CN105094321B

CN105094321B - The control method and device of smart machine

Info

Publication number: CN105094321B
Application number: CN201510395490.4A
Authority: CN
Inventors: 张鹏飞; 夏勇峰; 屈恒; 王益冬
Original assignee: Xiaomi Inc
Current assignee: Xiaomi Inc
Priority date: 2015-07-07
Filing date: 2015-07-07
Publication date: 2018-12-18
Anticipated expiration: 2035-07-07
Also published as: CN105094321A

Abstract

The disclosure is directed to a kind of control method and device of smart machine, belong to internet area.The described method includes: determining Intelligent target device identification, the Intelligent target device identification is the mark for the smart machine that user is being currently used；Based on the Intelligent target device identification, the vital sign data corresponding with the Intelligent target device identification of the user is obtained；Based on the Intelligent target device identification and the vital sign data, the Intelligent target equipment is controlled.The disclosure avoids user and manually controls to Intelligent target equipment, improves the control efficiency of Intelligent target equipment.

Description

The control method and device of smart machine

Technical field

This disclosure relates to internet area more particularly to a kind of control method and device of smart machine.

Background technique

With the development of technology, such as smart phone, intelligent air condition, smart television smart machine obtained it is more and more extensive Application.In order to play smart machine function to the maximum extent, smart machine can be controlled, and in the related art, Control to smart machine is typically all that user controls manually.

Summary of the invention

To overcome the problems in correlation technique, the disclosure provides a kind of control method and device of smart machine.

According to the first aspect of the embodiments of the present disclosure, a kind of control method of smart machine is provided, which comprises

Determine that Intelligent target device identification, the Intelligent target device identification are the smart machine that user is being currently used Mark；

Based on the Intelligent target device identification, the life corresponding with the Intelligent target device identification of the user is obtained Order sign data；

Based on the Intelligent target device identification and the vital sign data, the Intelligent target equipment is controlled System.

With reference to first aspect, in the first possible implementation of above-mentioned first aspect, the determining Intelligent target Device identification, comprising:

The opening of device information that the Intelligent target equipment is sent is received, the opening of device information carries the target intelligence Energy device identification, the opening of device information have turned on for identifying the Intelligent target equipment.

With reference to first aspect, in second of possible implementation of above-mentioned first aspect, the determining Intelligent target Device identification, comprising:

Detect the user behavior of current time；

Based on the user behavior, from the first presetting database, Intelligent target device identification is obtained, described first is default Database includes the corresponding relationship between user behavior, smart machine mark and first number.

The possible implementation of second with reference to first aspect, in the third possible realization side of above-mentioned first aspect It is described to be based on the user behavior in formula, from the first presetting database, obtain Intelligent target device identification, comprising:

It include user behavior, smart machine mark and first from first presetting database based on the user behavior In corresponding relationship between number, obtains at least one smart machine mark and at least one described smart machine mark is corresponding First number；

Corresponding first number is identified based at least one described smart machine, determines at least one described smart machine mark The probability of knowledge；

Based on the probability of at least one described smart machine mark, Intelligent target device identification is determined.

The third possible implementation with reference to first aspect, in the 4th kind of possible realization side of above-mentioned first aspect In formula, the probability based at least one described smart machine mark determines Intelligent target device identification, comprising:

Based on the probability of at least one described smart machine mark, judge at least one smart machine mark whether The smart machine that existing probability is greater than or equal to probability threshold value identifies；

When existing probability is greater than or equal to the smart machine of the probability threshold value at least one described smart machine mark When mark, from least one described smart machine mark, the maximum smart machine mark of select probability；

The smart machine mark of selection is determined as Intelligent target device identification.

The third possible implementation with reference to first aspect, in the 5th kind of possible realization side of above-mentioned first aspect It is described that corresponding first number is identified based at least one described smart machine in formula, determine at least one described smart machine The probability of mark, comprising:

Determine each of at least one smart machine mark smart machine identify corresponding first time it is several tired It is value added, obtain the first total degree；

For any smart machine mark at least one described smart machine mark, by smart machine mark pair First number answered obtains the probability of the smart machine mark divided by first total degree.

With reference to first aspect, in the 6th kind of possible implementation of above-mentioned first aspect, the determining Intelligent target Device identification, comprising:

Determine the period where current time；

Based on the period, from the second presetting database, Intelligent target device identification, second present count are obtained According to the corresponding relationship that library includes between period, smart machine mark and second number.

The 6th kind of possible implementation with reference to first aspect, in the 7th kind of possible realization side of above-mentioned first aspect It is described to be based on the period in formula, from the second presetting database, obtain Intelligent target device identification, comprising:

Based on the period, the period for including from second presetting database, smart machine mark and second In corresponding relationship between number, at least one smart machine mark and at least one described smart machine mark corresponding the are obtained Two numbers；

Corresponding second number is identified based at least one described smart machine, determines at least one described smart machine mark The probability of knowledge；

The 7th kind of possible implementation with reference to first aspect, in the 8th kind of possible realization side of above-mentioned first aspect It is described that corresponding second number is identified based at least one described smart machine in formula, determine at least one described smart machine The probability of mark, comprising:

Determine each of at least one smart machine mark smart machine identify corresponding second time it is several tired It is value added, obtain the second total degree；

For any smart machine mark at least one described smart machine mark, by smart machine mark pair Second number answered obtains the probability of the smart machine mark divided by second total degree.

With reference to first aspect, described to be based on the target in the 9th kind of possible implementation of above-mentioned first aspect Smart machine mark, obtains the vital sign data corresponding with the Intelligent target device identification of the user, comprising:

Based on the Intelligent target device identification, from the smart machine of storage mark with it is corresponding between vital sign attribute In relationship, corresponding vital sign attribute is obtained；

Based on the vital sign attribute, the corresponding vital sign of the user is detected, obtains the user's Vital sign data corresponding with the Intelligent target device identification.

With reference to first aspect, described to be based on the target in the tenth kind of possible implementation of above-mentioned first aspect Smart machine mark and the vital sign data, control the Intelligent target equipment, comprising:

Based on the Intelligent target device identification, the vital sign data is sent to server, makes the server The Intelligent target equipment is controlled based on the vital sign data；

Alternatively,

Based on the Intelligent target device identification, the vital sign data is sent to the target intelligence by server Energy equipment makes the Intelligent target equipment be based on the vital sign data and controls the Intelligent target equipment.

According to the second aspect of an embodiment of the present disclosure, a kind of control device of smart machine is provided, described device includes:

Determining module, for determining Intelligent target device identification, the Intelligent target device identification be user currently The mark of the smart machine used；

Module is obtained, for being based on the Intelligent target device identification, obtains setting with the Intelligent target for the user It is standby to identify corresponding vital sign data；

Control module, for being based on the Intelligent target device identification and the vital sign data, to the target intelligence Energy equipment is controlled.

In conjunction with second aspect, in the first possible implementation of above-mentioned second aspect, the determining module includes:

Receiving unit, the opening of device information sent for receiving the Intelligent target equipment, the opening of device information The Intelligent target device identification is carried, the opening of device information has turned on for identifying the Intelligent target equipment.

In conjunction with second aspect, in second of possible implementation of above-mentioned second aspect, the determining module includes:

First detection unit, for detecting the user behavior of current time；

First acquisition unit from the first presetting database, obtains Intelligent target equipment for being based on the user behavior Mark, first presetting database include the corresponding relationship between user behavior, smart machine mark and first number.

In conjunction with second of possible implementation of second aspect, in the third possible realization side of above-mentioned second aspect In formula, the first acquisition unit includes:

First obtain subelement, for be based on the user behavior, from first presetting database include user behavior, Smart machine mark first number between corresponding relationship in, obtain at least one smart machine mark with it is described at least one Smart machine identifies corresponding first number；

First determines subelement, for identifying corresponding first number based at least one described smart machine, determines institute State the probability of at least one smart machine mark；

Second determines that subelement, the probability for identifying based at least one described smart machine determine that Intelligent target is set Standby mark.

In conjunction with the third possible implementation of second aspect, in the 4th kind of possible realization side of above-mentioned second aspect In formula, described second determines that subelement is specifically used for:

In conjunction with the third possible implementation of second aspect, in the 5th kind of possible realization side of above-mentioned second aspect In formula, described first determines that subelement is specifically used for:

In conjunction with second aspect, in the 6th kind of possible implementation of above-mentioned second aspect, the determining module includes:

First determination unit, for determining the period where current time；

Second acquisition unit from the second presetting database, obtains Intelligent target equipment mark for being based on the period Know, second presetting database includes the corresponding relationship between period, smart machine mark and second number.

In conjunction with the 6th kind of possible implementation of second aspect, in the 7th kind of possible realization side of above-mentioned second aspect In formula, the second acquisition unit includes:

Second obtains subelement, for being based on the period, the period for including from second presetting database, intelligence In corresponding relationship between energy device identification and second number, at least one smart machine mark and at least one described intelligence are obtained It can corresponding second number of device identification；

Third determines subelement, for identifying corresponding second number based at least one described smart machine, determines institute State the probability of at least one smart machine mark；

4th determines that subelement, the probability for identifying based at least one described smart machine determine that Intelligent target is set Standby mark.

In conjunction with the 7th kind of possible implementation of second aspect, in the 8th kind of possible realization side of above-mentioned second aspect In formula, the third determines that subelement is specifically used for:

In conjunction with second aspect, in the 9th kind of possible implementation of above-mentioned second aspect, the acquisition module includes:

Third acquiring unit, for being based on the Intelligent target device identification, from the smart machine of storage mark and life In corresponding relationship between sign attribute, corresponding vital sign attribute is obtained；

Second detection unit is based on the vital sign attribute, detects, obtain to the corresponding vital sign of the user To the vital sign data corresponding with the Intelligent target device identification of the user.

In conjunction with second aspect, in the tenth kind of possible implementation of above-mentioned second aspect, the control module includes:

The vital sign data is sent to clothes for being based on the Intelligent target device identification by the first transmission unit Business device makes the server be based on the vital sign data and controls the Intelligent target equipment；

Alternatively,

The vital sign data is passed through service for being based on the Intelligent target device identification by the second transmission unit Device is sent to the Intelligent target equipment, and the Intelligent target equipment is made to be based on the vital sign data to the Intelligent target Equipment is controlled.

The third aspect, provides a kind of control device of smart machine, and described device includes:

Processor；

Memory for storage processor executable instruction；

Wherein, the processor is configured to:

The technical scheme provided by this disclosed embodiment can include the following benefits: in the embodiments of the present disclosure, lead to The intelligent wearable device for crossing user's wearing determines the Intelligent target device identification that user is being currently used, and is based on the target intelligence Energy device identification, obtains the vital sign data corresponding with Intelligent target device identification of user, is based on the Intelligent target equipment Mark and vital sign data, control the Intelligent target equipment, so as to avoid user to the hand of Intelligent target equipment Dynamic control, improves the control efficiency of Intelligent target equipment.

It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not The disclosure can be limited.

Detailed description of the invention

The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention Example, and be used to explain the principle of the present invention together with specification.

Fig. 1 is a kind of control system architecture diagram of smart machine shown according to an exemplary embodiment.

Fig. 2 is a kind of flow chart of the control method of smart machine shown according to an exemplary embodiment.

Fig. 3 is the flow chart of the control method of another smart machine shown according to an exemplary embodiment.

Fig. 4 is a kind of controling device structure diagram of smart machine shown according to an exemplary embodiment.

Fig. 5 is a kind of structural schematic diagram of determining module shown according to an exemplary embodiment.

Fig. 6 is a kind of first acquisition unit structural schematic diagram shown according to an exemplary embodiment.

Fig. 7 is the structural schematic diagram of another determining module shown according to an exemplary embodiment.

Fig. 8 is a kind of second acquisition unit structural schematic diagram shown according to an exemplary embodiment.

Fig. 9 is a kind of structural schematic diagram for obtaining module shown according to an exemplary embodiment.

Figure 10 is a kind of block diagram of control device for smart machine shown according to an exemplary embodiment.

Specific embodiment

Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment Described in embodiment do not represent all embodiments consistented with the present invention.On the contrary, they be only with it is such as appended The example of device and method being described in detail in claims, some aspects of the invention are consistent.

Fig. 1 is a kind of control system architecture diagram for smart machine that the embodiment of the present disclosure provides.Referring to Fig. 1, the system packet Include intelligent wearable device, mobile terminal, server and Intelligent target equipment.The intelligent wearable device can pass through with mobile terminal Network is attached, and the mobile terminal and server can be by network connections, and the server and Intelligent target equipment can also be with Pass through network connection.Intelligent wearable device is used to detect vital sign data, can also send/receive information；Mobile terminal is Communications intermediary equipment between intelligent wearable device and server, the letter for will be sent between server and intelligent wearable device Breath is forwarded；Server is the communications intermediary equipment between mobile terminal and Intelligent target equipment, for by mobile terminal with The information sent between Intelligent target equipment is forwarded.

Fig. 2 is a kind of flow chart of the control method of smart machine shown according to an exemplary embodiment, referring to fig. 2, Include the following steps.

In step 201, Intelligent target device identification is determined, which is being currently used for user Smart machine mark.

In step 202, it is based on the Intelligent target device identification, obtains the corresponding with Intelligent target device identification of user Vital sign data.

In step 203, based on the Intelligent target device identification and the vital sign data, to the Intelligent target equipment into Row control.

In the embodiments of the present disclosure, target that user is being currently used is determined by the intelligent wearable device that user dresses Smart machine mark, and it is based on the Intelligent target device identification, obtain the life corresponding with Intelligent target device identification of user Sign data controls the Intelligent target equipment based on the Intelligent target device identification and the vital sign data, thus It avoids and Intelligent target equipment is manually controlled, improve the control efficiency of Intelligent target equipment.

In another embodiment of the present disclosure, Intelligent target device identification is determined, comprising:

The opening of device information that Intelligent target equipment is sent is received, which carries the Intelligent target equipment mark Know, which has turned on for identifying the Intelligent target equipment.

Detect the user behavior of current time；

User behavior based on detection obtains the Intelligent target device identification from the first presetting database, and first is default Database includes the corresponding relationship between user behavior, smart machine mark and first number.

In another embodiment of the present disclosure, it is based on user behavior, from the first presetting database, Intelligent target is obtained and sets Standby mark, comprising:

Based on the user behavior, from the first presetting database include user behavior, smart machine mark with first time it is several it Between corresponding relationship in, obtain at least one smart machine mark and at least one smart machine identify corresponding first time Number；

Corresponding first number is identified based at least one smart machine, determines at least one smart machine mark Probability；

Based on the probability of at least one smart machine mark, the Intelligent target device identification is determined.

In another embodiment of the present disclosure, based on the probability of at least one smart machine mark, Intelligent target is determined Device identification, comprising:

Based on the probability of at least one smart machine mark, judge at least one smart machine mark with the presence or absence of general The smart machine that rate is greater than or equal to probability threshold value identifies；

When the smart machine that existing probability is greater than or equal to the probability threshold value at least one smart machine mark identifies When, from least one smart machine mark, the maximum smart machine mark of select probability；

In another embodiment of the present disclosure, corresponding first number is identified based at least one smart machine, is determined The probability of at least one smart machine mark, comprising:

Determine each of at least one smart machine mark smart machine identify corresponding first time it is several cumulative Value, obtains the first total degree；

For any smart machine mark at least one smart machine mark, smart machine is identified corresponding the Number obtains the probability of smart machine mark divided by first total degree.

Determine the period where current time；

Based on the determining period, from the second presetting database, the Intelligent target device identification is obtained, this is second default Database includes the corresponding relationship between period, smart machine mark and second number.

In another embodiment of the present disclosure, it is based on the period, from the second presetting database, Intelligent target is obtained and sets Standby mark, comprising:

Based on the period, between period, smart machine mark and second number that the second presetting database includes Corresponding relationship in, obtain at least one smart machine mark and at least one smart machine identify corresponding second number；

Corresponding second number is identified based at least one smart machine, determines at least one smart machine mark Probability；

Based on the probability of at least one smart machine mark, Intelligent target device identification is determined.

In another embodiment of the present disclosure, corresponding second number is identified based at least one smart machine, is determined The probability of at least one smart machine mark, comprising:

Determine each of at least one smart machine mark smart machine identify corresponding second time it is several cumulative Value, obtains the second total degree；

For any smart machine mark at least one smart machine mark, which is identified corresponding Second number obtains the probability of smart machine mark divided by second total degree.

In another embodiment of the present disclosure, be based on Intelligent target device identification, obtain user with Intelligent target equipment Identify corresponding vital sign data, comprising:

Corresponding relationship based on Intelligent target device identification, between the smart machine of storage mark and vital sign attribute In, obtain corresponding vital sign attribute；

Vital sign attribute based on acquisition detects the corresponding vital sign of user, obtains the user's and mesh It marks smart machine and identifies corresponding vital sign data.

In another embodiment of the present disclosure, based on the Intelligent target device identification and the vital sign data, to target Smart machine is controlled, comprising:

Based on the Intelligent target device identification, which is sent to server, being based on the server should Vital sign data controls the Intelligent target equipment；

Alternatively,

Based on the Intelligent target device identification, which is sent to Intelligent target equipment by server, Make the Intelligent target equipment be based on the vital sign data to control the Intelligent target equipment.

All the above alternatives, can form the alternative embodiment of the disclosure according to any combination, and the disclosure is real It applies example and this is no longer repeated one by one.

Fig. 3 is a kind of flow chart of the control method of smart machine shown according to an exemplary embodiment.Referring to Fig. 3, This approach includes the following steps.

In step 301, determine that Intelligent target device identification, Intelligent target device identification are what user was being currently used The mark of smart machine.

In order to improve the control efficiency of Intelligent target equipment, when Intelligent target equipment is used in user, can pass through The intelligent wearable device of user wearing controls the Intelligent target equipment.And the Intelligent target equipment is carried out controlling it Before, which can determine the Intelligent target device identification, and in the embodiments of the present disclosure, intelligent wearable device can be with Intelligent target device identification is determined by following three kinds of modes, comprising:

First way, receives the opening of device information that Intelligent target equipment is sent, which carries target Smart machine mark, opening of device information have turned on for identifying Intelligent target equipment.

For first way, when user opens the Intelligent target equipment, which can be to server Sending device opening imformation.When server receives the opening of device information of Intelligent target equipment transmission, which will The opening of device information is sent to mobile terminal.After the mobile terminal receives the opening of device information, which is believed Breath is transmitted to intelligent wearable device.After intelligent wearable device receives the opening of device information, it can confirm that user is used Intelligent target device identification.

Wherein, in the embodiments of the present disclosure, it when mobile terminal is communicated with intelligent wearable device, needs in the terminal One wearable device client is installed, includes between wearable device client and intelligent wearable device in the wearable device client Interface, therefore, which can be by being communicated between the interface and intelligent wearable device.

In addition, with the development of technology, intelligent wearable device can also be with server direct communication.Therefore, at the first In mode, when server receives the opening of device information of Intelligent target equipment transmission, which can be by the opening of device Information is transmitted directly to intelligent wearable device, is forwarded without being subjected to mobile terminal, improves information exchange efficiency.

It should be noted that the intelligent wearable device can be Intelligent bracelet, smartwatch, intelligent glasses or intelligent item Chain, certainly, intelligent wearable device can also be other wearable smart machines, and the embodiment of the present disclosure does not do specific limit to this It is fixed.

In addition, Intelligent target device identification is the mark of Intelligent target equipment, which is used to unique The Intelligent target equipment is identified, and the Intelligent target device identification can be the model of Intelligent target equipment, Intelligent target equipment Title or the factory sequence number of Intelligent target equipment etc., certainly, which can also be that other can be with Indicate that the mark of Intelligent target equipment, the embodiment of the present disclosure do not do specific restriction to this.

Furthermore the communication mode between intelligent wearable device and mobile terminal can be Wi-Fi (Wireless Fidelity, Wireless Fidelity), NFC (Near Field communication, wireless near field communication) or bluetooth, when So, the communication mode between intelligent wearable device and mobile terminal can also be other communication modes, such as infrared communication side Formula, the embodiment of the present disclosure are not specifically limited in this embodiment.

The second way detects the user behavior of current time；User behavior based on detection, from the first presetting database In, Intelligent target device identification is obtained, the first presetting database includes between user behavior, smart machine mark and first number Corresponding relationship.

For the second way, which can detecte the user behavior of current time, be based on user's row For, from the first presetting database include user behavior, smart machine mark first number between corresponding relationship in, acquisition pair The smart machine mark answered and first number obtain at least one smart machine mark and at least one smart machine mark pair First number answered；Corresponding first number is identified based at least one smart machine, determines at least one smart machine The probability of mark；Based on the probability of at least one smart machine mark, Intelligent target device identification is determined.

Wherein, which is based at least one smart machine and identifies corresponding first number, determines this extremely The operation of the probability of few smart machine mark can be with are as follows: the intelligent wearable device determines that at least one smart machine identifies In each smart machine identify corresponding first several accumulated value, obtain the first total degree；For at least one intelligence The smart machine is identified corresponding first number divided by the first total degree, obtained by any smart machine mark in device identification The probability identified to the smart machine, to obtain the probability of at least one smart machine mark.

In addition, the probability that the intelligent wearable device is identified based at least one smart machine, determines Intelligent target equipment The operation of mark can be with are as follows: the intelligent wearable device compares the probability that at least one smart machine identifies with probability threshold value Compared with to judge the smart machine mark for being greater than or equal to probability threshold value at least one smart machine mark with the presence or absence of probability Know；When existing probability is greater than or equal to the smart machine mark of probability threshold value at least one smart machine mark, from this In at least one smart machine mark, the maximum smart machine mark of select probability；The smart machine mark of selection is determined as Intelligent target device identification.

For example, intelligent wearable device detects that the user behavior of current time is " running ", at this point, this is intelligently dressed Equipment can be based on the user behavior, pair between user behavior as shown in table 1 below, smart machine mark and first number In should being related to, corresponding smart machine mark and first number are obtained, obtaining at least one smart machine mark is respectively intelligence TV, intelligent running machine and intelligent earphone, and obtaining corresponding first number of smart television is 1 time, intelligent running machine is corresponding First number be 28 times, corresponding first number of intelligent earphone be 2 times, hence, it can be determined that at least one smart machine Each smart machine identifies corresponding first several accumulated value in mark, and obtaining the first total degree is 31 times, will intelligence electricity Depending on corresponding first number divided by first total degree, obtaining the corresponding probability of smart television is 0.032, by intelligent running machine pair For first number answered divided by first total degree, obtaining the corresponding probability of intelligent running machine is 0.903, and intelligent earphone is corresponding For first number divided by first total degree, obtaining the corresponding probability of intelligent earphone is 0.065.If probability threshold value 0.9, will The smart television, intelligent running machine and the corresponding probability of intelligent earphone are compared with the probability threshold value, determine intelligence running The corresponding probability of machine is greater than probability threshold value, and the corresponding maximum probability of the intelligent running machine.Therefore, the user behavior of current time When for " running ", intelligent running machine can be determined as to Intelligent target device identification.

Table 1

User behavior	Smart machine mark	First number
			It is running	Smart television	1 time
It is running	Intelligent running machine	28 times
			It is running	Intelligent earphone	2 times

It should be noted that in the embodiments of the present disclosure, only being identified with user behavior shown in above-mentioned table 1, smart machine It is illustrated for corresponding relationship between first number, above-mentioned table 1 does not constitute the embodiment of the present disclosure and limits.

Further, when there is no the intelligence that probability is greater than or equal to probability threshold value at least one smart machine mark It when device identification, that is to say, the probability of at least one smart machine mark is respectively less than probability threshold value, at this point, this is intelligently dressed Equipment can determine Intelligent target device identification by above-mentioned first way, and the embodiment of the present disclosure is no longer explained in detail herein It states.

It should be noted that the user behavior stored in the first presetting database, smart machine mark with first time it is several it Between corresponding relationship be that the behavioral data based on user in the first preset time period obtains, that is to say, which can be with Acquire the user behavior generated in the first preset time period, smart machine mark associated with the user behavior and the use The degree of incidence of family behavior and smart machine mark, and then the user behavior, intelligence associated with the user behavior are set The degree of incidence of standby mark, the user behavior and smart machine mark is stored in user's row that the first presetting database includes Between, smart machine mark and first number in corresponding relationship.

Wherein, which can store in intelligent wearable device, and certainly, first presetting database is also It can store in other equipment, such as server, later, which first can preset this from server Database is downloaded to local, and the disclosure does not do specific restriction to this.

Wherein, the length of the first preset time period is set in advance, and the first preset time period can be current time It before 1 month, 2 months or 3 months, is also possible to be other times length certainly, the disclosure does not do this specific restriction. In addition, probability threshold value can be it is set in advance, for example, the probability threshold value be 0.9,0.95 etc., the embodiment of the present disclosure is equally right This is not specifically limited.

For example, intelligent wearable device acquires user in May, 2015, when user behavior is " running ", with " running " associated smart machine is identified as smart television, intelligent running machine and intelligent earphone, and the pass of smart television Joining number is 1 time, and the degree of incidence of intelligent running machine is 28 times, and the degree of incidence of intelligent earphone is 2 times." will run ", " smart television " and " 1 time " is stored in corresponding between user behavior shown in above-mentioned table 1, smart machine mark and first number In relationship, similarly, " it will run ", " intelligent running machine " and " 28 times ", and " will run ", " intelligent earphone " and " 2 It is secondary " it is stored in the corresponding relationship between the user behavior shown in above-mentioned table 1, smart machine mark and first number.

The third mode detects the period where current time；Period based on detection, from the second presetting database In, Intelligent target device identification is obtained, the second presetting database includes between period, smart machine mark and second number Corresponding relationship.

For the third mode, which detects the period where current time；Time based on detection Section, from the corresponding relationship between period, smart machine mark and second number that the second presetting database includes, acquisition pair The smart machine mark answered and second number obtain at least one smart machine mark and at least one smart machine mark pair Second number answered；Corresponding second number is identified based at least one smart machine, determines at least one smart machine The probability of mark；Based on the probability of at least one smart machine mark, Intelligent target device identification is determined.

It should be noted that the intelligent wearable device detection current time where period when, the intelligent wearable device Can based in the corresponding relationship between period that the second presetting database includes, smart machine mark and second number when Between section be determined, certainly, which can also be not based on the period that the second presetting database includes, intelligence is set The period in corresponding relationship between standby mark and second number is determined, and that is to say, intelligent wearable device detection is worked as Period where the preceding time can be identical as the period where current time in the second presetting database, might be less that Period in two presetting databases where current time, the embodiment of the present disclosure do not do specific restriction to this.

In addition, the length of the period where current time can be 20 minutes, 25 minutes or 30 minutes, may be used also certainly It can be other times segment length, the disclosure does not do specific restriction to this.

Wherein, which is based at least one smart machine and identifies corresponding second number, determines this extremely The operation of the probability of few smart machine mark can be with are as follows: the intelligent wearable device determines that at least one smart machine identifies In each smart machine identify corresponding second several accumulated value, obtain the second total degree；For at least one intelligence The smart machine is identified corresponding second number divided by the second total degree, obtained by any smart machine mark in device identification The probability identified to the smart machine, to obtain the probability of at least one smart machine mark.

In addition, the probability that the intelligent wearable device is identified based at least one smart machine, determines Intelligent target equipment The operation of mark can be with are as follows: the intelligent wearable device compares the probability that at least one smart machine identifies with probability threshold value Compared with to judge the smart machine mark for being greater than or equal to probability threshold value at least one smart machine mark with the presence or absence of probability Know；When existing probability is greater than or equal to the smart machine mark of the probability threshold value at least one smart machine mark, from In at least one smart machine mark, the maximum smart machine mark of select probability；The smart machine of selection is identified and is determined For Intelligent target device identification.

For example, the period where intelligent wearable device detects current time is " 19:00~19:30 ", at this point, the intelligence Energy wearable device can be based on the period, between period as shown in table 2 below, smart machine mark and second number In corresponding relationship, corresponding smart machine mark and second number are obtained, obtaining at least one smart machine mark is respectively intelligence Energy TV and pad, and obtaining corresponding second number of smart television is 29 times, corresponding second number of pad is 2 times, therefore, It can determine that each smart machine identifies corresponding second several accumulated value at least one smart machine mark, obtains Second total degree is 31 times, and by corresponding second number of smart television divided by the second total degree, it is corresponding general to obtain smart television Rate is 0.935, and by corresponding second number of pad divided by second total degree, obtaining the corresponding probability of pad is 0.065.If general Rate threshold value is 0.9, and smart television and the corresponding probability of pad are compared with the probability threshold value, determines that smart television is corresponding Probability be greater than probability threshold value, and the corresponding maximum probability of the smart television.Therefore, the period where current time be " 19: When 00~19:30 ", smart television can be determined as to Intelligent target device identification.

Table 2

Period	Smart machine mark	Second number
			19:00~19:30	Television set	29 times
19:00~19:30	Pad	2 times

It should be noted that in the embodiments of the present disclosure, only with the period shown in above-mentioned table 2, smart machine mark with It is illustrated for corresponding relationship between second number, above-mentioned table 2 does not constitute the embodiment of the present disclosure and limits.

It should be noted that between the period stored in the second presetting database, smart machine mark and second number Corresponding relationship be that the state based on each smart machine in the time cycles multiple in the second preset time period obtains, that is to say, The intelligent wearable device can acquire the state of each smart machine in multiple time cycles in the second preset time period, at acquisition It is identified in the smart machine of opening state, the period and the time where determining the smart machine in the open state Section with obtain smart machine mark degree of incidence, and then by the smart machine of the period, acquisition mark, the period and The degree of incidence of the smart machine mark of acquisition is stored in period, smart machine mark that the second presetting database includes and the Between two numbers in corresponding relationship.

Wherein, which can store in intelligent wearable device, and certainly, second presetting database is also It can store in other equipment, such as server, later, which first can preset this from server Database is downloaded to local, and the disclosure does not do specific restriction to this.

Wherein, the length of the second preset time period is set in advance, and the first preset time period can be current time It before 1 month, 2 months or 3 months, is also possible to be other times length certainly, the disclosure does not do this specific restriction.

For example, intelligent wearable device acquired in user's 31 days Mays in 2015, the period is " 19:00~19:30 " When, at " 19:00~19:30 ", smart machine in the open state is identified as smart television and pad, and the pass of smart television Joining number is 29 times, and the degree of incidence of pad is 2 times." 19:00~19:30 ", " smart television " and " 29 times " is stored in above-mentioned In corresponding relationship between period of table 2, smart machine mark and second number, similarly, by " 19:00~19:30 ", " pad " and " 2 times " is stored in the corresponding relationship between the period of above-mentioned table 2, smart machine mark and second number.

In step 302, be based on Intelligent target device identification, from the smart machine of storage mark with vital sign attribute it Between corresponding relationship in, obtain corresponding vital sign attribute.

For different Intelligent target device identifications, vital sign attribute corresponding to the Intelligent target device identification is not Together, for example, " intelligent air condition " corresponding vital sign attribute is " body temperature ", and " intelligent running machine " corresponding vital sign attribute For " running frequency ".Therefore, which needs before detecting vital sign data based on the Intelligent target equipment Mark obtains corresponding vital sign category from the corresponding relationship between the smart machine of storage mark and vital sign attribute Property.

For example, intelligent wearable device detect user's smart machine currently in use be identified as " intelligent air condition ", at this point, The intelligence is worn on before detection vital sign data, needs to identify based on the smart machine, from target intelligence as shown in table 3 below In corresponding relationship between energy device identification and vital sign attribute, corresponding vital sign attribute is obtained, so as to obtain Vital sign attribute is " body temperature ".

Table 3

Intelligent target device identification	Vital sign attribute
		Intelligent air condition	Body temperature
Smart television	Heart rate
		Intelligent earphone	Heart rate
Intelligent running machine	Operating frequency

It should be noted that in the embodiments of the present disclosure, only with the mark of smart machine shown in above-mentioned table 3 and vital sign It is illustrated for corresponding relationship between attribute, above-mentioned table 3 does not constitute the embodiment of the present disclosure and limits.

In addition, vital sign attribute be user's vital sign property, for example, vital sign attribute can be body temperature, heart rate, Operating frequency or movement range, certainly, the vital sign attribute can also be other vital sign properties, the embodiment of the present disclosure It is not specifically limited in this embodiment.

Furthermore the corresponding relationship between smart machine mark and vital sign attribute can store in intelligent wearable device or In person's server, certainly, which can also be stored in other equipment, and the disclosure does not do specific restriction to this.

In step 303, it is based on the vital sign attribute, the corresponding vital sign of the user is detected, is somebody's turn to do The vital sign data corresponding with Intelligent target device identification of user.

After obtaining the corresponding vital sign attribute of Intelligent target device identification, which can be based on the life Sign attribute is ordered, vital sign data corresponding with the vital sign attribute is detected.

For example, the intelligent wearable device can detecte corresponding with body temperature when the vital sign attribute of user is body temperature Vital sign data obtains 36.5 degrees Celsius.

In step 304, it is based on Intelligent target device identification and vital sign data, Intelligent target equipment is controlled System.

In the embodiments of the present disclosure, not only server can control Intelligent target equipment, the Intelligent target equipment Itself can also be controlled, therefore, when the intelligent wearable device detect user with Intelligent target device identification pair After the vital sign data answered, which can be controlled Intelligent target equipment by following two mode System, comprising:

First way is based on Intelligent target device identification, vital sign data is sent to server, makes server base Intelligent target equipment is controlled in vital sign data.

For first way, which is sent to mobile terminal by intelligent wearable device, and mobile terminal connects After receiving the vital sign data, which is sent to server, which is judged by server According to whether exception is then based on Intelligent target device identification by server, to the Intelligent target when the vital sign data exception Equipment sends control signal, to realize the control to Intelligent target equipment.

Further, when the vital sign data is normal, which is not controlled Intelligent target equipment then, into And wait vital sign data next time to be received.

Wherein, vital sign number is judged for different smart machine marks and different vital sign attributes, server According to whether abnormal method is different, it is illustrated by two kinds of judgment methods below, it may be assumed that

Judgment method one judges the vital sign data whether in normal vital signs data area, when the life entity When levying data not in the normal vital signs data area, it is determined that the vital sign data is abnormal.When the vital sign number When according in the normal vital signs data area, it is determined that the vital sign data is normal.

Wherein, range when normal vital signs data area is user's progress normal behaviour where vital sign data.

In addition, the vital sign data is likely less than normal vital signs data area when vital sign data exception Minimum value, alternatively, the vital sign data is likely larger than the maximum value of normal vital signs data area, therefore, server Further Intelligent target equipment can be controlled by two kinds of strategies, it may be assumed that when vital sign data is less than normal life body When levying the minimum value of data area, which can be controlled by tactful twin target smart machine；Work as vital sign When data are greater than the maximum value of the normal vital signs data area, which can pass through tactful two pairs of Intelligent target equipment It is controlled.

It should be noted that for different vital sign datas and different smart machines, strategy one and strategy two Particular content may be different, and strategy one and strategy two may be the same or different, and the embodiment of the present disclosure does not do this It is specific to limit.

For example, intelligent wearable device storage user's normal body temperature range be 36.5~36.8 degrees Celsius, when user When using intelligent air condition, intelligent wearable device detects that the temperature data of user is 36.3 degrees Celsius, and the temperature data does not exist In normal body temperature range, temperature data exception is determined, and the temperature data is less than the minimum value of the normal body temperature range, service Device is then controlled using tactful twin target smart machine, i.e., sends the first control information to intelligent air condition processed, make the intelligence Air-conditioning increases indoor temperature.If intelligent wearable device detects that the temperature data of user is 36.9 degrees Celsius, the body temperature number According in normal body temperature range, do not determine the temperature data exception, and the temperature data be greater than the normal body temperature range most Big value, server are then controlled using tactful two pairs of Intelligent target equipment, i.e., send the second control information to intelligent air condition, make The intelligent air condition reduces indoor temperature.

Whether judgment method two judges the change rate of the vital sign data in expected vital sign data change rate range It is interior, when the change rate of vital sign data is not within the scope of expected vital sign data change rate, it is determined that the vital sign Data exception.When the change rate of vital sign data is within the scope of expected vital sign data change rate, it is determined that the life Sign data is normal.

Further, when server often receives a vital sign data, it may store the received vital sign number Accordingly and the receiving time of the vital sign data.When whether the server judges the change rate of the vital sign data in expection When within the scope of vital sign data change rate, the server can by vital sign data that current time receives and it is current when Between before and subtract each other from the last received vital sign data of current time, obtain vital sign data variable quantity, will work as The preceding time subtracts each other with the receiving time before current time and from the last received vital sign data of current time, obtains Receiving time interval, and then by the vital sign data variable quantity divided by receiving time interval, it can obtain vital sign number According to change rate.

Additionally, it is contemplated that vital sign data change rate range is set in advance, and the expection vital sign data changes Rate range is the change rate range where vital sign data of the user using Intelligent target equipment and when achieving the desired results, such as Smart television is playing horrow movie, and vital sign data is heart rate, therefore, it is contemplated that change rate of heartbeat range is user's viewing Reach the change rate of heartbeat range of expected terrified effect when the horrow movie.

Furthermore when vital sign data exception, which is likely less than expected vital sign number According to the minimum value of change rate range, alternatively, the vital sign data change rate is likely larger than expected vital sign data change rate The maximum value of range, therefore, server can further control Intelligent target equipment by two kinds of strategies, it may be assumed that work as life When ordering minimum value of the sign data change rate less than the expection vital sign data change rate range, which can pass through plan Slightly three pairs of Intelligent target equipment control；When vital sign data change rate is greater than the expection vital sign data change rate model When the maximum value enclosed, which can be controlled by tactful four pairs of Intelligent target equipment；

It should be noted that for different vital sign datas and different smart machines, strategy three and strategy four Particular content may be different, and strategy three and strategy four may be the same or different, and the embodiment of the present disclosure does not do this It is specific to limit.

For example, when user is passing through smart television and is seeing horror film, it is contemplated that change rate of heartbeat range is 5~10 beats/min, When intelligent wearable device detects that the change rate of heartbeat of user is 0 beat/min, determine that the change rate of heartbeat does not become in expected heart rate Within the scope of rate, heart rate exception is determined, and the change rate of heartbeat is less than the minimum value of expected change rate of heartbeat range, server It is then controlled using tactful three pairs of TVs, i.e., sends prompt information to the smart television, change smart television prompt user One film；When intelligent wearable device detects that the change rate of heartbeat of user is 15 beats/min, determine that the change rate of heartbeat does not exist It is expected that determining heart rate exception, and the change rate of heartbeat is greater than expected change rate of heartbeat range most within the scope of change rate of heartbeat Big value, server are then controlled using tactful two pairs of smart televisions, i.e., send prompt information to the smart television, make the intelligence Television reminding user changes a film, or sends to the smart television and stop broadcast information, and the smart television is made to stop playing The horrow movie.

The second way is based on Intelligent target device identification, vital sign data is sent to target intelligence by server Energy equipment makes Intelligent target equipment be based on vital sign data and controls Intelligent target equipment.

For the second way, which is sent to mobile terminal by intelligent wearable device, and mobile terminal connects After receiving the vital sign data, which is sent to server, server receives the vital sign number According to later, which is sent to Intelligent target equipment, then the vital sign data is judged by Intelligent target equipment It is whether abnormal, when the vital sign data exception, then the Intelligent target equipment itself is controlled, Intelligent target is set to realize Standby control.

Further, when the vital sign data is normal, the Intelligent target equipment is not then to the Intelligent target equipment sheet Body is controlled, so etc. vital sign data next time to be received.

In the embodiments of the present disclosure, target that user is being currently used is determined by the intelligent wearable device that user dresses Smart machine mark, and it is based on the Intelligent target device identification, obtain the life corresponding with Intelligent target device identification of user Sign data is based on the Intelligent target device identification and vital sign data, controls the Intelligent target equipment, to keep away Exempt from user to manually control Intelligent target equipment, improves the control efficiency of Intelligent target equipment.

Fig. 4 is a kind of 400 block diagram of control device of smart machine shown according to an exemplary embodiment.Referring to fig. 4, should Device includes:

Determining module 401, for determining Intelligent target device identification, the Intelligent target device identification be user currently The mark of the smart machine used；

Obtain module 402, for being based on the Intelligent target device identification, obtain the user with Intelligent target device identification Corresponding vital sign data；

Control module 403, for being set to the Intelligent target based on the Intelligent target device identification and the vital sign data It is standby to be controlled.

In another embodiment of the present disclosure, determining module 401 includes:

Receiving unit, for receiving the opening of device information of Intelligent target equipment transmission, which is carried The Intelligent target device identification, opening of device information have turned on for identifying the Intelligent target equipment.

In another embodiment of the present disclosure, referring to Fig. 5, determining module 401 includes:

First detection unit 4011, for detecting the user behavior of current time；

First acquisition unit 4012 from the first presetting database, obtains Intelligent target and sets for being based on the user behavior Standby mark, the first presetting database include the corresponding relationship between user behavior, smart machine mark and first number.

In another embodiment of the present disclosure, referring to Fig. 6, first acquisition unit 4012 includes:

First obtain subelement 40121, for be based on the user behavior, from the first presetting database include user behavior, In corresponding relationship between smart machine mark and first number, at least one smart machine mark and at least one intelligence are obtained Corresponding first number of device identification；

First determines subelement 40122, and for identifying corresponding first number based at least one smart machine, determining should The probability of at least one smart machine mark；

Second determines that subelement 40123, the probability for identifying based at least one smart machine determine Intelligent target Device identification.

In another embodiment of the present disclosure, second determines that subelement 40123 is specifically used for:

In another embodiment of the present disclosure, first determines that subelement 40122 is specifically used for:

Determine that each smart machine identifies corresponding first several accumulated value at least one smart machine mark, obtains To the first total degree；

For any smart machine mark at least one smart machine mark, smart machine is identified corresponding the Number obtains the probability of smart machine mark divided by the first total degree.

In another embodiment of the present disclosure, referring to Fig. 7, determining module 401 includes:

First determination unit 4013, for determining the period where current time；

Second acquisition unit 4014 from the second presetting database, obtains Intelligent target equipment for being based on the period Mark, the second presetting database include the corresponding relationship between period, smart machine mark and second number.

In another embodiment of the present disclosure, referring to Fig. 8, second acquisition unit 4014 includes:

Second obtains subelement 40141, for being based on period, the period for including from the second presetting database, intelligence In corresponding relationship between device identification and second number, at least one smart machine mark and at least one smart machine are obtained Identify corresponding second number；

Third determines subelement 40142, for identifying corresponding second number based at least one smart machine, determines The probability of at least one smart machine mark；

4th determines that subelement 40143, the probability for identifying based at least one smart machine determine that Intelligent target is set Standby mark.

In another embodiment of the present disclosure, third determines that subelement 40142 is specifically used for:

Determine that each smart machine identifies corresponding second several accumulated value at least one smart machine mark, Obtain the second total degree；

For any smart machine mark at least one smart machine mark, which is identified corresponding Second number obtains the probability of smart machine mark divided by the second total degree.

In another embodiment of the present disclosure, referring to Fig. 9, obtaining module 402 includes:

Third acquiring unit 4021, for being based on Intelligent target device identification, from the smart machine of storage mark and life In corresponding relationship between sign attribute, corresponding vital sign attribute is obtained；

Second detection unit 4022 is based on the vital sign attribute, detects, obtain to the corresponding vital sign of user The vital sign data corresponding with Intelligent target device identification of user.

In another embodiment of the present disclosure, control module 403 includes:

First transmission unit, for based on the Intelligent target device identification, which to be sent to server, Make server be based on the vital sign data to control the Intelligent target equipment；

Alternatively,

Second transmission unit is sent the vital sign data by server for being based on Intelligent target device identification The Intelligent target equipment is given, so that Intelligent target equipment is based on the vital sign data and the Intelligent target equipment is controlled.

About the device in above-described embodiment, wherein modules execute the concrete mode of operation in related this method Embodiment in be described in detail, no detailed explanation will be given here.

Figure 10 is a kind of block diagram of control device 1000 for smart machine shown according to an exemplary embodiment.Example Such as, device 1000 can be Intelligent bracelet, intelligent glasses, intelligent ear muff, intelligent necklace, mobile phone, computer, digital broadcasting Terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc..

Referring to Fig.1 0, device 1000 may include following one or more components: processing component 1002, memory 1004, Power supply module 1006, multimedia component 1008, audio component 1010, the interface 1012 of input/output (I/O), sensor module 1014 and communication component 1016.

The integrated operation of the usual control device 1000 of processing component 1002, such as with display, telephone call, data communication, Camera operation and record operate associated operation.Processing element 1002 may include one or more processors 1020 to execute Instruction, to perform all or part of the steps of the methods described above.In addition, processing component 1002 may include one or more moulds Block, convenient for the interaction between processing component 1002 and other assemblies.For example, processing component 1002 may include multi-media module, To facilitate the interaction between multimedia component 1008 and processing component 1002.

Memory 1004 is configured as storing various types of data to support the operation in equipment 1000.These data Example includes the instruction of any application or method for operating on device 1000, vital sign data, time, video Deng.Memory 1004 can be realized by any kind of volatibility or non-volatile memory device or their combination, such as quiet State random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), the read-only storage of erasable programmable Device (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory or flash memory.

Electric power assembly 1006 provides electric power for the various assemblies of device 1000.Electric power assembly 1006 may include power management System, one or more power supplys and other with for device 1000 generate, manage, and distribute the associated component of electric power.

Multimedia component 1008 includes the screen of one output interface of offer between described device 1000 and user.? In some embodiments, screen may include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, Screen may be implemented as touch screen, to receive input signal from the user.Touch panel includes that one or more touch passes Sensor is to sense the gesture on touch, slide, and touch panel.The touch sensor can not only sense touch or sliding is dynamic The boundary of work, but also detect duration and pressure associated with the touch or slide operation.In some embodiments, more Media component 1008 includes a front camera and/or rear camera.When equipment 1000 is in operation mode, as shot mould When formula or video mode, front camera and/or rear camera can receive external multi-medium data.Each preposition camera shooting Head and rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.

Audio component 1010 is configured as output and/or input audio signal.For example, audio component 1010 includes a wheat Gram wind (MIC), when device 1000 is in operation mode, when such as call mode, recording mode, and voice recognition mode, microphone quilt It is configured to receive external audio signal.The received audio signal can be further stored in memory 1004 or via communication Component 1016 is sent.In some embodiments, audio component 1010 further includes a loudspeaker, is used for output audio signal.

I/O interface 1012 provides interface, above-mentioned peripheral interface module between processing component 1002 and peripheral interface module It can be keyboard, click wheel, button etc..These buttons may include, but are not limited to: home button, volume button, start button and Locking press button.

Sensor module 1014 includes one or more sensors, and the state for providing various aspects for device 1000 is commented Estimate.For example, sensor module 1014 can detecte the state that opens/closes of equipment 1000, the relative positioning of component, such as institute The display and keypad that component is device 1000 are stated, sensor module 1014 can be with detection device 1000 or device 1,000 1 The position change of a component, the existence or non-existence that user contacts with device 1000,1000 orientation of device or acceleration/deceleration and dress Set 1000 temperature change.Sensor module 1014 may include proximity sensor, be configured in not any physics It is detected the presence of nearby objects when contact.Sensor module 1014 can also include optical sensor, as CMOS or ccd image are sensed Device, for being used in imaging applications.In some embodiments, which can also include acceleration sensing Device, gyro sensor, Magnetic Sensor, pressure sensor or temperature sensor.

Communication component 1016 is configured to facilitate the communication of wired or wireless way between device 1000 and other equipment.Dress The wireless network based on communication standard, such as WiFi can be accessed by setting 1000,2G or 3G or their combination.It is exemplary at one In embodiment, communication component 1016 receives broadcast singal or broadcast correlation from external broadcasting management system via broadcast channel Information.In one exemplary embodiment, the communication component 1016 further includes near-field communication (NFC) module, to promote short distance Communication.For example, radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band can be based in NFC module (UWB) technology, bluetooth (BT) technology and other technologies are realized.

In the exemplary embodiment, device 1000 can be by one or more application specific integrated circuit (ASIC), number Signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for executing the above method.

In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instruction, example are additionally provided It such as include the memory 1004 of instruction, above-metioned instruction can be executed by the processor 1020 of device 1000 to complete the above method.

For example, the non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD- ROM and optical data storage devices etc..

A kind of non-transitorycomputer readable storage medium, when the instruction in the storage medium is by the processing of mobile terminal When device executes, so that mobile terminal is able to carry out a kind of control method of smart machine, which comprises

Determine Intelligent target device identification, which is the smart machine that user is being currently used Mark；

Based on Intelligent target device identification, the vital sign data corresponding with Intelligent target device identification of user is obtained；

Based on Intelligent target device identification and vital sign data, which is controlled.

Detect the user behavior of current time；

Based on user behavior, from the first presetting database, Intelligent target device identification, the first presetting database packet are obtained Include the corresponding relationship between user behavior, smart machine mark and first number.

Based on the user behavior, from the first presetting database include user behavior, smart machine mark with first time it is several it Between corresponding relationship in, obtain at least one smart machine mark and at least one smart machine identify corresponding first number；

Corresponding first number is identified based at least one smart machine, determines the general of at least one smart machine mark Rate；

In another embodiment of the present disclosure, based on the probability of at least one smart machine mark, determine that Intelligent target is set Standby mark, comprising:

Based on the probability of at least one smart machine mark, judge at least one smart machine mark with the presence or absence of probability Smart machine more than or equal to probability threshold value identifies；

When existing probability is greater than or equal to the smart machine mark of the probability threshold value at least one smart machine mark, From at least one smart machine mark, the maximum smart machine mark of select probability；

In another embodiment of the present disclosure, corresponding first number is identified based at least one smart machine, is determined extremely The probability of few smart machine mark, comprising:

For any smart machine mark at least one smart machine mark, smart machine is identified corresponding first Number obtains the probability of smart machine mark divided by the first total degree.

Determine the period where current time；

Based on the period, from the second presetting database, Intelligent target device identification, the second presetting database packet are obtained Include the corresponding relationship between period, smart machine mark and second number.

In another embodiment of the present disclosure, corresponding second number is identified based at least one smart machine, determining should The probability of at least one smart machine mark, comprising:

Determine that each smart machine identifies corresponding second several accumulated value at least one smart machine mark, obtains To the second total degree；

For any smart machine mark at least one smart machine mark, by smart machine mark corresponding the Two numbers obtain the probability of smart machine mark divided by second total degree.

Based on vital sign attribute, the corresponding vital sign of user is detected, obtains setting with Intelligent target for user It is standby to identify corresponding vital sign data.

In another embodiment of the present disclosure, it is based on Intelligent target device identification and vital sign data, to Intelligent target Equipment is controlled, comprising:

Based on Intelligent target device identification, vital sign data is sent to server, the server is made to be based on the life Sign data controls the Intelligent target equipment；

Alternatively,

Based on Intelligent target device identification, vital sign data is sent to Intelligent target equipment by server, makes this Intelligent target equipment is based on the vital sign data and controls the Intelligent target equipment.

Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to of the invention its Its embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes or Person's adaptive change follows general principle of the invention and including the undocumented common knowledge in the art of the disclosure Or conventional techniques.The description and examples are only to be considered as illustrative, and true scope and spirit of the invention are by following Claim is pointed out.

It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is limited only by the attached claims.

Claims

1. a kind of control method of smart machine, which is characterized in that the described method includes:

The user behavior of current time is detected, and is based on the user behavior, from the first presetting database, obtains Intelligent target Device identification；Alternatively, determining the period where current time, and obtained from the second presetting database based on the period Intelligent target device identification is taken, first presetting database includes between user behavior, smart machine mark and first number Corresponding relationship, second presetting database include the period, smart machine mark second number between corresponding relationship, The Intelligent target device identification is the mark for the smart machine that user is being currently used；

Based on the Intelligent target device identification, the life entity corresponding with the Intelligent target device identification of the user is obtained Levy data；

Based on the Intelligent target device identification and the vital sign data, the Intelligent target equipment is controlled.

2. the method as described in claim 1, which is characterized in that it is described to be based on the user behavior, from the first presetting database In, obtain Intelligent target device identification, comprising:

It include user behavior, smart machine mark and first number from first presetting database based on the user behavior Between corresponding relationship in, obtain at least one smart machine mark and at least one described smart machine mark corresponding first Number；

Corresponding first number is identified based at least one described smart machine, determines at least one smart machine mark Probability；

3. method according to claim 2, which is characterized in that described based on the general of at least one described smart machine mark Rate determines Intelligent target device identification, comprising:

Based on the probability of at least one described smart machine mark, judge to whether there is at least one smart machine mark The smart machine that probability is greater than or equal to probability threshold value identifies；

When the smart machine that existing probability is greater than or equal to the probability threshold value at least one described smart machine mark identifies When, from least one described smart machine mark, the maximum smart machine mark of select probability；

4. method according to claim 2, which is characterized in that described corresponding based at least one smart machine mark First number determines the probability of at least one smart machine mark, comprising:

Determine that each of at least one smart machine mark smart machine identifies corresponding first several accumulated value, Obtain the first total degree；

For any smart machine mark at least one described smart machine mark, the smart machine is identified corresponding First number obtains the probability of the smart machine mark divided by first total degree.

5. the method as described in claim 1, which is characterized in that it is described to be based on the period, from the second presetting database, Obtain Intelligent target device identification, comprising:

Based on the period, the period for including from second presetting database, smart machine mark with second time it is several it Between corresponding relationship in, obtain at least one smart machine mark and at least one described smart machine mark corresponding second Number；

Corresponding second number is identified based at least one described smart machine, determines at least one smart machine mark Probability；

6. method as claimed in claim 5, which is characterized in that described corresponding based at least one smart machine mark Second number determines the probability of at least one smart machine mark, comprising:

Determine that each of at least one smart machine mark smart machine identifies corresponding second several accumulated value, Obtain the second total degree；

For any smart machine mark at least one described smart machine mark, the smart machine is identified corresponding Second number obtains the probability of the smart machine mark divided by second total degree.

7. the method as described in claim 1, which is characterized in that it is described to be based on the Intelligent target device identification, described in acquisition The vital sign data corresponding with the Intelligent target device identification of user, comprising:

Corresponding relationship based on the Intelligent target device identification, between the smart machine of storage mark and vital sign attribute In, obtain corresponding vital sign attribute；

Based on the vital sign attribute, the corresponding vital sign of the user is detected, obtain the user with institute State the corresponding vital sign data of Intelligent target device identification.

8. the method as described in claim 1, which is characterized in that described to be based on the Intelligent target device identification and the life Sign data controls the Intelligent target equipment, comprising:

Based on the Intelligent target device identification, the vital sign data is sent to server, is based on the server The vital sign data controls the Intelligent target equipment；

Alternatively,

Based on the Intelligent target device identification, the vital sign data is sent to the Intelligent target by server and is set It is standby, so that the Intelligent target equipment is based on the vital sign data and the Intelligent target equipment is controlled.

9. a kind of control device of smart machine, which is characterized in that described device includes:

Determining module, for detecting the user behavior of current time；Based on the user behavior, from the first presetting database, Obtain Intelligent target device identification；Alternatively, determining the period where current time, and it is based on the period, it is pre- from second If in database, obtain Intelligent target device identification, first presetting database include user behavior, smart machine mark with Corresponding relationship between first number, second presetting database include the period, smart machine mark with second time it is several it Between corresponding relationship, the Intelligent target device identification is the mark of smart machine that user is being currently used；

Module is obtained, it is obtaining the user with the Intelligent target equipment mark for being based on the Intelligent target device identification Know corresponding vital sign data；

Control module sets the Intelligent target for being based on the Intelligent target device identification and the vital sign data It is standby to be controlled.

10. device as claimed in claim 9, which is characterized in that the determining module includes:

First obtains subelement, includes user behavior, intelligence from first presetting database for being based on the user behavior In corresponding relationship between device identification and first number, at least one smart machine mark and at least one described intelligence are obtained Corresponding first number of device identification；

First determines subelement, for identifying corresponding first number based at least one described smart machine, determine it is described extremely The probability of few smart machine mark；

Second determines that subelement, the probability for identifying based at least one described smart machine determine Intelligent target equipment mark Know.

11. device as claimed in claim 10, which is characterized in that

Described second determines that subelement is specifically used for:

12. device as claimed in claim 10, which is characterized in that

Described first determines that subelement is specifically used for:

13. device as claimed in claim 9, which is characterized in that the determining module includes:

Second obtains subelement, and for being based on the period, the period for including from second presetting database, intelligence are set In corresponding relationship between standby mark and second number, obtains at least one smart machine mark and at least one described intelligence is set It is standby to identify corresponding second number；

Third determines subelement, for identifying corresponding second number based at least one described smart machine, determine it is described extremely The probability of few smart machine mark；

4th determines that subelement, the probability for identifying based at least one described smart machine determine Intelligent target equipment mark Know.

14. device as claimed in claim 13, which is characterized in that

The third determines that subelement is specifically used for:

15. device as claimed in claim 9, which is characterized in that the acquisition module includes:

Third acquiring unit, for being based on the Intelligent target device identification, from the smart machine of storage mark and vital sign In corresponding relationship between attribute, corresponding vital sign attribute is obtained；

Second detection unit is based on the vital sign attribute, detects to the corresponding vital sign of the user, obtain institute State the vital sign data corresponding with the Intelligent target device identification of user.

16. device as claimed in claim 9, which is characterized in that the control module includes:

First transmission unit, for based on the Intelligent target device identification, the vital sign data to be sent to server, Make the server be based on the vital sign data to control the Intelligent target equipment；

Alternatively,

Second transmission unit is sent out the vital sign data by server for being based on the Intelligent target device identification The Intelligent target equipment is given, the Intelligent target equipment is made to be based on the vital sign data to the Intelligent target equipment It is controlled.

17. a kind of control device of smart machine, which is characterized in that described device includes:

Processor；

Memory for storage processor executable instruction；

Wherein, the processor is configured to: