CN105259768A - Intelligent equipment control method and device - Google Patents
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- CN105259768A CN105259768A CN201510697897.2A CN201510697897A CN105259768A CN 105259768 A CN105259768 A CN 105259768A CN 201510697897 A CN201510697897 A CN 201510697897A CN 105259768 A CN105259768 A CN 105259768A
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- 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
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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
- 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] or computer integrated manufacturing [CIM]
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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
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- 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]
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Abstract
The invention discloses an intelligent equipment control method and a device, and belongs to the technical field of terminals. The method comprises the steps of acquiring the current environment parameters of an environment where a living body is located, judging whether the current environment parameters match the physiological activity data of the living body, and controlling intelligent equipment affecting the current environment parameters to make the environment parameters after adjustment match the physiological activity data if the current environment parameters mismatch the physiological activity data. The current environment parameters can be acquired automatically, and the intelligent equipment can be controlled adaptively based on the relation between the physiological activity data of the living body and the current environment parameters to make environment parameters after adjustment match the physiological activity data without the need for manual adjustment by users. Therefore, the intelligent equipment control method is intelligent and simple in operation.
Description
Technical field
The disclosure relates to field of terminal technology, particularly relates to a kind of smart machine control method and device.
Background technology
Along with the development of Internet technology, household electrical appliance are more and more intelligent, and the intelligent appliance of variety classes and function is widely used.User can according to the demand of oneself by realizing to this intelligent appliance control with the opertaing device of a certain intelligent appliance adaptation.
In correlation technique, user, according to self perception to indoor environment, judges whether current indoor environment meets the demand of oneself.If current indoor environment does not meet the demand of oneself, then manually corresponding smart machine is controlled by opertaing device.Such as, when user awareness is higher to current indoor temperature, by opertaing device, intelligent air condition is performed to the operation reducing temperature; When user thinks that indoor light is too bright, by corresponding opertaing device, intelligent lamp is performed to the operation reducing brightness.
Summary of the invention
For overcoming Problems existing in correlation technique, the disclosure provides a kind of smart machine control method and device, and described technical scheme is as follows:
According to the first aspect of disclosure embodiment, a kind of smart machine control method is provided, comprises:
Obtain the current environment parameter of life entity place environment;
Judge whether described current environment parameter mates with the physiological activity data of described life entity, described physiological activity data characterization is suitable for the environmental baseline of the current growth phase of described life entity or the sign situation of described life entity;
If described current environment parameter is not mated with described physiological activity data, then the smart machine of the described current environment parameter of impact is controlled, make the environmental parameter after regulating and described physiological activity Data Matching.
Alternatively, when described physiological activity data are the sign data of described life entity, describedly judge whether described current environment parameter mates with the physiological activity data of described life entity, comprising:
By connecting and being worn on the sign data sensor on described life entity, obtain the sign data of described life entity;
Determine the theoretical environmental parameter of mating with described sign data;
Judge that whether described current environment parameter is consistent with described theoretical environmental parameter;
If described current environment parameter is consistent with described theoretical environmental parameter, then determine the physiological activity Data Matching of described current environment parameter and described life entity.
Alternatively, when described physiological activity data are the life habit data of described life entity, describedly judge whether described current environment parameter mates with the physiological activity data of described life entity, comprising:
Judge that whether the first temperature of described life entity place environment is equal with the second temperature in described life habit data; If the first temperature and the second temperature unequal, then determine that described environmental parameter is not mated with described physiological activity data; Or,
Judge that whether the first humidity of described life entity place environment is equal with the second humidity in described life habit data; If the first humidity and the second humidity unequal, then determine that described environmental parameter is not mated with described physiological activity data.
Alternatively, when described physiological activity data are the life habit data of described life entity, describedly judge whether described current environment parameter mates with the physiological activity data of described life entity, comprising:
Judge whether the first brightness of described life entity place environment is arranged in the given luminance interval of described life habit data; If the first brightness is positioned at described given luminance interval, then determine that described environmental parameter is not mated with described physiological activity data; Or,
Judge whether the first air pollution index of described life entity place environment is less than the second air pollution index in described life habit data; If the first air pollution index is not less than the second air pollution index, then confirm that described environmental parameter is not mated with described physiological activity data.
Alternatively, the described smart machine on the described current environment parameter of impact controls, and comprising:
According to described physiological activity data, by the control interface arranged for described smart machine, the operational factor of described smart machine is regulated.
According to the second aspect of disclosure embodiment, a kind of smart machine control device is provided, comprises:
Acquisition module, for obtaining the current environment parameter of life entity place environment;
Judge module, for judging whether described current environment parameter mates with the physiological activity data of described life entity, described physiological activity data characterization is suitable for the environmental baseline of the current growth phase of described life entity or the sign situation of described life entity;
Control module, for when described current environment parameter is not mated with described physiological activity data, controls the smart machine of the described current environment parameter of impact, makes the environmental parameter after regulating and described physiological activity Data Matching.
Alternatively, when described physiological activity data are the sign data of described life entity, described judge module, for by connecting and being worn on the sign data sensor on described life entity, obtains the sign data of described life entity; Determine the theoretical environmental parameter of mating with described sign data; Judge that whether described current environment parameter is consistent with described theoretical environmental parameter; When described current environment parameter is consistent with described theoretical environmental parameter, determine the physiological activity Data Matching of described current environment parameter and described life entity.
Alternatively, when described physiological activity data are the life habit data of described life entity, whether described judge module is equal with the second temperature in described life habit data for judging the first temperature of described life entity place environment; When the first temperature and the second temperature unequal time, determine that described environmental parameter is not mated with described physiological activity data; Or, judge that whether the first humidity of described life entity place environment is equal with the second humidity in described life habit data; When the first humidity and the second humidity unequal time, determine that described environmental parameter is not mated with described physiological activity data.
Alternatively, when described physiological activity data are the life habit data of described life entity, described judge module, also for judging whether the first brightness of described life entity place environment is arranged in the given luminance interval of described life habit data; When the first brightness is positioned at described given luminance interval, determine that described environmental parameter is not mated with described physiological activity data; Or, judge whether the first air pollution index of described life entity place environment is less than the second air pollution index in described life habit data; When the first air pollution index is not less than the second air pollution index, confirm that described environmental parameter is not mated with described physiological activity data.
Alternatively, described control module, for according to described physiological activity data, by the control interface arranged for described smart machine, regulates the operational factor of described smart machine.
According to the third aspect of disclosure embodiment, a kind of smart machine control device is provided, comprises:
Processor;
For the executable instruction of storage of processor;
Wherein, described processor is configured to: the current environment parameter obtaining life entity place environment; Judge whether described current environment parameter mates with the physiological activity data of described life entity, described physiological activity data characterization is suitable for the environmental baseline of the current growth phase of described life entity or the sign situation of described life entity; If described current environment parameter is not mated with described physiological activity data, then the smart machine of the described current environment parameter of impact is controlled, make the environmental parameter after regulating and described physiological activity Data Matching.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:
After the current environment parameter getting life entity place environment, if judge, current environment parameter is not mated with the physiological activity data of this life entity, then the smart machine affecting current environment parameter is controlled, make the environmental parameter after regulating and this physiological activity Data Matching.Due to can automatic acquisition current environment parameter, and based on the relation between the physiological activity data of life entity and current environment parameter, adaptively smart machine is controlled, make the environmental parameter after regulating and physiological activity Data Matching, and without the need to user's manual adjustments, therefore this kind of smart machine control method comparatively intelligence and simple operating steps.
Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in instructions and to form the part of this instructions, shows and meets embodiment of the present disclosure, and is used from instructions one and explains principle of the present disclosure.
Fig. 1 is the Organization Chart of a kind of Control System of Intelligent according to an exemplary embodiment.
Fig. 2 is the process flow diagram of a kind of smart machine control method according to an exemplary embodiment.
Fig. 3 is the process flow diagram of a kind of smart machine control method according to an exemplary embodiment.
Fig. 4 is the block diagram of a kind of smart machine control device according to an exemplary embodiment.
The block diagram of a kind of smart machine control device during Fig. 5 according to an exemplary embodiment.
Embodiment
For making object of the present disclosure, technical scheme and advantage clearly, below in conjunction with accompanying drawing, disclosure embodiment is described in further detail.
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the disclosure.On the contrary, they only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present disclosure are consistent.
The Organization Chart of a kind of Control System of Intelligent that Fig. 1 provides for disclosure embodiment.See Fig. 1, comprising: sign data sensor, mobile terminal and smart machine.Wherein, sign data sensor is worn on life entity, for detecting the sign data of life entity, and the sign data of acquisition is sent to mobile terminal.Wherein, sign data characterizes the physical condition of life entity.Mobile terminal, for obtaining current environment parameter and physiological activity data, and after judging that current environment parameter is not mated with physiological activity data, to corresponding smart machine executivecontrol function, environmental parameter is adjusted to and physiological activity Data Matching.Smart machine can comprise the intelligent home devices such as intelligent air condition, Intelligent humidifier, Intelligent air purifier, intelligent lamp, for after the steering order receiving mobile terminal transmission, current operational factor is regulated, makes the environmental parameter after regulating and physiological activity Data Matching.Wherein, life entity can refer to pet of people or family raising etc., and disclosure embodiment does not specifically limit this.Physiological activity data comprise sign data and the life habit data of life entity.Wherein, life habit data characterization is suitable for the environmental baseline of the current growth phase of life entity.
Fig. 2 is the process flow diagram of a kind of smart machine control method according to an exemplary embodiment, as shown in Figure 2, comprises the following steps:
In step 201, the current environment parameter of life entity place environment is obtained.
In step 202., judge whether current environment parameter mates with the physiological activity data of this life entity; If current environment parameter is not mated with the physiological activity data of this life entity, then perform following step 203.
Wherein, physiological activity data characterization is suitable for the environmental baseline of the current growth phase of this life entity or the sign situation of this life entity.
In step 203, if current environment parameter is not mated with the physiological activity data of this life entity, then the smart machine affecting current environment parameter is controlled, make the environmental parameter after regulating and physiological activity Data Matching.
The method that disclosure embodiment provides, after the current environment parameter getting life entity place environment, if judge, current environment parameter is not mated with the physiological activity data of this life entity, then the smart machine affecting current environment parameter is controlled, make the environmental parameter after regulating and this physiological activity Data Matching.Due to can automatic acquisition current environment parameter, and based on the relation between the physiological activity data of life entity and current environment parameter, adaptively smart machine is controlled, make the environmental parameter after regulating and physiological activity Data Matching, and without the need to user's manual adjustments, therefore this kind of smart machine control method comparatively intelligence and simple operating steps.
Alternatively, when physiological activity data are the sign data of this life entity, judge whether current environment parameter mates with the physiological activity data of life entity, comprising:
By connecting and being worn on the sign data sensor on this life entity, obtain the sign data of this life entity;
Determine the theoretical environmental parameter of mating with sign data;
Judge that whether current environment parameter is consistent with theoretical environmental parameter;
If current environment parameter is consistent with theoretical environmental parameter, then determine the physiological activity Data Matching of current environment parameter and life entity.
Alternatively, when physiological activity data are the life habit data of this life entity, judge whether current environment parameter mates with the physiological activity data of this life entity, comprising:
Judge that whether the first temperature of this life entity place environment is equal with the second temperature in life habit data; If the first temperature and the second temperature unequal, then determine that environmental parameter is not mated with physiological activity data; Or,
Judge that whether the first humidity of this life entity place environment is equal with the second humidity in life habit data; If the first humidity and the second humidity unequal, then determine that environmental parameter is not mated with physiological activity data.
Alternatively, when physiological activity data are the life habit data of this life entity, judge whether current environment parameter mates with the physiological activity data of life entity, comprising:
Judge whether the first brightness of this life entity place environment is arranged in the given luminance interval of life habit data; If the first brightness is positioned at given luminance interval, then determine that environmental parameter is not mated with physiological activity data; Or,
Judge whether the first air pollution index of this life entity place environment is less than the second air pollution index in life habit data; If the first air pollution index is not less than the second air pollution index, then confirm that environmental parameter is not mated with physiological activity data.
Alternatively, the smart machine affecting current environment parameter is controlled, comprising:
According to physiological activity data, by the control interface arranged for smart machine, the operational factor of this smart machine is regulated.
Above-mentioned all alternatives, can adopt and combine arbitrarily formation embodiment of the present disclosure, this is no longer going to repeat them.
Fig. 3 is the process flow diagram of a kind of smart machine control method according to an exemplary embodiment, and the interaction agent related to is sign data sensor, mobile terminal and smart machine, as shown in Figure 3, comprises the following steps:
In step 301, the current environment parameter of this life entity place environment of acquisition for mobile terminal.
In the disclosed embodiments, life entity, as the term suggests refer to lived object, can be people, animal etc.Life entity is movable within the specific limits under normal circumstances, and the pet that such as family is raised is general only movable at home.Determine if want whether the environment of current active scope meets the demand of this life entity to environment, then need the current environment parameter first knowing this life entity place environment.Wherein, current environment parameter can comprise the temperature of current environment, humidity, brightness, wind-force size and air pollution index etc.Current environment parameter can adopt dissimilar sensor or corresponding checkout equipment to detect and obtain, and is sent to mobile terminal by sensor or the connection of setting up between checkout equipment and mobile terminal; Also sensor assembly or detection module by being built in mobile terminal detect and obtain; Also by affecting the smart machine of respective environment parameter after connecting with mobile terminal, corresponding environmental parameter can be sent to mobile terminal.Such as, the temperature of the current environment of instruction can be sent to mobile terminal by intelligent air condition; The PM2.5 numerical value of the current environment of instruction can be sent to mobile terminal as the air pollution index of current environment by Intelligent air purifier.About the mode disclosure embodiment obtaining current environment parameter, this is not specifically limited.
In step 302, the physiological activity data of acquisition for mobile terminal life entity.
In the disclosed embodiments, physiological activity data comprise sign data and the life habit data of this life entity.Wherein, sign data comprises the body temperature, sunshine amount, pathologic condition etc. of this life entity, for characterizing the sign situation of this life entity; Life habit data refer to the standard environment parameter of the current growth phase of this life entity, comprise the standard temperature of environment, humidity, brightness, wind-force size and air pollution index etc., for characterizing the environmental baseline being suitable for the current growth phase of this life entity.Such as, for pet mice, they are after birth in 15 days, 15 days ~ 1 month, 1 month ~ 3 months, 3 months ~ 6 months, and half a year is different to the demand of environment with first-class different growth phase, and also namely the life habit data of Different growth phases are all different.
In the disclosed embodiments, for each life entity, be different in the specific requirement of different phase to growing environment of its growth.In order to make the current residing environment of life entity, meeting this life entity in the demand of current growth phase to environment, control realization can be carried out based on the life habit data of this life entity to the smart machine in current environment.Such as, when this life entity is movable within the specific limits, according to the standard environment parameter that the life habit data of this life entity refer to, the environmental parameter of environment residing for life entity is regulated.When obtaining the life habit data of this life entity, the characteristic information such as kind, age, sex of this life entity first can be obtained; According to the characteristic information of this life entity, in the corresponding relation between life entity characteristic information and the life habit data of life entity, obtain the life habit data corresponding with this characteristic information.Wherein, corresponding relation can obtain from network in advance and be stored in the storage medium of mobile terminal, and disclosure embodiment does not specifically limit this.
In some cases, for life entity, only regulate current environment parameter according to life habit data, the demand of life entity to residing environment can't be met.Such as, when the health of this life entity occurs abnormal, the environmental parameter being suitable for this life entity activity is just no longer standard environment parameter.Such as, when life entity has fever symptoms, adapt circumstance temperature is possibly lower than standard ambient temperature; Or when the pathologic condition instruction of life entity should not be dried, adapt circumstance wind-force size is possibly lower than standard air size.Because the health of life entity directly associates with the sign data of this life entity, the adjustment that therefore can realize environmental parameter according to the sign data of this life entity.Under normal circumstances, the sign data of life entity obtains by the sign data sensor be worn on life entity.After sign data sensor and mobile terminal connect, the sign data of this life entity got can be sent to mobile terminal by sign data sensor, so that subsequent movement terminal is after getting this sign data, control smart machine according to this sign data, and then realize the adjustment to environmental parameter.
It should be noted that, for the life habit data of life entity, generally can not great changes will take place in a certain growth phase of life entity.Mobile terminal can regularly upgrade it, also can when the life habit of corresponding growth phase changes, and again obtain according to PUSH message, disclosure embodiment does not specifically limit this.For the sign data of life entity, obtain the sign data cycle sensor that mobile terminal is worn by life entity, such as send a reading command every 1 minute or 2 minutes or 5 points of clockwise sign data sensors, instruction sign data transducer reads a sign data; Also can send sign data to mobile terminal automatically periodically by sign data sensor, disclosure embodiment does not specifically limit this.Acquisition for sign data can start immediately to obtain after sign data sensor and mobile terminal connect, also can when needed, and obtain when mating with environmental parameter in such as following step 303, disclosure embodiment does not specifically limit this.
In step 303, mobile terminal judges whether current environment parameter mates with the physiological activity data of this life entity; If current environment parameter is not mated with the physiological activity data of this life entity, then perform following step 304.
In the disclosed embodiments, after the physiological activity data getting current environment parameter and this life entity, determine if want whether the environment residing for this life entity is suitable for the activity need of this life entity, then need to judge whether current environment parameter mates with the physiological activity data of this life entity.Because the physiological activity data mentioning life entity in step 302 comprise the sign data of this life entity and the life habit data of this life entity, therefore when judging whether current environment parameter mates with physiological activity data, comprise following two kinds of situations:
The first situation, when physiological activity data are the sign data of life entity, judges whether current environment parameter mates with the physiological activity data of life entity, and detailed deterministic process is as follows:
First, the theoretical environmental parameter of mating with sign data is determined according to the sign data obtained.Wherein, theoretical environmental parameter refers to the environmental parameter that the physical condition current with life entity matches.Wherein, theoretical environmental parameter comprises theoretical temperatures, humidity, brightness, wind-force size and air pollution index etc.When the sign data of life entity indicate this life entity should not dry time, corresponding theoretical ambient wind force value should be 0.Afterwards, judge that whether current environment parameter is consistent with theoretical environmental parameter, if current environment parameter is consistent with theoretical environmental parameter, then determine the physiological activity Data Matching of current environment parameter and life entity.Wherein, judge that whether current environment parameter is consistent with theoretical environmental parameter, comprise the following aspects:
First aspect, judges that whether the temperature of current environment is equal with theoretical environment temperature; If equal, then determine that current environment parameter is consistent with theoretical environmental parameter.
Second aspect, judges that whether whether the wind-force size of current environment equal with the wind-force size of theoretical environment; If equal, then determine that current environment parameter is consistent with theoretical environmental parameter.
The third aspect, judges that the brightness of current environment is whether in the scope of theoretical ambient brightness; If the brightness of current environment in the brightness range of theoretical environment, then determines that current environment parameter is consistent with theoretical environmental parameter.
Fourth aspect, judges that whether the humidity of current environment is equal with theoretical ambient humidity; If equal.Then determine that current environment parameter is consistent with theoretical environmental parameter.
The second situation, when physiological activity data are the life habit data of life entity, judges whether current environment parameter mates with the physiological activity data of life entity, comprises the following aspects:
First aspect, judges that whether the first temperature of life entity place environment is equal with the second temperature in life habit data; If the first temperature and the second temperature unequal, then determine that environmental parameter is not mated with physiological activity data.
Second aspect, judges that whether the first humidity of life entity place environment is equal with the second humidity in life habit data; If the first humidity and the second humidity unequal, then determine that environmental parameter is not mated with physiological activity data.
The third aspect, judges whether the first brightness of life entity place environment is arranged in the given luminance interval of life habit data; If the first brightness is positioned at given luminance interval, then determine that environmental parameter is not mated with physiological activity data.
Fourth aspect, judges whether the first air pollution index of life entity place environment is less than the second air pollution index in life habit data; If the first air pollution index is not less than the second air pollution index, then confirm that environmental parameter is not mated with physiological activity data.
It should be noted that, when judging whether current environment parameter mates with the physiological activity data of life entity, may be there is conflict in the standard environment parameter of the theoretical environmental parameter of the sign data instruction of life entity and the life habit data instruction of life entity, such as theoretical environment temperature and standard ambient temperature are not equal.Now, can preferably current environment parameter be mated with theoretical environmental parameter; Also can arrange priority match rule on mobile terminals by user, solve the collision problem that may exist, disclosure embodiment does not specifically limit this.
In step 304, if current environment parameter is not mated with the physiological activity data of this life entity, then the smart machine affecting current environment parameter is controlled, make the environmental parameter after regulating and physiological activity Data Matching.
In the disclosed embodiments, if the physiological activity Data Matching of current environment parameter and this life entity, then illustrate that current environment is suitable for this life entity movable, do not need to regulate the parameter of environment.If current environment parameter is not mated with the physiological activity data of this life entity, then illustrate that current environment is not suitable for this life entity movable.For the unmatched environmental parameter of physiological activity data with this life entity, mobile terminal will according to corresponding physiological activity data, by the control interface that the smart machine for affecting this environmental parameter is arranged, the operational factor of this smart machine is regulated, till the environmental parameter and corresponding physiological activity Data Matching of its impact.Such as, when the theoretical ambient humidity that the humidity of current environment indicates higher than the physiological activity data of this life entity or standard environment humidity, mobile terminal, by the control interface of Intelligent humidifier, performs the operation reducing humidity or stop humidification; Meanwhile, by the control interface of intelligent baker, perform the operation of opening baker or heightening bake out temperature.If the sunshine amount of the sign data instruction of life entity is on the low side, then mobile terminal is by the control interface of intelligent lamp, performs the operation of turning on lamp or heightening brightness.
Be pet for life entity below, with a simple example, the above-mentioned rate-determining steps to smart machine explained.Generally pet at it by movable in the home environment of raising, in order to the activity need making the environmental parameter of home environment can meet pet at any time, can control smart machine according to the physiological activity data of pet by mobile phone and realize.Such as, user can download the life habit data matched with the age of pet, kind in advance, and stores on mobile phone.Or the sign data of pet is obtained by being worn on pet sign data sensor with it.When pet is movable at home, mobile phone Real-time Obtaining current environment parameter, and the sign data of current environment parameter and pet or life habit parameter are mated; When determining that a certain parameter in current environment parameter is not mated with sign data or life habit parameter, the operational factor of corresponding smart machine is regulated, until with sign data or life habit parameter matching till.Such as, when the sign data instruction pet deficiency at sunshine of pet, mobile phone controls the brightness of opening intelligent lamp or heightening intelligent lamp; When the sign data instruction pet body temperature of pet is on the low side, mobile phone controls intelligent air condition and cuts out or reduce wind speed.
The method that disclosure embodiment provides, after the current environment parameter getting life entity place environment, if judge, current environment parameter is not mated with the physiological activity data of this life entity, then the smart machine affecting current environment parameter is controlled, make the environmental parameter after regulating and this physiological activity Data Matching.Due to can automatic acquisition current environment parameter, and based on the relation between the physiological activity data of life entity and current environment parameter, adaptively smart machine is controlled, make the environmental parameter after regulating and physiological activity Data Matching, and without the need to user's manual adjustments, therefore this kind of smart machine control method comparatively intelligence and simple operating steps.
Fig. 4 is the block diagram of a kind of smart machine control device according to an exemplary embodiment.With reference to Fig. 4, this device comprises acquisition module 401, judge module 402 and control module 403.
Wherein, acquisition module 401 is connected with judge module 402, for obtaining the current environment parameter of life entity place environment; Judge module 402 is connected with control module 403, and for judging whether current environment parameter mates with the physiological activity data of this life entity, physiological activity data characterization is suitable for the environmental baseline of the current growth phase of this life entity or the sign situation of this life entity; Control module 403, for when current environment parameter is not mated with physiological activity data, controls the smart machine affecting current environment parameter, makes the environmental parameter after regulating and physiological activity Data Matching.
Alternatively, when physiological activity data are the sign data of this life entity, judge module 402, for by connecting and being worn on the sign data sensor on this life entity, obtains the sign data of this life entity; Determine the theoretical environmental parameter of mating with sign data; Judge that whether current environment parameter is consistent with theoretical environmental parameter; When current environment parameter is consistent with theoretical environmental parameter, determine the physiological activity Data Matching of current environment parameter and this life entity.
Alternatively, when physiological activity data are the life habit data of this life entity, judge module 402, for judging that whether the first temperature of this life entity place environment is equal with the second temperature in life habit data; When the first temperature and the second temperature unequal time, determine that environmental parameter is not mated with physiological activity data; Or, judge that whether the first humidity of this life entity place environment is equal with the second humidity in life habit data; When the first humidity and the second humidity unequal time, determine that environmental parameter is not mated with physiological activity data.
Alternatively, when physiological activity data are the life habit data of this life entity, judge module 402, also for judging whether the first brightness of this life entity place environment is arranged in the given luminance interval of life habit data; When the first brightness is positioned at given luminance interval, determine that environmental parameter is not mated with physiological activity data; Or, judge whether the first air pollution index of this life entity place environment is less than the second air pollution index in life habit data; When the first air pollution index is not less than the second air pollution index, confirm that environmental parameter is not mated with physiological activity data.
Alternatively, control module 403, for according to physiological activity data, by the control interface arranged for smart machine, regulates the operational factor of smart machine.
The device that disclosure embodiment provides, after the current environment parameter getting life entity place environment, if judge, current environment parameter is not mated with the physiological activity data of this life entity, then the smart machine affecting current environment parameter is controlled, make the environmental parameter after regulating and this physiological activity Data Matching.Due to can automatic acquisition current environment parameter, and based on the relation between the physiological activity data of life entity and current environment parameter, adaptively smart machine is controlled, make the environmental parameter after regulating and physiological activity Data Matching, and without the need to user's manual adjustments, therefore this kind of smart machine control method comparatively intelligence and simple operating steps.
About the device in above-described embodiment, wherein the concrete mode of modules executable operations has been described in detail in about the embodiment of the method, will not elaborate explanation herein.
Fig. 5 is the block diagram of a kind of smart machine control device 500 according to an exemplary embodiment.Such as, device 500 can be mobile phone, digital broadcast terminal, messaging devices, game console, tablet device, personal digital assistant etc.
With reference to Fig. 5, device 500 can comprise following one or more assembly: processing components 502, storer 504, power supply module 506, multimedia groupware 504, audio-frequency assembly 510, I/O (I/O) interface 512, sensor module 514, and communications component 516.
The integrated operation of the usual control device 500 of processing components 502, such as with display, call, data communication, camera operation and record operate the operation be associated.Processing components 502 can comprise one or more processor 520 to perform instruction, to complete all or part of step of above-mentioned method.In addition, processing components 502 can comprise one or more module, and what be convenient between processing components 502 and other assemblies is mutual.Such as, processing components 502 can comprise multi-media module, mutual with what facilitate between multimedia groupware 508 and processing components 502.
Storer 504 is configured to store various types of data to be supported in the operation of device 500.The example of these data comprises the instruction of any application program for operating on device 500 or method, contact data, telephone book data, message, picture, video etc.Storer 504 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), ROM (read-only memory) (ROM), magnetic store, flash memory, disk or CD.
The various assemblies that power supply module 506 is device 500 provide electric power.Power supply module 506 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 500 and be associated.
Multimedia groupware 508 is included in the screen providing an output interface between described device 500 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel comprises one or more touch sensor with the gesture on sensing touch, slip and touch panel.Described touch sensor can the border of not only sensing touch or sliding action, but also detects the duration relevant to described touch or slide and pressure.In certain embodiments, multimedia groupware 508 comprises a front-facing camera and/or post-positioned pick-up head.When device 500 is in operator scheme, during as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data.Each front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom ability.
Audio-frequency assembly 510 is configured to export and/or input audio signal.Such as, audio-frequency assembly 510 comprises a microphone (MIC), and when device 500 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The sound signal received can be stored in storer 504 further or be sent via communications component 516.In certain embodiments, audio-frequency assembly 510 also comprises a loudspeaker, for output audio signal.
I/O interface 512 is for providing interface between processing components 502 and peripheral interface module, and above-mentioned peripheral interface module can be keyboard, some striking wheel, button etc.These buttons can include but not limited to: home button, volume button, start button and locking press button.
Sensor module 514 comprises one or more sensor, for providing the state estimation of various aspects for device 500.Such as, sensor module 514 can detect the opening/closing state of device 500, the relative positioning of assembly, such as described assembly is display and the keypad of device 500, the position of all right pick-up unit 500 of sensor module 514 or device 500 1 assemblies changes, the presence or absence that user contacts with device 500, the temperature variation of device 500 orientation or acceleration/deceleration and device 500.Sensor module 514 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor module 514 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor module 514 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 516 is configured to the communication being convenient to wired or wireless mode between device 500 and other equipment.Device 500 can access the wireless network based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communications component 516 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communications component 516 also comprises near-field communication (NFC) module, to promote junction service.Such as, can based on radio-frequency (RF) identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 500 can be realized, for performing above-mentioned smart machine control method by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD) (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the storer 504 of instruction, above-mentioned instruction can perform said method by the processor 520 of device 500.Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is performed by the processor of mobile terminal, make mobile terminal can perform a kind of smart machine control method, described method comprises:
Obtain the current environment parameter of life entity place environment; Judge whether current environment parameter mates with the physiological activity data of this life entity, physiological activity data characterization is suitable for the environmental baseline of the current growth phase of this life entity or the sign situation of this life entity; If current environment parameter is not mated with physiological activity data, then the smart machine affecting current environment parameter is controlled, make the environmental parameter after regulating and physiological activity Data Matching.
Alternatively, when physiological activity data are the sign data of this life entity, judge whether current environment parameter mates with the physiological activity data of life entity, comprising:
By connecting and being worn on the sign data sensor on this life entity, obtain the sign data of this life entity;
Determine the theoretical environmental parameter of mating with sign data;
Judge that whether current environment parameter is consistent with theoretical environmental parameter;
If current environment parameter is consistent with theoretical environmental parameter, then determine the physiological activity Data Matching of current environment parameter and life entity.
Alternatively, when physiological activity data are the life habit data of this life entity, judge whether current environment parameter mates with the physiological activity data of this life entity, comprising:
Judge that whether the first temperature of this life entity place environment is equal with the second temperature in life habit data; If the first temperature and the second temperature unequal, then determine that environmental parameter is not mated with physiological activity data; Or,
Judge that whether the first humidity of this life entity place environment is equal with the second humidity in life habit data; If the first humidity and the second humidity unequal, then determine that environmental parameter is not mated with physiological activity data.
Alternatively, when physiological activity data are the life habit data of this life entity, judge whether current environment parameter mates with the physiological activity data of life entity, comprising:
Judge whether the first brightness of this life entity place environment is arranged in the given luminance interval of life habit data; If the first brightness is positioned at given luminance interval, then determine that environmental parameter is not mated with physiological activity data; Or,
Judge whether the first air pollution index of this life entity place environment is less than the second air pollution index in life habit data; If the first air pollution index is not less than the second air pollution index, then confirm that environmental parameter is not mated with physiological activity data.
Alternatively, the smart machine affecting current environment parameter is controlled, comprising:
According to physiological activity data, by the control interface arranged for smart machine, the operational factor of this smart machine is regulated.
The non-transitory computer-readable recording medium that disclosure embodiment provides, after the current environment parameter getting life entity place environment, if judge, current environment parameter is not mated with the physiological activity data of this life entity, then the smart machine affecting current environment parameter is controlled, make the environmental parameter after regulating and this physiological activity Data Matching.Due to can automatic acquisition current environment parameter, and based on the relation between the physiological activity data of life entity and current environment parameter, adaptively smart machine is controlled, make the environmental parameter after regulating and physiological activity Data Matching, and without the need to user's manual adjustments, therefore this kind of smart machine control method comparatively intelligence and simple operating steps.
Those skilled in the art, at consideration instructions and after putting into practice invention disclosed herein, will easily expect other embodiment of the present disclosure.The application is intended to contain any modification of the present disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present disclosure and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Instructions and embodiment are only regarded as exemplary, and true scope of the present disclosure and spirit are pointed out by claim below.
Should be understood that, the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.The scope of the present disclosure is only limited by appended claim.
Claims (11)
1. a smart machine control method, is characterized in that, described method comprises:
Obtain the current environment parameter of life entity place environment;
Judge whether described current environment parameter mates with the physiological activity data of described life entity, described physiological activity data characterization is suitable for the environmental baseline of the current growth phase of described life entity or the sign situation of described life entity;
If described current environment parameter is not mated with described physiological activity data, then the smart machine of the described current environment parameter of impact is controlled, make the environmental parameter after regulating and described physiological activity Data Matching.
2. method according to claim 1, is characterized in that, when described physiological activity data are the sign data of described life entity, describedly judges whether described current environment parameter mates with the physiological activity data of described life entity, comprising:
By connecting and being worn on the sign data sensor on described life entity, obtain the sign data of described life entity;
Determine the theoretical environmental parameter of mating with described sign data;
Judge that whether described current environment parameter is consistent with described theoretical environmental parameter;
If described current environment parameter is consistent with described theoretical environmental parameter, then determine the physiological activity Data Matching of described current environment parameter and described life entity.
3. method according to claim 1, is characterized in that, when described physiological activity data are the life habit data of described life entity, describedly judges whether described current environment parameter mates with the physiological activity data of described life entity, comprising:
Judge that whether the first temperature of described life entity place environment is equal with the second temperature in described life habit data; If the first temperature and the second temperature unequal, then determine that described environmental parameter is not mated with described physiological activity data; Or,
Judge that whether the first humidity of described life entity place environment is equal with the second humidity in described life habit data; If the first humidity and the second humidity unequal, then determine that described environmental parameter is not mated with described physiological activity data.
4. method according to claim 1, is characterized in that, when described physiological activity data are the life habit data of described life entity, describedly judges whether described current environment parameter mates with the physiological activity data of described life entity, comprising:
Judge whether the first brightness of described life entity place environment is arranged in the given luminance interval of described life habit data; If the first brightness is positioned at described given luminance interval, then determine that described environmental parameter is not mated with described physiological activity data; Or,
Judge whether the first air pollution index of described life entity place environment is less than the second air pollution index in described life habit data; If the first air pollution index is not less than the second air pollution index, then confirm that described environmental parameter is not mated with described physiological activity data.
5. method according to claim 1, is characterized in that, the described smart machine on the described current environment parameter of impact controls, and comprising:
According to described physiological activity data, by the control interface arranged for described smart machine, the operational factor of described smart machine is regulated.
6. a smart machine control device, is characterized in that, described device comprises:
Acquisition module, for obtaining the current environment parameter of life entity place environment;
Judge module, for judging whether described current environment parameter mates with the physiological activity data of described life entity, described physiological activity data characterization is suitable for the environmental baseline of the current growth phase of described life entity or the sign situation of described life entity;
Control module, for when described current environment parameter is not mated with described physiological activity data, controls the smart machine of the described current environment parameter of impact, makes the environmental parameter after regulating and described physiological activity Data Matching.
7. device according to claim 6, it is characterized in that, when described physiological activity data are the sign data of described life entity, described judge module, for by connecting and being worn on the sign data sensor on described life entity, obtain the sign data of described life entity; Determine the theoretical environmental parameter of mating with described sign data; Judge that whether described current environment parameter is consistent with described theoretical environmental parameter; When described current environment parameter is consistent with described theoretical environmental parameter, determine the physiological activity Data Matching of described current environment parameter and described life entity.
8. device according to claim 6, it is characterized in that, when described physiological activity data are the life habit data of described life entity, whether described judge module is equal with the second temperature in described life habit data for judging the first temperature of described life entity place environment; When the first temperature and the second temperature unequal time, determine that described environmental parameter is not mated with described physiological activity data; Or, judge that whether the first humidity of described life entity place environment is equal with the second humidity in described life habit data; When the first humidity and the second humidity unequal time, determine that described environmental parameter is not mated with described physiological activity data.
9. device according to claim 6, it is characterized in that, when described physiological activity data are the life habit data of described life entity, described judge module, also for judging whether the first brightness of described life entity place environment is arranged in the given luminance interval of described life habit data; When the first brightness is positioned at described given luminance interval, determine that described environmental parameter is not mated with described physiological activity data; Or, judge whether the first air pollution index of described life entity place environment is less than the second air pollution index in described life habit data; When the first air pollution index is not less than the second air pollution index, confirm that described environmental parameter is not mated with described physiological activity data.
10. device according to claim 6, is characterized in that, described control module, for according to described physiological activity data, by the control interface arranged for described smart machine, regulates the operational factor of described smart machine.
11. 1 kinds of smart machine control device, is characterized in that, comprising:
Processor;
For the executable instruction of storage of processor;
Wherein, described processor is configured to: the current environment parameter obtaining life entity place environment; Judge whether described current environment parameter mates with the physiological activity data of described life entity, described physiological activity data characterization is suitable for the environmental baseline of the current growth phase of described life entity or the sign situation of described life entity; If described current environment parameter is not mated with described physiological activity data, then the smart machine of the described current environment parameter of impact is controlled, make the environmental parameter after regulating and described physiological activity Data Matching.
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