CN108173722A - A kind of smart home device automatic operation method - Google Patents
A kind of smart home device automatic operation method Download PDFInfo
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- CN108173722A CN108173722A CN201711432006.6A CN201711432006A CN108173722A CN 108173722 A CN108173722 A CN 108173722A CN 201711432006 A CN201711432006 A CN 201711432006A CN 108173722 A CN108173722 A CN 108173722A
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- 230000006399 behavior Effects 0.000 claims description 7
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- 230000001419 dependent effect Effects 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 claims description 2
- 239000006185 dispersion Substances 0.000 claims 2
- 238000007619 statistical method Methods 0.000 abstract description 3
- 238000004590 computer program Methods 0.000 description 7
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- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
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- 230000009849 deactivation Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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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]
- G05B19/4185—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] characterised by the network communication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
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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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Computer Networks & Wireless Communication (AREA)
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- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Manufacturing & Machinery (AREA)
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Abstract
The present invention relates to a kind of smart home device automatic operation method, this method is used for multiple access home servers and allows the equipment of automatic running, including：It initial learning period and uses and feeds back the more new stage；By recording equipment in the service condition of each period and the statistical method of data, it can analyze whether the equipment according to the custom of user needs automatic running, user, which is habitually operated, can realize control.
Description
Technical field
The present invention relates to home control fields, and in particular to a kind of smart home device automatic operation method.
Background technology
The several ways of current Intelligent housing：1st, only change the mode of control, be changed to for example by physical button
The modes such as gesture, voice, but need user's voluntarily deactivation；2nd, judged using camera combination image detection identification technology
Identity, expression or the behavior of user, but this method needs domestic installation camera, is difficult to sentence if not photographed
Disconnected, to data processing, there is also certain requirements；3rd, the rule of intelligent appliance startup is voluntarily configured in user, but still needs user
Voluntarily rule is configured, and the process excessively medelling.It is allowed in conclusion current Intelligent housing can't reach
User really feels Intelligent portable.
Invention content
The present invention provides a kind of smart home device automatic operation method, the purpose is to by recording equipment in each period
Service condition and data statistical method, can analyze the equipment whether according to user custom and need to transport automatically
Row, user, which is habitually operated, can realize control.
The purpose of the present invention is what is realized using following technical proposals：
A kind of smart home device automatic operation method, this method is for multiple access home servers and allows automatic running
Equipment, it is improved in that the method includes：It initial learning period and uses and feeds back the more new stage；
The initial learning period includes：N number of period will be divided into daily, the permission automatic running for each access server is set
Standby ai (1<=i<=M) setting one equipment operation bivariate table Tai, it records in the corresponding learning cycle of the equipment, daily each period j
(1<=j<=N) whether the equipment in operating status, if in operating status, the operation of the period day is recorded in Tai
It is 1 to be worth, and is otherwise 0.Horizontal axis is finally obtained as day, the longitudinal axis runs bivariate table Tai for the equipment of period；
It averages after adding up to the data of each period in the period, the period operation for obtaining period equipment operation is equal
Value, the mean value is between section [0,1]；
The setting threshold value related with running equipment, when the period operation mean value of some period is more than pre-set threshold value, then
In the period of overall device run the period table, the runtime value of the equipment is set as 1, is otherwise 0；
All equipment is learnt in the manner described above, finally obtains overall device run the period table；
In the study stage, the parameter of recording equipment operation, and the selected one or more and associated auxiliary feelings of the device parameter
Border parameter；
It is described use and feed back the more new stage include：
Whether the presence of user is had in detection home-ranges；
When having users in the range of family, according to overall device run the period table, unlatching and pass by period triggering equipment
It closes；
According to detect with one or more auxiliary contextual parameters of the device-dependent or obtained by server with this
One or more auxiliary contextual parameters of device-dependent, the auxiliary contextual parameter of record is matched with the study stage, and searching is
It is no to there is the historical record identical with current auxiliary contextual parameter, if so, then the parameter set is carried out according to historical record
Setting.
Preferably, operating parameter includes：Volume, temperature, humidity, channel and brightness；Auxiliary contextual parameter includes：Time,
Weather, environmental noise, user location and user pay close attention to information.
Further, auxiliary contextual parameter is indicated in the form of discrete values, if parameter is non-discrete value
It is translated into the expression of centrifugal pump form.
Further, by the discrete values of the auxiliary contextual parameter related with running equipment and operating parameter with m+n tuples
Form represent, will with the running equipment it is relevant auxiliary contextual parameter discrete values uniformly be recorded in going through for the running equipment
In history daily record.
Preferably, the presence for whether having user in the detection home-ranges includes：Pass through Intelligent bracelet, mobile phone, sound
Or whether there is the presence of user in image mode detection home-ranges.
Preferably, if not obtaining matched historical record, by current one or more auxiliary contextual parameters with
The auxiliary contextual parameter of study stage record is calculated using mathematical formulae into row distance, obtains the appropriate operating parameter of the equipment.
Further, the distance calculating of parameter includes, and the numerical value of current auxiliary contextual parameter is pressed normal scatter, so
It is calculated afterwards with the auxiliary contextual parameter numerical value in history log into row distance, selects the value of current auxiliary contextual parameter and history day
The tuple of the distance minimum of contextual parameter is assisted in will, and current operating parameter is set as recording in the minimum tuple of distance
Operating parameter；
When the historical record of contextual parameter value is assisted to conflict, the time, posterior record had higher priority；
The operating parameter setting of recommendation is obtained according to current auxiliary contextual parameter from server.
Preferably, the setting update cycle is 1 day, when the update cycle arrives, according to going through for new equipment operation bivariate table
Calculation interval runs mean value to history data again.
Preferably, the user behavior to the adjustment of equipment and number manually are recorded, according to the behavior and number and is made a reservation for
Rule adjustment equipment decision threshold；
Overall device run the period table is updated, and according to update according to the decision threshold after new period operation mean value and adjustment
Overall device run the period table running equipment afterwards.
Beneficial effects of the present invention：
Technical solution provided by the invention, by recording equipment in the service condition of each period and the statistical method of data,
Can analyze the equipment whether according to user custom and need automatic running, user, which is habitually operated, to be realized
Control.
Description of the drawings
Fig. 1 is a kind of flow chart of smart home device automatic operation method of the present invention.
Specific embodiment
It elaborates below in conjunction with the accompanying drawings to the specific embodiment of the present invention.
Purpose, technical scheme and advantage to make the embodiment of the present invention are clearer, below in conjunction with the embodiment of the present invention
In attached drawing, the technical solution in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
The all other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Embodiment 1
The method of a kind of smart home device automatic running provided by the invention, as shown in Figure 1, this method is used for multiple access men
Front yard server and equipment a1, a2 ... the aM for allowing automatic running.This method includes initial learning period, uses and feeds back update rank
Section.
Initial learning period：
N number of period will be divided into daily, be the equipment ai (1 of the permission automatic running of each access server<=i<=M) set one to set
Received shipment row bivariate table Tai, records in the corresponding learning cycle of the equipment, daily each period j (1<=j<=N) whether the equipment locate
In operating status, if in operating status, the period runtime value for recording the period is 1, is otherwise 0.Finally obtain horizontal axis
For day, the longitudinal axis runs bivariate table for the equipment of period.
The data of each period in the period are carried out with cumulative rear divided by period total number of days to average, obtaining the period, this sets
The period operation mean value of received shipment row, the mean value is between section [0,1].
The setting threshold value related with running equipment, when period operation mean value is more than pre-set threshold value, then it is assumed that
The period, the possibility that user needs the equipment in operating status is high, then in the period of overall device run the period table
In, the runtime value of the equipment is set as 1, is otherwise 0.
Assume that equipment is exemplified below with one.
The equipment operation bivariate table Ta1 of Fig. 1, equipment a1, it is assumed that learning cycle is 10 days, and the corresponding threshold value of the equipment is
0.6。
| Period | 1st day | 2nd day | … | 10th day | It amounts to | Period runs mean value |
| 1 | 1 | 1 | 1 | 10 | 1 | |
| 2 | 0 | 1 | 0 | 7 | 0.7 | |
| 3 | 0 | 0 | 0 | 3 | 0.3 | |
| … | … | … | … | … | … | … |
| N | 1 | 1 | 1 | 9 | 0.9 |
Then by the result of above-mentioned example table, it can be seen that the equipment should be opened in 1,2 and N of period, and the period 3 due to
Less than threshold value without automatically turning on, therefore the correspondence period in run the period table adds in device id, and the value of the equipment is set as
1, it is otherwise 0.
All equipment is learnt in the manner described above, finally obtains overall device run the period table.
Example：Overall device run the period table
| Period | Equipment a1 | Equipment a2 | Equipment a3 |
| 1 | 1 | 0 | 0 |
| 2 | 1 | 0 | 0 |
| 3 | 0 | 0 | 1 |
| … | … | ||
| N | 1 | 1 | 0 |
Study the stage, go back recording equipment operation parameter and with the associated auxiliary contextual parameter of the device parameter, operating parameter
Including but not limited to：Volume, temperature, humidity, channel, brightness etc.；Auxiliary contextual parameter includes but not limited to：Time, weather, ring
Border noise, user location, user pay close attention to information etc., these auxiliary contextual parameters are stored in the form of centrifugal pump.It is if initial
It then directly stores for centrifugal pump, if itself is not centrifugal pump, is converted.
Such as：
Current temperature is 34 degrees Celsius, and humidity 70% matches the parameter with the numerical value of the tuple in history library,
It is found in history library<Temperature：27 degree, wind-force：Apoplexy, pattern：Refrigeration, temperature：34 facility degree, humidity：70%>Historical record,
Current operating parameter is then set as temperature：27 degree, wind-force：Apoplexy, pattern：Refrigeration.
If not finding matched record, calculated according to mathematical formulae, such as currently there are 2 parameters, then may be used
Using 2 parameters as coordinate, the historical record of distance minimum and setting under two-dimensional coordinate system are calculated.
If finding 2 identical historical records, date posterior record of being subject to sets operating parameter.
It uses and feeds back the more new stage：
Whether the presence of user is had in server detection home-ranges, it can be a variety of by Intelligent bracelet, mobile phone, sound, image etc.
Mode judges.
It is detected in the range of family when having users, according to overall device run the period table, equipment is triggered by the period
Opening and closing, specifically, when time period value is 1, open equipment, the pass hull closure when time period value is 0, when time period value is from 1
When jumping to 0, pass hull closure when time period value jumps to 1 from 0, opens equipment, remaining situation is constant.
According to the contextual parameter detected or the contextual parameter obtained by server, the situation with study stage record
Parameter is matched or is fitted, and obtains the appropriate operating parameter of the equipment.
It is 1 day to set the update cycle, and when the update cycle arrives, the historical data according to new equipment operation bivariate table is again
Secondary calculating operating status mean value；
User is recorded manually to the adjustment behavior of equipment and number, according to the behavior and number and scheduled rule adjustment equipment
Decision threshold.
Overall device run the period table, and foundation are updated according to the decision threshold after new operating status mean value and adjustment
Updated overall device run the period table running equipment.
It should be understood by those skilled in the art that, embodiments herein can be provided as method, system or computer program
Product.Therefore, the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware can be used in the application
Apply the form of example.Moreover, the computer for wherein including computer usable program code in one or more can be used in the application
Usable storage medium（Including but not limited to magnetic disk storage, CD-ROM, optical memory etc.）The computer program production of upper implementation
The form of product.
The application is with reference to method, the equipment according to the embodiment of the present application（System）And the flow of computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
The processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices is generated for real
The device of function specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps are performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or
The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Finally it should be noted that：The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, to the greatest extent
Pipe is described in detail the present invention with reference to above-described embodiment, those of ordinary skills in the art should understand that：Still
The specific embodiment of the present invention can be modified or replaced equivalently, and without departing from any of spirit and scope of the invention
Modification or equivalent replacement should all cover within the claims of the present invention.
Claims (9)
1. a kind of smart home device automatic operation method, this method is for multiple access home servers and allows automatic running
Equipment, which is characterized in that the method includes：It initial learning period and uses and feeds back the more new stage；
The initial learning period includes：N number of period will be divided into daily, the permission automatic running for each access server is set
Standby ai (1<=i<=M) setting one equipment operation bivariate table Tai, it records in the corresponding learning cycle of the equipment, daily each period j
(1<=j<=N) whether the equipment in operating status, if in operating status, the operation of the period day is recorded in Tai
It is 1 to be worth, and is otherwise 0；Horizontal axis is finally obtained as day, the longitudinal axis runs bivariate table Tai for the equipment of period；
It averages after adding up to the data of each period in the period, the period operation for obtaining period equipment operation is equal
Value, the mean value is between section [0,1]；
The setting threshold value related with running equipment, when the period operation mean value of some period is more than pre-set threshold value, then
In the period of overall device run the period table, the runtime value of the equipment is set as 1, is otherwise 0；
All equipment is learnt in the manner described above, finally obtains overall device run the period table；
In the study stage, the parameter of recording equipment operation, and the selected one or more and associated auxiliary feelings of the device parameter
Border parameter；
It is described use and feed back the more new stage include：
Whether the presence of user is had in detection home-ranges；
When having users in the range of family, according to overall device run the period table, unlatching and pass by period triggering equipment
It closes；
According to detect with one or more auxiliary contextual parameters of the device-dependent or obtained by server with this
One or more auxiliary contextual parameters of device-dependent, the auxiliary contextual parameter of record is matched with the study stage, and searching is
It is no to there is the historical record identical with current auxiliary contextual parameter, if so, then the parameter set is carried out according to historical record
Setting.
2. the method as described in claim 1, which is characterized in that operating parameter includes：Volume, temperature, humidity, channel and bright
Degree；Auxiliary contextual parameter includes：Time, weather, environmental noise, user location and user pay close attention to information.
3. method as claimed in claim 2, which is characterized in that auxiliary contextual parameter is subjected to table in the form of discrete values
Show, being translated into centrifugal pump form if parameter is non-discrete value represents.
4. method as claimed in claim 3, which is characterized in that by the dispersion number of the auxiliary contextual parameter related with running equipment
Value and operating parameter are represented in the form of m+n tuples, by the dispersion number primary system with the relevant auxiliary contextual parameter of the running equipment
One is recorded in the history log of the running equipment.
5. the method as described in claim 1, which is characterized in that it is described detection home-ranges in whether have user there are packets
It includes：Whether detected by Intelligent bracelet, mobile phone, sound or image mode has the presence of user in home-ranges.
6. the method as described in claim 1, which is characterized in that, will be current if not obtaining matched historical record
One or more auxiliary contextual parameter is calculated with learning the auxiliary contextual parameter of stage record using mathematical formulae into row distance, is obtained
The operating parameter appropriate to the equipment.
7. method as claimed in claim 6, which is characterized in that the distance calculating of parameter includes, and current auxiliary situation is joined
Several numerical value presses normal scatter, is then calculated with the auxiliary contextual parameter numerical value in history log into row distance, selection is current
The tuple of the distance minimum of auxiliary contextual parameter in the value and history log of auxiliary contextual parameter, and current operating parameter is set
It is set to the operating parameter recorded in the minimum tuple of distance；
When the historical record of contextual parameter value is assisted to conflict, the time, posterior record had higher priority；
The operating parameter setting of recommendation is obtained according to current auxiliary contextual parameter from server.
8. the method as described in claim 1, which is characterized in that the setting update cycle is 1 day, when the update cycle arrives, according to
According to the historical data calculation interval operation mean value again of new equipment operation bivariate table.
9. the method as described in claim 1, which is characterized in that the user behavior to the adjustment of equipment and number manually are recorded,
According to the behavior and number and the decision threshold of scheduled rule adjustment equipment；
Overall device run the period table is updated, and according to update according to the decision threshold after new period operation mean value and adjustment
Overall device run the period table running equipment afterwards.
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|---|---|---|---|
| CN201711432006.6A CN108173722B (en) | 2017-12-26 | 2017-12-26 | Automatic operation method of intelligent household equipment |
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|---|---|---|---|
| CN201711432006.6A CN108173722B (en) | 2017-12-26 | 2017-12-26 | Automatic operation method of intelligent household equipment |
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| CN108173722B CN108173722B (en) | 2020-12-25 |
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| CN113900383A (en) * | 2021-10-08 | 2022-01-07 | 中移（杭州）信息技术有限公司 | Intelligent household equipment control method, router, intelligent household system and medium |
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| CN111368157A (en) * | 2020-03-10 | 2020-07-03 | 长虹美菱股份有限公司 | Refrigerator operation method based on user behavior analysis |
| CN111368157B (en) * | 2020-03-10 | 2022-08-23 | 长虹美菱股份有限公司 | Refrigerator operation method based on user behavior analysis |
| CN113900383A (en) * | 2021-10-08 | 2022-01-07 | 中移（杭州）信息技术有限公司 | Intelligent household equipment control method, router, intelligent household system and medium |
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