CN106154849A - Identify the method and system into place - Google Patents
Identify the method and system into place Download PDFInfo
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- CN106154849A CN106154849A CN201510183564.8A CN201510183564A CN106154849A CN 106154849 A CN106154849 A CN 106154849A CN 201510183564 A CN201510183564 A CN 201510183564A CN 106154849 A CN106154849 A CN 106154849A
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- place
- behavior
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- identify
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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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]
Abstract
The present invention provides a kind of and identifies the method and system into place, make use of at the initial stage coming in and going out place, the mobile terminal that user carries with can perceive the signal power of each wireless network access point in environment and there is obvious, this feature of change of rule, identify into place behavior accurately and in time, provide the user with effective information and miscellaneous function, bring good Consumer's Experience.The present invention includes method step: identifies and often stops place；Arrival for each place sets up one or more access point signals Strength Changes characteristic model with the behavior of leaving；Identify feature of place, preset different functions and service for leaving of different places from arrival behavior；Follow the tracks of the wireless network signal strength change of mobile terminal local environment, mate with the variation model of existing behavior, if coupling, trigger the function preset.Present system includes data acquisition module, MBM, behavior matching module, user interactive module, feedback module.
Description
Technical field
The present invention relates to the method and system of a kind of user behavior recognition, particularly relate to user and come in and go out the identification of behavior in place.
Background technology
Generally people stopped at home one day central most of the time, or in job site.The situations such as the behavior being away from home includes going to work, does shopping, travelling, the behavior leaving office includes having dinner, coming off duty.If our information system can recognize that user is just leaving or arriving, and some information and prompting are provided in time, then can bring good Consumer's Experience, remind during as left and carry rain gear, report the weather of today, work memo information is provided when arriving office ground, sends instructions to intelligent domestic system etc. when getting home.
In prior art, have been able to be identified by GPS, network positions often stop place and according to features such as residence times, distinguish residence and working space, it is also possible to count the common time range leaving and arriving.But, if just pointing out user to carry umbrella when user has been moved off when GPS location data identify, and at this moment user has gone downstairs and has left home a certain distance, and the cost of going home of turning back is the highest, and Consumer's Experience is the best.Equally, if estimating leaving home and getting home the time of user according to the time range of statistics, the most inaccurate.
Currently, mobile terminal has been widely used with wireless network, wireless network access point it is usually present in building, and generally have multiple, relative to GPS, network positions, in shorter displacement, the change of the signal power of these access points that the mobile terminal that user carries with receives is obvious.
Summary of the invention
Based on the problems referred to above, a kind of in time and accurately user of offer that aims at of the present invention leaves and arrives the Activity recognition method and system in a certain place, identification based on user behavior, provides the user with effective information and miscellaneous function, brings good Consumer's Experience.Identification to the behavior of discrepancy takes full advantage of at the initial stage coming in and going out place, and the mobile terminal carried with can perceive the signal power of each wireless network access point in environment and there is obvious, this feature of change of rule.
In order to achieve the above object, the present invention provides a kind of and identifies the method into place, including step:
S0, mobile terminal gathers information, identifies and often stops place, sets up for the signal power variation model of wireless network access point in the behavior of leaving in each place environment corresponding with arrival behavior, and is each behavior preset function and service；
S1, follows the tracks of the wireless network signal strength change of mobile terminal local environment, mates with the variation model of existing behavior, if coupling, triggers function and service that target behavior is preset.
Specifically, access point and change in signal strength information, temporal information during mobile terminal gathers environment, it is preferred that also gathering GPS position information, mobile network positions information and assisted.
Specifically, S0 includes sub-step:
S01, if the some skies of equipment all enter a certain (a bit) access point coverage, and stops long period of time, then can be using this (a bit) access point region as often stopping place；
S02, analyzes before and after some skies rest on this region, and equipment periphery access point signals Strength Changes data extract common trait therein, for reaching and behavior of leaving sets up one or more characteristic model, for Activity recognition；
S03, identifies feature of place, if the time resting on this place is mostly the working time, then this place can be defined as working space；If the time resting on this place is mostly the time of having a rest, then this place residence be can be defined as, according to the feature of place identified, different preset functions and service distributed for leaving of this place with arrival behavior.
Described default function and service comprise the steps that report weather condition, rainy day prompting carry rain gear, sun appliance is carried in fine day prompting, when leaving prompting confirmation lock a door, reach office's reminding schedule information, turn on light in advance when getting home, reservation elevator and send instructions to intelligent domestic system automatically.
May have a plurality of owing to leaving or arriving the route in place from place, thus leave and arrival behavior can to train the signal power variation characteristic model of multiple access point the most corresponding.In characteristic model, the title of access point, access point signals intensity is key message with the relation of time.
Described characteristic model, simply, leaves signal intensity that feature of place is a certain access point from high step-down, reach place the signal intensity that feature is a certain access point from low to high.Further, characteristic model can comprise the signal intensity feature of multiple access point, signal strength values scope, the sequencing of appearance and determine the condition of coupling.Introduce the feature of multiple access point, place can be tackled and periphery access point is cancelled and newly-increased situation, promote the adaptability of system.
Preferably, described method further comprises the steps of:
S2, uses the information that collects of mobile terminal, update often stop place list, each place leave the function services that the access point signals variation characteristic model corresponding with arrival behavior is preset with each behavior.
Because the existence of access point is cancelled, newly-increased situation, thus, characteristic model needs to adjust in time.
Preferably, described method further comprises the steps of:
S3, receives user feedback, adjusts and often stops access point signals variation model, default function services and the system configuration parameter that place list, each behavior in each place are corresponding.
The identification of system of users behavior might not entirely accurate, receiving in the case of user feedback, it is possible to by a relatively large margin promote the degree of accuracy identified.When going to toilet such as user, system identification is for leaving, and triggers function, user feedback he be not leave after, present case or can be stored in model as exception by promoting threshold value, just will not be identified as leaving when next time collects analogue again by system.
It addition, user is further desirable to function and the service triggered after more self-defined Activity recognition, by supporting user setup, promote system capability.
The present invention also provides for a kind of identifying the system into place, including:
Data acquisition module, for gathering the information of mobile terminal, including APN in local environment and signal intensity, and serves data to MBM and behavior matching module；
MBM, for from data collecting module collected to information, identify and often stop place, create the access point signals Strength Changes characteristic model leaving and arriving behavior in each place, and be each behavior preset function and service；
Behavior matching module, for the access point signals Strength Changes data that will currently collect, mates with the access point signals Strength Changes model in existing behavior model, if coupling, then triggers function and service that target behavior is preset；
User interactive module, for being presented to user by the function of triggering and service.
Preferably, described MBM is additionally operable to the information utilizing data collecting module collected to arrive, and updates the function services that place list, the access point signals Strength Changes characteristic model leaving and arriving behavior in each place and each behavior are preset.
Preferably, described in identify the system into place, also include:
Feedback module, is used for receiving user feedback, adjusts and often stops access point signals variation model, default function services and the system configuration parameter that place list, each behavior in each place are corresponding；
Described user interactive module, the feedback being additionally operable to receive user is configured with to system.
Based on technique scheme, the discrepancy place recognition methods of the present invention includes with the advantage of system:
Relative to the judgement changed based on geographical position, including GPS, architecture, network positions, wireless network access point signal intensity has only to user and moves shorter distance, it is possible to identifying into behavior earlier.It addition, when user is not switched on GPS, non-access network, it is impossible to identify the change in geographical position, and the present invention program still can be identified.
With common discrepancy identification system centered by a certain place, identifying that many people come in and go out, for place service difference, the discrepancy identification of the present invention program, centered by individual, identifies the multiple places of individual's discrepancy, for mobile phone users service.
System has study automatically and the ability adjusted, it is not necessary to user configures, easy to use.
The present invention program only need to install software at mobile terminal, it is not necessary to purchase of equipment can provide Intelligent life service, and low-cost and easy-to is promoted.
Accompanying drawing explanation
Fig. 1 shows the method flow diagram of the embodiment of the present invention.
Fig. 2 shows the system block diagram of the embodiment of the present invention.
Fig. 3 shows the example model data of the embodiment of the present invention.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.
As it is shown in figure 1, the discrepancy place recognition methods of the present invention includes step: S0: set up characteristic model；S1: gather data and mate, if mating, Trigger Function and service；S2: use the new data gathered to update characteristic model；S3: adjust characteristic model according to user feedback.These method steps are executed in parallel, do not have clear and definite sequencing, and equipment constantly gathers the information of access point in surrounding enviroment, including APN and signal intensity, if model it has been established that, by step S2 attempt coupling.When data acquisition is to a certain amount of, or after reaching certain condition, set up characteristic model by step S0 or step S2 updates characteristic model.User can also receive system prompt or other time fed back by step S3 and adjust model.
As in figure 2 it is shown, the discrepancy place of the present invention identifies that system includes: data acquisition module 11, MBM 12, behavior matching module 13, user interactive module 14, feedback module 15.These modules are round characteristic model datamation.
As it is shown on figure 3, be the characteristic model data of a example.What system had identified two users often stops place, it is family that feature is identified in one place, and it is office that feature is identified in a place, the most also can also have other place, such as multiple families and multiple office, also can also there is such as body-building shop, other type of place.Two kinds of behaviors are left and are arrived in each place, the most also imply two kinds of behaviors, stay not in this place with in this place.Each behavior has characteristic model and the function preset.
As it is shown on figure 3, the behavior model arriving house is B, when equipment Inspection to AP1 signal intensity from 0 increase to the signal intensity of 50% or AP2 increase to 40% from 0 time, it is believed that user is going home now, triggers the function preset: sending turns on light instructs to intelligent domestic system.Probably, AP1 is oneself Wifi access point of user, and AP2 is the Wifi access point of neighbour's, when one of them is closed when the two access point, is still able to identify this behavior of going home.
As it is shown on figure 3, the behavior characteristics model leaving and arriving office has two groups, it is more likely that, the both sides of this user's office have a lower channel respectively.All can trigger the preset function leaving office when access point environments match MODEL C or Matching Model D of equipment, if the rainy day, prompting band umbrella is gone out, and raining in order to avoid having arrived, squeezing elevator again and going back outside the most just discovery.As a example by model D, the distribution situation of access point is probably such, and AP3 is the access point near user's station, and AP4 is the access point of corridor mouth, and AP5 is the access point at lower first floor road junction, and AP6 is the access point at ground floor road junction.When user walks about in Office Area, the signal of AP3 can weaken, when going corridor mouth to visit the restroom, the signal of AP4 also can strengthen, but this is not the most the trigger condition leaving office, just it is identified as leaving office when the signal intensity of further AP5 increases to the when that the signal intensity of 50% or Ap6 increasing to 40%.And only the signal intensity of AP5 increases to the signal intensity of 50% or Ap6 and increases to 40%, does not has the preposition feature of AP3, AP4 signal weakening, also will not be identified as leaving office, comes to work because this is probably user.
The foregoing is only embodiments of the invention, not in order to limit the present invention, all any amendment, equivalent and improvement etc. made within the spirit and principles in the present invention, should be included within the scope of the present invention.
Claims (10)
1. identify the method into place, including step:
S0, mobile terminal gathers information, identifies and often stops place, sets up the change in signal strength model of wireless network access point in the environment that the behavior of leaving in each place is corresponding with arrival behavior, and is each behavior preset function and service；
S1, follows the tracks of the wireless network signal strength change of mobile terminal local environment, mates with the variation model of existing behavior, if coupling, triggers function and service that target behavior is preset.
The most according to claim 1 identify the method into place, further comprise the steps of:
S2, mobile terminal uses the information that collects, updates and often stops the function services that access point signals variation characteristic model corresponding to place list, each behavior in each place is preset with each behavior.
The most according to claim 1 identify the method into place, further comprise the steps of:
S3, receives user feedback, adjusts and often stops access point signals variation model, default function services and the system configuration parameter that place list, each behavior in each place are corresponding.
The most according to claim 1 identifying the method into place, described step S0 includes sub-step:
S01, identifies and often stops place；
S02, one or more access point signals Strength Changes characteristic model is set up in arrival and the behavior of leaving for each place；
S03, identifies feature of place, presets different functions and service for leaving of different places from arrival behavior.
The most according to claim 1 identifying the method into place, the key message of described characteristic model includes the relation of the title of wireless network access point, access point signals intensity and time.
The most according to claim 5 identify the method into place, the characteristic model of described a certain behavior, comprise the change in signal strength feature of multiple access point.
The most according to claim 1 identifying the method into place, described default function includes with service: report weather condition, rain gear is carried in rainy day prompting, sun appliance is carried in fine day prompting, when leaving prompting confirmation lock a door, reach office's reminding schedule information, turn on light in advance when arriving, reservation elevator and send instructions to intelligent domestic system automatically.
8. identify the system into place, including:
Data acquisition module, for gathering the information of mobile terminal, including APN in local environment and signal intensity, and serves data to MBM and behavior matching module；
MBM, for from data collecting module collected to information, identify and often stop place, create the access point signals Strength Changes characteristic model leaving and arriving behavior in each place, and be each behavior preset function and service；
Behavior matching module, for the access point signals Strength Changes data that will currently collect, mates with the access point signals Strength Changes model in existing behavior model, if coupling, then triggers function and service that target behavior is preset；
User interactive module, for being presented to user by the function of triggering and service.
The most according to claim 8 identify the system into place, described MBM is additionally operable to the information utilizing data collecting module collected to arrive, and updates the function services that place list, the access point signals Strength Changes characteristic model leaving and arriving behavior in each place and each behavior are preset.
The most according to claim 8 identify the system into place, also include:
Feedback module, is used for receiving user feedback, adjusts and often stops access point signals variation model corresponding to place list, each behavior in each place, function services that each behavior is preset and system configuration parameter；
Described user interactive module, the feedback being additionally operable to receive user is configured with to system.
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| CN201510183564.8A CN106154849A (en) | 2015-04-19 | 2015-04-19 | Identify the method and system into place |
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| CN201510183564.8A CN106154849A (en) | 2015-04-19 | 2015-04-19 | Identify the method and system into place |
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| CN106791216A (en) * | 2017-03-29 | 2017-05-31 | 京东方科技集团股份有限公司 | The theft preventing method of mobile terminal, apparatus and system |
| CN106851781A (en) * | 2017-02-23 | 2017-06-13 | 广州市梦享网络技术有限公司 | Intelligent scene recognition methods based on Wi Fi |
| CN108805556A (en) * | 2018-06-04 | 2018-11-13 | 虫极科技（北京）有限公司 | A kind of recognition methods of Self-Service place, terminal and server |
| CN109218987A (en) * | 2018-09-28 | 2019-01-15 | Oppo广东移动通信有限公司 | Information processing method, device, terminal and storage medium |
| CN109275090A (en) * | 2018-09-28 | 2019-01-25 | Oppo广东移动通信有限公司 | Information processing method, device, terminal and storage medium |
| CN110475014A (en) * | 2018-05-11 | 2019-11-19 | 北京三星通信技术研究有限公司 | The recognition methods of user's scene and terminal device |
| CN111491265A (en) * | 2020-03-26 | 2020-08-04 | 微民保险代理有限公司 | Object state pushing method and device |
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| CN106851781A (en) * | 2017-02-23 | 2017-06-13 | 广州市梦享网络技术有限公司 | Intelligent scene recognition methods based on Wi Fi |
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| CN111491265A (en) * | 2020-03-26 | 2020-08-04 | 微民保险代理有限公司 | Object state pushing method and device |
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