CN104156752A - Method for identifying user and establishing adaptive usage habit model based on biological features - Google Patents
Method for identifying user and establishing adaptive usage habit model based on biological features Download PDFInfo
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- CN104156752A CN104156752A CN201410297544.9A CN201410297544A CN104156752A CN 104156752 A CN104156752 A CN 104156752A CN 201410297544 A CN201410297544 A CN 201410297544A CN 104156752 A CN104156752 A CN 104156752A
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Abstract
The invention discloses a method for identifying a user and establishing an adaptive usage habit model based on biological features. The method comprises that a human body feature identification module collects and processes information of human body features; a master control module receives the information of human body features and records operational information; a communication module sends the information of human body features and the operational information to a cloud; the cloud establishes a human body feature database and an operational mode; and the communication module feeds back the operational mode to the master control module. By means of the abovementioned steps, the method for identifying the user and establishing the adaptive usage habit model based on biological features can effectively improve usage experience of the user and improves the energy utilization rate.
Description
Technical field
The present invention relates to intelligent electric appliance technical field, relate in particular to based on biological characteristic and distinguish user and set up self-adaptation use habit model method.
Background technology
Existing electric equipment generally is popular equipment, do not have the living creature characteristic recognition system of human body, even some equipment with, also be only using this recognition system as the identity authentication of differentiating electrical equipment user, with client, do not make the record of electrical appliance habit, the arithmetic capability that more there is no self, so bring great raising can not to user's experience itself.Along with social development and scientific and technological progress, the autoscopia that people use equipment is more and more valued, and existing equipment has been difficult to be satisfied with people's request for utilization.
Summary of the invention
The object of the invention is to provide a kind of for the deficiencies in the prior art and distinguish user and set up self-adaptation use habit model method based on biological characteristic, should distinguish user and set up the utilization factor that self-adaptation use habit model method can effectively improve user's experience and improve the energy based on biological characteristic.
For achieving the above object, the present invention is achieved through the following technical solutions.
Based on biological characteristic, distinguish user and set up self-adaptation use habit model method, include following steps, be specially:
A, electric equipment are automatically gathered characteristics of human body's information of user and gathered characteristics of human body's information are processed by characteristics of human body's identification module;
The main control module of b, electric equipment receives the characteristics of human body's information after processing via characteristics of human body's identification module, simultaneously, the main control module of electric equipment records user's operation information, and operation information comprises temporal information, external environment information and use information;
The main control module of c, electric equipment is sent to by above-mentioned characteristics of human body's information and operation information the communication module being electrically connected to main control module, and communication module is sent to by above-mentioned characteristics of human body's information and operation information the high in the clouds that supplier's background terminal server forms;
Characteristics of human body's database is processed and set up in d, high in the clouds to received characteristics of human body's information, and high in the clouds is mated received operation information and set up the mode of operation of electric equipment in each time period with corresponding characteristics of human body's database;
E, high in the clouds are sent to the mode of operation information of electric equipment the communication module of electric equipment, and communication module feeds back to received mode of operation information the main control module of electric equipment.
Wherein, described characteristics of human body's information is finger print information, facial information, acoustic information or retinal information.
Wherein, described communication module is wire communication module.
Wherein, described communication module is wireless communication module.
Beneficial effect of the present invention is: of the present inventionly based on biological characteristic, distinguish user and set up self-adaptation use habit model method, it comprises characteristics of human body's identification module acquisition process characteristics of human body information step, main control module recipient body characteristics information and characteristics of human body's database is set up in recording operation information step, communication module sender body characteristics information and operation information to high in the clouds step, high in the clouds and mode of operation step, communication module feed back to main control module step by mode of operation; By above-mentioned steps, design, of the present inventionly based on biological characteristic, distinguish user and set up the utilization factor that self-adaptation use habit model method can effectively improve user's experience and improve the energy.
Accompanying drawing explanation
Utilize accompanying drawing to be further detailed the present invention below, but the embodiment in accompanying drawing does not form any limitation of the invention.
Fig. 1 is workflow diagram of the present invention.
Embodiment
Below in conjunction with concrete embodiment, the present invention will be described.
As shown in Figure 1, the fingerprint recognition intelligent drinking machine of take is below that example comes that the present invention will be described, and wherein, characteristics of human body's identification module of fingerprint recognition intelligence drinking-water gathers user's finger print information, and characteristics of human body's identification module is fingerprint identification module.
In addition, for fingerprint recognition intelligent drinking machine, its main control module comprises the functions such as refrigeration that general drinking equipment has, heating, normal-temperature water, also comprise that the unexistent user of record of general water dispenser uses the function of water dispenser information, such as: the environment temperature in user's fingerprint ID, user's service time, the temperature of water, the external world etc., and also possess the function that sends in real time data to high in the clouds and receive the data of feeding back in high in the clouds.
Below in conjunction with concrete course of action, fingerprint recognition intelligent drinking machine is elaborated, is specially:
A, fingerprint recognition intelligent drinking machine are automatically gathered user's finger print information and gathered finger print information are processed by characteristics of human body's identification module (fingerprint identification module), are about to finger print information synthetic image and carry out binaryzation and thinning processing;
The main control module of b, fingerprint recognition intelligent drinking machine receives the finger print information after processing via fingerprint identification module, simultaneously, the main control module of fingerprint recognition intelligent drinking machine records user's operation information, operation information comprises temporal information, external environment information and use information, wherein, temporal information is user's service time, and external environment information is extraneous environment temperature, and use information is use amount and the temperature that makes water;
The main control module of c, fingerprint recognition intelligent drinking machine is sent to by above-mentioned finger print information and operation information the communication module being electrically connected to main control module, communication module is sent to by above-mentioned characteristics of human body's information and operation information the high in the clouds that supplier's background terminal server forms, wherein, communication module can adopt wireless or wired mode to be connected with high in the clouds communication;
Characteristics of human body's database is processed and set up in d, high in the clouds to received characteristics of human body's information, and high in the clouds is mated received operation information and set up the mode of operation of fingerprint recognition intelligent drinking machine in each time period with corresponding characteristics of human body's database;
E, high in the clouds are sent to the mode of operation information of fingerprint recognition intelligent drinking machine the communication module of fingerprint recognition intelligent drinking machine, and communication module feeds back to received mode of operation information the main control module of fingerprint recognition intelligent drinking machine.
Need further to explain, when high in the clouds receives the data that fingerprint recognition intelligent drinking machine sends, analog computation can the autonomous information of using simulation and algorithm routine to send according to client be carried out in high in the clouds, the cycle of the mode of operation of fingerprint recognition intelligent drinking machine is artificially set (such as setting 24 hours) by cloud server, and the duration of the data that the mode of operation of high in the clouds simulation one-period adopts can not be less than the duration in this cycle itself, as: the number of users of the fingerprint recognition intelligent drinking machine that high in the clouds sends in real time according to fingerprint recognition intelligent drinking machine is how many, the time period that each user uses, the water yield, the information such as water temperature calculate simulate in fingerprint recognition intelligent drinking machine one day when section should be in stopped status, which should be in preheat mode time period, which needs heated condition at the time period, each time period, needed discharge was how many, the information such as water temperature is how many, and these information are integrated into a pattern send on the main control module of fingerprint recognition intelligent drinking machine.
Comprehensive above-mentioned situation is known, by above-mentioned steps, designs, and of the present inventionly based on biological characteristic, distinguishes user and sets up the utilization factor that self-adaptation use habit model method can effectively improve user's experience and improve the energy.
Above content is only preferred embodiment of the present invention, for those of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, and this description should not be construed as limitation of the present invention.
Claims (4)
1. based on biological characteristic, distinguish user and set up self-adaptation use habit model method, it is characterized in that, including following steps, being specially:
A, electric equipment are automatically gathered characteristics of human body's information of user and gathered characteristics of human body's information are processed by characteristics of human body's identification module;
The main control module of b, electric equipment receives the characteristics of human body's information after processing via characteristics of human body's identification module, simultaneously, the main control module of electric equipment records user's operation information, and operation information comprises temporal information, external environment information and use information;
The main control module of c, electric equipment is sent to by above-mentioned characteristics of human body's information and operation information the communication module being electrically connected to main control module, and communication module is sent to by above-mentioned characteristics of human body's information and operation information the high in the clouds that supplier's background terminal server forms;
Characteristics of human body's database is processed and set up in d, high in the clouds to received characteristics of human body's information, and high in the clouds is mated received operation information and set up the mode of operation of electric equipment in each time period with corresponding characteristics of human body's database;
E, high in the clouds are sent to the mode of operation information of electric equipment the communication module of electric equipment, and communication module feeds back to received mode of operation information the main control module of electric equipment.
2. according to claim 1ly based on biological characteristic, distinguish user and set up self-adaptation use habit model method, it is characterized in that: described characteristics of human body's information is finger print information, facial information, acoustic information or retinal information.
3. according to claim 2ly based on biological characteristic, distinguish user and set up self-adaptation use habit model method, it is characterized in that: described communication module is wire communication module.
4. according to claim 2ly based on biological characteristic, distinguish user and set up self-adaptation use habit model method, it is characterized in that: described communication module is wireless communication module.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104482656A (en) * | 2014-11-26 | 2015-04-01 | 东莞宇龙通信科技有限公司 | Smart water heater temperature adjustment method and device and water heater |
| CN105972759A (en) * | 2016-05-23 | 2016-09-28 | 珠海格力电器股份有限公司 | Air conditioner automatic control method, device and system based on biological detection |
| CN106503503A (en) * | 2016-10-20 | 2017-03-15 | 宁波江东大金佰汇信息技术有限公司 | A kind of user behavior encryption method and system based on computer big data |
| CN108196461A (en) * | 2018-02-07 | 2018-06-22 | 宁夏慧百通赢科技有限公司 | Control method, device and the intelligent domestic system of smart home device |
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| CN103616879A (en) * | 2013-12-06 | 2014-03-05 | 青岛金讯网络工程有限公司 | Informationized smart home life control system |
| CN103871141A (en) * | 2014-04-10 | 2014-06-18 | 宫雅卓 | Indoor environment control system based on biological characteristic recognition |
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| CN103369274A (en) * | 2013-06-28 | 2013-10-23 | 青岛歌尔声学科技有限公司 | Intelligent television regulating system and television regulating method thereof |
| CN103616879A (en) * | 2013-12-06 | 2014-03-05 | 青岛金讯网络工程有限公司 | Informationized smart home life control system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104482656A (en) * | 2014-11-26 | 2015-04-01 | 东莞宇龙通信科技有限公司 | Smart water heater temperature adjustment method and device and water heater |
| CN104482656B (en) * | 2014-11-26 | 2017-06-20 | 东莞宇龙通信科技有限公司 | The method of Intelligent adjustment water heater temperature, device and water heater |
| CN105972759A (en) * | 2016-05-23 | 2016-09-28 | 珠海格力电器股份有限公司 | Air conditioner automatic control method, device and system based on biological detection |
| CN106503503A (en) * | 2016-10-20 | 2017-03-15 | 宁波江东大金佰汇信息技术有限公司 | A kind of user behavior encryption method and system based on computer big data |
| CN108196461A (en) * | 2018-02-07 | 2018-06-22 | 宁夏慧百通赢科技有限公司 | Control method, device and the intelligent domestic system of smart home device |
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Application publication date: 20141119 |