CN109507893B - Self-learning alarm control method for intelligent household equipment - Google Patents
Self-learning alarm control method for intelligent household equipment Download PDFInfo
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- CN109507893B CN109507893B CN201710827625.9A CN201710827625A CN109507893B CN 109507893 B CN109507893 B CN 109507893B CN 201710827625 A CN201710827625 A CN 201710827625A CN 109507893 B CN109507893 B CN 109507893B
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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]
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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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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
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- Circuit Arrangement For Electric Light Sources In General (AREA)
Abstract
The invention relates to a self-learning alarm control method of intelligent household equipment, which is used for the intelligent household equipment at least provided with a lighting lamp and is characterized in that: the method comprises the steps that the intelligent household equipment records equipment use data generated in the use process within a preset period of time, and an equipment use database is formed; wherein the device usage data includes: operating data and operating time corresponding to the operating data; alarm data, and operation data causing generation of the alarm data; misoperation data which can cause the intelligent household equipment to work abnormally are formed, and then an equipment use database is formed; and then the intelligent household equipment performs time dimension learning, operation dimension learning and alarm dimension learning according to the equipment use database, and finally, the intelligent household equipment performs self-control according to a self-learning result. Compared with the prior art, the intelligent home equipment has the advantages that faults caused by misoperation can be reduced, the power consumption of the intelligent home equipment is reduced, the practical service life of the intelligent home equipment is prolonged, and redundant operation steps are avoided.
Description
Technical Field
The invention relates to a self-learning alarm control method of intelligent household equipment.
Background
At present, the operation of the household equipment is artificially controlled, the household equipment is provided with corresponding function button control, such as an 'on/off' button, an 'on/off lamp' button and other function execution buttons, when a user operates the buttons, the current state of the household equipment can be controlled, and the household equipment cannot know whether the current operation of the user can cause faults or influence on the household equipment. For example, when a certain household device (such as a range hood) is used in the evening, a user turns on an illuminating lamp, and does not operate a lamp turning-off button subsequently, and after the user falls asleep at night, the illuminating lamp is still in an on state, so that the illuminating lamp is turned on all night, the user is troubled, and potential safety hazards exist.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a self-learning alarm control method of intelligent household equipment aiming at the prior art, which can carry out self-learning according to self use data of the intelligent household equipment, thereby controlling the intelligent household equipment according to a learning result so as to reduce the faults of the intelligent household equipment.
The technical scheme adopted by the invention for solving the technical problems is as follows: a self-learning alarm control method of intelligent household equipment is used for the intelligent household equipment at least provided with a lighting lamp, and is characterized in that: the method comprises the steps that the intelligent household equipment records equipment use data generated in the use process within a preset period of time, and an equipment use database is formed; wherein the device usage data includes: operating data and operating time corresponding to the operating data; alarm data, and operation data causing generation of the alarm data; misoperation data which can cause the intelligent household equipment to work abnormally are formed, and then an equipment use database is formed;
then the intelligent household equipment carries out self-learning in the following mode according to the equipment use database:
and (3) learning in a time dimension: generating a habit starting time period and a habit shutdown time period of the intelligent household equipment according to operation data in the equipment use database and operation time of the operation data, and simultaneously generating a habit opening time period and a habit closing time period of an illuminating lamp of the intelligent household equipment;
operation dimension learning: according to the alarm data in the equipment use database, the operation data of the alarm data is generated, when the alarm data generated by a certain operation exceeds the preset times, the operation is classified as dangerous operation "
And (3) warning dimension learning: the misoperation data in the equipment use database is also listed as dangerous operation;
finally, the intelligent household equipment performs self-control as follows according to the self-learning result:
the intelligent home equipment sends an active prompt of 'whether to start up' in a habit starting time period, if the user gives 'start up confirmation', the intelligent home equipment is started up, and if the user does not give 'start up confirmation', the intelligent home equipment is kept to be shut down;
the intelligent home equipment sends an active prompt of 'whether to shut down' in a habit shutdown time period, if the user gives 'confirms to shut down', the intelligent home equipment shuts down, and if the user does not give 'confirms to shut down', the intelligent home equipment is shut down after delaying for N seconds;
the intelligent home equipment actively reminds whether to turn on the lamp or not within a habit lamp turning-on time period, if the user gives 'affirmation to turn on the lamp', the intelligent home equipment turns on the illuminating lamp, and if the user does not give 'affirmation to turn on the lamp', the intelligent home equipment keeps the illuminating lamp off;
the intelligent home equipment actively reminds whether to turn off the lamp or not within a habit lamp turning-off time period, if the user gives 'confirmation lamp turning-off', the intelligent home equipment turns off the illuminating lamp, and if the user does not give 'confirmation lamp turning-off', the intelligent home equipment turns off the illuminating lamp after N seconds;
when receiving certain operation data, the intelligent household equipment judges whether the operation data is dangerous operation, if so, the intelligent household equipment does not execute the operation, and gives an alarm message that the operation is dangerous operation and possibly damages the equipment.
The preset period of time is M weeks, and M is 1-6.
And N is 3-5.
Compared with the prior art, the invention has the advantages that: self-learning is carried out through the equipment use data to intelligent household equipment to user operation intelligent household equipment carries out intelligent judgement, carries out automatic control to intelligent household equipment, reduces the trouble that the maloperation leads to, reduces intelligent household equipment's consumption, promotes intelligent household equipment's practical life, avoids redundant operation step, liberates user time.
Detailed Description
The present invention will be described in further detail with reference to examples.
The invention provides a self-learning alarm control method of intelligent household equipment, which is used for the intelligent household equipment at least provided with a lighting lamp, wherein the intelligent household equipment records equipment use data generated in the use process within a preset period of time, such as a week or a month, and forms an equipment use database; wherein the device usage data includes: operating data and operating time corresponding to the operating data; the operation data includes a power-on operation, a power-off operation, a light-on operation, a light-off operation, a function execution operation, and the like; alarm data, and operation data causing generation of the alarm data; misoperation data which can cause the intelligent household equipment to work abnormally are formed, and then an equipment use database is formed;
then the intelligent household equipment carries out self-learning in the following mode according to the equipment use database:
and (3) learning in a time dimension: generating a habit starting time period and a habit shutdown time period of the intelligent household equipment according to operation data in the equipment use database and operation time of the operation data, and simultaneously generating a habit opening time period and a habit closing time period of an illuminating lamp of the intelligent household equipment;
operation dimension learning: according to the alarm data in the equipment use database, the operation data of the alarm data is generated, when the alarm data generated by a certain operation exceeds the preset times, the operation is classified as dangerous operation "
And (3) warning dimension learning: the misoperation data in the equipment use database is also listed as dangerous operation;
finally, the intelligent household equipment performs self-control as follows according to the self-learning result:
the intelligent home equipment sends an active prompt of 'whether to start up' in a habit starting time period, if the user gives 'start up confirmation', the intelligent home equipment is started up, and if the user does not give 'start up confirmation', the intelligent home equipment is kept to be shut down;
the intelligent home equipment sends an active prompt of 'whether to shut down' in a habit shutdown time period, if a user gives 'confirmation to shut down', the intelligent home equipment shuts down, and if the user does not give 'confirmation to shut down', the intelligent home equipment is shut down after delaying for N seconds, wherein N is 3-5;
the intelligent home equipment actively reminds whether to turn on the lamp or not within a habit lamp turning-on time period, if the user gives 'affirmation to turn on the lamp', the intelligent home equipment turns on the illuminating lamp, and if the user does not give 'affirmation to turn on the lamp', the intelligent home equipment keeps the illuminating lamp off;
the intelligent home equipment actively reminds whether to turn off the lamp or not within a habit lamp turning-off time period, if the user gives 'confirmation lamp turning-off', the intelligent home equipment turns off the illuminating lamp, and if the user does not give 'confirmation lamp turning-off', the intelligent home equipment turns off the illuminating lamp after N seconds;
when receiving certain operation data, the intelligent household equipment judges whether the operation data is dangerous operation, if so, the intelligent household equipment does not execute the operation, and gives an alarm message that the operation is dangerous operation and possibly damages the equipment.
The invention records self use data, carries out self-learning, self-calculation, automatic judgment and automatic control by the equipment in the use process, and reduces equipment faults caused by misoperation of the equipment.
Claims (3)
1. A self-learning alarm control method of intelligent household equipment is used for the intelligent household equipment at least provided with a lighting lamp, and is characterized in that: the method comprises the steps that the intelligent household equipment records equipment use data generated in the use process within a preset period of time, and an equipment use database is formed; wherein the device usage data includes: operating data and operating time corresponding to the operating data; alarm data, and operation data causing generation of the alarm data; misoperation data which can cause the intelligent household equipment to work abnormally are formed, and then an equipment use database is formed;
then the intelligent household equipment carries out self-learning in the following mode according to the equipment use database:
and (3) learning in a time dimension: generating a habit starting time period and a habit shutdown time period of the intelligent household equipment according to operation data in the equipment use database and operation time of the operation data, and simultaneously generating a habit opening time period and a habit closing time period of an illuminating lamp of the intelligent household equipment;
operation dimension learning: according to the alarm data in the equipment use database, the operation data of the alarm data is generated, when the alarm data generated by a certain operation exceeds the preset times, the operation is classified as dangerous operation "
And (3) warning dimension learning: the misoperation data in the equipment use database is also listed as dangerous operation;
finally, the intelligent household equipment performs self-control as follows according to the self-learning result:
the intelligent home equipment sends an active prompt of 'whether to start up' in a habit starting time period, if the user gives 'start up confirmation', the intelligent home equipment is started up, and if the user does not give 'start up confirmation', the intelligent home equipment is kept to be shut down;
the intelligent home equipment sends an active prompt of 'whether to shut down' in a habit shutdown time period, if the user gives 'confirms to shut down', the intelligent home equipment shuts down, and if the user does not give 'confirms to shut down', the intelligent home equipment is shut down after delaying for N seconds;
the intelligent home equipment actively reminds whether to turn on the lamp or not within a habit lamp turning-on time period, if the user gives 'affirmation to turn on the lamp', the intelligent home equipment turns on the illuminating lamp, and if the user does not give 'affirmation to turn on the lamp', the intelligent home equipment keeps the illuminating lamp off;
the intelligent home equipment actively reminds whether to turn off the lamp or not within a habit lamp turning-off time period, if the user gives 'confirmation lamp turning-off', the intelligent home equipment turns off the illuminating lamp, and if the user does not give 'confirmation lamp turning-off', the intelligent home equipment turns off the illuminating lamp after N seconds;
when receiving certain operation data, the intelligent household equipment judges whether the operation data is dangerous operation, if so, the intelligent household equipment does not execute the operation, and gives an alarm message that the operation is dangerous operation and possibly damages the equipment.
2. The self-learning alarm control method of the intelligent household equipment according to claim 1, characterized in that: the preset period of time is M weeks, and M is 1-6.
3. The self-learning alarm control method of the intelligent household equipment according to claim 1, characterized in that: and N is 3-5.
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| CN201710827625.9A CN109507893B (en) | 2017-09-14 | 2017-09-14 | Self-learning alarm control method for intelligent household equipment |
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Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112398722A (en) * | 2019-08-19 | 2021-02-23 | 青岛海尔智慧厨房电器有限公司 | Control method of range hood |
| CN110822516B (en) * | 2019-11-14 | 2021-12-03 | 华帝股份有限公司 | Control method capable of automatically adjusting air quantity gear starting sequence and range hood |
| CN117315898A (en) * | 2023-08-15 | 2023-12-29 | 广州视声智能科技有限公司 | Intelligent home security alarm method and system based on user historical behavior habit |
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