CN114706315A - Intelligent device control system, method and storage medium - Google Patents
Intelligent device control system, method and storage medium Download PDFInfo
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- CN114706315A CN114706315A CN202210343758.XA CN202210343758A CN114706315A CN 114706315 A CN114706315 A CN 114706315A CN 202210343758 A CN202210343758 A CN 202210343758A CN 114706315 A CN114706315 A CN 114706315A
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000005457 optimization Methods 0.000 claims description 8
- 230000007123 defense Effects 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000004590 computer program Methods 0.000 claims description 3
- 230000002354 daily effect Effects 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- 238000004378 air conditioning Methods 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 4
- 230000036541 health Effects 0.000 description 4
- 238000010438 heat treatment Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000003203 everyday effect Effects 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 238000010408 sweeping Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
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- 230000000694 effects Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
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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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Abstract
The invention relates to the technical field of intelligent home furnishing, and discloses an intelligent device control method, which comprises the following steps: a condition presetting step: receiving a preset condition of an intelligent device control instruction; an instruction identification step: receiving and identifying instruction information; a condition judgment step: judging whether the received instruction information meets a preset condition, and outputting the instruction information; an instruction sending step: and outputting a control instruction to the intelligent equipment according to the instruction information. The system and the method can identify and judge the control instruction of the intelligent equipment, and prevent misoperation or malicious control on the control of the intelligent equipment.
Description
Technical Field
The invention relates to the technical field of intelligent home furnishing, in particular to an intelligent device control system, an intelligent device control method and a storage medium.
Background
With the rapid development of society, the economic living standard of people is gradually improved, and smart homes gradually enter the lives of people.
The intelligent home is characterized in that a house is used as a platform, and all intelligent devices are integrated by utilizing advanced computer technology, network communication technology, comprehensive wiring technology, safety precaution technology, automatic control technology and audio and video technology to construct an efficient management system for house facilities and family schedule affairs, so that the home life of people is more comfortable, safe and efficient. Each intelligent device has a function of communicating with the remote control device, and the functions of starting, closing and the like of each intelligent device are realized through the control of the remote control device.
However, the smart home devices bring convenience to the life of the user and also bring misoperation, for example, when the user is at rest, some people improve the application program or other ways, and light is turned on remotely to influence the rest of the user. When the control account information of the intelligent device of the user is leaked, the intelligent device at home may be maliciously controlled by others, which brings poor experience and even causes privacy or security problems.
Disclosure of Invention
The invention aims to provide an intelligent device control method which can identify and judge a control instruction of an intelligent device and prevent misoperation or malicious control on the control of the intelligent device.
The technical scheme provided by the invention is as follows: the intelligent device control method comprises the following steps: a condition presetting step: receiving a preset condition of an intelligent device control instruction; an instruction identification step: receiving and identifying instruction information; a condition judgment step: judging whether the received instruction information meets a preset condition, and outputting the instruction information; an instruction sending step: and outputting a control instruction to the intelligent equipment according to the instruction information.
The working principle and the advantages of the invention are as follows: the system receives the conditions preset by the user, identifies the instructions sent to the equipment, judges whether the instruction information meets the preset conditions or not, outputs the instruction information meeting the conditions and plays a role in controlling the intelligent equipment. According to the method, the control instructions of the intelligent equipment are screened according to the setting of the user intention, so that the intelligent household equipment is prevented from being controlled by some misoperation instructions and malicious control instructions, and the overall use experience of the intelligent household equipment is improved.
Further, the preset conditions include a limiting condition and an executing condition, and the condition determining step is as follows: if the received instruction information is judged to accord with the limited condition, outputting corresponding instruction information; and if the scene state is judged to accord with the execution condition, outputting corresponding instruction information.
The preset conditions comprise limiting conditions and execution conditions, the limiting conditions are used for screening and limiting artificially-sent control instructions, and the instructions meeting the limiting conditions can enter the next sending step; the execution condition is used for automatically sending a corresponding control instruction when the scene state meets the preset condition, so that the equipment can be set in a reserved mode, and the step of manual operation is omitted.
Further, the limiting conditions comprise one or more of local terminal limitation, trigger source limitation, region limitation, time limitation and equipment limitation; the execution condition includes one or more of a control device, a control manner, and an execution time.
The local terminal definition means that the intelligent device can be controlled only through a locally connected terminal or only through a non-locally connected terminal, and two modes of local control only and remote control only are provided; the trigger source limitation refers to that the intelligent equipment can be controlled only through a specified trigger source, such as an application program end or a webpage end, and a user sets that only a control instruction from the application program end is processed; the region limitation means that the intelligent equipment can be controlled only by the instruction sent by the specified region; the time limitation means that the intelligent equipment can be controlled only by an instruction sent in a specified time; the device definition means that only the designated device can be controlled, that is, only the control instruction of the device selected by the user is processed. The users can freely combine the execution conditions to realize the operation of multi-element control.
The control equipment refers to intelligent equipment needing to send control instructions; the control mode refers to a specific control mode of the intelligent equipment to be controlled, such as the brightness for adjusting light, the temperature for adjusting an air conditioner and the like; the execution time refers to the time when the system sends the control command. The users with the above limited conditions can freely combine to realize the operation of multi-element control.
Further, the execution condition further includes a device state and an execution number, and further includes a state identification step: the operating state of the device is identified.
The device status refers to a device operation status, for example, if it is recognized that the device is in a shutdown status, the device status may be a condition for sending the control command. The execution times refer to the sending times of the same control command, for example, the execution is stopped after a certain command is sent three times.
Further, the condition judging step further comprises the steps of simultaneously receiving multiple conflicting instruction information, judging the rationality of each instruction, and outputting reasonable instruction information.
And when the user does not set clear limiting conditions but receives a plurality of conflicting control commands at the same time, the system judges the reasonability of the control commands according to the real environment condition.
Further, the method also comprises an instruction recording step, a scene analyzing step and a condition generating step, wherein the instruction recording step comprises the following steps: recording the executed instruction information; the scene analyzing step: analyzing the equipment use habit of the user according to the recorded instruction information; a condition generation step: and generating a preset condition according to the equipment use habit of the user and sending the preset condition.
And the system background records the instruction information after each execution and analyzes the equipment use habit of the current user through a machine learning algorithm. And automatically generating preset conditions which accord with the living habits of the user according to the analyzed equipment using habits of the user. Repeated setting of the user is removed from like this, and the experience of intelligent house is improved.
Further, the method also comprises a suggestion generation step: generating an optimization suggestion according to the equipment use habit of the user; the optimization suggestions include device use suggestions and lifestyle and rest suggestions.
According to the equipment use habits of the user, the big data analysis is combined to generate related optimization suggestions, and the user is helped to optimize and improve some bad habits in daily life. The optimization suggestions comprise equipment use suggestions and daily work and rest suggestions, the system can further analyze the daily work and rest habits of the user according to the equipment use habits of the user, and generate suggestions which are beneficial to equipment maintenance and the daily work and rest health of the user according to the equipment use habits and the daily work and rest habits combined with big data analysis, so that the system is beneficial to the service life of the equipment and the daily work and rest health of the user.
Further, the method also comprises a defense feedback step: and for the remote instruction identified as the malicious control, the control instruction is not executed, and executed feedback information is sent.
For some remote control instructions which are useful and even affect personal safety, the system can identify the instructions as malicious control instructions and refuse to execute the instructions, a further control means is adopted to prevent malicious control personnel from knowing control failure messages, and the system can feed back executed information to a sending terminal of the malicious instructions when refusing to execute the instructions, so that the malicious control personnel are prevented from continuously harming behaviors, and the defense purpose is achieved.
The invention also provides an intelligent equipment control system, and the system adopts the intelligent equipment control method.
The present invention also provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the above-described smart device control method.
Drawings
Fig. 1 is a logic block diagram of an intelligent device control method according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the present invention belongs.
Example (b):
as shown in fig. 1, the present embodiment discloses an intelligent device control method. The method comprises a condition presetting step, an instruction identification step, a condition judgment step, an instruction sending step, a state identification step, an instruction recording step, a scene analysis step, a condition generation step and a suggestion generation step.
And a condition presetting step, namely receiving a preset condition of the intelligent equipment control instruction by the system. The preset conditions comprise limiting conditions and execution conditions, the limiting conditions are used for screening and limiting artificially-sent control instructions, the instructions meeting the limiting conditions can enter the next sending step, the limiting conditions need to be preset by a user, and the limiting conditions in the embodiment comprise local terminal limitation, trigger source limitation, area limitation, time limitation and equipment limitation. The local terminal definition means that the intelligent device can be controlled only through a locally connected terminal or only through a non-locally connected terminal, and two modes of local control only and remote control only are provided; the trigger source limitation refers to that the intelligent equipment can be controlled only through a specified trigger source, such as an application program end or a webpage end, and a user sets that only a control instruction from the application program end is processed; the region limitation means that the intelligent device can be controlled only by instructions sent by a specified region, for example, a user sets that only control instructions from Zhejiang province are processed; the time limitation means that the intelligent device can be controlled only by an instruction sent within a specified time, for example, a user sets that only control instructions of 9:00 to 12:00 per Monday are processed; the device definition means that only the designated device can be controlled, that is, only the control instruction of the device selected by the user is processed. The above definition conditions can be freely combined by the user, and operations of the multivariate control are realized, for example, a plurality of definition condition combinations are set according to time period division.
The execution conditions are used for automatically sending corresponding control instructions by the system when the scene state meets the preset conditions, the reservation setting of the equipment can be carried out, the step of manual operation is omitted, the execution conditions also need to be preset by a user, in the embodiment, the execution conditions comprise control equipment, a control mode, execution time, equipment states and execution times, and the control equipment refers to intelligent equipment needing to send the control instructions; the control mode refers to a specific control mode of the intelligent equipment to be controlled, such as the brightness for adjusting light, the temperature for adjusting an air conditioner and the like; the execution time refers to the time when the system sends the control command; the device state refers to a device running state, for example, if it is recognized that the device is in a closed state, the device running state may be used as a condition for sending a control instruction; the execution times refer to the sending times of the same control command, for example, the execution is stopped after a certain command is sent three times. The above execution conditions can be freely combined by the user, and operations of the multivariate control are realized, for example, a plurality of execution condition combinations are set according to time period division.
And the system receives and stores preset conditions set by a user for subsequent instruction judgment steps.
And in the instruction identification step, the system receives a control instruction sent by a person, and identifies instruction information including information of a sending terminal, a trigger source, a region, time, an equipment object and the like. In this embodiment, for the identification of the sending terminal, the system identifies whether the terminal is in a local connection state through a connection mode such as a wireless local area network or bluetooth, and directly extracts basic information of the instruction for identification of the trigger source, the area, the time and the device object.
And a condition judgment step, namely judging the relevant information of the identified artificial control instruction through a preset limiting condition, allowing the instruction meeting the limiting condition to pass through, outputting corresponding instruction information, and entering the instruction sending step of the next step. Instructions that do not meet the defined conditions are rejected, for example, a user needs to realize remote control of the home intelligent device during business trips, the setting is within a time period from 2022, 3, 15, 9:00 to 2022, 3, 18, 20:00, and the instructions triggered by the application program are allowed to pass out of Zhejiang province.
And under the condition that the user does not set a clear limiting condition but simultaneously receives a plurality of conflicting control instructions, the system judges the reasonability of the control instructions according to the real environment condition so as to execute the relatively reasonable control instructions. For example, the user does not set the local terminal limit, at this time, the system receives a local control command for turning on the light and a remote control command for turning off the light at the same time, the two commands conflict with each other, and at this time, the system obviously turns off the light more reasonably by combining the current environmental conditions, for example, at 11 am, so that the system judges to execute the remote control command for turning off the light. Or the system receives a local control instruction for opening the air-conditioning cooling mode and a remote control instruction for opening the air-conditioning heating mode at the same time, the air-conditioning heating is more reasonable to open in the winter january, and therefore the system executes the remote control instruction for opening the air-conditioning heating.
The system also judges according to the stored execution conditions and the scene state, when the scene state meets the execution conditions, corresponding information is automatically sent, for example, a user sets that the light is turned on at 6 am every day and the brightness is adjusted to be 30%, and the light is turned on at 7 pm every day and the brightness is adjusted to be 80%, and when the time reaches the execution conditions, corresponding instruction information is output.
And an instruction sending step, namely outputting a control instruction to the corresponding intelligent equipment according to the instruction information received in the step, so as to realize the regulation and control of the intelligent equipment.
And a state identification step, namely identifying the running state of the current equipment, and feeding the running state as a scene state back to the condition judgment step, for example, setting that the light is turned on at 7 pm every day and the brightness is regulated to 80% and is forcibly maintained, the light is turned on automatically when the light is turned off, namely, after the light is turned off manually at 7 pm, the system still sends a command of turning on the light to turn on the light again, the user can also set the execution times to be 3 times on the basis, namely, the light is turned off manually for multiple times, and after the system is turned on forcibly for 3 times, the system does not send a command of turning on the light again when the light is turned off manually again.
And an instruction recording step, namely recording and storing the instruction information which is sent and executed each time.
And a scene analysis step, namely analyzing the equipment use habits of the current user through a machine learning algorithm according to the recorded instruction information, wherein the equipment use habits comprise the air conditioner use habits, the light use habits, the sweeping robot use habits and other specific use scenes of the intelligent equipment.
And a condition generating step, namely automatically generating a limiting condition and an executing condition which accord with the living habits of the user according to the analyzed use habits of the user, and adjusting and controlling the corresponding equipment at corresponding time, for example, if the user gets up at 7 am, automatically turns on bedside lights, starts a sweeping robot at 3 pm, if the user gets home at 7 pm, automatically turns on an air conditioner and adjusts to a habit temperature, if the user is at home at weekend, a control instruction which is only allowed to be sent by a local terminal is set in the limiting condition.
And a suggestion generation step, wherein related optimization suggestions are generated by combining big data analysis according to the device use habits of the user, wherein the optimization suggestions comprise device use suggestions and daily work and rest suggestions. The system can further analyze the working and rest habits of the user according to the equipment use habits of the user, and generates suggestions which are beneficial to equipment maintenance and the working and rest health of the user by combining big data analysis according to the equipment use habits and the working and rest habits of the user, for example, the user often turns off bedside lamps at 1 am, the user is inferred to often fall asleep at 1 am, and in order to ensure the sleep health, the system generates suggestions for turning off the light to fall asleep before 11 am. The user often closes the air conditioner through remote control after leaving work at 10 am, deduces that the user thinks that the air conditioner is not closed after leaving work, and generates 8 am suggestions for automatically closing the air conditioner for energy conservation and air conditioner maintenance. The system pushes the suggestion to a mobile phone terminal of the user for the reference of the user.
And a defense feedback step, namely, for some remote control instructions which are not useful and even influence the personal safety, for example, unreasonable control instructions from the same region or the same terminal are received for many times, for example, unreasonable instructions such as heating off in winter and the like, the system can identify the instructions as malicious control instructions and refuse to execute, a further control means is adopted for preventing malicious control personnel from knowing control failure messages, and the system can feed back executed information to a sending terminal of the malicious instructions when refusing to execute, so that the malicious control personnel are prevented from continuously harming behaviors, and the defense purpose is achieved.
The embodiment also provides an intelligent device control system, and the system adopts the intelligent device control method.
The present embodiment also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described smart device control method.
The foregoing are merely exemplary embodiments of the present invention, and no attempt is made to show structural details of the invention in more detail than is necessary for the fundamental understanding of the art, the description taken with the drawings making apparent to those skilled in the art how the several forms of the invention may be embodied in practice with the teachings of the invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. The intelligent equipment control method is characterized by comprising the following steps:
a condition presetting step: receiving a preset condition of an intelligent device control instruction;
an instruction identification step: receiving and identifying instruction information;
a condition judgment step: judging whether the received instruction information meets a preset condition, and outputting the instruction information;
an instruction sending step: and outputting a control instruction to the intelligent equipment according to the instruction information.
2. The intelligent device control method according to claim 1, characterized in that: the preset conditions comprise limiting conditions and executing conditions, and the condition judging step comprises the following steps: if the received instruction information is judged to accord with the limited condition, outputting corresponding instruction information; and if the scene state is judged to accord with the execution condition, outputting corresponding instruction information.
3. The intelligent device control method according to claim 2, wherein: the limiting conditions comprise one or more of local terminal limitation, trigger source limitation, region limitation, time limitation and equipment limitation; the execution condition includes one or more of a control device, a control manner, and an execution time.
4. The intelligent device control method according to claim 3, wherein: the execution condition further comprises an equipment state and execution times, and further comprises a state identification step: the operating state of the device is identified.
5. The intelligent device control method according to claim 1, wherein: the condition judging step also comprises the steps of simultaneously receiving a plurality of conflicting instruction information, judging the rationality of each instruction and outputting reasonable instruction information.
6. The intelligent device control method according to claim 1, wherein: the method also comprises an instruction recording step, a scene analysis step and a condition generation step, wherein the instruction recording step comprises the following steps: recording the executed instruction information; the scene analyzing step: analyzing the equipment use habit of the user according to the recorded instruction information; a condition generation step: and generating a preset condition according to the equipment use habit of the user and sending the preset condition.
7. The intelligent device control method according to claim 6, wherein: also comprises a suggestion generation step: generating an optimization suggestion according to the equipment use habit of a user; the optimization suggestions include device use suggestions and lifestyle and rest suggestions.
8. The intelligent device control method according to claim 1, wherein: further comprises a defense feedback step: and for the remote instruction identified as the malicious control, not executing the control instruction and sending executed feedback information.
9. Intelligent equipment control system, its characterized in that: the system adopts the intelligent device control method of any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that a computer program is stored which, when being executed by a processor, implements the smart device control method according to any one of claims 1 to 8.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115499261A (en) * | 2022-08-30 | 2022-12-20 | 塔普翊海（上海）智能科技有限公司 | Intelligent equipment control method and system based on intelligent glasses and intelligent glasses |
| WO2024017020A1 (en) * | 2022-07-20 | 2024-01-25 | 青岛海尔空调器有限总公司 | Method and apparatus for controlling air conditioner, and air conditioner and storage medium |
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2022
- 2022-03-31 CN CN202210343758.XA patent/CN114706315A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024017020A1 (en) * | 2022-07-20 | 2024-01-25 | 青岛海尔空调器有限总公司 | Method and apparatus for controlling air conditioner, and air conditioner and storage medium |
| CN115499261A (en) * | 2022-08-30 | 2022-12-20 | 塔普翊海（上海）智能科技有限公司 | Intelligent equipment control method and system based on intelligent glasses and intelligent glasses |
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