CN116610040B - Intelligent household appliance control method, system and device based on Internet of things - Google Patents

Intelligent household appliance control method, system and device based on Internet of things Download PDF

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CN116610040B
CN116610040B CN202310845849.8A CN202310845849A CN116610040B CN 116610040 B CN116610040 B CN 116610040B CN 202310845849 A CN202310845849 A CN 202310845849A CN 116610040 B CN116610040 B CN 116610040B
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control
personalized
feature
information item
environmental information
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CN116610040A (en
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杨伟鸿
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Jiangmen Hongyuda Machinery & Electrical Manufacturing Co ltd
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Jiangmen Hongyuda Machinery & Electrical Manufacturing Co ltd
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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]
    • 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
    • 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 invention provides an intelligent household appliance control method, system and device based on the Internet of things, wherein the method comprises the following steps: acquiring all historical control instructions sent by a current user based on an intelligent home control system; analyzing the personalized control associated characteristics of the current user, and determining a control influence environment information item and a control influence strategy of each personalized control associated sub-characteristic in the personalized control associated characteristics; determining a monitoring trigger mechanism of each control influence environment information item based on the control influence environment information items corresponding to all the personalized control association sub-features; acquiring an intelligent household appliance control result based on all control instructions sent by a current user in a current control period, a monitoring trigger mechanism of each control influence environment information item and all control influence strategies; the intelligent control system is used for realizing intelligent associated control of intelligent household appliances accessed in a gateway layer of the Internet of things and providing the intelligent degree of intelligent household appliance control.

Description

Intelligent household appliance control method, system and device based on Internet of things
Technical Field
The invention relates to the technical field of intelligent home control, in particular to an intelligent home control method, system and device based on the Internet of things.
Background
At present, there is a product or technology combining control of the internet of things and intelligent household appliances, which mainly realizes remote control and intelligent control of a user on the intelligent household appliances through the internet of things, for example, patent with application number of CN201911406766.9, the disclosed intelligent household appliance control method based on the internet of things realizes control on the intelligent household appliances through infrared remote control codes in the internet of things, but the intelligent household appliance control method based on the internet of things cannot realize complex control functions of the household appliances, has single control function and low intelligent degree, and other household appliance control methods with high intelligent degree exist in the household appliance control field, for example, patent with application number of CN202211113315.8, realizes reservation setting of the household appliances through analysis of sleep state, and for example, patent with application number of CN201710018176.3, and discloses a linkage starting method between household appliances, which realizes linkage starting of the household appliances through virtual household groups and built scenes triggered by fingerprint information.
However, in the prior art, the home appliance linkage control or reservation control mode is not combined with the internet of things, so that the acquired environment information or user information related to control is limited, further, the instruction range of the home appliance linkage control or reservation control is limited, and further, the intelligent degree of the home appliance control is not high enough.
Therefore, the invention provides an intelligent household appliance control method, system and device based on the Internet of things.
Disclosure of Invention
The invention provides an intelligent household appliance control method, system and device based on the Internet of things, which are used for analyzing the characteristics of the associated control of a user based on the information acquired through the Internet of things, further determining a trigger mechanism and a control influence strategy for controlling an environmental information item, further combining all control instructions which are already sent by the user in the current control period and acquired based on the Internet of things, realizing the intelligent associated control of intelligent household appliances accessed in a gateway layer of the Internet of things, and providing the intelligent degree of intelligent household appliance control.
The invention provides an intelligent household appliance control method based on the Internet of things, which comprises the following steps:
s1: the gateway layer based on the Internet of things acquires all historical control instructions sent by a current user based on the intelligent home control system;
s2: analyzing the personalized control associated characteristics of the current user based on all the historical control instructions, and determining control influence environment information items and control influence strategies of each personalized control associated sub-characteristic in the personalized control associated characteristics;
s3: determining a monitoring trigger mechanism of each control influence environment information item based on the control influence environment information items corresponding to all the personalized control association sub-features;
S4: and obtaining an intelligent household appliance control result based on all control instructions sent by the current user in the current control period, a monitoring trigger mechanism of each control influence environment information item and all control influence strategies.
Preferably, S1: the gateway layer based on the Internet of things acquires all historical control instructions sent by a current user based on an intelligent home control system, and the method comprises the following steps:
reading login terminal information of a current user in an intelligent home control system;
determining a gateway access channel corresponding to login terminal information at a gateway layer of the Internet of things;
and acquiring all the history control instructions received in the gateway access channel, and taking the history control instructions as all the history control instructions sent by the current user based on the intelligent home control system.
Preferably, S2: analyzing the personalized control associated feature of the current user based on all the historical control instructions, and determining a control influence environment information item and a control influence strategy corresponding to each personalized control associated sub-feature in the personalized control associated feature, wherein the method comprises the following steps:
performing multi-level function upper summarization on all the history control instructions of the current user to obtain the realization function of the history control instructions under each summarization level;
Screening out historical control instruction groups with sending interval time within the associated control interval time period from all the historical control instructions, and determining an implementation function group of each historical control instruction group under each summarizing level;
determining a first occurrence frequency of each implementation function in all the history control instructions and a second occurrence frequency of each implementation function group in all the history control instruction groups;
calculating the co-occurrence rate of the implementation function group based on the first occurrence frequency and the second occurrence frequency;
taking all the realization function groups with the co-occurrence rate not smaller than the co-occurrence rate threshold as personalized control association features of the current user;
and determining the control influence environment information item and the control influence strategy of each personalized control associated sub-feature based on the realization function group corresponding to each personalized control associated sub-feature in the personalized control associated feature and the historical monitoring information of all environment information items.
Preferably, determining the control influence environmental information item and the control influence policy of each personalized control associated sub-feature based on the implementation function group corresponding to each personalized control associated sub-feature in the personalized control associated feature and the history monitoring information of all environmental information items includes:
Taking a history control instruction group corresponding to an implementation function group corresponding to each personalized control associated sub-feature in the personalized control associated feature as an instruction group to be associated, and determining analysis periods corresponding to all environment information items of each personalized control associated sub-feature based on the sending time of the history control instruction in the instruction group to be associated;
acquiring historical monitoring information of corresponding environmental information items in each analysis period based on a terminal layer of the Internet of things;
carrying out commonality analysis on the historical monitoring information of each environmental information item in all analysis periods of each personalized control associated sub-feature, and determining that the environmental information item with the commonality feature is used as a control influence environmental information item corresponding to the personalized control associated sub-feature;
and determining a control influence strategy of the corresponding personalized control associated sub-feature based on the common feature and the implementation function group in the corresponding personalized control associated sub-feature.
Preferably, the method for determining the control influence environment information item of the personalized control related sub-feature includes performing a commonality analysis on the historical monitoring information of each environment information item in all analysis periods of each personalized control related sub-feature, and determining the environment information item with the commonality feature as the control influence environment information item of the corresponding personalized control related sub-feature, including:
Analyzing a significant change data segment and a significant change time segment in the historical monitoring information of all analysis periods of each individual control associated sub-feature of each environmental information item;
calculating the commonality of all the significantly changed data segments of the same environmental information item;
calculating a first correlation coefficient between all significant change time periods of the same environmental information item and the sending time of a starting historical control instruction in a corresponding to-be-associated instruction group of the personalized control associated sub-feature;
judging whether the corresponding environmental information items have common characteristics or not based on the corresponding commonality of the same environmental information items and the first correlation coefficient, if so, regarding the corresponding environmental information items as control influence environmental information items of corresponding personalized control associated sub-characteristics, and determining the common characteristics of the corresponding environmental information items based on all significant change data segments of the corresponding environmental information items in the corresponding personalized control associated sub-characteristics;
otherwise, the corresponding judging result is reserved.
Preferably, determining the common feature of the corresponding environmental information item based on all the significantly changed data segments of the corresponding environmental information item in the corresponding personalized control association sub-feature includes:
Calculating the coincidence degree between each significant change data segment and the corresponding environmental information item in all the significant change data segments corresponding to the personalized control associated sub-feature, wherein the significant change data segments are remained except the significant change data segment calculated currently;
deleting the significant change data segments with the coincidence degree not exceeding the coincidence degree threshold value, and continuously calculating the coincidence degree between each significant change time segment remaining after deletion and the significant change data segments remaining after deletion in all the significant change data segments of the corresponding personalized control associated sub-feature except the significant change data segment currently calculated;
and deleting the significant change data segments with the coincidence degree not exceeding the coincidence degree threshold value until the coincidence degree between the significant change data segments with the coincidence degree not exceeding the coincidence degree threshold value in all the significant change data segments with the coincidence degree exceeding the coincidence degree threshold value, wherein the coincidence part data segments of all the significant change data segments with the coincidence degree corresponding to the environmental information item in the current corresponding personalized control associated sub-feature are regarded as the common feature of the corresponding environmental information item.
Preferably, S3: based on the control influence environment information items corresponding to all the personalized control association sub-features, determining a monitoring trigger mechanism of each control influence environment information item, including:
determining an initial implementation function and an associated implementation function of an implementation function group in the personalized control sub-feature;
and taking a control instruction which is sent by the current user and has the consistent implementation function with the initial implementation function as a monitoring trigger mechanism of the control influence environment information item corresponding to the personalized control sub-feature.
Preferably, S4: based on all control instructions sent by the current user in the current control period, a monitoring trigger mechanism of each control influence environment information item and all control influence strategies, obtaining an intelligent household appliance control result, wherein the intelligent household appliance control result comprises the following steps:
based on all control instructions sent by the current user in the current control period, the monitoring trigger mechanism of each environmental information item and all control influence strategies, judging whether to trigger the associated control inquiry mechanism contained in the corresponding personalized control associated sub-feature in real time, if so, sending the associated control inquiry instruction to a login terminal accessed by the current user in a gateway layer of the Internet of things, and receiving the corresponding inquiry feedback instruction;
Based on the inquiry feedback instruction, performing associated control on intelligent household appliances currently accessed by a gateway layer of the Internet of things to obtain an intelligent household appliance control result;
otherwise, the corresponding judgment result is reserved.
The invention provides an intelligent household appliance control system based on the Internet of things, which is used for executing any of the intelligent household appliance control methods based on the Internet of things in the embodiments 1 to 8, and comprises the following steps:
the historical instruction acquisition module is used for acquiring all historical control instructions sent by the current user based on the intelligent home control system based on a gateway layer of the Internet of things;
the associated feature analysis module is used for analyzing the personalized control associated features of the current user based on all the historical control instructions and determining control influence environment information items and control influence strategies of each personalized control associated sub-feature in the personalized control associated features;
the trigger mechanism determining module is used for determining a monitoring trigger mechanism of each control influence environment information item based on the control influence environment information items corresponding to all the personalized control association sub-features;
and the intelligent association control module is used for acquiring an intelligent household appliance control result based on all control instructions sent by the current user in the current control period, a monitoring trigger mechanism of each control influence environment information item and all control influence strategies.
The invention provides an intelligent household appliance control device based on the Internet of things, which is applied to an intelligent household appliance control system based on the Internet of things in embodiment 9.
The invention has the beneficial effects different from the prior art that: based on all historical control instructions input by a current user and acquired through the Internet of things, the characteristics of associated control of the user, namely the characteristics of personalized control association, are analyzed, a trigger mechanism and a control influence strategy for controlling an environmental information item are further determined, and then, by combining all control instructions which are acquired based on the Internet of things and are sent by the user in a current control period, intelligent associated control of intelligent household appliances accessed in a gateway layer of the Internet of things is realized, and by combining household appliance control with the Internet of things, information related to household appliance control habits of the current user is acquired, so that high-intelligent and multi-scene linkage pre-control of intelligent household appliances is realized, and the intelligent degree of intelligent household appliance control is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a flowchart of an intelligent household appliance control method based on the internet of things in an embodiment of the invention;
fig. 2 is a schematic diagram of an intelligent home appliance control system based on the internet of things in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1: the invention provides an intelligent household appliance control method based on the Internet of things, which referring to FIG. 1, comprises the following steps:
s1: the gateway layer based on the Internet of things acquires all historical control instructions sent by a current user based on the intelligent home control system;
s2: analyzing the personalized control associated characteristics of the current user based on all the historical control instructions, and determining control influence environment information items and control influence strategies of each personalized control associated sub-characteristic in the personalized control associated characteristics;
S3: determining a monitoring trigger mechanism of each control influence environment information item based on the control influence environment information items corresponding to all the personalized control association sub-features;
s4: and obtaining an intelligent household appliance control result based on all control instructions sent by the current user in the current control period, a monitoring trigger mechanism of each control influence environment information item and all control influence strategies.
In this embodiment, the internet of things includes: the system comprises a terminal layer which is accessed to terminal equipment of the Internet of things based on various network protocols, a gateway layer which provides gateway access for a large number of terminal equipment of the Internet of things contained in the terminal layer, and a platform layer which realizes the management analysis function of the whole Internet of things, namely an application layer which is loaded with various Internet of things application software or systems.
In this embodiment, the smart home control system is a system that is installed in an application layer of the internet of things and is used for providing a function of controlling terminal devices (smart home devices and environment monitoring devices) for users.
In this embodiment, the history control instruction is an instruction for controlling the smart home device, which is sent by the current user based on the smart home control system.
In this embodiment, the personalized control association feature is a functional combination that characterizes the implementation of association control in the association control habit of the user on the intelligent home appliance, for example: when the user inputs a control instruction for opening the window after a period of time, the control instruction for opening the fresh air system is input, the personalized control related feature may be a functional combination for opening the window and opening the fresh air system, and the personalized control related feature may include a plurality of functional combinations similar to the functions for opening the window and opening the fresh air system.
In this embodiment, the personalized control related sub-feature is one implementation function combination included in the personalized control related feature.
In this embodiment, the control influencing environmental information item is an environmental information category that has an influence on the personalized control related sub-feature, for example: the control influence environment information item realizing the function combination of opening the window and opening the fresh air system can be the concentration of PM2.5 in the indoor air environment, and can also be other environment information types such as the environment temperature or the environment humidity.
In this embodiment, the control influence policy is an influence manner of controlling how the influence environment information item influences (causes) the control instruction combination corresponding to the implementation function group included in the personalized control association feature possibly input by the user;
for example: when the concentration of PM2.5 in the indoor air environment is more than 10 micrograms per cubic meter, and when the user inputs a control instruction with the realization function of opening a window, the user is predicted to input the control instruction with the realization function of opening a fresh air system, and the prediction mode for predicting the realization function of the control instruction possibly input by the user based on the control influence environment information item is the control influence strategy.
In this embodiment, the monitoring trigger mechanism is a trigger mechanism that triggers a monitoring device that acquires an environmental information item to start monitoring and acquiring real-time information (or data) of the corresponding environmental information item, for example: when a user inputs a control instruction with the implementation function of opening a window, namely, a detection trigger mechanism for representing an environment information item triggering the concentration of PM2.5 in the indoor air environment is represented, namely, the corresponding monitoring equipment can be controlled to automatically start to acquire real-time information (or data) of the corresponding environment information item.
In this embodiment, the current control period is a preset control period of the intelligent home appliance, and may be a control period taking 24 hours as a period or a control period taking quarterly as a period.
In this embodiment, the control instruction is an instruction for controlling the intelligent home appliance, which is input by the user based on the intelligent home appliance control system.
In this embodiment, the intelligent home appliance control result is a result obtained after the intelligent home appliance is automatically controlled in association with the intelligent home appliance.
The beneficial effects of the technology are as follows: based on all historical control instructions input by a current user and acquired through the Internet of things, the characteristics of associated control of the user, namely the characteristics of personalized control association, are analyzed, a trigger mechanism and a control influence strategy for controlling an environmental information item are further determined, and then, by combining all control instructions which are acquired based on the Internet of things and are sent by the user in a current control period, intelligent associated control of intelligent household appliances accessed in a gateway layer of the Internet of things is realized, and by combining household appliance control with the Internet of things, information related to household appliance control habits of the current user is acquired, so that high-intelligent and multi-scene linkage pre-control of intelligent household appliances is realized, and the intelligent degree of intelligent household appliance control is improved.
Example 2: based on example 1, S1: the gateway layer based on the Internet of things acquires all historical control instructions sent by a current user based on an intelligent home control system, and the method comprises the following steps:
reading login terminal information of a current user in an intelligent home control system;
determining a gateway access channel corresponding to login terminal information at a gateway layer of the Internet of things;
and acquiring all the history control instructions received in the gateway access channel, and taking the history control instructions as all the history control instructions sent by the current user based on the intelligent home control system.
In this embodiment, the login terminal information is information of a login terminal that is input by a user when the user logs in the smart home control system, for example, an IP address of the login terminal.
In this embodiment, the gateway access channel is a communication channel provided by a gateway layer of the internet of things, so that the login terminal can implement control over all intelligent home appliances of the terminal layer based on the intelligent home appliance control system.
The beneficial effects of the technology are as follows: and determining a gateway access channel in a gateway layer based on login terminal information of the user in the intelligent home control system, and extracting all historical control instructions in the gateway access channel, so as to realize accurate determination of an issuer of the historical control instructions and efficient and accurate reading of the historical control instructions issued by the user.
Example 3: based on example 1, S2: analyzing the personalized control associated feature of the current user based on all the historical control instructions, and determining a control influence environment information item and a control influence strategy corresponding to each personalized control associated sub-feature in the personalized control associated feature, wherein the method comprises the following steps:
performing multi-level function upper summarization on all the history control instructions of the current user to obtain the realization function of the history control instructions under each summarization level;
screening out historical control instruction groups with the sending interval time (namely the interval time of the sending time) in the associated control interval time period from all the historical control instructions, and determining the implementation function groups of each historical control instruction group under each summarizing level;
determining a first occurrence frequency of each implementation function in all the history control instructions and a second occurrence frequency of each implementation function group in all the history control instruction groups;
calculating the co-occurrence rate of the implementation function group based on the first occurrence frequency and the second occurrence frequency;
taking all the realization function groups with the co-occurrence rate not smaller than the co-occurrence rate threshold as personalized control association features of the current user;
and determining the control influence environment information item and the control influence strategy of each personalized control associated sub-feature based on the realization function group corresponding to each personalized control associated sub-feature in the personalized control associated feature and the historical monitoring information of all environment information items.
In this embodiment, multi-level functional upper level summarization is a process of summarizing the implementation function of the control instruction based on a plurality of preset summarization levels, for example: the implementation function of the control instruction a is to adjust the target temperature of the air conditioner to 28 ℃, and the implementation function of the control instruction a under the first outline level is as follows: the target temperature of the air conditioner is regulated up, and the implementation function of the control instruction a under the second generalized level is as follows: the target temperature of the air conditioner is regulated, and the implementation function of the control instruction a under the third generalized level is as follows: the higher the summary level, the greater the gap between the originally implemented functions for the control instructions, the more blurred the functions, and vice versa.
In this embodiment, the higher the summarizing level is, the more the difference between the original implementation functions of the control instruction is, the more the functions are blurred, and vice versa, for example, the summarizing method of the first summarizing level is to summarize specific control execution data of the control instruction into "bigger" or "smaller", summarize the implementation functions of the control instruction into implementation functions only including the execution object and the data item of the control, summarize the implementation functions of the control instruction into implementation functions only including the execution object, and so on.
In this embodiment, the functions implemented by the control instructions are implemented in different expressions at different levels of generalization.
In this embodiment, the association control interval period is a preset allowable maximum value of the sending time interval between the control commands with association control relationships.
In this embodiment, the history control instruction group is a combination of two history control instructions whose issue time intervals are within the associated control interval period.
In this embodiment, the implementation function group is a combination of implementation function structures of two history control instructions included in the history control instruction group at the same summary level.
In this embodiment, a first frequency of occurrence of each implementation function in all the history control instructions and a second frequency of occurrence of each implementation function group in all the history control instruction groups are determined, which are:
taking the ratio of the total number of the history control instructions with the implementation functions being the currently calculated implementation functions to the total number of the history control instructions as a first occurrence frequency;
the implementation function of the two included history control instructions is regarded as the ratio of the total number of the history control instruction groups of the currently calculated implementation function group to the total number of all history control instruction groups, and the second occurrence frequency is regarded as the second occurrence frequency.
In this embodiment, the first frequency of occurrence is the number duty cycle of all the history control instructions that characterizes the single implementation function that can implement the current calculation.
In this embodiment, the second occurrence frequency is a quantity ratio of the history control instruction sets representing the implementation functions included in the implementation function set capable of implementing the current calculation in all the history control instruction sets.
In this embodiment, calculating the co-occurrence rate of the implementation function group based on the first occurrence frequency and the second occurrence frequency includes:
wherein alpha is co-occurrence To achieve co-occurrence of functional groups, alpha occurrence2 To realize the function group of the function group, alpha occurrence11 To realize the first frequency of occurrence of the first implementation function in the group of functions in all historical control instructions, alpha occurrence12 A first frequency of occurrence in all historical control instructions for a second implementation function in the set of implementation functions;
based on the formula, the co-occurrence rate of the frequency of the simultaneous occurrence of the implementation function contained in the implementation function group in all the history control instructions corresponding to the implementation function contained in the implementation function group can be accurately calculated based on the ratio of the second occurrence frequency of the implementation function group to the first occurrence frequency of the implementation function contained in the implementation function group in all the history control instructions.
In this embodiment, the co-occurrence rate is a frequency of simultaneous occurrence of the implementation functions included in the characterization implementation function group in all the history control instructions corresponding to the implementation functions included in the characterization implementation function group.
In this embodiment, the co-occurrence threshold is a preset screening threshold for reference when screening personalized control association features that can characterize the user control habit from all the implementation function groups.
In this embodiment, the history monitoring information is real-time data of environmental information items acquired during a use period in which the user uses the intelligent home appliance control system to control the intelligent home appliance control device.
The beneficial effects of the technology are as follows: the method comprises the steps of carrying out multi-level summarization on the implementation functions of all historical control instructions of a current user, combining the historical control instructions based on an associated control interval time period, calculating the co-occurrence rate of the implementation function groups based on the first occurrence frequency of each implementation function in all the historical control instructions and the second occurrence frequency of each implementation function group in all the historical control instruction groups, screening out the personalized control association characteristics which can represent the implementation function groups of the user control habits as the current user through a preset co-occurrence rate threshold, further determining the control influence environment information item and the control influence strategy of each personalized control association sub-characteristic by combining with the historical monitoring information of the environment information item, analyzing the control habits of the user, and accurately analyzing the control influence environment information item and the control influence strategy of the associated control habits of the user by combining with the historical monitoring information.
Example 4: on the basis of embodiment 3, based on the implementation function group corresponding to each personalized control associated sub-feature in the personalized control associated feature and the history monitoring information of all the environmental information items, determining a control influence environmental information item and a control influence policy of each personalized control associated sub-feature includes:
taking a history control instruction group corresponding to an implementation function group corresponding to each personalized control associated sub-feature in the personalized control associated feature as an instruction group to be associated, and determining analysis periods corresponding to all environment information items of each personalized control associated sub-feature based on the sending time of the history control instruction in the instruction group to be associated;
acquiring historical monitoring information of corresponding environmental information items in each analysis period based on a terminal layer of the Internet of things;
carrying out commonality analysis on the historical monitoring information of each environmental information item in all analysis periods of each personalized control associated sub-feature, and determining that the environmental information item with the commonality feature is used as a control influence environmental information item corresponding to the personalized control associated sub-feature;
and determining a control influence strategy of the corresponding personalized control associated sub-feature based on the common feature and the implementation function group in the corresponding personalized control associated sub-feature.
In this embodiment, the to-be-associated instruction set is a history control instruction set corresponding to an implementation function set corresponding to the personalized control associated sub-feature.
In this embodiment, the analysis period is an information data coverage period of the history monitoring information required when the control of the personalized control related sub-feature affects the environmental information item based on the history monitoring information of the environmental information item.
In this embodiment, determining an analysis period corresponding to all environmental information items of each personalized control association sub-feature based on a sending time of a history control instruction in the to-be-associated instruction group includes:
based on the analysis period determining method of each environmental information item (for example, the period from the time point of the first historical control instruction in the to-be-associated instruction set to the time point of the first historical control instruction in the to-be-associated instruction set is regarded as the analysis period of the corresponding environmental information item) and the time point of the first historical control instruction in the to-be-associated instruction set (for example, the time point of the first historical control instruction in the to-be-associated instruction set is nine am), the analysis period corresponding to the environmental information item of the personalized control associated sub-feature (namely, the period from eight am to nine am) is determined.
In this embodiment, determining a control influence policy of the corresponding personalized control association sub-feature based on the common feature and the implementation function group in the corresponding personalized control association sub-feature includes:
When the value of the corresponding environmental information item is within the data range of the data segment included in the corresponding commonality feature and the acquisition time of the value of the corresponding environmental information item is within the data coverage period included in the corresponding commonality feature, and the user inputs the implementation function as the first implementation function of the implementation function group in the corresponding individualization control association sub-feature, the intelligent household appliance is controlled based on the second implementation function of the implementation function group in the corresponding individualization control association sub-feature, and the control strategy is regarded as a control influence strategy of the corresponding individualization control association sub-feature (for example, a control instruction for inquiring whether to execute the implementation function as the second implementation function of the implementation function group in the corresponding individualization control association sub-feature is sent to the user, and the intelligent household appliance is controlled based on the inquiry feedback instruction input by the user).
The beneficial effects of the technology are as follows: determining an analysis period of each environmental information item based on the sending time of all the historical control instructions corresponding to the implementation function group corresponding to each personalized control associated sub-feature, performing commonality analysis on the historical monitoring information of the environmental information item in the analysis period, recognizing the environmental information item with common features as the control influence environmental information item corresponding to the personalized control associated sub-feature, further determining the control influence strategy of the personalized control associated sub-feature, namely accurately analyzing the control influence strategy and the control factor environmental information item of the personalized control associated sub-feature through commonality analysis on the historical monitoring information of the environmental information item.
Example 5: on the basis of embodiment 4, a commonality analysis is performed on the history monitoring information of each environmental information item in all analysis periods of each personalized control association sub-feature, and it is determined that the environmental information item having the commonality feature is regarded as a control influence environmental information item of the corresponding personalized control association sub-feature, including:
analyzing a significant change data segment and a significant change time segment in the historical monitoring information of all analysis periods of each individual control associated sub-feature of each environmental information item;
calculating the commonality of all the significantly changed data segments of the same environmental information item;
calculating a first correlation coefficient between all significant change time periods of the same environmental information item and the sending time of a starting historical control instruction in a corresponding to-be-associated instruction group of the personalized control associated sub-feature;
judging whether the corresponding environmental information items have common characteristics or not based on the corresponding commonality of the same environmental information items and the first correlation coefficient, if so, regarding the corresponding environmental information items as control influence environmental information items of corresponding personalized control associated sub-characteristics, and determining the common characteristics of the corresponding environmental information items based on all significant change data segments of the corresponding environmental information items in the corresponding personalized control associated sub-characteristics;
Otherwise, the corresponding judging result is reserved.
In this embodiment, in the history monitoring information of all analysis periods of each individual control-associated sub-feature for each environmental information item, the significant change data period and the significant change time period are analyzed, including:
and taking the data segment of abnormal change of each environmental information item in the monitoring data corresponding to the historical monitoring information of all analysis periods of each personalized control related sub-feature (such as a mutation point in a monitoring value curve corresponding to the monitoring data and a data segment corresponding to a curve segment behind the mutation point) as a significant change data segment, and taking a coverage event end corresponding to the significant change data segment as a significant change time segment.
In this embodiment, the significantly changed data segment is a data segment in which the data of the individual environmental information item is significantly changed in the history monitoring information of all analysis periods of each personalized control related sub-feature.
In this embodiment, the significant change time period is a time period covered by a significant change data period in the history monitoring information of all analysis periods of each personalized control related sub-feature by the individual environmental information item.
In this embodiment, the commonality of all significantly changing data segments of the same environmental information item is calculated, including:
The commonality of all the significantly changed data segments of the same environmental information item is calculated based on the start time and the end time of the coverage time of all the significantly changed data segments of the same environmental information item, and the start time and the end time of the coverage time of overlapping data segments of all the significantly changed data segments of the same environmental information item (i.e., data value segments corresponding to partial curves where there is a curve overlap between the numerical value change curves corresponding to different significantly changed data segments, for example, data segments corresponding to overlapping portions in the numerical value change curve a corresponding to the significantly changed data segment a and the numerical value change curve C corresponding to the significantly changed data segment C):
wherein alpha is commonness For the commonality of all significantly changed data segments of the same environmental information item, m is the total number of all coincident data segments in all significantly changed data segments of the same environmental information item, t j·end The termination time, t, of the j-th coincident data segment of all significantly changing data segments of the same environmental information item j·start The start time s of the j-th coincident data segment in all the significantly changed data segments of the same environmental information item j The total number of the salient change data segments of the j-th coincident data segment in all the salient change data segments containing the same environmental information item is n, the total number of all the salient change data segments is t i·end The termination time, t, for the ith significantly changing data segment i·start The starting time of the ith significant change data segment;
the commonality that can characterize the commonality of all significantly changing data segments of the same environmental information item can be calculated from the coverage of the overlapping data segments and the length of the coverage period based on the start time and the end time of the coverage period of all significantly changing data segments of the same environmental information item and the start time and the end time of the coverage period of overlapping data segments of the data segments overlapping in all significantly changing data segments of the same environmental information item based on the above formula.
In this embodiment, calculating a first correlation coefficient between all significant variation time periods of the same environmental information item and an issue time of a start history control instruction (i.e., a history control instruction whose issue time is previous in the group of instructions to be associated) in a corresponding group of instructions to be associated of the personalized control association sub-feature includes:
calculating the spearman grade correlation coefficient between the starting time of all significant change time periods of the same environmental information item and the sending time of the starting historical control instruction in the corresponding to-be-associated instruction group of the personalized control associated sub-feature, and taking the spearman grade correlation coefficient as a first sub-correlation coefficient;
Calculating the spearman grade correlation coefficient between the ending time of all significant change time periods of the same environmental information item and the sending time of the initial historical control instruction in the corresponding to-be-associated instruction group of the personalized control associated sub-feature, and taking the spearman grade correlation coefficient as a second sub-correlation coefficient;
calculating the spearman grade correlation coefficient between the duration of all significant change time periods of the same environmental information item and the sending time of the initial historical control instruction in the corresponding to-be-associated instruction group of the personalized control associated sub-feature, and taking the spearman grade correlation coefficient as a third sub-correlation coefficient;
and taking the average values of the first sub-correlation coefficient, the second sub-correlation coefficient and the third sub-correlation coefficient as the first correlation coefficient between all significant change time periods of the same environmental information item and the sending time of the starting historical control instruction in the corresponding to-be-associated instruction group of the personalized control associated sub-feature.
In this embodiment, based on the commonality and the first correlation coefficient corresponding to the same environmental information item, determining whether the commonality feature exists in the corresponding environmental information item includes:
and taking the sum of the commonality corresponding to the same environmental information item and the first correlation coefficient as a commonality value of the environmental information item relative to the corresponding personalized control associated sub-feature, and judging that the commonality value is not smaller than the commonality threshold value and the environmental information item has the commonality characteristic relative to the corresponding personalized control associated sub-feature.
In this embodiment, the corresponding determination result is a result obtained after determining whether the corresponding environmental information item has the common feature.
The beneficial effects of the technology are as follows: judging whether the corresponding environmental information item has a common characteristic relative to the corresponding personalized control associated sub-characteristic according to the calculated commonality of all the significant change data segments of the same environmental information item and the calculated first correlation coefficient between all the significant change time segments of the same environmental information item and the sending time of the initial historical control instruction in the corresponding to-be-associated instruction group of the personalized control associated sub-characteristic, and further controlling the corresponding personalized control associated sub-characteristic to influence the common characteristic of the environmental information item and the corresponding environmental information item based on the judging result, namely completing the commonality analysis of the historical monitoring information of the environmental information item in the analysis period.
Example 6: on the basis of embodiment 5, determining the common feature of the corresponding environmental information item based on all the significantly changed data segments of the corresponding environmental information item in the corresponding personalized control associated sub-feature includes:
calculating the coincidence degree between each significant change data segment and the corresponding environmental information item in all the significant change data segments corresponding to the personalized control associated sub-feature, wherein the significant change data segments are remained except the significant change data segment calculated currently;
Deleting the significant change data segments with the coincidence degree not exceeding the coincidence degree threshold value, and continuously calculating the coincidence degree between each significant change time segment remaining after deletion and the significant change data segments remaining after deletion in all the significant change data segments of the corresponding personalized control associated sub-feature except the significant change data segment currently calculated;
and deleting the significant change data segments with the coincidence degree not exceeding the coincidence degree threshold value until the coincidence degree between the significant change data segments with the coincidence degree not exceeding the coincidence degree threshold value in all the significant change data segments with the coincidence degree exceeding the coincidence degree threshold value, wherein the coincidence part data segments of all the significant change data segments with the coincidence degree corresponding to the environmental information item in the current corresponding personalized control associated sub-feature are regarded as the common feature of the corresponding environmental information item.
In this embodiment, calculating the coincidence between each significant change data segment and the significant change data segment remaining in all the significant change data segments of the corresponding personalization control-related sub-feature except the significant change data segment currently calculated, includes:
Determining the superposition data segment of each salient change data segment and each salient change data segment of the corresponding environment information item, which are remained in all salient change data segments corresponding to the personalized control associated sub-feature except the salient change data segment calculated at present, and regarding the ratio of the coverage time length of the superposition data segment by 2 times to the coverage time length of the two salient change data segments calculated at present as the sub-superposition ratio of the two salient change data segments;
and regarding the average value of the sub-coincidence degrees of all the salient change data segments of each salient change data segment and the corresponding environment information item in all the salient change data segments of the corresponding personalized control associated sub-feature except the salient change data segment calculated currently as the coincidence degree between the salient change data segments of each salient change data segment and the corresponding environment information item in all the salient change data segments of the corresponding personalized control associated sub-feature except the salient change data segment calculated currently.
In this embodiment, the overlap ratio threshold is a preset screening threshold for screening the overlap ratio referred to when the data segment with significant change needs to be deleted.
In this embodiment, the manner of continuing to calculate the overlap ratio between each significant change time period remaining after deletion and the significant change data period remaining after deletion among all the significant change data periods of the corresponding personalized control associated sub-feature except the significant change data period currently calculated is the same as the step of calculating the overlap ratio described above in this embodiment.
In this embodiment, regarding the overlapping portion data segment of all the currently remaining significantly changed data segments of the corresponding environmental information item in the corresponding personalized control related sub-feature as a common feature of the corresponding environmental information item, includes:
and regarding the data range of the data segment, which is overlapped in all the current remaining significant change data segments of the corresponding personalized control related sub-feature, of the corresponding environment information item (namely, the data value segment corresponding to the overlapped partial curve in the numerical change curve corresponding to all the significant change data segments) as the commonality feature of the corresponding environment information item.
The beneficial effects of the technology are as follows: the coincidence degree of the corresponding environmental information item between each significant change data segment and all the remaining significant change data segments of the corresponding personalized control associated sub-feature is calculated, and the significant change data segments are continuously screened and deleted based on a coincidence degree threshold value, so that the coincidence degree of the last remaining significant change data segments is higher, and the coincidence part of all the remaining significant change data segments is further taken as a common feature, so that the accurate determination of the common feature is realized.
Example 7: based on example 1, S3: based on the control influence environment information items corresponding to all the personalized control association sub-features, determining a monitoring trigger mechanism of each control influence environment information item, including:
Determining an initial implementation function and an associated implementation function of an implementation function group in the personalized control sub-feature;
and taking a control instruction which is sent by the current user and has the consistent implementation function with the initial implementation function as a monitoring trigger mechanism of the control influence environment information item corresponding to the personalized control sub-feature.
In this embodiment, the initial implementation function is the first implementation function in the implementation function group.
In this embodiment, the associated implementation function is the second implementation function in the implementation function group.
The beneficial effects of the technology are as follows: a monitoring trigger mechanism for each control-affecting environmental information item is determined.
Example 8: based on example 1, S4: based on all control instructions sent by the current user in the current control period, a monitoring trigger mechanism of each control influence environment information item and all control influence strategies, obtaining an intelligent household appliance control result, wherein the intelligent household appliance control result comprises the following steps:
based on all control instructions sent by the current user in the current control period, the monitoring trigger mechanism of each environmental information item and all control influence strategies, judging whether to trigger the associated control inquiry mechanism contained in the corresponding personalized control associated sub-feature in real time, if so, sending the associated control inquiry instruction to a login terminal accessed by the current user in a gateway layer of the Internet of things, and receiving the corresponding inquiry feedback instruction;
Based on the inquiry feedback instruction, performing associated control on intelligent household appliances currently accessed by a gateway layer of the Internet of things to obtain an intelligent household appliance control result;
otherwise, the corresponding judgment result is reserved.
In this embodiment, based on all control instructions and monitoring trigger mechanisms of each environmental information item and all control influence policies that have been issued by the current user in the current control period, determining whether to trigger the associated control query mechanism included in the corresponding personalized control associated sub-feature in real time includes:
when the current user sends out all control instructions which contain the corresponding control instructions in the monitoring trigger mechanism of the environment information items in the current control period, starting to monitor the real-time data of the corresponding environment information items, and when the corresponding real-time data is in the data range of the data segment in the commonality feature contained in the control influence strategy, sending out an inquiry instruction (namely triggering the corresponding associated control inquiry mechanism) for judging whether to execute the control instruction of which the implementation function is the second implementation function in the implementation function group in the corresponding personalized control sub-feature to the login terminal of the user.
In this embodiment, the associated control query mechanism is a query mechanism for querying whether to execute the control instruction corresponding to the second implementation function in the implementation function group in the personalized control associated sub-feature when all control instructions that have been issued by the current user in the current control period and the real-time data of each environmental information item obtained based on the monitoring trigger mechanism of each environmental information item satisfy the control influence policy.
In this embodiment, the association control inquiry command is an inquiry command for inquiring whether to execute the control command of the second implementation function in the implementation function group in the corresponding personalized control association sub-feature, which is issued to the login terminal of the user.
In this embodiment, the query feedback instruction is a feedback instruction made by the user for the associated control query instruction, and the content included in the query feedback instruction may be a control instruction included in the associated control query instruction that is approved or a control instruction included in the associated control query instruction that is not approved.
In this embodiment, based on an inquiry feedback instruction, the intelligent home appliance currently accessed by a gateway layer of the internet of things is subjected to association control, and an intelligent home appliance control result is obtained, namely:
when the query feedback instruction is a control instruction contained in the consent execution associated control query instruction, starting to execute the control instruction contained in the associated control query instruction, so as to realize associated control on the intelligent household appliance currently accessed by the gateway layer of the Internet of things, and simultaneously obtaining an intelligent household appliance control result;
when the inquiry feedback instruction is a control instruction contained in the associated control inquiry instruction, the corresponding inquiry feedback instruction is reserved.
In this embodiment, the corresponding determination result is a result obtained by determining whether to trigger the association control query mechanism included in the corresponding personalized control association sub-feature.
The beneficial effects of the technology are as follows: based on all control instructions sent by the current user in the current control period, the monitoring trigger mechanism of each environmental information item and all control influence strategies, judging whether to trigger the associated control inquiry mechanism contained in the associated sub-feature of the corresponding personalized control in real time, selectively triggering the associated control inquiry mechanism based on a judgment result, and realizing the associated control on the intelligent household appliance currently accessed by the gateway layer of the Internet of things based on the acquired inquiry feedback instruction, further adding the step of inquiring the user before the execution of the associated control of the intelligent household appliance, improving the accuracy of the associated control, providing richer selection and more intelligent linkage control experience for the user, and further improving the intelligent degree of the intelligent household appliance control.
Example 9: the invention provides an intelligent household appliance control system based on the Internet of things, which is used for executing any one of the intelligent household appliance control methods based on the Internet of things in the embodiments 1 to 8, and referring to FIG. 2, the intelligent household appliance control system comprises:
The historical instruction acquisition module is used for acquiring all historical control instructions sent by the current user based on the intelligent home control system based on a gateway layer of the Internet of things;
the associated feature analysis module is used for analyzing the personalized control associated features of the current user based on all the historical control instructions and determining control influence environment information items and control influence strategies of each personalized control associated sub-feature in the personalized control associated features;
the trigger mechanism determining module is used for determining a monitoring trigger mechanism of each control influence environment information item based on the control influence environment information items corresponding to all the personalized control association sub-features;
and the intelligent association control module is used for acquiring an intelligent household appliance control result based on all control instructions sent by the current user in the current control period, a monitoring trigger mechanism of each control influence environment information item and all control influence strategies.
The beneficial effects of the technology are as follows: based on all historical control instructions input by a current user and acquired through the Internet of things, the characteristics of associated control of the user, namely the characteristics of personalized control association, are analyzed, a trigger mechanism and a control influence strategy for controlling an environmental information item are further determined, and then, by combining all control instructions which are acquired based on the Internet of things and are sent by the user in a current control period, intelligent associated control of intelligent household appliances accessed in a gateway layer of the Internet of things is realized, and by combining household appliance control with the Internet of things, information related to household appliance control habits of the current user is acquired, so that high-intelligent and multi-scene linkage pre-control of intelligent household appliances is realized, and the intelligent degree of intelligent household appliance control is improved.
Example 10: the invention provides an intelligent household appliance control device based on the Internet of things, which is applied to an intelligent household appliance control system based on the Internet of things in embodiment 9.
The beneficial effects of the technology are as follows: based on all historical control instructions input by a current user and acquired through the Internet of things, the characteristics of associated control of the user, namely the characteristics of personalized control association, are analyzed, a trigger mechanism and a control influence strategy for controlling an environmental information item are further determined, and then, by combining all control instructions which are acquired based on the Internet of things and are sent by the user in a current control period, intelligent associated control of intelligent household appliances accessed in a gateway layer of the Internet of things is realized, and by combining household appliance control with the Internet of things, information related to household appliance control habits of the current user is acquired, so that high-intelligent and multi-scene linkage pre-control of intelligent household appliances is realized, and the intelligent degree of intelligent household appliance control is improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (9)

1. The intelligent household appliance control method based on the Internet of things is characterized by comprising the following steps of:
s1: the gateway layer based on the Internet of things acquires all historical control instructions sent by a current user based on the intelligent home control system;
s2: analyzing the personalized control associated characteristics of the current user based on all the historical control instructions, and determining control influence environment information items and control influence strategies of each personalized control associated sub-characteristic in the personalized control associated characteristics;
s3: determining a monitoring trigger mechanism of each control influence environment information item based on the control influence environment information items corresponding to all the personalized control association sub-features;
s4: acquiring an intelligent household appliance control result based on all control instructions sent by a current user in a current control period, a monitoring trigger mechanism of each control influence environment information item and all control influence strategies;
wherein, step S2: analyzing the personalized control associated feature of the current user based on all the historical control instructions, and determining a control influence environment information item and a control influence strategy corresponding to each personalized control associated sub-feature in the personalized control associated feature, wherein the method comprises the following steps:
Performing multi-level function upper summarization on all the history control instructions of the current user to obtain the realization function of the history control instructions under each summarization level;
screening out historical control instruction groups with sending interval time within the associated control interval time period from all the historical control instructions, and determining an implementation function group of each historical control instruction group under each summarizing level;
determining a first occurrence frequency of each implementation function in all the history control instructions and a second occurrence frequency of each implementation function group in all the history control instruction groups;
calculating the co-occurrence rate of the implementation function group based on the first occurrence frequency and the second occurrence frequency;
taking all the realization function groups with the co-occurrence rate not smaller than the co-occurrence rate threshold as personalized control association features of the current user;
and determining the control influence environment information item and the control influence strategy of each personalized control associated sub-feature based on the realization function group corresponding to each personalized control associated sub-feature in the personalized control associated feature and the historical monitoring information of all environment information items.
2. The intelligent household appliance control method based on the internet of things according to claim 1, wherein S1: the gateway layer based on the Internet of things acquires all historical control instructions sent by a current user based on an intelligent home control system, and the method comprises the following steps:
Reading login terminal information of a current user in an intelligent home control system;
determining a gateway access channel corresponding to login terminal information at a gateway layer of the Internet of things;
and acquiring all the history control instructions received in the gateway access channel, and taking the history control instructions as all the history control instructions sent by the current user based on the intelligent home control system.
3. The internet of things-based intelligent home appliance control method according to claim 1, wherein determining the control influence environmental information item and the control influence policy of each personalized control association sub-feature based on the implementation function group corresponding to each personalized control association sub-feature in the personalized control association features and the history monitoring information of all environmental information items, comprises:
taking a history control instruction group corresponding to an implementation function group corresponding to each personalized control associated sub-feature in the personalized control associated feature as an instruction group to be associated, and determining analysis periods corresponding to all environment information items of each personalized control associated sub-feature based on the sending time of the history control instruction in the instruction group to be associated;
acquiring historical monitoring information of corresponding environmental information items in each analysis period based on a terminal layer of the Internet of things;
Carrying out commonality analysis on the historical monitoring information of each environmental information item in all analysis periods of each personalized control associated sub-feature, and determining that the environmental information item with the commonality feature is used as a control influence environmental information item corresponding to the personalized control associated sub-feature;
and determining a control influence strategy of the corresponding personalized control associated sub-feature based on the common feature and the implementation function group in the corresponding personalized control associated sub-feature.
4. The internet of things-based intelligent home appliance control method of claim 3, wherein performing a commonality analysis on historical monitoring information of each environmental information item in all analysis periods of each personalized control association sub-feature, determining that the environmental information item having the commonality feature is regarded as a control influence environmental information item of the corresponding personalized control association sub-feature, comprises:
analyzing a significant change data segment and a significant change time segment in the historical monitoring information of all analysis periods of each individual control associated sub-feature of each environmental information item;
calculating the commonality of all the significantly changed data segments of the same environmental information item;
calculating a first correlation coefficient between all significant change time periods of the same environmental information item and the sending time of a starting historical control instruction in a corresponding to-be-associated instruction group of the personalized control associated sub-feature;
Judging whether the corresponding environmental information items have common characteristics or not based on the corresponding commonality of the same environmental information items and the first correlation coefficient, if so, regarding the corresponding environmental information items as control influence environmental information items of corresponding personalized control associated sub-characteristics, and determining the common characteristics of the corresponding environmental information items based on all significant change data segments of the corresponding environmental information items in the corresponding personalized control associated sub-characteristics;
otherwise, the corresponding judging result is reserved.
5. The internet of things-based intelligent home appliance control method of claim 4, wherein determining the common characteristic of the corresponding environmental information item based on all significantly changed data segments of the corresponding environmental information item in the corresponding personalized control association sub-characteristic comprises:
calculating the coincidence degree between each significant change data segment and the corresponding environmental information item in all the significant change data segments corresponding to the personalized control associated sub-feature, wherein the significant change data segments are remained except the significant change data segment calculated currently;
deleting the significant change data segments with the coincidence degree not exceeding the coincidence degree threshold value, and continuously calculating the coincidence degree between each significant change time segment remaining after deletion and the significant change data segments remaining after deletion in all the significant change data segments of the corresponding personalized control associated sub-feature except the significant change data segment currently calculated;
And deleting the significant change data segments with the coincidence degree not exceeding the coincidence degree threshold value until the coincidence degree between the significant change data segments with the coincidence degree not exceeding the coincidence degree threshold value in all the significant change data segments with the coincidence degree exceeding the coincidence degree threshold value, wherein the coincidence part data segments of all the significant change data segments with the coincidence degree corresponding to the environmental information item in the current corresponding personalized control associated sub-feature are regarded as the common feature of the corresponding environmental information item.
6. The intelligent household appliance control method based on the internet of things according to claim 1, wherein S3: based on the control influence environment information items corresponding to all the personalized control association sub-features, determining a monitoring trigger mechanism of each control influence environment information item, including:
determining an initial implementation function and an associated implementation function of an implementation function group in the personalized control sub-feature;
and taking a control instruction which is sent by the current user and has the consistent implementation function with the initial implementation function as a monitoring trigger mechanism of the control influence environment information item corresponding to the personalized control sub-feature.
7. The intelligent household appliance control method based on the internet of things according to claim 1, wherein S4: based on all control instructions sent by the current user in the current control period, a monitoring trigger mechanism of each control influence environment information item and all control influence strategies, obtaining an intelligent household appliance control result, wherein the intelligent household appliance control result comprises the following steps:
based on all control instructions sent by the current user in the current control period, the monitoring trigger mechanism of each environmental information item and all control influence strategies, judging whether to trigger the associated control inquiry mechanism contained in the corresponding personalized control associated sub-feature in real time, if so, sending the associated control inquiry instruction to a login terminal accessed by the current user in a gateway layer of the Internet of things, and receiving the corresponding inquiry feedback instruction;
based on the inquiry feedback instruction, performing associated control on intelligent household appliances currently accessed by a gateway layer of the Internet of things to obtain an intelligent household appliance control result;
otherwise, the corresponding judgment result is reserved.
8. An intelligent household appliance control system based on the internet of things, which is characterized by being used for executing the intelligent household appliance control method based on the internet of things as claimed in any one of claims 1 to 7, and comprising the following steps:
The historical instruction acquisition module is used for acquiring all historical control instructions sent by the current user based on the intelligent home control system based on a gateway layer of the Internet of things;
the associated feature analysis module is used for analyzing the personalized control associated features of the current user based on all the historical control instructions and determining control influence environment information items and control influence strategies of each personalized control associated sub-feature in the personalized control associated features;
the trigger mechanism determining module is used for determining a monitoring trigger mechanism of each control influence environment information item based on the control influence environment information items corresponding to all the personalized control association sub-features;
and the intelligent association control module is used for acquiring an intelligent household appliance control result based on all control instructions sent by the current user in the current control period, a monitoring trigger mechanism of each control influence environment information item and all control influence strategies.
9. An intelligent household electrical appliance control device based on the internet of things is characterized by being applied to the intelligent household electrical appliance control system based on the internet of things as claimed in claim 8.
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CN116027678A (en) * 2023-02-09 2023-04-28 合肥欧蒂尼家居有限公司 Intelligent household intelligent regulation control method and system

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