CN113703337B

CN113703337B - Household appliance control method and system based on Internet of things and storage medium

Info

Publication number: CN113703337B
Application number: CN202111263989.1A
Authority: CN
Inventors: 方镇; 张默晗
Original assignee: Shenzhen Beiding Jinghui Technology Co ltd
Current assignee: Shenzhen Beiding Jinghui Technology Co ltd
Priority date: 2021-10-28
Filing date: 2021-10-28
Publication date: 2022-02-08
Anticipated expiration: 2041-10-28
Also published as: CN113703337A

Abstract

The invention discloses a household appliance control method, a household appliance control system and a storage medium based on the Internet of things, and relates to the technical field of intelligent control, wherein the household appliance control method comprises the following steps: acquiring route information of a target user returning to a living position, and acquiring the travel time of the user according to the route information and the traffic mode of the target user; acquiring body monitoring information and hospitalizing information of a target user within preset time to generate body condition information of the target user; establishing a management planning model based on a neural network, importing the route information and the travel time into the management planning model according to the calculation of the management planning model, and determining the starting time of the intelligent household appliance; meanwhile, the running state of the intelligent household appliance is displayed in a preset mode, and the running time of the household appliance is adjusted through feedback information of a user; the invention provides a personalized household appliance control method for the user on the basis of the user habit, and improves the intellectualization of the household appliance.

Description

Household appliance control method and system based on Internet of things and storage medium

Technical Field

The invention relates to the technical field of intelligent control, in particular to a household appliance control method and system based on the Internet of things and a storage medium.

Background

With the increasing development of science and technology, the technology of internet of things as one of leading-edge technology representatives with great influence brings new challenges and opportunities to the traditional industries in various fields, wherein intelligent household appliances gradually become the focus of industry transformation in the traditional household appliance industry, and also gradually show great commercial value and potential in the market. However, as more and more intelligent home appliances are brought into the family life of people, the problems of the intelligent home appliances in the using process are gradually exposed, the user experience is low due to the complexity of functions and the unreasonable interaction mode, and once most home appliance devices are set, the starting time and the operation mode cannot be changed according to the needs of users, so that the waste of used resources is caused. It is impossible to provide a personalized home appliance control method for a user.

In order to realize the intelligent control of the household appliance, a system needs to be developed to be matched with the household appliance, and the system is realized by acquiring the travel time of a target user returning to a living position and the physical condition information of the target user; setting the temperature of the intelligent air conditioner according to the physical condition information of the target user, identifying the existing food materials through an intelligent refrigerator to generate recipe recommendation information, establishing a management planning model based on a neural network, importing the travel time into the management planning model, determining the starting time of the intelligent household appliance, displaying the running state of the household appliance in a preset mode, and adjusting the running time of the household appliance through feedback information of the user. In the implementation process of the system, how to intelligently control the household electrical appliance based on the travel time and the physical condition information of the user is an urgent problem which needs to be solved.

Disclosure of Invention

In order to solve at least one technical problem, the invention provides a household appliance control method, a household appliance control system and a storage medium based on the internet of things.

The invention provides a household appliance control method based on the Internet of things, which comprises the following steps:

acquiring route information of a target user returning to a living position, and acquiring the travel time of the user according to the route information and the traffic mode of the target user;

acquiring body monitoring information and hospitalizing information of a target user within preset time to generate body condition information of the target user;

setting the temperature of an intelligent air conditioner according to the physical condition information of the target user, and identifying the existing food materials by an intelligent refrigerator and generating recipe recommendation information by combining the physical condition information of the target user;

establishing a management planning model based on a neural network, importing the route information and the travel time into the management planning model according to the management planning model, and determining the starting time of the intelligent air conditioner and the intelligent electric cooker and the starting unfreezing time of part of food materials in the intelligent refrigerator;

meanwhile, the running state of the intelligent household appliance is displayed in a preset mode, and the running time of the household appliance is adjusted through feedback information of a user;

the intelligent household appliance is one or more of an intelligent air conditioner, an intelligent refrigerator, an intelligent television, an intelligent lamp and an intelligent electric cooker.

In this scheme, the acquiring of the body monitoring information and the hospitalizing information of the target user within the preset time to generate the body condition information of the target user specifically includes:

acquiring body monitoring information of a user through intelligent wearable equipment, performing data feature extraction on the body monitoring data, comparing the data with a preset reference range, and generating a comparison result;

and analyzing the comparison result and the medical information of the user to generate physical condition information of the target user, and generating diet and exercise suggestions according to the physical condition information.

The body monitoring information comprises electrocardio information, blood pressure information, temperature information, pulse information and activity state information.

In this scheme, the management planning model is established based on neural network, and route information and travel time are imported into the management planning model, and the opening time of intelligent air conditioner and intelligent electric rice cooker is confirmed to reach the time of starting to unfreeze some food materials in the intelligent refrigerator, specifically:

establishing a management planning model based on a neural network, initializing model parameters, and performing model training according to historical operation information of a user;

importing route information and travel time of a user into the management planning model, and generating a household appliance execution strategy according with user habits by the management planning model according to the distance from a target user to a living position and the combination of the requirement of the target user in a historical time period and the current physical condition information;

acquiring current room temperature information, and calculating the time required for reaching a target room temperature in the house space according to the current room temperature information;

determining the taste and the sugar content of the rice according to the habit and the physical condition information of a target user, determining heating curve information according to the taste and the sugar content, reading cooking time according to the heating curve information, and setting heat preservation time and cooling time according to the eating habit of the user;

the recipe recommendation information is sent to user terminal equipment according to a preset mode, recipe information selected by a user is fed back to an intelligent refrigerator, and the intelligent refrigerator calculates unfreezing time of part of food materials;

according to the required running time of each household appliance, priority ranking is carried out according to the length of the required running time, and the longer the required running time is, the higher the priority is;

and according to the sequence of the priority from high to low, the intelligent household appliance is started to operate before the target user arrives at home through the management planning model.

In the scheme, when the route information of the target user is temporarily changed, the intelligent household appliance is adjusted through the management planning model, and the method specifically comprises the following steps:

obtaining route information of a target object after being changed, and updating the travel time according to the route information after being changed;

acquiring a priority sequence, judging whether a target intelligent household appliance in the priority sequence is in an open state or not, and if the target intelligent household appliance is in the open state, cancelling the standby state of the equipment with the priority behind the target intelligent household appliance;

carrying out intelligent frequency reduction on the intelligent air conditioner in the starting state, and changing the operation mode; carrying out self-adaptive adjustment on the cooking stage of the intelligent electric cooker in the open state, and prolonging the time of the cooking stage and the heat preservation stage; the intelligent refrigerator in the unfreezing state is controlled by temperature to prolong the unfreezing time;

and simultaneously, the updated travel time is reintroduced into the management planning model, the starting time of the intelligent household appliance is re-determined, and priority ranking is performed again on the basis of the started household appliance.

In this scheme, show the running state of tame electric installation through the default mode, adjust tame electric installation operating duration through user's feedback information, specifically do:

establishing an operation database of the household appliance, wherein the operation database combines the operation habits and requirements of users and the operation state of the household appliance to generate a time sequence for storage;

comparing the monitoring data with original data in an operation database within a preset time interval to generate a deviation rate;

when the deviation between the monitoring data and the original data is large, updating and training the management planning model according to a time sequence in preset time;

meanwhile, acquiring the advanced operation time and the operation state of the intelligent household appliance from the operation database, and acquiring the power consumption information of the household appliance in the advanced operation time period according to the advanced operation time and the operation state;

and sending the running time, the running state and the power consumption condition in advance to a target user for displaying according to a preset mode, acquiring feedback information of the target user, and adjusting the switching condition and the running time of the household appliance according to the feedback information.

In this scheme, still include: the target user sets up the interpolation to intelligent household electrical appliances according to the demand of oneself, specifically does:

verifying the identity information of the target user, and generating new item information according to the name of the new intelligent household appliance and a preset model when the management planning model receives an equipment adding request;

importing the project newly-added information into a management planning model, and calling the operation data of the newly-added intelligent household appliance in the operation database and the operation habits of users to train the management planning model;

carrying out reliability verification on a management planning model after the intelligent household appliance is newly added, and generating a reliability coefficient according to the reliability verification;

presetting a reliability coefficient threshold value, and judging whether the reliability coefficient is greater than the reliability coefficient threshold value;

if the number of the added equipment is larger than the preset number, the fact that the equipment is added to the management planning model is proved to be finished, and the newly added equipment can be operated in advance according to the habit requirements of the user.

The second aspect of the present invention further provides an internet of things-based home appliance control system, which includes: the household appliance control method based on the Internet of things comprises a memory and a processor, wherein the memory comprises a household appliance control method program based on the Internet of things, and the household appliance control method program based on the Internet of things realizes the following steps when being executed by the processor:

The third aspect of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a program of a method for controlling an electric appliance based on the internet of things, and when the program of the method for controlling an electric appliance based on the internet of things is executed by a processor, the steps of the method for controlling an electric appliance based on the internet of things are implemented.

Drawings

Fig. 1 is a flow chart illustrating a home appliance control method based on the internet of things according to the present invention;

fig. 2 is a flowchart illustrating a method for determining the turn-on time of an intelligent household appliance by establishing a management planning model according to the present invention;

FIG. 3 is a flowchart illustrating a method for adjusting the running time of an electrical home appliance according to the present invention by feeding back information from a target user;

fig. 4 is a block diagram illustrating an internet of things-based home appliance control system according to the present invention.

Detailed Description

In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.

Fig. 1 shows a flowchart of a home appliance control method based on the internet of things according to the present invention.

As shown in fig. 1, a first aspect of the present invention provides a method for controlling an electric home appliance based on an internet of things, including:

s102, obtaining route information of a target user returning to a living position, and obtaining travel time of the user according to the route information and the traffic mode of the target user;

s104, acquiring body monitoring information and hospitalizing information of the target user within preset time to generate body condition information of the target user;

s106, setting the intelligent air conditioner temperature according to the physical condition information of the target user, and identifying the existing food materials by the intelligent refrigerator and generating recipe recommendation information by combining the physical condition information of the target user;

s108, establishing a management planning model based on a neural network, importing the route information and the travel time into the management planning model according to the management planning model, and determining the starting time of the intelligent air conditioner and the intelligent electric cooker and the starting unfreezing time of part of food materials in the intelligent refrigerator;

s110, simultaneously displaying the running state of the intelligent household appliance in a preset mode, and adjusting the running time of the household appliance through feedback information of a user;

It should be noted that, the acquiring of the body monitoring information and the medical information within the preset time of the target user to generate the body condition information of the target user specifically includes:

It should be noted that a distance range is preset, a distance threshold is determined according to the distance range, distance judgment is performed through the terminal device of the target user, when the position of the terminal device and the living position is smaller than the preset distance threshold, the staying time of the target object in the preset distance range is judged, and when the staying time is larger than the preset time threshold, the intelligent lamp in the house is turned on.

Fig. 2 is a flowchart illustrating a method for determining the turn-on time of an intelligent household appliance by establishing a management planning model according to the present invention.

According to the embodiment of the invention, the neural network-based management planning model is established, the route information and the travel time are imported into the management planning model, and the starting time of the intelligent air conditioner and the intelligent electric cooker and the time for starting to unfreeze part of food materials in the intelligent refrigerator are determined, specifically:

s202, establishing a management planning model based on a neural network, initializing model parameters, and performing model training according to historical operation information of a user;

s204, importing the route information and the travel time of the user into the management planning model, and generating a household appliance execution strategy according with the habit of the user by the management planning model according to the distance from the target user to the living position and the combination of the historical time period requirement of the target user and the current physical condition information;

s206, obtaining current room temperature information, and calculating the time required for reaching the target room temperature in the house space according to the current room temperature information;

s208, determining the taste and the sugar content of the rice according to the habit and the physical condition information of a target user, determining heating curve information according to the taste and the sugar content, reading cooking time according to the heating curve information, and setting heat preservation time and cooling time according to the eating habit of the user;

s210, the recipe recommendation information is sent to user terminal equipment according to a preset mode, the recipe information selected by a user is fed back to an intelligent refrigerator, and the intelligent refrigerator calculates the unfreezing time of part of food materials;

s212, according to the required running time of each household appliance, carrying out priority sequencing according to the length of the required running time, wherein the longer the required running time is, the higher the priority is;

and S214, according to the sequence of the priority from high to low, the intelligent household appliance is started to operate before the target user arrives at home through the management planning model.

It should be noted that the time required to reach the target room temperature is calculated according to the current room temperature and the power of the intelligent air conditioner:

wherein the content of the first and second substances,

which represents the time required to reach the target room temperature,

which represents the specific heat capacity of air,

the volume of the room space is represented,

which represents the target room temperature, is,

which indicates the current room temperature, is,

indicating the power of the smart air conditioner.

It should be noted that, when the route information of the target user is temporarily changed, the intelligent household electrical appliance is adjusted by the management planning model, specifically:

Fig. 3 is a flowchart illustrating a method for adjusting the runtime of an electrical home device according to the present invention by using feedback information of a target user.

According to the embodiment of the present invention, the displaying the running state of the home appliance in a preset manner, and adjusting the running time of the home appliance through the feedback information of the user specifically include:

s302, establishing an operation database of the household appliance, wherein the operation database combines the operation habits and requirements of the user and the operation state of the household appliance to generate a time sequence for storage;

s304, comparing the monitoring data with the original data in the operation database within a preset time interval to generate a deviation rate;

s306, when the deviation between the monitoring data and the original data is large, updating and training the management planning model according to a time sequence in preset time;

s308, acquiring the advanced running time and running state of the intelligent household appliance from the running database, and acquiring the power consumption information of the household appliance in the advanced running time period according to the advanced running time and running state;

and S310, sending the running time, the running state and the power consumption condition in advance to a target user for displaying according to a preset mode, acquiring feedback information of the target user, and adjusting the switching condition and the running time of the household appliance according to the feedback information.

It should be noted that the method further includes: the target user sets up the interpolation to intelligent household electrical appliances according to the demand of oneself, specifically does:

According to the embodiment of the invention, the method further comprises the steps of identifying the hand action of the target user through the wearable device of the target user, and controlling the intelligent household appliance according to the hand action, wherein the steps are as follows:

acquiring a hand motion track of a target object, decomposing the motion track, and extracting motion characteristics according to the decomposed motion track;

acquiring preset area information of a house where a target object is located;

acquiring behavior and action information of a target object in a historical synchronization time period, and matching and identifying the motion characteristics and the behavior and action information;

the method comprises the steps that the corresponding behavior of a target user is identified according to preset area information and behavior action information of the target user, a corresponding household appliance operation instruction is made, a confirmation request is sent to the user, and confirmation feedback of the user is received;

and determining whether the household appliance performs corresponding operation according to the feedback information of the user.

According to the embodiment of the invention, the management planning model acquires express information to be taken by a target user, and determines the opening time of part of intelligent household appliances according to the express information to be taken, specifically:

acquiring identity information through a mobile phone or an intelligent bracelet of a target user, generating an identity according to the identity information, and acquiring express delivery information corresponding to the target user from a express delivery information base through the identity;

acquiring historical pickup information of a target user, acquiring pickup time information of the target user according to the historical pickup information, and calculating a time difference between the time when the target user reaches a preset position and pickup time according to the pickup time information of the target user;

analyzing pickup habits of the users according to the time difference, if the pickup habits of the target users are that the express is picked up firstly, sending pickup prompts to the users by the management planning model in a preset mode when the target users reach preset positions, and calculating pickup time of the target users;

adding the time required by the target user to pick up the parts to the travel time of the target user, and determining the starting time of the intelligent household appliance through the travel time;

and if the pickup habit of the target user is to take the express delivery by using the idle time before returning home, the management planning model acquires the state information of the target user through the intelligent wearable equipment of the target user, and if the target user is judged to be in the idle state, a pickup prompt is sent to the target user in a preset mode.

It should be noted that the target user may add the family express delivery status information, verify the identity information of the target user, obtain the mobile phone number of the family added by the target user, send verification information to the family through the mobile phone number of the family, if the verification is passed, obtain the face or fingerprint information in the intelligent door lock for personal verification, if the face or fingerprint information is matched with the family to which the application is added, the addition is successful, and the target user may receive the express delivery prompt information to be obtained by the family.

According to the embodiment of the invention, the environment temperature in the vehicle taken by the target user is obtained through the intelligent wearable device of the target user, and is sent to the management planning model to make corresponding temperature adjustment, specifically:

acquiring the ambient temperature in a vehicle taken by a target user through intelligent wearable equipment of the target user, and analyzing and acquiring the number information of the people coming home according to feedback data;

determining a walking route of a target user according to a vehicle taken by the target user and express information to be taken of the target user, acquiring outdoor activity time of the user according to the walking route, and acquiring activity of the target user according to express carrying information and the activity time;

judging the activity level of the activity according to the corresponding relation between the activity and the activity level, and performing self-adaptive adjustment on the air supply quantity and the temperature of the intelligent air conditioner according to the environment temperature and the activity level in the vehicle;

and judging the home returning sequence of different users according to the home returning number information, judging whether to perform adaptive adjustment on the indoor temperature according to the somatosensory temperature information of the different users, and performing adaptive adjustment on the indoor temperature through the intelligent air conditioner if the somatosensory temperature difference of the different users is larger than a preset threshold value.

The second aspect of the present invention also provides an internet of things-based home appliance control system 4, which includes: the internet-of-things-based household appliance control method comprises a memory 41 and a processor 42, wherein the memory comprises a household appliance control method program based on the internet of things, and when the household appliance control method program based on the internet of things is executed by the processor, the following steps are realized:

wherein the content of the first and second substances,

which represents the time required to reach the target room temperature,

which represents the specific heat capacity of air,

the volume of the room space is represented,

which represents the target room temperature, is,

which indicates the current room temperature, is,

indicating the power of the smart air conditioner.

acquiring preset area information of a house where a target object is located;

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims

1. A household appliance control method based on the Internet of things is characterized by comprising the following steps:

the method is characterized in that a management planning model is established based on a neural network, the route information and the travel time are imported into the management planning model, the starting time of the intelligent air conditioner and the intelligent electric cooker and the starting unfreezing time of part of food materials in the intelligent refrigerator are determined, and the method specifically comprises the following steps:

according to the sequence of the priority from high to low, the intelligent household appliance is started to operate before the target user arrives at home through a management planning model;

the management planning model acquires express information to be taken by a target user, and determines the opening time of part of intelligent household appliances according to the express information to be taken, and specifically comprises the following steps:

if the pickup habit of the target user is to take express delivery by using idle time before returning home, the management planning model acquires the state information of the target user through intelligent wearable equipment of the target user, and if the target user is judged to be in an idle state, a pickup prompt is sent to the target user in a preset mode;

2. The method for controlling household appliances based on the internet of things as claimed in claim 1, wherein the obtaining of the body monitoring information and the hospitalizing information of the target user within a preset time period generates the body condition information of the target user, specifically:

analyzing the comparison result and the medical information of the user to generate physical condition information of the target user, and generating diet and exercise suggestions according to the physical condition information;

3. The internet of things-based household appliance control method according to claim 1, wherein when the route information of the target user is temporarily changed, the intelligent household appliance is adjusted through the management planning model, and specifically:

4. The method for controlling household appliances based on the internet of things according to claim 1, wherein the operation state of the household appliances is displayed in a preset manner, and the operation time of the household appliances is adjusted through feedback information of a user, specifically:

5. The method for controlling the household appliances based on the internet of things as claimed in claim 1, further comprising: the target user sets up the interpolation to intelligent household electrical appliances according to the demand of oneself, specifically does:

6. The utility model provides a household electrical appliances control system based on thing networking which characterized in that, this system includes: the household appliance control method based on the Internet of things comprises a memory and a processor, wherein the memory comprises a household appliance control method program based on the Internet of things, and the household appliance control method program based on the Internet of things realizes the following steps when being executed by the processor:

7. The internet of things-based household appliance control system according to claim 6, wherein the running state of the household appliance is displayed in a preset mode, and the running time of the household appliance is adjusted through feedback information of a user, specifically:

8. A computer-readable storage medium, wherein the computer-readable storage medium includes a program of a method for controlling an internet-of-things-based home appliance, and when the program of the method for controlling an internet-of-things-based home appliance is executed by a processor, the method for controlling an internet-of-things-based home appliance according to any one of claims 1 to 5 is implemented.