阅读说明：本技术 应用于智慧门垫的智能家居控制方法和智慧门垫 (Intelligent home control method applied to intelligent doormat and intelligent doormat ) 是由 才智 高秋英 于 2020-04-26 设计创作，主要内容包括：本发明实施例提供一种应用于智慧门垫的智能家居控制方法和智慧门垫,该方法包括：当检测到有人站在智慧门垫上时,采集待测用户的特征信息；根据所述特征信息,获取所述待测用户的习惯操作信息；根据所述习惯操作信息,控制相应智能家居设备工作。本发明实施例提供的方法丰富了智慧门垫的功能,为用户的生活提供了更多的便利服务。(The embodiment of the invention provides an intelligent home control method applied to an intelligent doormat and the intelligent doormat, wherein the method comprises the following steps: when a person is detected to stand on the intelligent door mat, collecting characteristic information of a user to be detected; acquiring habit operation information of the user to be tested according to the characteristic information; and controlling the corresponding intelligent household equipment to work according to the habit operation information. The method provided by the embodiment of the invention enriches the functions of the intelligent doormat and provides more convenient services for the life of a user.)

1. The utility model provides an intelligent house control method for wisdom doormat which characterized in that includes:

when a person is detected to stand on the intelligent door mat, collecting characteristic information of a user to be detected;

acquiring habit operation information of the user to be tested according to the characteristic information;

and controlling the corresponding intelligent household equipment to work according to the habit operation information.

2. The method of claim 1, wherein the characteristic information includes shoe size and sole pressure of the user under test; the determining the habit operation information of the user to be tested according to the characteristic information comprises the following steps:

and inputting the shoe size and the sole pressure serving as input quantities into a neural network model obtained by pre-training to obtain habit operation information corresponding to the user to be detected and output by the neural network model.

3. The method of claim 1, further comprising:

judging whether the user to be detected is a stranger or not according to the characteristic information;

if the judgment result is yes, prompt information is generated and sent to the client to prompt the user.

4. The method according to claim 3, wherein the determining whether the user to be tested is a stranger according to the feature information comprises:

judging whether identity information corresponding to the feature information exists or not according to the corresponding relation between the pre-stored feature information and the identity information;

and if the judgment result is negative, determining that the user to be detected is a stranger.

5. The method according to any one of claims 2-4, further comprising:

acquiring identity information, characteristic information and habit operation information of a user;

and inputting the identity information, the characteristic information and the habit operation information into a neural network as training samples for training to obtain a trained neural network model.

6. The method of claim 1, wherein the characteristic information includes shoe size and sole pressure of the user under test; the determining the habit operation information of the user to be tested according to the characteristic information comprises the following steps:

according to a first pre-stored corresponding relation, identity information corresponding to the shoe size and the sole pressure is determined;

and acquiring the habit operation information corresponding to the identity information according to a second corresponding relation stored in advance.

7. The method of claim 6, further comprising:

acquiring identity information, characteristic information and habit operation information of a user;

and updating the first corresponding relation and the second corresponding relation according to the identity information, the characteristic information and the habit operation information.

8. An intelligent doormat, comprising: the device comprises a bottom pad, a top pad, a sensor array arranged between the bottom pad and the top pad, and a processor connected with the sensor array;

the sensor array is to: when a person is detected to stand on the intelligent door mat, collecting characteristic information of a user to be detected;

the processor is configured to: acquiring habit operation information of the user to be tested according to the characteristic information; and controlling the corresponding intelligent household equipment to work according to the habit operation information.

9. An intelligent doormat, comprising:

the acquisition module is used for acquiring the characteristic information of the user to be detected when a person is detected to stand on the intelligent door mat;

the processing module is used for determining the habit operation information of the user to be tested according to the characteristic information;

and the control module is used for controlling the corresponding intelligent household equipment to work according to the habit operation information.

10. A computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when a processor executes the computer-executable instructions, the method for controlling smart home applied to a smart doormat according to any one of claims 1 to 7 is implemented.

Technical Field

The invention belongs to the technical field of intelligent home control, and particularly relates to an intelligent home control method applied to an intelligent doormat and the intelligent doormat.

Background

With the advent of the intelligent era, more and more household articles begin to develop towards the intelligent direction, and intelligent household appliances and net wares emerge endlessly, such as intelligent curtains, intelligent toilets, intelligent electric cookers and the like.

The door mat is a necessary article for families, and is a product which can effectively scrape mud and dust and moisture on soles at doorways and keep indoor floors clean.

However, the door mat in the prior art only has the functions of dust removal, water absorption, skid resistance and the like, and the intelligent degree is low.

Disclosure of Invention

In order to solve the problems in the prior art, the invention provides an intelligent home control method applied to an intelligent door mat and the intelligent door mat, wherein when a person is detected to stand on the intelligent door mat, the characteristic information of the user to be detected is collected; acquiring habit operation information of the user to be tested according to the characteristic information; according to habit operation information, the work of corresponding intelligent household equipment is controlled to richen the function of wisdom doormat, provide more convenient service for user's life.

The first aspect of the embodiment of the invention provides an intelligent home control method applied to an intelligent doormat, which comprises the following steps: when a person is detected to stand on the intelligent door mat, collecting characteristic information of a user to be detected; acquiring habit operation information of the user to be tested according to the characteristic information; and controlling the corresponding intelligent household equipment to work according to the habit operation information.

Optionally, the characteristic information includes a shoe size and a sole pressure of the user to be tested; the determining the habit operation information of the user to be tested according to the characteristic information comprises the following steps: and inputting the shoe size and the sole pressure serving as input quantities into a neural network model obtained by pre-training to obtain habit operation information corresponding to the user to be detected and output by the neural network model.

Optionally, the method further comprises: judging whether the user to be detected is a stranger or not according to the characteristic information; if the judgment result is yes, prompt information is generated and sent to the client to prompt the user.

Optionally, the determining whether the user to be detected is a stranger according to the feature information includes: judging whether identity information corresponding to the feature information exists or not according to the corresponding relation between the pre-stored feature information and the identity information; and if the judgment result is negative, determining that the user to be detected is a stranger.

Optionally, the method further comprises: acquiring identity information, characteristic information and habit operation information of a user; and inputting the identity information, the characteristic information and the habit operation information into a neural network as training samples for training to obtain a trained neural network model.

Optionally, the characteristic information includes a shoe size and a sole pressure of the user to be tested; the determining the habit operation information of the user to be tested according to the characteristic information comprises the following steps: according to a first pre-stored corresponding relation, identity information corresponding to the shoe size and the sole pressure is determined; and acquiring the habit operation information corresponding to the identity information according to a second corresponding relation stored in advance.

Optionally, the method further comprises: acquiring identity information, characteristic information and habit operation information of a user; and updating the first corresponding relation and the second corresponding relation according to the identity information, the characteristic information and the habit operation information.

A second aspect of an embodiment of the present invention provides an intelligent doormat, including: the device comprises a bottom pad, a top pad, a sensor array arranged between the bottom pad and the top pad, and a processor connected with the sensor array; the sensor array is to: when a person is detected to stand on the intelligent door mat, collecting characteristic information of a user to be detected; the processor is configured to: acquiring habit operation information of the user to be tested according to the characteristic information; and controlling the corresponding intelligent household equipment to work according to the habit operation information.

A third aspect of an embodiment of the present invention provides an intelligent doormat, including: the acquisition module is used for acquiring the characteristic information of the user to be detected when a person is detected to stand on the intelligent door mat; the processing module is used for determining the habit operation information of the user to be tested according to the characteristic information; and the control module is used for controlling the corresponding intelligent household equipment to work according to the habit operation information.

A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium, where a computer executing instruction is stored in the computer-readable storage medium, and when a processor executes the computer executing instruction, the method for controlling smart home applied to a smart door mat according to the first aspect of the embodiments of the present invention is implemented

The intelligent home control method applied to the intelligent doormat and the intelligent doormat are characterized in that when a person is detected to stand on the intelligent doormat, characteristic information of the user to be detected is collected; acquiring habit operation information of the user to be tested according to the characteristic information; according to habit operation information, the work of corresponding intelligent household equipment is controlled to richen the function of wisdom doormat, provide more convenient service for user's life.

Drawings

The preferred embodiments of the smart home control method and the smart doormat applied to the smart doormat according to the present invention will be described below with reference to the accompanying drawings. The attached drawings are as follows:

fig. 1 is a diagram illustrating an application scenario of an intelligent home control method applied to a smart doormat according to an exemplary embodiment of the present invention;

fig. 2 is a flowchart illustrating a smart home control method applied to a smart door mat according to an exemplary embodiment of the present invention;

fig. 3 is a flowchart illustrating a smart home control method applied to a smart door mat according to another exemplary embodiment of the present invention;

fig. 4 is a flowchart illustrating a smart home control method applied to a smart door mat according to another exemplary embodiment of the present invention;

FIG. 5 is a schematic view of a smart doormat according to an exemplary embodiment of the present invention;

FIG. 6 is a schematic view of a smart doormat according to an exemplary embodiment of the present invention;

fig. 7 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

With the advent of the intelligent era, more and more household articles begin to develop towards the intelligent direction, and intelligent household appliances and net wares emerge in a large number, such as intelligent curtains, intelligent toilets, intelligent electric cookers and the like. The door mat is a necessary article for families, and is a product which can effectively scrape mud and dust and moisture on soles at doorways and keep indoor floors clean. However, the door mat in the prior art only has the functions of dust removal, water absorption, skid resistance and the like, and the intelligent degree is low.

Aiming at the defect, the technical scheme of the invention mainly comprises the following steps: when the situation that a person stands on the intelligent door mat is detected, collecting characteristic information of a user to be detected; acquiring habit operation information of the user to be tested according to the characteristic information; according to habit operation information, the work of corresponding intelligent household equipment is controlled to richen the function of wisdom doormat, provide more convenient service for user's life.

The following describes a smart home control method applied to the smart doormat and a preferred technical scheme of the smart doormat in the present invention with reference to the above drawings.

Fig. 1 is a diagram illustrating an application scenario of an intelligent home control method applied to a smart doormat according to an exemplary embodiment of the present invention.

As shown in fig. 1, the basic architecture of the method application scenario diagram provided by this embodiment mainly includes: the intelligent household intelligent door mat comprises an intelligent door mat 101 and various intelligent household devices 102, wherein the intelligent household devices can be intelligent lamps, intelligent curtains, intelligent air conditioners, televisions and the like.

Fig. 2 is a flowchart illustrating a smart home control method applied to a smart doormat according to an exemplary embodiment of the present invention, where an execution subject of the method provided in this embodiment is the smart doormat in the embodiment illustrated in fig. 1.

As shown in fig. 2, the method provided by the present embodiment may include the following steps.

S201, when detecting that a person stands on the intelligent door mat, collecting characteristic information of a user to be detected.

Specifically, the intelligent door mat monitors whether a person stands on the intelligent door mat in real time, and collects characteristic information when the situation that the person stands is monitored.

For example, the pressure sensor is used for acquiring the sole pressure of the user to be measured when the user stands on the intelligent door mat, and the sole pressure generated when the user stands on the intelligent door mat is different due to the fact that different people have different weights and different sizes of feet.

S202, acquiring the habit operation information of the user to be tested according to the characteristic information.

Specifically, the habitual operation behaviors generated after different people enter the room are different, for example, a man owner enters the room to habit of opening the hall lamp, then changing shoes, then closing the hall lamp, opening the hall lamp and turning on a television; and the female owner enters the room to directly turn on the hall lamp, then change shoes and then pull up the curtain. Therefore, after the characteristic information of the user to be detected is acquired, the past habit operation information of the user is directly acquired. In some embodiments, the habit operation information of the user can be acquired in advance.

And S203, controlling the corresponding intelligent household equipment to work according to the habit operation information.

Specifically, after the intelligent door mat obtains the habit operation information of the user to be detected, the intelligent door mat automatically controls the corresponding intelligent household equipment to work in sequence according to the habit operation information.

For example, after the intelligent doormat acquires the characteristic information, it is determined that the user to be tested is the owner, and the habit operation information of the owner is as follows: opening hall lamps, then changing shoes, then closing the hall lamps, opening the hall lamps and turning on a television; then the intelligent doormat can automatically turn on the hall lamp according to the sequence, and after detecting that the shoe replacement of the man owner is completed, the hall lamp, the living room lamp and the television are sequentially turned off, and the process does not need manual operation of a user.

In the embodiment, when the situation that a person stands on the intelligent door mat is detected, the characteristic information of the user to be detected is collected; acquiring habit operation information of the user to be tested according to the characteristic information; according to habit operation information, the work of corresponding intelligent household equipment is controlled to richen the function of wisdom doormat, provide more convenient service for user's life.

Fig. 3 is a flowchart illustrating a smart home control method applied to a smart doormat according to another exemplary embodiment of the present invention, and this embodiment further describes in detail the smart home control method applied to the smart doormat based on the embodiment illustrated in fig. 2.

As shown in fig. 3, the method provided by the present embodiment may include the following steps.

S301, collecting identity information, characteristic information and habit operation information of the user.

Specifically, before the intelligent doormat is formally used, identity information, characteristic information and habit operation information of a user who lives at home can be collected in advance, wherein the identity information can be but is not limited to sex, name, mobile phone number, mailbox and the like of the user; the characteristic information comprises but is not limited to the sizes of all shoes of the user, sole pressure generated when the user stands on the intelligent door mat and the like; the habitual operation information comprises a series of operation behavior sequences after a user enters a room within a period of time, for example, the habitual operation information after the user enters the room within ten days is collected (for example, after the user enters the room, a lamp of a living room is turned on first, then shoes are replaced into the living room, the lamp of the living room is turned on, the lamp of the living room is turned off, an air conditioner is turned on, a television is turned on, and water and tea are boiled and drunk).

And S302, inputting the identity information, the characteristic information and the habit operation information as training samples into a neural network for training to obtain a trained neural network model.

Specifically, the information data acquired in step S301 is input to a neural network as a training sample for training, so as to obtain a neural network model, where the neural network model is used to represent the mapping from the feature information of the user to the identity information and the habit operation information.

In some embodiments, the structure of the neural network model may be pre-established.

S303, when detecting that someone stands on the intelligent door mat, collecting the characteristic information of the user to be detected, wherein the characteristic information comprises the shoe size and the sole pressure of the user to be detected.

Specifically, after the model training is accomplished, when wisdom doormat formally used, when detecting someone and stand on wisdom doormat, wisdom doormat gathers the user's that awaits measuring shoes size and sole pressure.

S304, inputting the shoe size and the sole pressure serving as input quantities into a neural network model obtained through pre-training to obtain habit operation information corresponding to the user to be tested and output by the neural network model.

Specifically, the acquired shoe size and sole pressure are used as input quantities to be input into a trained neural network model, so that the habit operation information of the user to be detected can be directly output.

S305, controlling the corresponding intelligent household equipment to work according to the habit operation information.

Specifically, the habit operation information is analyzed to obtain a corresponding control instruction of the intelligent home equipment related to the habit operation information; and then sending the control instruction to corresponding intelligent household equipment to control the intelligent household equipment to work.

Illustratively, the input information of the habit operations of the man owner after entering the room is as follows: firstly, turning on a lamp of a living room, then changing shoes into the living room, turning on the lamp of the living room, turning off the lamp of the living room, turning on an air conditioner, turning on a television, and boiling water to drink tea; analyzing the information to obtain a hall lamp opening instruction, a living room lamp opening instruction, a hall lamp closing instruction, an air conditioner opening instruction, a television opening instruction and a water purification equipment opening instruction; and then, according to the sequence and time interval of each operation behavior in the habit operation information, the instructions are sequentially sent to the corresponding intelligent household equipment, so that the corresponding intelligent household equipment is controlled to start working.

In a possible embodiment, a memory of the smart doormat stores a plurality of different time periods in advance, for example, 24 hours a day is divided into two time periods, namely a first time period (from 7 am to 6 am) and a second time period (from 6 am to 7 am), when it is detected that a user to be detected enters a room, the current time is obtained first, and then it is determined in which time period the current time is, if the current time is in the first time period, after the user enters the room, no matter whether the habitual behaviors of the user have an action of turning on an electric lamp, the smart doormat still controls the electric lamp to be continuously in a turn-off state; if the current time is in the second time quantum, then the user gets into indoor back, no matter whether there is the action of "opening the electric light" in user's the custom action, wisdom door mat all can control and open the electric light.

In another possible embodiment, the memory of the smart doormat stores four season periods in advance, spring, summer, fall and winter. When a user to be detected enters a room, the intelligent door mat can acquire the current date, if the current date is in winter and the haze is severe in winter, the intelligent door mat can control the fresh air system to be started no matter whether the habit behavior of the user is that the fresh air system is opened or not, and after the user enters the room; for another example, if the current date is in summer, the intelligent door mat detects that the user enters the room, and then the air conditioner is controlled to be started preferentially.

Optionally, the method provided in this embodiment further includes: judging whether the user to be detected is a stranger or not according to the characteristic information; if the judgment result is yes, prompt information is generated and sent to the client to prompt the user.

Specifically, whether identity information corresponding to feature information exists is judged according to a corresponding relation between pre-stored feature information and identity information; and if the judgment result is negative, determining that the user to be detected is a stranger.

For example, before the intelligent door mat is officially used, only the identity information and the corresponding feature information of the user who lives in the house are collected, for example, only the identity information of the male owner and the corresponding feature information thereof, and the identity information and the corresponding feature information of the female owner are collected and stored; when the intelligent door mat is used formally, the collected characteristic information (shoe size and sole pressure) is matched with the information collected and stored in advance, and if the characteristic information cannot be matched, the user is determined to be a stranger. And then generating prompt information and sending the prompt information to a client, for example, the pre-collected identity information of the owner comprises a mobile phone number, the intelligent doormat can send the prompt information to the mobile phone of the owner in a form of short message, and can also send the prompt information to a related application program APP of the owner through a network, and the like. And after receiving the prompt message, the host judges whether the host is a relative friend or an unknown visitor, so as to determine how to handle the prompt message.

In one possible embodiment, the intelligent doormat is in communication connection with a camera installed indoors, when the intelligent doormat determines that a user to be detected is stranger, indoor image information collected by the camera is obtained, whether the user is in the room or not is judged according to the indoor image information, and if the user is in the room, the intelligent doormat cannot send prompt information to a client; if no person is in the room, the intelligent doormat sends prompt information to the client when detecting that a stranger enters the room.

In this embodiment, gather user's relevant information at home in advance through wisdom doormat, remember the operation action sequence that the user got into the knocker, through self-learning of a period of time, just can discern the user who gets into the door who is who to this user's habitual operation is carried out in the direct control, has improved the convenience in the user life.

Fig. 4 is a flowchart illustrating a smart home control method applied to a smart doormat according to another exemplary embodiment of the present invention, and this embodiment further describes in detail the smart home control method applied to the smart doormat based on the embodiment illustrated in fig. 2.

As shown in fig. 4, the method provided by the present embodiment may include the following steps.

S401, when detecting that someone stands on the wisdom doormat, gather the characteristic information of the user that awaits measuring, characteristic information includes shoes size and sole pressure.

S402, determining the identity information corresponding to the shoe size and the sole pressure according to the first pre-stored corresponding relation.

Wherein, the first corresponding relation is the corresponding relation between the characteristic information and the identity information.

Specifically, the identity information and the corresponding feature information of the user who lives in the house can be collected in advance, the identity information, the feature information and the corresponding relation between the identity information and the feature information are stored in the memory, and then when the feature information of the user to be detected is collected again, the identity information of the user to be detected is matched with the identity information of the user to be detected from the memory.

And S403, acquiring the habit operation information corresponding to the identity information according to the pre-stored second corresponding relation.

Wherein, the second corresponding relationship is the corresponding relationship between the characteristic information and the habit operation information.

Specifically, the habit operation information of the home-standing user after entering the room within a period of time can be collected in advance, the characteristic information, the habit operation information and the corresponding relation between the habit operation information and the habit operation information are stored in the memory, and after the characteristic information of the user to be detected is collected again, the operation behavior information corresponding to the characteristic information is matched in the memory.

It should be noted that, the operation behavior sequence of each day may not be the same for a period of time, and therefore, the operation behavior with the most number of repeated days in the period of time may be used as the habitual operation information, for example, the operation behavior sequence after the user enters a gate for seven days in ten days is: firstly, opening a hall lamp, closing the hall lamp after changing shoes, opening a hall lamp and opening a television; the sequence of three days after entry was: turning on a hall lamp and turning on an air conditioner; then, the sequence of the operation behaviors with the largest number of repeated days (opening hall lights first, closing hall lights after changing shoes, opening hall lights, turning on televisions) is taken as the sequence of the habitual behaviors of the user.

And S404, controlling the corresponding intelligent household equipment to work according to the habit operation information.

Optionally, the method provided in this embodiment may further include: acquiring identity information, characteristic information and habit operation information of a user; and updating the first corresponding relation and the second corresponding relation according to the identity information, the characteristic information and the habit operation information.

Specifically, since the number and the identity of the users who live in the house may change, the identity information, the feature information, and the habit operation information of the new user may be collected when the change occurs, so as to update the first corresponding relationship and the second corresponding relationship stored in the memory, so that the new user controls the corresponding smart home device to work according to the habit operation behavior of the new user when entering the room again.

It is understood that, for steps that are not described in detail in this embodiment, reference may be made to the description of related steps in the above related method embodiments, and details are not described here again.

Fig. 5 is a schematic structural diagram of a smart door mat according to an exemplary embodiment of the present invention, and the accompanying drawing of the smart door mat provided in this embodiment is an exploded structural diagram of the smart door mat.

As shown in fig. 5, the intelligent doormat provided in this embodiment includes: a bottom pad 501, a top pad 502, a sensor array 503 disposed between the bottom pad and the top pad, and a processor 504 connected to the sensor array; the sensor array is to: when a person is detected to stand on the intelligent door mat, collecting characteristic information of a user to be detected; the processor is configured to: acquiring habit operation information of the user to be tested according to the characteristic information; and controlling the corresponding intelligent household equipment to work according to the habit operation information.

Further, the characteristic information comprises the shoe size and sole pressure of the user to be detected; the processor is specifically configured to: and inputting the shoe size and the sole pressure serving as input quantities into a neural network model obtained by pre-training to obtain habit operation information corresponding to the user to be detected and output by the neural network model.

Optionally, the processor is further configured to: judging whether the user to be detected is a stranger or not according to the characteristic information; if the judgment result is yes, prompt information is generated and sent to the client to prompt the user.

Optionally, the processor is specifically configured to: judging whether identity information corresponding to the feature information exists or not according to the corresponding relation between the pre-stored feature information and the identity information; and if the judgment result is negative, determining that the user to be detected is a stranger.

Optionally, the processor is specifically configured to: acquiring identity information, characteristic information and habit operation information of a user; and inputting the identity information, the characteristic information and the habit operation information into a neural network as training samples for training to obtain a trained neural network model.

Optionally, the processor is specifically configured to: according to a first pre-stored corresponding relation, identity information corresponding to the shoe size and the sole pressure is determined; and acquiring the habit operation information corresponding to the identity information according to a second corresponding relation stored in advance.

Optionally, the processing module is further configured to: acquiring identity information, characteristic information and habit operation information of a user; and updating the first corresponding relation and the second corresponding relation according to the identity information, the characteristic information and the habit operation information.

For detailed functional description of each module in this embodiment, reference is made to the description of the embodiment of the method, and the detailed description is not provided herein.

Fig. 6 is a schematic structural diagram of a smart doormat according to an exemplary embodiment of the present invention.

As shown in fig. 6, the intelligent doormat provided by the present embodiment includes: an acquisition module 601, a processing module 602 and a control module 603; the system comprises an acquisition module, a display module and a control module, wherein the acquisition module is used for acquiring characteristic information of a user to be detected when the situation that a person stands on an intelligent door mat is detected; the processing module is used for determining the habit operation information of the user to be tested according to the characteristic information; and the control module is used for controlling the corresponding intelligent household equipment to work according to the habit operation information.

Further, the characteristic information comprises the shoe size and sole pressure of the user to be detected; the processing module is specifically configured to: and inputting the shoe size and the sole pressure serving as input quantities into a neural network model obtained by pre-training to obtain habit operation information corresponding to the user to be detected and output by the neural network model.

Optionally, the processing module is further configured to: judging whether the user to be detected is a stranger or not according to the characteristic information; if the judgment result is yes, prompt information is generated and sent to the client to prompt the user.

Optionally, the processing module is specifically configured to: judging whether identity information corresponding to the feature information exists or not according to the corresponding relation between the pre-stored feature information and the identity information; and if the judgment result is negative, determining that the user to be detected is a stranger.

Optionally, the processing module is specifically configured to: acquiring identity information, characteristic information and habit operation information of a user; and inputting the identity information, the characteristic information and the habit operation information into a neural network as training samples for training to obtain a trained neural network model.

Optionally, the processing module is specifically configured to: according to a first pre-stored corresponding relation, identity information corresponding to the shoe size and the sole pressure is determined; and acquiring the habit operation information corresponding to the identity information according to a second corresponding relation stored in advance.

Optionally, the acquisition module is further configured to: acquiring identity information, characteristic information and habit operation information of a user; the processing module is further configured to update the first corresponding relationship and the second corresponding relationship according to the identity information, the feature information, and the habit operation information.

For detailed functional description of each module in this embodiment, reference is made to the description of the embodiment of the method, and the detailed description is not provided herein.

Fig. 7 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention. As shown in fig. 7, the present embodiment provides an electronic device 70 including: at least one processor 701 and a memory 702. The processor 701 and the memory 702 are connected by a bus 703.

In a specific implementation process, the at least one processor 701 executes computer-executable instructions stored in the memory 702, so that the at least one processor 701 executes the smart home control method applied to the smart doormat in the above method embodiment.

For a specific implementation process of the processor 701, reference may be made to the above method embodiments, which implement principles and technical effects similar to each other, and details of this embodiment are not described herein again.

In the embodiment shown in fig. 7, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.

The memory may comprise high speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.

The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.

Another embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when a processor executes the computer-executable instructions, the smart home control method applied to a smart doormat in the above-mentioned method embodiment is implemented.

The computer-readable storage medium may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.

An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in the apparatus.

Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.

So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.