CN114035445A - Intelligent household equipment control method, device and system based on indoor positioning - Google Patents
Intelligent household equipment control method, device and system based on indoor positioning Download PDFInfo
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- 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
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- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention discloses an intelligent household equipment control method based on indoor positioning, which comprises the following steps: acquiring indoor positioning information of a user in real time, and monitoring whether the indoor positioning information of the user changes according to a preset indoor two-dimensional map; when the positioning information of the user changes, predicting the subsequent behavior of the user and outputting a prediction result; and generating a control instruction according to the prediction result, and issuing the control instruction to the corresponding at least one intelligent household device. According to the intelligent home control method and the intelligent home control system, before the user actively operates and controls the corresponding intelligent home equipment, the behavior track of the user can be automatically predicted by the system, and the corresponding intelligent home equipment is controlled to be turned on or turned off in advance, so that the intelligent level of the intelligent home control is improved. In addition, when the situation that the user does not move within a certain time is monitored, health intervention prompt information is actively issued to the user, and the living health level of the user is improved.
Description
Technical Field
The invention belongs to the technical field of Internet of things, and particularly relates to an intelligent household equipment control method, device and system based on indoor positioning.
Background
Along with the improvement of the comfortable and healthy requirements of people on home furnishing, the concept of the intelligent home furnishing is gradually proposed and accepted, the intelligent home furnishing is embodied in an internet of things manner under the influence of the internet, various devices (such as audio and video devices, lighting systems, curtain control, air conditioner control, security and protection systems, digital cinema systems, audio and video servers, video cabinet systems, network home appliances and the like) in the home are connected together through the internet of things technology, and multiple functions and means such as home appliance control, lighting control, telephone remote control, indoor and outdoor remote control, anti-theft alarm, environment monitoring, heating and ventilation control, infrared forwarding, programmable timing control and the like are provided.
In the prior art, the control mode for the smart home devices is as follows: a user actively controls various household equipment in modes of voice control, panel control, mobile phone APP remote control and the like. Therefore, the intelligent home only realizes remote active control of the user at the present stage, and does not realize real autonomous intellectualization.
Disclosure of Invention
The invention aims to provide an intelligent household equipment control method, device and system based on indoor positioning, which are used for solving at least one technical problem in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention relates to an intelligent household equipment control method based on indoor positioning, which comprises the following steps:
acquiring indoor positioning information of a user in real time, and monitoring whether the indoor positioning information of the user changes according to a preset indoor two-dimensional map;
when the positioning information of the user changes, predicting the subsequent behavior of the user and outputting a prediction result;
and generating a control instruction according to the prediction result, and issuing the control instruction to the corresponding at least one intelligent household device.
In one possible design, the obtaining of the positioning information of the user indoors in real time includes:
determining positioning information of the wearable equipment on the indoor two-dimensional map according to first signal strength information of a signal sent by the wearable equipment carried by a user or second signal strength information of each intelligent household equipment received by the wearable equipment;
and taking the positioning information of the wearable device as the positioning information of the user indoors.
In one possible design, when the user positioning information changes, predicting the subsequent behavior of the user, and outputting the prediction result, the method includes:
when the user positioning information changes, acquiring the distance relationship between the moving track of the user and the intelligent household equipment at each fixed installation position;
training to obtain a user behavior prediction model by using historical behavior data of a user and based on a machine learning method;
and predicting the subsequent behaviors of the user by using the user behavior prediction model according to the distance relationship between the movement track of the user and the intelligent household equipment at each fixed installation position.
In one possible design, the method further includes:
and when the positioning information of the user is not changed within a certain time, the health intervention prompt information is issued to the user in combination with the environmental information.
In a second aspect, the present invention provides an intelligent home device control apparatus based on indoor positioning, including:
the positioning monitoring module is used for acquiring indoor positioning information of the user in real time and monitoring whether the indoor positioning information of the user changes according to a preset indoor two-dimensional map;
the behavior prediction module is used for predicting the subsequent behaviors of the user when the positioning information of the user changes and outputting a prediction result;
and the instruction issuing module is used for generating a control instruction according to the prediction result and issuing the control instruction to the corresponding at least one piece of intelligent household equipment.
In a possible design, when acquiring the indoor positioning information of the user in real time, the positioning monitoring module is specifically configured to:
determining positioning information of the wearable equipment on the indoor two-dimensional map according to first signal strength information of a signal sent by the wearable equipment carried by a user or second signal strength information of each intelligent household equipment received by the wearable equipment;
and taking the positioning information of the wearable device as the positioning information of the user indoors.
In one possible design, the behavior prediction module includes:
the distance relation obtaining unit is used for obtaining the distance relation between the moving track of the user and the intelligent household equipment at each fixed installation position when the user positioning information changes;
the model training unit is used for training to obtain a user behavior prediction model by utilizing the historical behavior data of the user and based on a machine learning method;
and the behavior prediction unit is used for predicting the subsequent behaviors of the user by using the user behavior prediction model according to the distance relationship between the moving track of the user and the intelligent household equipment at each fixed installation position, and outputting a prediction result.
In one possible design, the apparatus further includes:
and the intervention information sending module is used for sending health intervention prompt information to the user in combination with the environmental information when the positioning information of the user is not changed within a certain time.
In a third aspect, the invention provides an intelligent home device control system based on indoor positioning, which comprises a cloud server, an intelligent gateway, a wearable device and a plurality of intelligent home devices, wherein the cloud server is respectively in communication connection with the intelligent gateway and the plurality of intelligent home devices, and the intelligent gateway is in communication connection with the wearable device;
the intelligent gateway is used for acquiring indoor positioning information of a user according to the signal intensity of the wearable device and forwarding the indoor positioning information to the cloud server;
the cloud server is used for monitoring whether the positioning information of the user changes in real time, predicting the subsequent behavior of the user when the positioning information changes, and issuing a control instruction to the corresponding intelligent home equipment;
and the intelligent household equipment is used for executing the control instruction.
In a fourth aspect, the present invention provides a computer device, including a memory, a processor and a transceiver, which are sequentially connected in a communication manner, where the memory is used to store a computer program, the transceiver is used to transmit and receive messages, and the processor is used to read the computer program and execute the method for controlling an intelligent home device based on indoor positioning as described in any one of the possible designs of the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium, where instructions are stored, and when the instructions are executed on a computer, the method for controlling an intelligent home device based on indoor positioning as described in any one of the possible designs of the first aspect is executed.
In a fifth aspect, the present invention provides a computer program product containing instructions, which when executed on a computer, causes the computer to execute the method for controlling an intelligent home device based on indoor positioning as described in any one of the possible designs of the first aspect.
Has the advantages that:
the indoor positioning information of the user is acquired in real time, and whether the indoor positioning information of the user changes or not is monitored according to a preset indoor two-dimensional map; when the positioning information of the user changes, predicting the subsequent behavior of the user and outputting a prediction result; and generating a control instruction according to the prediction result, and issuing the control instruction to the corresponding at least one intelligent household device, so that before the user actively operates and controls the corresponding intelligent household device, the system automatically predicts the behavior track of the user, and controls the corresponding intelligent household device to be turned on or off in advance, thereby improving the intelligent level of intelligent household control. In addition, when the situation that the user does not move within a certain time is monitored, health intervention prompt information is actively issued to the user, and the living health level of the user is improved.
Drawings
Fig. 1 is a flowchart of a method for controlling an intelligent home device based on indoor positioning in this embodiment;
fig. 2 is a block diagram of a structure of an intelligent home device control system based on indoor positioning in this embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments in the present description, belong to the protection scope of the present invention.
Examples
As shown in fig. 1, the present embodiment provides a method for controlling an intelligent home device based on indoor positioning, which includes, but is not limited to, steps S101 to S103:
s101, acquiring indoor positioning information of a user in real time, and monitoring whether the indoor positioning information of the user changes according to a preset indoor two-dimensional map;
in a possible specific implementation manner of step S101, acquiring, in real time, indoor positioning information of a user includes:
step S1011, according to first signal intensity information of signals sent by wearable equipment carried by a user, or according to second signal intensity information of each intelligent household equipment received by the wearable equipment, determining positioning information of the wearable equipment on the indoor two-dimensional map;
it should be noted that the wearable device includes, but is not limited to, a watch type (including a watch and a wrist strap) supported by a wrist, a shoes type (including shoes, socks, or other leg wearing products in the future) supported by a foot, a Glass type (including glasses, a helmet, a headband, etc.) supported by a head, and various devices such as smart clothes, a bag, a crutch, and accessories, which are not limited herein.
The server may determine, on the indoor two-dimensional map, the positioning information of the wearable device, that is, the positioning information of the user itself, according to the first signal strength information sent by the wearable device carried by the user itself or according to the second signal strength information of each piece of smart home equipment received by the wearable device.
Step S1012, taking the positioning information of the wearable device as the positioning information of the user indoors.
S102, when the positioning information of the user changes, predicting the subsequent behavior of the user and outputting a prediction result;
in a specific implementation manner of step S102, when the user positioning information changes, predicting a subsequent behavior of the user, and outputting a prediction result includes:
s1021, when the user positioning information changes, obtaining the distance relation between the moving track of the user and the intelligent home equipment at each fixed installation position;
it should be noted that, in this example, a plurality of smart home devices including, but not limited to, an audio/video device, a lighting system, a curtain control, an air conditioner control, a security system, a digital cinema system, an audio/video server, a video cabinet system, a network home appliance, and the like are fixedly installed in advance indoors, and the positioning information of each smart home device is stored in the cloud server. Therefore, when the user positioning information changes, the user movement track is obtained, and the distance relation between the user movement track and one or more intelligent household devices is calculated, so that the user movement track can be used as a basis for user behavior prediction.
S1022, training to obtain a user behavior prediction model by using historical behavior data of a user and based on a machine learning method;
it should be noted that the historical behavior data of the user includes historical operating habits of the user on various smart home devices, for example, at which time point every day, one or more smart home devices may be turned on or off, for example, the smart lighting system is turned on by remote control when the user leaves work at 7 o 'clock every day, the audio and video device is turned on by remote control when the user leaves work at 9 o' clock every day, and the like, which is not described herein any more. The cloud server records a sufficient amount of historical behavior data and utilizes a machine learning method to input the historical behavior data into a machine learning model for training to obtain a user behavior prediction model, so that the user behavior is accurately predicted.
And S1023, predicting subsequent behaviors of the user by using the user behavior prediction model according to the distance relationship between the moving track of the user and the intelligent household equipment at each fixed installation position, and outputting a prediction result.
And S103, generating a control instruction according to the prediction result, and issuing the control instruction to the corresponding at least one intelligent household device.
For example, at 11 nights, when monitoring that the positioning information of the user changes from the living room to the bedroom, the cloud server predicts that the user is about to enter the bedroom to sleep, and sends a control instruction to the lighting device in the bedroom to control the lighting device in the bedroom to be turned on, and simultaneously sends a control instruction to the lighting device and/or the audio and video equipment which are turned on in the living room to control the lighting device and/or the audio and video equipment to be turned off.
In one possible design, the method further includes:
and S104, when the situation that the positioning information of the user does not change within a certain time is monitored, the health intervention prompt information is issued to the user in combination with the environmental information.
For example, at saturday 15, the cloud server detects that the user has not moved in the study for a long time, and then sends a control instruction to the water heater to control the water heater to automatically boil water, and pushes health intervention prompt information to the user terminal, or sends the control instruction to the indoor intelligent sound box, so that the intelligent sound box reminds the user of getting up to live or drinking water through voice, and the health level of the user life is improved.
Based on the disclosure, the indoor positioning information of the user is acquired in real time, and whether the indoor positioning information of the user changes or not is monitored according to a preset indoor two-dimensional map; when the positioning information of the user changes, predicting the subsequent behavior of the user and outputting a prediction result; and generating a control instruction according to the prediction result, and issuing the control instruction to the corresponding at least one intelligent household device, so that before the user actively operates and controls the corresponding intelligent household device, the system automatically predicts the behavior track of the user, and controls the corresponding intelligent household device to be turned on or off in advance, thereby improving the intelligent level of intelligent household control. In addition, when the situation that the user does not move within a certain time is monitored, health intervention prompt information is actively issued to the user, and the living health level of the user is improved.
In a second aspect, the present invention provides an intelligent home device control apparatus based on indoor positioning, including:
the positioning monitoring module is used for acquiring indoor positioning information of the user in real time and monitoring whether the indoor positioning information of the user changes according to a preset indoor two-dimensional map;
the behavior prediction module is used for predicting the subsequent behaviors of the user when the positioning information of the user changes and outputting a prediction result;
and the instruction issuing module is used for generating a control instruction according to the prediction result and issuing the control instruction to the corresponding at least one piece of intelligent household equipment.
In a possible design, when acquiring the indoor positioning information of the user in real time, the positioning monitoring module is specifically configured to:
determining positioning information of the wearable equipment on the indoor two-dimensional map according to first signal strength information of a signal sent by the wearable equipment carried by a user or second signal strength information of each intelligent household equipment received by the wearable equipment;
and taking the positioning information of the wearable device as the positioning information of the user indoors.
In one possible design, the behavior prediction module includes:
the distance relation obtaining unit is used for obtaining the distance relation between the moving track of the user and the intelligent household equipment at each fixed installation position when the user positioning information changes;
the model training unit is used for training to obtain a user behavior prediction model by utilizing the historical behavior data of the user and based on a machine learning method;
and the behavior prediction unit is used for predicting the subsequent behaviors of the user by using the user behavior prediction model according to the distance relationship between the moving track of the user and the intelligent household equipment at each fixed installation position, and outputting a prediction result.
In one possible design, the apparatus further includes:
and the intervention information sending module is used for sending health intervention prompt information to the user in combination with the environmental information when the positioning information of the user is not changed within a certain time.
As shown in fig. 2, in a third aspect, the present invention provides an intelligent home device control system based on indoor positioning, including a cloud server, an intelligent gateway, a wearable device, and a plurality of intelligent home devices, where the cloud server is in communication connection with the intelligent gateway and the plurality of intelligent home devices, respectively, and the intelligent gateway is in communication connection with the wearable device;
the intelligent gateway is used for acquiring indoor positioning information of a user according to the signal intensity of the wearable device and forwarding the indoor positioning information to the cloud server;
the cloud server is used for monitoring whether the positioning information of the user changes in real time, predicting the subsequent behavior of the user when the positioning information changes, and issuing a control instruction to the corresponding intelligent home equipment;
and the intelligent household equipment is used for executing the control instruction.
In a fourth aspect, the present invention provides a computer device, including a memory, a processor and a transceiver, which are sequentially connected in a communication manner, where the memory is used to store a computer program, the transceiver is used to transmit and receive messages, and the processor is used to read the computer program and execute the method for controlling an intelligent home device based on indoor positioning as described in any one of the possible designs of the first aspect.
For example, the Memory may include, but is not limited to, a Random-Access Memory (RAM), a Read-Only Memory (ROM), a Flash Memory (Flash Memory), a First-in First-out (FIFO), and/or a First-in Last-out (FILO), and the like; the transceiver may be, but is not limited to, a WiFi (wireless fidelity) wireless transceiver, a bluetooth wireless transceiver, a GPRS (General Packet Radio Service) wireless transceiver, and/or a ZigBee (ZigBee protocol, low power consumption local area network protocol based on ieee802.15.4 standard) wireless transceiver, etc.; the processor may not be limited to the use of a microprocessor of the model number STM32F105 family. In addition, the gateway device may also include, but is not limited to, a power module, a display screen, and other necessary components.
In a fourth aspect, the present invention provides a computer-readable storage medium, where instructions are stored, and when the instructions are executed on a computer, the method for controlling an intelligent home device based on indoor positioning as described in any one of the possible designs of the first aspect is executed.
The readable storage medium refers to a carrier for storing data, and may include, but is not limited to, a floppy disk, an optical disk, a hard disk, a flash Memory, a flash disk and/or a Memory Stick (Memory Stick), etc., and the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.
In a fifth aspect, the present invention provides a computer program product containing instructions, which when executed on a computer, causes the computer to execute the method for controlling an intelligent home device based on indoor positioning as described in any one of the possible designs of the first aspect.
The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices.
Finally, it should be noted that: the above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The intelligent household equipment control method based on indoor positioning is characterized by comprising the following steps:
acquiring indoor positioning information of a user in real time, and monitoring whether the indoor positioning information of the user changes according to a preset indoor two-dimensional map;
when the positioning information of the user changes, predicting the subsequent behavior of the user and outputting a prediction result;
and generating a control instruction according to the prediction result, and issuing the control instruction to the corresponding at least one intelligent household device.
2. The indoor positioning-based intelligent household equipment control method according to claim 1, wherein the step of acquiring indoor positioning information of the user in real time comprises the steps of:
determining positioning information of the wearable equipment on the indoor two-dimensional map according to first signal strength information of a signal sent by the wearable equipment carried by a user or second signal strength information of each intelligent household equipment received by the wearable equipment;
and taking the positioning information of the wearable device as the indoor positioning information of the user.
3. The indoor positioning-based intelligent household equipment control method according to claim 1, wherein when the user positioning information changes, predicting the subsequent behavior of the user and outputting the prediction result comprises:
when the user positioning information changes, acquiring the distance relationship between the moving track of the user and the intelligent household equipment at each fixed installation position;
training to obtain a user behavior prediction model by using historical behavior data of a user and based on a machine learning method;
and predicting the subsequent behaviors of the user by using the user behavior prediction model according to the distance relationship between the moving track of the user and the intelligent household equipment at each fixed installation position, and outputting a prediction result.
4. The intelligent household equipment control method based on indoor positioning according to claim 1, further comprising:
and when the positioning information of the user is not changed within a certain time, the health intervention prompt information is issued to the user in combination with the environmental information.
5. The utility model provides an intelligent household equipment controlling means based on indoor location which characterized in that includes:
the positioning monitoring module is used for acquiring indoor positioning information of the user in real time and monitoring whether the indoor positioning information of the user changes according to a preset indoor two-dimensional map;
the behavior prediction module is used for predicting the subsequent behaviors of the user when the positioning information of the user changes and outputting a prediction result;
and the instruction issuing module is used for generating a control instruction according to the prediction result and issuing the control instruction to the corresponding at least one piece of intelligent household equipment.
6. The intelligent household equipment control device based on indoor positioning according to claim 5, wherein when the indoor positioning information of the user is obtained in real time, the positioning monitoring module is specifically configured to:
determining positioning information of the wearable equipment on the indoor two-dimensional map according to first signal strength information of a signal sent by the wearable equipment carried by a user or second signal strength information of each intelligent household equipment received by the wearable equipment;
determining positioning information of the wearable device on the indoor two-dimensional map;
and taking the positioning information of the wearable device as the positioning information of the user indoors.
7. The intelligent household equipment control device based on indoor positioning as claimed in claim 5, wherein the behavior prediction module comprises:
the distance relation obtaining unit is used for obtaining the distance relation between the moving track of the user and the intelligent household equipment at each fixed installation position when the user positioning information changes;
the model training unit is used for training to obtain a user behavior prediction model by utilizing the historical behavior data of the user and based on a machine learning method;
and the behavior prediction unit is used for predicting the subsequent behaviors of the user by using the user behavior prediction model according to the distance relationship between the moving track of the user and the intelligent household equipment at each fixed installation position.
8. The intelligent household equipment control device based on indoor positioning according to claim 5, characterized in that the device further comprises:
and the intervention information sending module is used for sending health intervention prompt information to the user in combination with the environmental information when the positioning information of the user is not changed within a certain time.
9. An intelligent household equipment control system based on indoor positioning is characterized by comprising a cloud server, an intelligent gateway, wearable equipment and a plurality of intelligent household equipment, wherein the cloud server is respectively in communication connection with the intelligent gateway and the plurality of intelligent household equipment;
the intelligent gateway is used for acquiring indoor positioning information of a user according to the signal intensity of the wearable device and forwarding the indoor positioning information to the cloud server;
the cloud server is used for monitoring whether the positioning information of the user changes in real time, predicting the subsequent behavior of the user when the positioning information changes, and issuing a control instruction to the corresponding intelligent home equipment;
and the intelligent household equipment is used for executing the control instruction.
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| CN107479393A (en) * | 2017-08-17 | 2017-12-15 | 北京天平检验行有限公司 | A kind of intelligent domestic system based on big data |
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