CN113206774A - Control method and device of intelligent household equipment based on indoor positioning information - Google Patents
Control method and device of intelligent household equipment based on indoor positioning information Download PDFInfo
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Abstract
The invention discloses a control method and a control device of intelligent household equipment based on indoor positioning information, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring a positioning model for indoor positioning of a target object; positioning the indoor position of the target object according to the positioning model, and predicting the predicted position information of the target object; and determining a positioning sub-area where the target object is located according to the predicted position information, and awakening at least one item of intelligent household equipment arranged in the positioning sub-area. Therefore, by adopting the embodiment of the application, due to the introduction of the positioning model, the positioning model can accurately position and predict the predicted position information of the target object, so that the positioning accuracy is improved; in addition, the positioning sub-area where the target object is located is determined according to the predicted position information, and at least one item of intelligent household equipment arranged in the positioning sub-area is awakened, so that the intelligent household equipment can be accurately controlled, and the user experience degree is improved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a method and a device for controlling intelligent household equipment based on indoor positioning information.
Background
With the popularization of various application software applied to mobile terminal devices, the demand of people for indoor positioning and navigation increases.
In an indoor environment, especially in a complex indoor environment, for example, a home environment, due to the limitation of the complex indoor environment, the existing positioning method cannot accurately position and predict the actual position of the target object.
Because the current positioning technology cannot accurately position and predict the current area of the target object in real time, accurate real-time indoor positioning information cannot be acquired, and intelligent control over various indoor intelligent household devices cannot be realized, so that the user experience is reduced.
Disclosure of Invention
An object of the embodiments of the present invention is to provide a method and an apparatus for controlling an intelligent home device based on indoor positioning information, a computer device, and a storage medium, so as to solve the above technical problems.
In a first aspect, an embodiment of the present application provides a method for controlling smart home devices based on indoor positioning information, where the method includes:
selecting an indoor preset area of a target object as a positioning area;
dividing the positioning area into a plurality of positioning subareas with independent space living functions according to the space living functions of different areas of the positioning area;
acquiring a positioning model for indoor positioning of the target object;
positioning the indoor position of the target object according to the positioning model, and predicting the predicted position information of the target object;
and determining a positioning sub-area where the target object is located according to the predicted position information, and awakening at least one piece of intelligent household equipment arranged in the positioning sub-area.
In one embodiment, the positioning model is a positioning model based on a location fingerprint, the positioning the indoor location of the target object according to the positioning model, and predicting the predicted location information of the target object includes:
corresponding unique preset fingerprints to any one of the plurality of positioning subareas in a position fingerprint database, wherein each preset fingerprint corresponds to unique preset position information;
performing target detection on the target object, and if the target object is detected to enter the positioning area, acquiring corresponding actual measurement fingerprints through the positioning model, wherein each actual measurement fingerprint corresponds to unique actual measurement position information;
and matching the actually measured fingerprint with any fingerprint data in the position fingerprint database, and taking the position information corresponding to the preset fingerprint with the maximum similarity of the actually measured fingerprint in the fingerprint data as the predicted position information of the target object.
In one embodiment, the method further comprises:
and acquiring at least one preset fingerprint in the position fingerprint database.
In one embodiment, the acquiring at least one preset fingerprint in the location fingerprint library comprises:
selecting any one positioning sub-region from the plurality of positioning sub-regions as a current positioning sub-region;
configuring m sampling points in the current positioning sub-area;
selecting any sampling point from the m sampling points as a current sampling point for sampling, acquiring n received signal strength indication RSSI values with AP identifications, and taking the n received signal strength indication RSSI values with the AP identifications as fingerprints of the current sampling point;
traversing all the other sampling points of the m sampling points until the sampling point fingerprint of each sampling point is obtained;
and taking sampling point fingerprints corresponding to the m sampling points as preset fingerprints of the current positioning sub-area, and storing the preset fingerprints into the position fingerprint database, wherein m and n are positive integers greater than 1.
In one embodiment, the waking up at least one smart home device disposed in the positioning sub-area includes:
and automatically awakening at least one item of intelligent household equipment arranged in the positioning sub-area.
In one embodiment, the waking up at least one smart home device disposed in the positioning sub-area includes:
receiving a voice instruction of the target object, wherein the voice instruction carries equipment information of at least one piece of intelligent home equipment to be awakened;
and awakening the corresponding intelligent household equipment according to the equipment information in the voice instruction.
In one embodiment, after waking up at least one smart home device disposed in the positioning sub-area, the method further includes:
selecting any one of a plurality of intelligent household devices as the current intelligent household device;
analyzing historical data of the target object according to a preset preference degree analysis model to obtain preference degree information of the target object;
recommending the recommendation service matched with the current intelligent household equipment to the target object according to the preference information.
In a second aspect, an embodiment of the present application provides a control apparatus for smart home devices based on indoor positioning information, the apparatus includes:
the positioning area selection module is used for selecting an indoor preset area of the target object as a positioning area;
a sub-area dividing module, configured to divide the positioning area into a plurality of positioning sub-areas having independent space occupancy functions according to the space occupancy functions of different areas of the positioning area selected by the positioning area selecting module;
the acquisition module is used for acquiring a positioning model for indoor positioning of the target object;
the position prediction module is used for positioning the indoor position of the target object according to the positioning model acquired by the acquisition module and predicting the predicted position information of the target object;
the determining module is used for determining a positioning sub-region where the target object is located according to the predicted position information;
and the awakening module is used for awakening at least one piece of intelligent household equipment arranged in the positioning sub-area determined by the determining module.
In a third aspect, embodiments of the present application provide a computer device, including a memory and a processor, where the memory stores computer-readable instructions, and the computer-readable instructions, when executed by the processor, cause the processor to perform the above-mentioned method steps.
In a fourth aspect, embodiments of the present application provide a storage medium storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the above-mentioned method steps.
The technical scheme provided by the embodiment of the application can have the following beneficial effects: in the embodiment of the application, a positioning model for indoor positioning of a target object is obtained; positioning the indoor position of the target object according to the positioning model, and predicting the predicted position information of the target object; and determining a positioning sub-area where the target object is located according to the predicted position information, and awakening at least one item of intelligent household equipment arranged in the positioning sub-area. Therefore, by adopting the embodiment of the application, due to the introduction of the positioning model, the positioning model can accurately position and predict the predicted position information of the target object, so that the positioning accuracy is improved; in addition, the positioning sub-area where the target object is located is determined according to the predicted position information, and at least one item of intelligent household equipment arranged in the positioning sub-area is awakened, so that the intelligent household equipment can be accurately controlled, and the user experience degree is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is an implementation environment diagram of a control method of an intelligent home device based on indoor positioning information, provided in an embodiment;
FIG. 2 is a block diagram showing an internal configuration of a computer device according to an embodiment;
fig. 3 is a schematic flowchart of a control method of an intelligent home device based on indoor positioning information according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a control device of an intelligent home device based on indoor positioning information according to an embodiment of the present disclosure.
Detailed Description
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them.
It should be understood that the described embodiments are only some embodiments of the invention, and not all 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.
Alternative embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
Fig. 1 is a diagram of an implementation environment of a method for controlling a smart home device based on indoor positioning information according to an embodiment, as shown in fig. 1, in the implementation environment, a computer device 110 and a terminal 120 are included.
It should be noted that the terminal 120 and the computer device 110 may be, but are not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like. The computer device 110 and the terminal 110 may be connected through bluetooth, USB (Universal Serial Bus), or other communication connection methods, which is not limited herein.
FIG. 2 is a diagram showing an internal configuration of a computer device according to an embodiment. As shown in fig. 2, the computer device includes a processor, a non-volatile storage medium, a memory, and a network interface connected through a system bus. The non-volatile storage medium of the computer device stores an operating system, a database and computer readable instructions, the database can store control information sequences, and the computer readable instructions, when executed by the processor, can enable the processor to realize the control method of the intelligent household device based on the indoor positioning information. The processor of the computer device is used for providing calculation and control capability and supporting the operation of the whole computer device. The memory of the computer device may store computer readable instructions, and when the computer readable instructions are executed by the processor, the processor may execute a method for controlling the smart home device based on the indoor positioning information. The network interface of the computer device is used for connecting and communicating with the terminal. Those skilled in the art will appreciate that the architecture shown in fig. 2 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
As shown in fig. 3, an embodiment of the present disclosure provides a method for controlling an intelligent home device based on indoor positioning information, where the method for controlling an intelligent home device based on indoor positioning information specifically includes the following steps:
s301: and selecting an indoor preset area of the target object as a positioning area.
In the embodiment of the present application, the indoor preset area is not particularly limited.
For example, in a specific application scenario, a bedroom a, a living room B, a kitchen C, and a study room D of indoor preset areas are taken as positioning areas, and here, the positioning areas are only examples. Other areas of the indoor preset area can also be used as positioning areas, which are not described in detail herein.
In the embodiment of the present disclosure, the target object may be a target user, and may also be a target pet, for example, a pet dog or a pet cat.
S302: according to the space living function of different areas of the positioning area, the positioning area is divided into a plurality of positioning subareas with independent space living functions.
In the embodiment of the present application, the positioning area may be divided into different positioning sub-areas according to different space living functions of the positioning area, and the different space living functions of the positioning area are not particularly limited, for example, the positioning sub-areas in the positioning area respectively have a function of providing a target object with sleep, a function of providing a party or a chatty for the target object, a function of providing a cooking space for the target object, and a function of providing a reading space for the target object. The above is merely an example, and the positioning area may also be divided into different positioning sub-areas, which are not described herein again,
s303: and acquiring a positioning model for indoor positioning of the target object.
In an embodiment of the present application, the positioning model may be a positioning model based on location fingerprints.
If the positioning model is based on the position fingerprint, the adopted algorithm is a position fingerprint algorithm, and the position fingerprint algorithm comprises a database and a positioning algorithm. The database is established by detecting the WiFi signal intensity, selecting a verified positioning area, selecting a plurality of sampling points in the positioning area, wherein the position of each sampling point is known, the WiFi signal can be detected at each sampling point, and a signal intensity sequence of the WiFi signal is obtained and stored as a fingerprint in the database. In a WiFi environment, the signal strength RSSI is used as a key parameter for positioning, so that the location fingerprint database is composed of a plurality of RSSI sequences, and each fingerprint corresponds to location information of a location.
In the embodiment of the present application, the process of determining the location fingerprint database is specifically as follows:
in the selected positioning area, assuming that p sampling points exist, n RSSI with AP identifiers can be obtained, and each sampling point can acquire n RSSI, and a corresponding fingerprint can be obtained by traversing all the sampling points, and the fingerprint is stored in a location fingerprint database, and the fingerprint can be described as follows:
in the above formula, the first and second carbon atoms are,
the measured b-th RSSI value with the AP identification at the ith sampling point is shown as follows:
is a fingerprint in the location fingerprint repository. Each fingerprint corresponds to a unique position, and the position is represented by binary coordinates (x, y), and the position corresponding to each fingerprint is represented by the following formula:
then the location fingerprint database is LocFP]。
In the embodiment of the present application, the positioning algorithm adopts a nearest neighbor algorithm. When the target object enters the positioning area, a measured fingerprint l can be obtainede＝(rssi1,rssi2,…,rssin) The actual measurement fingerprint is matched with any fingerprint in the position fingerprint database, and the position information corresponding to the fingerprint with the maximum similarity is used as the predicted position information of the target object.
From the above equation, the predicted position information of the target object is min (d (l)e,FPi) Corresponding location information, where i ═ 1,2, …, p.
In the control method provided in the embodiment of the present application, in addition to simplifying the positioning algorithm corresponding to the positioning model and using the nearest neighbor algorithm, in order to ensure the accuracy of the predicted position positioned by the positioning model, a position estimation algorithm based on probability is also synchronously used.
The probability-based positioning algorithm trains the fingerprints by adopting conditional probability and establishes a probability-based fingerprint library. And when positioning is carried out, predicting the position of the target object by adopting a Bayesian inference algorithm. In the training process, the RSSI probability distribution of the user location over each location is known.
Under the initial condition, each position l has a prior probability p (l), under the condition of no constraint, the positions in the position set Loc have the same prior probability, and then the probability-based positioning algorithm can adopt a Bayesian criterion to obtain the posterior probability of the positions, namely the posterior probability of the positions in the known fingerprint leIn the case of (2), the conditional probability of position i is as follows:
the probability estimation method predicts the position of the target object through the posterior probability of the position information, and the position information with the maximum posterior probability is the predicted position, namely: the predicted location of the target object.
The predicted position of the target object is expressed by the following formula:
in the above formula, the first and second carbon atoms are,
is represented byk∈LocAnd let P (l)k∣le) Maximum ofkThe value of (c).
In the embodiment of the present application, different priorities are configured for the nearest neighbor algorithm and the probability-based position estimation algorithm. In order to simplify a positioning algorithm adopted by a positioning model, a nearest neighbor algorithm is preferably selected during positioning, and when the nearest neighbor algorithm can accurately position a positioning sub-region where a target object is located, a probability-based position estimation algorithm is not required.
S304: and positioning the indoor position of the target object according to the positioning model, and predicting the predicted position information of the target object.
In an embodiment of the present application, the positioning model may be based on a positioning model that is a location fingerprint. When the positioning model is a positioning model of the position fingerprint, positioning the indoor position of the target object according to the positioning model, and predicting the predicted position information of the target object comprises the following steps:
corresponding unique preset fingerprints to any one of the plurality of positioning subareas in a position fingerprint database, wherein each preset fingerprint corresponds to unique preset position information;
carrying out target detection on a target object, and if the target object is detected to enter a positioning area, acquiring corresponding actual measurement fingerprints through a positioning model, wherein each actual measurement fingerprint corresponds to unique actual measurement position information;
and matching the actual measurement fingerprint with any fingerprint data in the position fingerprint database, and taking the position information corresponding to the preset fingerprint with the maximum similarity of the actual measurement fingerprint in the fingerprint data as the predicted position information of the target object.
For the specific algorithm involved in this step, reference is made to the description of the same or similar parts, and details are not repeated here.
In a possible implementation manner, the control method provided in the embodiment of the present disclosure further includes the following steps:
at least one preset fingerprint in the location fingerprint library is acquired.
In one possible implementation, the step of obtaining at least one preset fingerprint in the location fingerprint database comprises the following steps:
selecting any one positioning sub-region from the plurality of positioning sub-regions as a current positioning sub-region;
configuring m sampling points in the current positioning sub-area;
selecting any sampling point from the m sampling points as a current sampling point for sampling, acquiring n received signal strength indication RSSI values with AP identifications, and taking the n received signal strength indication RSSI values with the AP identifications as fingerprints of the current sampling point;
traversing all the other sampling points of the m sampling points until the sampling point fingerprint of each sampling point is obtained;
and taking sampling point fingerprints corresponding to the m sampling points as preset fingerprints of the current positioning sub-area, and storing the preset fingerprints into a position fingerprint database, wherein m and n are positive integers greater than 1.
For the specific algorithm involved in this step, reference is made to the description of the same or similar parts, and details are not repeated here.
S305: and determining a positioning sub-area where the target object is located according to the predicted position information, and awakening at least one item of intelligent household equipment arranged in the positioning sub-area.
In this step, each position coordinate included in each positioning sub-region of the positioning region is known in advance, so that the predicted position coordinate in the predicted position information is read, and the position coordinate comparison is performed, so as to determine which positioning sub-region in the positioning region the predicted position coordinate specifically corresponds to.
In one possible implementation manner, waking up at least one smart home device disposed in the positioning sub-area includes the following steps:
and automatically awakening at least one item of intelligent household equipment arranged in the positioning sub-area.
In the embodiment of the application, by introducing the automatic awakening step, the accuracy of controlling the intelligent household equipment can be improved, and the experience of a target object, especially a target user, is effectively improved.
For example, in a specific application scenario, when a target object is detected, for example, when a target user enters a positioning sub-area a-bedroom included in a positioning area, the smart television set in the positioning sub-area a is automatically awakened, and a tv drama played by the target user before is continuously played according to a history record, so that the user experience of the target user is greatly improved.
For another example, in a specific application scenario, when a target object is detected, for example, when a target user enters a positioning sub-area B-living room included in a positioning area, the intelligent desk lamp set in the positioning sub-area B is automatically woken up, and the desk lamp is automatically adjusted to the brightness frequently used by the target user according to the historical brightness of the target user for reading the book by the target user.
For another example, in a specific application scenario, when a target object is detected, for example, when a target user enters a positioning sub-area C-kitchen included in a positioning area, the smart oven set in the positioning sub-area C is automatically woken up, so that the target user can bake food.
In the above-mentioned various specific application scenarios, the detection method for detecting whether the target object enters each positioning sub-area in the positioning area is a conventional method, for example, by using an intelligent wearable device worn on the body of the target object, or by using a sensor device disposed in each positioning sub-area, where neither the detection device nor the detection method is specifically limited.
In one possible implementation manner, waking up at least one smart home device disposed in the positioning sub-area includes the following steps:
receiving a voice instruction of a target object, wherein the voice instruction carries equipment information of at least one piece of intelligent home equipment to be awakened;
and awakening the corresponding intelligent household equipment according to the equipment information in the voice instruction.
In the embodiment of the application, the voice awakening step is introduced, so that the accuracy of controlling the intelligent household equipment can be improved, and the experience of a target object, especially a target user, can be effectively improved.
For example, in a specific application scenario, when it is detected that a target object, for example, a target user enters a positioning sub-area a-bedroom included in a positioning area, the smart television set in the positioning sub-area a is awakened through a voice instruction of the target user, and a series of television plays played by the target user before is continuously played according to a history record, so that the user experience of the target user is greatly improved.
For another example, in a specific application scenario, when a target object is detected, for example, when a target user enters a positioning sub-area B-living room included in a positioning area, the target user wakes up an intelligent desk lamp disposed in the positioning sub-area B through a voice instruction of the target user, and automatically adjusts the desk lamp to a brightness frequently used by the target user according to a historical brightness of the target user, so that the target user can read a book.
For another example, in a specific application scenario, when a target object is detected, for example, when a target user enters a positioning sub-area C-kitchen included in a positioning area, the target user wakes up an intelligent oven disposed in the positioning sub-area C through a voice instruction of the target user, so that the target user can bake food.
In the above-mentioned various specific application scenarios, the detection method for detecting whether the target object enters each positioning sub-area in the positioning area is a conventional method, for example, by using an intelligent wearable device worn on the body of the target object, or by using a sensor device disposed in each positioning sub-area, where neither the detection device nor the detection method is specifically limited.
In a possible implementation manner, after waking up at least one smart home device disposed in the positioning sub-area, the control method provided in the embodiment of the present disclosure further includes the following steps:
selecting any one of a plurality of intelligent household devices as the current intelligent household device;
analyzing historical data of the target object according to a preset preference degree analysis model to obtain preference degree information of the target object;
in a possible implementation manner, the preset preference degree analysis model adopts an algorithm for calculating the preference degree of the user based on the importance degree of the application scene.
In the embodiment of the present application, a calculation formula for calculating the importance of an application scenario is as follows:
in the above formula, CkTo influence the application scenario factors of the user preference,
for representing the importance of different application scenario factors.
The importance of the application scene factors is introduced into the Bayesian network model preferred by the user, so that the calculation result of the original model can be adjusted conveniently. For this purpose, user uiIn a set of application scenarios CdNext, for the commodity attribute aijThe calculation formula of the preference degree of (c) is as follows:
wherein, ckqIs the set of application scenarios CdExamples of important effects that can be made on the user's preferences; p (a)ij∣ckq) For application scenario instance ckqNext, the user is directed to attribute category aiThe lower has the characteristic ofijThe preliminary preference value of the good.
In the embodiment of the present application, the bayesian network model based on the adopted user preference is an existing model, and therefore, details are not described herein.
And recommending the recommendation service matched with the current intelligent household equipment to the target object according to the preference information.
In the embodiment of the present application, the recommendation service is not particularly limited. For example, if the smart home device selected by the target object is a smart television, the preference information of the target object obtained by the preset preference analysis model is as follows: the users like heddles with heddles and like with channel-spitting heddles; and recommending a matched recommended video, such as a certain spout-type variety program A or a certain spout-type variety program B, to the target object according to the preference degree information of the target object obtained according to the preset preference degree analysis model.
The above are merely examples, and the other preference information of the target user may be obtained by analyzing the preset preference analysis model according to different types of smart home devices selected by the target object, and recommending the recommendation service matched with the corresponding smart home device, which is not described herein again.
In the embodiment of the disclosure, an indoor preset area of a target object is selected as a positioning area; dividing the positioning area into a plurality of positioning subareas with independent space living functions according to the space living functions of different areas of the positioning area; acquiring a positioning model for indoor positioning of a target object; positioning the indoor position of the target object according to the positioning model, and predicting the predicted position information of the target object; and determining a positioning sub-area where the target object is located according to the predicted position information, and awakening at least one item of intelligent household equipment arranged in the positioning sub-area. Therefore, by adopting the embodiment of the application, due to the introduction of the positioning model which is based on the position fingerprint, the predicted position information of the target object can be accurately positioned and predicted according to the positioning model, the positioning sub-area where the target object is located is determined according to the predicted position information, and at least one piece of intelligent home equipment arranged in the positioning sub-area is awakened, so that the accurate control of the intelligent home equipment can be realized, and the user experience is improved.
The following is an embodiment of a control device of an intelligent home device based on indoor positioning information, which may be used to execute an embodiment of a control method of an intelligent home device based on indoor positioning information. For details that are not disclosed in the embodiment of the control apparatus for smart home devices based on indoor positioning information, please refer to the embodiment of the control method for smart home devices based on indoor positioning information.
Referring to fig. 4, a schematic structural diagram of a control apparatus of a smart home device based on indoor positioning information according to an exemplary embodiment of the present invention is shown. The control device of the intelligent household equipment based on the indoor positioning information can be realized to be all or part of the terminal through software, hardware or the combination of the software and the hardware. The control device of the intelligent household equipment based on the indoor positioning information comprises a positioning area selection module 401, a sub-area division module 402, an acquisition module 403, a position prediction module 404, a determination module 405 and a wake-up module 406.
Specifically, the positioning area selecting module 401 is configured to select an indoor preset area of the target object as a positioning area;
a sub-area dividing module 402, configured to divide the positioning area into a plurality of positioning sub-areas with independent space occupancy functions according to the space occupancy functions of different areas of the positioning area selected by the positioning area selecting module 401;
an obtaining module 403, configured to obtain a positioning model for performing indoor positioning on a target object;
a position prediction module 404, configured to locate an indoor position of the target object according to the positioning model obtained by the obtaining module 403, and predict predicted position information of the target object;
a determining module 405, configured to determine a positioning sub-region where the target object is located according to the predicted position information;
and a waking module 406, configured to wake up at least one smart home device in the positioning sub-area determined by the determining module 405.
Optionally, the location model is a location model based on a location fingerprint, and the location prediction module 404 is specifically configured to:
corresponding unique preset fingerprints to any one of the plurality of positioning subareas in a position fingerprint database, wherein each preset fingerprint corresponds to unique preset position information;
carrying out target detection on a target object, and if the target object is detected to enter a positioning area, acquiring corresponding actual measurement fingerprints through a positioning model, wherein each actual measurement fingerprint corresponds to unique actual measurement position information;
and matching the actual measurement fingerprint with any fingerprint data in the position fingerprint database, and taking the position information corresponding to the preset fingerprint with the maximum similarity of the actual measurement fingerprint in the fingerprint data as the predicted position information of the target object.
Optionally, the obtaining module 403 is further configured to:
at least one preset fingerprint in the location fingerprint library is acquired.
Optionally, the obtaining module 403 is specifically configured to:
selecting any one positioning sub-region from the plurality of positioning sub-regions as a current positioning sub-region;
configuring m sampling points in the current positioning sub-area;
selecting any sampling point from the m sampling points as a current sampling point for sampling, acquiring n received signal strength indication RSSI values with AP identifications, and taking the n received signal strength indication RSSI values with the AP identifications as fingerprints of the current sampling point;
traversing all the other sampling points of the m sampling points until the sampling point fingerprint of each sampling point is obtained;
and taking sampling point fingerprints corresponding to the m sampling points as preset fingerprints of the current positioning sub-area, and storing the preset fingerprints into a position fingerprint database, wherein m and n are positive integers greater than 1.
Optionally, the wake-up module 406 is specifically configured to:
and automatically awakening at least one item of intelligent household equipment arranged in the positioning sub-area.
Optionally, the wake-up module 406 is specifically configured to:
receiving a voice instruction of a target object, wherein the voice instruction carries equipment information of at least one piece of intelligent home equipment to be awakened;
and awakening the corresponding intelligent household equipment according to the equipment information in the voice instruction.
Optionally, the apparatus further comprises:
a selecting module (not shown in fig. 4) configured to select any one of the plurality of smart home devices as a current smart home device after the waking module 406 wakes up at least one smart home device disposed in the positioning sub-area;
an analysis module (not shown in fig. 4) configured to analyze historical data of the target object according to a preset preference analysis model to obtain preference information of the target object;
and the recommending module (not shown in fig. 4) is configured to recommend, to the target object, a recommending service that is matched with the current smart home device selected by the selecting module according to the preference information analyzed by the analyzing module.
It should be noted that, when the control device for smart home devices based on indoor positioning information provided in the foregoing embodiment executes the control method for smart home devices based on indoor positioning information, the division of the functional modules is merely illustrated, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules, so as to complete all or part of the functions described above. In addition, the control device of the smart home device based on the indoor positioning information and the control method embodiment of the smart home device based on the indoor positioning information provided in the above embodiments belong to the same concept, and the detailed implementation process is shown in the control method embodiment of the smart home device based on the indoor positioning information, and is not described herein again.
In the embodiment of the disclosure, the obtaining module is configured to obtain a positioning model for indoor positioning of a target object; the position prediction module is used for positioning the indoor position of the target object according to the positioning model acquired by the acquisition module and predicting the predicted position information of the target object; the determining module is used for determining a positioning sub-region where the target object is located according to the predicted position information; and the awakening module is used for awakening at least one item of intelligent household equipment arranged in the positioning sub-area determined by the determining module. Therefore, by adopting the embodiment of the application, due to the introduction of the positioning model which is based on the position fingerprint, the predicted position information of the target object can be accurately positioned and predicted according to the positioning model, the positioning sub-area where the target object is located is determined according to the predicted position information, and at least one piece of intelligent home equipment arranged in the positioning sub-area is awakened, so that the accurate control of the intelligent home equipment can be realized, and the user experience is improved.
In one embodiment, a computer device is proposed, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: selecting an indoor preset area of a target object as a positioning area; dividing the positioning area into a plurality of positioning subareas with independent space living functions according to the space living functions of different areas of the positioning area; acquiring a positioning model for indoor positioning of a target object; positioning the indoor position of the target object according to the positioning model, and predicting the predicted position information of the target object; and determining a positioning sub-area where the target object is located according to the predicted position information, and awakening at least one item of intelligent household equipment arranged in the positioning sub-area.
In one embodiment, a storage medium is provided that stores computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of: selecting an indoor preset area of a target object as a positioning area; dividing the positioning area into a plurality of positioning subareas with independent space living functions according to the space living functions of different areas of the positioning area; acquiring a positioning model for indoor positioning of a target object; positioning the indoor position of the target object according to the positioning model, and predicting the predicted position information of the target object; and determining a positioning sub-area where the target object is located according to the predicted position information, and awakening at least one item of intelligent household equipment arranged in the positioning sub-area.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a Random Access Memory (RAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A control method of intelligent household equipment based on indoor positioning information is characterized by comprising the following steps:
selecting an indoor preset area of a target object as a positioning area;
dividing the positioning area into a plurality of positioning subareas with independent space living functions according to the space living functions of different areas of the positioning area;
acquiring a positioning model for indoor positioning of the target object;
positioning the indoor position of the target object according to the positioning model, and predicting the predicted position information of the target object;
and determining a positioning sub-area where the target object is located according to the predicted position information, and awakening at least one piece of intelligent household equipment arranged in the positioning sub-area.
2. The method of claim 1, wherein the positioning model is a positioning model based on location fingerprints, wherein the positioning the indoor location of the target object according to the positioning model, and wherein predicting the predicted location information of the target object comprises:
corresponding unique preset fingerprints to any one of the plurality of positioning subareas in a position fingerprint database, wherein each preset fingerprint corresponds to unique preset position information;
performing target detection on the target object, and if the target object is detected to enter the positioning area, acquiring corresponding actual measurement fingerprints through the positioning model, wherein each actual measurement fingerprint corresponds to unique actual measurement position information;
and matching the actually measured fingerprint with any fingerprint data in the position fingerprint database, and taking the position information corresponding to the preset fingerprint with the maximum similarity of the actually measured fingerprint in the fingerprint data as the predicted position information of the target object.
3. The method of claim 2, further comprising:
and acquiring at least one preset fingerprint in the position fingerprint database.
4. The method of claim 3, wherein the obtaining at least one preset fingerprint in the location fingerprint library comprises:
selecting any one positioning sub-region from the plurality of positioning sub-regions as a current positioning sub-region;
configuring m sampling points in the current positioning sub-area;
selecting any sampling point from the m sampling points as a current sampling point for sampling, acquiring n received signal strength indication RSSI values with AP identifications, and taking the n received signal strength indication RSSI values with the AP identifications as fingerprints of the current sampling point;
traversing all the other sampling points of the m sampling points until the sampling point fingerprint of each sampling point is obtained;
and taking sampling point fingerprints corresponding to the m sampling points as preset fingerprints of the current positioning sub-area, and storing the preset fingerprints into the position fingerprint database, wherein m and n are positive integers greater than 1.
5. The method according to claim 1, wherein waking up at least one smart home device disposed in the localized sub-area comprises:
and automatically awakening at least one item of intelligent household equipment arranged in the positioning sub-area.
6. The method according to claim 1, wherein waking up at least one smart home device disposed in the localized sub-area comprises:
receiving a voice instruction of the target object, wherein the voice instruction carries equipment information of at least one piece of intelligent home equipment to be awakened;
and awakening the corresponding intelligent household equipment according to the equipment information in the voice instruction.
7. The method according to claim 1, wherein after waking up at least one smart home device disposed in the location sub-area, the method further comprises:
selecting any one of a plurality of intelligent household devices as the current intelligent household device;
analyzing historical data of the target object according to a preset preference degree analysis model to obtain preference degree information of the target object;
recommending the recommendation service matched with the current intelligent household equipment to the target object according to the preference information.
8. The utility model provides a controlling means of intelligent household equipment based on indoor locating information which characterized in that, the device includes:
the positioning area selection module is used for selecting an indoor preset area of the target object as a positioning area;
a sub-area dividing module, configured to divide the positioning area into a plurality of positioning sub-areas having independent space occupancy functions according to the space occupancy functions of different areas of the positioning area selected by the positioning area selecting module;
the acquisition module is used for acquiring a positioning model for indoor positioning of the target object;
the position prediction module is used for positioning the indoor position of the target object according to the positioning model acquired by the acquisition module and predicting the predicted position information of the target object;
the determining module is used for determining a positioning sub-region where the target object is located according to the predicted position information;
and the awakening module is used for awakening at least one piece of intelligent household equipment arranged in the positioning sub-area determined by the determining module.
9. A computer device comprising a memory and a processor, the memory having stored therein computer readable instructions which, when executed by the processor, cause the processor to carry out the steps of the control method according to any one of claims 1 to 7.
10. A storage medium having stored thereon computer-readable instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of the control method of any one of claims 1 to 7.
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