CN113671847A - Linkage control method, system and device of intelligent household equipment and storage medium - Google Patents
Linkage control method, system and device of intelligent household equipment and storage medium Download PDFInfo
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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
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The application relates to a linkage control method, a linkage control system, a linkage control device, linkage control equipment and a storage medium of intelligent household equipment, wherein the method comprises the following steps: monitoring a current motion parameter value of the target object; and if the target object is judged to make a getting-up action based on the current motion parameter value, controlling the intelligent household equipment to be linked. The method and the device are used for solving the problems that the existing linkage scheme is not intelligent enough and has large limitation, and the user experience is poor.
Description
Technical Field
The present disclosure relates to the field of smart home device control, and in particular, to a method, a system, an apparatus, a device, and a storage medium for linkage control of smart home devices.
Background
With the continuous popularization of the internet technology, the development of the smart home technology is guaranteed, wherein the getting-up mode of the smart home is also rapidly developed, and the traditional one-key getting-up mode is realized by setting the getting-up time. After the set time, a series of linkage of intelligent household equipment such as alarm clocks, curtains, lamplight and the like can occur.
However, since the linkage can be generated only when the set time is reached in the prior art, if the user goes to the toilet at night, the linkage can not be generated because the set time is not reached yet, the user is not intelligent enough, the user experience is seriously influenced.
Disclosure of Invention
The application provides a linkage control method, a linkage control system, a linkage control device, linkage control equipment and a storage medium of intelligent household equipment, and aims to solve the problem that the existing linkage scheme is not intelligent enough and has large limitation, so that the user experience is poor.
In a first aspect, an embodiment of the present application provides a linkage control method for smart home devices, including:
monitoring a current motion parameter value of the target object;
and if the target object is judged to make a getting-up action based on the current motion parameter value, controlling the intelligent household equipment to be linked.
Optionally, the determining that the target object makes a getting-up action based on the current motion parameter value includes:
performing inertial solution on the current motion parameter value to obtain the current behavior characteristic quantity of the target object;
inputting the current behavior characteristic quantity into a pre-trained self-adaptive neural network fuzzy inference system model to obtain an output value;
and if the output value is judged to be larger than or equal to a preset threshold value, determining that the target object performs the getting-up action.
Optionally, the determining that the output value is greater than or equal to a preset threshold includes:
acquiring a preset threshold corresponding to the target object;
determining that the output value is greater than or equal to the preset threshold.
Optionally, the obtaining of the preset threshold corresponding to the target object includes:
acquiring a historical motion parameter value of the target object when the target object performs a getting-up action;
carrying out inertial solution on the historical motion parameter values to obtain historical behavior characteristic quantities;
training a self-adaptive neural network fuzzy inference system model based on the historical behavior characteristic quantity to obtain a historical output value;
and determining a preset threshold corresponding to the target object according to the historical output value.
Optionally, the adaptive neural network fuzzy inference system model includes: a triangular membership function;
training an adaptive neural network fuzzy inference system model based on the historical behavior characteristic quantity to obtain a historical output value, wherein the training comprises the following steps:
determining a fuzzy set to which the historical behavior characteristic quantity belongs;
acquiring a triangular membership function corresponding to the fuzzy set;
and substituting the historical behavior characteristic quantity into a triangular membership function, and calculating to obtain the historical output value.
Optionally, control the linkage of intelligent household equipment includes:
acquiring the current moment of judging the getting-up action of the target object;
and controlling the intelligent household equipment to link based on the current moment.
Optionally, the smart home device includes: a first lighting device for a first designated indoor space;
based on the current moment control smart home devices linkage includes:
and when the current moment is determined to be within the preset rest time period of the target object, controlling the first lighting device to be turned on.
Optionally, the smart home device includes: a window covering and a second lighting device that specifies an indoor space;
based on the current moment control smart home devices linkage includes:
if the current time is determined to be within the preset working time period of the target object, controlling the curtain to be pulled open;
detecting a brightness parameter value of light of a second specified indoor space where the target object is located after the curtain is pulled open;
and if the brightness parameter value is smaller than a preset brightness parameter value, controlling the second lighting device to be started.
In a second aspect, an embodiment of the present application provides a linkage control system for smart home devices, including: the system comprises a sensor, a server and at least one intelligent household device; the sensor and the server establish communication connection; each intelligent household device establishes communication connection with the server;
the sensor is used for monitoring the current motion parameter value of the target object;
and the server is used for controlling the intelligent household equipment to link when the target object is judged to get up based on the current motion parameter value.
In a third aspect, an embodiment of the present application provides a linkage control device for smart home devices, including:
the monitoring module is used for monitoring the current motion parameter value of the target object;
and the control module is used for controlling the intelligent household equipment to be linked if the target object is judged to make a getting-up action based on the current motion parameter value.
In a fourth aspect, an embodiment of the present application provides an electronic device, including: the system comprises a processor, a memory and a communication bus, wherein the processor and the memory are communicated with each other through the communication bus;
the memory for storing a computer program;
the processor is configured to execute the program stored in the memory, and implement the linkage control method for the smart home devices according to the first aspect.
In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the method for linkage control of smart home devices in the first aspect is implemented.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages: according to the method provided by the embodiment of the application, the current motion parameter value of the target object is monitored, the target object is judged to get up based on the current motion parameter value, and then the intelligent household equipment is controlled to be linked. The scheme that this application embodiment provided can judge the target object according to the current motion parameter value of target object and make the action of getting up, and the accuracy of judgement is higher, compares in prior art fixed a certain time as the trigger time point of linkage scheme, and the flexibility is higher, can make accurate judgement according to the current motion parameter of current target object, and is more intelligent, and user experience is good.
Drawings
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.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic diagram of a system architecture applied to a linkage control method of smart home devices according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a linkage control method for smart home devices according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a method for obtaining respective preset thresholds of different target objects according to an embodiment of the present application;
fig. 4 is an overall flowchart schematic diagram of a linkage control method for smart home devices according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a linkage control device of smart home equipment according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but 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 application.
Among the prior art, the linkage of getting up is mainly a key mode, only can just can produce the linkage when arriving the time of settlement, and is intelligent inadequately, and the limitation is great, leads to user experience poor.
In order to solve the above technical problem, an embodiment of the present application provides a linkage control method for smart home devices, and first, a system architecture applied to the linkage control method for smart home devices provided in the embodiment of the present application is described with reference to fig. 1. As shown in fig. 1, an embodiment of the present application provides a linkage control system for smart home devices, including: the system comprises a sensor 101, a server 102 and at least one smart home device 103; the sensor 101 and the server 102 establish communication connection; each smart home device 103 establishes communication connection with the server 102; a sensor 101 for monitoring a current motion parameter value of the target object; and the server 102 is used for controlling the intelligent household equipment 103 to link when the target object is judged to make a getting-up action based on the current motion parameter value.
In a specific implementation, the number of the sensors may be one or more, for example: each family member may wear a sensor individually. The server 102 and the sensor 101, and the server 102 and each smart home device 103 may be in communication connection in a local WIFI local area network, a Zigbee network, a bluetooth mesh network, or the like. The smart home devices may be lighting devices, curtains, alarm clocks, smart speakers, or the like, and it should be noted here that the smart home devices may also be air conditioners, televisions, air purifiers, or the like, which are not limited herein and may be any smart home devices.
The linkage control method for the smart home devices provided in the embodiment of the present application is further described in detail with reference to fig. 2, and as shown in fig. 2, the linkage control method for the smart home devices includes:
in a specific implementation, a sensor is used to monitor a current motion parameter value of a target object, wherein the target object may be a person, and in particular, may be a member of each family in the family. Specifically, the current motion parameter value of the target object may be detected by using an MEMS-IMU sensor, where the MEMS-IMU sensor is used to monitor the three-axis attitude angle and acceleration of the human body, and the current motion parameter value includes: angular velocity values and acceleration values. In particular implementations, a MEMS-IMU (micro electro mechanical system inertial measurement Unit) sensor may periodically monitor a current motion parameter value of a target object.
And 202, if the target object is judged to make a getting-up action based on the current motion parameter value, controlling the intelligent household equipment to link.
The method comprises the steps of carrying out inertial solution on current motion parameters to obtain characteristic quantities such as postures, speeds and displacements of human bodies, carrying out filtering processing on the characteristic quantities obtained by the solution to remove some interference factors to obtain current behavior characteristic quantities, inputting the current behavior characteristic quantities into a pre-trained adaptive neural network fuzzy inference system model (ANFIS model) to obtain output values, judging whether the output values are larger than or equal to a preset threshold value, determining that a target object makes a getting-up action if the output values are larger than or equal to the preset threshold value, and controlling intelligent home equipment to be linked.
When the target object is judged to make the getting-up action and the intelligent household equipment is controlled to be linked, the current moment of the getting-up action made by the target object can be combined at the same time, and the intelligent household equipment is controlled to be linked based on the current moment.
Specifically, when the current time is determined to be within the preset rest time period of the target object, the first lighting device is controlled to be turned on. The preset rest time period is preset for the target object, for example: the preset rest time period is as follows: and (3) from 23 o 'clock to 7 o' clock in the morning of the next day every day, if the user gets up to go to the toilet at 3 o 'clock in the morning and gets up to the toilet at 3 o' clock in the morning within a preset rest time period, controlling a first lighting device to be turned on, wherein the first lighting device can be a lighting device of the toilet, a lighting device of a bed head or other lighting devices which do not influence the sleep of other family members. According to the technical scheme, on the basis that the sleep of other family members is not influenced, certain illumination is provided for the user at night, and the phenomenon that the user feels dark and walks around and an accident happens is avoided. Because the sensor periodically obtains the current motion parameter value of target object, when detecting that target object lies on the bed, then control first lighting device and close, avoid wasting the electricity, build a good sleep environment for target object simultaneously.
If the current time is determined to be within the preset working time period of the target object, controlling the curtain to be pulled open; detecting a brightness parameter value of light of a second specified indoor space where the target object is located after the curtain is pulled open; and if the brightness parameter value is smaller than the preset brightness parameter value, controlling the second lighting device to be started.
During specific implementation, the target object may preset a preset working time period according to its own needs, for example: the preset working time period set by a family member is 7 am-23 pm every day, and the second designated indoor space can be a bedroom. If the user gets up at 7 o 'clock in the morning and is in the preset working time period preset by the user at 7 o' clock in the morning, controlling to pull the curtain open, detecting the brightness parameter value of the light of the bedroom where the target object is located after the curtain is pulled open, and controlling the second lighting device of the bedroom to be started to provide enough lighting if the brightness of the bedroom is insufficient. In addition, in order to call other family members to get up, the alarm clock can be controlled to be turned on, and the sound box can be controlled to play music.
In addition, it should be noted that the sensor periodically acquires the current motion parameter value of the target object, and if the target object is determined to be in the sleep state according to the motion parameter value acquired in the current period, the sensor acquires the motion parameter value of the next week and continues to monitor the human behavior characteristics.
In the embodiment of the application, the linkage scheme of the intelligent household equipment is determined by combining the current behavior state and the current time of the target object, so that the intelligent household equipment is more intelligent, the actual requirements of users can be met, and the user experience is good.
In the embodiment of the application, the current motion parameter value of the target object is monitored, and the target object is judged to get up based on the current motion parameter value, so that the intelligent household equipment is controlled to be linked. The scheme that this application embodiment provided can judge the target object according to the current motion parameter value of target object and make the action of getting up, and the accuracy of judgement is higher, compares in prior art fixed a certain time as the trigger time point of linkage scheme, and the flexibility is higher, can make accurate judgement according to the current motion parameter of current target object, and is more intelligent, and user experience is good.
In addition, during specific implementation, the preset threshold values of different target objects are different, for a family, the corresponding preset threshold values of each family member may be different, in order to be more intelligent, user experience is better, training can be performed in advance according to the getting-up habits of different target objects and the historical motion parameter values of the different target objects, and the respective preset threshold values of the different target objects are obtained.
In view of this point, as shown in fig. 3, an embodiment of the present application provides a method for obtaining respective preset thresholds of different target objects, where the method trains an adaptive neural network fuzzy inference system model through respective historical motion parameter values of each target object, so as to obtain the preset threshold of each target object, and specifically includes the following steps:
the habitual getting-up actions of different target objects are different; moreover, the characteristics of the getting-up action of the same target object are different at different times, for example: a young woman may have awkward waking up during the more pregnant months, and may be more flexible during non-pregnancy and early pregnancy. In specific implementation, each target object wears one sensor, and during training, a user can select training time to train according to the physical condition of the user. During specific implementation, training instructions are sent to the server through the sensors, after the sensors receive the instructions for acquiring the motion parameter values fed back by the server, the target object performs multiple groups of getting-up actions, and the sensors acquire the motion parameter values of the target object during the getting-up actions so as to train a subsequent model.
the method of inertial solution is not limited here, and an inertial solution method carried by the MEMS-IMU sensor can be used; and after the inertia calculation, filtering the characteristic quantity obtained by the inertia calculation to remove some interference factors, and finally obtaining the historical behavior characteristic quantity.
the adaptive neural network fuzzy inference system model can select a triangular membership function. When obtaining the historical output value, the specific method comprises the following steps: determining a fuzzy set to which the historical behavior characteristic quantity belongs; acquiring a triangular membership function corresponding to the fuzzy set; and substituting the historical behavior characteristic quantity into the triangular membership function, and calculating to obtain a historical output value.
In specific implementation, the adaptive neural network fuzzy inference system model may be a triangular membership function, which is:
wherein x represents a behavior characteristic quantity, specifically, a posture, a speed or a displacement. a. b and c are three parameters of a triangular membership function; wherein b is a standard value; a is less than b, and a is a lower limit value; c is larger than b, and c is an upper limit value.
The training method for the three characteristic quantities of the posture, the speed or the displacement is consistent in thinking, and the process of training the adaptive neural network fuzzy inference system model is illustrated below by taking the historical behavior characteristic quantity as the speed.
Assuming that a velocity value 2 group of the target object is acquired, setting the velocity value in the first group as x0, taking the value as a standard value b, adding a preset value delta x on the basis of x0, and taking the obtained value as a lower limit value a; subtracting a preset value delta x on the basis of x0 to obtain a value serving as an upper limit value c; the preset value Δ x may be preset empirically, so as to obtain a triangle membership function model established by using the first group of data. Determining the fuzzy set to which x belongs by taking the speed value of the second group as x, if the speed value of the second group falls into the range that a is more than or equal to x is more than or equal to b, the fuzzy set to which x belongs is more than or equal to a and less than or equal to b, and utilizing the corresponding fuzzy set that a is more than or equal to x is more than or equal to b
To calculate a historical output value, substituting the velocity values of the second group as x
The obtained value is the historical output value.
And step 304, determining a preset threshold corresponding to the target object according to the historical output value.
In specific implementation, the historical output value may be used as a preset threshold, a preset correction value may be subtracted from the historical output value, and the obtained difference value may be used as the preset threshold. Or a plurality of historical output values can be obtained, the average value of the plurality of historical output values is calculated, and the average value is used as a preset threshold value; a preset correction value can also be subtracted on the basis of the average value, and the obtained difference value is used as a preset threshold value.
In addition, when a plurality of historical output values are acquired, a minimum value and a maximum value can be set, when the acquired historical output value is smaller than the minimum value or larger than the maximum value, the historical output value is rejected, the historical output value between the minimum value and the maximum value is used as an effective historical output value, and a preset threshold value is determined according to the effective historical output value. Specifically, a certain valid history output value may be used as a preset threshold, or a preset correction value may be subtracted from the valid history output value to obtain a preset threshold. The average value of a plurality of effective historical output values can be calculated, and the average value is used as a preset threshold value; a preset correction value can be subtracted from the average value of the effective historical output values, and the obtained difference value is used as a preset threshold value. The method for determining the preset threshold is not limited herein, and any method may be adopted.
And after the preset threshold value of each target object is obtained, storing the preset threshold value in a server for calling in the subsequent identification process.
The technical scheme provided by the present application is further described with reference to fig. 4, which specifically includes the following two parts:
a first part: training an ANFIS model to obtain a preset threshold of a target object, and specifically comprising the following steps:
A second part: the method for recognizing the getting-up action of the target object specifically comprises the following steps:
in the embodiment of the application, the motion parameter value of the target object is detected through the sensor, whether the target object gets up is judged based on the motion parameter value, and if the target object gets up, the intelligent household equipment is controlled to be linked.
Based on the same concept, the embodiment of the present application provides a linkage control device for smart home devices, and specific implementation of the device may refer to the description of the method embodiment section, and repeated details are not repeated, as shown in fig. 5, the device mainly includes:
a monitoring module 501, configured to monitor a current motion parameter value of a target object;
the control module 502 is configured to control the smart home device to perform linkage if it is determined that the target object performs a get-up action based on the current motion parameter value.
In a specific embodiment, the control module 502 is configured to perform inertial solution on a current motion parameter value to obtain a current behavior feature quantity of a target object; inputting the current behavior characteristic quantity into a pre-trained self-adaptive neural network fuzzy inference system model to obtain an output value; and if the output value is judged to be larger than or equal to the preset threshold value, determining that the target object performs the getting-up action.
In a specific embodiment, the control module 502 is specifically configured to obtain a preset threshold corresponding to a target object; determining that the output value is greater than or equal to a preset threshold.
In a specific embodiment, the control module 502 is specifically configured to obtain a historical motion parameter value of the target object when the target object performs the getting-up motion; carrying out inertial solution on the historical motion parameter values to obtain historical behavior characteristic quantities; training a self-adaptive neural network fuzzy inference system model based on historical behavior characteristic quantities to obtain a historical output value; and determining a preset threshold corresponding to the target object according to the historical output value.
In a specific embodiment, the control module 502 is specifically configured to determine a fuzzy set to which the historical behavior feature quantity belongs; acquiring a triangular membership function corresponding to the fuzzy set; and substituting the historical behavior characteristic quantity into the triangular membership function, and calculating to obtain a historical output value.
In an embodiment, the control module 502 is specifically configured to obtain a current time when the target object is determined to make the getting-up motion; and controlling the linkage of the intelligent household equipment based on the current moment.
In a specific embodiment, the control module 502 is specifically configured to be used as an intelligent home device, and includes: and when the first lighting device of the first designated indoor space is determined to be in the preset rest time period of the target object at the current moment, controlling the first lighting device to be turned on.
In a specific embodiment, the control module 502 is specifically configured to be used as an intelligent home device, and includes: when the curtain and a second lighting device of a second designated indoor space are used, if the current time is determined to be within the preset working time period of the target object, the curtain is controlled to be pulled open; detecting a brightness parameter value of light of a second specified indoor space where the target object is located after the curtain is pulled open; and if the brightness parameter value is smaller than the preset brightness parameter value, controlling the second lighting device to be started.
In the embodiment of the application, the current motion parameter value of the target object is monitored, and the target object is judged to get up based on the current motion parameter value, so that the intelligent household equipment is controlled to be linked. The scheme that this application embodiment provided can judge the target object according to the current motion parameter value of target object and make the action of getting up, and the accuracy of judgement is higher, compares in prior art fixed a certain time as the trigger time point of linkage scheme, and the flexibility is higher, can make accurate judgement according to the current motion parameter of current target object, and is more intelligent, and user experience is good.
Based on the same concept, an embodiment of the present application further provides an electronic device, as shown in fig. 6, the electronic device mainly includes: a processor 601, a memory 602, and a communication bus 603, wherein the processor 601 and the memory 602 communicate with each other via the communication bus 603. The memory 602 stores a program executable by the processor 601, and the processor 601 executes the program stored in the memory 602 to implement the following steps:
monitoring a current motion parameter value of the target object;
and if the target object is judged to make the getting-up action based on the current motion parameter value, controlling the intelligent household equipment to link.
The communication bus 603 mentioned in the above electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 603 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 6, but this is not intended to represent only one bus or type of bus.
The Memory 602 may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Alternatively, the memory may be at least one storage device located remotely from the processor 601.
The Processor 601 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like, and may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components.
In another embodiment of the present application, a computer-readable storage medium is further provided, where a computer program is stored in the computer-readable storage medium, and when the computer program runs on a computer, the computer is caused to execute a linkage control method of smart home devices described in the foregoing embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The available media may be magnetic media (e.g., floppy disks, hard disks, tapes, etc.), optical media (e.g., DVDs), or semiconductor media (e.g., solid state drives), among others.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (12)
1. The linkage control method of the intelligent household equipment is characterized by comprising the following steps:
monitoring a current motion parameter value of the target object;
and if the target object is judged to make a getting-up action based on the current motion parameter value, controlling the intelligent household equipment to be linked.
2. The linkage control method of intelligent household equipment according to claim 1, wherein the determining that the target object makes a getting-up action based on the current motion parameter value comprises:
performing inertial solution on the current motion parameter value to obtain the current behavior characteristic quantity of the target object;
inputting the current behavior characteristic quantity into a pre-trained self-adaptive neural network fuzzy inference system model to obtain an output value;
and if the output value is judged to be larger than or equal to a preset threshold value, determining that the target object performs the getting-up action.
3. The linkage control method of intelligent household equipment according to claim 2, wherein the determining that the output value is greater than or equal to a preset threshold value comprises:
acquiring a preset threshold corresponding to the target object;
determining that the output value is greater than or equal to the preset threshold.
4. The linkage control method of intelligent household equipment according to claim 3, wherein the obtaining of the preset threshold corresponding to the target object comprises:
acquiring a historical motion parameter value of the target object when the target object performs a getting-up action;
carrying out inertial solution on the historical motion parameter values to obtain historical behavior characteristic quantities;
training a self-adaptive neural network fuzzy inference system model based on the historical behavior characteristic quantity to obtain a historical output value;
and determining a preset threshold corresponding to the target object according to the historical output value.
5. The linkage control method of intelligent household equipment according to claim 4, wherein the adaptive neural network fuzzy inference system model comprises: a triangular membership function;
training an adaptive neural network fuzzy inference system model based on the historical behavior characteristic quantity to obtain a historical output value, wherein the training comprises the following steps:
determining a fuzzy set to which the historical behavior characteristic quantity belongs;
acquiring a triangular membership function corresponding to the fuzzy set;
and substituting the historical behavior characteristic quantity into a triangular membership function, and calculating to obtain the historical output value.
6. The linkage control method of the intelligent household equipment according to any one of claims 1 to 5, wherein the controlling of linkage of the intelligent household equipment comprises:
acquiring the current moment of judging the getting-up action of the target object;
and controlling the intelligent household equipment to link based on the current moment.
7. The linkage control method of the intelligent household equipment according to claim 6, wherein the intelligent household equipment comprises: a first lighting device for a first designated indoor space;
based on the current moment control smart home devices linkage includes:
and when the current moment is determined to be within the preset rest time period of the target object, controlling the first lighting device to be turned on.
8. The linkage control method of the intelligent household equipment according to claim 6, wherein the intelligent household equipment comprises: a window covering and a second lighting device that specifies an indoor space;
based on the current moment control smart home devices linkage includes:
if the current time is determined to be within the preset working time period of the target object, controlling the curtain to be pulled open;
detecting a brightness parameter value of light of a second specified indoor space where the target object is located after the curtain is pulled open;
and if the brightness parameter value is smaller than a preset brightness parameter value, controlling the second lighting device to be started.
9. The utility model provides a smart home devices's coordinated control system which characterized in that includes: the system comprises a sensor, a server and at least one intelligent household device; the sensor and the server establish communication connection; each intelligent household device establishes communication connection with the server;
the sensor is used for monitoring the current motion parameter value of the target object;
and the server is used for controlling the intelligent household equipment to link when the target object is judged to get up based on the current motion parameter value.
10. The utility model provides a linkage control device of intelligent household equipment which characterized in that includes:
the monitoring module is used for monitoring the current motion parameter value of the target object;
and the control module is used for controlling the intelligent household equipment to be linked if the target object is judged to make a getting-up action based on the current motion parameter value.
11. An electronic device, comprising: the system comprises a processor, a memory and a communication bus, wherein the processor and the memory are communicated with each other through the communication bus;
the memory for storing a computer program;
the processor is configured to execute the program stored in the memory, and implement the linkage control method of the smart home device according to any one of claims 1 to 8.
12. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the method for linkage control of smart home devices according to any one of claims 1 to 8.
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