CN117055394A - Data acquisition management method and system in smart home - Google Patents
Data acquisition management method and system in smart home Download PDFInfo
- Publication number
- CN117055394A CN117055394A CN202311037698.XA CN202311037698A CN117055394A CN 117055394 A CN117055394 A CN 117055394A CN 202311037698 A CN202311037698 A CN 202311037698A CN 117055394 A CN117055394 A CN 117055394A
- Authority
- CN
- China
- Prior art keywords
- intelligent home
- home devices
- devices
- intelligent
- operation data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000007726 management method Methods 0.000 title claims description 82
- 238000000034 method Methods 0.000 claims abstract description 20
- 238000013480 data collection Methods 0.000 claims description 28
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000013523 data management Methods 0.000 claims description 13
- 238000004891 communication Methods 0.000 claims description 6
- 238000010276 construction Methods 0.000 claims description 6
- 230000004927 fusion Effects 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 6
- 230000000875 corresponding effect Effects 0.000 description 120
- 230000011218 segmentation Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 3
- 238000012163 sequencing technique Methods 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- 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]
Landscapes
- Selective Calling Equipment (AREA)
Abstract
The invention provides a method and a system for data acquisition and management in smart home, and relates to the technical field of smart home. In the invention, for each intelligent home equipment, operation data acquisition operation is carried out on the intelligent home equipment so as to output an operation data set corresponding to the intelligent home equipment. For each two intelligent home devices in the plurality of intelligent home devices, performing a correlation determination operation on the two intelligent home devices according to the operation data sets corresponding to the two intelligent home devices, so as to output a device correlation coefficient between the two intelligent home devices. And performing association management operation on the plurality of intelligent home devices according to the device correlation coefficient between every two intelligent home devices so as to mark every two intelligent home devices with association relation as associated intelligent home devices corresponding to each other. Based on the method, the problem of poor control effect of the smart home in the prior art can be solved.
Description
Technical Field
The invention relates to the technical field of smart home, in particular to a data acquisition management method and system in a smart home.
Background
In the technical field of smart home, in order to improve the control accuracy of home devices, not only the operation parameters of the home devices themselves, but also the operation parameters of other home devices, which are formed in history, need to be considered. In order to ensure higher control precision, related other household equipment needs to be determined when the operation parameters of other household equipment are referred to, however, in the prior art, different household equipment is generally associated based on experience of management and control personnel, so that the problem of poor management and control effect on intelligent household equipment is easy to occur.
Disclosure of Invention
Therefore, the present invention is directed to a method and a system for data collection and management in smart home, so as to solve the problem of poor control effect of smart home in the prior art.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical scheme:
the utility model provides a data acquisition management method in wisdom house is applied to wisdom house management and control platform, wisdom house management and control platform and a plurality of wisdom house equipment communication connection, data acquisition management method in the wisdom house includes:
For each intelligent home device in the plurality of intelligent home devices, performing operation data acquisition operation on the intelligent home device to output operation data sets corresponding to the intelligent home device, wherein each operation data set comprises at least one piece of device operation data;
for each two intelligent home devices in the plurality of intelligent home devices, performing a correlation determination operation on the two intelligent home devices according to the operation data sets corresponding to the two intelligent home devices so as to output a device correlation coefficient between the two intelligent home devices;
and performing association management operation on the plurality of intelligent home devices according to the device correlation coefficient between every two intelligent home devices so as to mark every two intelligent home devices with association relations as associated intelligent home devices corresponding to each other.
In some preferred embodiments, in the method for data collection and management in smart home, the step of performing, for each of the plurality of smart home devices, an operation data collection operation on the smart home device to output an operation data set corresponding to the smart home device includes:
For each intelligent home device in the plurality of intelligent home devices, performing instruction issuing operation on the intelligent home device to issue an operation data acquisition instruction to the intelligent home device, wherein the operation data acquisition instruction is used for controlling the intelligent home device to send the device operation data to the intelligent home management and control platform after each new device operation data is formed by the intelligent home device;
and for each intelligent household device in the plurality of intelligent household devices, after receiving the currently formed device operation data sent by the intelligent household device according to the operation data acquisition instruction, adding the device operation data into an operation data set corresponding to the intelligent household device.
In some preferred embodiments, in the above smart home data collection management method, the step of adding, for each of the plurality of smart home devices, the device operation data to the operation data set corresponding to the smart home device after receiving the currently formed device operation data sent by the smart home device according to the operation data collection instruction, includes:
for each intelligent home device in the plurality of intelligent home devices, when the intelligent home device is subjected to instruction issuing operation, performing set construction operation on the intelligent home device to output a corresponding operation data set, wherein the operation data set belongs to an empty set during construction;
And for each intelligent household device in the plurality of intelligent household devices, after receiving the currently formed device operation data sent by the intelligent household device according to the operation data acquisition instruction, adding the device operation data into the operation data set corresponding to the intelligent household device.
In some preferred embodiments, in the above smart home data collection management method, the step of performing, for each two smart home devices of the plurality of smart home devices, a correlation determination operation on the two smart home devices according to the operation data sets corresponding to the two smart home devices to output a device correlation coefficient between the two smart home devices includes:
for each two intelligent home devices in the plurality of intelligent home devices, performing data similarity calculation operation on operation data sets corresponding to the two intelligent home devices to output data similarity between the operation data sets corresponding to the two intelligent home devices;
and for every two intelligent household devices in the plurality of intelligent household devices, performing correlation determination operation on the two intelligent household devices according to the data similarity between the corresponding operation data sets of the two intelligent household devices, and outputting the device correlation coefficient between the two intelligent household devices.
In some preferred embodiments, in the above smart home data collection management method, the step of performing a correlation determination operation on each of two smart home devices according to a data similarity between operation data sets corresponding to the two smart home devices, and outputting a device correlation coefficient between the two smart home devices includes:
for each of the plurality of smart home devices, performing a device location determination operation on the smart home device to output device location information corresponding to the smart home device, and performing a device user identity determination operation on the smart home device to output device user identity information corresponding to the smart home device;
for each two intelligent home devices in the plurality of intelligent home devices, performing device position distance calculation operation on the two intelligent home devices according to the device position information corresponding to the two intelligent home devices to output device position distance information between the two intelligent home devices, and performing position correlation determination operation on the two intelligent home devices according to the device position distance information between the two intelligent home devices to output position correlation between the two intelligent home devices;
For each two intelligent home devices in the plurality of intelligent home devices, searching operation is carried out from a predetermined user identity relation database according to the device user identity information corresponding to the two intelligent home devices so as to output the user identity relativity corresponding to the two intelligent home devices;
for each two intelligent home devices in the plurality of intelligent home devices, performing data fusion operation according to the data similarity between the operation data sets corresponding to the two intelligent home devices, the position correlation between the two intelligent home devices and the user identity correlation corresponding to the two intelligent home devices, so as to perform correlation determination operation on the two intelligent home devices and output the device correlation coefficient between the two intelligent home devices.
In some preferred embodiments, in the method for data collection and management in smart home, the step of performing association management operation on the plurality of smart home devices according to the device correlation coefficient between each two smart home devices to mark each two smart home devices having association relationship as associated smart home devices corresponding to each other includes:
For each intelligent home device in the plurality of intelligent home devices, performing device type determining operation on the intelligent home device to output device type information corresponding to the intelligent home device;
classifying the plurality of intelligent home devices according to the device type information corresponding to each intelligent home device to output at least one device classification set corresponding to the plurality of intelligent home devices, wherein each device classification set comprises a plurality of intelligent home devices, for each device classification set, the device type information corresponding to any two intelligent home devices included in the device classification set is the same, and for each two device classification sets, the device type information corresponding to any two intelligent home devices of the two device classification sets are different;
and for each equipment classification set in the at least one equipment classification set, performing association management operation on a plurality of intelligent home equipment included in the equipment classification set according to the equipment correlation coefficient between every two intelligent home equipment so as to mark every two intelligent home equipment with association relation as associated intelligent home equipment corresponding to each other.
In some preferred embodiments, in the above smart home data collection management method, the step of performing, for each device class set in the at least one device class set, an association management operation on a plurality of smart home devices included in the device class set according to a device correlation coefficient between each two smart home devices, so as to mark each two smart home devices having an association relationship as associated smart home devices corresponding to each other, includes:
for each equipment classification set in the at least one equipment classification set, performing size comparison operation on equipment correlation coefficients between every two intelligent home equipment included in the equipment classification set and a predetermined correlation threshold value respectively to output size comparison results between the equipment correlation coefficients between every two intelligent home equipment and the correlation threshold value;
and for each two intelligent home devices included in each device classification set of the at least one device classification set, marking the two intelligent home devices as having an association relationship and marking the two intelligent home devices as associated intelligent home devices corresponding to each other under the condition that the device correlation coefficient between the two intelligent home devices and the magnitude comparison result between the correlation threshold value represent that the device correlation coefficient is larger than or equal to the correlation threshold value.
The embodiment of the invention also provides a data acquisition management system in the smart home, which is applied to a smart home management and control platform, wherein the smart home management and control platform is in communication connection with a plurality of smart home devices, and the data acquisition management system in the smart home comprises:
the data acquisition module is used for carrying out operation data acquisition operation on each intelligent household device in the plurality of intelligent household devices so as to output operation data sets corresponding to the intelligent household devices, wherein each operation data set comprises at least one piece of device operation data;
the correlation determination module is used for performing correlation determination operation on each two intelligent household devices in the plurality of intelligent household devices according to the corresponding operation data sets of the two intelligent household devices so as to output device correlation coefficients between the two intelligent household devices;
and the association management module is used for carrying out association management operation on the plurality of intelligent home devices according to the device correlation coefficient between every two intelligent home devices so as to mark every two intelligent home devices with association relations as associated intelligent home devices corresponding to each other.
In some preferred embodiments, in the foregoing smart home data collection management system, the relevance determining module is specifically configured to:
for each two intelligent home devices in the plurality of intelligent home devices, performing data similarity calculation operation on operation data sets corresponding to the two intelligent home devices to output data similarity between the operation data sets corresponding to the two intelligent home devices;
and for every two intelligent household devices in the plurality of intelligent household devices, performing correlation determination operation on the two intelligent household devices according to the data similarity between the corresponding operation data sets of the two intelligent household devices, and outputting the device correlation coefficient between the two intelligent household devices.
In some preferred embodiments, in the smart home data collection management system, the association management module is specifically configured to:
for each intelligent home device in the plurality of intelligent home devices, performing device type determining operation on the intelligent home device to output device type information corresponding to the intelligent home device;
classifying the plurality of intelligent home devices according to the device type information corresponding to each intelligent home device to output at least one device classification set corresponding to the plurality of intelligent home devices, wherein each device classification set comprises a plurality of intelligent home devices, for each device classification set, the device type information corresponding to any two intelligent home devices included in the device classification set is the same, and for each two device classification sets, the device type information corresponding to any two intelligent home devices of the two device classification sets are different;
And for each equipment classification set in the at least one equipment classification set, performing association management operation on a plurality of intelligent home equipment included in the equipment classification set according to the equipment correlation coefficient between every two intelligent home equipment so as to mark every two intelligent home equipment with association relation as associated intelligent home equipment corresponding to each other.
According to the method and the system for data acquisition management in the smart home, provided by the embodiment of the invention, for each smart home device, operation data acquisition operation is performed on the smart home device so as to output an operation data set corresponding to the smart home device. For each two intelligent home devices in the plurality of intelligent home devices, performing a correlation determination operation on the two intelligent home devices according to the operation data sets corresponding to the two intelligent home devices, so as to output a device correlation coefficient between the two intelligent home devices. And performing association management operation on the plurality of intelligent home devices according to the device correlation coefficient between every two intelligent home devices so as to mark every two intelligent home devices with association relation as associated intelligent home devices corresponding to each other. Therefore, the reliability of the performed association management operation is higher, and the problem of poor management and control effects of smart home in the prior art is solved.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
Fig. 1 is a block diagram of a smart home management and control platform according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating steps involved in a method for data collection and management in a smart home according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of each module included in the data acquisition management system in the smart home according to the embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the embodiment of the invention provides a smart home management and control platform. The smart home management and control platform can include a memory and a processor.
It should be noted that in some possible implementations, the memory and the processor are electrically connected directly or indirectly to implement transmission or interaction of data. For example, electrical connection may be made to each other via one or more communication buses or signal lines. The memory may store at least one software functional module (computer program) that may exist in the form of software or firmware. The processor may be configured to execute the executable computer program stored in the memory, so as to implement the method for data collection management in smart home provided by the embodiment of the present invention.
It should be noted that in some possible implementations, the Memory may be, but is not limited to, random access Memory (Random Access Memory, RAM), read Only Memory (ROM), programmable Read Only Memory (Programmable Read-Only Memory, PROM), erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), and the like. The processor may be a general purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), a System on Chip (SoC), etc.; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
It should be noted that, in some possible implementations, the smart home management platform may be a server with data processing capability.
With reference to fig. 2, the embodiment of the invention further provides a data collection management method in the smart home, which can be applied to the smart home management and control platform. The method steps defined by the flow related to the intelligent home data acquisition management method can be realized by the intelligent home management and control platform. The intelligent home management and control platform is in communication connection with a plurality of intelligent home devices (such as intelligent air conditioners, intelligent water heaters, intelligent curtains and the like). The specific flow shown in fig. 2 will be described in detail.
Step S110, for each of the plurality of smart home devices, performing operation data acquisition operation on the smart home device to output an operation data set corresponding to the smart home device.
In the embodiment of the invention, the smart home management and control platform is used for executing operation data acquisition operation on each of the plurality of smart home devices so as to output an operation data set corresponding to the smart home device. Each of the operational data sets includes at least one piece of device operational data.
Step S120, for each two smart home devices in the plurality of smart home devices, performing a correlation determination operation on the two smart home devices according to the operation data sets corresponding to the two smart home devices, so as to output a device correlation coefficient between the two smart home devices.
In the embodiment of the invention, the smart home management and control platform is used for executing, for each two smart home devices in the plurality of smart home devices, performing a correlation determination operation on the two smart home devices according to the operation data sets corresponding to the two smart home devices, so as to output a device correlation coefficient between the two smart home devices.
Step S130, performing association management operation on the plurality of smart home devices according to the device correlation coefficient between every two smart home devices, so as to mark every two smart home devices with association relationship as associated smart home devices corresponding to each other.
In the embodiment of the invention, the smart home management and control platform is used for executing the association management operation on the plurality of smart home devices according to the device correlation coefficient between every two smart home devices so as to mark every two smart home devices with association relations as associated smart home devices corresponding to each other.
Through the method, namely the intelligent home data acquisition management method, for each intelligent home device, operation data acquisition operation is carried out on the intelligent home device so as to output the operation data set corresponding to the intelligent home device. For each two intelligent home devices in the plurality of intelligent home devices, performing a correlation determination operation on the two intelligent home devices according to the operation data sets corresponding to the two intelligent home devices, so as to output a device correlation coefficient between the two intelligent home devices. And performing association management operation on the plurality of intelligent home devices according to the device correlation coefficient between every two intelligent home devices so as to mark every two intelligent home devices with association relation as associated intelligent home devices corresponding to each other. Therefore, the reliability of the performed association management operation is higher, and the problem of poor management and control effects of smart home in the prior art is solved.
It should be noted that, in some possible implementations, step S110 included in the method may further include the following descriptions:
for each intelligent home device in the plurality of intelligent home devices, performing instruction issuing operation on the intelligent home device to issue an operation data acquisition instruction to the intelligent home device, wherein the operation data acquisition instruction is used for controlling the intelligent home device to send the device operation data to the intelligent home management and control platform after each new device operation data is formed by the intelligent home device;
And for each intelligent household device in the plurality of intelligent household devices, after receiving the currently formed device operation data sent by the intelligent household device according to the operation data acquisition instruction, adding the device operation data into an operation data set corresponding to the intelligent household device.
It should be noted that, in some possible implementations, for each smart home device in the plurality of smart home devices, after receiving the currently formed device operation data sent by the smart home device according to the operation data collection instruction, the step of adding the device operation data to the operation data set corresponding to the smart home device further includes the following descriptions:
for each intelligent home device in the plurality of intelligent home devices, when the intelligent home device is subjected to instruction issuing operation, performing set construction operation on the intelligent home device to output a corresponding operation data set, wherein the operation data set belongs to an empty set during construction;
and for each intelligent household device in the plurality of intelligent household devices, after receiving the currently formed device operation data sent by the intelligent household device according to the operation data acquisition instruction, adding the device operation data into the operation data set corresponding to the intelligent household device.
It should be noted that, in some possible implementations, step S120 included in the method may further include the following descriptions:
for each two intelligent home devices in the plurality of intelligent home devices, performing data similarity calculation operation on operation data sets corresponding to the two intelligent home devices to output data similarity between the operation data sets corresponding to the two intelligent home devices;
and for every two intelligent household devices in the plurality of intelligent household devices, performing correlation determination operation on the two intelligent household devices according to the data similarity between the corresponding operation data sets of the two intelligent household devices, and outputting the device correlation coefficient between the two intelligent household devices.
It should be noted that, in some possible implementations, the step of performing, for each two smart home devices in the plurality of smart home devices, a data similarity calculation operation on operation data sets corresponding to the two smart home devices to output a data similarity between operation data sets corresponding to the two smart home devices may further include the following descriptions:
Performing set marking operation on two operation data sets needing to perform data similarity calculation operation to output a first operation data set and a second operation data set corresponding to the two operation data sets, performing intersection set determination operation on the first operation data set and the second operation data set to output an operation data intersection set between the first operation data set and the second operation data set, performing set overlap ratio calculation operation according to the operation data intersection set to output set overlap ratio between the first operation data set and the second operation data set, and using the device operation data to represent a device operation parameter normalization value of corresponding smart home devices;
performing forming time determining operation on each piece of equipment operation data in the first operation data set to output forming time corresponding to the equipment operation data, and performing sorting operation on each piece of equipment operation data in the first operation data set according to the forming time corresponding to each piece of equipment operation data to output a first operation data ordered set corresponding to the first operation data set;
Performing forming time determining operation on each piece of equipment operation data in the first operation data set to output forming time corresponding to the equipment operation data, and performing sorting operation on each piece of equipment operation data in the first operation data set according to the forming time corresponding to each piece of equipment operation data to output a first operation data ordered set corresponding to the first operation data set;
performing forming time determining operation on each piece of equipment operation data in the second operation data set to output forming time corresponding to the equipment operation data, and performing sorting operation on each piece of equipment operation data in the second operation data set according to the forming time corresponding to each piece of equipment operation data to output a second operation data ordered set corresponding to the second operation data set;
for each piece of equipment operation data in the operation data intersection set, determining operation is performed on the continuous operation time length of the equipment operation data on the intelligent home equipment corresponding to the first operation data set so as to output a first continuous operation time length corresponding to the equipment operation data, and determining operation is performed on the continuous operation time length of the equipment operation data on the intelligent home equipment corresponding to the first operation data set so as to output a second continuous operation time length corresponding to the equipment operation data;
Performing set determination operation according to a first continuous operation time length corresponding to each piece of equipment operation data in the operation data intersection set to output a first operation time length ordered set corresponding to the operation data intersection set, and performing set determination operation according to a second continuous operation time length corresponding to each piece of equipment operation data in the operation data intersection set to output a second operation time length ordered set corresponding to the operation data intersection set;
performing sliding window segmentation operation on the first running data ordered set to output a plurality of first running data ordered subsets corresponding to the first running data ordered set, performing sliding window segmentation operation on the second running data ordered set to output a plurality of second running data ordered subsets corresponding to the second running data ordered set, performing set similarity calculation operation on the plurality of first running data ordered subsets and the plurality of second running data ordered subsets according to similarity between equipment running data in the same set sequencing position (for example, the similarity between each first running data ordered subset and each second running data ordered subset can be calculated first, average value calculation is performed on the similarity between the subsets, and when similarity calculation is performed on the subsets, the average value of the similarity between the equipment running data in each set sequencing position can be calculated, and the length of the sliding window segmentation operation is the same, so that each first running data ordered subset comprises the same number of elements as the corresponding running data element of each first running data ordered subset and each second running data ordered subset;
Performing sliding window segmentation operation on the first running time ordered set to output a plurality of first running time ordered subsets corresponding to the first running time ordered set, performing sliding window segmentation operation on the second running time ordered set to output a plurality of second running time ordered subsets corresponding to the second running time ordered set, and performing set similarity calculation operation on the plurality of first running time ordered subsets and the plurality of second running time ordered subsets according to similarity between continuous running time of the same set sequencing position to output corresponding continuous running time similarity (refer to the related description);
and performing data fusion operation (such as calculating a weighted sum value) according to the set coincidence degree between the first operation data set and the second operation data set, the similarity of the operation data sets and the similarity of the continuous operation time length so as to output the data similarity between the operation data sets corresponding to the two intelligent home devices corresponding to the two operation data sets.
It should be noted that, in some possible implementations, for each two smart home devices in the plurality of smart home devices, the step of performing a correlation determination operation on the two smart home devices according to the data similarity between the operation data sets corresponding to the two smart home devices and outputting the device correlation coefficient between the two smart home devices may further include the following descriptions:
For each of the plurality of smart home devices, performing a device location determination operation on the smart home device to output device location information corresponding to the smart home device, and performing a device user identity determination operation on the smart home device to output device user identity information corresponding to the smart home device;
for each two smart home devices in the plurality of smart home devices, performing a device position distance calculation operation on the two smart home devices according to the device position information corresponding to the two smart home devices to output device position distance information between the two smart home devices, and performing a position correlation determination operation on the two smart home devices according to the device position distance information between the two smart home devices to output a position correlation (for example, the device position distance information is inversely correlated with the position correlation) between the two smart home devices;
for each two intelligent home devices in the plurality of intelligent home devices, searching operation is carried out from a predetermined user identity relation database according to the device user identity information corresponding to the two intelligent home devices so as to output the user identity relativity corresponding to the two intelligent home devices;
For each two smart home devices in the plurality of smart home devices, performing data fusion operation (such as calculating a weighted sum value) according to the data similarity between the operation data sets corresponding to the two smart home devices, the position correlation between the two smart home devices, and the user identity correlation corresponding to the two smart home devices, so as to perform correlation determination operation on the two smart home devices and output a device correlation coefficient between the two smart home devices.
It should be noted that, in some possible implementations, step S130 included in the method may further include the following descriptions:
for each intelligent home device in the plurality of intelligent home devices, performing device type determining operation on the intelligent home device to output device type information corresponding to the intelligent home device;
classifying the plurality of intelligent home devices according to the device type information corresponding to each intelligent home device to output at least one device classification set corresponding to the plurality of intelligent home devices, wherein each device classification set comprises a plurality of intelligent home devices, for each device classification set, the device type information corresponding to any two intelligent home devices included in the device classification set is the same, and for each two device classification sets, the device type information corresponding to any two intelligent home devices of the two device classification sets are different;
And for each equipment classification set in the at least one equipment classification set, performing association management operation on a plurality of intelligent home equipment included in the equipment classification set according to the equipment correlation coefficient between every two intelligent home equipment so as to mark every two intelligent home equipment with association relation as associated intelligent home equipment corresponding to each other.
It should be noted that, in some possible implementations, for each device class set in the at least one device class set, the step of performing, according to the device correlation coefficient between each two smart home devices, an association management operation on a plurality of smart home devices included in the device class set to mark each two smart home devices having an association relationship as associated smart home devices corresponding to each other may further include the following descriptions:
for each equipment classification set in the at least one equipment classification set, performing size comparison operation on equipment correlation coefficients between every two intelligent home equipment included in the equipment classification set and a predetermined correlation threshold value respectively to output size comparison results between the equipment correlation coefficients between every two intelligent home equipment and the correlation threshold value;
And for each two intelligent home devices included in each device classification set of the at least one device classification set, marking the two intelligent home devices as having an association relationship and marking the two intelligent home devices as associated intelligent home devices corresponding to each other under the condition that the device correlation coefficient between the two intelligent home devices and the magnitude comparison result between the correlation threshold value represent that the device correlation coefficient is larger than or equal to the correlation threshold value.
As shown in fig. 3, the embodiment of the invention further provides a system for data collection and management in a smart home, which can be applied to the smart home management and control platform. The intelligent home data acquisition management system can comprise the following software functional modules:
the data acquisition module is used for carrying out operation data acquisition operation on each intelligent household device in the plurality of intelligent household devices so as to output operation data sets corresponding to the intelligent household devices, wherein each operation data set comprises at least one piece of device operation data;
the correlation determination module is used for performing correlation determination operation on each two intelligent household devices in the plurality of intelligent household devices according to the corresponding operation data sets of the two intelligent household devices so as to output device correlation coefficients between the two intelligent household devices;
And the association management module is used for carrying out association management operation on the plurality of intelligent home devices according to the device correlation coefficient between every two intelligent home devices so as to mark every two intelligent home devices with association relations as associated intelligent home devices corresponding to each other.
In some possible implementations, the relevance determining module is specifically configured to:
for each two intelligent home devices in the plurality of intelligent home devices, performing data similarity calculation operation on operation data sets corresponding to the two intelligent home devices to output data similarity between the operation data sets corresponding to the two intelligent home devices;
and for every two intelligent household devices in the plurality of intelligent household devices, performing correlation determination operation on the two intelligent household devices according to the data similarity between the corresponding operation data sets of the two intelligent household devices, and outputting the device correlation coefficient between the two intelligent household devices.
In some possible implementations, the association management module is specifically configured to:
for each intelligent home device in the plurality of intelligent home devices, performing device type determining operation on the intelligent home device to output device type information corresponding to the intelligent home device;
Classifying the plurality of intelligent home devices according to the device type information corresponding to each intelligent home device to output at least one device classification set corresponding to the plurality of intelligent home devices, wherein each device classification set comprises a plurality of intelligent home devices, for each device classification set, the device type information corresponding to any two intelligent home devices included in the device classification set is the same, and for each two device classification sets, the device type information corresponding to any two intelligent home devices of the two device classification sets are different;
and for each equipment classification set in the at least one equipment classification set, performing association management operation on a plurality of intelligent home equipment included in the equipment classification set according to the equipment correlation coefficient between every two intelligent home equipment so as to mark every two intelligent home equipment with association relation as associated intelligent home equipment corresponding to each other.
In summary, according to the method and system for data collection and management in smart home provided by the invention, for each smart home device, operation data collection operation is performed on the smart home device, so as to output the operation data set corresponding to the smart home device. For each two intelligent home devices in the plurality of intelligent home devices, performing a correlation determination operation on the two intelligent home devices according to the operation data sets corresponding to the two intelligent home devices, so as to output a device correlation coefficient between the two intelligent home devices. And performing association management operation on the plurality of intelligent home devices according to the device correlation coefficient between every two intelligent home devices so as to mark every two intelligent home devices with association relation as associated intelligent home devices corresponding to each other. The reliability of the carried out association management operation is higher, so that the problem of poor management and control effect of smart home in the prior art is solved.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a data acquisition management method in wisdom house, its characterized in that is applied to wisdom house management and control platform, wisdom house management and control platform and a plurality of wisdom house equipment communication connection, data acquisition management method in the wisdom house includes:
for each intelligent home device in the plurality of intelligent home devices, performing operation data acquisition operation on the intelligent home device to output operation data sets corresponding to the intelligent home device, wherein each operation data set comprises at least one piece of device operation data;
for each two intelligent home devices in the plurality of intelligent home devices, performing a correlation determination operation on the two intelligent home devices according to the operation data sets corresponding to the two intelligent home devices so as to output a device correlation coefficient between the two intelligent home devices;
And performing association management operation on the plurality of intelligent home devices according to the device correlation coefficient between every two intelligent home devices so as to mark every two intelligent home devices with association relations as associated intelligent home devices corresponding to each other.
2. The method for intelligent home data collection and management according to claim 1, wherein the step of performing operation data collection operation on each of the plurality of intelligent home devices to output the operation data set corresponding to the intelligent home device comprises:
for each intelligent home device in the plurality of intelligent home devices, performing instruction issuing operation on the intelligent home device to issue an operation data acquisition instruction to the intelligent home device, wherein the operation data acquisition instruction is used for controlling the intelligent home device to send the device operation data to the intelligent home management and control platform after each new device operation data is formed by the intelligent home device;
and for each intelligent household device in the plurality of intelligent household devices, after receiving the currently formed device operation data sent by the intelligent household device according to the operation data acquisition instruction, adding the device operation data into an operation data set corresponding to the intelligent household device.
3. The method for intelligent home data collection and management according to claim 2, wherein for each of the plurality of intelligent home devices, the step of adding the device operation data to the operation data set corresponding to the intelligent home device after receiving the device operation data currently formed by the intelligent home device according to the operation data collection instruction includes:
for each intelligent home device in the plurality of intelligent home devices, when the intelligent home device is subjected to instruction issuing operation, performing set construction operation on the intelligent home device to output a corresponding operation data set, wherein the operation data set belongs to an empty set during construction;
and for each intelligent household device in the plurality of intelligent household devices, after receiving the currently formed device operation data sent by the intelligent household device according to the operation data acquisition instruction, adding the device operation data into the operation data set corresponding to the intelligent household device.
4. The method for intelligent home data collection and management according to claim 1, wherein the step of performing a correlation determination operation on each of the two intelligent home devices according to the operation data sets corresponding to the two intelligent home devices to output a device correlation coefficient between the two intelligent home devices comprises:
For each two intelligent home devices in the plurality of intelligent home devices, performing data similarity calculation operation on operation data sets corresponding to the two intelligent home devices to output data similarity between the operation data sets corresponding to the two intelligent home devices;
and for every two intelligent household devices in the plurality of intelligent household devices, performing correlation determination operation on the two intelligent household devices according to the data similarity between the corresponding operation data sets of the two intelligent household devices, and outputting the device correlation coefficient between the two intelligent household devices.
5. The method for intelligent home data collection and management according to claim 4, wherein the step of performing correlation determination operation on each of two intelligent home devices according to data similarity between corresponding operation data sets of the two intelligent home devices, and outputting device correlation coefficients between the two intelligent home devices comprises:
for each of the plurality of smart home devices, performing a device location determination operation on the smart home device to output device location information corresponding to the smart home device, and performing a device user identity determination operation on the smart home device to output device user identity information corresponding to the smart home device;
For each two intelligent home devices in the plurality of intelligent home devices, performing device position distance calculation operation on the two intelligent home devices according to the device position information corresponding to the two intelligent home devices to output device position distance information between the two intelligent home devices, and performing position correlation determination operation on the two intelligent home devices according to the device position distance information between the two intelligent home devices to output position correlation between the two intelligent home devices;
for each two intelligent home devices in the plurality of intelligent home devices, searching operation is carried out from a predetermined user identity relation database according to the device user identity information corresponding to the two intelligent home devices so as to output the user identity relativity corresponding to the two intelligent home devices;
for each two intelligent home devices in the plurality of intelligent home devices, performing data fusion operation according to the data similarity between the operation data sets corresponding to the two intelligent home devices, the position correlation between the two intelligent home devices and the user identity correlation corresponding to the two intelligent home devices, so as to perform correlation determination operation on the two intelligent home devices and output the device correlation coefficient between the two intelligent home devices.
6. The method for intelligent home data collection and management according to any one of claims 1 to 5, wherein the step of performing association management operation on the plurality of intelligent home devices according to the device correlation coefficient between each two intelligent home devices to mark each two intelligent home devices having association relationship as associated intelligent home devices corresponding to each other comprises:
for each intelligent home device in the plurality of intelligent home devices, performing device type determining operation on the intelligent home device to output device type information corresponding to the intelligent home device;
classifying the plurality of intelligent home devices according to the device type information corresponding to each intelligent home device to output at least one device classification set corresponding to the plurality of intelligent home devices, wherein each device classification set comprises a plurality of intelligent home devices, for each device classification set, the device type information corresponding to any two intelligent home devices included in the device classification set is the same, and for each two device classification sets, the device type information corresponding to any two intelligent home devices of the two device classification sets are different;
And for each equipment classification set in the at least one equipment classification set, performing association management operation on a plurality of intelligent home equipment included in the equipment classification set according to the equipment correlation coefficient between every two intelligent home equipment so as to mark every two intelligent home equipment with association relation as associated intelligent home equipment corresponding to each other.
7. The method for intelligent home data collection and management according to claim 6, wherein for each of the at least one device class set, the step of performing association management operation on a plurality of intelligent home devices included in the device class set according to the device correlation coefficient between every two intelligent home devices to mark every two intelligent home devices having association relationship as associated intelligent home devices corresponding to each other comprises:
for each equipment classification set in the at least one equipment classification set, performing size comparison operation on equipment correlation coefficients between every two intelligent home equipment included in the equipment classification set and a predetermined correlation threshold value respectively to output size comparison results between the equipment correlation coefficients between every two intelligent home equipment and the correlation threshold value;
And for each two intelligent home devices included in each device classification set of the at least one device classification set, marking the two intelligent home devices as having an association relationship and marking the two intelligent home devices as associated intelligent home devices corresponding to each other under the condition that the device correlation coefficient between the two intelligent home devices and the magnitude comparison result between the correlation threshold value represent that the device correlation coefficient is larger than or equal to the correlation threshold value.
8. The utility model provides a data acquisition management system in wisdom house, its characterized in that is applied to wisdom house management and control platform, wisdom house management and control platform and a plurality of wisdom house equipment communication connection, data acquisition management system includes in the wisdom house:
the data acquisition module is used for carrying out operation data acquisition operation on each intelligent household device in the plurality of intelligent household devices so as to output operation data sets corresponding to the intelligent household devices, wherein each operation data set comprises at least one piece of device operation data;
the correlation determination module is used for performing correlation determination operation on each two intelligent household devices in the plurality of intelligent household devices according to the corresponding operation data sets of the two intelligent household devices so as to output device correlation coefficients between the two intelligent household devices;
And the association management module is used for carrying out association management operation on the plurality of intelligent home devices according to the device correlation coefficient between every two intelligent home devices so as to mark every two intelligent home devices with association relations as associated intelligent home devices corresponding to each other.
9. The smart home data collection management system of claim 8, wherein the correlation determination module is specifically configured to:
for each two intelligent home devices in the plurality of intelligent home devices, performing data similarity calculation operation on operation data sets corresponding to the two intelligent home devices to output data similarity between the operation data sets corresponding to the two intelligent home devices;
and for every two intelligent household devices in the plurality of intelligent household devices, performing correlation determination operation on the two intelligent household devices according to the data similarity between the corresponding operation data sets of the two intelligent household devices, and outputting the device correlation coefficient between the two intelligent household devices.
10. The system for data collection and management in smart home as claimed in claim 8, wherein said association management module is specifically configured to:
For each intelligent home device in the plurality of intelligent home devices, performing device type determining operation on the intelligent home device to output device type information corresponding to the intelligent home device;
classifying the plurality of intelligent home devices according to the device type information corresponding to each intelligent home device to output at least one device classification set corresponding to the plurality of intelligent home devices, wherein each device classification set comprises a plurality of intelligent home devices, for each device classification set, the device type information corresponding to any two intelligent home devices included in the device classification set is the same, and for each two device classification sets, the device type information corresponding to any two intelligent home devices of the two device classification sets are different;
and for each equipment classification set in the at least one equipment classification set, performing association management operation on a plurality of intelligent home equipment included in the equipment classification set according to the equipment correlation coefficient between every two intelligent home equipment so as to mark every two intelligent home equipment with association relation as associated intelligent home equipment corresponding to each other.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311037698.XA CN117055394A (en) | 2023-08-17 | 2023-08-17 | Data acquisition management method and system in smart home |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311037698.XA CN117055394A (en) | 2023-08-17 | 2023-08-17 | Data acquisition management method and system in smart home |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117055394A true CN117055394A (en) | 2023-11-14 |
Family
ID=88654893
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311037698.XA Withdrawn CN117055394A (en) | 2023-08-17 | 2023-08-17 | Data acquisition management method and system in smart home |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117055394A (en) |
-
2023
- 2023-08-17 CN CN202311037698.XA patent/CN117055394A/en not_active Withdrawn
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110381126B (en) | Electric equipment identification method, system, equipment and medium based on edge calculation | |
| CN112383891B (en) | Equipment registration method and device based on object model automatic matching | |
| CN111371858B (en) | Group control equipment identification method, device, medium and electronic equipment | |
| CN112184491B (en) | Method, device, computer equipment and storage medium for identifying abnormal data in power grid | |
| CN115482122A (en) | Comprehensive energy consumption monitoring method and system applied to smart park | |
| CN115018315A (en) | Method and device for detecting abnormal heat supply, electronic equipment and storage medium | |
| CN112446209A (en) | Method, equipment and device for setting intention label and storage medium | |
| CN109446515A (en) | Group information analysis method, electronic device and computer readable storage medium | |
| CN112070180B (en) | Power grid equipment state judging method and device based on information physical bilateral data | |
| CN113391256A (en) | Electric energy meter metering fault analysis method and system of field operation terminal | |
| CN107402999A (en) | Scene data storehouse method for building up and device | |
| CN117055394A (en) | Data acquisition management method and system in smart home | |
| CN115242684B (en) | Full-link pressure measurement method and device, computer equipment and storage medium | |
| CN110852893A (en) | Risk identification method, system, equipment and storage medium based on mass data | |
| CN116566766A (en) | Intelligent power gateway management and control method and system | |
| CN108021713B (en) | Document clustering method and device | |
| CN115563507A (en) | Generation method, device and equipment for renewable energy power generation scene | |
| CN115098548A (en) | Data decision method, system and cloud platform | |
| CN111049894B (en) | Cloud Internet of things data processing method and device and electronic equipment | |
| CN114356900A (en) | Power data anomaly detection method, device, equipment and medium | |
| CN114625747B (en) | Wind control updating method and system based on information security | |
| CN115187153B (en) | Data processing method and system applied to business risk tracing | |
| CN115001147B (en) | Photovoltaic power generation data acquisition method and system and cloud platform | |
| CN115473343B (en) | Intelligent gateway multi-master-station parallel access test method | |
| CN116739532B (en) | Energy project management method, system, terminal equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20231114 |
|
| WW01 | Invention patent application withdrawn after publication |