CN111142398A - Equipment linkage method and device, electronic equipment and storage medium - Google Patents
Equipment linkage method and device, electronic equipment and storage medium Download PDFInfo
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- G05B15/00—Systems controlled by a computer
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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
- G05B19/00—Programme-control systems
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- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The application discloses an equipment linkage method, an equipment linkage device, electronic equipment and a storage medium, which are used for solving the problems that the equipment linkage method in the related art has a complex linkage parameter configuration process and cannot adapt to different requirements. The equipment linkage method comprises the following steps: acquiring a historical operation log of each device in a device set, wherein the historical operation log comprises the running time of the device and corresponding attribute data; performing association processing on the historical operation logs of the devices to obtain a feature vector corresponding to the device set, wherein the feature vector comprises association relations of the devices in the device set in different time periods; determining a linkage strategy among the devices in the device set based on the feature vectors; and performing linkage operation on the equipment in the set equipment based on the linkage strategy among the equipment in the equipment set.
Description
Technical Field
The present application relates to the field of intelligent device technologies, and in particular, to a device linkage method and apparatus, an electronic device, and a storage medium.
Background
With the rapid popularization of intelligent hardware technology, the equipment linkage control becomes an important factor influencing the development of intelligent home.
The device linkage method in the related art generally requires a user to manually set a large number of parameters of the linkage device to realize the device linkage. However, the method has the problems that the linkage parameter configuration process is complicated and tedious and cannot adapt to different requirements.
Disclosure of Invention
The application discloses an equipment linkage method, an equipment linkage device, electronic equipment and a storage medium, and aims to solve the problems that the equipment linkage method in the related art is complex in linkage parameter configuration process and cannot adapt to different requirements.
In order to solve the technical problem, the following technical scheme is adopted in the application:
in a first aspect, the present application provides a method for linking devices, comprising:
acquiring a historical operation log of each device in a device set, wherein the historical operation log comprises the running time of the device and corresponding attribute data;
performing association processing on the historical operation logs of the devices to obtain a feature vector corresponding to the device set, wherein the feature vector comprises association relations of the devices in the device set in different time periods;
determining a linkage strategy among the devices in the device set based on the feature vectors;
and performing linkage operation on the equipment in the set equipment based on the linkage strategy among the equipment in the equipment set.
Optionally, the associating the historical operation logs of the devices to obtain the feature vector corresponding to the device set includes:
integrating the historical operation logs of the devices based on running time to obtain attribute data of the device set in different time periods;
converting attribute data of the equipment set in different time periods into vectors;
and solving the vector based on a pre-configured recommendation algorithm to obtain a feature vector corresponding to the equipment set.
Optionally, the device set includes a trigger device and a controlled device;
the determining a linkage policy between the devices in the set of devices based on the feature vector includes:
for each time period, setting a linkage triggering condition corresponding to the time period according to the attribute data of the triggering equipment in the time period;
determining linkage action corresponding to the time period based on the incidence relation between the trigger equipment and the controlled equipment in the time period and the attribute data of the controlled equipment in the time period;
and generating a linkage strategy among the devices in the device set based on the corresponding linkage triggering conditions and linkage actions in different time periods.
Optionally, the performing, based on the linkage policy among the devices in the device set, a linkage operation on the devices in the set of devices includes:
acquiring attribute data of the trigger equipment;
judging whether the attribute data of the trigger equipment meets the linkage trigger condition corresponding to the current time period;
and when determining that the attribute data of the trigger equipment meets the linkage trigger condition corresponding to the current time period, performing linkage operation on the controlled equipment based on the linkage action corresponding to the current time period.
Optionally, the triggering device includes a sensor, and the controlled device includes a smart home device.
In a second aspect, the present application provides an equipment linkage comprising:
the device comprises an acquisition unit, a storage unit and a processing unit, wherein the acquisition unit is used for acquiring historical operation logs of each device in a device set, and the historical operation logs comprise the running time of the devices and corresponding attribute data;
the association processing unit is used for performing association processing on the historical operation logs of the devices to obtain a feature vector corresponding to the device set, wherein the feature vector comprises association relations of the devices in the device set in different time periods;
a determining unit, configured to determine a linkage policy between the devices in the device set based on the feature vector;
and the operation unit is used for carrying out linkage operation on the equipment in the set equipment based on the linkage strategy among the equipment in the equipment set.
Optionally, the association processing unit is specifically configured to:
integrating the historical operation logs of the devices based on running time to obtain attribute data of the device set in different time periods;
converting attribute data of the equipment set in different time periods into vectors;
and solving the vector based on a pre-configured recommendation algorithm to obtain a feature vector corresponding to the equipment set.
Optionally, the device set includes a trigger device and a controlled device, and the determining unit is specifically configured to:
for each time period, setting a linkage triggering condition corresponding to the time period according to the attribute data of the triggering equipment in the time period;
determining linkage action corresponding to the time period based on the incidence relation between the trigger equipment and the controlled equipment in the time period and the attribute data of the controlled equipment in the time period;
and generating a linkage strategy among the devices in the device set based on the corresponding linkage triggering conditions and linkage actions in different time periods.
Optionally, the operation unit is specifically configured to:
acquiring attribute data of the trigger equipment;
judging whether the attribute data of the trigger equipment meets the linkage trigger condition corresponding to the current time period;
and when determining that the attribute data of the trigger equipment meets the linkage trigger condition corresponding to the current time period, performing linkage operation on the controlled equipment based on the linkage action corresponding to the current time period.
Optionally, the triggering device includes a sensor, and the controlled device includes a smart home device.
In a third aspect, an embodiment of the present application provides an electronic device, including:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the device linkage method of the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium, where instructions executed by a processor of an electronic device enable the electronic device to perform the device linkage method according to the first aspect.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects:
the method comprises the steps of obtaining historical operation logs of all devices in a device set to carry out association processing, obtaining a feature vector containing association relations of the devices in the device set in different time periods, determining linkage strategies among the devices in the device set based on the feature vector, achieving automatic and intelligent configuration of the linkage strategies, enabling the whole process to be free of user participation, simplifying the configuration process of the linkage strategies and improving configuration efficiency. And the determination of the linkage strategy is obtained by performing association processing on the historical operation logs of the devices in the device set, and further, the devices in the device set are subjected to linkage operation based on the linkage strategy, so that different scene requirements can be dynamically adapted.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flowchart of an apparatus linkage method according to an embodiment of the present disclosure.
Fig. 2 is a flowchart of another apparatus linkage method according to an embodiment of the present disclosure.
Fig. 3 is a block diagram of an apparatus linkage according to an embodiment of the present disclosure.
Fig. 4 is a block 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 present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for linking devices, which is applicable to an electronic device, wherein the electronic device may include, but is not limited to, a laptop computer, a portable computer, a server, etc., and may be respectively in communication with each device in the device set to obtain a historical operation log of each device in the device set and to control the devices in the device set. As shown in fig. 1, the method may include the steps of:
s101, obtaining a history operation log of each device in the device set.
In the embodiment of the present application, the devices in the device set may include a trigger device and a controlled device. The triggering device may include a sensor for sensing an ambient temperature, an ambient humidity, an illumination brightness, a human body, a door and window state, and the like of the located smart scene, and may include, but is not limited to, a temperature sensor for detecting an ambient temperature of the located smart scene, a humidity sensor for detecting an ambient humidity of the located smart scene, a light sensor for detecting an illumination intensity of the located smart scene, a human body sensor for detecting whether a human body exists in the located smart scene, an environmental information image sensor for detecting the located smart scene, and the like. The trigger device can transmit the operation log to the electronic device in real time.
The controlled device may include various smart devices deployed in a smart scene (e.g., a smart home scene), for example, but not limited to, a lighting device, an air conditioner, a humidifier, an audio/video playing device, a heating device, a curtain, a security device, and the like, and the controlled device may have a communication capability (e.g., a wireless or wired communication capability) to perform data interaction with the electronic device, for example, transmit a historical operation log of the controlled device to the electronic device in real time and operate based on a control signal output by the electronic device.
In addition, the historical operation log of the device may include the running time of the device and corresponding attribute data, where the attribute data of the device refers to the running parameters of the device, and the attribute data of different devices are different. For example, the attribute data of the lighting device may include, but is not limited to, an operation state (on or off), an illuminance, a color temperature, and other operation parameters, and the attribute data of the temperature sensor may include, for example, a temperature value, and other operation parameters. Table 1 shows a historical operation log of the apparatus 1.
TABLE 1
| Device 1 | Run time |
| Attribute data 1 | 2019-6-24, Monday, 15:30 |
| Attribution data 2 | 2019-6-24, weekOne, 15:40 |
| …… | …… |
And S102, performing correlation processing on the historical operation logs of the devices to obtain the feature vectors corresponding to the device sets.
Wherein the feature vector comprises association relations of the devices in the device set in different time periods. The association relationship of the devices in the device set in different time periods records which devices in the device set can be linked in different time periods. For example, the feature vector includes an association relationship between the air conditioner and the television in the time period a, so that the air conditioner and the television can be linked in the time period a in an intelligent home scene.
S103, determining linkage strategies among the devices in the device set based on the feature vectors.
Optionally, the linkage policy may include a linkage trigger condition and a corresponding linkage action, and the linkage policy is used to instruct to execute the corresponding linkage action when the parameter in the intelligent environment satisfies the linkage trigger condition.
Illustratively, the linkage action may be to open an air conditioner and a television in a living room and pull up a curtain in the living room, the trigger condition corresponding to the linkage action may be that a user is detected to be at home at 17: 00-17: 30 nights in summer, and accordingly, the linkage strategy includes that at 17 nights in summer: and 00-17: 30, opening an air conditioner and a television in the living room and pulling up a curtain in the living room when detecting that the user goes home.
It should be noted that the linkage policy of the devices in the device set may include a plurality of linkage trigger conditions (e.g., linkage trigger conditions corresponding to different time periods) and linkage actions corresponding to the linkage trigger conditions.
And S104, carrying out linkage operation on the equipment in the equipment set based on the linkage strategy among the equipment in the equipment set.
In practical application, the determined linkage policy may be preset in the electronic device for controlling the devices in the device set, and the electronic device generates a corresponding control instruction according to the determined linkage policy and sends the control instruction to the devices in the device set, so as to perform linkage operation on the devices in the device set.
Therefore, according to the device linkage method, the historical operation logs of the devices in the device set are obtained for association processing, the feature vectors containing the association relations of the devices in the device set in different time periods are obtained, the linkage strategies among the devices in the device set are determined based on the feature vectors, the linkage strategies can be automatically and intelligently configured, users do not need to participate in the whole process, the configuration process of the linkage strategies is simplified, and the configuration efficiency is improved. And the determination of the linkage strategy is obtained by performing association processing on the historical operation logs of the devices in the device set, and further, the devices in the device set are subjected to linkage operation based on the linkage strategy, so that different scene requirements can be dynamically adapted.
In order to make those skilled in the art understand the technical solution provided by the embodiment of the present application, the following describes in detail the device linkage method provided by the embodiment of the present application.
First, as shown in fig. 2, in an optional implementation manner, regarding step S102, performing association processing on the history operation logs of the devices to obtain a feature vector corresponding to the device set specifically includes:
and S121, integrating the historical operation logs of the devices based on the running time to obtain attribute data of the device set in different time periods.
In specific implementation, the historical operation logs of each device in the device set may be merged according to a set time interval (e.g., 10 minutes), so as to obtain attribute data of each device in different time periods. Illustratively, table 2 shows attribute data of a device set obtained after merging in different time periods.
TABLE 2
| Lighting device | Air conditioner | Television receiver | … | Human body inductor | Time period |
| Open, 50Lx | At an opening degree of 22 ° | Opening device | … | Sensing a user | 17:30-17：40 |
| … | … | … | … | … | … |
| Closing device | At an opening degree of 26 ° | Closing device | … | Not sensing the user | 23:00～23:10 |
And S122, converting the attribute data of the equipment set in different time periods into vectors.
And S123, solving the vector obtained by the conversion based on a pre-configured recommendation algorithm to obtain the feature vector corresponding to the equipment set.
Optionally, the recommendation algorithm may include a Singular Value Decomposition (SVD) algorithm, and a specific implementation manner of obtaining the feature vector corresponding to the device set by solving the vector obtained by the conversion based on the SVD algorithm is a common manner in the art and is not described herein again. Of course, it is understood that the recommendation algorithm may also include other artificial intelligence recommendation algorithms.
Solving the vector obtained by conversion through a pre-configured recommendation algorithm can obtain a feature vector corresponding to the equipment set, wherein the feature vector comprises the association relation of the equipment in the equipment set in different time periods.
Illustratively, taking the attribute data of the device set in table 2 above in different time periods as an example, by converting the attribute data in the different time periods into vectors and solving the vectors, the data obtained in the following steps 17: 30-17: 40, the lighting equipment, the air conditioner and the television are in linkage relation.
It should be noted that, in actual application, taking the application scenario of smart home as an example, as smart home devices and sensors and the like increase, the device set is updated continuously, and historical operation logs of each device in the device set increase continuously, attribute data of the device set in different time periods may also be updated continuously according to actual conditions, so as to form a more complete association relationship of the devices in the device set in different time periods, and further obtain a more intelligent and adaptive linkage policy finally.
It can be understood that in this embodiment, attribute data of the device set in different time periods are obtained by integrating the historical operation logs obtained by the devices in the device set according to the running time, and after the integrated attribute data are converted into vectors, the vectors are solved based on a pre-configured recommendation algorithm to obtain feature vectors corresponding to the device set, so that dynamic and personalized construction of a linkage strategy can be realized, and the finally obtained linkage strategy is more accurate.
Next, with respect to the step S103, in an optional implementation manner, the determining an interlocking policy between the devices in the device set based on the feature vectors corresponding to the device set includes:
and S131, setting the linkage triggering condition corresponding to each time period according to the attribute data of the triggering equipment in the time period.
For example, taking the trigger device in the device set to include a human body sensor as an example, the linkage trigger condition corresponding to the time period a may be set to indicate that a human body indication signal is detected by the human body sensor output in the time period 17: 30-17: 40; for another example, the triggering device in the device set may further include an image sensor, and the linkage triggering condition corresponding to the time period 23:00 to 23:10 may be set to be that the image sensor outputs an indication signal for indicating that the user is in a sleep state in the time period 23:00 to 23:10, and so on.
S132, determining the linkage action corresponding to the time period based on the incidence relation between the trigger equipment and the controlled equipment in the equipment set in the time period and the attribute data of the controlled equipment in the time period.
Illustratively, the triggering devices in the device set comprise a human body sensor and an image sensor, the controlled devices comprise various smart home devices such as an air conditioner, a television, a curtain and a lighting device, for example, in a time period 17: 30-17: 40, the correlation between the triggering devices and the controlled devices in the device set is that the human body sensor is linked with the air conditioner, the television and the curtain, and the attribute data of the air conditioner in the time period comprises an open state and a temperature of 22 degrees, the attribute data corresponding to the television is open, and the attribute data corresponding to the curtain is closed, so that the corresponding linkage in the time period 17: 30-17: 40 can be determined as "open the air conditioner and adjust the air conditioner to 22 degrees, open the television and pull up the curtain"; for another example, in the time period of 23:00 to 23:10, the association relationship between the trigger device and the controlled device in the device set is that the image sensor is linked with the air conditioner, the television and the lighting device, and in the time period, the attribute data corresponding to the air conditioner, the television and the lighting device are all turned off, so that the linkage action corresponding to the time period of 23:00 to 23:10 can be determined as "turning off the air conditioner, the television and the lighting device".
And S133, generating a linkage strategy among the devices in the device set based on the corresponding linkage triggering conditions and linkage actions in different time periods.
Specifically, the linkage strategy among the devices in the device set can be obtained by associating the corresponding linkage triggering conditions and the linkage actions in different time periods, and the linkage strategy is used for indicating that the controlled devices in the device set are controlled to execute the corresponding linkage actions when the attribute data of the triggering devices in the device set meet the corresponding linkage triggering conditions in different time periods.
It can be understood that the corresponding linkage trigger condition is determined through the attribute data of the trigger device in the device set, the linkage action corresponding to the linkage trigger condition is determined through the attribute data of the controlled device in the device set and the linkage relation between the controlled device and the trigger device, so as to obtain the linkage strategy between the devices in the device set, the trigger device and the controlled device are associated, so as to trigger the linkage controlled device through the trigger device, and the linkage strategy is not configured manually by a user, so that the configuration efficiency and accuracy of the linkage strategy are further improved.
Finally, as shown in fig. 2, with respect to the step S104, performing an interlocking operation on the devices in the device set based on the interlocking policy among the devices in the device set includes:
and S141, acquiring attribute data of the trigger equipment.
Optionally, the trigger device in the device set may upload attribute data of the trigger device to the electronic device in real time; or, the electronic device sends an acquisition request to a trigger device in the device set according to a set time interval to request to acquire the attribute data from the trigger device.
And S142, judging whether the attribute data of the trigger equipment meets the linkage trigger condition corresponding to the current time period.
After acquiring the attribute data of the trigger device, the electronic device determines whether the acquired attribute data meets the linkage trigger condition corresponding to the current time period, and if yes, step S143 may be executed. Optionally, if not, step S144 may be executed, that is, the attribute data of the trigger device is discarded.
And S143, carrying out linkage operation on the controlled equipment based on the linkage action corresponding to the current time period.
For example, when the linkage strategy includes "when it is detected that the user is at home in summer 17: 30-17: 40, turn on the air conditioner and adjust to 22 °, turn on the television and pull up the curtain", when the electronic device for controlling the device set obtains an indication signal indicating that the human body is detected by the indication output by the human body sensor in summer 17: 30-17: 40, corresponding control signals can be output to the air conditioner, the television and the curtain respectively to control the air conditioner to be turned on and adjusted to 22 °, control the television to be turned on and control the curtain to be turned off.
It can be understood that, in this embodiment, by determining whether the attribute data of the trigger device in the device set satisfies the linkage trigger condition corresponding to the time period, and triggering the controlled device in the device set to execute the corresponding linkage action when it is determined that the attribute data of the trigger device satisfies the linkage trigger condition, the device control in the intelligent scene will be automatically performed without depending on the control of the user, and the user experience is improved.
It should be noted that the above description describes certain embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Referring to fig. 3, fig. 3 is a block diagram illustrating an apparatus linkage according to an embodiment of the present disclosure. As shown in fig. 3, the apparatus 300 may include: an acquisition unit 301, an association processing unit 302, a determination unit 303, and an operation unit 304.
The obtaining unit 301 is configured to obtain a historical operation log of each device in the device set, where the historical operation log includes a running time of the device and corresponding attribute data.
The association processing unit 302 performs association processing on the historical operation logs of the devices to obtain a feature vector corresponding to the device set, where the feature vector includes association relationships of the devices in the device set in different time periods.
The determining unit 303 is configured to determine a linkage policy between the devices in the device set based on the feature vector.
The operation unit 304 is configured to perform an interlocking operation on the devices in the set of devices based on an interlocking policy between the devices in the set of devices.
Therefore, the device linkage device in the embodiment of the application obtains the feature vectors containing the association relations of the devices in the device set in different time periods by obtaining the historical operation logs of the devices in the device set for association processing, determines the linkage strategies among the devices in the device set based on the feature vectors, can realize the automatic and intelligent configuration of the linkage strategies, does not need user participation in the whole process, simplifies the configuration process of the linkage strategies, and improves the configuration efficiency. And the determination of the linkage strategy is obtained by performing association processing on the historical operation logs of the devices in the device set, and further, the devices in the device set are subjected to linkage operation based on the linkage strategy, so that different scene requirements can be dynamically adapted.
Optionally, the association processing unit 302 is specifically configured to:
integrating the historical operation logs of the devices based on running time to obtain attribute data of the device set in different time periods;
converting attribute data of the equipment set in different time periods into vectors;
and solving the vector based on a pre-configured recommendation algorithm to obtain a feature vector corresponding to the equipment set.
Optionally, the device set includes a trigger device and a controlled device;
the determining unit 303 is specifically configured to:
for each time period, setting a linkage triggering condition corresponding to the time period according to the attribute data of the triggering equipment in the time period;
determining linkage action corresponding to the time period based on the incidence relation between the trigger equipment and the controlled equipment in the time period and the attribute data of the controlled equipment in the time period;
and generating a linkage strategy among the devices in the device set based on the corresponding linkage triggering conditions and linkage actions in different time periods.
Optionally, the operation unit 304 is specifically configured to:
acquiring attribute data of the trigger equipment;
judging whether the attribute data of the trigger equipment meets the linkage trigger condition corresponding to the current time period;
and when determining that the attribute data of the trigger equipment meets the linkage trigger condition corresponding to the current time period, performing linkage operation on the controlled equipment based on the linkage action corresponding to the current time period.
Optionally, the triggering device includes a sensor, and the controlled device includes a smart home device.
With regard to the apparatus in the above-described embodiment, the specific manner in which the respective units perform operations has been described in detail in the embodiment of the method, and will not be described in detail here.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to fig. 4, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (peripheral component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the equipment linkage device on the logic level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:
acquiring a historical operation log of each device in a device set, wherein the historical operation log comprises the running time of the device and corresponding attribute data;
performing association processing on the historical operation logs of the devices to obtain a feature vector corresponding to the device set, wherein the feature vector comprises association relations of the devices in the device set in different time periods;
determining a linkage strategy among the devices in the device set based on the feature vectors;
and performing linkage operation on the equipment in the set equipment based on the linkage strategy among the equipment in the equipment set.
The method performed by the apparatus linkage device according to the embodiment of fig. 1 or fig. 2 may be implemented in or by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The electronic device may also execute the method shown in fig. 1 or fig. 2, and implement the functions of the device linkage device in the embodiments shown in fig. 1 and fig. 2, which are not described herein again in this embodiment of the present application.
Of course, besides the software implementation, the electronic device of the present application does not exclude other implementations, such as a logic device or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or a logic device.
Embodiments of the present application also provide a computer-readable storage medium storing one or more programs, where the one or more programs include instructions, which when executed by a portable electronic device including a plurality of application programs, enable the portable electronic device to perform the method of the embodiment shown in fig. 1, and are specifically configured to:
obtaining historical operation logs of each device in a device set, wherein the historical operation logs comprise the running time of the devices and corresponding attribute data
Performing association processing on the historical operation logs of the devices to obtain a feature vector corresponding to the device set, wherein the feature vector comprises association relations of the devices in the device set in different time periods;
determining a linkage strategy among the devices in the device set based on the feature vectors;
and performing linkage operation on the equipment in the set equipment based on the linkage strategy among the equipment in the equipment set.
In short, the above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that 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 like elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Claims (12)
1. An apparatus linkage method, comprising:
acquiring a historical operation log of each device in a device set, wherein the historical operation log comprises the running time of the device and corresponding attribute data;
performing association processing on the historical operation logs of the devices to obtain a feature vector corresponding to the device set, wherein the feature vector comprises association relations of the devices in the device set in different time periods;
determining a linkage strategy among the devices in the device set based on the feature vectors;
and performing linkage operation on the equipment in the set equipment based on the linkage strategy among the equipment in the equipment set.
2. The method according to claim 1, wherein the associating the historical operation logs of the devices to obtain the feature vector corresponding to the device set comprises:
integrating the historical operation logs of the devices based on running time to obtain attribute data of the device set in different time periods;
converting attribute data of the equipment set in different time periods into vectors;
and solving the vector based on a pre-configured recommendation algorithm to obtain a feature vector corresponding to the equipment set.
3. The method of claim 1, wherein the set of devices includes a triggering device and a controlled device;
the determining a linkage policy between the devices in the set of devices based on the feature vector includes:
for each time period, setting a linkage triggering condition corresponding to the time period according to the attribute data of the triggering equipment in the time period;
determining linkage action corresponding to the time period based on the incidence relation between the trigger equipment and the controlled equipment in the time period and the attribute data of the controlled equipment in the time period;
and generating a linkage strategy among the devices in the device set based on the corresponding linkage triggering conditions and linkage actions in different time periods.
4. The method of claim 3, wherein performing the coordinated operation on the devices in the set of devices based on the coordinated strategy among the devices in the set of devices comprises:
acquiring attribute data of the trigger equipment;
judging whether the attribute data of the trigger equipment meets the linkage trigger condition corresponding to the current time period;
and when determining that the attribute data of the trigger equipment meets the linkage trigger condition corresponding to the current time period, performing linkage operation on the controlled equipment based on the linkage action corresponding to the current time period.
5. The method of claim 3 or 4, wherein the triggering device comprises a sensor and the controlled device comprises a smart home device.
6. An equipment linkage, comprising:
the device comprises an acquisition unit, a storage unit and a processing unit, wherein the acquisition unit is used for acquiring historical operation logs of each device in a device set, and the historical operation logs comprise the running time of the devices and corresponding attribute data;
the association processing unit is used for performing association processing on the historical operation logs of the devices to obtain a feature vector corresponding to the device set, wherein the feature vector comprises association relations of the devices in the device set in different time periods;
a determining unit, configured to determine a linkage policy between the devices in the device set based on the feature vector;
and the operation unit is used for carrying out linkage operation on the equipment in the set equipment based on the linkage strategy among the equipment in the equipment set.
7. The apparatus according to claim 6, wherein the association processing unit is specifically configured to:
integrating the historical operation logs of the devices based on running time to obtain attribute data of the device set in different time periods;
converting attribute data of the equipment set in different time periods into vectors;
and solving the vector based on a pre-configured recommendation algorithm to obtain a feature vector corresponding to the equipment set.
8. The apparatus according to claim 6, wherein the device set includes a trigger device and a controlled device, and the determining unit is specifically configured to:
for each time period, setting a linkage triggering condition corresponding to the time period according to the attribute data of the triggering equipment in the time period;
determining linkage action corresponding to the time period based on the incidence relation between the trigger equipment and the controlled equipment in the time period and the attribute data of the controlled equipment in the time period;
and generating a linkage strategy among the devices in the device set based on the corresponding linkage triggering conditions and linkage actions in different time periods.
9. The apparatus according to claim 8, wherein the operating unit is specifically configured to:
acquiring attribute data of the trigger equipment;
judging whether the attribute data of the trigger equipment meets the linkage trigger condition corresponding to the current time period;
and when determining that the attribute data of the trigger equipment meets the linkage trigger condition corresponding to the current time period, performing linkage operation on the controlled equipment based on the linkage action corresponding to the current time period.
10. The apparatus of claim 8 or 9, wherein the triggering device comprises a sensor and the controlled device comprises a smart home device.
11. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the device linkage method of any one of claims 1 to 5.
12. A storage medium in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform the device linkage method of any one of claims 1 to 5.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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| CN201911403062.6A CN111142398A (en) | 2019-12-30 | 2019-12-30 | Equipment linkage method and device, electronic equipment and storage medium |
| PCT/CN2020/140207 WO2021136188A1 (en) | 2019-12-30 | 2020-12-28 | Device linkage method and apparatus, electronic device, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201911403062.6A CN111142398A (en) | 2019-12-30 | 2019-12-30 | Equipment linkage method and device, electronic equipment and storage medium |
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| CN201911403062.6A Pending CN111142398A (en) | 2019-12-30 | 2019-12-30 | Equipment linkage method and device, electronic equipment and storage medium |
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| WO (1) | WO2021136188A1 (en) |
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| CN112327648A (en) * | 2020-11-09 | 2021-02-05 | 睿住科技有限公司 | Control method and device for household equipment and computer readable storage medium |
| WO2021136188A1 (en) * | 2019-12-30 | 2021-07-08 | 苏州欧普照明有限公司 | Device linkage method and apparatus, electronic device, and storage medium |
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