CN112130458A - Target device control method and device, storage medium and electronic device - Google Patents
Target device control method and device, storage medium and electronic device Download PDFInfo
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
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- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- 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
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Abstract
The invention provides a control method and a control device of target equipment, a storage medium and an electronic device, wherein the method comprises the following steps: uploading the use condition of the target object for the target equipment to a big data platform to indicate the big data platform to analyze the use condition to obtain the use mode of the target object using the target equipment, wherein the use condition comprises at least one of the following: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment; the control instruction corresponding to the use mode is received, and the target equipment is controlled to operate according to the operation mode indicated by the use mode, so that the problems that in the prior art, when the target equipment executes the fixed control instruction, different operation modes cannot be selected according to the use condition of the target object, and the like can be solved, the control instruction can be dynamically adjusted according to the use condition of the target object, the flexibility of controlling the target equipment is improved, and the user experience is improved.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a method and an apparatus for controlling a target device, a storage medium, and an electronic apparatus.
Background
With the development of smart home technology, the control mode of the household appliance device is increasingly intelligent, the intelligent household appliance can be automatically controlled to execute corresponding operations according to specific application scenes, and user experience is improved, wherein for the application scenes of intelligently adjusting the home environment, in the related art, the control of the intelligent household appliance device is generally an IFTTT model with fixed conditions, namely IF This is Then That, but the logic needs to acquire data of the device and is fixed conditions, and cannot be dynamically changed. So when the user is using it, if it is a fixed value such as on or off, but if the device is allowed to perform a certain value, such as 25 degrees celsius, high winds, etc., will not always meet the user's needs at that time. In the related art, the long-term behavior of the user is learned through machine learning, and then the user is helped to issue commands.
In addition, one of the execution time is named as turning on the air conditioner by taking the common scene in the industry as home returning example. The parameters such as the temperature, the wind speed, the wind direction and the like are not related to issuing, and are directly read from the local terminal. But in summer, when the user turns on the air conditioner when going home at noon, the temperature and the wind speed need to be adjusted down; but when going home at night, the temperature needs to be adjusted to be lower. However, since human behaviors are complex, pure machine learning cannot aim at a certain fixed command, different values may be selected according to different time points, a user cannot feel comfortable, and automatic opening by the user is sometimes considered as waste and offence.
In the related art, an effective technical scheme is not provided for the problem that different operation modes cannot be selected according to the use condition of a target object when a target device executes a fixed control instruction.
Disclosure of Invention
The embodiment of the invention provides a control method and device of target equipment, a storage medium and an electronic device, which are used for at least solving the problems that in the related art, when the target equipment executes a fixed control instruction, different operation modes cannot be selected according to the use condition of a target object and the like.
According to an embodiment of the present invention, there is provided a control method of a target apparatus, including: uploading the use condition of a target object for a target device to a big data platform to instruct the big data platform to analyze the use condition to obtain a use mode of the target object using the target device, wherein the use condition comprises at least one of the following: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment; and receiving a control instruction corresponding to the use mode, and controlling the target equipment to operate the target equipment according to the operation mode indicated by the use mode.
In one exemplary embodiment, uploading the usage of the target object for the target device to a big data platform comprises: acquiring identification information of the target equipment used by the target object, wherein the identification information is used for uniquely identifying the target equipment; and uploading the identification information and the use condition to the big data platform.
In an exemplary embodiment, uploading the identification information and the usage to the big data platform includes: under the condition that a plurality of target devices are arranged, determining the corresponding relation between the identification information and the use condition of each target device; and uploading the identification information and the use condition corresponding to the target devices to the big data platform.
In an exemplary embodiment, receiving a control instruction corresponding to the usage pattern includes: receiving a control instruction sent by a target application, wherein the target application is used for sending the control instruction to the target equipment according to the time indicated by the use mode and generating the control instruction according to the set parameters indicated by the use mode, and the control instruction carries the set parameters.
In an exemplary embodiment, controlling the target device to operate the target device according to the operation mode indicated by the usage mode includes: and controlling the target equipment to be switched on or off at the time indicated by the use mode, and running the target equipment according to the set parameters indicated by the use mode under the condition that the target equipment is switched on.
In an exemplary embodiment, after controlling the target device to operate the target device according to the operation mode indicated by the usage mode, the method further includes: when the target device monitors that the usage data changes, uploading the changed usage data to a big data platform to instruct the big data platform to analyze the changed usage situation to obtain a target usage mode of the target object using the target device, wherein the usage situation includes at least one of the following: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment; and receiving a target control instruction corresponding to the target use mode, and controlling the target equipment to operate the target equipment according to the operation mode indicated by the target use mode.
According to another embodiment of the present invention, there is provided a control apparatus of a target device including: the uploading module is used for uploading the use condition of the target object for the target device to a big data platform so as to instruct the big data platform to analyze the use condition and obtain the use mode of the target object using the target device, wherein the use condition comprises at least one of the following: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment; and the control module is used for receiving a control instruction corresponding to the use mode and controlling the target equipment to operate according to the operation mode indicated by the use mode.
In an exemplary embodiment, the uploading module is further configured to acquire identification information of the target device used by the target object, where the identification information is used to uniquely identify the target device; and uploading the identification information and the use condition to the big data platform.
In an exemplary embodiment, the uploading module is further configured to, when the number of the target devices is multiple, determine, for each target device, a corresponding relationship between the identification information and the usage; and uploading the identification information and the use condition corresponding to the target devices to the big data platform.
In an exemplary embodiment, the control module is further configured to receive a control instruction sent by a target application, where the target application is configured to send the control instruction to the target device according to the time indicated by the usage mode, and generate the control instruction according to a setting parameter indicated by the usage mode, where the control instruction carries the setting parameter.
In an exemplary embodiment, the control module is further configured to control the target device to turn on or turn off the target device at a time indicated by the usage mode, and in a case that the target device is turned on, operate the target device according to a setting parameter indicated by the usage mode.
In an exemplary embodiment, the apparatus further includes: a monitoring module, configured to upload, when the target device monitors that usage data changes, the changed usage data to a big data platform to instruct the big data platform to analyze the changed usage situation, so as to obtain a target usage mode in which the target object uses the target device, where the usage situation includes at least one of: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment; and receiving a target control instruction corresponding to the target use mode, and controlling the target equipment to operate the target equipment according to the operation mode indicated by the target use mode.
According to a further embodiment of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the invention, the use condition of the target object for the target equipment is uploaded to the big data platform to indicate the big data platform to analyze the use condition, so as to obtain the use mode of the target object using the target equipment, wherein the use condition comprises at least one of the following conditions: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment; receiving a control instruction corresponding to the use mode, controlling the target device to operate the target device according to the operation mode indicated by the use mode, namely monitoring and analyzing the use condition of the target device by the target object, generating the control instruction corresponding to the use mode, and controlling the target device to operate under the condition required by the target object.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a block diagram of a hardware configuration of a mobile terminal of a control method of a target device according to an embodiment of the present invention;
fig. 2 is a flowchart of a control method of a target device according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a control method of a target device in an alternative embodiment of the present invention;
fig. 4 is a block diagram of a control apparatus of a target device according to an embodiment of the present invention.
Detailed Description
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings in conjunction with the embodiments.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The method embodiments provided in the embodiments of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking an example of the present invention running on a mobile terminal, fig. 1 is a block diagram of a hardware structure of the mobile terminal of a method for controlling a target device according to an embodiment of the present invention. As shown in fig. 1, the mobile terminal may include one or more (only one shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), and a memory 104 for storing data, wherein the mobile terminal may further include a transmission device 106 for communication functions and an input-output device 108. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration, and does not limit the structure of the mobile terminal. For example, the mobile terminal may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to the control method of the target device in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, so as to implement the method described above. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the mobile terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, design computer communication networks, and combinations thereof.
The transmission device 106 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a Network adapter (NIC), which can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
In the present embodiment, a method for controlling a target device is provided, and fig. 2 is a flowchart of the method for controlling the target device according to the embodiment of the present invention, as shown in fig. 2, the flowchart includes the following steps:
step S202, uploading the use condition of the target object for the target device to a big data platform to instruct the big data platform to analyze the use condition to obtain the use mode of the target object using the target device, wherein the use condition comprises at least one of the following: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment;
step S204, receiving a control instruction corresponding to the use mode, and controlling the target device to operate the target device according to the operation mode indicated by the use mode.
Through the steps, the use condition of the target object for the target device is uploaded to a big data platform to indicate the big data platform to analyze the use condition, so as to obtain the use mode of the target object using the target device, wherein the use condition comprises at least one of the following: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment; receiving a control instruction corresponding to the use mode, controlling the target device to operate the target device according to the operation mode indicated by the use mode, namely monitoring and analyzing the use condition of the target device by the target object, generating the control instruction corresponding to the use mode, and controlling the target device to operate under the condition required by the target object.
It should be noted that the big data platform may implement artificial intelligence for classifying and dividing the use condition, and the big data platform may be located on the cloud server or in the server of the target device, which is not limited by the present invention.
In one exemplary embodiment, uploading the usage of the target object for the target device to a big data platform comprises: acquiring identification information of the target equipment used by the target object, wherein the identification information is used for uniquely identifying the target equipment; and uploading the identification information and the use condition to the big data platform.
In order to facilitate accurate identification of data corresponding to the use condition uploaded by the target device, the data can be better searched, and the identification information of the unique identification of the target device is acquired during uploading and is uploaded to a big data platform after being combined with the use condition.
In an exemplary embodiment, uploading the identification information and the usage to the big data platform includes: under the condition that a plurality of target devices are arranged, determining the corresponding relation between the identification information and the use condition of each target device; and uploading the identification information and the use condition corresponding to the target devices to the big data platform.
In short, a plurality of target devices used by a target object may exist in the same target area at the same time, and therefore, the use condition of each target device needs to be corresponded to the identification information of the target device, and the identification information and the use condition corresponding to the plurality of target devices are uploaded to the big data platform, so that when a target scene occurs in the target area, the use mode of the target device used by the target object is obtained according to the analysis result of the big data platform, and the target device required to operate is enabled better.
In an exemplary embodiment, receiving a control instruction corresponding to the usage pattern includes: receiving a control instruction sent by a target application, wherein the target application is used for sending the control instruction to the target equipment according to the time indicated by the use mode and generating the control instruction according to the set parameters indicated by the use mode, and the control instruction carries the set parameters.
That is to say, the usage mode of the target device is obtained by analyzing the usage condition of the target device by the big data platform, the usage mode is sent to the target application to generate a corresponding control instruction which can be used for controlling the operation of the target device, and then the control instruction carrying the set parameters is sent to the target device within the time indicated by the usage mode, so that the target device operates according to the parameters carried in the control instruction after being started.
In an exemplary embodiment, controlling the target device to operate the target device according to the operation mode indicated by the usage mode includes: and controlling the target equipment to be switched on or off at the time indicated by the use mode, and running the target equipment according to the set parameters indicated by the use mode under the condition that the target equipment is switched on.
In the using process of the target device, in order to improve the using efficiency of the target device, the using mode can also indicate the time information of the starting and the closing of the target device, so that the target device is used more flexibly, and under the condition that the target object does not actively modify the parameter configuration of the target device, the target device automatically operates the target device according to the set parameters indicated by the using mode under normal starting, so that more comfortable using experience is brought to the target object.
In an exemplary embodiment, after controlling the target device to operate the target device according to the operation mode indicated by the usage mode, the method further includes: when the target device monitors that the usage data changes, uploading the changed usage data to a big data platform to instruct the big data platform to analyze the changed usage situation to obtain a target usage mode of the target object using the target device, wherein the usage situation includes at least one of the following: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment; and receiving a target control instruction corresponding to the target use mode, and controlling the target equipment to operate the target equipment according to the operation mode indicated by the target use mode.
In short, in order to enable the control instruction of the target device to change according to the change of the use condition of the target object for the target device, when the use condition changes, the big data platform analyzes the target use mode of the target device according to the changed use condition, after the target device receives a new target control instruction, the target device starts the operation mode of the target device indicated by the changed target use mode, so that the use change of the target object is better satisfied by the target device, the dynamic adjustment of the control instruction is performed according to the use condition of the target object, and the flexibility of controlling the target device is improved.
In order to better understand the control process of the target device, the following description is made with reference to an alternative embodiment, but is not intended to limit the technical solutions of the embodiments of the present invention.
In an optional embodiment of the present invention, a user (equivalent to a target object in the embodiment of the present invention) creates an IFTTT scene (equivalent to a target application in the embodiment of the present invention) through an APP, and with an intelligent temperature adjustment example, big data (equivalent to a big data platform in the present invention) learns the air conditioner startup temperature according to the habit of recording the air conditioner used by the user recently, the big data learns the recent air conditioner startup habit of each device of the user, and outputs an operation mode learning result in an interface form, so as to obtain two groups of learning results: learning day mode (am8:00-pm9:00), night time (pm9:01-am7:59), including: mode, temperature, wind speed; the big data provides a data interface, two groups of learning results of each device are output from the interface, when the indoor temperature meets the condition in the shutdown state of the air conditioner, the IFTTT scene engine calls the corresponding learning result from the interface according to the triggering time and issues an instruction (which is equivalent to a control instruction in the embodiment of the invention) according to the learning result. After the IFTTT scene engine issues an instruction, a Media Access Control Address (MAC Address for short), an action and a time are synchronized to the big data, and the big data monitors subsequent intervention actions of a user and learns.
Optionally, the big data can be learned through a preset learning mechanism. For example, in the smart thermostat mode, a) learning is performed for 7 days in the past, with a daily startup duration > of 30min and a startup number of days > of 3 days. Learning the mode with the most use time, setting the temperature and the wind speed, and updating the learning result; b) if user intervention (user intervention within 30min of automatic startup) after the instruction is issued is monitored, updating by taking the last intervention of the user as a learning result; c) in the past 7 days, the daily startup duration is more than 30min, and the startup days are 0-3 days, the learning is not performed; d) in the past 7 days, the daily startup duration is more than 30min, the startup days are 0 day and are continuous for 8 times, and then the average heat sensation index (PMV for short) is taken as a learning result for updating; e) in the last 7 days, the starting time is more than 30min, if refrigeration and heating exist in the starting mode at the same time, the current time is not learned, and PMV is used as a learning result to update; f) learning frequency: once a day.
Fig. 3 is a flowchart illustrating a control method of a target device in an alternative embodiment of the present invention, including the following steps:
step 1, when a scene is triggered, reporting a command executed by equipment, and simultaneously uploading parameters such as trigger time, duration, current state of the equipment and the like;
step 2, classifying the data according to time end, and analyzing simultaneously, for example, analyzing the command of the user to the equipment 30 minutes after the scene is executed;
and 3, dynamically modifying the command value in the IFTTT scene according to the suggestion generated after the data processing.
Optionally, the embodiment of the present invention marks the user behavior by using the data reported by the device, and generates a device command corresponding to the user.
For example, after the home scene is executed, the user executes 10 device operation operations, 5 operations are performed at about 12 pm, and 3 operations are performed to adjust the temperature to 22 ℃ and adjust the wind speed to high wind; 5 times at about 7 o' clock at night, 3 times all adjust the temperature to 25 ℃, the wind speed is stroke, 2 time lines are generated by analyzing data, and dynamic temperature and wind speed of different time lines are issued; when the user returns home in the period of 11-13 o' clock, the temperature and the wind speed of the last noon air conditioner execution are simultaneously issued to the air conditioner after the home return is executed each time; when the user returns home at 6-8 o' clock at night, the temperature and the wind speed of the last night air conditioner execution are simultaneously sent to the air conditioner after the execution is carried out every time, and then the equipment can realize the dynamic adjustment of the equipment command after the user executes the fixed scene command.
In summary, the embodiment of the present invention provides a flow design method for dynamically modifying IFTTT functions after comprehensive calculation according to time, location, season, and other parameters based on data, and by analyzing user behavior data, a user can automatically adjust to an appropriate value at different times and seasons without repeatedly modifying configuration, thereby optimizing user experience to a certain extent. After the method is used, the scene of the user can be changed, for example, the same scene of going home, the devices to be executed by the users A and B and the related commands of the devices can be different, because the historical behavior data of the users A and B are different, the same scene of turning on the air conditioner of the user A can also have different set functions in summer and winter, and the mode executed in the scene of turning on in the morning and at noon in summer can also be correspondingly changed. And the change of the related parameters is deduced according to the historical behavior of the user within 30 minutes, so that the user does not feel obtrusive, and the original fixed scene becomes thousands of people in continuous learning.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
In this embodiment, a control device of a target device is further provided, where the control device is used to implement the foregoing embodiments and preferred embodiments, and details are not repeated for what has been described. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 4 is a block diagram of a control apparatus of a target device according to an embodiment of the present invention, and as shown in fig. 4, the apparatus includes:
(1) an uploading module 42, configured to upload a usage situation of a target object for a target device to a big data platform to instruct the big data platform to analyze the usage situation, so as to obtain a usage mode of the target object using the target device, where the usage situation includes at least one of: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment;
(2) and the control module 44 is configured to receive a control instruction corresponding to the usage mode, and control the target device to operate the target device according to the operation mode indicated by the usage mode.
By the device, the use condition of the target object for the target equipment is uploaded to a big data platform to instruct the big data platform to analyze the use condition to obtain the use mode of the target object using the target equipment, wherein the use condition comprises at least one of the following conditions: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment; receiving a control instruction corresponding to the use mode, controlling the target device to operate the target device according to the operation mode indicated by the use mode, namely monitoring and analyzing the use condition of the target device by the target object, generating the control instruction corresponding to the use mode, and controlling the target device to operate under the condition required by the target object.
It should be noted that the big data platform may implement artificial intelligence for classifying and dividing the use condition, and the big data platform may be located on the cloud server or in the server of the target device, which is not limited by the present invention.
In an exemplary embodiment, the uploading module is further configured to acquire identification information of the target device used by the target object, where the identification information is used to uniquely identify the target device; and uploading the identification information and the use condition to the big data platform.
In order to facilitate accurate identification of data corresponding to the use condition uploaded by the target device, the data can be better searched, and the identification information of the unique identification of the target device is acquired during uploading and is uploaded to a big data platform after being combined with the use condition.
In an exemplary embodiment, the uploading module is further configured to, when the number of the target devices is multiple, determine, for each target device, a corresponding relationship between the identification information and the usage; and uploading the identification information and the use condition corresponding to the target devices to the big data platform.
In short, a plurality of target devices used by a target object may exist in the same target area at the same time, and therefore, the use condition of each target device needs to be corresponded to the identification information of the target device, and the identification information and the use condition corresponding to the plurality of target devices are uploaded to the big data platform, so that when a target scene occurs in the target area, the use mode of the target device used by the target object is obtained according to the analysis result of the big data platform, and the target device required to operate is enabled better.
In an exemplary embodiment, the control module is further configured to receive a control instruction sent by a target application, where the target application is configured to send the control instruction to the target device according to the time indicated by the usage mode, and generate the control instruction according to a setting parameter indicated by the usage mode, where the control instruction carries the setting parameter.
That is to say, the usage mode of the target device is obtained by analyzing the usage condition of the target device by the big data platform, the usage mode is sent to the target application to generate a corresponding control instruction which can be used for controlling the operation of the target device, and then the control instruction carrying the set parameters is sent to the target device within the time indicated by the usage mode, so that the target device operates according to the parameters carried in the control instruction after being started.
In an exemplary embodiment, the control module is further configured to control the target device to turn on or turn off the target device at a time indicated by the usage mode, and in a case that the target device is turned on, operate the target device according to a setting parameter indicated by the usage mode.
In the using process of the target device, in order to improve the using efficiency of the target device, the using mode can also indicate the time information of the starting and the closing of the target device, so that the target device is used more flexibly, and under the condition that the target object does not actively modify the parameter configuration of the target device, the target device automatically operates the target device according to the set parameters indicated by the using mode under normal starting, so that more comfortable using experience is brought to the target object.
In an exemplary embodiment, the apparatus further includes: a monitoring module, configured to upload, when the target device monitors that usage data changes, the changed usage data to a big data platform to instruct the big data platform to analyze the changed usage situation, so as to obtain a target usage mode in which the target object uses the target device, where the usage situation includes at least one of: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment; and receiving a target control instruction corresponding to the target use mode, and controlling the target equipment to operate the target equipment according to the operation mode indicated by the target use mode.
In short, in order to enable the control instruction of the target device to change according to the change of the use condition of the target object for the target device, when the use condition changes, the big data platform analyzes the target use mode of the target device according to the changed use condition, after the target device receives a new target control instruction, the target device starts the operation mode of the target device indicated by the changed target use mode, so that the use change of the target object is better satisfied by the target device, the dynamic adjustment of the control instruction is performed according to the use condition of the target object, and the flexibility of controlling the target device is improved.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Embodiments of the present invention also provide a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:
s1, uploading the use condition of the target object for the target device to a big data platform to instruct the big data platform to analyze the use condition to obtain the use mode of the target object using the target device, wherein the use condition includes at least one of the following: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment;
and S2, receiving a control instruction corresponding to the use mode, and controlling the target device to operate the target device according to the operation mode indicated by the use mode.
Embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program is arranged to perform the steps of any of the above-mentioned method embodiments when executed.
In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
In an exemplary embodiment, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
In an exemplary embodiment, the processor may be configured to execute the following steps by a computer program:
s1, uploading the use condition of the target object for the target device to a big data platform to instruct the big data platform to analyze the use condition to obtain the use mode of the target object using the target device, wherein the use condition includes at least one of the following: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment;
and S2, receiving a control instruction corresponding to the use mode, and controlling the target device to operate the target device according to the operation mode indicated by the use mode.
For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary embodiments, and details of this embodiment are not repeated herein.
It will be apparent to those skilled in the art that the various modules or steps of the invention described above may be implemented using a general purpose computing device, they may be centralized on a single computing device or distributed across a network of computing devices, and they may be implemented using program code executable by the computing devices, such that they may be stored in a memory device and executed by the computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into various integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A control method of a target apparatus, characterized by comprising:
uploading the use condition of a target object for a target device to a big data platform to instruct the big data platform to analyze the use condition to obtain a use mode of the target object using the target device, wherein the use condition comprises at least one of the following: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment;
and receiving a control instruction corresponding to the use mode, and controlling the target equipment to operate the target equipment according to the operation mode indicated by the use mode.
2. The method of claim 1, wherein uploading the target object's usage of the target device to a big data platform comprises:
acquiring identification information of the target equipment used by the target object, wherein the identification information is used for uniquely identifying the target equipment;
and uploading the identification information and the use condition to the big data platform.
3. The method of claim 2, wherein uploading the identification information and the usage to the big data platform comprises:
under the condition that a plurality of target devices are arranged, determining the corresponding relation between the identification information and the use condition of each target device;
and uploading the identification information and the use condition corresponding to the target devices to the big data platform.
4. The method of claim 1, wherein receiving a control instruction corresponding to the usage pattern comprises:
receiving a control instruction sent by a target application, wherein the target application is used for sending the control instruction to the target equipment according to the time indicated by the use mode and generating the control instruction according to the set parameters indicated by the use mode, and the control instruction carries the set parameters.
5. The method of claim 1, wherein controlling the target device to operate in the operating mode indicated by the usage mode comprises:
and controlling the target equipment to be switched on or off at the time indicated by the use mode, and running the target equipment according to the set parameters indicated by the use mode under the condition that the target equipment is switched on.
6. The method of claim 1, wherein after controlling the target device to operate the target device in the operating mode indicated by the usage mode, the method further comprises:
when the target device monitors that the usage data changes, uploading the changed usage data to a big data platform to instruct the big data platform to analyze the changed usage situation to obtain a target usage mode of the target object using the target device, wherein the usage situation includes at least one of the following: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment;
and receiving a target control instruction corresponding to the target use mode, and controlling the target equipment to operate the target equipment according to the operation mode indicated by the target use mode.
7. A control apparatus of a target device, characterized by comprising:
the uploading module is used for uploading the use condition of the target object for the target device to a big data platform so as to instruct the big data platform to analyze the use condition and obtain the use mode of the target object using the target device, wherein the use condition comprises at least one of the following: the time when the target object uses the target equipment, and the setting parameters of the target object to the target equipment;
and the control module is used for receiving a control instruction corresponding to the use mode and controlling the target equipment to operate according to the operation mode indicated by the use mode.
8. The apparatus of claim 7, wherein the uploading module is further configured to obtain identification information of the target device used by the target object, wherein the identification information is used to uniquely identify the target device; and uploading the identification information and the use condition to the big data platform.
9. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to carry out the method of any one of claims 1 to 6 when executed.
10. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 6.
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| CN202010961891.2A CN112130458A (en) | 2020-09-14 | 2020-09-14 | Target device control method and device, storage medium and electronic device |
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