CN111371819B - Multi-device cooperation processing method and device, intelligent device and electronic device - Google Patents

Multi-device cooperation processing method and device, intelligent device and electronic device Download PDF

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Publication number
CN111371819B
CN111371819B CN201811590599.3A CN201811590599A CN111371819B CN 111371819 B CN111371819 B CN 111371819B CN 201811590599 A CN201811590599 A CN 201811590599A CN 111371819 B CN111371819 B CN 111371819B
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application instruction
intelligent
instruction
control center
execution result
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CN111371819A (en
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毕志国
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Midea Group Co Ltd
Midea Group Shanghai Co Ltd
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Midea Group Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/28Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2803Home automation networks
    • H04L12/2816Controlling appliance services of a home automation network by calling their functionalities

Abstract

The invention provides a multi-device cooperation processing method and device, intelligent equipment and electronic equipment, wherein the method comprises the following steps: after receiving an application instruction sent by an instruction demand side, judging whether the application instruction is an instruction capable of being executed by the intelligent equipment, if so, executing the application instruction by the intelligent equipment, otherwise, sending the application instruction to a control center, so that the control center selects other intelligent equipment with the capability of executing the application instruction within the range of a local area network to execute the application instruction. According to the multi-device cooperation processing method provided by the invention, when a certain intelligent device in the local area network cannot complete a corresponding application instruction, the multi-device cooperation processing method can be completed under the assistance of other intelligent devices in the local area network. Therefore, the invention can solve the problem that part of localized application effects can not be applied to devices with insufficient capacity through the virtual management in the local area network, thereby maximizing the utilization of effective resources, improving the overall utilization efficiency of the device group and reducing the cost.

Description

Multi-device cooperation processing method and device, intelligent device and electronic device
Technical Field
The invention relates to the technical field of intelligent equipment, in particular to a multi-equipment cooperation processing method and device, intelligent equipment and electronic equipment.
Background
With the improvement of living standard, each family is almost equipped with a plurality of intelligent devices, such as intelligent devices like televisions, refrigerators, ovens, smoke extractors, stereos and the like.
For the intelligent devices, the processing capacity of some devices is strong, and the refrigerator can realize the functions of image recognition, keyword intelligent search and the like. Some devices have weak processing capacity, can only realize some basic operations, such as an oven can only realize some simple functions of timing, alarming and the like, and cannot perform complex data processing.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a multi-device cooperation processing method and device, an intelligent device and an electronic device.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the present invention provides a multi-device cooperation processing method, including:
after receiving an application instruction sent by an instruction demand side, judging whether the application instruction is an instruction which can be executed by the intelligent equipment, if so, executing the application instruction by the intelligent equipment, otherwise, sending the application instruction to a control center, so that the control center selects other intelligent equipment with the application instruction execution capacity within a local area network to execute the application instruction;
receiving an execution result sent by the control center; and the execution result is an execution result sent to the control center by other intelligent equipment capable of executing the application instruction after the application instruction is executed.
Further, the instruction demander is a user side or a cloud side.
Further, the method further comprises:
and displaying or playing the received execution result.
Further, the method further comprises:
receiving another application instruction sent by the control center; the other application instruction is sent to the control center after the other intelligent equipment in the local area network receives the other application instruction sent by the instruction demander and is judged that the other intelligent equipment does not have the capacity of executing the other application instruction, and the intelligent equipment with the capacity of executing the other application instruction is selected by the control center in the local area network and then sent;
and executing the other application instruction to obtain another execution result, and sending the other execution result to the control center so that the control center sends the other execution result to the other intelligent equipment.
In a second aspect, the present invention further provides a multi-device cooperation processing method, including:
receiving an application instruction sent by the control center; the application instruction is an instruction which cannot be executed by other intelligent equipment within the range of the local area network;
and executing the application instruction to obtain an execution result, and sending the execution result to the control center so that the control center sends the execution result to the other intelligent equipment.
Further, the method further comprises:
after receiving another application instruction sent by an instruction demander, judging whether the another application instruction is an instruction which can be executed by the intelligent device, if so, executing the another application instruction by the intelligent device, otherwise, sending the another application instruction to a control center, so that the control center selects other intelligent devices with the capability of executing the another application instruction to execute the another application instruction within a local area network range;
receiving another execution result sent by the control center; and the other execution result is an execution result sent to the control center by other intelligent equipment capable of executing the other application instruction after the other application instruction is executed.
In a third aspect, the present invention further provides a multi-device cooperation processing method, including:
receiving an application instruction sent by intelligent equipment; the application instruction is sent by the intelligent equipment after the intelligent equipment receives the application instruction sent by an instruction demand side and is judged that the intelligent equipment does not have the capability of executing the application instruction;
selecting another intelligent device with the capability of executing the application instruction in a local area network where the intelligent device is located, and sending the application instruction to the another intelligent device so that the another intelligent device executes the application instruction;
receiving an execution result sent by the other intelligent device; the execution result is an execution result sent to the control center by another intelligent device after the application instruction is executed;
and sending the execution result to the intelligent equipment.
Further, the selecting another smart device capable of executing the application instruction in the local area network where the smart device is located includes:
and in the local area network where the intelligent equipment is located, selecting another intelligent equipment with the application instruction execution capability according to the preset processing capability of each intelligent equipment and the current actual operation capability of each intelligent equipment.
In a fourth aspect, the present invention further provides a multi-device cooperation processing apparatus, including:
the first judgment module is used for judging whether the application instruction is an instruction which can be executed by the intelligent equipment after receiving the application instruction sent by an instruction demander, if so, executing the application instruction by the intelligent equipment, otherwise, sending the application instruction to a control center so that the control center selects other intelligent equipment with the application instruction execution capacity within a local area network to execute the application instruction;
the first receiving module is used for receiving the execution result sent by the control center; and the execution result is an execution result sent to the control center by other intelligent equipment capable of executing the application instruction after the application instruction is executed.
In a fifth aspect, the present invention further provides a multi-device cooperation processing apparatus, including:
the second receiving module is used for receiving the application instruction sent by the control center; the application instruction is an instruction which cannot be executed by other intelligent equipment within the range of the local area network;
and the first execution module is used for executing the application instruction to obtain an execution result and sending the execution result to the control center so that the control center sends the execution result to the other intelligent equipment.
In a sixth aspect, the present invention further provides a multi-device cooperation processing apparatus, including:
the third receiving module is used for receiving the application instruction sent by the intelligent equipment; the application instruction is sent by the intelligent equipment after the intelligent equipment receives the application instruction sent by an instruction demand side and is judged that the intelligent equipment does not have the capability of executing the application instruction;
the selection module is used for selecting another intelligent device with the application instruction execution capability in a local area network where the intelligent device is located, and sending the application instruction to the other intelligent device so that the other intelligent device executes the application instruction;
a fourth receiving module, configured to receive an execution result sent by the another smart device; the execution result is an execution result sent to the control center by another intelligent device after the application instruction is executed;
and the sending module is used for sending the execution result to the intelligent equipment.
In a seventh aspect, the present invention further provides an intelligent device, including the multi-device cooperative processing apparatus according to the fourth aspect.
In an eighth aspect, the present invention further provides an intelligent device, including the multi-device cooperation processing apparatus according to the fifth aspect.
In a ninth aspect, the present invention further provides a server, including the multi-device cooperative processing apparatus according to the sixth aspect.
In a tenth aspect, the present invention further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the multi-device cooperation processing method according to the first to third aspects when executing the program.
In an eleventh aspect, the present invention also provides a computer-readable storage medium on which a computer program is stored, the computer program, when executed by a processor, implementing the steps of the multi-device cooperation processing method according to the first to third aspects.
According to the technical scheme, after receiving an application instruction sent by an instruction demand side, the multi-device cooperation processing method provided by the invention judges whether the application instruction is an instruction which can be executed by the intelligent device, if so, the application instruction is executed by the intelligent device, otherwise, the application instruction is sent to a control center, so that the control center selects other intelligent devices with the capability of executing the application instruction within the range of a local area network to execute the application instruction, and then receives an execution result sent by the control center; and the execution result is an execution result sent to the control center by other intelligent equipment capable of executing the application instruction after the application instruction is executed. Therefore, the multi-device cooperation processing method provided by the invention can be completed under the assistance of other intelligent devices in the local area network when a certain intelligent device in the local area network cannot complete the corresponding application instruction. Therefore, the invention can solve the problem that part of localized application effects can not be applied to devices with insufficient capacity through the virtual management in the local area network, thereby maximizing the utilization of effective resources, improving the overall utilization efficiency of the device group and reducing the cost. For example, the invention enables the conventional intelligent equipment in the local area network to enjoy the processing capacity of the high-configuration intelligent equipment, so that each piece of equipment in the local area network is not required to be configured with high-index hardware, the total cost of the intelligent equipment in the local area network can be reduced, and the user experience is not influenced. For example, in a home appliance application service scenario of a home local area network, a conventional home appliance device can enjoy a user experience effect of a highly configured home appliance device, for example, scene data (such as picture identification) which cannot be processed on a cigarette making machine can be processed by a refrigerator, and a result is issued to the cigarette making machine after the processing is finished. Therefore, the overall cost of the household appliance can be reduced, and high-index hardware does not need to be configured for each device.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a multi-device cooperation processing method according to an embodiment of the present invention;
fig. 2 is a flowchart of another multi-device cooperation processing method according to an embodiment of the present invention;
fig. 3 is a flowchart of another multi-device cooperation processing method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a multi-device cooperative processing apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another multi-device cooperative processing apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of another multi-device cooperative processing apparatus according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an electronic device according to yet another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a multi-device cooperation processing method, a multi-device cooperation processing device, intelligent devices and electronic devices, and the multi-device cooperation processing method provided by the invention can be completed under the assistance of other intelligent devices in a local area network when a certain intelligent device in the local area network cannot complete a corresponding application instruction, for example, conventional intelligent devices in the local area network can enjoy the processing capacity of high-configuration intelligent devices, so that high-index hardware does not need to be configured for each device in the local area network, the overall cost of the intelligent devices in the local area network can be reduced, and the user experience is not influenced. The multi-device cooperation processing method provided by the invention will be explained in detail through specific embodiments.
Fig. 1 shows a flowchart of a multi-device cooperation processing method according to an embodiment of the present invention, and referring to fig. 1, the multi-device cooperation processing method according to the embodiment of the present invention includes the following steps:
step 101: after receiving an application instruction sent by an instruction demand side, judging whether the application instruction is an instruction capable of being executed by the intelligent equipment, if so, executing the application instruction by the intelligent equipment, otherwise, sending the application instruction to a control center, so that the control center selects other intelligent equipment with the application instruction execution capability within a local area network to execute the application instruction.
In this step, the instruction demander may be a user side or a cloud side. When the instruction demand party is a user side, the application instruction sent by the smart device mobile side APP can be used for the user, and the application instruction directly input on the smart device by the user (for example, a key input or voice input mode is used).
In this step, the application instruction is generally an instruction for causing the smart device to perform corresponding data processing. The application instruction can be a section of speech input by a user through voice: "help me see how this kebab is baked", wherein the picture with the kebab has been downloaded to the smart device in advance.
In this step, the control center is typically a virtual gateway of a local area network. For example, for a home lan, the control center is typically a home virtual center, such as a home gateway, a router, and the like. It should be noted that the home lan is a network (bluetooth or Wi-Fi or Zigbee network) composed of a plurality of intelligent devices in a home, and in this network, transmission of information and instructions can be realized between devices and between the home virtual center and the devices.
In this step, some intelligent devices in the home lan have stronger processing capabilities, such as a refrigerator, a television, a washing machine, and the like, and some intelligent devices have weaker processing capabilities, such as a water heater, an electric cooker, an oven, a smoke extractor, and the like. Therefore, after receiving an application instruction sent by an instruction demander, a certain intelligent device in the local area network judges whether the application instruction is an instruction which can be executed by the intelligent device, if so, the intelligent device executes the application instruction, otherwise, the application instruction is sent to a control center, so that the control center selects other intelligent devices with the application instruction execution capability within the range of the local area network to execute the application instruction. For example, after an intelligent device oven in a local area network receives an application instruction (baked at 200 degrees celsius for 20 minutes) sent by a user, the application instruction (baked at 200 degrees celsius for 20 minutes) is judged to be an instruction which can be executed by the oven, and at this time, the application instruction is executed by the oven. For another example, after receiving an application instruction ("help me see how this toast string is toasted") sent by a user, an intelligent device oven in the local area network determines that the application instruction ("help me see how this toast string is toasted") relates to the contents of picture recognition and keyword search, and the oven itself does not have the processing capability of picture recognition and keyword search, so the application instruction is not an instruction that the oven can execute itself, and at this time, the intelligent device oven should send the application instruction ("help me see how this toast string is toasted") to a control center, so that the control center selects other intelligent devices with the capability of executing the application instruction within the local area network to execute the application instruction. For example, the control center queries the database to find that a refrigerator in the lan has the capability of executing the application command, and therefore, the control center sends the application command ("help me see how the kebab is baked") to the smart device refrigerator in the lan, and the refrigerator executes the application command to obtain an execution result (for example, the kebab is a beancurd roll and needle mushroom kebab which is obtained by baking a beancurd roll with needle mushroom at a temperature of 220 ℃ for 10 minutes in an oven). Accordingly, after the refrigerator obtains the execution result, the execution result needs to be fed back to the control center, and the control center feeds the execution result back to the oven, so that the oven can feed the execution result back to the user.
Step 102: receiving an execution result sent by the control center; and the execution result is an execution result sent to the control center by other intelligent equipment capable of executing the application instruction after the application instruction is executed.
In this step, after the other intelligent devices capable of executing the application instruction execute the application instruction, the other intelligent devices send the execution result to the control center, so that the control center sends the execution result to the required device (that is, the intelligent device that receives the application instruction sent by the instruction demander), so that the required device can feed back the execution result to the user.
According to the technical scheme, after receiving an application instruction sent by an instruction demander, the multi-device cooperation processing method provided by the embodiment judges whether the application instruction is an instruction capable of being executed by the intelligent device, if so, the intelligent device executes the application instruction, otherwise, the application instruction is sent to a control center, so that the control center selects other intelligent devices with the capability of executing the application instruction within a local area network to execute the application instruction, and then receives an execution result sent by the control center; and the execution result is an execution result sent to the control center by other intelligent equipment capable of executing the application instruction after the application instruction is executed. Therefore, the multi-device cooperation processing method provided by the embodiment can be completed under the assistance of other intelligent devices in the local area network when a certain intelligent device in the local area network cannot complete a corresponding application instruction. Therefore, the problem that part of localized application effects cannot be applied to devices with insufficient capacity can be solved through the virtualization management in the local area network, so that effective resources are utilized to the maximum extent, the overall utilization efficiency of a device group is improved, and the cost is reduced. For example, in this embodiment, the conventional intelligent device in the local area network can enjoy the processing capability of the highly-configured intelligent device, so that it is no longer necessary for each device in the local area network to configure high-index hardware, and therefore the overall cost of the intelligent device in the local area network can be reduced, and the user experience is not affected. For example, in a home appliance application service scenario of a home lan, a conventional home appliance device may enjoy a user experience effect of a highly configured home appliance device, for example, scene data (such as voice recognition) that cannot be processed on a cigarette making machine may be processed by a refrigerator, and the result is issued to the cigarette making machine after the processing is completed. Therefore, the overall cost of the household appliance can be reduced, and high-index hardware does not need to be configured for each device.
Based on the content of the foregoing embodiment, in an optional implementation manner, the method further includes:
step 103: and displaying or playing the received execution result.
In this embodiment, after receiving the execution result sent by the control center, the demand device (i.e., the intelligent device that receives the application instruction sent by the instruction demander) may display or play the execution result on the demand device. For example, the execution result (the kebab is a beancurd sheet needle mushroom kebab which is obtained by baking needle mushrooms on beancurd sheets for 10 minutes at 220 ℃ in an oven) can be presented in the oven in a text and picture mode or in a voice playing mode.
Based on the content of the foregoing embodiment, in an optional implementation manner, the method further includes:
receiving another application instruction sent by the control center; the other application instruction is sent to the control center after the other intelligent equipment in the local area network receives the other application instruction sent by the instruction demander and is judged that the other intelligent equipment does not have the capacity of executing the other application instruction, and the intelligent equipment with the capacity of executing the other application instruction is selected by the control center in the local area network and then sent;
and executing the other application instruction to obtain another execution result, and sending the other execution result to the control center so that the control center sends the other execution result to the other intelligent equipment.
In the present embodiment, since the processing capabilities of the respective smart devices in the home or office lan are different, the functions of the respective smart devices may be complementary to each other. For example, the smart device a (e.g., an oven) does not have a picture recognition function, but has a voice recognition function or a fingerprint recognition function. While the smart device B (refrigerator) has a picture recognition function, it does not have a voice recognition function or a fingerprint recognition function. Therefore, if the oven receives another application instruction (such as a voice recognition instruction) which cannot be processed by the refrigerator, the voice recognition instruction can be executed according to the processing capability of the equipment and a voice recognition result is obtained, then the voice recognition result is sent to the control center, and the voice recognition result is fed back to the refrigerator by the control center, so that the refrigerator obtains the voice recognition result and performs corresponding subsequent operation according to the voice recognition result.
As can be seen from the above description, all the processing modules (or highly configured hardware) that may be used (such as the picture recognition chip, the voice recognition chip, the fingerprint recognition chip, the search engine module, the knowledge base module, the failure processing module, etc.) do not need to be configured on each smart device, but these processing resources can be shared through cooperation among multiple devices, so that the overall device cost in the local area network can be reduced.
Based on the same inventive concept, another embodiment of the present invention provides a multi-device cooperation processing method, referring to fig. 2, the method including:
step 201: receiving an application instruction sent by the control center; the application instruction is an instruction which cannot be executed by other intelligent equipment within the range of the local area network.
In this step, the application instruction may be an instruction that is sent to the control center by other intelligent devices in the same lan range after receiving the application instruction sent by the instruction demander and judging that the other intelligent devices do not have the capability of executing the application instruction, and that is sent by the control center after selecting an intelligent device having the capability of executing the application instruction in the lan range.
In this step, because the processing capabilities of the intelligent devices in the home or office lan are different, some intelligent devices have high processing capabilities and some intelligent devices have low processing capabilities, and when receiving an application instruction that cannot be processed by the intelligent device, the intelligent device with low processing capabilities can request assistance processing from the device with high processing capabilities through the control center. When receiving an instruction which is forwarded by the control center and needs to assist other intelligent devices in processing, the intelligent device with high processing capacity processes the instruction according to the conditions of the processor of the intelligent device, and sends a processing result to the control center, and the control center sends the processing result to the intelligent device with low processing capacity. Therefore, through the cooperation processing, hardware with high processing capacity (such as a picture recognition chip, a voice recognition chip, a fingerprint recognition chip, a search engine module, a knowledge base module, a fault processing module and the like) does not need to be configured on each intelligent device, and the processing resources can be shared through cooperation among multiple devices, so that the total device cost in the local area network can be reduced.
For example, after an intelligent device oven in a local area network receives an application instruction ("help me see how this toasting string is toasted") sent by a user, the application instruction ("help me see how this toasting string is toasted") is judged to relate to the contents of picture recognition and keyword search, and the oven does not have the processing capability of picture recognition and keyword search, so that the application instruction is not an instruction which can be executed by the oven itself, and at this time, the intelligent device oven should send the application instruction ("help me see how this toasting string is toasted") to a control center, so that the control center selects other intelligent devices with the capability of executing the application instruction within the range of the local area network to execute the application instruction. The control center inquires a database to find that the refrigerator in the local area network has the capability of executing the application instruction, so that the control center can send the application instruction (to help me see how the kebab is baked) to the intelligent equipment refrigerator in the local area network, the refrigerator calls an image recognition algorithm and a search algorithm through a cloud end, after local operation is performed, a recognition result (if the kebab is a bean roll flammulina velutipes kebab which is baked by an oven at the temperature of 220 ℃ for 10 minutes) is sent to the control center, the control center sends the recognition result to the oven, and after the oven receives the recognition result, the user is informed in a voice and large-screen display mode according to the recognition result, and the next operation requirement of the user is consulted.
Step 202: and executing the application instruction to obtain an execution result, and sending the execution result to the control center so that the control center sends the execution result to the other intelligent equipment.
In this step, it should be noted that, when the smart device receives a plurality of application instructions simultaneously, the application instructions should be sequentially processed according to the queue sorting order. For example, when receiving application instructions sent by three intelligent devices, namely, an oven, an electric cooker and a microwave oven, the refrigerator should sequentially process the application instructions according to the queue sequence.
As can be seen from the foregoing technical solutions, in the multi-device cooperation processing method provided in this embodiment, the application instruction sent by the control center is received, the application instruction is executed to obtain an execution result, and the execution result is sent to the control center, so that the control center sends the execution result to the other intelligent devices. The application instruction is sent to the control center when other intelligent equipment in the local area network receives the application instruction sent by the instruction demander and judges that the intelligent equipment does not have the capability of executing the application instruction, and the intelligent equipment with the capability of executing the application instruction is selected by the control center in the local area network and then sent. Therefore, according to the multi-device cooperation processing method provided by the embodiment, when a certain intelligent device in the local area network cannot complete a corresponding application instruction, the processing can be completed with the assistance of other intelligent devices in the local area network, so that the conventional intelligent device in the local area network can enjoy the processing capability of the highly-configured intelligent device, and therefore each device in the local area network is not required to be configured with high-index hardware, the overall cost of the intelligent device in the local area network can be reduced, and the user experience is not influenced. For example, in a home appliance application service scenario of a home lan, a conventional home appliance device may enjoy a user experience effect of a highly configured home appliance device, for example, scene data (such as voice recognition) that cannot be processed on a cigarette making machine may be processed by a refrigerator, and the result is issued to the cigarette making machine after the processing is completed. Therefore, the overall cost of the household appliance can be reduced, and high-index hardware does not need to be configured for each device.
Based on the content of the foregoing embodiment, in an optional implementation manner, the method further includes:
after receiving another application instruction sent by an instruction demander, judging whether the another application instruction is an instruction which can be executed by the intelligent device, if so, executing the another application instruction by the intelligent device, otherwise, sending the another application instruction to a control center, so that the control center selects other intelligent devices with the capability of executing the another application instruction to execute the another application instruction within a local area network range;
receiving another execution result sent by the control center; and the other execution result is an execution result sent to the control center by other intelligent equipment capable of executing the other application instruction after the other application instruction is executed.
In this embodiment, the smart device may not only help other devices to solve tasks that cannot be processed by other devices, but also may encounter a task request directed to the device itself by the demander. For example, after the intelligent device receives another application instruction sent by an instruction demander, the intelligent device judges whether the another application instruction is an instruction which can be executed by the intelligent device, if so, the intelligent device executes the instruction, otherwise, the another application instruction is sent to a control center, so that the control center selects other intelligent devices with the capability of executing the another application instruction to execute the another application instruction within a local area network; correspondingly, the intelligent equipment receives another execution result sent by the control center; and the other execution result is an execution result sent to the control center by other intelligent equipment capable of executing the other application instruction after the other application instruction is executed. It should be noted that the other intelligent devices are other devices in the local area network, which are different from the demand device (i.e., the intelligent device that receives another application instruction sent by the instruction demand party).
Therefore, in the embodiment, the intelligent devices in the local area network can perform mutual cooperation processing, so that the user instruction which cannot be completed by the intelligent devices can be completed, all the functional modules which are possibly used do not need to be configured in each intelligent device, the overall cost of the devices in the local area network can be reduced, and the user experience is not influenced.
Another embodiment of the present invention provides a multi-device cooperation processing method, and referring to fig. 3, the method includes:
step 301: receiving an application instruction sent by intelligent equipment; the application instruction is sent by the intelligent device after receiving the application instruction sent by the instruction demand side and judging that the intelligent device does not have the capability of executing the application instruction.
In this step, after receiving the application instruction ("help me see how the roast string is baked") sent by the instruction demander, the smart device (e.g. oven) determines that the smart device does not have the capability of executing the application instruction, so that the application instruction is sent to the lan control center, and after receiving the application instruction sent by the smart device (e.g. oven), the control center selects another smart device (e.g. refrigerator) in the lan where the smart device is located, and sends the application instruction to the another smart device, so that the another smart device executes the application instruction.
Step 302: and selecting another intelligent device with the capability of executing the application instruction in the local area network where the intelligent device is positioned, and sending the application instruction to the another intelligent device so as to enable the another intelligent device to execute the application instruction.
In this step, another intelligent device such as a refrigerator executes the application instructions according to the hardware processing resources owned by the device itself to obtain the execution result (for example, the kebab is a beancurd roll and needle mushroom kebab which is obtained by baking a beancurd roll with needle mushroom at 220 ℃ for 10 minutes in an oven).
Step 303: receiving an execution result sent by the other intelligent device; and the execution result is an execution result sent to the control center by another intelligent device after the application instruction is executed.
In this step, after the other intelligent device refrigerator executes the application instruction according to the hardware processing resource of the device itself to obtain the execution result, the execution result is sent to the control center, and the control center sends the execution result to the intelligent device oven after receiving the execution result sent by the other intelligent device.
Step 304: and sending the execution result to the intelligent equipment.
In this step, the control center sends the execution result fed back by the other intelligent device to the intelligent device, so that the intelligent device can feed back the execution result to the user.
Therefore, in the embodiment, through the virtual management of the local area network control center in the local area network, the problem that part of the localized application effect (such as the picture recognition effect on the refrigerator) cannot be applied to the device with insufficient capacity (such as the oven) can be solved, so that the effective resources are utilized to the maximum extent, the overall utilization efficiency of the device group is improved, and the cost is reduced.
As can be seen from the foregoing technical solutions, in the multi-device cooperation processing method provided in this embodiment, an application instruction sent by an intelligent device is received, another intelligent device capable of executing the application instruction is selected in a local area network where the intelligent device is located, and the application instruction is sent to the another intelligent device, so that the another intelligent device executes the application instruction and receives an execution result sent by the another intelligent device; and the execution result is an execution result sent to the control center by another intelligent device after the application instruction is executed, and the execution result is sent to the intelligent device. The application instruction is sent by the intelligent device after receiving the application instruction sent by the instruction demand side and judging that the intelligent device does not have the capability of executing the application instruction. Therefore, the multi-device cooperation processing method provided by the embodiment can be completed under the assistance of other intelligent devices in the local area network when a certain intelligent device in the local area network cannot complete a corresponding application instruction. The embodiment can solve the problem that part of localized application effects cannot be applied to the equipment with insufficient capacity through the virtualization management in the local area network, thereby maximally utilizing effective resources, improving the overall utilization efficiency of the equipment group and reducing the cost. For example, the conventional intelligent device (oven) in the local area network can enjoy the processing capacity of the highly configured intelligent device (refrigerator), so that each device in the local area network is not required to be configured with high-index hardware, the overall cost of the intelligent device in the local area network can be reduced, and the user experience is not influenced. For example, in a home appliance application service scenario of a home lan, a conventional home appliance device may enjoy a user experience effect of a highly configured home appliance device, for example, scene data (such as voice recognition) that cannot be processed on a cigarette making machine may be processed by a refrigerator, and the result is issued to the cigarette making machine after the processing is completed. Therefore, the overall cost of the household appliance can be reduced, and high-index hardware does not need to be configured for each device.
Based on the content of the foregoing embodiment, in an optional implementation manner, the selecting, in a local area network where the smart device is located, another smart device having a capability of executing the application instruction includes:
and in the local area network where the intelligent equipment is located, selecting another intelligent equipment with the application instruction execution capability according to the preset processing capability of each intelligent equipment and the current actual operation capability of each intelligent equipment.
In this embodiment, the local area network control center may select, in the local area network where the smart device is located, another smart device having the capability of executing the application instruction according to the preset processing capability of each smart device and the current actual operation capability of each smart device.
It should be noted that the database of the control center stores preset processing capabilities of each intelligent device in advance, for example, the refrigerator has a picture recognition capability, a data calculation capability, a keyword search capability, and a picture search capability. The oven has voice recognition capability. The smoke extractor has the alarm capability; television sets have key word searching capabilities, and the like.
It should be noted that, when performing task allocation, the control center checks the current actual operation capability of each intelligent device in addition to the preset processing capability of each intelligent device, and performs task allocation by combining the preset processing capability and the current actual operation capability of each intelligent device. For example, the intelligent device C and the intelligent device D both have the capability of processing the application instruction, but there are 3 tasks waiting for queuing processing in the intelligent device C at present, and there is no task waiting for queuing processing in the intelligent device D at present, so the control center can preferentially send the application instruction to the intelligent device D having corresponding processing capability and fewer tasks at present, so as to improve the data feedback speed as much as possible, and further improve the user experience.
Another embodiment of the present invention provides a multi-device cooperative processing apparatus, and referring to fig. 4, the apparatus includes: a first judging module 11 and a first receiving module 12, wherein:
the first judging module 11 is configured to judge whether an application instruction is an instruction that can be executed by the intelligent device itself after receiving the application instruction sent by an instruction demander, if so, execute the application instruction by the intelligent device itself, otherwise, send the application instruction to a control center, so that the control center selects another intelligent device with an ability to execute the application instruction within a range of a local area network to execute the application instruction;
a first receiving module 12, configured to receive an execution result sent by the control center; and the execution result is an execution result sent to the control center by other intelligent equipment capable of executing the application instruction after the application instruction is executed.
Since the multi-device cooperative processing apparatus provided in this embodiment may be used to execute the multi-device cooperative processing method described in the above embodiment, the operation principle and the beneficial effect thereof are similar, and detailed descriptions are omitted here, and specific contents may refer to the description of the above embodiment.
Based on the same inventive concept, another embodiment of the present invention provides an intelligent device, including the multi-device cooperative processing apparatus described in the above embodiment.
Since the intelligent device provided by this embodiment includes the multi-device cooperative processing apparatus described in the above embodiment, similar advantageous effects can be achieved, and specific contents may be referred to the description of the above method or apparatus embodiment.
It should be noted that the intelligent device provided in this embodiment may be an intelligent device such as an intelligent household appliance and an intelligent household appliance in a home lan, for example, an intelligent device such as an air conditioner, a refrigerator, a television, a washing machine, a water heater, an indoor lamp, an electric rice cooker, a smoke extractor, a camera, a mobile phone, an intelligent earphone, and an intelligent player. The intelligent household appliance can also be intelligent office equipment, intelligent household appliances and other intelligent equipment in an office local area network, such as intelligent equipment of an air conditioner, a refrigerator, a television, a slide show player, a water heater, an indoor lamp, a high-speed shooting instrument and the like.
Another embodiment of the present invention provides a multi-device cooperative processing apparatus, and referring to fig. 5, the apparatus includes: a second receiving module 21 and a first executing module 22, wherein:
a second receiving module 21, configured to receive an application instruction sent by the control center; the application instruction is an instruction which cannot be executed by other intelligent equipment within the range of the local area network;
the first execution module 22 is configured to execute the application instruction to obtain an execution result, and send the execution result to the control center, so that the control center sends the execution result to the other intelligent devices.
Since the multi-device cooperative processing apparatus provided in this embodiment may be used to execute the multi-device cooperative processing method described in the above embodiment, the operation principle and the beneficial effect thereof are similar, and detailed descriptions are omitted here, and specific contents may refer to the description of the above embodiment.
Based on the same inventive concept, another embodiment of the present invention provides an intelligent device, including the multi-device cooperative processing apparatus described in the above embodiment.
Since the intelligent device provided by this embodiment includes the multi-device cooperative processing apparatus described in the above embodiment, similar advantageous effects can be achieved, and specific contents may be referred to the description of the above method or apparatus embodiment.
It should be noted that the intelligent device provided in this embodiment may be an intelligent device such as an intelligent household appliance and an intelligent household appliance in a home lan, for example, an intelligent device such as an air conditioner, a refrigerator, a television, a washing machine, a water heater, an indoor lamp, an electric rice cooker, a smoke extractor, a camera, a mobile phone, an intelligent earphone, and an intelligent player. The intelligent household appliance can also be intelligent office equipment, intelligent household appliances and other intelligent equipment in an office local area network, such as intelligent equipment of an air conditioner, a refrigerator, a television, a slide show player, a water heater, an indoor lamp, a high-speed shooting instrument and the like.
Another embodiment of the present invention provides a multi-device cooperative processing apparatus, and referring to fig. 6, the apparatus includes: a third receiving module 31, a selecting module 32, a fourth receiving module 33 and a sending module 34, wherein:
a third receiving module 31, configured to receive an application instruction sent by the smart device; the application instruction is sent by the intelligent equipment after the intelligent equipment receives the application instruction sent by an instruction demand side and is judged that the intelligent equipment does not have the capability of executing the application instruction;
a selecting module 32, configured to select another smart device capable of executing the application instruction in a local area network where the smart device is located, and send the application instruction to the another smart device, so that the another smart device executes the application instruction;
a fourth receiving module 33, configured to receive an execution result sent by the another smart device; the execution result is an execution result sent to the control center by another intelligent device after the application instruction is executed;
and a sending module 34, configured to send the execution result to the smart device.
Since the multi-device cooperative processing apparatus provided in this embodiment may be used to execute the multi-device cooperative processing method described in the above embodiment, the operation principle and the beneficial effect thereof are similar, and detailed descriptions are omitted here, and specific contents may refer to the description of the above embodiment.
Based on the same inventive concept, another embodiment of the present invention provides a server including the multi-device cooperative processing apparatus described above.
Since the server provided in this embodiment includes the multi-device cooperative processing apparatus described in the above embodiment, similar advantageous effects can be achieved, and specific contents may be referred to the description of the above method or apparatus embodiment.
It should be noted that the server provided in this embodiment may be a virtual management center in a home lan or an office lan, such as a gateway, a router, and other devices.
Based on the same inventive concept, another embodiment of the present invention provides an electronic device, which specifically includes the following components, with reference to fig. 7: a processor 701, a memory 702, a communication interface 703 and a bus 704;
the processor 701, the memory 702 and the communication interface 703 complete mutual communication through the bus 704; the communication interface 703 is used for realizing information transmission between related devices such as modeling software, an intelligent manufacturing equipment module library and the like;
the processor 701 is configured to call a computer program in the memory 702, and when the processor executes the computer program, the processor implements all the steps of the above-described multi-device cooperation processing method, for example, when the processor executes the computer program, the processor implements the following steps:
step 101: after receiving an application instruction sent by an instruction demand side, judging whether the application instruction is an instruction which can be executed by the intelligent equipment, if so, executing the application instruction by the intelligent equipment, otherwise, sending the application instruction to a control center, so that the control center selects other intelligent equipment with the application instruction execution capacity within a local area network to execute the application instruction;
step 102: receiving an execution result sent by the control center; and the execution result is an execution result sent to the control center by other intelligent equipment capable of executing the application instruction after the application instruction is executed.
Based on the same inventive concept, another embodiment of the present invention provides a computer-readable storage medium, having a computer program stored thereon, where the computer program is executed by a processor to implement all the steps of the above-mentioned multiple-device cooperative processing methods, for example, when the processor executes the computer program, the processor implements the following steps:
step 101: after receiving an application instruction sent by an instruction demand side, judging whether the application instruction is an instruction which can be executed by the intelligent equipment, if so, executing the application instruction by the intelligent equipment, otherwise, sending the application instruction to a control center, so that the control center selects other intelligent equipment with the application instruction execution capacity within a local area network to execute the application instruction;
step 102: receiving an execution result sent by the control center; and the execution result is an execution result sent to the control center by other intelligent equipment capable of executing the application instruction after the application instruction is executed.
In the description of the present invention, it should be noted that the terms "upper", "lower", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, which are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and operate, and thus, should not be construed as limiting the present invention. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are intended to be inclusive and mean, for example, that they may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
It is further noted that, herein, relational terms such as one and the other are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above examples are only for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (15)

1. A multi-device cooperation processing method is characterized by comprising the following steps:
after receiving an application instruction sent by an instruction demand side, judging whether the application instruction is an instruction which can be executed by the intelligent equipment, if so, executing the application instruction by the intelligent equipment, otherwise, sending the application instruction to a control center, so that the control center selects other intelligent equipment with the application instruction execution capacity within a local area network to execute the application instruction;
receiving an execution result sent by the control center; the execution result is an execution result sent to the control center by other intelligent equipment capable of executing the application instruction after the application instruction is executed;
when a plurality of application instructions are received simultaneously, processing is carried out in sequence according to queue sequencing;
when the control center performs task allocation, checking the preset processing capacity of each intelligent device and the current actual operation capacity of each intelligent device, wherein the actual operation capacity comprises: the number of tasks currently waiting to be queued for processing by the smart device.
2. The method of claim 1, wherein the command requester is a client or a cloud.
3. The method of claim 1, further comprising:
and displaying or playing the received execution result.
4. The method of claim 1, further comprising:
receiving another application instruction sent by the control center; the other application instruction is sent to the control center after the other intelligent equipment in the local area network receives the other application instruction sent by the instruction demander and is judged that the other intelligent equipment does not have the capacity of executing the other application instruction, and the intelligent equipment with the capacity of executing the other application instruction is selected by the control center in the local area network and then sent;
and executing the other application instruction to obtain another execution result, and sending the other execution result to the control center so that the control center sends the other execution result to the other intelligent equipment.
5. A multi-device cooperation processing method is characterized by comprising the following steps:
receiving an application instruction sent by a control center; the application instruction is an instruction which cannot be executed by other intelligent equipment within the range of the local area network;
executing the application instruction to obtain an execution result, and sending the execution result to the control center so that the control center sends the execution result to the other intelligent equipment;
when a plurality of application instructions are received simultaneously, processing is carried out in sequence according to queue sequencing;
the sending target of the application instruction is determined by the control center based on the preset processing capacity of each intelligent device and the current actual operation capacity of each intelligent device, and the actual operation capacity comprises: the number of tasks currently waiting to be queued for processing by the smart device.
6. The method of claim 5, further comprising:
after receiving another application instruction sent by an instruction demander, judging whether the another application instruction is an instruction which can be executed by the intelligent device, if so, executing the another application instruction by the intelligent device, otherwise, sending the another application instruction to a control center, so that the control center selects other intelligent devices with the capability of executing the another application instruction to execute the another application instruction within a local area network range;
receiving another execution result sent by the control center; and the other execution result is an execution result sent to the control center by other intelligent equipment capable of executing the other application instruction after the other application instruction is executed.
7. A multi-device cooperation processing method is characterized by comprising the following steps:
receiving an application instruction sent by intelligent equipment; the application instruction is sent by the intelligent equipment after the intelligent equipment receives the application instruction sent by an instruction demand side and is judged that the intelligent equipment does not have the capability of executing the application instruction;
selecting another intelligent device with the capability of executing the application instruction in a local area network where the intelligent device is located, and sending the application instruction to the another intelligent device so that the another intelligent device executes the application instruction;
receiving an execution result sent by the other intelligent device; the execution result is an execution result sent to the control center by another intelligent device after the application instruction is executed;
sending the execution result to the intelligent equipment;
the selecting another intelligent device with the capability of executing the application instruction in the local area network where the intelligent device is located comprises:
in a local area network where the intelligent equipment is located, selecting another intelligent equipment with the application instruction execution capability according to the preset processing capability of each intelligent equipment and the current actual operation capability of each intelligent equipment;
the actual operation capability includes: the number of tasks currently waiting to be queued for processing by the smart device.
8. A multi-device cooperative processing apparatus, comprising:
the first judgment module is used for judging whether the application instruction is an instruction which can be executed by the intelligent equipment after receiving the application instruction sent by an instruction demander, if so, executing the application instruction by the intelligent equipment, otherwise, sending the application instruction to a control center so that the control center selects other intelligent equipment with the application instruction execution capacity within a local area network to execute the application instruction;
the first receiving module is used for receiving the execution result sent by the control center; the execution result is an execution result sent to the control center by other intelligent equipment capable of executing the application instruction after the application instruction is executed;
when a plurality of application instructions are received simultaneously, processing is carried out in sequence according to queue sequencing;
when the control center performs task allocation, checking the preset processing capacity of each intelligent device and the current actual operation capacity of each intelligent device, wherein the actual operation capacity comprises: the number of tasks currently waiting to be queued for processing by the smart device.
9. A multi-device cooperative processing apparatus, comprising:
the second receiving module is used for receiving the application instruction sent by the control center; the application instruction is an instruction which cannot be executed by other intelligent equipment within the range of the local area network;
the first execution module is used for executing the application instruction to obtain an execution result and sending the execution result to the control center so that the control center sends the execution result to the other intelligent devices;
when a plurality of application instructions are received simultaneously, processing is carried out in sequence according to queue sequencing;
the sending target of the application instruction is determined by the control center based on the preset processing capacity of each intelligent device and the current actual operation capacity of each intelligent device, and the actual operation capacity comprises: the number of tasks currently waiting to be queued for processing by the smart device.
10. A multi-device cooperative processing apparatus, comprising:
the third receiving module is used for receiving the application instruction sent by the intelligent equipment; the application instruction is sent by the intelligent equipment after the intelligent equipment receives the application instruction sent by an instruction demand side and is judged that the intelligent equipment does not have the capability of executing the application instruction;
the selection module is used for selecting another intelligent device with the application instruction execution capability in a local area network where the intelligent device is located, and sending the application instruction to the other intelligent device so that the other intelligent device executes the application instruction;
a fourth receiving module, configured to receive an execution result sent by the another smart device; the execution result is an execution result sent to the control center by another intelligent device after the application instruction is executed;
the sending module is used for sending the execution result to the intelligent equipment;
the selection module is further configured to:
in a local area network where the intelligent equipment is located, selecting another intelligent equipment with the application instruction execution capability according to the preset processing capability of each intelligent equipment and the current actual operation capability of each intelligent equipment;
the actual operation capability includes: the number of tasks currently waiting to be queued for processing by the smart device.
11. An intelligent device, characterized by comprising the multi-device cooperative processing apparatus according to claim 8.
12. An intelligent device, characterized by comprising the multi-device cooperative processing apparatus according to claim 9.
13. A server characterized by comprising the multi-device cooperative processing apparatus according to claim 10.
14. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the multi-device cooperative processing method according to any one of claims 1 to 7 when executing the program.
15. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for collaborative processing of multiple devices according to any of claims 1 to 7.
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