CN113671925A - Method for checking effectiveness of intelligent scene execution action - Google Patents

Method for checking effectiveness of intelligent scene execution action Download PDF

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Publication number
CN113671925A
CN113671925A CN202010406900.1A CN202010406900A CN113671925A CN 113671925 A CN113671925 A CN 113671925A CN 202010406900 A CN202010406900 A CN 202010406900A CN 113671925 A CN113671925 A CN 113671925A
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action
instruction
execution
type
intelligent
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CN202010406900.1A
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Chinese (zh)
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张岩
王运涛
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Qingdao Topscomm Communication Co Ltd
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Qingdao Topscomm Communication Co Ltd
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Priority to CN202010406900.1A priority Critical patent/CN113671925A/en
Publication of CN113671925A publication Critical patent/CN113671925A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring

Abstract

The invention discloses a method for checking the effectiveness of an intelligent scene execution action, and belongs to the field of intelligent home furnishing. The method comprises the following steps: receiving a first action currently set for an intelligent scene by a user; determining a type of the first action and a type of each execution action in the action set, wherein the types comprise a device execution instruction and other intelligent scenes which are created by a user before currently; judging whether the first action conflicts with the execution actions in the action set or not according to the type of the first action and the type of each execution action in the action set; when the first action does not conflict with the execution actions in the action set, which means that the first action can be executed effectively, the first action can be added to the action set of the intelligent scene. According to the embodiment of the invention, whether the first action is added into the action set of the intelligent scene is determined by judging whether the first action set for the intelligent scene by the user currently conflicts with the execution action set for the intelligent scene, so that the first action set by the user can not be executed effectively.

Description

Method for checking effectiveness of intelligent scene execution action
Technical Field
The invention relates to the field of intelligent home furnishing, in particular to a method for testing validity of an intelligent scene execution action.
Background
The intelligent scene defines one or more preset execution actions after the trigger condition is met, wherein the action type comprises an execution instruction of the intelligent device and other intelligent scenes. For example, a timed ventilation scenario includes two actions to perform: the intelligent air conditioner is set to be in an air supply mode and executes window opening scenes, the preset trigger condition is that the intelligent air conditioner executes preset actions and is set to be in the air supply mode and executes window opening scenes at a timing of 12:00 every day, namely 12:00 every noon.
In the implementation process of the invention, the inventor finds that the following problems exist in the prior art: when the execution action currently set for the intelligent scene by the user conflicts with the execution action already set for the intelligent scene, the execution action cannot be executed effectively, that is, the intelligent scene cannot be executed effectively.
Disclosure of Invention
The invention provides a method for checking the effectiveness of an execution action of an intelligent scene, which is used for solving the problem that the intelligent scene cannot be effectively executed due to the fact that the execution action set for the intelligent scene by a user conflicts with the execution action set for the intelligent scene in the prior art. The method comprises the following steps:
receiving a first action currently set for an intelligent scene by a user;
determining a type of the first action and a type of each execution action in the action set, wherein the action types comprise equipment execution instructions and other intelligent scenes which are created by a user before currently;
judging whether the first action conflicts with the execution actions in the action set or not according to the type of the first action and the type of each execution action in the action set;
when the first action does not conflict with the execution actions in the action set, which means that the first action can be executed effectively, the first action can be added to the action set of the intelligent scene.
Optionally, the determining the type of the first action includes:
acquiring attribute information contained in the first action, wherein the attribute information comprises an action type identifier;
and acquiring the type of the first action according to the action type identifier of the first action attribute information.
Optionally, the obtaining a first instruction set conflicting with the first action from a predefined instruction set includes:
the predefined instruction set comprises an instruction set of all device execution instructions conflicting with the device execution instructions;
and acquiring a conflict instruction set corresponding to the first action as the first instruction set according to the instruction identification information executed by the equipment of the first action.
Optionally, the sequentially acquiring, from a predefined instruction set, an instruction set that conflicts with the execution of an instruction by each device in the action set and integrating the instruction set into a first instruction set includes:
the predefined instruction set comprises an instruction set of all device execution instructions conflicting with the device execution instructions;
sequentially acquiring a conflict instruction set corresponding to the equipment execution instruction according to the identification information of each equipment execution instruction in the action set;
integrating the fetched instruction sets into the first instruction set.
Optionally, if the type of the execution action is determined to be a device execution instruction, adding the execution action to a second instruction set, including:
determining the type of the executed action as an equipment execution instruction according to the action type identifier of the executed action attribute information;
adding an execution action to the second set of instructions.
Optionally, if it is determined that the type of the executed action is another intelligent scenario created by the user before the current time, adding, to a second instruction set, an action set, which is obtained by acquiring the type set in the other intelligent scenario as a device execution instruction, to the second instruction set, where the action set includes:
determining the type of the executed action as other intelligent scenes which are created by the user before currently according to the action type identification of the executed action attribute information;
acquiring an action set of which the type is a device execution instruction set in the other intelligent scenes;
adding the set of actions to the second set of instructions.
Optionally, the determining whether the first instruction set includes any device execution instruction in the second instruction set includes:
sequentially acquiring attribute information contained in an execution instruction in the first instruction set, wherein the attribute information comprises an instruction identifier;
sequentially judging whether the instruction identification exists in the attribute information contained in the execution instruction in the second instruction set according to the instruction identification in the attribute information; if so, determining that the first action conflicts with an execution action in the action set of the intelligent scene; and if the first action does not exist, determining that the first action does not conflict with the execution action in the action set of the intelligent scene, and adding the first action into the action set of the intelligent scene.
Drawings
Fig. 1 is a flowchart of a method for checking validity of an intelligent scene execution action according to an embodiment of the present invention;
fig. 2A is a flowchart of another method for checking validity of an intelligent scene execution action according to an embodiment of the present invention;
fig. 2B is a schematic diagram of an intelligent scene setting interface according to an embodiment of the present invention;
fig. 2C is a schematic diagram of an interface for adding and executing an action in an intelligent scene according to an embodiment of the present invention;
fig. 2D is a schematic diagram of an interface for setting an instruction executed by an intelligent device in an intelligent scene according to an embodiment of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and examples to specifically illustrate the technical solutions of the present invention. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Before explaining the embodiments of the present invention in detail, an application scenario of the embodiments of the present invention will be described. The method provided by the embodiment of the invention is applied to the intelligent home system, a user can create an intelligent scene and set one or more execution actions for the intelligent scene, and when the intelligent scene is triggered, the intelligent home system can execute the intelligent equipment execution instruction preset in the intelligent scene. In the prior art, when a user creates an intelligent scene, multiple execution actions can be set for the intelligent scene, the terminal adds the multiple execution actions to the intelligent scene, and if the multiple execution actions cannot be simultaneously satisfied, the terminal does not prompt the user, so that the problem that part of the actions cannot be effectively executed exists in the intelligent scene created by the user, that is, the intelligent scene cannot be effectively executed.
Therefore, the embodiment of the present invention provides a method for checking validity of an execution action of an intelligent scene, and for convenience of description, an execution action currently set for the intelligent scene by a user is referred to as a first action. Receiving a first action currently set for an intelligent scene by a user; determining a type of the first action and a type of each execution action in the action set, wherein the action types comprise equipment execution instructions and other intelligent scenes which are created by a user before currently; judging whether the first action conflicts with the execution actions in the action set or not according to the type of the first action and the type of each execution action in the action set; when the first action does not conflict with the execution action in the action set, the first action is added to the action set of the intelligent scene. That is, whether the first action set for the intelligent scene by the user is added to the action set of the intelligent scene is determined by judging whether the first action set for the intelligent scene by the user currently conflicts with the execution action set for the intelligent scene, so that the first action set by the user is prevented from being executed effectively, that is, the intelligent scene created by the user is prevented from being executed effectively.
Fig. 1 is a flowchart of a method for checking validity of an intelligent scene execution action according to an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
step 101, receiving a first action currently set for an intelligent scene by a user;
step 102, determining the type of a first action and the type of each execution action in the action set;
103, judging whether the first action conflicts with the execution actions in the action set or not according to the type of the first action and the type of each execution action in the action set;
and step 104, when the first action does not conflict with the execution actions in the action set, the first action can be effectively executed, and the first action can be added into the action set of the intelligent scene.
Fig. 2A is a flowchart of another method for checking validity of an intelligent scenario executed action, where as shown in fig. 2A, the method includes the following steps:
step 201, receiving a first action currently set for an intelligent scene by a user.
The user can create an intelligent scene, one or more execution actions are set for the intelligent scene, and when the intelligent scene is triggered, the intelligent home system can execute an intelligent device execution instruction preset in the intelligent scene. For example, a timed ventilation scenario includes two actions to perform: the intelligent air conditioner is set to be in an air supply mode and executes window opening scenes, the preset trigger condition is that the intelligent air conditioner executes preset action and is set to be in the air supply mode and executes window opening scenes at a time of 12:00 every day, namely 12:00 every noon.
The detailed setting process of the intelligent scene execution action is as follows:
the terminal is provided with an application for creating an intelligent scene, the application is provided with a setting interface of the intelligent scene, and the intelligent scene interface comprises an option for setting an execution action. When a user sets an execution action for an intelligent scene, the user needs to select an action option corresponding to the action to be set from action options. When the terminal receives the action option selected by the user, the terminal acquires the action corresponding to the action option, and for convenience of explanation, the action is referred to as a first action. The terminal then sets the first action as the execution action of the smart scene by the following steps 202 to 207.
Fig. 2B is a schematic diagram of an intelligent scene setting interface according to an embodiment of the present invention, and as shown in fig. 2B, the setting interface of the intelligent scene includes four options, which are "setting scene name", "setting scene icon", "timing setting", and "setting execution action", respectively.
For example, in the intelligent scene setting interface shown in fig. 2B, the user sets the execution action of the "timed ventilation scene" using the intelligent scene setting interface, and the setting process is as follows:
as shown in fig. 2B, when the user clicks the add action button, the terminal displays an interface as shown in fig. 2C, and in the interface shown in fig. 2C, an action list is displayed, where the action list includes a plurality of action options, such as a smart air conditioner, a smart window pusher, a window opening scene, a window closing scene, and the like; when the user selects the action option "smart air conditioner" in the interface shown in fig. 2C, the terminal displays the interface shown in fig. 2D, and displays an instruction list in the interface shown in fig. 2D, where the instruction list includes a plurality of instruction options, such as switch, temperature, mode, wind speed, and the like; when the user sets the instruction option "temperature" to 25 ℃ in the interface shown in fig. 2C, the terminal receives the action option "smart air conditioner" selected by the user, obtains the execution instruction "temperature set to 25 ℃" of the action option, generates the corresponding action "smart air conditioner temperature set to 25 ℃, and takes the action as the first action, that is, the first action is" smart air conditioner temperature set to 25 ℃ ".
At step 202, the type of the first action is determined.
In the embodiment of the invention, the type of the execution action of the intelligent scene comprises the execution instruction of the equipment and other intelligent scenes which are created by the user before the current time.
The type is an action of the device executing the instruction, and represents the instruction to be specifically executed by the intelligent device. For example, the above-mentioned "smart air conditioner temperature is set to 25 ℃" is an action of executing a class of instructions by a device, which defines an operation of setting the temperature of the smart air conditioner to 25 ℃. Namely, when the intelligent scene is triggered, the temperature of the intelligent air conditioner is set to be 25 ℃.
The type is the action of other intelligent scenes which are created by the user before the current time, and represents other intelligent scenes which are created by the user before the current time and contain one or more execution actions. For example, the "closing window scene" is an action of another intelligent scene class that has been created by the user before, the other intelligent scene class includes an execution action "intelligent window pusher closes", the type of the action is a device execution instruction, and the defined operation is to set the intelligent window pusher to close, that is, to set the intelligent window pusher to close when the other intelligent scene is triggered. I.e., when it indicates a smart scene trigger, "close window scene" is performed, i.e., the smart window drawer is set to close.
Specifically, determining the type of the first action may be: and acquiring attribute information contained in the first action, wherein the attribute information comprises an action type identifier, and acquiring the type of the first action according to the action type identifier of the first action attribute information.
For example, assuming that the first action is "smart air conditioner temperature is set to 25 ℃", the attribute information of the action includes an action type identifier, which represents a device execution instruction type, so that it may be determined that the first action is a device execution instruction type.
For example, assuming that the first action is "close window scene", the attribute information of the action includes an action type identifier, which represents other intelligent scene types that the user has created before currently, so that the first action may be determined to be other intelligent scene types that the user has created before currently.
Step 203, acquiring a conflict instruction set corresponding to the first action according to the action type of the first action, and obtaining a first instruction set.
In the embodiment of the invention, in order to acquire the conflict instruction set corresponding to the first action, an instruction set containing all device execution instructions and device execution instructions in conflict is predefined. For convenience of explanation, the instruction set in which the conflict exists corresponding to the first action is referred to as a first instruction set.
Specifically, acquiring a conflicting instruction set corresponding to a first action according to an action type of the first action includes the following two steps:
(1) the type of the first action is determined by step 202.
(2) And (3) if the first action type determined in the step (1) is a device execution instruction, taking a conflict instruction set corresponding to the instruction from a predefined instruction set as a first instruction set according to the device execution instruction identification information of the first action. For example, the above "smart air conditioner temperature is set to 25 ℃", the action option of the action is "smart air conditioner", the instruction option is "temperature", and the instruction is "set to 25 ℃", an instruction set which conflicts with the instruction is obtained from a predefined instruction set, and includes two instructions of "smart air conditioner is set to air supply mode" and "smart air conditioner is set to dehumidification mode", that is, the obtained first instruction set includes two instructions of "smart air conditioner is set to air supply mode" and "smart air conditioner is set to dehumidification mode".
Optionally, if the first action type determined in step (1) is another intelligent scene created by the user before, then sequentially obtaining, according to the identification information of each device execution instruction in the action set of the other intelligent scene, an instruction set corresponding to the device execution instruction and having a conflict, and integrating the sequentially obtained instruction sets into the first instruction set. For example, the other intelligent scene only includes an execution action of "intelligent window pusher closes", the action option of the action is "intelligent window pusher", the instruction option is "switch", the instruction is "close", the instruction set obtained from the predefined instruction set and having a conflict with the instruction includes "intelligent window pusher opens", that is, the integrated first instruction set includes "intelligent window pusher closes".
And step 204, sequentially determining the type of each executed action in the action set which is currently and previously set for the intelligent scene.
In the embodiment of the invention, the type of each executed action in the action set which is currently set for the intelligent scene comprises the execution instruction of the equipment and other intelligent scenes which are currently created by the user.
Specifically, the execution actions in the action set which is set for the intelligent scene before are sequentially acquired, attribute information included in the execution actions is acquired, the attribute information includes action type identification, and the types of the execution actions are acquired according to the action type identification of the first action attribute information.
For example, assuming that the currently set smart scene is the "timed ventilation scene", the action set of the smart scene includes two execution actions, namely "smart air conditioner is set to an air supply mode" and "window opening scene is executed", attribute information of the two execution actions is sequentially acquired, and the type of the execution action is acquired according to the action type identifier of the execution action attribute information. The attribute information for executing the action 'intelligent air conditioner is set to be in an air supply mode' comprises an action type identifier representing the type of an execution instruction of the equipment, so that the action of executing the action 'intelligent air conditioner is set to be in the air supply mode' and can be determined to be in the type of the execution instruction of the equipment; the attribute information of the action "execute to open window scene" includes the action type identifier representing other smart scene types that the user has created before currently, so that the action "execute to open window scene" can be determined to be other smart scene types that the user has created before currently.
Step 205, obtaining a corresponding instruction set according to the action type of each executed action in the action set, and obtaining a second instruction set.
In the embodiment of the present invention, in order to determine whether a first action currently set for an intelligent scene by a user conflicts with an execution action already set for the intelligent scene, an instruction set corresponding to the execution action already set for the intelligent scene by the user needs to be acquired. For ease of explanation, the set of instructions is referred to as a second set of instructions.
Specifically, acquiring a corresponding instruction set according to the action type of each executed action in the action set includes the following two steps:
(1) the type of each performed action is determined separately, via step 204.
(2) And (3) if the execution action type determined in the step (1) is a device execution instruction, adding the execution action into a second instruction set. For example, the above-mentioned "smart air conditioner set air blowing mode", which is determined as the type of the device execution instruction in step 204, so "smart air conditioner set air blowing mode" is added to the second instruction set.
Optionally, if the type of the executed action determined in step (1) is another intelligent scenario that has been created by the user before currently, the action set that is set in the other intelligent scenario and of which the type is the device execution instruction is acquired, and the action set is added to the second instruction set. For example, the action is determined as another smart scene type that the user has created before currently through step 204, and an action set that is set in the another smart scene and is a device execution instruction is obtained, where the action set includes a device execution instruction "smart windower open", so "smart windower open" is added to the second instruction set.
Step 206, determine whether the first instruction set includes any device execution instruction in the second instruction set.
Specifically, attribute information included in an execution instruction in a first instruction set is sequentially acquired, wherein the attribute information includes an instruction identifier; and sequentially judging whether the instruction identifier exists in the attribute information contained in the execution instruction in the second instruction set according to the instruction identifier in the attribute information, if so, indicating that the first instruction set contains the equipment execution instruction in the second instruction set, and if not, indicating that the first instruction set does not contain the equipment execution instruction in the second instruction set.
Step 207, if the first instruction set does not contain any device execution instruction in the second instruction set, adding the first action to the action set of the intelligent scene.
Specifically, according to steps 201 to 205, a first action, a first instruction set and a second instruction set currently set for the intelligent scene by the user are obtained, and whether the first action is added to the action set of the intelligent scene is determined by the determination method of step 206. If any device execution instruction in the second instruction set is contained in the first instruction set, determining that the first action conflicts with the execution action in the action set of the intelligent scene; if any device execution instruction in the second instruction set is not contained in the first instruction set, the first action is determined not to conflict with the execution action in the action set of the intelligent scene, the first action can be effectively executed, and the first action can be added to the action set of the intelligent scene.
For example, assuming that the first action is "smart air conditioner temperature is set to 25 ℃", according to step 201, step 202 and step 203, a first instruction set is obtained, which includes two instructions "smart air conditioner is set to air supply mode" and "smart air conditioner is set to dehumidification mode"; assuming that the intelligent scene currently set by the user is the "timed ventilation scene", according to step 204 and step 205, acquiring a second instruction set comprising two instructions of "setting the intelligent air conditioner to be in an air supply mode" and "opening the intelligent window pusher"; through step 206, if it is determined that the "smart air conditioner set to air supply mode" instruction in the second instruction set is included in the first instruction set, it is determined that the first action conflicts with the execution action in the action set of the smart scene.
Optionally, assuming that the first action is "curtain opening", and the execution instruction of the action is "intelligent curtain motor opening", according to step 201, step 202, and step 203, acquiring a first instruction set including an instruction of "intelligent curtain motor closing"; assuming that the intelligent scene currently set by the user is the "timed ventilation scene", according to step 204 and step 205, acquiring a second instruction set comprising two instructions of "setting the intelligent air conditioner to be in an air supply mode" and "opening the intelligent window pusher"; through step 206, if it is determined that the first instruction set does not include any device execution instruction in the second instruction set, it is determined that the first action does not conflict with an execution action in the action set of the smart scene, which indicates that the first action can be executed effectively, and the first action can be added to the action set of the smart scene.
The above embodiments are illustrative of specific embodiments of the present invention, and are not restrictive of the present invention, and those skilled in the relevant art can make various changes and modifications without departing from the spirit and scope of the present invention to obtain corresponding equivalent technical solutions, and therefore all equivalent technical solutions should be included in the scope of the present invention.

Claims (7)

1. A method for checking the validity of an action executed by an intelligent scene is characterized by comprising the following steps:
receiving a first action currently set for an intelligent scene by a user;
determining the type of the first action, wherein the action type comprises a device execution instruction and other intelligent scenes which are created by a user before; if the type of the first action is a device execution instruction, acquiring an instruction set which conflicts with the first action from a predefined instruction set to serve as a first instruction set; if the type of the first action is other intelligent scenes created by the user before, acquiring an action set of which the type is a device execution instruction and set in the first action, and sequentially acquiring an instruction set which conflicts with each device execution instruction in the action set from a predefined instruction set and integrating the instruction set into a first instruction set;
sequentially determining the type of each executed action in an action set, wherein the action set is the executed action which is set for the intelligent scene before the current action; if the type of the execution action is a device execution instruction, adding the execution action to a second instruction set; if the type of the executed action is other intelligent scenes created by the user before currently, acquiring an action set which is set in the other intelligent scenes and takes the type as a device execution instruction, and adding the action set into a second instruction set;
judging whether the first instruction set comprises any equipment execution instruction in the second instruction set;
if any device execution instruction in the second instruction set is contained in the first instruction set, determining that the first action conflicts with an execution action in an action set of the intelligent scene; if any device execution instruction in the second instruction set is not contained in the first instruction set, it is determined that the first action does not conflict with the execution actions in the action set of the intelligent scene, that is, the first action can be executed effectively, and the first action can be added to the action set of the intelligent scene.
2. The method of claim 1, wherein the determining the type of the first action comprises:
acquiring attribute information contained in the first action, wherein the attribute information comprises an action type identifier;
and acquiring the type of the first action according to the action type identifier of the first action attribute information.
3. The method according to claim 1 or 2, wherein said retrieving a first set of instructions from a predefined set of instructions that conflict with said first action comprises:
the predefined instruction set comprises an instruction set of all device execution instructions conflicting with the device execution instructions;
and acquiring a conflict instruction set corresponding to the first action as the first instruction set according to the instruction identification information executed by the equipment of the first action.
4. The method according to claim 1 or 2, wherein the sequentially acquiring, from a predefined instruction set, an instruction set that conflicts with the execution of an instruction by each device in the action set is integrated into a first instruction set, and comprises:
the predefined instruction set comprises an instruction set of all device execution instructions conflicting with the device execution instructions;
sequentially acquiring a conflict instruction set corresponding to the equipment execution instruction according to the identification information of each equipment execution instruction in the action set;
integrating the fetched instruction sets into the first instruction set.
5. The method according to claim 1 or 2, wherein adding the execution action to the second instruction set if the type of the execution action is determined to be a device execution instruction comprises:
determining the type of the executed action as an equipment execution instruction according to the action type identifier of the executed action attribute information;
adding an execution action to the second set of instructions.
6. The method according to claim 1 or 2, wherein if the determined type of the executed action is other intelligent scenes created by the user before currently, the step of obtaining the action set of the type of the executed action set in the other intelligent scenes as the equipment execution instruction to add to the second instruction set comprises the steps of:
determining the type of the executed action as other intelligent scenes which are created by the user before currently according to the action type identification of the executed action attribute information;
acquiring an action set of which the type is a device execution instruction set in the other intelligent scenes;
adding the set of actions to the second set of instructions.
7. The method according to claims 1-6, wherein said determining whether any device in the second instruction set is included in the first instruction set comprises:
sequentially acquiring attribute information contained in an execution instruction in the first instruction set, wherein the attribute information comprises an instruction identifier;
sequentially judging whether the instruction identification exists in the attribute information contained in the execution instruction in the second instruction set according to the instruction identification in the attribute information; if so, determining that the first action conflicts with an execution action in the action set of the intelligent scene; if it is determined that the first action does not conflict with an execution action in the set of actions in the smart scene, i.e. the first action can be executed efficiently, the first action may be added to the set of actions in the smart scene.
CN202010406900.1A 2020-05-14 2020-05-14 Method for checking effectiveness of intelligent scene execution action Withdrawn CN113671925A (en)

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CN102760076A (en) * 2012-06-05 2012-10-31 华为技术有限公司 Policy conflict processing method for system and policy conflict processing system
CN104518890A (en) * 2014-12-30 2015-04-15 北京海尔广科数字技术有限公司 Network service processing method, information broadcasting and control method and device
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Application publication date: 20211119