CN112153137B - Multi-device linkage method and system - Google Patents

Abstract

The application discloses a multi-device linkage method and system, wherein the method comprises the following steps: when a preset event occurs in the Internet of things, the main equipment in the Internet of things triggers corresponding equipment in the Internet of things to collect and report current environmental characteristics according to a scene recommendation condition in a scene recommendation model corresponding to the event, which is locally stored; judging whether the scene recommendation condition is met currently or not according to the environmental characteristics; the scene recommendation model comprises a scene trigger event, a scene recommendation condition and a linkage operation instruction set of a scene; if yes, the main device triggers the user to select whether to execute a device linkage operation instruction in the scene recommendation model; when a user selects to execute the equipment linkage operation instruction, the main equipment triggers corresponding equipment in the Internet of things to execute the equipment linkage operation instruction according to the locally stored equipment capacity information of each piece of equipment in the Internet of things. By the method and the device, the real-time performance of multi-device linkage can be improved, and the user information safety risk is reduced.

Description

A multi-device linkage method and system

technical field

The present application relates to the technical field of the Internet of Things, and in particular to a multi-device linkage method and system.

Background technique

With the increasingly widespread application of Internet of Things technology, the Internet of Things cloud platform can realize the access, control and management of devices. By connecting the device to the IoT cloud platform, remote control and data collection of the device can be realized, as well as device linkage. Device linkage refers to triggering operations on one or more devices when the status of one or more devices meets certain conditions.

In the process of realizing the present invention, the inventor found that the existing equipment linkage scheme has problems such as poor real-time performance and high risk of user information security. The specific reasons are analyzed as follows:

In the existing device linkage scheme, the data and user information of smart devices are usually collected by the cloud platform uniformly, and according to the collected data information, a device linkage decision is made according to the preset scenario. Because this solution requires centralized control and decision-making by the cloud platform, when the number of devices managed by the cloud platform is large, the processing pressure on the cloud platform will be great. Correspondingly, the linkage processing delay will also be large, which affects the real-time linkage sex. Moreover, since the cloud platform needs to collect user information to complete linkage decisions, user privacy cannot be fully guaranteed.

Contents of the invention

In view of this, the main purpose of the present invention is to provide a multi-device linkage method and system, which can improve the real-time performance of multi-device linkage and reduce user information security risks.

In order to achieve the above object, the technical solution proposed by the embodiment of the present invention is as follows:.

A multi-device linkage method, comprising:

When a preset event occurs in the Internet of Things, the main device in the Internet of Things triggers the corresponding device in the Internet of Things to collect and report the current Environmental characteristics; according to the environmental characteristics, it is judged whether the scene recommendation condition is currently satisfied; the scene recommendation model includes scene trigger events, scene recommendation conditions and scene device linkage operation instructions;

If the scene recommendation condition is currently satisfied, the main device triggers the user to select whether to execute the device linkage operation instruction of the scene recommendation model;

When the user chooses to execute the device linkage operation instruction, the master device triggers the corresponding device in the Internet of Things to execute the device linkage operation instruction according to the device capability information of each device in the Internet of Things stored locally.

Preferably, the master device in the Internet of Things triggers the devices in the Internet of Things to collect and report corresponding environmental characteristics according to the scene recommendation conditions in the scene recommendation model corresponding to the event stored locally, including:

The master device notifies corresponding devices in the Internet of Things to perceive environment information according to the condition parameters in the scene recommendation conditions;

The corresponding device senses the current environment according to the notification, and converts the sensing result into an environment feature vector and sends it to the master device.

Preferably, the triggering corresponding devices in the Internet of Things to execute the device linkage operation instructions includes:

For each operation instruction in the device linkage operation instructions, the master device judges whether the device that executes the operation instruction can parse the operation instruction according to the device capability information stored locally, and if so, the operation instruction directly send to the corresponding instruction execution device for execution; otherwise, trigger the device capable of parsing the operation instruction to analyze the operation instruction, and send the analysis result to the corresponding instruction execution device for execution.

Preferably, the method further comprises:

Other devices in the IoT except the main device send their own device capability information to the main device in advance.

Preferably, the method further comprises:

Each device in the Internet of Things calculates the comprehensive device capability of the device according to its own device capabilities and preset corresponding capability weights;

All devices in the Internet of Things exchange their respective device comprehensive capabilities;

Each of the devices determines the master device in the Internet of Things according to the device comprehensive capability of each device in the Internet of Things.

Preferably, the determination of the master device in the Internet of Things includes:

Selecting the device corresponding to the maximum comprehensive capability of the device in the Internet of Things as the master device of the Internet of Things.

Preferably, the method further comprises:

Each of the devices pre-selects the device corresponding to the next largest value of the device comprehensive capability in the Internet of Things according to the device comprehensive capability of each device in the Internet of Things, as the sub-master device of the Internet of Things .

Preferably, the method further comprises:

When the master device initializes the linkage configuration information locally or when the linkage configuration information changes, it synchronizes the locally saved linkage configuration information to the secondary master device; the linkage configuration information includes: the scene recommendation mode and Device capability information of each device in the Internet of Things;

The sub-master device detects the state of the master device in real time, and when the master device is in an abnormal state, sets itself as the master device and notifies other devices in the Internet of Things, according to the current linkage configuration The information performs the function of the master device.

Preferably, the method further comprises:

Other devices in the Internet of Things other than the main device report their respective device capability information to the main device in advance.

Preferably, the method further comprises:

The scene recommendation model is pre-trained by a cloud server and sent to the main device.

Preferably, after the execution of the device linkage operation instruction is completed, the method further includes:

If the user chooses to execute the device linkage operation instruction, the main device feeds back the user's choice to execute the device linkage operation instruction when the event occurs to the cloud server;

If the user chooses not to execute the device linkage operation instruction, the master device feeds back the user's failure to execute the device linkage operation instruction and the corresponding subsequent operations of the user when the event occurs to the all cloud server;

The cloud server optimizes the device linkage operation instructions in the scene recommendation model corresponding to the event according to the feedback.

A multi-device linkage system, including cloud servers and devices in the Internet of Things, wherein:

The device is configured to, when acting as the master device, trigger the acquisition of corresponding devices in the Internet of Things according to the scene recommendation conditions in the scene recommendation model corresponding to the event stored locally when a preset event occurs in the Internet of Things And report the current environmental characteristics; according to the environmental characteristics, judge whether the current scene recommendation condition is satisfied; the scene recommendation model includes scene trigger events, scene recommendation conditions and scene device linkage operation instructions; if the current scene meets the recommended conditions, trigger the user to choose whether to execute the device linkage operation instruction of the scenario recommendation model; when the user chooses to execute the device linkage operation instruction, according to the device capability information of each device in the Internet of Things saved locally, A corresponding device in the Internet of Things executes the device linkage operation instruction.

Preferably, the device is specifically configured to, when acting as the master device, trigger devices in the Internet of Things to collect and report corresponding Environmental characteristics, including:

According to the condition parameter in the scene recommendation condition, notify the corresponding device in the Internet of Things to perceive the environment information, and receive the environment feature vector reported by the corresponding device, and the environment feature vector is determined by the corresponding device according to the notification Perceive the current environment and convert the perception results into vectors.

Preferably, the device is specifically configured to, when serving as the master device, trigger corresponding devices in the Internet of Things to execute the device linkage operation instruction, including:

For each operation instruction in the device linkage operation instruction, according to the device capability information stored locally, it is judged whether the device executing the operation instruction can parse the operation instruction, and if so, directly send the operation instruction to the corresponding Otherwise, trigger the device capable of parsing the operation instruction to analyze the operation instruction, and send the analysis result to the corresponding instruction execution device for execution.

Preferably, the device is further configured to send its own device capability information to the master device in the Internet of Things in advance when serving as a device other than the master device in the Internet of Things.

Preferably, the device is further used to calculate the device comprehensive capability of the device in advance according to each device capability it has and the corresponding preset capability weight; exchange respective device comprehensive capabilities with other devices in the Internet of Things Capability: determining the master device in the Internet of Things according to the comprehensive device capability of each device in the Internet of Things.

Preferably, the device is specifically used to determine the master device in the Internet of Things, comprising: selecting a device corresponding to the maximum comprehensive capability of the device in the Internet of Things as the master device in the Internet of Things.

Preferably, the device is further configured to pre-select the device corresponding to the next largest value of the device comprehensive capability in the Internet of Things according to the device comprehensive capability of each device in the Internet of Things, as the The sub-master device of the Internet of Things.

Preferably, the device is further configured to, when acting as the master device, synchronize the locally saved linkage configuration information to the The sub-master device; the linkage configuration information includes: the scenario recommendation mode and the device capability information of each device in the Internet of Things; when serving as the sub-master device, detect the state of the master device in real time, And when the master device is in an abnormal state, set itself as the master device and notify other devices in the Internet of Things, and execute the function of the master device according to the current linkage configuration information.

Preferably, the device is further configured to, when serving as other devices in the Internet of Things except the main device, report respective device capability information to the main device in advance.

Preferably, the scene recommendation model is pre-trained by a cloud server and sent to the main device.

Preferably, the device is further configured to, when serving as the master device, after the execution of the device linkage operation instruction is completed, if the user chooses to execute the device linkage operation instruction, the user will When the event occurs, choose to execute the device linkage operation instruction, and feed it back to the cloud server; if the user chooses not to execute the device linkage operation instruction, the user does not choose to execute the device linkage operation instruction when the event occurs The device linkage operation instruction and the corresponding follow-up operation of the user are fed back to the cloud server;

The cloud server is further configured to optimize the device linkage operation instructions in the scene recommendation model corresponding to the event according to the feedback.

It can be seen from the above technical solutions that the multi-device linkage method and system proposed in this application, when a preset event occurs in a scene, determines the The current equipment linkage operation and execution, in this way, by making the equipment linkage operation decision locally and controlling the execution of the operation by the master equipment, on the one hand, the real-time performance of multi-device linkage can be effectively improved; User information uploaded to the cloud platform, therefore, can effectively avoid user information security risks caused by information transmission and centralized storage to the cloud platform, thereby reducing user information security risks.

Description of drawings

FIG. 1 is a schematic flow chart of a multi-device linkage method according to an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of a multi-device linkage system according to an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

Fig. 1 is a schematic flow diagram of a method according to an embodiment of the present invention. As shown in Fig. 1 , the multi-device linkage method implemented in this embodiment mainly includes:

Step 101. When a preset event occurs in the Internet of Things, the main device in the Internet of Things triggers the corresponding device in the Internet of Things to collect and Reporting the current environment features; judging whether the scene recommendation conditions are currently met according to the environment features, the scene recommendation model including scene trigger events, scene recommendation conditions and scene device linkage operation instructions.

In this step, when a preset event occurs, the master device finds the scene recommendation model that matches the event based on the locally saved scene recommendation model, that is, finds out the scene recommendation model that uses the event as the scene trigger event, And according to the scene recommendation conditions in the scene recommendation model, trigger the corresponding equipment in the Internet of Things to collect the current environmental characteristics to determine whether the scene recommendation conditions of the scene recommendation model are currently met, so that when the current environment meets the scene recommendation conditions Execute the equipment linkage operation instructions in the scenario recommendation model in a timely manner. In this way, by making the device linkage operation decision locally and triggering the execution of the equipment linkage operation command by the master device in the Internet of Things, on the one hand, the real-time performance of multi-device linkage can be effectively improved, and the linkage delay can be reduced. On the other hand, due to Each device does not need to upload the collected user information to the cloud platform. Therefore, it can effectively avoid user information security risks caused by information transmission and centralized storage to the cloud server, thereby effectively ensuring user information security.

Preferably, in this step, the master device in the Internet of Things can use the following method to trigger the device in the Internet of Things to collect and report corresponding environment features:

The master device notifies the corresponding device in the Internet of Things to perceive the environment information according to the condition parameters in the scenario recommendation condition; the corresponding device senses the current environment according to the notification, and converts the perception result into After the environmental feature vector is sent to the master device.

In the above method, the specific method for each device to convert the perceived environment information into the environment feature vector is mastered by those skilled in the art, and will not be repeated here.

In practical applications, the perception capabilities of different devices are associated with the actual functions of the devices. Specific perceptual abilities may involve the following:

Auditory perception: Obtain the user's voice instructions through the microphone to complete semantic understanding.

Visual perception: Obtain image information through the camera to complete visual-related data processing.

Device awareness: Obtaining peripheral device information can be realized through BLE, Wi-Fi, UWB and other technologies, but is not limited to this.

Action perception: Obtain information about user actions, gestures, etc. through device sensors.

Location awareness: Obtain the indoor and outdoor location information of the device, which can be collected through GNSS, Wi-Fi, UWB, but not limited to this.

Preferably, in order to further improve the efficiency of multi-device linkage, the following method can be used to select a device with the strongest comprehensive capability from the Internet as the master device in the Internet of Things:

Step x1. Each device in the Internet of Things calculates its comprehensive device capability according to its own device capabilities and preset corresponding capability weights.

Preferably, the types of device capabilities may specifically include capabilities such as device service capabilities, computing capabilities, and device power supply modes.

Step x2, all devices in the Internet of Things exchange their comprehensive device capabilities with each other.

Step x3, each of the devices determines the master device in the Internet of Things according to the comprehensive device capability of each device in the Internet of Things.

Preferably, the step x3 may select the device with the largest device comprehensive capability as the master device, that is, select the device corresponding to the maximum value of the device comprehensive capability in the Internet of Things as the master device of the Internet of Things.

Preferably, in order to reduce the computing overhead of the main device, the scene recommendation model may be pre-trained by a cloud server and sent to the main device. The specific training method is mastered by those skilled in the art and will not be repeated here. Furthermore, the scene recommendation model may further include an abstract definition of a scene, so as to effectively distinguish different scenes based on the abstract definition.

Step 102: If the scene recommendation condition is currently satisfied, the main device triggers a device linkage operation instruction for the user to select whether to execute the scene recommendation model.

Here, when it is judged in step 101 that the scene recommendation condition of the scene corresponding to the event is currently satisfied, the user will be prompted in this step to choose whether to execute the corresponding device linkage operation command, so that when the user chooses to execute it, the execution will be triggered in time The device linkage operation instruction is used to respond to the event detected in step 101.

Step 103: When the user chooses to execute the device linkage operation instruction, the master device triggers the corresponding device in the Internet of Things to execute the device linkage according to the device capability information of each device in the Internet of Things stored locally Operating instructions.

Preferably, in order to minimize the linkage control delay, the following method can be used to trigger the corresponding equipment in the Internet of Things to execute the equipment linkage operation instruction:

For each operation instruction in the device linkage operation instructions, the master device judges whether the device that executes the operation instruction can parse the operation instruction according to the device capability information stored locally, and if so, the operation instruction directly send to the corresponding instruction execution device for execution; otherwise, trigger the device capable of parsing the operation instruction to analyze the operation instruction, and send the analysis result to the corresponding instruction execution device for execution.

In the above method, the master device knows whether each instruction execution device corresponding to the device linkage operation instruction has the corresponding instruction parsing capability according to the service capability in the device capability information of each device saved locally. When the device has no parsing capability, it will not The corresponding linkage operation instructions are sent to the device for execution, but the instructions are analyzed by a device with the ability to analyze and then sent to the corresponding execution device for execution, so as to ensure the smooth execution of the linkage operation instructions of each device and avoid failure of the execution device. The problem that the execution of the linked command fails due to the execution of the command.

Preferably, in order to facilitate the master device to accurately make a device linkage operation decision, other devices in the Internet of Things other than the master device may send their own device capability information to the master device in advance. When the master device receives the device capability information of each device, it may establish a mapping relationship between device capabilities and devices by generating a capability tree, so as to save the device capability information of all devices.

Preferably, in order to improve the robustness of the linkage control, a sub-master device can be selected from the Internet of Things, and when the master device operates abnormally, the sub-master device will assume the function of the master device to ensure the linkage control. To proceed normally, specifically, the following methods can be used to achieve this goal:

When the master device initializes the linkage configuration information locally or when the linkage configuration information changes, it synchronizes the locally saved linkage configuration information to the secondary master device; the linkage configuration information includes: the scene recommendation mode and Device capability information of each device in the Internet of Things;

The sub-master device detects the state of the master device in real time, and when the master device is in an abnormal state, sets itself as the master device and notifies other devices in the Internet of Things, according to the current linkage configuration The information performs the function of the master device.

Preferably, in order to improve the exception handling capability of the sub-master device, the following method can be used to select a sub-master device from the Internet of Things:

Each device in the Internet of Things selects the device corresponding to the next largest value of the device comprehensive capability in the Internet of Things according to the device comprehensive capability of each device in the network in advance, as the sub-master device of the Internet of Things.

Preferably, after the execution of the device linkage operation instruction is completed, the user's selection of whether to execute the current device linkage operation instruction and subsequent operations can be fed back to the cloud server, so that the cloud server can recommend scenes according to the actual operation of the user. The model is intelligently optimized to make the scenario recommendation model better match the actual needs of users. Specifically, the following methods can be used to achieve this goal:

If the user chooses to execute the device linkage operation instruction, the main device feeds back the user's choice to execute the device linkage operation instruction when the event occurs to the cloud server;

If the user chooses not to execute the device linkage operation instruction, the master device feeds back the user's failure to execute the device linkage operation instruction and the corresponding subsequent operations of the user when the event occurs to the all cloud server;

The cloud server optimizes the device linkage operation instructions in the scene recommendation model corresponding to the event according to the feedback.

The optimization here is to revise the device linkage operation instructions in the corresponding scenario recommendation model according to the user's actual operation. If the user chooses to execute the device linkage operation instructions in the scenario recommendation model, these device linkage operation instructions can be rewarded. In order to strengthen them, and if the user does not choose to execute the device linkage operation instructions in the scenario recommendation model, these device linkage operation instructions can be punished, and the operations actually selected by the user for this event can be recorded, and accumulated to a certain extent , revise the device linkage operation instruction in the scene recommendation model to the linkage operation currently selected by the user. Specifically, in practical applications, those skilled in the art can select an appropriate optimization strategy according to actual needs.

It can be seen from the above technical solution that the method embodiment of the present invention utilizes the computing power of the edge device, and the main device in the Internet of Things makes a device linkage operation decision locally and controls the execution of the operation, which can effectively improve the efficiency of multi-device linkage. Real-time, and can effectively reduce user information security risks. The specific implementation of the above-mentioned method embodiment will be further exemplified below through a specific application scenario.

1. Smart devices (mobile phones, TVs, smart speakers, tablets, refrigerators, air conditioners, watches, wireless earphones, etc.) are interconnected through local routers, and the networking process is completed through manual registration by users or automatic discovery and matching.

2. Smart devices exchange device capabilities with each other. According to the device capabilities and capability weights, the master device, sub-master device and slave device are elected. For example, the mobile phone is the master device, the speaker is the sub-master device, and the rest are slave devices.

3. The slave device sends the device capability to the master device, and the master device establishes a mapping relationship between the capability and the device in the form of a capability tree. The sub-master device is responsible for synchronizing the information of the master device, detecting the status of the master device in real time, and taking the responsibility of the master device when the master device is abnormal.

4. The main device synchronizes the scene recommendation model from the cloud server.

The scene recommendation model is defined and trained in the cloud server. The original model is composed of Trigger, Concept and Action. Trigger is the event that triggers the scene recommendation model. Concept can be understood as a prerequisite for the execution of Action. Action is an operation to be executed. State is The abstract expression of the environment and the converted feature information.

5. When a device in the system (which can be the master device, sub-master device or slave device) receives a Trigger event, such as a mobile phone receiving an incoming call, the incoming call can be regarded as a Trigger event.

6. The mobile phone can judge its location information (living room), whether the Bluetooth headset is connected (no), user action (ready to answer), location information, status of the Bluetooth headset, and the return value of the gravity sensor can all be used as Concept. When the condition is set, the mobile phone is triggered to obtain the status of other smart devices in the living room. The scanning operation is an Action.

7. For example, there are smart TVs and speakers in the living room. For example, the TV is turned on and is playing live programs; the smart speaker is turned on and broadcasting. TVs and speakers process their own information into feature vectors through their own environmental perception units through feature processing units, and then transmit them to mobile phones.

8. The mobile phone prompts the user whether to mute the TV and speakers according to the feature vectors sent back by the peripheral devices. This is a multi-device collaboration scenario recommended by the system.

9. The user selects, and the selection result is uploaded to the cloud server in combination with the environmental feature vector returned by the peripheral equipment to further optimize the model. If the user confirms, the result is positive; if the user cancels, the result is negative.

10. If the user confirms, a series of actions defined in advance in this scene, such as mute the TV and mute the speaker, these Actions search the device capability tree, such as the mobile phone has the IoT Control function, so the two actions of mute the TV and mute the speaker can be switched It is processed by the mobile phone; preferably, when the TV and speakers have the function of analyzing the Action, the Action can be distributed to them for processing by themselves.

11. The TV and speakers receive the Action distributed by the mobile phone, and execute the mute operation through the behavior execution unit

Corresponding to the above method embodiments, this application also proposes a multi-device linkage system, as shown in Figure 2, the system includes a cloud server and devices in the Internet of Things, wherein:

The device is configured to, when acting as the master device, trigger the acquisition of corresponding devices in the Internet of Things according to the scene recommendation conditions in the scene recommendation model corresponding to the event stored locally when a preset event occurs in the Internet of Things And report the current environmental characteristics; according to the environmental characteristics, judge whether the current scene recommendation condition is satisfied; the scene recommendation model includes scene trigger events, scene recommendation conditions and scene device linkage operation instructions; if the current scene meets the recommended conditions, trigger the user to choose whether to execute the device linkage operation instruction of the scenario recommendation model; when the user chooses to execute the device linkage operation instruction, according to the device capability information of each device in the Internet of Things saved locally, A corresponding device in the Internet of Things executes the device linkage operation instruction.

Preferably, the device is specifically configured to, when acting as the master device, trigger devices in the Internet of Things to collect and report corresponding Environmental characteristics, including:

According to the condition parameter in the scene recommendation condition, notify the corresponding device in the Internet of Things to perceive the environment information, and receive the environment feature vector reported by the corresponding device, and the environment feature vector is determined by the corresponding device according to the notification Perceive the current environment and convert the perception results into vectors.

Preferably, the device is specifically configured to, when serving as the master device, trigger corresponding devices in the Internet of Things to execute the device linkage operation instruction, including:

For each operation instruction in the device linkage operation instruction, according to the device capability information stored locally, it is judged whether the device executing the operation instruction can parse the operation instruction, and if so, directly send the operation instruction to the corresponding Otherwise, trigger the device capable of parsing the operation instruction to analyze the operation instruction, and send the analysis result to the corresponding instruction execution device for execution.

Preferably, the device is further configured to send its own device capability information to the master device in the Internet of Things in advance when serving as a device other than the master device in the Internet of Things.

Preferably, the device is further used to calculate the device comprehensive capability of the device in advance according to each device capability it has and the corresponding preset capability weight; exchange respective device comprehensive capabilities with other devices in the Internet of Things Capability: determining the master device in the Internet of Things according to the comprehensive device capability of each device in the Internet of Things.

Preferably, the device is specifically used to determine the master device in the Internet of Things, comprising: selecting a device corresponding to the maximum comprehensive capability of the device in the Internet of Things as the master device in the Internet of Things.

Preferably, the device is further configured to pre-select the device corresponding to the next largest value of the device comprehensive capability in the Internet of Things according to the device comprehensive capability of each device in the Internet of Things, as the The sub-master device of the Internet of Things.

Preferably, the device is further configured to, when acting as the master device, synchronize the locally saved linkage configuration information to the The sub-master device; the linkage configuration information includes: the scenario recommendation mode and the device capability information of each device in the Internet of Things; when serving as the sub-master device, detect the state of the master device in real time, And when the master device is in an abnormal state, set itself as the master device and notify other devices in the Internet of Things, and execute the function of the master device according to the current linkage configuration information.

Preferably, the device is further configured to, when serving as other devices in the Internet of Things except the main device, report respective device capability information to the main device in advance.

Preferably, the scene recommendation model is pre-trained by a cloud server and sent to the main device.

Preferably, the device is further configured to, when serving as the master device, after the execution of the device linkage operation instruction is completed, if the user chooses to execute the device linkage operation instruction, the user will When the event occurs, choose to execute the device linkage operation instruction, and feed it back to the cloud server; if the user chooses not to execute the device linkage operation instruction, the user does not choose to execute the device linkage operation instruction when the event occurs The device linkage operation instruction and the corresponding follow-up operation of the user are fed back to the cloud server;

The cloud server is further configured to optimize the device linkage operation instructions in the scene recommendation model corresponding to the event according to the feedback.

The above is only a preferred embodiment of the application, and is not intended to limit the application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the application should be included in the application. within the scope of protection.

Claims (10)

1. A multi-device linkage method, comprising:

when a preset event occurs in the Internet of things, the main equipment in the Internet of things triggers corresponding equipment in the Internet of things to collect and report the current environmental characteristics according to a scene recommendation condition in a scene recommendation model corresponding to the event which is locally stored; judging whether the scene recommendation condition is met currently or not according to the environmental characteristics; the scene recommendation model comprises a scene trigger event, a scene recommendation condition and a device linkage operation instruction of a scene;

if the scene recommendation condition is met currently, the main equipment triggers a user to select whether to execute an equipment linkage operation instruction of the scene recommendation model;

when a user selects to execute the equipment linkage operation instruction, the main equipment triggers corresponding equipment in the Internet of things to execute the equipment linkage operation instruction according to locally stored equipment capability information of each piece of equipment in the Internet of things;

the method for determining the master device comprises the following steps:

each device in the Internet of things calculates the comprehensive device capacity of the device according to each device capacity of the device and a preset corresponding capacity weight;

all the devices in the Internet of things exchange respective device comprehensive capabilities with each other;

and each device determines the main device in the Internet of things according to the comprehensive device capacity of each device in the Internet of things.

2. The method of claim 1, wherein the triggering, by the master device in the internet of things, the device in the internet of things to collect and report the corresponding environmental features according to the locally stored scene recommendation conditions in the scene recommendation model corresponding to the event comprises:

the main equipment informs corresponding equipment in the Internet of things of sensing environment information according to condition parameters in the scene recommendation conditions;

and the corresponding equipment senses the current environment according to the notification, converts a sensing result into an environment characteristic vector and then sends the environment characteristic vector to the main equipment.

3. The method of claim 1, wherein the triggering the respective device in the internet of things to execute the device linkage operation instruction comprises:

for each operation instruction in the equipment linkage operation instruction, the main equipment judges whether the equipment executing the operation instruction can analyze the operation instruction according to the locally stored equipment capacity information, and if so, the operation instruction is directly sent to corresponding instruction execution equipment for execution; otherwise, triggering equipment capable of analyzing the operation instruction to analyze the operation instruction, and sending an analysis result to corresponding instruction execution equipment to execute the operation instruction.

4. The method of claim 1, wherein the method further comprises:

and other devices except the main device in the Internet of things send own device capability information to the main device in advance.

5. The method of claim 1, wherein the determining the master device in the internet of things comprises:

and selecting the equipment corresponding to the maximum value of the comprehensive capacity of the equipment in the Internet of things as the main equipment of the Internet of things.

6. The method of claim 1, wherein the method further comprises:

and each device selects a device corresponding to the second largest value of the comprehensive capability of the device in the Internet of things as a secondary main device of the Internet of things in advance according to the comprehensive capability of the device of each device in the Internet of things.

7. The method of claim 6, wherein the method further comprises:

the main equipment synchronizes the linkage configuration information stored locally to the auxiliary main equipment when the linkage configuration information is initialized locally or changed; the linkage configuration information includes: the scene recommendation model and the equipment capability information of each equipment in the Internet of things;

and the auxiliary main equipment detects the state of the main equipment in real time, sets the auxiliary main equipment as the main equipment and informs other equipment in the Internet of things when the main equipment is in an abnormal state, and executes the function of the main equipment according to the current linkage configuration information.

8. The method of claim 1, wherein the method further comprises:

the scene recommendation model is trained in advance by a cloud server and is sent to the main device.

9. The method of claim 8, wherein after the device linkage operation instruction execution is complete, the method further comprises:

if the user selects to execute the equipment linkage operation instruction, the main equipment feeds the equipment linkage operation instruction selected to be executed by the user when the event occurs back to the cloud server;

if the user selects not to execute the equipment linkage operation instruction, the main equipment feeds the equipment linkage operation instruction which is not selected by the user to be executed when the event occurs and corresponding subsequent operation of the user back to the cloud server;

and the cloud server optimizes the equipment linkage operation instruction in the scene recommendation model corresponding to the event according to the feedback.

10. The utility model provides a multi-device linkage system, its characterized in that, includes the equipment in high in the clouds server and the thing networking, wherein:

the device is used for triggering the corresponding device in the Internet of things to collect and report the current environmental characteristics according to the scene recommendation conditions in the scene recommendation model corresponding to the locally stored events when the device is used as the main device and the preset events occur in the Internet of things; judging whether the scene recommendation condition is met currently or not according to the environmental characteristics; the scene recommendation model comprises a scene trigger event, a scene recommendation condition and a device linkage operation instruction of a scene; if the scene recommendation condition is met currently, triggering a user to select whether to execute an equipment linkage operation instruction of the scene recommendation model; when a user selects to execute the equipment linkage operation instruction, triggering corresponding equipment in the Internet of things to execute the equipment linkage operation instruction according to locally stored equipment capacity information of each equipment in the Internet of things; the method for determining the master device comprises the following steps: each device in the Internet of things calculates the comprehensive capability of the device according to the capability of each device and the preset corresponding capability weight; all the devices in the Internet of things exchange respective device comprehensive capabilities with each other; and each device determines the main device in the Internet of things according to the comprehensive device capacity of each device in the Internet of things.

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