CN111182083A

CN111182083A - Equipment control method and device and edge equipment

Info

Publication number: CN111182083A
Application number: CN202010086343.XA
Authority: CN
Inventors: 刘国旭
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2020-02-11
Filing date: 2020-02-11
Publication date: 2020-05-19
Anticipated expiration: 2040-02-11
Also published as: CN111182083B

Abstract

The disclosure provides a device control method, a device and edge devices, and relates to the technical field of internet. The method comprises the following steps: receiving an edge management instruction of a cloud server; performing data interface configuration on the current edge equipment according to the edge management instruction; in response to receiving a first service request sent by a cloud server, determining a device identifier of a target sharing device according to the first service request and the use state of the sharing device; sending a reservation instruction to the target sharing equipment, wherein the reservation instruction comprises a user identifier and reservation time, and the reservation instruction is used for indicating the target sharing equipment to provide service for a user corresponding to the user identifier at the reservation time; responding to the data to be processed uploaded by the target sharing equipment received in the reserved time, and performing data processing on the data to be processed; and sending the data processing result to the target sharing equipment. By the method, the data processing speed is improved, the delay is reduced, and the resources of the edge device are saved.

Description

Equipment control method and device and edge equipment

Technical Field

The present disclosure relates to the field of internet technologies, and in particular, to an apparatus control method, an apparatus, and an edge device.

Background

In order to save resources and improve user efficiency, shared resources have emerged. The shared resources include not only shared spaces such as shared meeting rooms and shared workstations, but also shared devices such as shared computers, wherein the shared devices may be individual devices, or devices in the shared spaces such as projectors in the shared meeting rooms. In order to prevent the shared devices from being in an open state when not being used, which causes unnecessary energy consumption, the use status of the shared devices needs to be monitored, so that the unused devices in the shared devices can be controlled in time.

In the related art, monitoring equipment is installed in an area where the shared equipment is located, the monitoring equipment collects monitoring data, monitors the use state of the shared equipment according to the monitoring data, and determines whether to close the shared equipment according to the use state of the shared equipment. In order to prevent the monitoring equipment from storing the collected monitoring data locally to cause the problems of easy loss, low safety, memory occupation and the like, the monitoring equipment uploads the collected monitoring data to the cloud server, the cloud server performs data processing on the monitoring data, and the cloud server controls the sharing equipment according to a data processing result.

In the related art, the response speed of the cloud server to the data is limited by network bandwidth, cloud resources and the like, and as the number of the shared devices is continuously increased, the number of the monitoring devices is also continuously increased, so that the increase speed of the data to be processed in the cloud server far exceeds the increase speed of the network bandwidth. Therefore, processing the monitoring data at the cloud server cannot meet the requirements of some low-latency applications.

Disclosure of Invention

The embodiment of the disclosure provides a device control method and device and edge devices, which can improve data processing speed and reduce delay. The technical scheme is as follows:

in one aspect, a device control method is provided, and the method includes:

receiving an edge management instruction of a cloud server, wherein the edge management instruction carries a device identifier of a sharing device which can be accessed by the current edge device, and the sharing device and the edge device are in the same local area network;

configuring a data interface for the current edge device according to the edge management instruction, wherein the data interface is used for performing data interaction with the sharing device;

in response to receiving a first service request sent by the cloud server, determining a device identifier of a target sharing device according to the first service request and the use state of the sharing device;

according to the device identification of the target sharing device, sending a reservation instruction to the target sharing device through a data interface corresponding to the target sharing device, wherein the reservation instruction comprises a terminal identification and a reservation time, and the reservation instruction is used for indicating the target sharing device to provide service for a terminal corresponding to the terminal identification at the reservation time;

in response to receiving the to-be-processed data uploaded by the target sharing device within the reserved time, performing data processing on the to-be-processed data through a target service engine corresponding to the to-be-processed data to obtain a data processing result, wherein the to-be-processed data is service data generated by the target sharing device for providing services for a terminal corresponding to the terminal identifier;

and sending the data processing result to the target sharing equipment.

In a possible implementation manner, the determining, according to the first service request and the usage state of the sharing device, a device identifier of a target sharing device includes:

determining the type of target equipment corresponding to the first service request according to the first service request;

acquiring the equipment category of the sharing equipment;

selecting target sharing equipment with the use state as unused and the equipment type as the target equipment type from the sharing equipment according to the equipment type and the use state of the sharing equipment;

and determining the equipment identification of the target sharing equipment from the equipment identifications of the sharing equipment.

In another possible implementation manner, the method further includes:

receiving monitoring data of the sharing equipment;

performing data analysis processing on the monitoring data of the sharing equipment to obtain a data processing result of the monitoring data;

determining the use state of the sharing equipment according to the data processing result;

and recording the use state of the sharing equipment.

In another possible implementation manner, after the recording the usage state of the sharing device, the method further includes:

and sending a closing instruction to the shared device with the unused use state, wherein the closing instruction is used for indicating the shared device with the unused use state to execute shutdown operation.

In another possible implementation manner, the performing data processing on the data to be processed by using the target service engine corresponding to the data to be processed to obtain a data processing result includes:

determining a target business engine corresponding to the data to be processed;

running the target business engine based on a core service layer, wherein the core service layer is a core service layer in an edge computing engine in the edge device;

and performing data processing on the data to be processed through the target business engine to obtain a data processing result.

In another possible implementation manner, the determining a target business engine corresponding to the to-be-processed data includes:

receiving a second service request sent by the cloud server, wherein the second service request carries a service identifier of a current service; determining the service identifier according to the first service request, determining a target service engine corresponding to the service identifier, wherein the server is used for receiving the service identifier sent by the terminal and generating a second service request according to the service identifier; alternatively, the first and second electrodes may be,

determining the data type of the data to be processed; and determining a target business engine corresponding to the data to be processed according to the data type of the data to be processed.

In another possible implementation manner, the running the target business engine based on the core service layer includes:

obtaining engine parameters of the target business engine from the cloud server;

starting an engine container corresponding to the target business engine in the core service layer, wherein the engine container comprises resources required by the running of the target business engine;

and calling the engine parameters through the engine container, and operating the target business engine based on the engine parameters.

In another possible implementation manner, the method further includes:

receiving a completion instruction of the target sharing device, wherein the completion instruction is used for indicating the target sharing device to complete a service corresponding to the first service request;

and sending the completion instruction to the server, wherein the cloud server is further used for receiving the completion instruction and releasing the service corresponding to the first service request according to the completion instruction.

In another aspect, there is provided an apparatus for controlling a device, the apparatus including:

a first receiving module, configured to receive an edge management instruction of a cloud server, where the edge management instruction carries a device identifier of a sharing device accessible to a current edge device, and the sharing device and the edge device are in the same local area network;

a configuration module, configured to perform data interface configuration on the current edge device according to the edge management instruction, where the data interface is used for performing data interaction with the sharing device;

the first determining module is used for responding to a first service request sent by the cloud server and determining the equipment identifier of the target sharing equipment according to the first service request and the using state of the sharing equipment;

a first sending module, configured to send, according to a device identifier of the target sharing device, a reservation instruction to the target sharing device through a data interface corresponding to the target sharing device, where the reservation instruction includes a terminal identifier and a reservation time, and the reservation instruction is used to instruct the target sharing device to provide a service for a terminal corresponding to the terminal identifier at the reservation time;

the first processing module is used for responding to the data to be processed uploaded by the target sharing equipment received in the reserved time, performing data processing on the data to be processed through a target service engine corresponding to the data to be processed to obtain a data processing result, wherein the data to be processed is service data generated by the target sharing equipment for providing services for a terminal corresponding to the terminal identifier;

and the second sending module is used for sending the data processing result to the target sharing equipment.

In a possible implementation manner, the determining module is further configured to determine, according to the first service request, a target device category corresponding to the first service request; acquiring the equipment category of the sharing equipment; selecting target sharing equipment with the use state as unused and the equipment type as the target equipment type from the sharing equipment according to the equipment type and the use state of the sharing equipment; and determining the equipment identification of the target sharing equipment from the equipment identifications of the sharing equipment.

In another possible implementation manner, the apparatus further includes:

the second receiving module is used for receiving the monitoring data of the sharing equipment;

the second processing module is used for carrying out data analysis processing on the monitoring data of the shared equipment to obtain a data processing result of the monitoring data;

the second determining module is used for determining the use state of the sharing equipment according to the data processing result;

and the recording module is used for recording the use state of the sharing equipment.

In another possible implementation manner, the apparatus further includes:

and a third sending module, configured to send a shutdown instruction to the shared device whose use state is unused, where the shutdown instruction is used to instruct the shared device whose use state is unused to execute shutdown operation.

In another possible implementation manner, the first processing module is further configured to determine a target service engine corresponding to the data to be processed; running the target business engine based on a core service layer, wherein the core service layer is a core service layer in an edge computing engine in the edge device; and performing data processing on the data to be processed through the target business engine to obtain a data processing result.

In another possible implementation manner, the first processing module is further configured to receive a second service request sent by the cloud server, where the second service request carries a service identifier of a current service; determining the service identifier according to the first service request, determining a target service engine corresponding to the service identifier, wherein the server is used for receiving the service identifier sent by the terminal and generating a second service request according to the service identifier; or, determining the data type of the data to be processed; and determining a target business engine corresponding to the data to be processed according to the data type of the data to be processed.

In another possible implementation manner, the first processing module is further configured to obtain an engine parameter of the target business engine from the cloud server; starting an engine container corresponding to the target business engine in the core service layer, wherein the engine container comprises resources required by the running of the target business engine; and calling the engine parameters through the engine container, and operating the target business engine based on the engine parameters.

In another possible implementation manner, the apparatus further includes:

a third receiving module, configured to receive a completion instruction of the target sharing device, where the completion instruction is used to instruct the target sharing device to complete a service corresponding to the first service request;

and the cloud server is further configured to receive the completion instruction, and release the service corresponding to the first service request according to the completion instruction.

In another aspect, an apparatus is provided, which includes a processor and a memory, where at least one program code is stored, and the at least one program code is loaded and executed by the processor to implement the apparatus control method according to the embodiment of the present disclosure.

In another aspect, a computer-readable storage medium is provided, in which at least one program code is stored, the at least one program code being loaded and executed by a processor to implement the apparatus control method according to the embodiments of the present disclosure.

The technical scheme provided by the embodiment of the disclosure has the following beneficial effects:

in the embodiment of the disclosure, an edge management instruction of a cloud server is received, where the edge management instruction is used to indicate a sharing device accessible to an edge device; in response to receiving a first service request sent by a cloud server, determining target sharing equipment according to the first service request and the use state of the sharing equipment; sending a reservation instruction to the target sharing equipment, wherein the reservation instruction comprises a terminal identifier and reservation time, and the reservation instruction is used for indicating the target sharing equipment to provide service for a terminal corresponding to the terminal identifier at the reservation time; the shared device to be reserved can be determined through the edge device, so that the target shared device does not need to be determined to the cloud server according to the first service request, the use pressure of the cloud server is relieved, and the bandwidth pressure of the cloud server is relieved because the plurality of shared devices do not need to send data to be processed to the cloud server. In addition, the edge device manages the shared devices in the same local area network, so that the data processing speed is increased, and the delay is reduced.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.

Fig. 1 is an implementation environment of a device control method provided according to an embodiment of the present disclosure;

FIG. 2 is a schematic diagram of a system involved in a method of controlling a device provided in accordance with an exemplary embodiment;

FIG. 3 is a block diagram of an edge compute engine provided in accordance with an exemplary embodiment;

FIG. 4 is a flow chart diagram of a method of controlling a device provided in accordance with an exemplary embodiment;

FIG. 5 is a flow chart diagram of a method of controlling a device provided in accordance with an exemplary embodiment;

FIG. 6 is a flow chart diagram of a method of controlling a device provided in accordance with an exemplary embodiment;

FIG. 7 is a block diagram of an appliance control device provided in accordance with an exemplary embodiment;

FIG. 8 is a schematic diagram of an edge device provided in accordance with an exemplary embodiment;

fig. 9 is a schematic diagram of a server according to an exemplary embodiment.

Detailed Description

To make the objects, technical solutions and advantages of the present disclosure more apparent, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

With the research and development of Artificial Intelligence technology, the Artificial Intelligence (AI) technology is being researched and applied in many fields, such as common smart homes, smart wearable devices, virtual assistants, smart speakers, smart marketing, unmanned driving, automatic driving, unmanned aerial vehicles, robots, smart medical services, smart customer service, etc. it is believed that with the development of technology, the AI technology will be applied in more fields and play more and more important value.

The artificial intelligence is a theory, a method, a technology and an application system which simulate, extend and expand human intelligence by using a digital computer or a machine controlled by the digital computer, sense the environment, acquire knowledge and obtain the best result by using the knowledge. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence. Artificial intelligence is the research of the design principle and the realization method of various intelligent machines, so that the machines have the functions of perception, reasoning and decision making.

The artificial intelligence technology is a comprehensive subject and relates to the field of extensive technology, namely the technology of a hardware level and the technology of a software level. The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.

The embodiment of the disclosure relates to a process of deducing processed data by artificial intelligence, wherein a model is trained by a cloud server, model parameters of a trained machine learning model are issued to edge equipment, the edge equipment calls a core service layer of an edge computing engine to load an intelligent deduction engine, and the machine learning model is loaded by the intelligent deduction engine, so that the processed data is deduced by using the machine learning model to obtain a data processing result.

A distributed cloud storage system (hereinafter, referred to as a storage system) refers to a storage system that integrates a large number of storage devices (storage devices are also referred to as storage nodes) of different types in a network through application software or application interfaces to cooperatively work by using functions such as cluster application, grid technology, and a distributed storage file system, and provides a data storage function and a service access function to the outside.

At present, a storage method of a storage system is as follows: logical volumes are created, and when created, each logical volume is allocated physical storage space, which may be the disk composition of a certain storage device or of several storage devices. The client stores data on a certain logical volume, that is, the data is stored on a file system, the file system divides the data into a plurality of parts, each part is an object, the object not only contains the data but also contains additional information such as data identification (ID, ID entry), the file system writes each object into a physical storage space of the logical volume, and the file system records storage location information of each object, so that when the client requests to access the data, the file system can allow the client to access the data according to the storage location information of each object.

The process of allocating physical storage space for the logical volume by the storage system specifically includes: physical storage space is divided in advance into stripes according to a group of capacity measures of objects stored in a logical volume (the measures often have a large margin with respect to the capacity of the actual objects to be stored) and Redundant Array of Independent Disks (RAID), and one logical volume can be understood as one stripe, thereby allocating physical storage space to the logical volume.

Fig. 1 is a schematic diagram illustrating an implementation environment involved in a device control method according to an exemplary embodiment of the present disclosure. Referring to fig. 1, the implementation environment includes a sharing device 101, an edge device 102, a cloud server 103, and a terminal 104. The sharing device 101 may access the edge device 102 through a network protocol, and perform data interaction with the edge device 102; the edge device 102 may also perform data interaction with the cloud server 103 through network connection; the cloud server 103 also performs data interaction with the terminal 104 through network connection.

The terminal 104 may be a mobile phone, a computer, a smart television, a wearable device, a tablet computer, or other electronic devices. A target application may be installed in the terminal 104, and a user may log in the cloud server 103 through the target application in the terminal, and reserve the sharing device 101 through the cloud server 103. The target application may also be a quick application, and correspondingly, the target application may also be an applet or a public interface loaded through a third party application. The terminal 104 may log in the cloud server 103 through a network link without installing the target application, and make a reservation for the sharing device 101.

Referring to fig. 2, the cloud server 103 may be a single server or a server cluster composed of a plurality of servers. The framework of the cloud server 103 may be a micro-service framework, such as a service grid framework or a Kubernetes (a micro-service framework, abbreviated as K8s) framework.

The Service Mesh (Service Mesh) framework is a dedicated infrastructure layer for handling inter-Service communications, responsible for reliably passing requests through a complex Service topology that contains modern cloud-native applications. The service grid architecture has the characteristics of an intermediate layer of communication between applications, a lightweight network agent, application imperceptibility, retry/timeout of decoupling applications, monitoring, tracking, service discovery and the like. The K8s framework is applicable to an open source system for automatically deploying, extending, and managing containerized applications. While K8s may be used to group multiple hosts into clusters to run Linux (an operating system) containers, K8s may simply and efficiently manage clusters, the hosts that make up the clusters may span public, private, and hybrid clouds.

Based on the above framework, the cloud server 103 can run various services, and these services can reasonably run cloud resources. For example, the cloud server 103 provides an edge management service for the edge device 102, provides a resource storage service, a data computation service, and the like for a third-party application, provides a machine learning model training service, an engine configuration service, and the like. The cloud server 103 may also issue these service results to the edge device 102.

With continued reference to fig. 2, the edge device 102 provides an edge compute engine. Where an edge refers to a computing and storage resource on the edge of the network. Where edge device 102 refers to a device as opposed to a device of a data center, the edge device 102 is both geographically close and physically closer to the user. Edge computing is a new computing paradigm, and deploys computing tasks to edge devices 102 close to data generation sources, and edge resources are used to provide a large number of resources or service interfaces for users, so that the amount of data uploaded to a cloud server 103 is reduced, and thus network bandwidth pressure is relieved. At the same time, the data is uploaded into the edge device 102, preventing data security and privacy issues caused by storing the data locally.

The edge device 102 may be a router, switch, gateway device, or the like. Included in the edge device 102 is a hardware platform that provides an instruction set. Such as ARM (Advanced RISC Machine), X86 (a central processor instruction set architecture), or the like. Among them, ARM is a family of simplified instruction set processor architectures, and is widely used in embedded system design. Due to its low cost, high performance and low power consumption, ARM is also widely used in the communication field or the field requiring super computing and consuming a large amount of power. The X86 architecture generally refers to a series of Instruction Set architectures used by intel corporation to develop processors, which are significantly variable Instruction length CISC (Complex Instruction Set Computer).

The operating system of the edge device 102 may be any operating system or derivative release version of any system. For example, the operating system may be a Ubuntu (a release version of a linux system) system or a CentOS (a release version of a linux system) system, or the like. Among them, Ubuntu is based on the Debian (a free operating system) release and GNOME (a tool for operating and setting a computer environment) desktop environment, and provides a latest and relatively stable operating system mainly constructed by free software for general users. CentOS combines many aspects including Debian, Red Hat Linux (a distributed version of the system), Fedora (a stable operating system), and FreeBSD (a UNIX-like operating system) to enable stable operation of a cluster of servers.

The edge device 102 is installed with an edge computing engine, which may be any edge computing engine, such as EdgeX foundation, Apache Edgent, etc. The EdgeX foundation is the most representative edge calculation engine issued by the Linux foundation. The EdgeX foundation is a standardized interoperability framework for industrial internet of things edge computing development, is deployed on edge devices 102 such as routers and switches, provides plug and play functions and management for various sensors, devices or other internet of things devices, and further collects and analyzes data of the sensors, the devices or other internet of things devices, or exports the data to an edge computing application or a cloud computing center for further processing. The structural diagram of the EdgeX foundation is shown in fig. 3. Referring to fig. 3, the EdgeX foundation includes: a device service layer, a core service layer, a support service layer, an export service layer, and system management and security services.

The device service layer mainly provides functions of device logging and is composed of a plurality of device services. The device may be a data acquisition device or a sharing device 101. Each device service is a microservice generated by a user written according to a service software development kit tool. The service software development kit tool may be SDK (Simple-development-Key) or the like. The EdgeX foundation acquires relevant information of the file definition device of the device, wherein the relevant information comprises information such as a data source format, a data format stored in the EdgeX foundation, and an operation command of the device. The device in the device service layer can convert the format of the data from the device and send the data after format conversion to the core service layer. In addition, the device service layer also provides multiple protocol access modes, for example, MQTT (Message queue telemetry Transport) protocol, ModBus serial communication protocol, BLE (bluetooth low energy technology, low power consumption) protocol, and the like. By providing multiple protocol access modes, unified management is provided for devices of different types and protocols, and the devices of different protocol types can be conveniently accessed to the edge device 102 for management.

The core service layer is composed of core data, commands, metadata, a registry, configuration and other micro-service components. The core data microservice stores and manages data from the devices, and the metadata microservice stores and manages metadata for the devices. The command micro-service converts the operation command defined in the device file into a general Application Programming Interface (API) and provides the API to the terminal to monitor and control the device. A registry and related information for configuring the microservice storage device service.

Other target business engines can be loaded through the core service layer, and the rules corresponding to the target business engines are realized through the target business engines. The target business engine may be: a function computation engine, a model inference engine, a streaming computation engine, etc.

The support service layer provides edge analysis and intelligent services. The edge device 102 receives some data to be processed, analyzes the data to be processed through the support service layer, and triggers a specified operation according to a condition instruction set by the implementation. For example, the data to be processed is temperature data, the condition is lower than 25 degrees, the triggered instruction is to turn off the air conditioner, and when the temperature is detected to be lower than 25 degrees, the turning off operation of the air conditioner is triggered.

The export service layer is used for transmitting data to the cloud computing center and comprises micro service components such as client registration and distribution. The former records the relevant information of the registered back-end system, and the latter exports the corresponding data from the core service layer to the designated client.

The sharing device 101 may include a data acquisition device and the sharing device 101. The data acquisition device is configured to acquire environment information of the sharing device 101, and monitor a use state of the sharing device 101 through the environment information. The data acquisition device may be a detection device, such as an infrared detector, a motion detection, a thermal imaging device, or a camera, among others. The sharing device 101 is configured to complete a corresponding service according to the reserved service request. The sharing device 101 may be an electronic office product, for example, the sharing device 101 may be an electronic screen, a projector, or the like. Other energy consuming devices, such as a socket, a lamp, etc., may also be included in the shared device 101. The data acquisition device or the sharing device 101 in the sharing device 101 is respectively accessed to the respective gateway through the respective wireless protocol, and is connected with the edge device 102 through the gateway, so as to complete operations such as data acquisition and instruction issuing. The devices may be accessed in any manner, such as wifi (Wireless broadband), zigbee (zigbee-like protocol, a Wireless communication technology), lora (Long Range, Long-distance modulation technology), etc.

Fig. 4 is a flowchart of a device control method according to an exemplary embodiment, and in the embodiment of the present disclosure, a process of determining a target sharing device by an edge device according to a received first service request is taken as an example for description. As shown in fig. 4, the method comprises the steps of:

step 401: and the cloud server sends an edge management instruction to the edge device.

The cloud server provides edge management for the edge devices. The edge management instruction carries a device identifier of a sharing device accessible to the current edge device, and the sharing device and the edge device are in the same local area network. The cloud server obtains the device identifier of the shared device in each local area network, and generates an edge management instruction according to the device identifier of the shared device.

It should be noted that each local area network includes at least one sharing device, the number of the sharing devices in each local area network may be the same or different, and in the embodiment of the present disclosure, the number of the sharing devices in each local area network is not specifically limited.

In a possible implementation manner, a terminal receives a device identifier of a shared device corresponding to the same edge device, which is set by a user, sends the device identifier of the shared device to a cloud server, and a cloud service receives the device identifier of the shared device. In the implementation mode, the cloud server receives the device identifier of the shared device sent by the terminal, and the terminal sets the shared device corresponding to each edge device, so that the accuracy of edge management of the cloud server on the edge devices is improved, the edge devices are prevented from managing unnecessary devices, and the resource of the edge devices is prevented from being wasted.

In another possible implementation manner, the cloud server obtains location information of the edge device and other devices, and takes the other devices in the target area of the edge device as shared devices corresponding to the edge device according to the location information of the edge device. In the implementation manner, the cloud server determines the shared device corresponding to the edge device according to the position information of the edge device and the other devices, so that the shared device can be connected with the edge device according to the minimum geographic distance, and the delay of the to-be-processed data of the shared device is reduced.

In another possible implementation manner, the cloud server performs edge management on the edge device according to the functions implemented by the edge device and other devices. And the cloud server takes the equipment corresponding to the same sharable resource as shared equipment of the same edge equipment and distributes the shared equipment to the same edge equipment. In the implementation mode, the cloud server performs edge management on the edge device according to the function implemented by the shared device, so that the same edge device can only process data to be processed of the shared device of the same type, other service engines do not need to be loaded, and resource utilization of the edge device is reduced.

It should be noted that, all the above-mentioned optional technical solutions may be combined arbitrarily to form an optional embodiment of the disclosure, and are not described in detail herein. For example, the edge device may manage the edge device according to the geographic location and the function that can be implemented by the other device, and determine the other device that implements the target function in the target area as the shared device.

Step 402: the edge device receives an edge management instruction of the cloud server.

In this step, the edge device performs configuration according to the received edge management instruction, and reads the device identifier of the shared device in the edge management instruction.

Step 403: and the edge device performs data interface configuration on the current edge device according to the edge management instruction.

The data interface is used for data interaction with the sharing equipment. And the edge device configures a data interface corresponding to the sharing device according to the device identifier of the sharing device in the edge management instruction, so that the edge device can perform data interaction with the sharing device according to the data interface.

Step 404: and responding to a first service request sent by the terminal received by the cloud server, and sending the first service request to the edge device by the cloud server.

When a user needs to reserve the sharing device, a first service request can be sent to the cloud server through the terminal. The first service request carries the reservation time information, the reservation position information, the service information and the like of the reservation service. Correspondingly, when receiving the first service request, the cloud server forwards the first service request to the edge device corresponding to the reserved position information according to the reserved position information in the first service request. For example, the shared device is a device in a shared conference room, the user may input the selected shared conference room through the terminal, and the terminal generates a first service request for applying for the shared conference room.

Step 405: in response to receiving a first service request sent by the cloud server, the edge device determines a device identifier of a target sharing device according to the first service request and the use state of the sharing device.

In this step, the edge device obtains the use state of the sharing device corresponding to the edge device, selects an unused sharing device from the sharing devices according to the use state of the sharing device and the first service request, and takes the sharing device as a target sharing device. Wherein, the use state of the sharing device comprises whether the sharing device is used currently, whether the sharing device is reserved in the reserved time, and the like.

The process that the edge device determines the target sharing device according to the first service request and the use state of the sharing device can be realized through the following steps (1) - (4), and includes:

(1) and the edge equipment determines the target equipment type corresponding to the first service request according to the first service request.

In this step, the edge device determines, according to the first service request, a service type corresponding to the first service request, and further determines a shared device type corresponding to the service type. For example, if the first service request is a shared workstation reservation request, the target device category determined by the edge device according to the first service request is a workstation category. For another example, continuing with the above example as an example, the first service request is a request for applying for sharing a conference room. The edge device determines the class of the target device as a conference device according to the first service request.

(2) The edge device obtains the device class of the sharing device.

The edge device determines the device attribute of the edge device according to the device representation of each sharing device in the current local area network, and determines the device type of the sharing device according to the device attribute.

(3) And the edge equipment selects the target sharing equipment with the unused use state and the equipment type as the target equipment type from the sharing equipment according to the equipment type and the use state of the sharing equipment.

And the edge device determines the shared devices which are not used in the reserved time according to the reserved time, and selects the shared device with the device type as the target device type from the shared devices which are not used in the reserved time. It should be noted that, the edge device may also select the shared device with the device class of the target device class first, and then select the shared device with the use state in the reserved time as the unused shared device from the shared devices with the device class of the target device class.

The process that the edge device determines the use state of the sharing device according to the monitoring data can be realized through the following steps (3-1) - (3-4), and comprises the following steps:

and (3-1) the edge device receives the monitoring data of the sharing device.

The data acquisition equipment acquires monitoring data in the current environment, uploads the monitoring data to the edge equipment, and the edge equipment receives the monitoring data of the sharing equipment uploaded by the data acquisition equipment. The local area network where the sharing device is located also comprises a data acquisition device, the data acquisition device is used for acquiring monitoring data of the sharing device and sending the monitoring data of the sharing device to the edge device, and the edge device determines the use state of the sharing device according to the monitoring data. The data acquisition device may be the sharing device itself, or may be other data acquisition devices other than the sharing device. For example, the data acquisition device may share the computer device in the conference room, and accordingly, the computer device reports the usage data of the computer device to the edge device; the data acquisition equipment can also be a camera in a shared meeting room, and correspondingly, the camera uploads a shot picture to the edge equipment.

And (3-2) the edge device performs data analysis processing on the monitoring data of the sharing device to obtain a data processing result of the monitoring data.

In this step, the edge device performs data analysis processing according to the received monitoring data of the sharing device. For example, if the monitoring data received by the edge device is video data acquired by a camera, the edge device performs target detection on the acquired picture, determines whether a target object exists in the acquired picture, and determines a data processing result of the monitoring data according to the detected target object. For example, continuing with the above description of the sharing device in the shared conference room, the monitoring data may be video data captured by a camera in the shared conference room, and accordingly, the edge device may perform person detection according to the video data.

And (3-3) the edge device determines the use state of the sharing device according to the data processing result.

In this step, the edge device determines the current use state of the sharing device according to the data processing result of the monitoring data. For example, if the data processing result is that the target detection result indicates that there is no target object in the captured image, the edge device determines that the current usage status of the sharing device is unused, and if no person is detected within the target duration, determines that the usage status of the sharing conference room is unused.

In addition, the use state includes a current use state of the sharing device and also includes a reservation state of the sharing device. Therefore, the edge device determines whether the sharing device has been reserved or not, and the reserved time or the like based on the reservation record, and determines the current usage state and the reservation state of the sharing device as the usage state of the sharing device.

And (3-4) the edge device records the use state of the sharing device.

The edge device stores the device identification of the sharing device and the use state association of the sharing device locally.

In the implementation manner, the edge device determines the use state of the sharing device according to the collected monitoring data of the sharing device, so that the edge device is prevented from influencing the use of the sharing device by a user within the reserved time by taking the sharing device which is being used or reserved in the sharing device as a target sharing device.

It should be noted that the edge device may perform steps (3-1) - (3-4) to determine the usage status of the sharing device when receiving the first service request. The edge device may also periodically perform steps (3-1) - (3-4), record the obtained usage state of the sharing device locally, and periodically update the usage state of the sharing device, and accordingly, in this step, the edge device may directly obtain the usage state of the sharing device from the recorded usage state of the sharing device.

In addition, the edge device may also control the shared device according to the use state of the shared device, and the process may be: and the edge device sends a first instruction to the sharing device according to the using state of the sharing device, wherein the first instruction is used for indicating the sharing device to execute target operation.

For example, when the edge device detects that the use state of the sharing device is not used, the edge device may send a first instruction to the sharing device, where the first instruction is used to instruct the sharing device to enter a standby state, and after receiving the sharing device, the sharing device enters the standby state according to the first instruction.

In the implementation manner, the edge device sends the first instruction to the shared device according to the use state of the shared device, so that the shared device is prevented from being still in an open state when not being used, and extra energy consumption is prevented.

(4) The edge device determines the device identification of the target sharing device from the device identifications of the sharing devices.

In this step, the edge device determines the device identifier of the target sharing device from the device identifiers of the sharing devices corresponding to the current local area network. For example, continuing with the above description of the shared conference room as an example, the edge device may take the shared conference room data in the current local area network as an example for description, and the edge device may determine, according to the usage state of the shared conference room in the local area network where the edge device is located, the shared conference room that is not currently used, identify the conference room of the shared conference room, and indicate a room number that may be a conference room, and the like.

In the implementation manner, the edge device selects the shared device with the use state in the reserved time as unused and the device class as the target shared device from the shared devices, so that the edge device is prevented from using the shared device which is in use or reserved in the shared devices as the target shared device, and the user is prevented from being influenced by using the shared device in the reserved time.

Step 406: and the edge equipment sends a reservation instruction to the target sharing equipment through a data interface corresponding to the target sharing equipment according to the equipment identification of the target sharing equipment.

The reservation instruction comprises a terminal identifier and a reservation time, and the reservation instruction is used for indicating the target sharing device to provide service for the terminal corresponding to the terminal identifier at the reservation time. The terminal identification is a terminal identification corresponding to a terminal sending a first service request, the first service request also carries reservation time and the terminal identification sending the first service request, the edge device generates a reservation instruction according to the reservation time and the terminal identification, the reservation instruction is sent to the target sharing device, the target sharing device carries out configuration according to the reservation instruction after receiving the reservation instruction, and after the configuration is completed, the target sharing device can provide sharing devices for the terminal corresponding to the terminal identification within the reservation time.

For example, continuing with the above description of the shared conference room as an example, when the edge device determines the conference room identifier of the shared conference room, the edge device transmits a conference room reservation command to the conference room according to the conference room identifier.

Fig. 5 is a flowchart of a device control method according to an exemplary embodiment, which is described in the embodiment of the present disclosure by taking an example that an edge device processes to-be-processed data uploaded by a target sharing device in a reserved time. As shown in fig. 5, the method comprises the steps of:

step 501: and the target sharing equipment provides service for the terminal corresponding to the terminal identification within the reserved time to obtain the data to be processed.

The target sharing equipment identifies the terminal identification of the terminal in the reserved time, provides service for the terminal corresponding to the terminal identification in the reserved time in response to the identified terminal identification being the same as the configured terminal identification, and determines the service data generated by the service as the data to be processed.

For example, the target sharing device is a camera in a shared conference room, the target sharing device may provide a shooting service for the terminal within a reserved time, and the data to be processed may be video data acquired by the camera.

Step 502: and the target sharing equipment uploads the acquired data to be processed to the edge equipment.

And when the target sharing equipment acquires the data to be processed, uploading the data to be processed to the edge equipment through the data interface corresponding to the edge equipment and the target sharing equipment.

Step 503: and in response to receiving the to-be-processed data uploaded by the target sharing device within the reserved time, the edge device performs data processing on the to-be-processed data through a target service engine corresponding to the to-be-processed data to obtain a data processing result.

The data to be processed is service data generated by the target sharing device for providing service for the terminal corresponding to the terminal identifier. When the edge device receives the data to be processed uploaded by the target sharing device, the edge device determines a target business engine corresponding to the data to be processed, and calls the target business engine to process the data to be processed, so as to obtain a processing result of the data to be processed. The process can be realized by the following steps (1) to (3), including:

(1) and the edge device determines a target business engine corresponding to the data to be processed.

An edge computing engine is installed in the edge device, and a core service layer in the edge computing engine can provide various computing capabilities for the edge device. For example, referring to fig. 6, a function computation engine, a model inference engine, a streaming computation engine, and the like may be loaded based on the core service layer. When the edge device determines that data processing is needed, the edge computing engine is started with the minimum configuration, a needed target business engine is dynamically loaded through a core service layer of the edge computing engine, the target business engine is closed in response to the completion of the data processing, and resources occupied by the target business engine are released, so that the resource occupation of the edge side is saved.

The target service engine can be uploaded to a cloud server by a user through a terminal, and is issued to the edge device by the cloud server; the target business engine can also be a target business engine corresponding to the edge device according to the data to be processed. Correspondingly, in a possible implementation manner, the edge device receives a second service request sent by the cloud server, where the second service request carries a service identifier of a current service; the edge device determines the service identifier according to the first service request, determines a target service engine corresponding to the service identifier, and the server is used for receiving the service identifier sent by the terminal and generating a second service request according to the service identifier.

The terminal determines a service identifier of a current service through input of a user, generates a second service request according to the service identifier, sends the second service request carrying the service identifier to the cloud server, and the cloud server forwards the received second service request to the edge device. The second service request and the first service request may be the same service request or different service requests. In the embodiments of the present disclosure, this is not particularly limited. And responding to the service request that the second service request is the same as the first service request, wherein the first service request also carries the identifier of the current service. In response to that the second service request and the first service request are different service requests, the cloud server may send the first service request to the edge device first and then send the second service request to the edge device, or the cloud server may send the second service request to the edge device first and then send the first service request to the edge device, or the cloud server may send the first service request and the second service request to the edge device at the same time, which is not specifically limited in the embodiment of the present disclosure.

In the implementation mode, the target service sent by the terminal is obtained, the service identifier of the target service is determined, and the service identifier is determined as the target service, so that the edge device can determine the target service engine according to the target service identifier, and the target service engine is loaded only in the edge device through the edge computing engine, thereby reducing the occupation of resources in the edge device while realizing the target service.

In another possible implementation manner, the edge device determines the data type of the data to be processed; and the edge device determines a target business engine corresponding to the data to be processed according to the data type of the data to be processed.

The method comprises the steps that when the edge device receives data to be processed, the data type of the data to be processed is determined, a target business engine which needs to be used when the data to be processed is analyzed and processed is determined according to the data type of the data to be processed, the target business engine is determined according to the target business engine, and therefore the edge device can determine a loaded target business engine according to the received data type, and the occupation of resources in the edge device is reduced while target business is achieved.

(2) The edge device runs the target business engine based on a core service layer, wherein the core service layer is a core service layer in an edge computing engine in the edge device.

And the edge equipment acquires the engine parameters of the target service engine according to the determined target service engine and starts the target service engine through an engine container in the core service layer. The process can be realized by the following steps (2-1) - (2-3), including:

and (2-1) the edge device acquires the engine parameters of the target business engine from the cloud server.

In a possible implementation manner, the engine parameter of the target engine may be, when the edge device determines the target service engine, send an engine identifier of the target service engine to the cloud server according to the determined target service engine, and correspondingly, the cloud server receives the engine identifier of the target service engine, determines the engine parameter of the target service engine according to the engine identifier, and sends the engine parameter to the edge device.

In another possible implementation manner, the edge management instruction further carries engine identifiers of multiple service engines, the edge device receives the edge management instruction sent by the cloud server, analyzes engine parameters of the multiple service engines from the edge management instruction, and stores the engine parameters of the multiple service engines and the engine identifiers in association in the edge device. And when the edge equipment determines the target business engine, acquiring engine parameters of the target business engine from the plurality of business engines according to the engine identification of the target business engine.

And (2-2) the edge device starts an engine container corresponding to the target business engine in the core service layer.

The engine container comprises the resources required by the target business engine to run. And loading the target business engine through the engine container.

(2-3) the edge device calls the engine parameter through the engine container, and runs the target business engine based on the engine parameter.

The edge device calls the engine parameter of the target business engine through the resource in the engine container, and operates the target business engine according to the engine parameter of the target business engine.

(3) And the edge device performs data processing on the data to be processed through the target service engine to obtain a data processing result.

In the implementation manner, the edge device determines the target service engine according to the service corresponding to the target sharing device, starts the target service engine to execute the corresponding service, prevents multiple engines from running in the edge device at the same time, and saves resources of the edge device.

Step 504: and the edge device sends the data processing result to the target sharing device.

After the edge device obtains the data processing result, a reservation completion instruction can be sent to the edge device to prompt that the current reservation service of the edge device is completed, and the process can be realized through the following steps (1) - (4), and comprises the following steps:

(1) and the target sharing device sends a reservation completion instruction to the edge device.

The completion instruction is used for indicating the target sharing device to complete the service corresponding to the first service request.

(2) The edge device receives a completion instruction of the target sharing device.

The edge device receives the completion instruction through a data interface corresponding to the target sharing device.

(3) The edge device sends the completion instruction to the server.

(4) And the cloud server receives the completion signal and releases the service corresponding to the first service request according to the completion signal.

In this implementation manner, by receiving a completion instruction of the target sharing device, the completion instruction is used to instruct the target sharing device to complete a service corresponding to the first service request; and sending the completion instruction to the server, wherein the cloud server is further used for receiving the completion instruction and releasing the service corresponding to the first service request according to the completion instruction, so that the cloud server can release the completed service in time.

In the embodiment of the present disclosure, a target service engine corresponding to the data to be processed performs data processing on the data to be processed to obtain a data processing result, where the data to be processed is service data generated by the target sharing device providing a service for a terminal corresponding to the terminal identifier; and sending the data processing result to the target sharing equipment, and only calling a service engine related to the target service when the edge equipment executes the target service, so that the resources of the edge equipment are saved.

FIG. 7 is a block diagram of a device control apparatus provided in accordance with an exemplary embodiment. Referring to fig. 7, the apparatus includes:

a first receiving module 701, configured to receive an edge management instruction of a cloud server, where the edge management instruction carries a device identifier of a sharing device accessible to a current edge device, and the sharing device and the edge device are in the same local area network;

a configuration module 702, configured to perform data interface configuration on the current edge device according to the edge management instruction, where the data interface is used for performing data interaction with the sharing device;

a first determining module 703, configured to determine, in response to receiving a first service request sent by the cloud server, a device identifier of a target sharing device according to the first service request and a use state of the sharing device;

a first sending module 704, configured to send, according to the device identifier of the target sharing device, a reservation instruction to the target sharing device through a data interface corresponding to the target sharing device, where the reservation instruction includes a terminal identifier and a reservation time, and the reservation instruction is used to instruct the target sharing device to provide a service for a terminal corresponding to the terminal identifier at the reservation time;

a first processing module 705, configured to, in response to receiving, within the reserved time, to-be-processed data uploaded by the target sharing device, perform data processing on the to-be-processed data through a target service engine corresponding to the to-be-processed data to obtain a data processing result, where the to-be-processed data is service data generated by the target sharing device for providing a service for a terminal corresponding to the terminal identifier;

a second sending module 706, configured to send the data processing result to the target sharing device.

In a possible implementation manner, the determining module is further configured to determine, according to the first service request, a target device category corresponding to the first service request; acquiring the equipment category of the sharing equipment; selecting target sharing equipment with the use state as unused and the equipment type as the target equipment type from the sharing equipment according to the equipment type and the use state of the sharing equipment; and determining the device identification of the target sharing device from the device identifications of the sharing devices.

In another possible implementation manner, the apparatus further includes:

and a third sending module, configured to send a shutdown instruction to the shared device that is not used in the use state, where the shutdown instruction is used to instruct the shared device that is not used in the use state to perform shutdown operation.

In another possible implementation manner, the first processing module 705 is further configured to determine a target service engine corresponding to the data to be processed; running the target business engine based on a core service layer, wherein the core service layer is a core service layer in an edge computing engine in the edge device; and performing data processing on the data to be processed through the target business engine to obtain a data processing result.

In another possible implementation manner, the first processing module 705 is further configured to receive a second service request sent by the cloud server, where the second service request carries a service identifier of a current service; determining the service identifier according to the first service request, determining a target service engine corresponding to the service identifier, wherein the server is used for receiving the service identifier sent by the terminal and generating a second service request according to the service identifier; or, determining the data type of the data to be processed; and determining a target business engine corresponding to the data to be processed according to the data type of the data to be processed.

In another possible implementation manner, the first processing module 705 is further configured to obtain an engine parameter of the target business engine from the cloud server; starting an engine container corresponding to the target business engine in the core service layer, wherein the engine container comprises resources required by the running of the target business engine; and calling the engine parameters through the engine container, and running the target business engine based on the engine parameters.

In another possible implementation manner, the apparatus further includes:

and the cloud server is further used for receiving the completing instruction and releasing the service corresponding to the first service request according to the completing instruction.

Performing data processing on the data to be processed through a target service engine corresponding to the data to be processed to obtain a data processing result, wherein the data to be processed is service data generated by providing a service for a terminal corresponding to the terminal identifier for the target sharing device; and sending the data processing result to the target sharing equipment, and only calling a service engine related to the target service when the edge equipment executes the target service, so that the resources of the edge equipment are saved.

It should be noted that: in the device control apparatus provided in the above embodiment, only the division of the above functional modules is used for illustration when the device is controlled, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the apparatus is divided into different functional modules to complete all or part of the above described functions. In addition, the device control apparatus and the device control method provided in the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments and are not described herein again.

Fig. 8 shows a block diagram of an edge device 800 according to an exemplary embodiment of the present disclosure. The edge device 800 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group audio Layer III, motion Picture Experts compression standard audio Layer 3), an MP4 player (Moving Picture Experts Group audio Layer IV, motion Picture Experts compression standard audio Layer 4), a notebook computer, or a desktop computer.

In general, the edge device 800 includes: a processor 801 and a memory 802.

The processor 801 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so forth. The processor 801 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 801 may also include a main processor and a coprocessor, where the main processor is a processor for processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 801 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, the processor 801 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.

Memory 802 may include one or more computer-readable storage media, which may be non-transitory. Memory 802 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 802 is used to store at least one instruction for execution by processor 801 to implement the device control method provided by method embodiments in the present disclosure.

In some embodiments, the edge device 800 may further optionally include: a peripheral interface 803 and at least one peripheral. The processor 801, memory 802 and peripheral interface 803 may be connected by bus or signal lines. Various peripheral devices may be connected to peripheral interface 803 by a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 804, a display screen 805, a camera assembly 806, an audio circuit 807, a positioning assembly 808, and a power supply 809.

The peripheral interface 803 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 801 and the memory 802. In some embodiments, the processor 801, memory 802, and peripheral interface 803 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 801, the memory 802, and the peripheral interface 803 may be implemented on separate chips or circuit boards, which are not limited by this embodiment.

The Radio Frequency circuit 804 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 804 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 804 converts an electrical signal into an electromagnetic signal to be transmitted, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 804 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuit 804 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the radio frequency circuit 804 may also include NFC (Near Field Communication) related circuits, which are not limited by this disclosure.

The display screen 805 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display 805 is a touch display, the display 805 also has the ability to capture touch signals on or above the surface of the display 805. The touch signal may be input to the processor 801 as a control signal for processing. At this point, the display 805 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 805 may be one, providing the front panel of the edge device 800; in other embodiments, the display screens 805 may be at least two, each disposed on a different surface of the edge device 800 or in a folded design; in still other embodiments, the display 805 may be a flexible display disposed on a curved surface or a folded surface of the edge device 800. Even further, the display 805 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The Display 805 can be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and other materials.

The camera assembly 806 is used to capture images or video. Optionally, camera assembly 806 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 806 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.

The audio circuit 807 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 801 for processing or inputting the electric signals to the radio frequency circuit 804 to realize voice communication. For stereo capture or noise reduction purposes, multiple microphones may be provided, one at each location of the edge device 800. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 801 or the radio frequency circuit 804 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, the audio circuitry 807 may also include a headphone jack.

The positioning component 808 is used to locate the current geographic location of the edge device 800 to implement navigation or LBS (location based Service). The positioning component 808 may be a positioning component based on the GPS (global positioning System) in the united states, the beidou System in china, the graves System in russia, or the galileo System in the european union.

A power supply 809 is used to power the various components in the edge device 800. The power supply 809 can be ac, dc, disposable or rechargeable. When the power source 809 comprises a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, the edge device 800 also includes one or more sensors 810. The one or more sensors 810 include, but are not limited to: acceleration sensor 811, gyro sensor 812, pressure sensor 813, fingerprint sensor 814, optical sensor 815 and proximity sensor 816.

The acceleration sensor 811 may detect the magnitude of acceleration in three coordinate axes of the coordinate system established with the edge device 800. For example, the acceleration sensor 811 may be used to detect the components of the gravitational acceleration in three coordinate axes. The processor 801 may control the display 805 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 811. The acceleration sensor 811 may also be used for acquisition of motion data of a game or a user.

The gyro sensor 812 may detect a body direction and a rotation angle of the edge device 800, and the gyro sensor 812 may cooperate with the acceleration sensor 811 to acquire a 3D motion of the user with respect to the edge device 800. From the data collected by the gyro sensor 812, the processor 801 may implement the following functions: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.

Pressure sensors 813 may be disposed on the side bezel of edge device 800 and/or underneath display screen 805. When the pressure sensor 813 is disposed on the side frame of the edge device 800, the holding signal of the user to the edge device 800 can be detected, and the processor 801 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 813. When the pressure sensor 813 is disposed at a lower layer of the display screen 805, the processor 801 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 805. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.

The fingerprint sensor 814 is used for collecting a fingerprint of the user, and the processor 801 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 814, or the fingerprint sensor 814 identifies the identity of the user according to the collected fingerprint. Upon identifying that the user's identity is a trusted identity, the processor 801 authorizes the user to perform relevant sensitive operations including unlocking a screen, viewing encrypted information, downloading software, paying for and changing settings, etc. The fingerprint sensor 814 may be disposed on the front, back, or side of the edge device 800. When a physical button or vendor Logo is provided on the edge device 800, the fingerprint sensor 814 may be integrated with the physical button or vendor Logo.

The optical sensor 815 is used to collect the ambient light intensity. In one embodiment, processor 801 may control the display brightness of display 805 based on the ambient light intensity collected by optical sensor 815. Specifically, when the ambient light intensity is high, the display brightness of the display screen 805 is increased; when the ambient light intensity is low, the display brightness of the display 805 is reduced. In another embodiment, the processor 801 may also dynamically adjust the shooting parameters of the camera assembly 806 based on the ambient light intensity collected by the optical sensor 815.

A proximity sensor 816, also known as a distance sensor, is typically provided on the front panel of the edge device 800. The proximity sensor 816 is used to capture the distance between the user and the front of the edge device 800. In one embodiment, the processor 801 controls the display 805 to switch from the bright screen state to the dark screen state when the proximity sensor 816 detects that the distance between the user and the front face of the edge device 800 is gradually decreased; when the proximity sensor 816 detects that the distance between the user and the front surface of the edge device 800 is gradually increased, the display screen 805 is controlled by the processor 801 to switch from the breath-screen state to the bright-screen state.

Those skilled in the art will appreciate that the configuration shown in FIG. 8 does not constitute a limitation of the edge device 800, and may include more or fewer components than shown, or combine certain components, or employ a different arrangement of components.

Fig. 9 is a schematic structural diagram of a server provided in an embodiment of the present disclosure, where the server 900 may generate a relatively large difference due to different configurations or performances, and may include a processor (CPU) 901 and a memory 902, where the memory 902 stores at least one program code, and the at least one program code is loaded and executed by the processor 901 to implement the device control method provided in each method embodiment. Of course, the server 900 may also have components such as a wired or wireless network interface, a keyboard, and an input/output interface, so as to perform input and output, and the server may also include other components for implementing the functions of the device, which is not described herein again.

In an exemplary embodiment, there is also provided a computer-readable storage medium in which at least one program code is stored, the at least one program code being loaded and executed by a device to implement the device control method in the above-described embodiments. The computer readable storage medium may be a memory. For example, the computer-readable storage medium may be a ROM (Read-Only Memory), a RAM (Random Access Memory), a CD-ROM (Compact Disc Read-Only Memory), a magnetic tape, a floppy disk, an optical data storage device, and the like.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above description is meant as an alternative embodiment of the disclosure and not as a limitation of the disclosure, and any modification, equivalent replacement, or improvement made within the spirit and principle of the disclosure should be included in the scope of protection of the disclosure.

Claims

1. An apparatus control method, characterized in that the method comprises:

and sending the data processing result to the target sharing equipment.

2. The method of claim 1, wherein the determining the device identifier of the target sharing device according to the first service request and the usage status of the sharing device comprises:

acquiring the equipment category of the sharing equipment;

3. The method of claim 2, further comprising:

receiving monitoring data of the sharing equipment;

and recording the use state of the sharing equipment.

4. The method of claim 3, wherein after recording the usage status of the shared device, the method further comprises:

5. The method according to claim 1, wherein the performing data processing on the data to be processed by using the target service engine corresponding to the data to be processed to obtain a data processing result includes:

determining a target business engine corresponding to the data to be processed;

6. The method of claim 5, wherein the determining the target business engine corresponding to the data to be processed comprises:

7. The method of claim 5, wherein running the target business engine based on a core service layer comprises:

8. The method according to any one of claims 1-7, further comprising:

9. An apparatus control device, characterized in that the device comprises:

10. An edge device, characterized in that the device comprises a processor and a memory, in which at least one program code is stored, which is loaded and executed by the processor to implement the device control method according to any of claims 1 to 8.