Computing network integrated multi-dimensional data sensing method and sensing equipment thereof

Abstract

The invention discloses a computing network integrated multi-dimensional data sensing method and sensing equipment thereof. The method comprises the following steps: sending collected multi-dimensional data to a cloud data processing center; when the computing network receives a service request sent by a user from the data processing terminal, the cloud data processing center senses the residual computing power of the data processing edge network where the data processing terminal is located by decomposing and measuring multi-dimensional data; obtaining a sensing result that the residual computing power of the data processing edge network is sufficient to process the service request or a sensing result that the residual computing power of the data processing edge network is insufficient to process the service request; when the sensing result is that the residual computing power of the data processing edge network is sufficient to process the service request, the cloud data processing center authorizes the service request to the data processing edge network for processing; and when the sensing result is that the residual computing power of the data processing edge network is insufficient to process the service request, the cloud data processing center processes the service request. The method has the advantages of high service request processing speed and the like.

Description

Technical Field

[0001] The present application relates to the technical field of multidimensional data perception, and in particular to a computing-network integrated multidimensional data perception method and a perception device thereof. Background Art

[0002] The computing network can respond to service requests issued by users by scheduling all the computing power of the cloud data processing center, data processing edge network and data processing terminals, and provide users with overall computing power services including computing, storage and networking. In the existing relevant technical solutions, the computing power of the cloud data processing center, data processing edge network and data processing terminals in the computing network is basically uniformly scheduled by the cloud data processing center. When the network is poor or the data processing edge network is disconnected, it is difficult to respond to the user's service request in a timely manner. In addition, the computing power scheduling instructions of the cloud data processing center are also difficult to send to the data processing edge network, thereby reducing the work efficiency of the cloud data processing center. Summary of the Invention

[0003] This application provides a computing-network integrated multi-dimensional data perception method and perception device thereof, aiming to optimize existing related technical solutions.

[0004] In a first aspect, an embodiment of the present application provides a method for sensing multi-dimensional data in an integrated computing and network manner, which may include the following steps:

[0005] Collect multi-dimensional data from the data processing edge network and the data processing terminal in real time, and send the collected multi-dimensional data to the cloud data processing center;

[0006] When the computing network receives a service request sent by a user from the data processing terminal, the cloud data processing center perceives the remaining computing power of the data processing edge network where the data processing terminal is located by decomposing and measuring the multi-dimensional data, and obtains a perception result that the remaining computing power of the data processing edge network is sufficient to process the service request or a perception result that the remaining computing power of the data processing edge network is insufficient to process the service request;

[0007] When the perception result indicates that the remaining computing power of the data processing edge network is sufficient to process the service request, the cloud data processing center authorizes the service request to the data processing edge network for processing;

[0008] When the perception result is that the remaining computing power of the data processing edge network is insufficient to process the service request, the service request is processed by the cloud data processing center.

[0009] In the above technical solution, when the computing power of the data processing edge network is sufficient to process the service requests issued by users, the cloud data processing center effectively improves the processing speed of service requests by fully authorizing the data processing edge network to process the service requests, while also improving the work efficiency of the cloud data processing center.

[0010] In a preferred example, the solution of the first aspect of the present application can be further configured as follows:

[0011] In the step where, when the computing network receives a service request sent by a user from the data processing terminal, the cloud data processing center perceives the remaining computing power of the data processing edge network where the data processing terminal is located by decomposing and measuring the multidimensional data, and obtains a perception result that the remaining computing power of the data processing edge network is sufficient to process the service request or a perception result that the remaining computing power of the data processing edge network is insufficient to process the service request, the method for obtaining the perception result that the remaining computing power of the data processing edge network is sufficient to process the service request includes the following expression:

[0012]

[0013] Among them, G i S represents the remaining computing power of the ith data processing edge network in the computing network perceived by the cloud data processing center, i The total computing power of the i-th data processing edge network in the computing network, Q n Indicates the computing power required for the nth service request, n is a positive integer, 1≤n≤N, γ n Indicates the difficulty coefficient of completing the nth service request.

[0014] In the above technical solution, when the above expression is satisfied, it means that the remaining computing power of the data processing edge network is sufficient to process the service request; when the above expression is not satisfied, it means that the perception result is that the computing power of the data processing edge network is insufficient to process the service request.

[0015] In a preferred example, the solution of the first aspect of the present application can be further configured as follows:

[0016] The aforementioned computing-network integrated multi-dimensional data perception method may further include the following steps:

[0017] When the data processing edge network fails to connect to the data processing center for more than a preset time, the data processing edge network automatically processes the service request with full authority and marks the service request processed with full authority as a service request with abnormal connection to the data processing center.

[0018] In the above technical solution, when the network is not stable enough or the data processing edge network is disconnected, the data processing edge network will urgently and fully handle the service request issued by the user, trying to make the processing of the service request not affected by the network status, thereby further improving the processing speed of the service request.

[0019] In a preferred example, the solution of the first aspect of the present application can be further configured as follows:

[0020] The step of automatically and fully processing the service request by the data processing edge network when the data processing edge network fails to connect to the data processing center for more than a preset time, and marking the fully processed service request as a service request with abnormal connection to the data processing center, comprises the following steps:

[0021] When the data processing edge network fails to connect to the data processing center for a predetermined period of time, the data processing edge network senses, by direct measurement, whether the remaining computing power of the data processing edge network is sufficient to process the service request;

[0022] When the remaining computing power of the data processing edge network is sufficient to process the service request, the data processing edge network directly and fully processes the service request; otherwise, the data processing edge network schedules the idle computing power of the data processing terminal connected to the data processing edge network to cooperate with the data processing edge network to process the service request.

[0023] In a preferred example, the solution of the first aspect of the present application can be further configured as follows:

[0024] The aforementioned computing-network integrated multi-dimensional data perception method may further include the following steps:

[0025] When the computing power of the data processing terminal becomes idle, the data processing terminal broadcasts information of the idle computing power in the computing network;

[0026] When the computing power of a data processing terminal in the computing network is insufficient to support the normal operation of the data processing terminal, the data processing terminal with insufficient computing power to support the normal operation sends a computing power sharing request to the data processing terminal with idle computing power in the computing network, and the data processing terminal with idle computing power shares the idle computing power with the data processing terminal that issued the computing power sharing request;

[0027] The information on computing power sharing is sent to the cloud data processing center through the data processing edge network.

[0028] In the above technical solution, the data processing terminal with idle computing power broadcasts the information of idle computing power in the computing network, so that the data processing terminal that needs to share computing power can quickly find the required idle computing power, thereby improving the utilization efficiency of idle computing power.

[0029] In a preferred example, the solution of the first aspect of the present application can be further configured as follows:

[0030] The aforementioned computing-network integrated multi-dimensional data perception method may further include the following steps:

[0031] The cloud data processing center collects in real time all idle computing power of the data processing edge network connected to the cloud data processing center in the computing network. The idle computing power collected in real time is used to centrally process service requests that are insufficient to be processed by the remaining computing power of the data processing edge network.

[0032] In the above technical solution, the cloud data processing center centrally collects idle computing power to centrally process service requests that are insufficient to be processed by the remaining computing power of the data processing edge network, thereby realizing flexible scheduling of computing power.

[0033] In a second aspect, an embodiment of the present application provides a computing-network integrated multi-dimensional data perception device, which may include:

[0034] A collection and transmission module is used to collect multidimensional data from the data processing edge network and the data processing terminal in real time, and send the collected multidimensional data to the cloud data processing center;

[0035] A computing power perception module is configured to, when the computing network receives a service request sent by a user from the data processing terminal, cause the cloud data processing center to perceive the remaining computing power of the data processing edge network where the data processing terminal is located by decomposing and measuring the multi-dimensional data, and to obtain a perception result that the remaining computing power of the data processing edge network is sufficient to process the service request or a perception result that the remaining computing power of the data processing edge network is insufficient to process the service request;

[0036] an authorization module, configured to, when the perception result indicates that the remaining computing power of the data processing edge network is sufficient to process the service request, authorize the cloud data processing center to authorize the service request to be processed by the data processing edge network;

[0037] The cloud data processing center processing module is used to process the service request by the cloud data processing center when the perception result is that the remaining computing power of the data processing edge network is insufficient to process the service request.

[0038] In a preferred example, the solution of the second aspect of the present application can be further configured as follows:

[0039] The computing-network integrated multi-dimensional data sensing device may further include:

[0040] The data processing edge network automatic full-authority processing module is used to automatically and fully process the service request when the data processing edge network fails to connect to the data processing center for more than a preset time, and mark the fully processed service request as an abnormal service request for connecting to the data processing center.

[0041] In a preferred example, the solution of the second aspect of the present application can be further configured as follows:

[0042] The computing-network integrated multi-dimensional data sensing device may further include:

[0043] an idle computing power information broadcasting module, configured to broadcast information about the idle computing power in the computing network when the computing power of the data processing terminal becomes idle;

[0044] An idle computing power sharing module is configured to, when the computing power of a data processing terminal in the computing network is insufficient to support the normal operation of the data processing terminal, cause the data processing terminal with insufficient computing power to issue a computing power sharing request to the data processing terminal with idle computing power in the computing network, and the data processing terminal with idle computing power shares the idle computing power with the data processing terminal that issued the computing power sharing request;

[0045] The computing power sharing information sending module is used to send the computing power sharing information to the cloud data processing center through the data processing edge network.

[0046] In a preferred example, the solution of the second aspect of the present application can be further configured as follows:

[0047] The computing-network integrated multi-dimensional data sensing device may further include:

[0048] The computing power collection module is used by the cloud data processing center to collect in real time all idle computing power of the data processing edge network connected to the cloud data processing center in the computing network. The idle computing power collected in real time is used to centrally process service requests that are not handled by the remaining computing power of the data processing edge network.

[0049] Based on the above method embodiment, the present application provides a corresponding terminal embodiment;

[0050] The present application provides a terminal, including a processor, a memory, and a computer program stored in the above memory and configured to be executed by the above processor. When the above processor executes the above computer program, it implements a computing-network integrated multi-dimensional data perception method described in any embodiment of the present application.

[0051] Based on the above method embodiment, the present application provides a storage medium embodiment;

[0052] The present application provides a storage medium, including a processor, a memory, and a computer program stored in the above memory and configured to be executed by the above processor. When the above processor executes the above computer program, it implements a computing-network integrated multi-dimensional data perception method described in any embodiment of the present application.

[0053] This application has at least the following beneficial effects:

[0054] The present application provides an integrated multi-dimensional data perception method for computing networks. By utilizing the remaining computing power of the data processing edge network to coordinate with the cloud data processing center to process service requests, the flexible scheduling of computing power in the computing network is achieved. This method can not only effectively improve the processing speed of service requests issued by users, but also improve the work efficiency of the cloud data processing center, thereby greatly improving the utilization rate of all computing power in the computing network. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a flow chart of a computing-network integrated multi-dimensional data perception method according to an embodiment of the present application.

[0056] Figure 2 This is a structural block diagram of a computing-network integrated multi-dimensional data perception device according to an embodiment of the present application. DETAILED DESCRIPTION

[0057] The following will be combined with the accompanying drawings to clearly and completely describe the technical solutions in this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0058] like Figure 1 As shown, an embodiment of the present application provides a method for sensing multi-dimensional data in an integrated computing and network manner, which may specifically include the following steps:

[0059] Step S1: collecting multidimensional data from the data processing edge network and the data processing terminal in real time, and sending the collected multidimensional data to the cloud data processing center;

[0060] Step S2: When the computing network receives a service request sent by a user from the data processing terminal, the cloud data processing center perceives the remaining computing power of the data processing edge network where the data processing terminal is located by decomposing and measuring the multi-dimensional data, and obtains a perception result that the remaining computing power of the data processing edge network is sufficient to process the service request or a perception result that the remaining computing power of the data processing edge network is insufficient to process the service request;

[0061] Step S3: When the perception result indicates that the remaining computing power of the data processing edge network is sufficient to process the service request, the cloud data processing center authorizes the service request to the data processing edge network for processing;

[0062] Step S4: When the perception result is that the remaining computing power of the data processing edge network is insufficient to process the service request, the service request is processed by the cloud data processing center.

[0063] In a preferred embodiment, in order to efficiently obtain a perception result of whether the remaining computing power of the data processing edge network is sufficient to process the service request, when the computing network receives a service request sent by a user from the data processing terminal, the cloud data processing center decomposes and measures the multidimensional data, perceives the remaining computing power of the data processing edge network where the data processing terminal is located, and obtains a perception result that the remaining computing power of the data processing edge network is sufficient to process the service request or the remaining computing power of the data processing edge network is insufficient to process the service request. The method for obtaining the perception result that the remaining computing power of the data processing edge network is sufficient to process the service request includes the following expression:

[0064]

[0065] Among them, G i S represents the remaining computing power of the ith data processing edge network in the computing network perceived by the cloud data processing center, i The total computing power of the i-th data processing edge network in the computing network, Q n Indicates the computing power required for the nth service request, n is a positive integer, 1≤n≤N, γ n Indicates the difficulty coefficient of completing the nth service request.

[0066] In a preferred embodiment, in order to minimize the impact of network status on the processing of service requests and further improve the processing speed of service requests, the method for multi-dimensional data perception integrating computing and network may further include the following steps:

[0067] When the data processing edge network fails to connect to the data processing center for more than a preset time, the data processing edge network automatically processes the service request with full authority and marks the service request processed with full authority as a service request with abnormal connection to the data processing center.

[0068] In a preferred embodiment, when the data processing edge network fails to connect to the data processing center for a predetermined period of time, the data processing edge network automatically and fully processes the service request and marks the fully processed service request as a service request with abnormal connection to the data processing center, including the following steps:

[0069] When the data processing edge network fails to connect to the data processing center for a predetermined period of time, the data processing edge network senses, by direct measurement, whether the remaining computing power of the data processing edge network is sufficient to process the service request;

[0070] When the remaining computing power of the data processing edge network is sufficient to process the service request, the data processing edge network directly and fully processes the service request; otherwise, the data processing edge network schedules the idle computing power of the data processing terminal connected to the data processing edge network to cooperate with the data processing edge network to process the service request.

[0071] In a preferred embodiment, in order to enable data processing terminals that need to share computing power to quickly find the required idle computing power and improve the efficiency of using the idle computing power, the method for multi-dimensional data perception integrating computing and network may further include the following steps:

[0072] When the computing power of the data processing terminal becomes idle, the data processing terminal broadcasts information of the idle computing power in the computing network;

[0073] When the computing power of a data processing terminal in the computing network is insufficient to support the normal operation of the data processing terminal, the data processing terminal with insufficient computing power to support the normal operation sends a computing power sharing request to the data processing terminal with idle computing power in the computing network, and the data processing terminal with idle computing power shares the idle computing power with the data processing terminal that issued the computing power sharing request;

[0074] The information on computing power sharing is sent to the cloud data processing center through the data processing edge network.

[0075] In a preferred embodiment, in order to achieve flexible scheduling of computing power, the computing-network integrated multi-dimensional data perception method may further include the following steps:

[0076] The cloud data processing center collects in real time all idle computing power of the data processing edge network connected to the cloud data processing center in the computing network. The idle computing power collected in real time is used to centrally process service requests that are insufficient to be processed by the remaining computing power of the data processing edge network.

[0077] like Figure 2 As shown, an embodiment of the present application provides a computing-network integrated multi-dimensional data perception device, which may specifically include:

[0078] A collection and transmission module is used to collect multidimensional data from the data processing edge network and the data processing terminal in real time, and send the collected multidimensional data to the cloud data processing center;

[0079] A computing power perception module is configured to, when the computing network receives a service request sent by a user from the data processing terminal, cause the cloud data processing center to perceive the remaining computing power of the data processing edge network where the data processing terminal is located by decomposing and measuring the multi-dimensional data, and to obtain a perception result that the remaining computing power of the data processing edge network is sufficient to process the service request or a perception result that the remaining computing power of the data processing edge network is insufficient to process the service request;

[0080] an authorization module, configured to, when the perception result indicates that the remaining computing power of the data processing edge network is sufficient to process the service request, authorize the cloud data processing center to authorize the service request to be processed by the data processing edge network;

[0081] The cloud data processing center processing module is used to process the service request by the cloud data processing center when the perception result is that the remaining computing power of the data processing edge network is insufficient to process the service request.

[0082] In a preferred embodiment, the computing-network integrated multi-dimensional data sensing device may further include:

[0083] The data processing edge network automatic full-authority processing module is used to automatically and fully process the service request when the data processing edge network fails to connect to the data processing center for more than a preset time, and mark the fully processed service request as an abnormal service request for connecting to the data processing center.

[0084] In a preferred embodiment, the computing-network integrated multi-dimensional data sensing device may further include:

[0085] an idle computing power information broadcasting module, configured to broadcast information about the idle computing power in the computing network when the computing power of the data processing terminal becomes idle;

[0086] An idle computing power sharing module is configured to, when the computing power of a data processing terminal in the computing network is insufficient to support the normal operation of the data processing terminal, cause the data processing terminal with insufficient computing power to issue a computing power sharing request to the data processing terminal with idle computing power in the computing network, and the data processing terminal with idle computing power shares the idle computing power with the data processing terminal that issued the computing power sharing request;

[0087] The computing power sharing information sending module is used to send the computing power sharing information to the cloud data processing center through the data processing edge network.

[0088] In a preferred embodiment, the computing-network integrated multi-dimensional data sensing device may further include:

[0089] The computing power collection module is used by the cloud data processing center to collect in real time all idle computing power of the data processing edge network connected to the cloud data processing center in the computing network. The idle computing power collected in real time is used to centrally process service requests that are not handled by the remaining computing power of the data processing edge network.

[0090] It should be noted that the system embodiment described above is merely illustrative, wherein the modules described above as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the system embodiment provided by this application, the connection relationship between the modules indicates that there is a communication connection between them, which can be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art can understand and implement it without paying any creative work. The above schematic diagram is only an example of a computing-network integrated multi-dimensional data perception device, and does not constitute a limitation of a computing-network integrated multi-dimensional data perception device, and may include more or fewer components than shown in the figure, or a combination of certain components, or different components.

[0091] Based on the above method embodiment, the present application provides a corresponding terminal embodiment.

[0092] Another embodiment of the present application provides a terminal, including a processor, a memory, and a computer program stored in the above memory and configured to be executed by the above processor. When the above processor executes the above computer program, it implements a computing-network integrated multi-dimensional data perception method described in any embodiment of the present application.

[0093] For example, in this embodiment, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to implement the present application. The one or more module elements may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program in the device.

[0094] The terminals can be computing devices such as desktop computers, notebook computers, PDAs, and cloud servers. The devices can include, but are not limited to, processors and memories.

[0095] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the above-mentioned device, connecting various parts of the entire device using various interfaces and lines.

[0096] The above-mentioned memory can be used to store the above-mentioned computer programs and / or modules. The above-mentioned processor realizes various functions of the above-mentioned device by running or executing the computer programs and / or modules stored in the above-mentioned memory, and calling the data stored in the memory. The above-mentioned memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; in addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0097] Based on the above method embodiment, the present application provides a corresponding storage medium embodiment.

[0098] Another embodiment of the present application provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute a computing-network integrated multi-dimensional data perception method as described in any embodiment of the present application.

[0099] In this embodiment, the storage medium is a computer-readable storage medium, and the computer program includes computer program code, which may be in source code form, object code form, an executable file, or some intermediate form. The computer-readable medium may include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium.

[0100] The above is a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications are also considered to be within the scope of protection of the present application.

Claims

1. A computing-network integrated multi-dimensional data perception method, characterized in that: The following steps are involved: Collect multi-dimensional data from the data processing edge network and the data processing terminal in real time, and send the collected multi-dimensional data to the cloud data processing center; When the computing network receives a service request sent by a user from the data processing terminal, the cloud data processing center perceives the remaining computing power of the data processing edge network where the data processing terminal is located by decomposing and measuring the multi-dimensional data, and obtains a perception result that the remaining computing power of the data processing edge network is sufficient to process the service request or a perception result that the remaining computing power of the data processing edge network is insufficient to process the service request; When the perception result indicates that the remaining computing power of the data processing edge network is sufficient to process the service request, the cloud data processing center authorizes the service request to the data processing edge network for processing; When the perception result is that the remaining computing power of the data processing edge network is insufficient to process the service request, the service request is processed by the cloud data processing center.

2. The method for multi-dimensional data perception based on computing and network integration according to claim 1, characterized in that: In the step where, when the computing network receives a service request sent by a user from the data processing terminal, the cloud data processing center perceives the remaining computing power of the data processing edge network where the data processing terminal is located by decomposing and measuring the multidimensional data, and obtains a perception result that the remaining computing power of the data processing edge network is sufficient to process the service request or a perception result that the remaining computing power of the data processing edge network is insufficient to process the service request, the method for obtaining the perception result that the remaining computing power of the data processing edge network is sufficient to process the service request includes the following expression: Among them, G i S represents the remaining computing power of the ith data processing edge network in the computing network perceived by the cloud data processing center, i The total computing power of the i-th data processing edge network in the computing network, Q n Indicates the computing power required for the nth service request, n is a positive integer, 1≤n≤N, γ n Indicates the difficulty coefficient of completing the nth service request.

3. The method for multi-dimensional data perception based on computing and network integration according to claim 1, characterized in that: The following steps are also included: When the data processing edge network fails to connect to the data processing center for more than a preset time, the data processing edge network automatically processes the service request with full authority and marks the service request processed with full authority as a service request with abnormal connection to the data processing center.

4. The method for multi-dimensional data perception based on computing and network integration according to claim 3, characterized in that: The step of automatically and fully processing the service request by the data processing edge network when the data processing edge network fails to connect to the data processing center for more than a preset time, and marking the fully processed service request as a service request with abnormal connection to the data processing center, comprises the following steps: When the data processing edge network fails to connect to the data processing center for a predetermined period of time, the data processing edge network senses, by direct measurement, whether the remaining computing power of the data processing edge network is sufficient to process the service request; When the remaining computing power of the data processing edge network is sufficient to process the service request, the data processing edge network directly and fully processes the service request; otherwise, the data processing edge network schedules the idle computing power of the data processing terminal connected to the data processing edge network to cooperate with the data processing edge network to process the service request.

5. The method for multi-dimensional data perception based on computing and network integration according to claim 1, characterized in that: It also includes the following steps: When the computing power of the data processing terminal becomes idle, the data processing terminal broadcasts information of the idle computing power in the computing network; When the computing power of a data processing terminal in the computing network is insufficient to support the normal operation of the data processing terminal, the data processing terminal with insufficient computing power to support the normal operation sends a computing power sharing request to the data processing terminal with idle computing power in the computing network, and the data processing terminal with idle computing power shares the idle computing power with the data processing terminal that issued the computing power sharing request; The information on computing power sharing is sent to the cloud data processing center through the data processing edge network.

6. The method for multi-dimensional data perception based on computing and network integration according to claim 1, characterized in that: The following steps are also included: The cloud data processing center collects in real time all idle computing power of the data processing edge network connected to the cloud data processing center in the computing network. The idle computing power collected in real time is used to centrally process service requests that are insufficient to be processed by the remaining computing power of the data processing edge network.

7. A computing and network integrated multi-dimensional data sensing device, characterized in that: include: A collection and transmission module is used to collect multidimensional data from the data processing edge network and the data processing terminal in real time, and send the collected multidimensional data to the cloud data processing center; A computing power perception module is configured to, when the computing network receives a service request sent by a user from the data processing terminal, cause the cloud data processing center to perceive the remaining computing power of the data processing edge network where the data processing terminal is located by decomposing and measuring the multi-dimensional data, and to obtain a perception result that the remaining computing power of the data processing edge network is sufficient to process the service request or a perception result that the remaining computing power of the data processing edge network is insufficient to process the service request; an authorization module, configured to, when the perception result indicates that the remaining computing power of the data processing edge network is sufficient to process the service request, authorize the cloud data processing center to authorize the service request to be processed by the data processing edge network; The cloud data processing center processing module is used to process the service request by the cloud data processing center when the perception result is that the remaining computing power of the data processing edge network is insufficient to process the service request.

8. The computing-network integrated multi-dimensional data sensing device according to claim 7, characterized in that: Also includes: The data processing edge network automatic full-authority processing module is used to automatically and fully process the service request when the data processing edge network fails to connect to the data processing center for more than a preset time, and mark the fully processed service request as an abnormal service request for connecting to the data processing center.

9. The computing-network integrated multi-dimensional data sensing device according to claim 7, characterized in that: Also includes: an idle computing power information broadcasting module, configured to broadcast information about the idle computing power in the computing network when the computing power of the data processing terminal becomes idle; An idle computing power sharing module is configured to, when the computing power of a data processing terminal in the computing network is insufficient to support the normal operation of the data processing terminal, cause the data processing terminal with insufficient computing power to issue a computing power sharing request to the data processing terminal with idle computing power in the computing network, and the data processing terminal with idle computing power shares the idle computing power with the data processing terminal that issued the computing power sharing request; The computing power sharing information sending module is used to send the computing power sharing information to the cloud data processing center through the data processing edge network.

10. The computing-network integrated multi-dimensional data sensing device according to claim 7, characterized in that: Also includes: The computing power collection module is used by the cloud data processing center to collect in real time all idle computing power of the data processing edge network connected to the cloud data processing center in the computing network. The idle computing power collected in real time is used to centrally process service requests that are not handled by the remaining computing power of the data processing edge network.

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