Multi-level data transmission and calculation method, system and device and medium

Abstract

The invention provides a multi-level data transmission and calculation method, system and device and a storage medium, and the method comprises the steps: forming a convergence ring network through a plurality of road side sensor calculation units, forming an optical fiber ring network through a plurality of base stations, and configuring a central cloud; respectively establishing communication between the optical fiber ring network and the central cloud as well as between the optical fiber ring network and the convergence ring network, and establishing a multi-level data processing architecture according to the convergence ring network, the optical fiber ring network and the central cloud; in response to a service request sent by a user and received by a base station, determining the type of required data according to the service request; and according to the type of the required data, determining the hierarchy of the processed data in the multi-hierarchy data processing architecture, and sending the processed data to a terminal corresponding to the user. According to the invention, the transmission efficiency can be improved on the basis of ensuring the data transmission security.

Description

Technical Field

[0001] The present invention relates to the field of vehicle-road collaboration, and more specifically, to a method, system, device and storage medium for multi-level data transmission and calculation. Background Art

[0002] The traditional data transmission path is: roadside equipment data-base station-BBU (baseband processing unit)-bearing network-core network-central cloud (for traffic diversion) and then back. In this case, any data needs to be transmitted through a very long path, making it difficult to provide low-latency data, reducing the timeliness of vehicle-road collaborative data. Summary of the invention

[0003] In view of this, the purpose of the embodiments of the present invention is to propose a method, system, device and computer-readable storage medium for multi-level data transmission and calculation. The present invention performs layered processing on low-latency data, continuous space-time data and long-period data, so that low-latency data and continuous space-time data can be processed in a converged ring network and a fiber optic ring network, thereby reducing transmission links and improving data processing and transmission efficiency while ensuring data transmission security.

[0004] Based on the above-mentioned purpose, one aspect of an embodiment of the present invention provides a multi-level data transmission and calculation method, comprising the following steps: forming a convergence ring network through multiple roadside sensor computing units, forming a fiber optic ring network through multiple base stations, and configuring a central cloud; establishing communications between the fiber optic ring network and the central cloud and the convergence ring network respectively, and establishing a multi-level data processing architecture based on the convergence ring network, the fiber optic ring network and the central cloud; in response to a base station receiving a service request sent by a user, determining the type of required data according to the service request; and determining the level of data processing in the multi-level data processing architecture according to the type of required data, and sending the processed data to the terminal corresponding to the user.

[0005] In some implementations, the step of determining the type of required data based on the service request includes: classifying the type of required data into low-latency data, continuous spatiotemporal data, and long-period data.

[0006] In some embodiments, the step of determining the level of data processing in the multi-level data processing architecture based on the type of required data includes: processing the low-latency data in the converged ring network, and transmitting the processed data to the corresponding terminal through the fiber optic ring network; processing the continuous spatiotemporal data in the fiber optic ring network, and directly transmitting the processed data to the corresponding terminal; and / or processing the long-period data in the central cloud, and transmitting the processed data to the corresponding terminal through the fiber optic ring network.

[0007] In some embodiments, the step of determining the level of processing data in the multi-level data processing architecture according to the type of required data, and sending the processed data to the terminal corresponding to the user includes: diverting the processed data through the user plane function in the optical fiber ring network to send the data to the terminal corresponding to the user through the nearest base station.

[0008] In some embodiments, the step of forming a convergent ring network through multiple roadside sensor computing units includes: connecting the roadside sensor computing units with adjacent roadside sensor computing units to form a local convergent ring network, and realizing roadside data fusion through the convergent ring network.

[0009] In some implementations, the step of forming a fiber optic ring network through a plurality of base stations includes: connecting a base station with a plurality of adjacent base stations to form a fiber optic ring network, and implementing data processing and sharing through the fiber optic ring network.

[0010] In some embodiments, the step of sending the processed data to the terminal corresponding to the user includes: providing the terminal with minimum range of traffic data under the premise of safety according to the location, speed and complexity of the current traffic scene of the terminal.

[0011] On the other hand, an embodiment of the present invention provides a multi-level data transmission and computing system, including: a configuration module, configured to form a convergence ring network through multiple roadside sensor computing units, form a fiber optic ring network through multiple base stations, and configure a central cloud; a communication module, configured to establish communications between the fiber optic ring network and the central cloud and the convergence ring network, respectively, and establish a multi-level data processing architecture based on the convergence ring network, the fiber optic ring network and the central cloud; a request module, configured to respond to a service request sent by a user received by the base station, and determine the type of required data according to the service request; and an execution module, configured to determine the level of data processing in the multi-level data processing architecture according to the type of required data, and send the processed data to the terminal corresponding to the user.

[0012] According to another aspect of an embodiment of the present invention, there is provided a multi-level data transmission and computing device, comprising: a plurality of roadside sensor computing units, which form a convergence ring network to merge and upload roadside data within the coverage of the convergence ring network; a plurality of base stations, which include user plane functions and corresponding edge computing technologies, and which form a fiber optic ring network to process and share data uploaded by the convergence ring network, and send the processed data to corresponding terminals; and a central cloud, which is communicatively connected to the fiber optic ring network, receives data sent by the fiber optic ring network and returns the processed data to the fiber optic ring network, wherein the base station is further configured to receive a service request sent by a user, determine the type of required data according to the service request, and determine whether to process the data through the convergence ring network, the fiber optic ring network and / or the central cloud according to the type of required data.

[0013] According to another aspect of the embodiments of the present invention, a computer-readable storage medium is provided, which stores a computer program that implements the above method steps when executed by a processor.

[0014] The present invention has the following beneficial technical effects: by performing layered processing on low-latency data, continuous space-time data and long-period data, low-latency data and continuous space-time data can be processed in a converged ring network and a fiber optic ring network, thereby reducing transmission links and improving data processing and transmission efficiency while ensuring data transmission security. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other embodiments can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A schematic diagram of an embodiment of a multi-level data transmission and calculation method provided by the present invention;

[0017] Figure 2 The overall architecture diagram of multi-level data transmission and calculation provided by the present invention;

[0018] Figure 3 A schematic diagram of an embodiment of a multi-level data transmission and calculation system provided by the present invention;

[0019] Figure 4 A working principle diagram of the multi-level data transmission and calculation device provided by the present invention;

[0020] Figure 5A schematic diagram of the on-line process of the multi-level data transmission and calculation device provided by the present invention;

[0021] Figure 6 A schematic diagram of an embodiment of a computer storage medium for multi-level data transmission and calculation provided by the present invention. DETAILED DESCRIPTION

[0022] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the embodiments of the present invention are further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0023] It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are for distinguishing two non-identical entities with the same name or non-identical parameters. It can be seen that "first" and "second" are only for the convenience of expression and should not be understood as limitations on the embodiments of the present invention. The subsequent embodiments will not explain this one by one.

[0024] A first aspect of the embodiments of the present invention provides an embodiment of a multi-level data transmission and calculation method. Figure 1 FIG. 1 is a schematic diagram of an embodiment of a multi-level data transmission and calculation method provided by the present invention. Figure 1 As shown, the embodiment of the present invention includes the following steps:

[0025] S1. Multiple roadside sensor computing units form a converged ring network, multiple base stations form a fiber ring network, and a central cloud is configured;

[0026] S2, respectively establishing communication between the optical fiber ring network and the central cloud and the converged ring network, and establishing a multi-level data processing architecture based on the converged ring network, the optical fiber ring network and the central cloud;

[0027] S3. In response to the base station receiving a service request sent by the user, determining the type of required data according to the service request; and

[0028] S4. Determine the level of data processing in the multi-level data processing architecture according to the type of required data, and send the processed data to the terminal corresponding to the user.

[0029] Figure 2 The overall architecture diagram of multi-level data transmission and calculation provided by the present invention, combined with Figure 2 The embodiments of the present invention are described.

[0030] like Figure 2As shown, the overall architecture of the embodiment of the present invention is divided into three layers: distributed computing layer, fused computing layer and central computing layer. The distributed computing layer uses RSSCU (Road Side Sensor Computing Unit) as the core module; the fused computing layer uses the computing base station as the core module, which is the basis of the computing network; the central computing layer is based on the public cloud.

[0031] The RSSCU of the distributed computing power layer integrates perception sensors (such as lidar, millimeter-wave radar, camera, acoustic and optical equipment, etc.), computing unit modules, data compression modules, positioning and timing modules, and wireless communication modules (WIFI, 5G). This module collects sensor data in real time and performs deep learning reasoning through the computing module to obtain perception results, and then transmits the perception results to the fusion computing power layer unit through the 5G module.

[0032] In the distributed computing layer, the data collected by the RSSCU is transmitted to the integrated computing layer via wireless transmission. In the embodiment of the present invention, a dual-transmit and selective-receive mechanism is used to achieve low data latency guarantee, that is, the transmitter uses dual wireless modules to send the same data, and the receiver extracts data on a first-come, first-served basis when receiving data. In order to ensure the path optimization effect of the two wireless modules in the distributed computing layer (that is, the paths are as inconsistent as possible), the wireless modules will dynamically switch between different base stations and different channels based on the SINR (signal-to-noise ratio) signal and the RSRP (reference signal received power) signal, thereby ensuring the lowest transmission latency.

[0033] In some embodiments, the step of forming a convergence ring network through multiple roadside sensor computing units includes: connecting the roadside sensor computing unit with adjacent roadside sensor computing units to form a local convergence ring network, and realizing the fusion of roadside data through the convergence ring network. In addition to being able to transmit through a wireless module, the RSSCU module in the embodiment of the present invention can also be connected to adjacent RSSCUs (wired or wireless) to form a local convergence ring network. In this ring network, the sensor data on each RSSCU can realize pre-fusion and post-fusion of data.

[0034] In some embodiments, the step of forming a fiber optic ring network through multiple base stations includes: connecting the base station to several adjacent base stations to form a fiber optic ring network, and realizing data processing and sharing through the fiber optic ring network. The base station is an interface device for the mobile terminal to access the entire architecture, which can transmit information with the mobile terminal. At the same time, the base station also has a computing function and can process the data transmitted from the converged ring network at the base station. Connecting multiple base stations to form a fiber optic ring network can avoid the problem of a single base station failing to perform vehicle-road collaboration. In addition, the fiber optic ring network can also improve the data processing efficiency and enable the data of each base station to be shared. At the same time, the fiber optic ring network can also fuse the data of each base station and transmit the fused data to the central cloud, which can further improve the data processing efficiency.

[0035] In some embodiments, the step of determining the type of required data based on the service request includes: dividing the type of required data into low-latency data, continuous spatiotemporal data, and long-period data. Low-latency data refers to data that has undergone one perception fusion; continuous spatiotemporal data refers to data that has been processed at least twice and aligned in time and space; long-period data refers to events that use minutes or even longer to process data, and data that needs to be processed multiple times. Users are mainly associated with service content. For example, the collaborative perception function refers to providing vehicles with real-time vehicle surrounding data, which belongs to the actual situation; the road congestion service uses spatiotemporal characteristics to extract traffic information, which belongs to continuous space and time; the traffic situation service is long-term data mining and analysis.

[0036] In some embodiments, the step of determining the level of data processing in the multi-level data processing architecture based on the type of required data includes: processing the low-latency data in the converged ring network, and transmitting the processed data to the corresponding terminal through the fiber optic ring network; processing the continuous spatiotemporal data in the fiber optic ring network, and directly transmitting the processed data to the corresponding terminal; and / or processing the long-period data in the central cloud, and transmitting the processed data to the corresponding terminal through the fiber optic ring network.

[0037] In some embodiments, the step of determining the level of processing data in the multi-level data processing architecture according to the type of required data, and sending the processed data to the terminal corresponding to the user includes: diverting the processed data through the user plane function in the optical fiber ring network to send the data to the terminal corresponding to the user through the nearest base station.

[0038] Low-latency data uses distributed layer computing power to process data to ensure timely processing of data. After processing, the semantic results are passed to the fusion layer, and the data is diverted to the near field through the UPF (User Plane Function) of the base station; continuous spatiotemporal data uses the computing power of the fusion layer to process data to ensure the spatiotemporal continuity of data in a larger area. After processing, it is passed to data demanders; data is again diverted from MEC (Mobile Edge Computing) through UPF near-field diversion to achieve efficient downlink and broadband uplink; long-period data uses central computing power to process data to ensure the integrity and periodicity of global data. These data can extract the characteristics of traffic data and provide data basis for solving city-level traffic problems.

[0039] In some embodiments, the step of sending the processed data to the terminal corresponding to the user includes: providing the terminal with a minimum range of traffic data under the premise of safety based on the terminal's location, speed and complexity of the current traffic scene. In order to ensure that the vehicle side obtains real-time roadside perception data in a timely manner, the vehicle will be provided with a minimum range of traffic information based on the vehicle's location, speed and complexity of the current traffic scene, while ensuring the maximum safety margin, thereby reducing data transmission delay.

[0040] It should be pointed out in particular that the various steps in the various embodiments of the above-mentioned multi-level data transmission and calculation method can be cross-linked, replaced, added, and deleted. Therefore, these reasonable permutations, combinations and transformations of the multi-level data transmission and calculation method should also fall within the scope of protection of the present invention, and the scope of protection of the present invention should not be limited to the embodiments.

[0041] Based on the above purpose, the second aspect of the embodiment of the present invention provides a multi-level data transmission and calculation system. Figure 3 As shown, the system 200 includes the following modules: a configuration module, configured to form a convergence ring network through multiple roadside sensor computing units, form a fiber optic ring network through multiple base stations, and configure a central cloud; a communication module, configured to establish communications between the fiber optic ring network and the central cloud and the convergence ring network respectively, and establish a multi-level data processing architecture based on the convergence ring network, the fiber optic ring network and the central cloud; a request module, configured to respond to a service request sent by a user received by the base station, and determine the type of required data according to the service request; and an execution module, configured to determine the level of data processing in the multi-level data processing architecture according to the type of required data, and send the processed data to the terminal corresponding to the user.

[0042] In some implementations, the request module is configured to classify the types of required data into low-latency data, continuous spatiotemporal data, and long-period data.

[0043] In some embodiments, the execution module is configured to: process the low-latency data in the converged ring network, and transmit the processed data to the corresponding terminal through the fiber optic ring network; process the continuous spatiotemporal data in the fiber optic ring network, and directly transmit the processed data to the corresponding terminal; and / or process the long-period data in the central cloud, and transmit the processed data to the corresponding terminal through the fiber optic ring network.

[0044] In some implementations, the execution module is configured to: divert the processed data through a user plane function in the optical fiber ring network, so as to send the data to a terminal corresponding to the user through a nearest base station.

[0045] In some implementations, the configuration module is configured to: connect a roadside sensor computing unit with a number of adjacent roadside sensor computing units to form a local convergence ring network, and achieve roadside data fusion through the convergence ring network.

[0046] In some implementations, the configuration module is configured to: connect the base station with adjacent base stations to form a fiber optic ring network, and implement data processing and sharing through the fiber optic ring network.

[0047] In some embodiments, the execution module is configured to provide the terminal with the minimum range of traffic data under the premise of safety based on the terminal's location, speed and complexity of the current traffic scene. In order to ensure that the vehicle side obtains real-time roadside perception data in a timely manner, the vehicle will be provided with the minimum range of traffic information under the premise of ensuring the maximum safety margin based on the vehicle's location, speed and complexity of the current traffic scene, thereby reducing data transmission delay.

[0048] Based on the above purpose, the third aspect of an embodiment of the present invention proposes a multi-level data transmission and computing device, including: multiple roadside sensor computing units, which form a convergence ring network to merge and upload roadside data within the coverage of the convergence ring network; multiple base stations, which include user plane functions and corresponding edge computing technologies, and the multiple base stations form a fiber optic ring network to process and share the data uploaded by the convergence ring network, and send the processed data to the corresponding terminal; and a central cloud, which is communicatively connected to the fiber optic ring network, receives the data sent by the fiber optic ring network and returns the processed data to the fiber optic ring network, wherein the base station is further configured to receive a service request sent by a user, determine the type of required data according to the service request, and determine whether to process the data through the convergence ring network, the fiber optic ring network and / or the central cloud according to the type of required data.

[0049] Figure 4 The working principle diagram of the multi-level data transmission and calculation device provided by the present invention is as follows: Figure 4 As shown in the figure, the intelligent connected vehicle registers the vehicle and driving information through the car enterprise TSP service cloud or the central computing layer (cloud control platform central cloud), so that the central computing layer (cloud control platform central cloud) can obtain the vehicle's driving information, vehicle information, location information and subscribed service information, etc. The central computing layer passes the fusion layer access interface to the intelligent connected vehicle based on the location information, and sends the service information to the relevant computing base stations on the driving route. The intelligent connected vehicle accesses the service of the fusion computing layer based on the interface information, thereby obtaining the service data of vehicle-road collaboration.

[0050] Figure 5 A schematic diagram of the on-line process of the multi-level data transmission and computing device provided by the present invention, such as Figure 5 As shown in the figure, the RSSCU online process in the distributed computing layer is divided into 6 steps, as follows:

[0051] (1) Initial system power-on: After power-on, the RSSCU obtains the device installation location through the GPS module, and the device records the location;

[0052] (2) Location information reporting: RSSCU transmits the acquired location signal to the central computing layer (central cloud of cloud control platform) through the 5G module for information registration;

[0053] (3) Download the positioning map. The central computing layer (cloud control platform central cloud) sends the local positioning reference map to the RSSCU based on the RSSCU location information for optimal posture adjustment.

[0054] (4) Equipment posture adjustment: The installation personnel complete the equipment posture adjustment under the guidance of the work simulation deployment;

[0055] (5) Configuration information interaction: RSSCU uploads the configuration information to the central computing layer (the central cloud of the cloud control platform), and the central computing layer (the central cloud of the cloud control platform) sends the configuration information to the computing base stations at the same time. At the same time, the central computing layer (the central cloud of the cloud control platform) transmits the fusion layer information, that is, the information of the nearest computing base stations, to RSSCU;

[0056] (6) Normal system operation: RSSCU transmits the corresponding configuration data to the fusion layer (computing power base station) based on the acquired fusion layer information, that is, the information of the nearest computing power base station, so that the system starts to work normally.

[0057] The present invention also provides a computer-readable storage medium, which stores a computer program for executing the method of multi-level data transmission and calculation when executed by a processor.

[0058] like Figure 6 FIG. 1 is a schematic diagram of an embodiment of the computer storage medium for multi-level data transmission and calculation provided by the present invention. Figure 6 Taking the computer storage medium shown as an example, the computer readable storage medium 401 stores a computer program 402 that performs the above method when executed by a processor.

[0059] Finally, it should be noted that a person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program of the multi-level data transmission and calculation method can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium of the program can be a disk, an optical disk, a read-only storage memory (ROM) or a random access memory (RAM), etc. The above-mentioned computer program embodiments can achieve the same or similar effects as the corresponding above-mentioned arbitrary method embodiments.

[0060] The above are exemplary embodiments disclosed in the present invention, but it should be noted that various changes and modifications may be made without departing from the scope disclosed in the embodiments of the present invention as defined in the claims. The functions, steps and / or actions of the method claims according to the disclosed embodiments described herein do not need to be performed in any particular order. In addition, although the elements disclosed in the embodiments of the present invention may be described or required in individual form, they may also be understood as multiple unless explicitly limited to the singular.

[0061] It should be understood that, as used herein, the singular forms "a", "an" are intended to include the plural forms as well, unless the context clearly supports an exception. It should also be understood that, as used herein, "and / or" refers to any and all possible combinations including one or more of the associated listed items.

[0062] The serial numbers of the embodiments disclosed in the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0063] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, 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 disk or an optical disk, etc.

[0064] Those skilled in the art should understand that the discussion of any of the above embodiments is only exemplary and is not intended to imply that the scope of the disclosure of the embodiments of the present invention (including the claims) is limited to these examples; under the concept of the embodiments of the present invention, the technical features in the above embodiments or different embodiments can also be combined, and there are many other changes in different aspects of the above embodiments of the present invention, which are not provided in detail for the sake of simplicity. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present invention should be included in the protection scope of the embodiments of the present invention.

Claims

1. A multi-level data transmission and calculation method, characterized in that: The steps include: A converged ring network is formed through multiple roadside sensor computing units, a fiber ring network is formed through multiple base stations, and a central cloud is configured; Establishing communication between the optical fiber ring network and the central cloud and the converged ring network respectively, and establishing a multi-level data processing architecture according to the converged ring network, the optical fiber ring network and the central cloud; In response to the base station receiving a service request sent by a user, determining a type of required data according to the service request; as well as The level at which data is processed in the multi-level data processing architecture is determined according to the type of required data, and the processed data is sent to the terminal corresponding to the user.

2. The multi-level data transmission and calculation method according to claim 1, characterized in that: The step of determining the type of required data according to the service request comprises: The types of required data are divided into low-latency data, continuous space-time data, and long-period data.

3. The multi-level data transmission and calculation method according to claim 2, characterized in that: The step of determining the level of processing data in the multi-level data processing architecture according to the type of required data comprises: Processing the low-latency data in the converged ring network, and transmitting the processed data to the corresponding terminal through the optical fiber ring network; Processing the continuous spatiotemporal data in the optical fiber ring network and directly transmitting the processed data to a corresponding terminal; and / or The long-period data is processed in the central cloud, and the processed data is transmitted to the corresponding terminal through the optical fiber ring network.

4. The multi-level data transmission and calculation method according to claim 3, characterized in that: The step of determining the level of data processing in the multi-level data processing architecture according to the type of required data, and sending the processed data to the terminal corresponding to the user includes: The processed data is diverted through the user plane function in the optical fiber ring network to send the data to the user's corresponding terminal through the nearest base station.

5. The multi-level data transmission and calculation method according to claim 1, characterized in that: The step of forming a converged ring network by using a plurality of roadside sensor computing units comprises: The roadside sensor computing unit is connected to adjacent roadside sensor computing units to form a local convergence ring network, and the fusion of roadside data is achieved through the convergence ring network.

6. The multi-level data transmission and calculation method according to claim 1, characterized in that: The step of forming a fiber ring network through multiple base stations includes: The base station is connected to several adjacent base stations to form an optical fiber ring network, through which data processing and sharing are realized.

7. The multi-level data transmission and calculation method according to claim 1, characterized in that: The step of sending the processed data to the terminal corresponding to the user includes: Based on the location, speed and complexity of the current traffic scene of the terminal, the terminal is provided with minimal traffic data under the premise of safety.

8. A multi-level data transmission and calculation system, characterized in that: include: A configuration module configured to form a converged ring network through multiple roadside sensor computing units, form a fiber ring network through multiple base stations, and configure a central cloud; A communication module configured to establish communication between the optical fiber ring network and the central cloud and the converged ring network respectively, and to establish a multi-level data processing architecture according to the converged ring network, the optical fiber ring network and the central cloud; A request module, configured to determine the type of required data according to the service request in response to the base station receiving the service request sent by the user; as well as The execution module is configured to determine the level of data processing in the multi-level data processing architecture according to the type of required data, and send the processed data to the terminal corresponding to the user.

9. A multi-level data transmission and calculation device, characterized in that: include: A plurality of roadside sensor computing units, wherein the plurality of roadside sensor computing units form a convergence ring network, and merge and upload roadside data within the coverage of the convergence ring network; A plurality of base stations, each of which includes a user plane function and a corresponding edge computing technology, and each of which forms a fiber ring network, processes and shares data uploaded by the converged ring network, and sends the processed data to a corresponding terminal; as well as A central cloud, the central cloud is connected to the optical fiber ring network for communication, receives data sent by the optical fiber ring network and returns the processed data to the optical fiber ring network, The base station is further configured to receive a service request sent by a user, determine the type of required data according to the service request, and determine to process the data through the converged ring network, optical fiber ring network and / or central cloud according to the type of required data.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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