Real-time data collaboration strategy control system, method and device based on cloud edge collaboration scenario, computer equipment, storage medium and computer program product

Abstract

The embodiment of the application provides a kind of real-time data coordination strategy control system, method, device, computer equipment, storage medium and computer program product based on cloud edge coordination scene, it is related to cloud computing technology field.The system includes: cloud server, edge server, policy collection terminal and policy collection server;Wherein: policy collection server, receive data rule conversion strategy from policy collection terminal, and send data rule conversion strategy to cloud server;Cloud server receives data rule conversion strategy, and sends to edge server;Edge server, acquisition power acquisition data, and according to data rule conversion strategy and power acquisition data, obtain to be transmitted power data.The system, according to data rule conversion strategy, carries out screening filtering to power acquisition data, obtains to be transmitted power data, so as to reduce bandwidth waste, improve data transmission efficiency, and reduce transmission cost.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cloud computing, and in particular to a real-time data collaboration strategy control system and method based on a cloud-edge collaboration scenario, a device, computer equipment, a storage medium and a computer program product. BACKGROUND

[0002] In a cloud-edge collaboration scenario, generally, an edge database needs to upload real-time power collection data to a corresponding cloud server.

[0003] In the current real-time data collaboration strategy control technology based on a cloud-edge collaboration scenario, the power collection data collected by an edge server is generally synchronized in full to a corresponding cloud server. However, there is a considerable amount of non-required data in the synchronized data, which causes waste of bandwidth and low data transmission efficiency. SUMMARY

[0004] Therefore, it is necessary to provide a real-time data collaboration strategy control system, method, device, computer equipment, storage medium and computer program product based on a cloud-edge collaboration scenario to solve the above technical problems.

[0005] In a first aspect, the present application provides a real-time data collaboration strategy control system based on a cloud-edge collaboration scenario. The system comprises:

[0006] a cloud server, an edge server, a policy collection terminal and a policy collection server; wherein:

[0007] The policy collection server is configured to receive a data rule conversion strategy from the policy collection terminal and send the data rule conversion strategy to the cloud server.

[0008] The cloud server is configured to receive the data rule conversion strategy and send the data rule conversion strategy to the edge server.

[0009] The edge server is configured to collect power collection data and obtain to-be-transmitted power data according to the data rule conversion strategy and the power collection data.

[0010] In one embodiment, the edge server comprises a collection service module and a data conversion module. The collection service module is configured to collect the power collection data and send the power collection data to the data conversion module. The data conversion module is configured to receive the power collection data and filter the to-be-transmitted power data from the power collection data according to the data rule conversion strategy.

[0011] In one of the embodiments, the data conversion module is further configured to: acquire an extraction field rule in the data rule conversion strategy; filter field data corresponding to the extraction field rule from the power collection data by using the extraction field rule, and determine the field data as the to-be-transmitted power data.

[0012] In one of the embodiments, the cloud server is further configured to store the data rule conversion strategy in a cloud database.

[0013] In one of the embodiments, the cloud server comprises a strategy control service module, which is configured to acquire the data rule conversion strategy from the cloud database according to a preset trigger condition, and broadcast the data rule conversion strategy to the edge server.

[0014] In a second aspect, the application provides a real-time data collaboration strategy control method based on a cloud-edge collaboration scenario, applied to a cloud server of a real-time data collaboration strategy control system based on a cloud-edge collaboration scenario. The method comprises:

[0015] receiving a data rule conversion strategy sent by a strategy collection server of the real-time data collaboration strategy control system based on the cloud-edge collaboration scenario, and storing the data rule conversion strategy in a cloud database;

[0016] acquiring the data rule conversion strategy from the cloud database in response to a preset trigger condition, and broadcasting the data rule conversion strategy to an edge server; the edge server is configured to collect power collection data, and obtain to-be-transmitted power data according to the data rule conversion strategy and the power collection data.

[0017] In a third aspect, the application provides a real-time data collaboration strategy control device based on a cloud-edge collaboration scenario, applied to a cloud server of a real-time data collaboration strategy control system based on a cloud-edge collaboration scenario. The device comprises:

[0018] an acquisition module configured to receive a data rule conversion strategy sent by a strategy collection server of the real-time data collaboration strategy control system based on the cloud-edge collaboration scenario, and store the data rule conversion strategy in a cloud database;

[0019] a sending module configured to acquire the data rule conversion strategy from the cloud database in response to a preset trigger condition, and broadcast the data rule conversion strategy to an edge server; the edge server is configured to collect power collection data, and obtain to-be-transmitted power data according to the data rule conversion strategy and the power collection data.

[0020] In a fourth aspect, the present application provides a computer device. The computer device comprises a memory and a processor. The memory stores a computer program. The processor implements the following steps when executing the computer program:

[0021] receiving a data rule conversion strategy sent by a policy collection server of the real-time data collaborative strategy control system based on the cloud-edge collaborative scenario, and storing the data rule conversion strategy into a cloud database;

[0022] in response to a preset trigger condition, obtaining the data rule conversion strategy in the cloud database, and broadcasting the data rule conversion strategy to an edge server; the edge server is configured to collect power collection data, and obtain to-be-transmitted power data according to the data rule conversion strategy and the power collection data.

[0023] In a fifth aspect, the present application provides a computer readable storage medium. The computer readable storage medium stores a computer program. The computer program is executed by a processor to implement the following steps:

[0024] receiving a data rule conversion strategy sent by a policy collection server of the real-time data collaborative strategy control system based on the cloud-edge collaborative scenario, and storing the data rule conversion strategy into a cloud database;

[0025] in response to a preset trigger condition, obtaining the data rule conversion strategy in the cloud database, and broadcasting the data rule conversion strategy to an edge server; the edge server is configured to collect power collection data, and obtain to-be-transmitted power data according to the data rule conversion strategy and the power collection data.

[0026] In a sixth aspect, the present application provides a computer program product. The computer program product comprises a computer program. The computer program is executed by a processor to implement the following steps:

[0027] receiving a data rule conversion strategy sent by a policy collection server of the real-time data collaborative strategy control system based on the cloud-edge collaborative scenario, and storing the data rule conversion strategy into a cloud database;

[0028] in response to a preset trigger condition, obtaining the data rule conversion strategy in the cloud database, and broadcasting the data rule conversion strategy to an edge server; the edge server is configured to collect power collection data, and obtain to-be-transmitted power data according to the data rule conversion strategy and the power collection data.

[0029] The aforementioned real-time data collaboration strategy control system, method, apparatus, computer equipment, storage medium, and computer program product based on cloud-edge collaboration scenarios includes: a cloud server, an edge server, a strategy collection terminal, and a strategy collection server. The strategy collection server receives data rule conversion strategies from the strategy collection terminal and sends these strategies to the cloud server. The cloud server receives the data rule conversion strategies and sends them to the edge server. The edge server collects power data and, based on the data rule conversion strategies and the collected power data, obtains the power data to be transmitted. In the system provided by this application embodiment, the introduction of data rule conversion strategies into the cloud-edge collaboration system allows for the acquisition of user-defined data rule conversion strategies. Furthermore, the edge server can filter and select the real-time collected power data according to the data rule conversion strategies to obtain the power data to be transmitted. This reduces the amount of data transmitted, minimizes bandwidth waste, improves data transmission efficiency, and lowers transmission costs. Attached Figure Description

[0030] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 A schematic diagram of the structure of a real-time data collaboration strategy control system based on a cloud-edge collaboration scenario provided in this application embodiment;

[0032] Figure 2 A schematic diagram of another real-time data collaboration strategy control system based on a cloud-edge collaboration scenario provided in this application embodiment;

[0033] Figure 3 A flowchart illustrating a real-time data collaboration strategy control method based on a cloud-edge collaboration scenario provided in this application embodiment;

[0034] Figure 4 A structural block diagram of a real-time data collaboration strategy control device based on a cloud-edge collaboration scenario provided in this application embodiment;

[0035] Figure 5 This is an internal structural diagram of a computer device provided in an embodiment of this application. Detailed Implementation

[0036] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0037] In one exemplary embodiment, as shown in Figure 1 A real-time data collaboration strategy control system based on a cloud-edge collaboration scenario is provided, and the system comprises a cloud server, an edge server, a strategy collection terminal and a strategy collection server. The strategy collection server is configured to receive a data rule conversion strategy from the strategy collection terminal and send the data rule conversion strategy to the cloud server. The cloud server is configured to receive the data rule conversion strategy and send the data rule conversion strategy to the edge server. The edge server is configured to collect power collection data and obtain to-be-transmitted power data according to the data rule conversion strategy and the power collection data.

[0038] In the real-time data collaboration strategy control system based on the cloud-edge collaboration scenario, a cloud server, an edge server, a strategy collection terminal, and a strategy collection server can be included. The strategy collection terminal can be, but is not limited to, various personal computers, notebook computers, smartphones, tablet computers, Internet of Things devices, and portable wearable devices. The Internet of Things devices can be smart speakers, smart televisions, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The strategy collection server can be implemented by an independent server or a server cluster composed of multiple servers. The strategy collection terminal can communicate with the strategy collection server through a network. A user can register and log in to a strategy collection platform of the real-time data collaboration strategy control system based on the cloud-edge collaboration scenario on the strategy collection terminal. The strategy collection terminal displays a strategy collection page in response to a login operation triggered by the user. The user can fill in a data rule conversion strategy for to-be-transmitted power data on the strategy collection page. The strategy collection terminal can send the data rule conversion strategy for the to-be-transmitted power data to the strategy collection server in response to a fill-in operation triggered by the user on the strategy collection page. The strategy collection server can send the data rule conversion strategy to the cloud server. The cloud server can store the received data rule conversion strategy for the to-be-transmitted power data in a cloud database. The cloud database can store multiple data rule conversion strategies. The data rule conversion strategy and the to-be-transmitted power data have a corresponding relationship. The to-be-transmitted power data can be power data that a user needs to obtain and needs to be transmitted from an edge server to a cloud server. The data rule conversion strategy can be a filtering condition for the corresponding to-be-transmitted power data. The data rule conversion strategy can be used to filter the corresponding to-be-transmitted power data from real-time collected power collection data. The cloud server can obtain the data rule conversion strategy in the cloud database according to a preset triggering condition and broadcast the data rule conversion strategy to at least one edge server through a cloud-edge collaboration channel. The edge server can use the data rule conversion strategy to filter the to-be-transmitted power data corresponding to the data rule conversion strategy from the power collection data after collecting the power collection data in real time. The preset triggering condition can be a condition that needs to obtain to-be-transmitted power data and transmit the to-be-transmitted power data from an edge server to a cloud server, for example, a triggering period can be set to trigger periodically.

[0039] In the system of the embodiment, the system comprises a cloud server, an edge server, a policy collection terminal and a policy collection server; wherein: the policy collection server is configured to receive a data rule conversion policy from the policy collection terminal and send the data rule conversion policy to the cloud server; the cloud server is configured to receive the data rule conversion policy and send the data rule conversion policy to the edge server; and the edge server is configured to collect power collection data and obtain to-be-transmitted power data according to the data rule conversion policy and the power collection data. In the system provided by the embodiment, the data rule conversion policy is introduced into the cloud-edge cooperation system, the data rule conversion policy set by a user can be obtained, and then the edge server can filter the real-time collected power collection data according to the data rule conversion policy to obtain to-be-transmitted power data, so that the amount of transmission data can be reduced, the bandwidth waste can be reduced, the data transmission efficiency can be improved, and the transmission cost can be reduced.

[0040] In one example embodiment, as shown in Figure 2 the edge server comprises a collection service module and a data conversion module; the collection service module is configured to collect power collection data and send the power collection data to the data conversion module; and the data conversion module is configured to receive the power collection data and filter to-be-transmitted power data from the power collection data according to a data rule conversion policy.

[0041] The collection service module can collect various types of power data, i.e., power collection data, such as power equipment operation data and power station status data, in real time. Next, the collection service module can push the real-time collected power collection data to the data conversion module of the edge server according to a pre-set interface specification. Then, the data conversion module can filter the power collection data according to the data rule conversion policy corresponding to the power collection data received by the broadcast to obtain the to-be-transmitted power data corresponding to the data rule conversion policy.

[0042] In one example embodiment, the data conversion module is further configured to: obtain an extraction field rule in the data rule conversion policy; filter field data corresponding to the extraction field rule from the power collection data using the extraction field rule; and determine the field data as the to-be-transmitted power data.

[0043] The data conversion module can parse the data rule conversion strategy content by using a parsing library or a parsing algorithm, and extract the rule information about field extraction and filtering, i.e., the extraction field rule. For example, the parsing can extract the detailed rules of the field name list to be extracted, the filtering conditions (e.g., a specific numerical range, a specific character matching, etc.), and the data conversion operation (e.g., data type conversion, etc.). In addition, the data conversion module can also perform format conversion on the power collection data, so that the data format of the power collection data matches the data format of the data rule conversion strategy and the extraction field rule. Next, the data conversion module traverses each field in the input power collection data, and extracts the value of the field in the extraction field list, and organizes it into a new data structure according to a predetermined order. For example, if the data rule conversion strategy specifies to extract three fields of device number, temperature value and running state, the data conversion module finds the corresponding field values from the power collection data, and constructs a new data object containing only these three fields and their corresponding values. Further, for each data object after extraction, the data conversion module can judge one by one according to the filtering conditions in the data rule conversion strategy. If the data object satisfies all the filtering conditions, the data object is retained; if the data object does not satisfy at least one of the filtering conditions, the data object is discarded. For example, the filtering conditions are that the temperature value is greater than 50 degrees Celsius and the running state is "normal", only the data object that satisfies both conditions will be retained for subsequent processing. Further, the to-be-transmitted power data can be screened, and the to-be-transmitted power data can be stored according to business needs, for example, stored in a local database, or packaged and uploaded to a cloud server or other target location according to a certain time interval or data volume threshold.

[0044] In the system of the embodiment, the real-time collected power collection data can be filtered according to the data rule conversion strategy to obtain the to-be-transmitted power data, so that the amount of transmission data can be reduced, the bandwidth waste can be reduced, the data transmission efficiency can be improved, and the transmission cost can be reduced.

[0045] In an exemplary embodiment, the cloud server is further configured to store the data rule conversion strategy in the cloud database.

[0046] In an exemplary embodiment, the cloud server includes a strategy management service module. The strategy management service module is configured to acquire the data rule conversion strategy from the cloud database according to a preset triggering condition, and broadcast the data rule conversion strategy to the edge server.

[0047] The preset trigger condition can be a condition that needs to acquire the to-be-transmitted power data and transmit the to-be-transmitted power data from the edge server to the cloud server in advance, for example, a trigger period can be set to realize periodic triggering. In a possible implementation, the policy control service module of the cloud server can set a timing task mechanism, for example, a policy acquisition operation is automatically triggered every certain time interval (for example, 5 minutes, 10 minutes, etc., which can be adjusted according to actual business requirements). In another possible implementation, the policy control service module of the cloud server can set a specific trigger condition. For example, when it is detected that the policy data in the database has been updated (through a change notification mechanism of the database, such as a trigger function provided by some databases or an API for listening to data changes), or a manual trigger instruction is received from an administrator (through a management interface or a specific command interface), the policy acquisition operation is started. In the case where the preset trigger condition is met, the policy control service module can use a database connection component to establish a connection with a cloud database in which the data rule conversion policy is stored, acquire the latest data rule conversion policy from the cloud database table according to a pre-defined query statement, and the query statement accurately retrieves the corresponding data rule conversion policy information according to the database structure design, the data rule conversion policy information includes but is not limited to the rule content, the applicable range and the version information of the data rule conversion policy, etc. Then, the data rule conversion policy can be broadcast to the edge server in the form of broadcast.

[0048] In the system of the embodiment, the cloud database can store the data rule conversion policy, and in the case where the preset trigger condition is met, the policy control service module can call the data rule conversion policy and send it to the edge server, so as to facilitate subsequent filtering of the power collection data by using the data rule conversion policy to obtain the to-be-transmitted power data, and the data transmission efficiency can be improved.

[0049] In an exemplary embodiment, as shown in Figure 3 A real-time data collaboration strategy control method based on a cloud-edge collaboration scenario is provided. The method is applied to a cloud server of a real-time data collaboration strategy control system based on a cloud-edge collaboration scenario. The method can include the following steps:

[0050] In step 302, a data rule conversion policy sent by a policy collection server of a real-time data collaboration strategy control system based on a cloud-edge collaboration scenario is received, and the data rule conversion policy is stored in a cloud database.

[0051] Wherein, in the real-time data collaboration strategy control system based on the cloud-edge collaboration scenario, a cloud server, an edge server, a strategy collection terminal and a strategy collection server can be included. The strategy collection terminal can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart televisions, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The strategy collection server can be implemented by an independent server or a server cluster composed of multiple servers. The strategy collection terminal can communicate with the strategy collection server through a network. A user can register and log in to the strategy collection platform of the real-time data collaboration strategy control system based on the cloud-edge collaboration scenario on the strategy collection terminal. The strategy collection terminal displays a strategy collection page in response to a login operation triggered by the user. The user can fill in a data rule conversion strategy for the to-be-transmitted power data on the strategy collection page. The strategy collection terminal can send the data rule conversion strategy for the to-be-transmitted power data to the strategy collection server in response to the filling operation triggered by the user on the strategy collection page. The strategy collection server can send the data rule conversion strategy to the cloud server. The cloud server can store the received data rule conversion strategy for the to-be-transmitted power data in a cloud database. The cloud database can store multiple data rule conversion strategies. The data rule conversion strategy and the to-be-transmitted power data have a corresponding relationship. The to-be-transmitted power data can be power data that a user needs to obtain and needs to be transmitted from an edge server to a cloud server. The data rule conversion strategy can be a filtering condition for the corresponding to-be-transmitted power data.

[0052] In step 304, in response to a preset trigger condition, a data rule conversion strategy is acquired in a cloud database, and the data rule conversion strategy is broadcasted to an edge server.

[0053] The edge server is configured to collect power collection data and obtain to-be-transmitted power data according to the data rule conversion strategy and the power collection data. The cloud server can acquire the data rule conversion strategy in the cloud database according to a preset trigger condition and broadcast the data rule conversion strategy to at least one edge server. After collecting power collection data in real time, the edge server can use the data rule conversion strategy to filter the to-be-transmitted power data corresponding to the data rule conversion strategy from the power collection data. The preset trigger condition can be a condition that needs to acquire to-be-transmitted power data and transmit the to-be-transmitted power data from an edge server to a cloud server, for example, a trigger period can be set to trigger periodically.

[0054] In the method of the embodiment, the data rule conversion strategy is introduced into the cloud edge collaboration system, the data rule conversion strategy set by the user can be acquired, and then the edge server can filter the real-time collected power collection data according to the data rule conversion strategy to obtain to-be-transmitted power data, so that the amount of transmitted data can be reduced, bandwidth waste can be reduced, data transmission efficiency can be improved, and transmission cost can be reduced.

[0055] It should be understood that, although each step in the flowchart involved in each embodiment as described above is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the order of the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily sequential, but can be alternately executed with at least part of other steps or steps or stages in other steps.

[0056] Based on the same inventive concept, the embodiments of the present application also provide a cloud edge collaboration scenario-based real-time data collaboration strategy control device for implementing the above-mentioned cloud edge collaboration scenario-based real-time data collaboration strategy control method. The problem-solving implementation scheme provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more cloud edge collaboration scenario-based real-time data collaboration strategy control device embodiments provided below can be referred to the limitations of the cloud edge collaboration scenario-based real-time data collaboration strategy control method in the foregoing, which will not be repeated here.

[0057] In one embodiment, as shown in Figure 4 a cloud edge collaboration scenario-based real-time data collaboration strategy control device is provided, comprising: an acquisition module 402 and a sending module 404, wherein:

[0058] The acquisition module 402 is configured to receive a data rule conversion strategy sent by a policy collection server of the cloud edge collaboration scenario-based real-time data collaboration strategy control system, and store the data rule conversion strategy in a cloud database;

[0059] The sending module 404 is configured to, in response to a preset trigger condition, acquire the data rule conversion strategy in the cloud database, and broadcast the data rule conversion strategy to an edge server; the edge server is configured to collect power collection data, and obtain to-be-transmitted power data according to the data rule conversion strategy and the power collection data.

[0060] The modules in the real-time data collaboration strategy control apparatus based on the cloud-edge collaboration scenario can be implemented by software, hardware, or a combination thereof. The modules can be embedded in or independent of a processor in a computer device in hardware form, or stored in a memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the modules.

[0061] In an embodiment, a computer device, which can be a server, has an internal structure as shown in Figure 5 The computer device includes a processor, a memory, and a network interface connected by a system bus. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for running the operating system and the computer program in the non-volatile storage medium. The database of the computer device is configured to store real-time data collaboration strategy control related data based on a cloud-edge collaboration scenario. The network interface of the computer device is configured to communicate with an external terminal through a network connection. The computer program, when executed by the processor, implements a real-time data collaboration strategy control method based on a cloud-edge collaboration scenario.

[0062] Those skilled in the art can understand that Figure 5 The structure shown in the above embodiment is only a block diagram of part of the structure related to the scheme of the present application, and does not limit the computer device to which the scheme of the present application is applied. Specifically, the computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0063] In an embodiment, a computer device is also provided, which includes a memory and a processor. The memory stores a computer program. The processor, when executing the computer program, implements the steps in the above method embodiments.

[0064] In an embodiment, a computer readable storage medium is provided, which stores a computer program. The computer program, when executed by a processor, implements the steps in the above method embodiments.

[0065] In an embodiment, a computer program product is provided, which includes a computer program. The computer program, when executed by a processor, implements the steps in the above method embodiments.

[0066] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties.

[0067] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0068] The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combinations of the technical features do not exist contradictory, they should be considered as the scope of the present application.

[0069] The above-described embodiments are merely illustrative of several embodiments of the present application, and the description is relatively specific and detailed, but should not be understood as a limitation on the scope of the patent. It should be noted that for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of the present application. Therefore, the scope of protection of the present application should be subject to the appended claims.

Claims

1. A real-time data collaboration strategy control system based on a cloud-edge collaboration scenario, characterized in that, The system comprises: a cloud server, an edge server, a policy collection terminal and a policy collection server; wherein: the policy collection server is configured to receive a data rule conversion policy from the policy collection terminal and send the data rule conversion policy to the cloud server; the cloud server is configured to receive the data rule conversion policy and send the data rule conversion policy to the edge server; the edge server is configured to collect power collection data and obtain to-be-transmitted power data according to the data rule conversion policy and the power collection data.

2. The system of claim 1, wherein, The edge server comprises a collection service module and a data conversion module; the collection service module is configured to collect the power collection data and send the power collection data to the data conversion module; and the data conversion module is configured to receive the power collection data and filter the to-be-transmitted power data from the power collection data according to the data rule conversion policy.

3. The system of claim 2, wherein, The data conversion module is further configured to: acquire an extraction field rule in the data rule conversion policy; filter field data corresponding to the extraction field rule from the power collection data by using the extraction field rule; and determine the field data as the to-be-transmitted power data.

4. The system of claim 1, wherein, The cloud server is further configured to store the data rule conversion policy in a cloud database.

5. The system of claim 4, wherein, The cloud server comprises a policy control service module; the policy control service module is configured to acquire the data rule conversion policy in the cloud database according to a preset trigger condition and broadcast the data rule conversion policy to the edge server. 6.A method for real-time data collaboration strategy control based on a cloud-edge collaboration scenario, characterized in that, A cloud server applied to a real-time data collaboration strategy control system based on a cloud-edge collaboration scenario; the method comprises: receiving a data rule conversion policy sent by a policy collection server of the real-time data collaboration strategy control system based on the cloud-edge collaboration scenario and storing the data rule conversion policy in a cloud database; in response to a preset trigger condition, acquiring the data rule conversion policy in the cloud database and broadcasting the data rule conversion policy to an edge server; the edge server is configured to collect power collection data and obtain to-be-transmitted power data according to the data rule conversion policy and the power collection data.

7. A real-time data collaboration strategy control device based on a cloud-edge collaboration scenario, characterized in that, A cloud server applied to a real-time data collaboration strategy control system based on a cloud-edge collaboration scenario; the apparatus comprises: an acquisition module configured to receive a data rule conversion policy sent by a policy collection server of the real-time data collaboration strategy control system based on the cloud-edge collaboration scenario and store the data rule conversion policy in a cloud database; a sending module configured to, in response to a preset trigger condition, acquire the data rule conversion policy in the cloud database and broadcast the data rule conversion policy to an edge server; the edge server is configured to collect power collection data and obtain to-be-transmitted power data according to the data rule conversion policy and the power collection data.

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that, The processor implements the steps of the method of claim 6 when executing the computer program.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program, which when executed by a processor, implements the steps of the method of claim 6.

10. A computer program product comprising a computer program, characterized in that, The computer program, which when executed by a processor, implements the steps of the method of claim 6.

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