Edge computing data processing method, device, equipment and storage medium

Abstract

The application provides an edge computing data processing method and device, equipment and a storage medium. The method acquires a to-be-selected data executable file, wherein the to-be-selected data executable file is stored in the cloud; the to-be-selected data executable file is run, a data open area is read, and a data selection mapping area is determined; the data selection mapping area is read to obtain an open data address of the to-be-selected data; and the target edge computing data is determined according to the open data address. The flexibility and expansibility of the to-be-uploaded data signal point are improved, the executable file has no redundancy and additional information, the probability of malicious information attachment is reduced, and the program running stability and system security are improved.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to an edge computing data processing method, apparatus, device, and storage medium. Background Technology

[0002] The Industrial Internet is an internet ecosystem and form that reshapes and transforms the industrial chain and internal value chain of various vertical industries based on internet technology and ecosystem. It is a new economic form that leverages information technology and internet platforms to fully utilize the internet's optimizing and integrating role in the allocation of production factors, achieving deep integration between the internet and traditional industries. This extends the innovative applications of the internet to various economic and social fields such as national economy, science and technology, military, and people's livelihood, ultimately improving national productivity. In the process of factory digitization, enterprises typically upload edge computing data to the Industrial Internet platform through standard interfaces.

[0003] When uploading edge computing data, data selection is required to determine which data needs to be uploaded. Traditional methods for uploading edge computing data involve developing a specific configuration library and setting up data selection functionality based on configuration or rule bases.

[0004] However, existing edge computing data processing methods have poor universality across different data interfaces, and require the configuration of specific databases when uploading data. The configuration and rule bases contain a lot of additional information, making them prone to carrying viruses and resulting in low security. Summary of the Invention

[0005] This application provides an edge computing data processing method, apparatus, device, and storage medium, thereby solving the technical problems of existing edge computing data processing methods, which have poor universality for different data interfaces, require the configuration of specific databases during data upload, have a lot of additional information in the configuration and rule bases, are prone to carrying viruses, and have low security.

[0006] In a first aspect, this application provides an edge computing data processing method, including:

[0007] Obtain the executable file of the data to be selected, wherein the executable file of the data to be selected is stored in the cloud;

[0008] Run the executable file containing the data to be selected, read the open data region, and determine the data selection mapping region;

[0009] Read the data selection mapping area to obtain the open data address of the data to be selected;

[0010] Based on the open data address, the target edge computing data is determined.

[0011] Herein, the application provides an edge computing data processing method. When an edge computing data processing device, such as an edge computing host, uploads data, the edge computing data processing device can pre-acquire a to-be-selected data executable file in the cloud. After running the executable file, the edge computing data processing device sets a data open area in a system shared memory, reads a data selection mapping area, finds an open data address, reads the required data in sequence, and realizes selection of the required data for uploading. In the application, the to-be-selected data executable file is stored in the cloud and can be dynamically modified in the cloud, which improves the flexibility and expansibility of the to-be-uploaded data signal points. Moreover, the executable file has no redundancy and additional information, which reduces the probability of malicious information attachment and improves the program running stability and system security.

[0012] Optionally, the to-be-selected data executable file comprises the required data for uploading and a basic signal point table.

[0013] The target edge computing data is determined according to the open data address, comprising:

[0014] The data is read in sequence according to the open data address, and basic signal point matching is performed through the basic signal point table to obtain the target edge computing data.

[0015] In the application, the to-be-selected data executable file comprises the required data for uploading and a basic signal point table. When the edge computing data is selected, the required data can be read in sequence and matched through the basic signal point table, so that the data can be efficiently and accurately selected.

[0016] Optionally, the to-be-selected data executable file is acquired, comprising:

[0017] The to-be-selected data executable file is downloaded through the cloud.

[0018] In the application, the to-be-selected data executable file can be downloaded in the cloud, which reduces the device memory, does not require development of a specific configuration library, has strong universality, has a simple implementation manner, and simplifies the steps of edge computing data processing.

[0019] Optionally, before the to-be-selected data executable file is acquired, the method further comprises:

[0020] The required data for uploading and the basic signal point table are linked in the cloud through a cloud programming manner.

[0021] The to-be-selected data executable file is dynamically generated according to the required data for uploading and the basic signal point table.

[0022] Wherein, the application can link the selected data and the basic signal point table in the cloud in advance through cloud programming, dynamically generate an executable file, download it to an edge transmission host, run it, realize dynamic linking of the selected data module through cloud programming, and improve the flexibility and expansibility of the signal points, reduce the probability of malicious information attachment, and improve the program running stability and system security.

[0023] Optionally, after the selected data executable file is dynamically generated according to the uploaded required data and the basic signal point table, the method further includes:

[0024] According to the to-be-updated uploaded required data and the to-be-updated basic signal point table, the selected data executable file is dynamically updated.

[0025] Here, the selected data executable file in the application is stored in the cloud and can be dynamically updated and modified, further improving the flexibility and expansibility of edge computing data processing and improving user experience.

[0026] Optionally, after the target edge computing data is determined according to the open data address, the method further includes:

[0027] The target edge computing data is uploaded to an industrial internet platform.

[0028] Here, the application can realize automatic selection of data and uploading of data.

[0029] In a second aspect, the application provides an edge computing data processing device, including:

[0030] An acquisition module is configured to acquire a selected data executable file, wherein the selected data executable file is stored in the cloud;

[0031] A first processing module is configured to run the selected data executable file, read a data open area, and determine a data selection mapping area.

[0032] A second processing module is configured to read the data selection mapping area and obtain an open data address of the selected data.

[0033] A determination module is configured to determine target edge computing data according to the open data address.

[0034] Optionally, the selected data executable file includes uploaded required data and a basic signal point table.

[0035] The determination module is specifically configured to:

[0036] According to the open data address, data is read in sequence, and basic signal point matching is performed through the basic signal point table to obtain target edge computing data.

[0037] Optionally, the acquisition module is specifically configured to:

[0038] The to-be-selected data executable file is downloaded through the cloud.

[0039] Optionally, before the acquisition module acquires the to-be-selected data executable file, the apparatus further includes:

[0040] The third processing module is specifically configured to: upload the required data and the basic signal point table to the cloud through a cloud programming mode; and dynamically generate the to-be-selected data executable file according to the uploaded required data and the basic signal point table.

[0041] Optionally, after the third processing module dynamically generates the to-be-selected data executable file according to the uploaded required data and the basic signal point table, the apparatus further includes:

[0042] The to-be-selected data executable file is dynamically updated according to the to-be-updated uploaded required data and the to-be-updated basic signal point table.

[0043] Optionally, after the determination module determines the target edge computing data according to the open data address, the apparatus further includes:

[0044] The upload module is configured to upload the target edge computing data to an industrial internet platform.

[0045] In a third aspect, the present application provides an edge computing data processing device, including: at least one processor and a memory;

[0046] The memory stores computer execution instructions;

[0047] The at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the edge computing data processing method as described in the above first aspect and various possible designs of the first aspect.

[0048] In a fourth aspect, the present application provides a computer readable storage medium, the computer readable storage medium stores computer execution instructions, when the processor executes the computer execution instructions, the edge computing data processing method as described in the above first aspect and various possible designs of the first aspect is realized.

[0049] In a fifth aspect, the present application provides a computer program product, including a computer program, when the computer program is executed by a processor, the edge computing data processing method as described in the above first aspect and various possible designs of the first aspect is realized.

[0050] The edge computing data processing method, device, equipment and storage medium provided by the application, wherein when the edge computing data processing equipment, such as the edge computing host, uploads data, the edge computing data processing equipment can obtain the executable file of the data to be selected in advance in the cloud, set a data open area in the system shared memory after running the executable file, read the data selection mapping area, find the open data address, and read the required data in sequence to realize the selection of the data to be uploaded. In the application, the executable file of the data to be selected is stored in the cloud and can be dynamically modified in the cloud, thereby improving the flexibility and expansibility of the data signal points to be uploaded, and the executable file has no redundancy and additional information, thereby reducing the probability of malicious information attachment and improving the program running stability and system security. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0052] Figure 1 A schematic diagram of an edge computing data processing system architecture is provided for the embodiments of the present application.

[0053] Figure 2 A schematic diagram of the flow of an edge computing data processing method is provided for the embodiments of the present application.

[0054] Figure 3 A schematic diagram of an edge computing data selection structure based on cloud programming is provided for the embodiments of the present application.

[0055] Figure 4 A schematic diagram of the flow of another edge computing data processing method is provided for the embodiments of the present application.

[0056] Figure 5 A schematic diagram of the structure of an edge computing data processing device is provided for the embodiments of the present application.

[0057] Figure 6 A schematic diagram of the structure of an edge computing data processing device is provided for the embodiments of the present application.

[0058] The above drawings have shown the specific embodiments of the present disclosure, and will be described in more detail hereinafter. These drawings and textual descriptions are not intended to limit the scope of the present disclosure concept in any way, but to illustrate the concept of the present disclosure to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0059] The exemplary embodiments will be described in detail herein with reference to the attached drawings. In the following description, like reference numerals refer to like elements, unless the context clearly dictates otherwise. The following description of exemplary embodiments is not representative of all possible embodiments consistent with the present disclosure. Instead, they are merely examples of apparatuses and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0060] The terms "first", "second", "third", and "fourth" and the like, if any, in the description and in the claims of the present disclosure, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the use of the terms so termed herein is to be interpreted to overlap with instances of similar elements. Furthermore, the terms "comprising", "having", "including", and "containing" and any variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, system, product, or apparatus that comprises, has, includes or contains a list of elements is not necessarily limited to those elements but can include other elements not expressly listed or inherent to such process, method, system, product, or apparatus.

[0061] Edge computing refers to an open platform that integrates network, computing, storage, and application core capabilities to provide services at the nearest end. Its application is initiated at the edge side, which produces faster network service response and meets the basic needs of real-time business, application intelligence, security and privacy protection. Edge computing is between physical entities and industrial connections, or at the top of physical entities. While cloud computing can still access historical data of edge computing. In the process of industrial digitization, enterprises generally upload enterprise data to the industrial internet platform through standard interface mode. In the data transmission process, some enterprises cannot flexibly choose which data to upload and which data to close; some enterprises can achieve this function, but they are based on configuration or rule library to set data selection function, which requires the development of special configuration library and has poor universality for different data interfaces. In addition, the configuration library and rule library have too much additional information, which is easy to carry viruses and has low security.

[0062] To solve the above problems, the embodiments of the present application provide an edge computing data processing method, device, equipment and storage medium, wherein when the edge computing data processing device, such as edge computing host, uploads data, the executable file of the data to be selected can be obtained in the cloud in advance. After running the executable file, the data open area is set in the system shared memory, the data selection mapping area is read, the open data address is found, and the required data is read in sequence to realize the selection of the data to be uploaded.

[0063] Optionally, Figure 1 An edge computing data processing system architecture schematic diagram is provided for the embodiments of the present application. In Figure 1 In the above-mentioned architecture, the above-mentioned architecture includes at least one of a data acquisition device 101, a processing device 102 and a display device 103.

[0064] It can be understood that the structure illustrated in the embodiments of the present application does not constitute a specific limitation on the edge computing data processing system architecture. In other feasible embodiments of the present application, the above-mentioned architecture can include more or fewer components than the schematic diagram, or combine certain components, or split certain components, or different component arrangement, which can be determined according to the actual application scenario, and is not limited herein. Figure 1 The components shown can be implemented in hardware, software, or a combination of software and hardware.

[0065] In the specific implementation process, the data acquisition device 101 can include an input / output interface and can also include a communication interface.

[0066] The processing device 102 is an edge computing data processing device, for example, an edge computing host. When uploading data, the edge computing host can pre-acquire a data executable file to be selected in the cloud. After running the executable file, a data open area is set in the system shared memory, and then the data selection mapping area is read to find the open data address. The required data is read in sequence to realize the selection of the data to be uploaded.

[0067] It should be understood that the above-mentioned processing device can be implemented by a processor reading instructions in a memory and executing the instructions, or can be implemented by a chip circuit.

[0068] In addition, the network architecture and business scenarios described in the embodiments of the present application are used to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those skilled in the art can know that, with the evolution of network architecture and the appearance of new business scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

[0069] The technical solutions of the present application will be described in detail below in combination with specific embodiments:

[0070] Optionally, Figure 2 A flowchart of an edge computing data processing method is provided for the embodiments of the present application. The execution subject of the embodiments of the present application can be a processor of an edge computing data processing device, and the specific execution subject can be determined according to the actual application scenario. For example, Figure 2 As shown, the method includes the following steps:

[0071] S201: Acquire a data executable file to be selected.

[0072] The to-be-selected data executable file is stored in the cloud.

[0073] Optionally, the to-be-selected data executable file comprises uploading required data and a basic signal point table.

[0074] Optionally, the to-be-selected data executable file is obtained by:

[0075] The to-be-selected data executable file is downloaded through the cloud.

[0076] Here, the embodiment of the present application can download the to-be-selected data executable file in the cloud, reduce the device's own memory, do not need to develop a specific configuration library, have strong universality, have simple implementation, and simplify the steps of edge computing data processing.

[0077] S202: Running the to-be-selected data executable file, reading a data open area, and determining a data selection mapping area.

[0078] S203: Reading the data selection mapping area to obtain an open data address of the to-be-selected data.

[0079] Optionally, Figure 3 A schematic diagram of an edge computing data selection structure based on cloud programming provided by the embodiment of the present application is shown in Figure 3 As shown in the figure, after the edge transmission host runs the executable file, a data open area is set in the system shared memory, then the data selection mapping area is read, the open data address is found, the required data is read in sequence, the basic signal points are matched, and the selected data module content is completed.

[0080] S204: Determining target edge computing data according to the open data address.

[0081] Optionally, the to-be-selected data executable file comprises uploading required data and a basic signal point table.

[0082] Determining target edge computing data according to the open data address comprises:

[0083] Reading data in sequence according to the open data address, and performing basic signal point matching through the basic signal point table to obtain the target edge computing data.

[0084] Here, the to-be-selected data executable file in the embodiment of the present application comprises uploading required data and a basic signal point table, when selecting edge computing data, the required data can be read in sequence, and matching is performed through the basic signal points, so that the data can be efficiently and accurately selected.

[0085] Optionally, after determining the target edge computing data according to the open data address, the method further comprises:

[0086] Uploading target edge computing data to an industrial internet platform.

[0087] Here, the embodiments of the present application can realize automatic selection of data and uploading of data.

[0088] The embodiments of the present application provide an edge computing data processing method. When an edge computing data processing device, such as an edge computing host, uploads data, the edge computing data processing device can pre-obtain a to-be-selected data executable file in the cloud. After running the executable file, the edge computing data processing device sets a data open area in a system shared memory, reads a data selection mapping area, finds an open data address, reads the required data in sequence, and realizes selection of data to be uploaded. In the embodiments of the present application, the to-be-selected data executable file is stored in the cloud and can be dynamically modified in the cloud, which improves the flexibility and expansibility of the to-be-uploaded data signal points, and the executable file has no redundancy and additional information, which reduces the probability of malicious information attachment and improves the program running stability and system security.

[0089] Optionally, the embodiments of the present application can also pre-link the data to be selected and the basic signal point table in the cloud to realize dynamic modification and determination of the executable file, and accordingly, Figure 4 The flowchart of another edge computing data processing method provided by the embodiments of the present application is shown in FIG. 4. Figure 4 The method comprises the following steps.

[0090] S401: Linking the required data and the basic signal point table in the cloud through cloud programming.

[0091] S402: Dynamically generating a to-be-selected data executable file according to the required data and the basic signal point table.

[0092] Optionally, after dynamically generating the to-be-selected data executable file according to the required data and the basic signal point table, the method further comprises: dynamically updating the to-be-selected data executable file according to the to-be-updated required data and the to-be-updated basic signal point table.

[0093] Here, the to-be-selected data executable file in the embodiments of the present application is stored in the cloud and can be dynamically updated and modified, which further improves the flexibility and expansibility of the edge computing data processing and improves the user experience.

[0094] S403: Obtaining the to-be-selected data executable file.

[0095] The to-be-selected data executable file is stored in the cloud.

[0096] S404: Running the to-be-selected data executable file, reading a data open area, and determining a data selection mapping area.

[0097] S405: read the data selection mapping area to obtain the open data address of the data to be selected.

[0098] S406: determine the target edge computing data according to the open data address.

[0099] The implementation manners of steps S403-S406 are similar to those of steps S201-S204, and will not be described here.

[0100] The embodiment of the application can pre-link the data to be selected and the basic signal point table in the cloud through cloud programming, dynamically generate an executable file, download it to an edge transmission host for running, and realize dynamic linking of the selected data module through cloud programming, instead of a non-configuration library or rule library mode, thereby improving the flexibility and expansibility of the signal points, reducing the probability of malicious information attachment, and improving the program running stability and system security.

[0101] Figure 5 A structural schematic diagram of an edge computing data processing apparatus provided by the embodiment of the application is shown in FIG. 1, which includes an acquisition module 501, a first processing module 502, a second processing module 503, and a determination module 504. Figure 5 The edge computing data processing apparatus can be a processor itself or a chip or integrated circuit implementing the function of the processor. It should be noted that the division of the acquisition module 501, the first processing module 502, the second processing module 503, and the determination module 504 is only a logical division, and they can be integrated or independent physically.

[0102] The acquisition module is configured to acquire a to-be-selected data executable file, wherein the to-be-selected data executable file is stored in the cloud.

[0103] The first processing module is configured to run the to-be-selected data executable file, read a data open area, and determine a data selection mapping area.

[0104] The second processing module is configured to read the data selection mapping area to obtain an open data address of the data to be selected.

[0105] The determination module is configured to determine target edge computing data according to the open data address.

[0106] Optionally, the to-be-selected data executable file includes uploaded required data and a basic signal point table.

[0107] The determination module is specifically configured to:

[0108] read data in sequence according to the open data address, and perform basic signal point matching through the basic signal point table to obtain the target edge computing data.

[0109] Optionally, the obtaining module is specifically configured to:

[0110] The to-be-selected data executable file is downloaded through the cloud.

[0111] Optionally, before the obtaining module obtains the to-be-selected data executable file, the apparatus further includes:

[0112] a third processing module, specifically configured to: upload the required data and the basic signal point table to the cloud through a cloud programming mode; and dynamically generate the to-be-selected data executable file according to the uploaded required data and the basic signal point table.

[0113] Optionally, after the third processing module dynamically generates the to-be-selected data executable file according to the uploaded required data and the basic signal point table, the apparatus further includes:

[0114] dynamically update the to-be-selected data executable file according to the to-be-updated uploaded required data and the to-be-updated basic signal point table.

[0115] Optionally, after the determining module determines the target edge computing data according to the open data address, the apparatus further includes:

[0116] an uploading module, configured to upload the target edge computing data to the industrial internet platform.

[0117] Figure 6 A structural schematic diagram of an edge computing data processing device provided by an embodiment of the present application is provided, which can be the processing device 102 in Figure 1 The components shown herein, their connections and relationships, and their functions, are merely examples and do not limit the implementation of the present application described herein and / or claimed herein.

[0118] As shown in Figure 6 , the edge computing data processing device includes a processor 601 and a memory 602, and each component is connected to each other by different buses and can be installed on a common motherboard or in other ways as needed. The processor 601 can process instructions executed in the edge computing data processing device, including instructions stored in the memory or memory to display graphical information on external input / output devices such as display devices coupled to the interface. In other embodiments, if necessary, multiple processors and / or multiple buses can be used with multiple memories and multiple memories. Figure 6 In

[0119] The memory 602, as a non-transitory computer readable storage medium, can be used to store non-transitory software programs, non-transitory computer executable programs and modules, such as program instructions / modules corresponding to the method of the edge computing data processing device in the embodiments of the present application (for example, the edge computing data processing device shown in FIG. 5 includes an obtaining module 501, a first processing module 502, a second processing module 503 and a determining module 504). The processor 601 executes various function applications and edge computing data processing methods by running the non-transitory software programs, instructions and modules stored in the memory 602, that is, implements the method of the edge computing data processing device in the above method embodiments. Figure 5 The processor 601 executes various function applications and edge computing data processing methods by running the non-transitory software programs, instructions and modules stored in the memory 602, that is, implements the method of the edge computing data processing device in the above method embodiments.

[0120] The edge computing data processing device can further include an input device 603 and an output device 604. The processor 601, the memory 602, the input device 603 and the output device 604 can be connected through a bus or other means, Figure 6 For example, the bus connection is taken as an example.

[0121] The input device 603 can receive input digital or character information, and generate key signal input related to user settings and function control of the edge computing data processing device, such as touch screen, keypad, mouse, or multiple mouse buttons, trackball, joystick, etc. The output device 604 can be a display device of the edge computing data processing device and other output devices. The display device can include but is not limited to liquid crystal display (LCD), light emitting diode (LED) display and plasma display. In some embodiments, the display device can be a touch screen.

[0122] The edge computing data processing device in the embodiments of the present application can be used to execute the technical solutions in the above method embodiments of the present application, and the implementation principles and technical effects are similar, which will not be repeated here.

[0123] The embodiments of the present application also provide a computer readable storage medium, which stores computer execution instructions, and the computer execution instructions are used to implement any one of the above edge computing data processing methods when executed by a processor.

[0124] The embodiments of the present application also provide a computer program product, which includes a computer program, and the computer program is used to implement any one of the above edge computing data processing methods when executed by a processor.

[0125] In several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of units is merely a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0126] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0127] Other embodiments of the present disclosure will be apparent to those skilled in the art upon consideration of the specification and practice of the present disclosure. The present application is intended to cover any variations, uses or adaptations of the present disclosure following the general principles thereof and including such departures from the present disclosure that come within known, accepted, or customary bounds of the art. The specification and examples are to be regarded as illustrative only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0128] It should be understood that the present disclosure is not limited to the precise structures as already described and shown in the drawings, and that various modifications and changes can be made without departing from its scope. The scope of the present disclosure is limited only by the claims that follow.

Claims

1. An edge computing data processing method, characterized by, The method is applied to an edge computer and comprises the following steps: Through cloud programming, uploading required data and a basic signal point table to a cloud link; causing the cloud to dynamically generate a to-be-selected data executable file according to the uploaded required data and the basic signal point table; and causing the cloud to dynamically update the to-be-selected data executable file according to to-be-updated uploaded required data and to-be-updated basic signal point table; Through the cloud, downloading the updated to-be-selected data executable file; Running the updated to-be-selected data executable file to read a data open area and determine a data selection mapping area; and reading the data selection mapping area to obtain an open data address of to-be-selected data; According to the open data address, sequentially reading data in the data open area and performing basic signal point matching through the basic signal point table to obtain target edge computing data.

2. The method of claim 1, wherein, After the target edge computing data is determined according to the open data address, the method further comprises the following steps: Uploading the target edge computing data to an industrial internet platform.

3. An edge computing data processing apparatus, characterized by, The device is applied to an edge computer and comprises the following steps: An acquisition module is configured to download a to-be-selected data executable file through a cloud, wherein the to-be-selected data executable file is stored in the cloud, and the to-be-selected data executable file comprises uploaded required data and a basic signal point table; A first processing module is configured to run the updated to-be-selected data executable file to read a data open area and determine a data selection mapping area; A second processing module is configured to read the data selection mapping area to obtain an open data address of to-be-selected data; A determination module is configured to sequentially read data in the data open area according to the open data address and perform basic signal point matching through the basic signal point table to obtain target edge computing data; A third processing module is configured to upload required data and a basic signal point table to a cloud link through cloud programming; dynamically generate a to-be-selected data executable file according to uploaded required data and a basic signal point table; and dynamically update the to-be-selected data executable file according to to-be-updated uploaded required data and to-be-updated basic signal point table.

4. An edge computing data processing device, characterized by, comprise: at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the edge computing data processing method of claim 1 or 2.

5. A computer readable storage medium, characterized in that, The computer readable storage medium stores computer execution instructions, and the computer execution instructions are executed by the processor to implement the edge computing data processing method of claim 1 or 2.

6. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the edge computing data processing method of claim 1 or 2.

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