A comprehensive data processing method for e-commerce ecological management system

Abstract

The present invention relates to the field of data processing and analysis of e-commerce ecological management systems, and in particular to a comprehensive data processing method for e-commerce ecological management systems, comprising: obtaining data analysis features of comprehensive data based on the e-commerce ecological management system; obtaining real-time data basic analysis features of the comprehensive data based on the data analysis features; and obtaining comprehensive data processing results using the real-time data basic analysis features to achieve efficient data processing and intelligent decision support. In terms of risk problem analysis, the system needs to identify and evaluate potential data circulation risks within the system to resist malicious network attacks or human errors, and at the same time mark the problem locations that need to be traced and verified.

Description

Technical Field

[0001] The present invention relates to the field of data processing and analysis of e-commerce ecological management systems, and in particular to a comprehensive data processing method for e-commerce ecological management systems. Background Art

[0002] In the current context of global economic integration, the cross-border e-commerce industry is developing rapidly, and the construction of an integrated e-commerce ecosystem management system has also attracted considerable attention. Through system definition, risk issues, evolution mechanisms, driving forces, and construction recommendations, this system enables the interoperability of online and offline data analysis results, providing a one-stop, integrated service for overall e-commerce operations. Traditional solutions for e-commerce ecosystem management systems have a relatively simple data processing approach and are unable to provide comprehensive, process-based monitoring and analysis of different data categories within the system. Summary of the Invention

[0003] In response to the shortcomings of the existing technology, the present invention provides a comprehensive data processing method for an e-commerce ecosystem management system. By extracting relevant features of e-commerce operations within the system, it provides strong support for subsequent data analysis, improvement and optimization, and ultimate traceability verification.

[0004] To achieve the above objectives, the present invention provides a comprehensive data processing method for an e-commerce ecosystem management system, comprising:

[0005] S1. Data analysis features for obtaining comprehensive data based on the e-commerce ecosystem management system;

[0006] S2. Obtaining real-time data basic analysis features of the comprehensive data based on the data analysis features;

[0007] S3. Obtain comprehensive data processing results using the real-time data basic analysis features.

[0008] Preferably, the data analysis features of the comprehensive data obtained based on the e-commerce ecological management system include:

[0009] Based on the e-commerce ecological management system, the e-commerce registration address, product classification data and order data are obtained respectively;

[0010] Based on the e-commerce ecological management system, the time when the uplink data occurs and the time when the downlink data occurs are obtained respectively;

[0011] Obtain the cloud IP address and local IP address based on the e-commerce ecosystem management system;

[0012] Using the e-commerce registration address, product classification data and order data as e-commerce operation data;

[0013] Utilize the time when the uplink data occurs and the time when the downlink data occurs as e-commerce system data;

[0014] Utilize the cloud IP address and local IP address as e-commerce communication data;

[0015] Utilizing the e-commerce operation data, e-commerce system data, and e-commerce communication data as comprehensive data;

[0016] The data types corresponding to the comprehensive data are respectively obtained as data analysis features of the comprehensive data.

[0017] Furthermore, the real-time data basic analysis features of the comprehensive data obtained according to the data analysis features include:

[0018] S2-1. Establishing a real-time bidirectional data flow of comprehensive data using the data analysis features;

[0019] S2-2. Obtain real-time data basic analysis features of the comprehensive data according to the real-time bidirectional data flow.

[0020] Furthermore, establishing a real-time bidirectional data flow of comprehensive data using the data analysis feature includes:

[0021] Utilizing the data analysis feature to obtain corresponding uplink data and downlink data, respectively establishing a basic uplink data flow and a basic downlink data flow;

[0022] Using the basic uplink data flow to establish an uplink data flow monitoring starting point based on the e-commerce system data of the data analysis characteristics;

[0023] Using the basic downstream data flow to establish a downstream data flow monitoring starting point based on the e-commerce system data of the data analysis characteristics;

[0024] Acquire a corresponding upstream data flow monitoring end point according to the upstream data flow monitoring start point;

[0025] Acquire a corresponding downlink data flow monitoring end point according to the downlink data flow monitoring start point;

[0026] Obtaining the uplink data flow duration using the uplink data flow monitoring start point and the uplink data flow monitoring end point;

[0027] Obtaining the downlink data flow duration using the downlink data flow monitoring start point and the downlink data flow monitoring end point;

[0028] The basic uplink data flow, the basic downlink data flow, the uplink data flow duration and the downlink data flow duration are used as a real-time bidirectional data flow of comprehensive data.

[0029] Furthermore, the real-time data basic analysis features of the comprehensive data obtained based on the real-time bidirectional data flow include:

[0030] S2-2-1. Obtain the traffic value corresponding to the e-commerce operation data;

[0031] S2-2-2. Determine whether the traffic value corresponding to the e-commerce operation data is consistent with the traffic value corresponding to the real-time bidirectional data flow. If so, the real-time data basic analysis feature is empty. Otherwise, execute S2-2-3.

[0032] S2-2-3. Determine whether the terminal IP address corresponding to the e-commerce operation data and the e-commerce communication data corresponding to the real-time two-way data flow are consistent. If so, use the inconsistency between the flow rate value corresponding to the e-commerce operation data and the flow rate value corresponding to the real-time two-way data flow as a basic analysis feature of the real-time data. Otherwise, use the terminal IP address and the e-commerce communication data as the basic analysis feature of the real-time data.

[0033] The terminal IP address includes a cloud IP address and a local IP address.

[0034] Furthermore, the comprehensive data processing results obtained by utilizing the real-time data basic analysis features include:

[0035] S3-1. Perform verification processing using the basic analysis features of the real-time data to obtain an initial verification processing result of the comprehensive data;

[0036] S3-2. Performing a review process based on the initial verification process result of the comprehensive data to obtain a traceability process result of the comprehensive data;

[0037] S3-3. Utilize the traceability processing result of the comprehensive data as the comprehensive data processing result.

[0038] Furthermore, the initial verification processing results of the comprehensive data obtained by performing verification processing using the real-time data basic analysis features include:

[0039] S3-1-1, determine whether the real-time data basic analysis feature is empty, if so, the initial verification processing result is empty, otherwise, execute S3-1-2;

[0040] S3-1-2, determine whether the real-time data basic analysis feature corresponds to the data, if so, execute S3-1-3, otherwise, directly execute S3-1-5;

[0041] S3-1-3, determining whether the sending IP address corresponding to the real-time data basic analysis feature is a cloud IP address; if so, executing S3-1-4; otherwise, using the real-time data basic analysis feature as undelivered data, outputting the initial verification processing result of the comprehensive data;

[0042] S3-1-4. Determine whether the port communication protocol corresponding to the real-time data basic analysis feature is consistent with the port communication protocol corresponding to the e-commerce communication data. If so, use the real-time data basic analysis feature as the undelivered data and output the initial verification processing result of the comprehensive data. Otherwise, the initial verification processing result is empty.

[0043] S3-1-5, determine whether there is a historical data transmission record for the terminal IP address at the current moment, if so, execute S3-1-6, otherwise, the initial verification processing result is empty;

[0044] S3-1-6. Determine whether the historical data transmission record corresponding to the terminal IP address corresponds to the historical data transmission record corresponding to the e-commerce communication data. If so, use the terminal IP address as the updated IP address and output the initial verification processing result of the comprehensive data. Otherwise, the initial verification processing result is empty.

[0045] Furthermore, the tracing processing result of the comprehensive data obtained by performing a review process based on the initial verification processing result of the comprehensive data includes:

[0046] S3-2-1. Determine whether the initial verification processing result of the comprehensive data is empty. If so, abandon the review process and the traceability processing result is empty. Otherwise, execute S3-2-2;

[0047] S3-2-2, determine whether the initial verification processing result of the comprehensive data is undelivered data, if so, execute S3-2-3, otherwise, execute S3-2-4;

[0048] S3-2-3. Determine whether the initial verification processing result of the comprehensive data corresponds to the e-commerce operation data. If so, the traceability processing result is data missing, and the initial verification processing result corresponds to the undelivered data. Otherwise, the traceability processing result is invalid data.

[0049] S3-2-4. Determine whether the starting time corresponding to the initial verification processing result of the comprehensive data is later than the ending time corresponding to the e-commerce system data. If so, the tracing processing result is an IP address update, and the updated IP address corresponding to the initial verification processing result is output. Otherwise, the tracing processing result is an invalid IP address.

[0050] Compared with the closest prior art, the present invention has the following beneficial effects:

[0051] Building an integrated e-commerce ecosystem management system requires not only a deep understanding of the characteristics and needs of the e-commerce industry but also the integration of modern information technology to achieve efficient data processing and intelligent decision-making support. Furthermore, the system should be highly flexible and scalable to adapt to the ever-changing market environment and business needs. Regarding risk analysis, the system must identify and assess potential risks to data flow within the system to mitigate issues such as malicious cyberattacks or human error, while also marking the locations of issues requiring traceability and verification. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a flow chart of a comprehensive data processing method for an e-commerce ecological management system provided by the present invention. DETAILED DESCRIPTION

[0053] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0054] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0055] Example 1:

[0056] The present invention provides a comprehensive data processing method for an e-commerce ecological management system, such as Figure 1 As shown, including:

[0057] S1. Data analysis features for obtaining comprehensive data based on the e-commerce ecosystem management system;

[0058] S2. Obtaining real-time data basic analysis features of the comprehensive data based on the data analysis features;

[0059] S3. Obtain comprehensive data processing results using the real-time data basic analysis features.

[0060] S1 specifically includes:

[0061] S1-1. Obtain the e-commerce registration address, product classification data, and order data based on the e-commerce ecosystem management system;

[0062] S1-2. Obtain the time when the uplink data occurs and the time when the downlink data occurs based on the e-commerce ecosystem management system;

[0063] S1-3. Obtain the cloud IP address and local IP address based on the e-commerce ecosystem management system;

[0064] S1-4. Using the e-commerce registration address, product classification data, and order data as e-commerce operation data;

[0065] S1-5. Using the time when the uplink data occurs and the time when the downlink data occurs as e-commerce system data;

[0066] S1-6. Using the cloud IP address and the local IP address as e-commerce communication data;

[0067] S1-7. Using the e-commerce operation data, e-commerce system data, and e-commerce communication data as comprehensive data;

[0068] S1-8. Obtain data types corresponding to the comprehensive data as data analysis features of the comprehensive data.

[0069] S2 specifically includes:

[0070] S2-1. Establishing a real-time bidirectional data flow of comprehensive data using the data analysis features;

[0071] S2-2. Obtain real-time data basic analysis features of the comprehensive data according to the real-time bidirectional data flow.

[0072] S2-1 specifically includes:

[0073] S2-1-1. Utilize the data analysis features to obtain corresponding uplink data and downlink data, and establish a basic uplink data flow and a basic downlink data flow, respectively;

[0074] S2-1-2. Establish an uplink data flow monitoring starting point based on the e-commerce system data with data analysis characteristics using the basic uplink data flow;

[0075] S2-1-3. Establish a downlink data flow monitoring starting point based on the e-commerce system data with data analysis characteristics using the basic downlink data flow;

[0076] S2-1-4. Obtaining a corresponding upstream data flow monitoring end point according to the upstream data flow monitoring start point;

[0077] S2-1-5. Obtain a corresponding downlink data flow monitoring end point according to the downlink data flow monitoring start point;

[0078] S2-1-6. Obtain the uplink data flow duration using the uplink data flow monitoring start point and the uplink data flow monitoring end point;

[0079] S2-1-7. Obtain the downlink data flow duration using the downlink data flow monitoring start point and the downlink data flow monitoring end point;

[0080] S2-1-8. Utilize the basic uplink data flow, basic downlink data flow, uplink data flow duration and downlink data flow duration as a real-time bidirectional data flow of comprehensive data.

[0081] S2-2 specifically includes:

[0082] S2-2-1. Obtain the traffic value corresponding to the e-commerce operation data;

[0083] S2-2-2. Determine whether the traffic value corresponding to the e-commerce operation data is consistent with the traffic value corresponding to the real-time bidirectional data flow. If so, the real-time data basic analysis feature is empty. Otherwise, execute S2-2-3.

[0084] S2-2-3. Determine whether the terminal IP address corresponding to the e-commerce operation data and the e-commerce communication data corresponding to the real-time two-way data flow are consistent. If so, use the inconsistency between the flow rate value corresponding to the e-commerce operation data and the flow rate value corresponding to the real-time two-way data flow as a basic analysis feature of the real-time data. Otherwise, use the terminal IP address and the e-commerce communication data as the basic analysis feature of the real-time data.

[0085] The terminal IP address includes a cloud IP address and a local IP address.

[0086] S3 specifically includes:

[0087] S3-1. Perform verification processing using the basic analysis features of the real-time data to obtain an initial verification processing result of the comprehensive data;

[0088] S3-2. Performing a review process based on the initial verification process result of the comprehensive data to obtain a traceability process result of the comprehensive data;

[0089] S3-3. Utilize the traceability processing result of the comprehensive data as the comprehensive data processing result.

[0090] S3-1 specifically includes:

[0091] S3-1-1, determine whether the real-time data basic analysis feature is empty, if so, the initial verification processing result is empty, otherwise, execute S3-1-2;

[0092] S3-1-2, determine whether the real-time data basic analysis feature corresponds to the data, if so, execute S3-1-3, otherwise, directly execute S3-1-5;

[0093] S3-1-3, determining whether the sending IP address corresponding to the real-time data basic analysis feature is a cloud IP address; if so, executing S3-1-4; otherwise, using the real-time data basic analysis feature as undelivered data, outputting the initial verification processing result of the comprehensive data;

[0094] S3-1-4. Determine whether the port communication protocol corresponding to the real-time data basic analysis feature is consistent with the port communication protocol corresponding to the e-commerce communication data. If so, use the real-time data basic analysis feature as the undelivered data and output the initial verification processing result of the comprehensive data. Otherwise, the initial verification processing result is empty.

[0095] S3-1-5, determine whether there is a historical data transmission record for the terminal IP address at the current moment, if so, execute S3-1-6, otherwise, the initial verification processing result is empty;

[0096] S3-1-6. Determine whether the historical data transmission record corresponding to the terminal IP address corresponds to the historical data transmission record corresponding to the e-commerce communication data. If so, use the terminal IP address as the updated IP address and output the initial verification processing result of the comprehensive data. Otherwise, the initial verification processing result is empty.

[0097] S3-2 specifically includes:

[0098] S3-2-1. Determine whether the initial verification processing result of the comprehensive data is empty. If so, abandon the review process and the traceability processing result is empty. Otherwise, execute S3-2-2;

[0099] S3-2-2, determine whether the initial verification processing result of the comprehensive data is undelivered data, if so, execute S3-2-3, otherwise, execute S3-2-4;

[0100] S3-2-3. Determine whether the initial verification processing result of the comprehensive data corresponds to the e-commerce operation data. If so, the traceability processing result is data missing, and the initial verification processing result corresponds to the undelivered data. Otherwise, the traceability processing result is invalid data.

[0101] S3-2-4. Determine whether the starting time corresponding to the initial verification processing result of the comprehensive data is later than the ending time corresponding to the e-commerce system data. If so, the tracing processing result is an IP address update, and the updated IP address corresponding to the initial verification processing result is output. Otherwise, the tracing processing result is an invalid IP address.

[0102] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0103] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0104] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0105] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0106] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A comprehensive data processing method for an e-commerce ecological management system, characterized in that: include: S1. Data analysis features for obtaining comprehensive data based on the e-commerce ecosystem management system; The data analysis features of the comprehensive data obtained based on the e-commerce ecosystem management system include: Based on the e-commerce ecological management system, the e-commerce registration address, product classification data and order data are obtained respectively; Based on the e-commerce ecological management system, the time when the uplink data occurs and the time when the downlink data occurs are obtained respectively; Obtain the cloud IP address and local IP address based on the e-commerce ecosystem management system; Using the e-commerce registration address, product classification data and order data as e-commerce operation data; Utilize the time when the uplink data occurs and the time when the downlink data occurs as e-commerce system data; Utilize the cloud IP address and local IP address as e-commerce communication data; Utilizing the e-commerce operation data, e-commerce system data, and e-commerce communication data as comprehensive data; respectively obtaining data types corresponding to the comprehensive data as data analysis features of the comprehensive data; S2. Obtaining real-time data basic analysis features of the comprehensive data based on the data analysis features; S2-1. Establishing a real-time bidirectional data flow of comprehensive data using the data analysis features; S2-2, obtaining real-time data basic analysis features of comprehensive data based on the real-time bidirectional data stream; The real-time data basic analysis features of the comprehensive data obtained from the real-time bidirectional data flow include: S2-2-1. Obtain the traffic value corresponding to the e-commerce operation data; S2-2-2. Determine whether the traffic value corresponding to the e-commerce operation data is consistent with the traffic value corresponding to the real-time bidirectional data flow. If so, the real-time data basic analysis feature is empty. Otherwise, execute S2-2-3. S2-2-3. Determine whether the terminal IP address corresponding to the e-commerce operation data and the e-commerce communication data corresponding to the real-time two-way data flow are consistent. If so, use the inconsistency between the flow rate value corresponding to the e-commerce operation data and the flow rate value corresponding to the real-time two-way data flow as a basic analysis feature of the real-time data. Otherwise, use the terminal IP address and the e-commerce communication data as the basic analysis feature of the real-time data. The terminal IP address includes the cloud IP address and the local IP address; S3. Obtaining comprehensive data processing results using the real-time data basic analysis features; The comprehensive data processing results obtained by utilizing the real-time data basic analysis features include: S3-1. Perform verification processing using the basic analysis features of the real-time data to obtain an initial verification processing result of the comprehensive data; S3-2. Performing a review process based on the initial verification process result of the comprehensive data to obtain a traceability process result of the comprehensive data; S3-3. Utilize the traceability processing result of the comprehensive data as the comprehensive data processing result.

2. A comprehensive data processing method for an e-commerce ecological management system according to claim 1, characterized in that: Utilizing the data analysis features to establish a real-time bidirectional data flow of comprehensive data includes: Utilizing the data analysis feature to obtain corresponding uplink data and downlink data, respectively establishing a basic uplink data flow and a basic downlink data flow; Using the basic uplink data flow to establish an uplink data flow monitoring starting point based on the e-commerce system data of the data analysis characteristics; Using the basic downstream data flow to establish a downstream data flow monitoring starting point based on the e-commerce system data of the data analysis characteristics; Acquire a corresponding upstream data flow monitoring end point according to the upstream data flow monitoring start point; Acquire a corresponding downlink data flow monitoring end point according to the downlink data flow monitoring start point; Obtaining the uplink data flow duration using the uplink data flow monitoring start point and the uplink data flow monitoring end point; Obtaining the downlink data flow duration using the downlink data flow monitoring start point and the downlink data flow monitoring end point; The basic uplink data flow, the basic downlink data flow, the uplink data flow duration and the downlink data flow duration are used as a real-time bidirectional data flow of comprehensive data.

3. A comprehensive data processing method for an e-commerce ecological management system according to claim 1, characterized in that: The initial verification processing results of the comprehensive data obtained by performing verification processing using the real-time data basic analysis characteristics include: S3-1-1, determine whether the real-time data basic analysis feature is empty, if so, the initial verification processing result is empty, otherwise, execute S3-1-2; S3-1-2, determine whether the real-time data basic analysis feature corresponds to the data, if so, execute S3-1-3, otherwise, directly execute S3-1-5; S3-1-3, determining whether the sending IP address corresponding to the real-time data basic analysis feature is a cloud IP address; if so, executing S3-1-4; otherwise, using the real-time data basic analysis feature as undelivered data, outputting the initial verification processing result of the comprehensive data; S3-1-4. Determine whether the port communication protocol corresponding to the real-time data basic analysis feature is consistent with the port communication protocol corresponding to the e-commerce communication data. If so, use the real-time data basic analysis feature as the undelivered data and output the initial verification processing result of the comprehensive data. Otherwise, the initial verification processing result is empty. S3-1-5, determine whether there is a historical data transmission record for the terminal IP address at the current moment, if so, execute S3-1-6, otherwise, the initial verification processing result is empty; S3-1-6. Determine whether the historical data transmission record corresponding to the terminal IP address corresponds to the historical data transmission record corresponding to the e-commerce communication data. If so, use the terminal IP address as the updated IP address and output the initial verification processing result of the comprehensive data. Otherwise, the initial verification processing result is empty.

4. A comprehensive data processing method for an e-commerce ecological management system according to claim 3, characterized in that: The traceability processing results of the comprehensive data obtained by performing a review process based on the initial verification processing results of the comprehensive data include: S3-2-1. Determine whether the initial verification processing result of the comprehensive data is empty. If so, abandon the review process and the traceability processing result is empty. Otherwise, execute S3-2-2; S3-2-2, determine whether the initial verification processing result of the comprehensive data is undelivered data, if so, execute S3-2-3, otherwise, execute S3-2-4; S3-2-3. Determine whether the initial verification processing result of the comprehensive data corresponds to the e-commerce operation data. If so, the traceability processing result is data missing, and the initial verification processing result corresponds to the undelivered data. Otherwise, the traceability processing result is invalid data. S3-2-4. Determine whether the starting time corresponding to the initial verification processing result of the comprehensive data is later than the ending time corresponding to the e-commerce system data. If so, the tracing processing result is an IP address update, and the updated IP address corresponding to the initial verification processing result is output. Otherwise, the tracing processing result is an invalid IP address.

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