Work meeting member information input method and system based on big data

Abstract

The invention provides a work meeting member information input method and system based on big data, and relates to the technical field of work meeting information management, and the method comprises the steps: forming work meeting member cross-platform information interaction data based on operation records, historical information submission records and consultation feedback contents of work meeting members in all work meeting channels; collecting paper character information and electronic display information submitted by the work meeting member through an offline window, and converting the information into offline member information and online member information submitted by the work meeting member through each work meeting channel; and performing data optimization processing, priority judgment, identification distribution processing and integration verification on the online member information and the offline member information according to the member operation time and the information auditing state in the work meeting member cross-platform information interaction data to generate final work meeting member information. Intelligent optimization integration and traceable management of work meeting member information are realized, and the accuracy, consistency and auditing performance of information input are improved.

Description

Technical Field

[0001] This application relates to the field of trade union information management technology, and in particular to a method and system for inputting trade union member information based on big data. Background Technology

[0002] As trade union organizations continue their digital transformation, member information management is gradually evolving from a decentralized, regional model to a centralized management model that spans multiple platforms and channels. In practice, trade union members submit personal information through online channels such as official applications, WeChat mini-programs, and web pages, while a large number of members still rely on offline service windows to complete registration or update procedures, resulting in highly heterogeneous information sources and diverse data formats.

[0003] Currently, some trade union management systems have introduced data fusion technology based on rule engines. This technology standardizes structured data from online platforms and offline scanned text information through pre-defined field matching logic and data cleaning rules. It also utilizes optical character recognition (OCR) technology to convert paper forms into processable text content and combines a fixed timestamp priority strategy to perform preliminary comparison and merging of information submitted by the same member through different channels. The system completes the initial integration of information based on pre-defined weight rules and prevents duplicate entry through database unique key constraints. However, existing solutions exhibit significant limitations when facing complex interactive behaviors and dynamic information updates. For example, because they rely on static rules for information judgment, the system cannot effectively identify the operational correlations between members across multiple channels, leading to version inconsistencies or omissions of the latest valid content during the information merging process. Furthermore, fixed priority strategies are difficult to adapt to the flexible needs of different business scenarios, potentially incorrectly covering highly reliable offline confirmation information or ignoring user intent reflected in high-frequency online interactions. Summary of the Invention

[0004] The purpose of this application is to provide a method and system for entering union member information based on big data, in order to solve the problems in the existing technology, such as the inability to accurately identify the cross-channel operation correlation of members, the easy occurrence of version errors or omission of the latest valid content when merging information; difficulty in adapting to diverse business scenarios; and the possibility of accidentally deleting high-credibility data or ignoring the user's true intentions.

[0005] To address the aforementioned technical problems, firstly, this application provides a method for inputting union member information based on big data, comprising:

[0006] Based on union members’ operation records, historical information submission records and consultation feedback on various union channels, cross-platform information exchange data of union members is formed.

[0007] Collect paper and electronic information submitted by union members through offline windows, as well as online membership information submitted by union members through various union channels, and convert the paper and electronic information into offline membership information;

[0008] Based on the member operation time and information review status in the cross-platform information interaction data of union members, the online member information and the offline member information are optimized and prioritized to obtain the target online member information and the target offline member information.

[0009] Assign corresponding member identity identifiers to the target online member information and target offline member information to obtain the assigned online member information and the assigned offline member information. At the same time, assign online traceability identifiers to the assigned online member information and offline traceability identifiers to the assigned offline member information.

[0010] Based on the member identity identifiers, online traceability identifiers, and offline traceability identifiers of the allocated online and offline member information, the allocated online and offline member information is associated, integrated, and verified to generate the final union member information.

[0011] Optionally, based on the member identity identifiers, online traceability identifiers, and offline traceability identifiers of the allocated online and offline member information, the allocated online and offline member information are associated, integrated, and verified to generate final union member information, including:

[0012] The online and offline member information after allocation with the same member identity are classified to obtain the information to be integrated for the same union member.

[0013] The member information fields of the online member information and the offline member information after allocation in each group of information to be integrated are compared to mark the information differences that are inconsistent between the online member information and the offline member information after allocation. The member information fields include name, contact information and the union branch to which they belong.

[0014] Compare the online and offline traceability identifiers in each group of information to be integrated to determine the reliability of the information source for each information difference item;

[0015] Retain the target information difference items in each group of information to be integrated whose information source reliability is higher than the preset reliability. At the same time, add the target information supplementary description or manual review mark to the information source reliability of the supplementary difference items that are lower than or equal to the preset reliability, so as to generate the information difference item content corresponding to each group of information to be integrated.

[0016] The consistent information of members with the same member information field in each group of information to be integrated and the content of the information difference items are integrated to form the integrated member information of the same union member. All integrated member information is classified and stored according to member identity identifier to generate the final union member information.

[0017] Optionally, the online and offline traceability identifiers in each set of information to be integrated are compared to determine the reliability of the information source for each information difference item, including:

[0018] The online information collection channels in the online traceability identifier and the offline information collection channels in the offline traceability identifier of each group of information to be integrated are compared to determine the channel reliability score of the allocated online member information and the allocated offline member information. The scoring criteria for the channel reliability score include the existence of system automatic trace information in the online information collection channels, and the system automatic trace information includes the information submission time and the submission device identifier; and the existence of paper record archives in the offline information collection channels, and the paper record archives include member confirmation signatures.

[0019] Calculate the first time interval between the online identifier allocation time and the information verification time in each group of information to be integrated, and the second time interval between the offline identifier allocation time and the information verification time. Based on the first time interval and the second time interval, determine the information timeliness score of the allocated online member information and the allocated offline member information.

[0020] Based on the operation permission levels corresponding to the online and offline operator information in each group of information to be integrated, determine the operation credibility scores of the allocated online and offline member information.

[0021] The channel reliability score, information timeliness score, and operation credibility score corresponding to the allocated online member information and the allocated offline member information are weighted and summed to obtain the comprehensive score corresponding to the allocated online member information and the allocated offline member information, so as to determine the information source reliability of each information difference item based on the comprehensive score.

[0022] Optionally, retain the target information discrepancies in each group of information to be integrated whose source reliability is higher than a preset reliability. Simultaneously, add supplementary descriptions or manual verification marks to the discrepancies whose source reliability is lower than or equal to the preset reliability, to generate the information discrepancy content for each group of information to be integrated, including:

[0023] In each group of information to be integrated, information differences with a source reliability higher than a preset reliability are marked as target information differences, and information differences with a source reliability lower than or equal to a preset reliability are marked as differences to be supplemented.

[0024] Based on the allocated online or offline member information to which the difference to be supplemented belongs, and the online or offline operator information associated with the difference to be supplemented, determine the target operator account.

[0025] Based on the target operator's account, the target information supplementary description associated with the member information field of the difference to be supplemented is retrieved from the information supplementary description records pre-stored in the trade union information management system. If the target information supplementary description is found, it is added to the associated field corresponding to the original content of the difference to be supplemented to form a combined difference content. If the target information supplementary description is not found, a mark requiring manual review is added to the associated field corresponding to the original content of the difference to be supplemented to obtain the difference content after adding the mark.

[0026] The original content of the target information difference item, the combined difference item content, and the difference item content after adding the mark are integrated to form the information difference item content corresponding to each group of information to be integrated.

[0027] Optionally, based on the member operation time and information review status in the cross-platform information interaction data of union members, the online member information and the offline member information are subjected to data optimization processing and priority determination to obtain target online member information and target offline member information, including:

[0028] The member operation time and information review status are extracted from the cross-platform information interaction data of the union members, and the member operation time and information review status are respectively marked to the corresponding online member information and offline member information to form online member information to be processed and offline member information to be processed.

[0029] Based on the original identity information of the online and offline members to be processed, the online and offline members to be processed corresponding to the same member are classified to obtain multiple sets of information to be processed for the same member.

[0030] Retain information in each set of pending information where the time interval between the member's operation time and the information processing time during the data optimization process is less than a preset time interval. At the same time, remove information in each set of pending information where the information review status is "not approved". This will yield optimized online member information and optimized offline member information.

[0031] Assess the priority levels of the optimized online member information and the optimized offline member information, and determine the priority of the optimized online member information and the optimized offline member information within the same priority level to obtain the graded online member information and the graded offline member information.

[0032] The highest priority online member information after grading is selected as the target online member information, and the highest priority offline member information after grading is selected as the target offline member information.

[0033] Optionally, corresponding member identity identifiers are assigned to the target online member information and target offline member information to obtain the assigned online member information and assigned offline member information, including:

[0034] The original identity information of the target online member information and the target offline member information is standardized in format to obtain standardized identity information.

[0035] Retrieve member identity identifiers stored in the pre-built union member information database. If a stored member identity identifier that matches the standardized identity information exists, then assign the stored member identity identifier to the corresponding target online member information and target offline member information respectively to obtain the assigned online member information and the assigned offline member information.

[0036] If no stored member identity identifier matches the standardized identity information, a unique member identity identifier is generated based on the key fields in the standardized identity information and in combination with the preset unique coding rules. The unique member identity identifier is then assigned to the corresponding target online member information and target offline member information to obtain the assigned online member information and the assigned offline member information.

[0037] Optionally, assigning an online traceability identifier to the allocated online member information and assigning an offline traceability identifier to the allocated offline member information includes:

[0038] Based on the channel identifier in the allocated online member information, the online information collection channel corresponding to the allocated online member information is determined. At the same time, based on the receiving channel identifier in the offline window record associated with the allocated offline member information, the offline information collection channel corresponding to the allocated offline member information is determined.

[0039] The time when the online member information is assigned a member identity identifier is taken as the online identifier assignment time, and the time when the offline member information is assigned a member identity identifier is taken as the offline identifier assignment time. The operator account that performs the member identity identifier assignment operation is associated with the corresponding online member information and offline member information after the assignment, respectively, to obtain online operator information and offline operator information.

[0040] Based on the online information collection channels, online identifier allocation time, and online operator information, an online traceability identifier corresponding to the allocated online member information is generated. Based on the offline information collection channels, offline identifier allocation time, and offline operator information, an offline traceability identifier corresponding to the allocated offline member information is generated.

[0041] Secondly, this application provides a union member information entry system based on big data, including:

[0042] The module is used to generate cross-platform information interaction data of union members based on their operation records, historical information submission records, and consultation feedback content across various union channels.

[0043] The data collection module is used to collect paper-based text information and electronic display information submitted by union members through offline windows, as well as online membership information submitted by union members through various union channels, and to convert the paper-based text information and electronic display information into offline membership information.

[0044] The processing module is used to perform data optimization processing and priority determination on the online member information and the offline member information based on the member operation time and information review status in the cross-platform information interaction data of the union members, so as to obtain the target online member information and the target offline member information.

[0045] The allocation module is used to allocate corresponding member identity identifiers to the target online member information and target offline member information to obtain allocated online member information and allocated offline member information. At the same time, it allocates online traceability identifiers to the allocated online member information and offline traceability identifiers to the allocated offline member information.

[0046] The integration module is used to associate, integrate, and verify the allocated online member information and the allocated offline member information based on the member identity identifier, the online traceability identifier, and the offline traceability identifier, so as to generate the final union member information.

[0047] Thirdly, this application provides an electronic device, comprising:

[0048] Memory, used to store computer programs;

[0049] A processor is configured to execute the computer program to implement the steps of a big data-based union member information entry method as described in the first aspect above.

[0050] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the steps of the big data-based union member information entry method described in the first aspect above.

[0051] This application provides a big data-based method for inputting union member information. It generates cross-platform information interaction data based on union members' operation records, historical information submission records, and consultation feedback across various union channels. It also collects information from multiple online and offline sources, transforming paper and electronic display information into structured data. This achieves comprehensive coverage and dynamic perception of heterogeneous information sources, overcoming the shortcomings of traditional systems that rely solely on static rules and struggle to capture the correlation of user behavior across channels. Furthermore, by optimizing and prioritizing online and offline member information, and combining dynamic contextual factors such as operation time and information review status, it improves the intelligence level of information filtering and integration, avoiding fixed priority strategies. This addresses the issue of high-confidence information being mistakenly overwritten. By assigning member identity identifiers and independent online and offline traceability identifiers to the optimized information, a traceable information source management system was established, enhancing the transparency and controllability of the data integration process. Based on the identity identifiers and traceability identifiers, multi-source information is associated, integrated, and verified. This not only achieves accurate collection and consistent matching of information from multiple channels but also dynamically judges the acceptance criteria for conflicting fields based on the reliability of the information source. Without manual intervention, it automatically retains high-confidence information and marks low-confidence information, improving the accuracy and completeness of information merging. This results in a unified, reliable, and traceable final union member information system. Furthermore, by categorizing online and offline information with the same member identity, the system achieves systematic aggregation of multi-source data for the same member. Fine-grained comparisons of various member information fields are performed to identify inconsistencies. The reliability of the information source for each discrepancy is analyzed using online and offline traceability identifiers. Processing strategies are differentiated based on reliability levels, retaining high-reliability information and adding supplementary explanations or verification marks to low-reliability or questionable content. Finally, consistent information and discrepancies are integrated to generate individualized integrated member information, which is then categorized and stored, forming a complete information loop. This solves the problem of existing systems lacking dynamic discrimination mechanisms and relying solely on preset rules when facing multi-source information conflicts, leading to frequent misjudgments. It improves the logical rigor and business adaptability of the information fusion process, enhances the system's autonomous processing capability for complex and contradictory data, and reduces reliance on manual intervention. Simultaneously, traceability identifiers support the backtracking and auditing of information change paths, ensuring the compliance and explainability of data governance. Thus, intelligent collaboration and reliable integration of cross-channel and cross-format member information are achieved without relying on static priority rules. Attached Figure Description

[0052] To more clearly illustrate the technical solutions of the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 A flowchart illustrating a method for inputting union member information based on big data, provided in an embodiment of this application;

[0054] Figure 2 A schematic diagram illustrating a specific implementation of a big data-based method for inputting union member information, provided in this application embodiment;

[0055] Figure 3 This is a schematic diagram of a big data-based union member information entry system provided in an embodiment of this application. Detailed Implementation

[0056] To address the numerous problems arising from existing solutions that rely on preset rules and fixed priority mechanisms, the system struggles to dynamically respond to members' frequent switching between different channels and their repeated modifications or additions of information. This leads to issues such as confusion between old and new versions and omissions of critical updates during information integration. Furthermore, the system cannot assess data reliability based on actual interaction behavior, making it susceptible to high-reliability information confirmed offline being overwritten by simply resubmitted online content. It also fails to capture the true intent and information correction needs expressed in user feedback, thus hindering the accuracy and intelligence of member information management. This application addresses these issues by collecting union members' operation records, historical submissions, and feedback content across various online channels to construct cross-platform information interaction data. Simultaneously, it transforms paper and electronic information submitted offline into structured data. By combining the time sequence of information submissions and review status, it dynamically optimizes and prioritizes online and offline information. Finally, by assigning unified identity identifiers and independent traceability identifiers to information from different sources, it achieves precise correlation and consistency verification of multi-source information, ultimately forming a complete, accurate, and traceable member information record.

[0057] To enable those skilled in the art to better understand the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are merely some embodiments of the present application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0058] The core of this application is to provide a method for inputting union member information based on big data, and a flowchart of one specific implementation method is shown below. Figure 1 As shown, the method includes:

[0059] Step 101: Based on the union members' operation records, historical information submission records, and consultation feedback content on various union channels, cross-platform information exchange data of union members is formed.

[0060] In this step, "union channels" refers to the platforms / methods through which unions provide services and interactions to their members, including online platforms such as union apps, official websites, and mini-programs, as well as offline service windows. These are used by members to submit information, obtain services, and provide feedback, serving as the basic carrier for collecting member data. "Operation records" refer to the dynamic operational traces of members across various union channels, such as login time, browsing history, and function usage logs. These reflect members' real-time interactive behavior within these channels and are an important component of cross-platform data. "Historical information submission records" refer to archived information submitted by members through union channels in the past, such as basic personal information and rights application materials. These records, based on members' historical submissions, are used to supplement the completeness of member information. "Consultation and feedback content" refers to questions, suggestions, and requests raised by members through union channels, existing in text / voice format. These reflect members' needs and questions and represent the portion of cross-platform information interaction data that reflects members' subjective needs. "Union member cross-platform information interaction data" refers to comprehensive data formed by summarizing and integrating members' operation records, historical information submission records, and consultation and feedback content across various union channels. This data covers members' multi-channel interactive behavior and is used for subsequent information optimization and priority determination.

[0061] In this embodiment of the application, the union channels (such as union APP, union official website, union mini program) are first determined. The operation records (such as login, browsing, function usage records), historical information submission records (such as previously submitted personal basic information, rights application information) and consultation feedback content (such as text / voice content of question consultation and opinion feedback) of union members in these channels are collected and integrated through the back-end system of each channel.

[0062] Step 102: Collect paper and electronic information submitted by union members through offline windows, as well as online membership information submitted by union members through various union channels, and convert the paper and electronic information into offline membership information.

[0063] In this step, paper-based text information refers to paper-based written materials submitted by members through offline windows, such as paper registration forms and certificates. These need to be converted into electronic text using optical character recognition (OCR) and are one of the original sources of offline member information. Electronic display information refers to electronically displayable content submitted by members through offline windows, such as electronic documents on USB drives and mobile phone pictures. This requires formatting and is another original source of offline member information. Online member information refers to information forms submitted by members through the union's online channels, such as personal information filled out on the APP / website, used for subsequent optimization processing. Offline member information refers to the structured information formed by combining offline paper-based text information and electronic display information, which is then processed together with online member information.

[0064] In this embodiment, offline window staff receive paper-based text information (such as paper registration forms and supporting documents) and electronic display information (such as electronic documents on USB drives and pictures displayed on mobile phones) submitted by union members. At the same time, online member information (such as information forms filled out by APP / official website) submitted by members is collected through the back-end of various union channels. Then, optical character recognition technology is used to convert the paper-based text information into electronic text, and the electronic display information is formatted and its content extracted. All of this offline collected information is then uniformly converted into structured offline member information.

[0065] Step 103: Based on the member operation time and information review status in the cross-platform information interaction data of the union members, perform data optimization processing and priority determination on the online member information and the offline member information to obtain the target online member information and the target offline member information.

[0066] In this step, member operation time refers to the specific time when a member submits information and performs an operation in the channel. It is used to determine the timeliness of the information and is one of the key parameters for information optimization. Information review status refers to the union's review result of the member's submitted information (passed / pending review / not passed). It is used to filter valid information and is another key parameter for information optimization. Target online member information refers to the highest priority online member information selected after optimization (retaining new members, retaining approved members) and priority determination, used for subsequent allocation of member identity identifiers. Target offline member information refers to the highest priority offline member information selected after optimization (retaining new members, retaining approved members) and priority determination, used for subsequent allocation of member identity identifiers.

[0067] Step 104: Assign corresponding member identity identifiers to the target online member information and target offline member information to obtain the assigned online member information and assigned offline member information. At the same time, assign an online traceability identifier to the assigned online member information and an offline traceability identifier to the assigned offline member information.

[0068] In this step, the member identity identifier refers to a unique code that identifies each member. It is generated based on the member's original identity information (or retrieved from existing records) and is used to link online and offline information for the same member, ensuring unique information attribution. Post-allocation online member information refers to the information obtained after assigning a member identity identifier to the target online member information. It includes the original content and the identity identifier and is used for subsequent allocation of online traceability identifiers. Post-allocation offline member information refers to the information obtained after assigning a member identity identifier to the target offline member information. It includes the original content and the identity identifier and is used for subsequent allocation of offline traceability identifiers. The online traceability identifier refers to the traceability identifier generated for the post-allocation online member information. It includes the collection channel, identity identifier allocation time, and operator account, and is used to determine the reliability of online information during information verification. The offline traceability identifier refers to the traceability identifier generated for the post-allocation offline member information. It includes the collection channel, identity identifier allocation time, and operator account, and is used to determine the reliability of offline information during information verification.

[0069] Step 105: Based on the member identity identifiers, online traceability identifiers, and offline traceability identifiers of the allocated online member information and the allocated offline member information, perform association integration and information verification on the allocated online member information and the allocated offline member information to generate the final union member information.

[0070] In this step, the final union member information refers to the complete and accurate set of member information formed after association and integration (grouping by identity identifier) ​​and information verification (determining reliability based on traceability identifier), which is used for centralized union management.

[0071] This application embodiment integrates cross-platform member interaction data, associates the same member information with member identity identifiers, and relies on traceability identifiers to achieve information verification. This solves the problems of static rules making it difficult to identify operational correlations and prone to version errors, flexibly adapts to multiple scenarios, avoids the duplication of highly reliable information, and improves the completeness and accuracy of member information entry.

[0072] This application provides a specific embodiment. Step 103 involves optimizing and prioritizing the online and offline member information based on the member operation time and information review status in the cross-platform information interaction data of union members, to obtain target online and offline member information. This specifically includes the following steps:

[0073] Step 301: Extract the member operation time and information review status from the cross-platform information interaction data of the union members, and mark the member operation time and information review status to the corresponding online member information and offline member information respectively, forming online member information to be processed and offline member information to be processed.

[0074] In this step, the "Pending Online Member Information" indicator annotates online member information with member operation time and information review status, which is used for subsequent classification and optimization. The "Pending Offline Member Information" indicator annotates offline member information with member operation time and information review status, which is also used for subsequent classification and optimization.

[0075] In this embodiment of the application, the member operation time and information review status corresponding to each piece of information are extracted from the cross-platform information interaction data of union members by field matching. Then, the extracted member operation time and information review status are respectively marked into the online member information and offline member information associated with them, so that each piece of online member information and offline member information is accompanied by these two parameters, thereby forming online member information to be processed and offline member information to be processed.

[0076] Step 302: Based on the original identity information of the online member information to be processed and the offline member information to be processed, classify the online member information to be processed and the offline member information to be processed corresponding to the same member to obtain multiple sets of information to be processed for the same member.

[0077] In this step, the member's original identity information refers to the basic information that can uniquely identify a member, such as name, ID number, union membership number, etc., reflecting the member's identity attributes and used to categorize the multi-channel information of the same member. The set of information to be processed refers to the information set formed by grouping the online and offline member information corresponding to the same member, and is used to centrally optimize the multi-channel information of the same member.

[0078] In this embodiment, the original identity information of the members (such as name, ID number and other information that uniquely identifies the member) is extracted from the online member information to be processed and the offline member information to be processed. By comparing these identity information fields, the online member information to be processed and the offline member information to be processed corresponding to the same member are grouped together, thereby obtaining multiple sets of information to be processed for the same member (each set contains information to be processed submitted by the member through different channels).

[0079] Step 303: Retain the pending information in each set of pending information where the time interval between the member operation time and the information processing time in the data optimization process is less than a preset time interval, and at the same time remove the pending information in each set of pending information where the information review status is "not approved", to obtain the optimized online member information and the optimized offline member information.

[0080] In this step, member operation time refers to the specific time when a member submits information or performs an operation through the union channel, reflecting the timing of information generation and used to calculate the interval between the information processing time to determine the timeliness of the information. The data optimization processing stage refers to the stage of filtering and prioritizing online and offline member information. It is the core link in information optimization and is used to determine the benchmark for information processing time. Information processing time refers to the system time when entering the data optimization processing stage, serving as the benchmark for calculating the time interval and used to determine the time distance between the member operation time and the current processing stage. The preset time interval refers to a pre-set time threshold used to determine whether information is timely. It is set based on the union's business requirements for information timeliness and is used to filter out recently valid information to be processed. Information to be processed refers to the collective term for online and offline member information to be processed. It is the direct object of data optimization processing and includes the original information content and the marked member operation time and information review status. Optimized online member information refers to information filtered from the online member information to be processed that has a time interval less than the preset time interval and has passed review, used for subsequent priority assessment. Optimized offline member information refers to information selected from offline member information to be processed that has a time interval shorter than the preset time interval and has passed the review, and is used for subsequent priority assessment.

[0081] In this embodiment, for each set of information to be processed, the time interval between the member operation time of each piece of information to be processed and the information processing time of the data optimization processing stage is first calculated (the absolute value is obtained by subtracting the member operation time from the information processing time). Information to be processed with a time interval less than a preset time interval is retained. At the same time, the information review status of each piece of information to be processed is checked, and information to be processed with a status of "not approved" is removed. After this filtering, optimized online member information and optimized offline member information are obtained.

[0082] Step 304: Assess the priority levels of the optimized online member information and the optimized offline member information, and determine the priority of the optimized online member information and the optimized offline member information within the same priority level to obtain the graded online member information and the graded offline member information.

[0083] In this step, priority levels refer to the grades (e.g., high, medium, low) assigned based on characteristics such as timeliness and review quality of information, reflecting the overall priority level of the information and used to initially distinguish the importance of the information. Priority refers to the order in which information is ordered within the same priority level according to more detailed rules (e.g., the time of operation), reflecting the relative importance of information within the same level. Graded online member information refers to the optimized online member information after priority level assessment and priority ranking within the same level, used for the final screening of target online member information. Graded offline member information refers to the optimized offline member information after priority level assessment and priority ranking within the same level, used for the final screening of target offline member information.

[0084] In this embodiment, priority levels (such as high, medium, and low levels) are assigned to the optimized online and offline member information based on the timeliness of member operation times (the shorter the time interval, the higher the timeliness) and the time of information approval. For information within the same priority level, the specific priority is determined according to the order of member operation times (the later the time, the higher the priority), thus obtaining the graded online and offline member information.

[0085] Step 305: Select the highest priority graded online member information as the target online member information and the highest priority graded offline member information as the target offline member information.

[0086] In this embodiment, the highest priority information is selected from the tiered online member information and used as the target online member information; the highest priority information is selected from the tiered offline member information and used as the target offline member information. These two types of target information will be used for subsequent allocation of member identity identifiers.

[0087] This application's embodiments solve the problems of scattered and slow-moving information by annotating key parameters, classifying the same member information, filtering and classifying effective information, ensuring that the information processed subsequently is timely and effective, and improving the accuracy of the target information.

[0088] This application provides a specific embodiment. Step 104 involves assigning corresponding member identity identifiers to the target online member information and target offline member information to obtain the assigned online member information and assigned offline member information. This specifically includes the following steps:

[0089] Step 401: Standardize the format of the original identity information of the target online member information and the target offline member information to obtain standardized identity information.

[0090] In this step, standardized identity information refers to the identity information obtained after standardizing the format of the original identity information of the target online member information and the target offline member information. The format is consistent and the elements are complete, which is used to accurately retrieve the matching member identity identifier in the union member information database.

[0091] In this embodiment, the original identity information (such as name, ID number, contact information, etc.) of the target online member information and the target offline member information is extracted. The format is standardized by unifying the field format (such as removing spaces in the ID number, unifying the name to full-width characters, and retaining 11 digits in the contact information) and supplementing missing format elements (such as prompting to complete incomplete ID numbers). This ensures that the identity information from different sources is consistent in format, resulting in standardized identity information.

[0092] Step 402: Retrieve the member identity identifiers stored in the pre-built union member information database. If there is a stored member identity identifier that matches the standardized identity information, then assign the stored member identity identifier to the corresponding target online member information and target offline member information respectively to obtain the assigned online member information and the assigned offline member information.

[0093] In this step, the pre-built union member information database refers to a pre-established database used to store various types of union member information. It includes stored member identification identifiers and associated member information, used to retrieve existing member identification identifiers and ensure centralized member information management. Stored member identification identifiers refer to codes already existing in the pre-built union member information database, used to uniquely identify members. These identifiers are generated based on historical member information entries and are used to associate newly submitted information from the same member.

[0094] In this embodiment of the application, standardized identity information is used as the retrieval condition. The member identity identifier stored in the pre-constructed union member information database is retrieved by field matching technology. If there is a stored member identity identifier in the database that completely matches the standardized identity information field, the stored member identity identifier is associated with the corresponding target online member information and target offline member information respectively, so that both types of target information have the unique identifier, and the allocated online member information and allocated offline member information are obtained.

[0095] Step 403: If there is no stored member identity identifier that matches the standardized identity information, then based on the key fields in the standardized identity information and combined with the preset unique coding rules, a unique member identity identifier is generated, and the unique member identity identifier is assigned to the corresponding target online member information and target offline member information respectively, to obtain the assigned online member information and the assigned offline member information.

[0096] In this step, key fields refer to the distinctive core information fragments extracted from standardized identity information, such as the regional code in an ID card number or the first letter of the name. These reflect the key characteristics of a member's identity and are used to assist in generating a unique member identity identifier. Preset unique coding rules refer to pre-defined coding rules used to generate unique member identity identifiers. These rules typically include elements such as regional information, time information, and random sequences to ensure the uniqueness of the generated identifier, used to create exclusive identity identifiers for new members. A unique member identity identifier refers to an identifier generated based on the key fields of standardized identity information and the preset unique coding rules, corresponding only to a single member. This identifier is used to uniquely identify new members and ensure that their online and offline information can be accurately linked.

[0097] In this embodiment of the application, if no stored member identity identifier matching the standardized identity information is found after searching the pre-built union member information database, key fields (such as the first 6 digits of the ID card number, the first letter of the name, etc.) are extracted from the standardized identity information, and a unique member identity identifier is generated by combining it with a preset unique encoding rule (such as the combination rule of area code + year + random 6 digits). The unique member identity identifier is then associated with the corresponding target online member information and target offline member information to obtain the allocated online member information and allocated offline member information.

[0098] This application's embodiments solve the problem of chaotic identity matching across multiple channels by standardizing identity information and retrieving or generating unique identifiers, ensuring that the same member information is uniquely associated, avoiding duplicate entry, and improving the uniformity and accuracy of member information management.

[0099] This application provides a specific embodiment. Step 104, assigning an online traceability identifier to the allocated online member information and an offline traceability identifier to the allocated offline member information, specifically includes the following steps:

[0100] Step 411: Based on the channel identifier in the allocated online member information, determine the online information collection channel corresponding to the allocated online member information; at the same time, based on the receiving channel identifier in the offline window record associated with the allocated offline member information, determine the offline information collection channel corresponding to the allocated offline member information.

[0101] In this step, the channel identifier refers to the code embedded in the allocated online member information that represents the information source channel (e.g., APP-01, Official Website-02), reflecting the specific platform for collecting online information and used to determine the corresponding online information collection channel. The online information collection channel refers to the online platform that collects the allocated online member information (e.g., union APP, union official website, union mini-program, etc.), determined based on the channel identifier in the allocated online member information, and used to trace the source of online information. The offline window record refers to the archive record formed when an offline window receives information submitted by a member, including information such as the receiving time, receiving channel identifier, and handler, used to associate the allocated offline member information and determine its collection channel. The receiving channel identifier refers to the code in the offline window record used to identify the offline information source window (e.g., Window-Chengdong 01), reflecting the specific offline information collection window and used to determine the corresponding offline information collection channel. The offline information collection channel refers to the offline physical window that collects the allocated offline member information, determined based on the receiving channel identifier in the offline window record associated with the allocated offline member information, and used to trace the source of offline information.

[0102] In this embodiment, channel identifiers (such as codes representing the source of information, such as union APP-01, official website-02, etc.) are extracted from the allocated online member information. By querying a preset channel identifier and channel name correspondence table, the online information collection channel corresponding to the allocated online member information is determined. At the same time, receiving channel identifiers (such as offline window-east 01, offline window-west 02, etc.) are extracted from the offline window records associated with the allocated offline member information. By querying the same correspondence table, the offline information collection channel (such as east offline window, west offline window, etc.) corresponding to the allocated offline member information is determined.

[0103] Step 412: Take the time when the online member information completes the member identity identifier allocation as the online identifier allocation time, and take the time when the offline member information completes the member identity identifier allocation as the offline identifier allocation time. Associate the operator account that performs the member identity identifier allocation operation with the corresponding online member information and offline member information after allocation to obtain online operator information and offline operator information.

[0104] In this step, the online identifier allocation time refers to the system time when the online member information completes the member identity identifier allocation operation after allocation, reflecting the moment when the online information obtains a unique identity identifier, and is used for information timeliness determination and traceability identifier generation. The offline identifier allocation time refers to the system time when the offline member information completes the member identity identifier allocation operation after allocation, reflecting the moment when the offline information obtains a unique identity identifier, and is used for information timeliness determination and traceability identifier generation. The operator account refers to the unique login account of the staff member performing the member identity identifier allocation operation, reflecting the identity of the operation executor, and is used to associate the operator with the corresponding member information. Online operator information refers to the operator account and related operation records associated with the allocated online member information, obtained based on the binding of the operator account and the allocated online member information, and is used to trace the operation subject of the online information. Offline operator information refers to the operator account and related operation records associated with the allocated offline member information, obtained based on the binding of the operator account and the allocated offline member information, and is used to trace the operation subject of the offline information.

[0105] In this embodiment, the system time when the online member information completes the member identity identifier allocation is recorded, and this time is used as the online identifier allocation time; the system time when the offline member information completes the member identity identifier allocation is recorded, and this time is used as the offline identifier allocation time; the operator account that performed this member identity identifier allocation operation is extracted from the system operation log, and the account is bound and associated with the corresponding online member information and offline member information after allocation, respectively, to form online operator information and offline operator information containing the operator account.

[0106] Step 413: Based on the online information collection channels, online identifier allocation time, and online operator information, generate an online traceability identifier corresponding to the allocated online member information; based on the offline information collection channels, offline identifier allocation time, and offline operator information, generate an offline traceability identifier corresponding to the allocated offline member information.

[0107] In this embodiment, information splicing technology is used to combine online information collection channels, online identifier allocation time, and online operator information in a preset format (such as channel-time-operator) to generate an online traceability identifier that uniquely corresponds to the allocated online member information; similarly, offline information collection channels, offline identifier allocation time, and offline operator information are combined in the same format to generate an offline traceability identifier corresponding to the allocated offline member information.

[0108] This application embodiment generates a traceability identifier that includes the channel, time, and operator, enabling full-chain traceability of member information. This solves the problems of unclear information sources and difficulty in locating responsibility, and improves the reliability of information verification and the standardization of operations.

[0109] This application provides a specific embodiment, such as Figure 2 As shown, step 105 involves associating and verifying the allocated online and offline member information based on the member identity identifiers, online traceability identifiers, and offline traceability identifiers, to generate the final union member information. This process specifically includes the following steps:

[0110] Step 501: Categorize the online and offline member information after allocation that have the same member identity to obtain the information to be integrated for the same union member.

[0111] In this step, the information to be integrated for the same union member refers to the information set formed by grouping the allocated online member information and the allocated offline member information with the same member identity identifier into one group. This includes the online and offline information submitted by the member through different channels after identity identifier allocation, which is used for subsequent comparison, verification and integration of the multi-channel information of the same member.

[0112] Step 502: Compare the member information fields of the allocated online member information and the allocated offline member information in each group of information to be integrated, so as to mark the information differences that are inconsistent between the member information fields of the allocated online member information and the allocated offline member information. The member information fields include name, contact information and the union branch to which they belong.

[0113] In this step, the "Member Information" field refers to the specific content categories recording basic member attributes in the allocated online and offline member information, including name, contact information, and affiliated union branch. This reflects the member's core identity and associated information and is used to compare the consistency between online and offline information to identify differences. The "Information Difference Item" refers to the portion of the member information field in each group of information to be integrated that is inconsistent between the allocated online and offline member information. This is obtained through a point-by-point comparison of the member information fields and is used to subsequently determine the reliability of the information source to decide whether to retain or supplement it.

[0114] Step 503: Compare the online traceability identifiers and offline traceability identifiers in each group of information to be integrated to determine the reliability of the information source of each information difference item.

[0115] In this step, the reliability of the information source refers to an indicator that measures the authenticity and validity of the information discrepancies in the allocated online or offline member information, and is used to screen for discrepancies with high credibility.

[0116] Step 504: Retain the target information difference items in each group of information to be integrated whose information source reliability is higher than the preset reliability, and add the target information supplementary description or manual review mark to the information source reliability of the difference items to be supplemented to generate the information difference item content corresponding to each group of information to be integrated.

[0117] In this step, the preset reliability refers to a threshold pre-set in the trade union information management system to determine whether an information discrepancy item possesses high credibility. This threshold is set based on the trade union's requirements for information accuracy and is used to distinguish between target information discrepancies and discrepancies to be supplemented. Target information discrepancies refer to information discrepancies in each group of information to be integrated whose source reliability is higher than the preset reliability, reflecting high credibility of the discrepancy content, and are directly retained in the information discrepancy item content. Supplementary information refers to explanatory records related to information discrepancies pre-stored in the trade union information management system, entered by operators, used to supplement the background or basis for correction of discrepancies to be supplemented with lower source reliability. Information discrepancy item content refers to the complete set of discrepancy information formed after integrating target information discrepancies, adding supplementary information, and adding discrepancies requiring manual review. This is obtained based on the processing of different types of discrepancies and is used to integrate with member-consistent information to form complete member information.

[0118] Step 505: Integrate the consistent member information and the information difference items in each group of information to be integrated to form the integrated member information of the same union member. Classify and store all the integrated member information according to the member identity identifier to generate the final union member information.

[0119] In this step, "consistent member information" refers to the portion of member information fields in each group of information to be integrated where the allocated online and offline member information are completely identical. This reflects the undisputed and accurate content of the member information and is used to combine with the information discrepancies to form the integrated member information. The integrated member information for the same union member refers to the collection of complete and accurate information for that member, formed by merging the consistent member information and information discrepancies from each group of information to be integrated. This information is used to classify and store members according to their membership identity to generate the final union member information.

[0120] Optionally, step 503 involves comparing the online and offline traceability identifiers in each group of information to be integrated to determine the reliability of the information source for each information difference item. This specifically includes the following steps:

[0121] Step 511: Compare the online information collection channels in the online traceability identifier and the offline information collection channels in the offline traceability identifier of each group of information to be integrated to determine the channel reliability score of the allocated online member information and the allocated offline member information. The scoring criteria for the channel reliability score include the existence of system automatic trace information in the online information collection channels, and the system automatic trace information includes the information submission time and the submission device identifier; and the existence of paper record archives in the offline information collection channels, and the paper record archives include member confirmation signatures.

[0122] In this step, the channel reliability score refers to the score assigned to the allocated online and offline member information based on a comparison between online and offline information collection channels, reflecting the credibility of the information collection channel. The scoring criteria refer to the specific conditions considered in determining the channel reliability score, including the system's automatic record-keeping information for online information collection channels and the paper-based records for offline information collection channels. This clarifies the criteria for judging channel credibility and ensures the rationality of the channel reliability score calculation. The system's automatic record-keeping information refers to auxiliary data automatically recorded by the online information collection channel when a member submits information, reflecting the information submission process. This includes the information submission time and the identification of the submission device, used to prove the authenticity of the online information source and serving as one of the criteria for determining the channel reliability score. The information submission time refers to the specific moment when a member submits online member information through the online information collection channel. This is part of the system's automatic record-keeping information and is used to assist in judging the credibility of the online information collection channel, supporting the calculation of the channel reliability score. The device identifier refers to the unique code of the device used by a member when submitting online member information through online information collection channels. It is part of the system's automatic record-keeping information and is used to verify the uniqueness of the online information submission entity, assisting in determining the credibility of the online information collection channel. Paper record archiving refers to the paper-based records retained by members and confirmed by them when they submit paper or electronic information through offline information collection channels. These records include the member's signature and are used to prove the authenticity of the offline information source, serving as one of the criteria for determining the channel's reliability score. The member's signature refers to their personal name signed on the paper record archiving when submitting information through offline information collection channels. This reflects the member's acceptance of the accuracy of the offline submitted information and is used to assist in determining the credibility of the offline information collection channel, supporting the calculation of the channel reliability score.

[0123] Step 512: Calculate the first time interval between the online identifier allocation time and the information verification time in each group of information to be integrated, and the second time interval between the offline identifier allocation time and the information verification time. Based on the first time interval and the second time interval, determine the information timeliness score of the allocated online member information and the allocated offline member information.

[0124] In this step, the information verification time refers to the system time when the reliability judgment operation for the information difference item source is performed. It serves as the benchmark for calculating the time interval and is used to determine the time distance between the online identifier allocation time, the offline identifier allocation time, and the current verification operation, supporting the calculation of the information timeliness score. The first time interval refers to the time difference between the online identifier allocation time and the information verification time for each group of information to be integrated after allocation. It is used to determine the timeliness of online information and support the determination of the information timeliness score. The second time interval refers to the time difference between the offline identifier allocation time and the information verification time for each group of information to be integrated after allocation. It is used to determine the timeliness of offline information and support the determination of the information timeliness score. The information timeliness score refers to the score assigned to the allocated online and offline member information based on the comparison results of the first and second time intervals, reflecting the freshness of the information. The shorter the time interval, the higher the score, and it is used to calculate the comprehensive score of information source reliability.

[0125] Step 513: Based on the operation permission levels corresponding to the online and offline operator information in each group of information to be integrated, determine the operation credibility scores of the allocated online and offline member information.

[0126] In this step, the operation permission level refers to the level of operation permission set for operator accounts in the trade union information management system (such as administrator permission, ordinary operation permission). Based on the operator's job responsibilities, it is used to determine the credibility of the information entered by the operator and supports the determination of the operation credibility score. The operation credibility score refers to the score assigned to the online member information and the offline member information after allocation, based on the operation permission level corresponding to the online operator information and the offline member information after allocation, reflecting the credibility of the operation subject. The higher the permission level, the higher the score, and it is used to calculate the comprehensive score of the reliability of the information source.

[0127] Step 514: The channel reliability score, information timeliness score, and operation credibility score corresponding to the allocated online member information and the allocated offline member information are weighted and summed to obtain the comprehensive score corresponding to the allocated online member information and the allocated offline member information, so as to determine the information source reliability of each information difference item based on the comprehensive score.

[0128] In this step, the comprehensive score refers to the total score obtained by adding the channel reliability score, information timeliness score, and operation credibility score corresponding to the allocated online or offline member information according to preset weights. It is used to directly determine the reliability of the information source of the information difference item.

[0129] Optionally, in step 504, the target information difference items with a source reliability higher than a preset reliability in each group of information to be integrated are retained. At the same time, supplementary descriptions or manual verification marks for the target information are added to the difference items to be supplemented with a source reliability lower than or equal to the preset reliability, so as to generate the information difference item content corresponding to each group of information to be integrated. Specifically, this includes the following steps:

[0130] Step 521: Mark the information difference items in each group of information to be integrated whose information source reliability is higher than the preset reliability as target information difference items, and mark the information difference items whose information source reliability is lower than or equal to the preset reliability as difference items to be supplemented.

[0131] In this step, the "difference items to be supplemented" refers to the information difference items in each group of information to be integrated whose information source reliability is lower than or equal to the preset reliability. These items are used to add supplementary information or to mark items that require manual review.

[0132] Step 522: Based on the allocated online or offline member information to which the difference to be supplemented belongs, and the online or offline operator information associated with the difference to be supplemented, determine the target operator account.

[0133] In this step, the target operator account refers to the operator account that has performed the member identity assignment operation and is associated with the assigned online or offline member information to which the difference to be supplemented belongs. It is used to retrieve the supplementary information entered by the operator.

[0134] Step 523: Based on the target operator account, retrieve the target information supplementary description associated with the member information field of the difference to be supplemented from the information supplementary description records pre-stored in the trade union information management system. If the target information supplementary description is found, add the target information supplementary description to the associated field corresponding to the original content of the difference to be supplemented to form a combined difference content. If the target information supplementary description is not found, add a mark that needs to be manually reviewed to the associated field corresponding to the original content of the difference to be supplemented to obtain the difference content after adding the mark.

[0135] In this step, the trade union information management system refers to the system platform used by the trade union to store and manage member information and related records. It includes pre-stored supplementary information records and a member identification database, used to retrieve supplementary information, store integrated member information, and support the entire information entry process. Pre-stored supplementary information records refer to explanatory data related to information discrepancies, pre-stored in the trade union information management system and entered by operators. These records are linked to operator accounts and member information fields, providing background information or a basis for correction for the discrepancies to be supplemented. Target supplementary information refers to explanatory content retrieved from the pre-stored supplementary information records that is directly related to the member information fields of the discrepancies to be supplemented. It is added to the discrepancies to improve information completeness. The original content of the discrepancies to be supplemented refers to the inconsistent field content recorded in the discrepancy itself, whether in the allocated online or offline member information. This is the core information of the discrepancy and is used to add target supplementary information or mark items requiring manual review. The associated fields corresponding to the original content of the discrepancy item to be supplemented refer to the member information fields (such as contact information fields, union branch fields) to which the original content of the discrepancy item to be supplemented belongs. This reflects the member information category corresponding to the discrepancy item to be supplemented and is used to clarify the location for adding supplementary information or manual review markers. Combined discrepancy item content refers to the complete discrepancy information, including both the original content and the supplementary information, formed after adding supplementary information to the associated fields corresponding to the original content of the discrepancy item to be supplemented. This is used to integrate it into the information discrepancy item content. The manual review marker refers to an indicator added to the associated fields corresponding to the original content of the discrepancy item to be supplemented when no supplementary information is found. This indicates that further manual verification is required and is used to remind staff to handle discrepancies with low credibility, ensuring information accuracy. Discrepancy item content after adding the marker refers to the discrepancy item to be supplemented after adding the manual review marker, including the original content of the discrepancy item to be supplemented and the manual review marker. This is used to integrate it into the information discrepancy item content.

[0136] Step 524: Integrate the original content of the target information difference item, the combined difference item content, and the difference item content after adding the mark to form the information difference item content corresponding to each group of information to be integrated.

[0137] In this step, the original content of the target information difference item refers to the field content that is inconsistent between the target information difference item itself and the online or offline member information after allocation. Because the reliability of the information source is higher than the preset reliability, it is directly retained and used to integrate into the content of the information difference item.

[0138] In this embodiment, firstly, through step 501, the content of the preset member identity identifier field (such as a unique code consisting of a region code, year, and a random 6-digit number) is read from all allocated online and offline member information. Using the database grouping function of the trade union information management system, the allocated online and offline member information with completely identical identifier content is filtered out based on the member identity identifier and grouped into the same data group. Each data group corresponds to a single member, thereby obtaining the information to be integrated for the same trade union member, providing an accurate data set for subsequent comparison of multi-channel information for the same member. Next, in step 502, for each group of information to be integrated, the corresponding fields of the online and offline member information after allocation are compared one by one in the order of name-contact information-affiliated union branch: the name field needs to be checked to ensure that the character format (full-width / half-width) and space positions are completely consistent (e.g., Zhang s and Zhang (space) s are inconsistent); the contact information field needs to be checked to ensure that the number of digits (e.g., mobile phone number must be 11 digits), special characters (e.g., -, space) conform to the unified format, and the numerical content is the same; the affiliated union branch field needs to be checked to ensure that the branch name (e.g., A Union Branch 1 and A Union Branch 1 are inconsistent). If a certain field has content differences after the above checks, the online content, offline content, and difference type (e.g., format difference, numerical difference) of that field are recorded, and it is marked as an information difference item. Next, in step 503, step 511 is executed first. The online information collection channel field (such as union APP, union official website) in the online traceability identifier of each group of information to be integrated is compared with the offline information collection channel field (such as union A offline window, union B service station) in the offline traceability identifier. The score is determined according to the preset channel reliability scoring standard: if the online channel contains both the information submission time accurate to the second and the complete submission device identifier (such as mobile phone international mobile device identification code, computer media access control address), the channel reliability score is 8-10 points; if it contains only one item, it scores 5-7 points; if it has neither item, it scores 0-4 points. If the offline channel has paper records with clear member handwritten signatures (the integrity of the signature needs to be verified by the system scan), it scores 8-10 points; if there is no signature but there is a paper record, it scores 5-7 points; if there is no paper record, it scores 0-4 points. Thus, the channel reliability score of the allocated online / offline member information is determined.Next, execute step 512, record the current system time when performing the information reliability judgment operation, and use it as the information verification time; calculate the difference between the online identifier allocation time (the content of the identifier allocation time field in the online member information after allocation) and the information verification time, and the difference between the offline identifier allocation time (the content of the identifier allocation time field in the offline member information after allocation) and the information verification time, and convert the difference unit to hours (e.g., 4 hours and 30 minutes is recorded as 4.5 hours) to obtain the first time interval and the second time interval; determine the information timeliness score of the online / offline member information after allocation according to the timeliness scoring standard of 0-2 hours as 9-10 points, 2-4 hours as 7-8 points, 4-6 hours as 5-6 points, and more than 6 hours as 0-4 points. Then, step 513 is executed to read the operation permission level field (such as administrator, senior operator, ordinary operator) in the online operator information and the operation permission level field in the offline operator information. According to the corresponding rules of permission and credibility, the following scores are given: administrator permission (can modify core member information) gets 9-10 points, senior operator permission (can enter and initially review information) gets 7-8 points, ordinary operator permission (can only submit information) gets 5-6 points, and trainee operator permission (requires review by others) gets 0-4 points. Thus, the operation credibility score of the assigned online / offline member information is determined. Finally, step 514 is executed. According to the preset weighting rules (channel reliability accounts for 40%, information timeliness accounts for 30%, and operation credibility accounts for 30%), the three scores of the allocated online member information are multiplied by their corresponding weights and then summed (e.g., 8×40%+8×30%+7×30%=3.2+2.4+2.1=7.7 points) to obtain the online comprehensive score. Similarly, the comprehensive score of the allocated offline member information is calculated (e.g., 8×40%+9×30%+7×30%=3.2+2.7+2.1=8 points). The comprehensive score is used as the basis for judging the reliability of the information source. The higher the comprehensive score, the higher the reliability of the information source for the corresponding information difference item. Next, in step 504, step 521 is executed first. A preset reliability threshold (e.g., 7.8 points) is retrieved from the system. Information discrepancies with a comprehensive score higher than 7.8 points are marked as target information discrepancies (high reliability, directly retained). Information discrepancies with a comprehensive score lower than or equal to 7.8 points are marked as discrepancies to be supplemented (requiring supplementary explanation or review). Then, step 522 is executed to check the information type markings of the discrepancies to be supplemented (e.g., online source, offline source): if marked as online source, the account is read from the operator account association field of the assigned online member information (e.g., OP001); if marked as offline source, the account is read from the operator account association field of the assigned offline member information, and the read account is determined as the target operator account.Then, proceed to step 523. Using the target operator's account and the member information field of the difference to be supplemented as the joint search criteria, perform a precise query in the information supplementation record table of the trade union information management system. If a matching record is found (e.g., member feedback 138XXXX1234 is deactivated, new number 139XXXX5678), extract the supplementation content field of that record and add it to the original content of the difference to be supplemented (e.g., 138XXXX1234), marked with parentheses (e.g., 138XXXX1234 (member feedback is deactivated)), forming a combined difference content. If no matching record is found, enter "requires manual review" in the review mark field of the difference to be supplemented to obtain the difference content after adding the mark. Finally, execute step 524 to integrate the content according to the member information field: summarize the original content of the target information difference items under the same field (such as 139XXXX5678 in the contact information field), combined difference items (such as 138XXXX1234 (member feedback indicates it is no longer in use)), and difference items after adding tags (such as 138XXXX1234 without supplementary explanation (requires manual review)) to form the difference item sub-content of that field. Then, integrate the difference item sub-content of all fields to generate the information difference item content corresponding to each group of information to be integrated. Finally, in step 505, for each group of information to be integrated, the member information fields that are completely consistent with the online member information and the offline member information after allocation (such as name Zhang s, affiliated union branch A, branch 1) are selected, and these fields and contents are extracted as consistent member information; according to the structure of consistent member information first and information difference items second, the two are merged according to the corresponding fields (such as name Zhang s, contact information 139XXXX5678 (high credibility), 138XXXX1234 (member feedback that it has been discontinued), affiliated union branch A, branch 1), forming the integrated member information of the same union member; all the integrated member information is stored in the integrated member information database of the union information management system according to the member identity identifier as the index key, completing the classification and storage, and finally generating the final union member information covering all members.

[0139] Assume the union system has online member information A (member ID 001, name Zhang S, contact number 138XXXX1234, union branch A, branch 1, online traceability includes the union APP as the online information collection channel, online ID allocation time 20xx-05-01-10:00, online operator information operator 001) and offline member information A (member ID 001, name Zhang S, contact number 139XXXX5678, union branch A, branch 1, offline traceability includes the union offline window as the offline information collection channel, offline ID allocation time 20xx-05-01-11:00, offline operator information operator 002).First, execute step 501: categorize the two types of information for member identity identifier 001 to obtain the information to be integrated for member Zhang S; execute step 502: compare the member information fields of the two, and find that the contact information is inconsistent, marking the contact information: 138XXXX1234 (online) and 139XXXX5678 (offline) as information differences; execute step 503, first compare the channels through step 511, the union APP has system-automatic record information (including submission time 20xx-05-01) 09:50, The submitted device is identified as mobile phone X). Union A has paper records with member confirmation signatures archived at the offline window, which all meet the scoring criteria. The channel reliability score is 8 points. Execute step 512: Set the information verification time to 20xx-05-01-14:00, calculate the first time interval as 4 hours and the second time interval as 3 hours. The offline information timeliness score (9 points) is higher than the online score (8 points). Execute step 513: Operators 001 and 002 have ordinary permissions, and their operation credibility score is 7 points. Execute step 514: Calculate the online comprehensive score by weighting the channel at 40%, the timeliness at 30%, and the credibility at 30%. The online comprehensive score is 8×40%+8×30%+7×30%=7.7 points, and the offline comprehensive score is 8×40%+9×30%+7×30%=8 points. Set the preset reliability to 7.8 points. The offline information difference item has higher reliability. Execute step 504, firstly, through step 521, Offline contact information discrepancies are marked as target information discrepancies, and online discrepancies are marked as discrepancies to be supplemented. Step 522: Based on the online information associated with the operator 001, the target operator account is determined to be 001. Step 523: The supplementary explanation that the member previously reported the deactivated mobile phone number 138XXXX1234 entered by operator 001 is retrieved and added to the online contact information field to form a combined discrepancy item. Step 524: The target information discrepancies (offline contact information) and combined discrepancies (online contact information + supplementary information) are integrated to generate information discrepancies. Step 505: Member-consistent information such as name and affiliated union branch is extracted and integrated with the information discrepancies to form Zhang S's integrated member information, stored according to member identity 001. The above process is repeated for other members (such as member 002) to finally generate the final union member information for all members.

[0140] This application's embodiments categorize information from multiple channels according to member identity identifiers to accurately locate the information to be integrated for the same member; by comparing and marking differences field by field, inconsistencies are identified; reliability is determined from multiple dimensions using traceability identifiers to avoid judgment bias caused by a single rule; differences are categorized, processed, and supplemented with explanations or marked for verification to ensure information completeness and accuracy; finally, consistent information and differences are integrated to form standardized member information and stored in categories; this solves the problems of scattered information from multiple channels, difficulty in determining the reliability of differences, and non-standard processing, improving the accuracy and efficiency of member information entry and providing support for centralized information management of trade unions.

[0141] Figure 3 This application provides a schematic diagram illustrating a specific implementation of a big data-based union member information entry system, with reference to... Figure 3 The system may include:

[0142] Module 21 is used to generate cross-platform information interaction data of union members based on their operation records, historical information submission records and consultation feedback content on various union channels.

[0143] The data collection module 22 is used to collect paper text information and electronic display information submitted by union members through offline windows, as well as online member information submitted by union members through various union channels, and to convert the paper text information and electronic display information into offline member information.

[0144] Processing module 23 is used to perform data optimization processing and priority determination on the online member information and the offline member information based on the member operation time and information review status in the cross-platform information interaction data of the union members, so as to obtain target online member information and target offline member information.

[0145] The allocation module 24 is used to allocate corresponding member identity identifiers to the target online member information and target offline member information to obtain allocated online member information and allocated offline member information. At the same time, it allocates online traceability identifiers to the allocated online member information and offline traceability identifiers to the allocated offline member information.

[0146] The integration module 25 is used to perform association integration and information verification on the allocated online member information and the allocated offline member information based on the member identity identifier, the online traceability identifier and the offline traceability identifier, so as to generate the final union member information.

[0147] This application provides a big data-based union member information entry system to implement the aforementioned big data-based union member information entry method. Therefore, the specific implementation of the big data-based union member information entry system can be found in the previous section on the embodiment of the big data-based union member information entry method. The specific implementation can be referred to the description of the corresponding embodiments, which will not be repeated here.

[0148] This application also provides an electronic device, comprising: a memory for storing a computer program; and a processor for executing the computer program to implement the steps of any of the above-described methods for inputting union member information based on big data.

[0149] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of any of the above-described methods for inputting union member information based on big data.

[0150] In one exemplary embodiment, the aforementioned computer-readable storage medium may include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory, random access memory, portable hard drives, magnetic disks, or optical disks.

[0151] The embodiments of this application also provide a computer program product, which includes a computer program that, when executed by a processor, implements the steps in any of the above embodiments of the big data-based union member information entry method.

[0152] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0153] The foregoing has provided a detailed description of a method and system for inputting union member information based on big data, as provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are merely for the purpose of helping to understand the method and its core ideas. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from its principles, and these improvements and modifications also fall within the protection scope of this application.

Claims

1. A big data based union membership information entry method characterized in that, The method comprises the following steps: Based on the operation records, historical information submission records and consultation feedback of the union members in each union channel, the cross-platform information interaction data of the union members is formed; Collecting the paper text information and electronic display information submitted by the union members through offline windows and the online member information submitted by the union members through each union channel, and converting the paper text information and electronic display information into offline member information; According to the member operation time and information review state in the cross-platform information interaction data of the union members, the online member information and the offline member information are subjected to data optimization processing and priority determination to obtain target online member information and target offline member information; Assigning corresponding member identity identifiers to the target online member information and the target offline member information to obtain assigned online member information and assigned offline member information, and assigning online traceability identifiers to the assigned online member information and offline traceability identifiers to the assigned offline member information; Based on the member identity identifiers, the online traceability identifiers and the offline traceability identifiers of the assigned online member information and the assigned offline member information, the assigned online member information and the assigned offline member information are associated and integrated and subjected to information verification to generate final union member information.

2. The method of claim 1, wherein, Based on the member identity identifiers, the online traceability identifiers and the offline traceability identifiers of the assigned online member information and the assigned offline member information, the assigned online member information and the assigned offline member information are associated and integrated and subjected to information verification to generate final union member information, comprising: Classifying the assigned online member information and the assigned offline member information with the same member identity identifier to obtain the to-be-integrated information of the same union member; Comparing the member information fields of the assigned online member information and the assigned offline member information in each group of to-be-integrated information to mark the information difference items in the member information fields of the assigned online member information and the assigned offline member information that are inconsistent, the member information fields including name, contact information and affiliated union branch; Comparing the online traceability identifiers and the offline traceability identifiers in each group of to-be-integrated information to determine the information source reliability of each information difference item; Retaining the target information difference items with the information source reliability higher than a preset reliability in each group of to-be-integrated information, and adding target information supplementary notes or manual review marks to the to-be-supplemented difference items with the information source reliability lower than or equal to the preset reliability to generate the information difference item content corresponding to each group of to-be-integrated information; Integrating the member consistent information with the same member information fields in each group of to-be-integrated information and the information difference item content to form the integrated member information of the same union member, and classifying and storing all the integrated member information according to the member identity identifiers to generate the final union member information.

3. The method of claim 2, wherein, Comparing the online traceability identifiers and the offline traceability identifiers in each group of to-be-integrated information to determine the information source reliability of each information difference item, comprising: comparing the online information collection channel in the online traceability identifier and the offline information collection channel in the offline traceability identifier in each set of information to be integrated to determine the channel reliability score of the post-distribution online member information and the post-distribution offline member information, wherein the scoring basis of the channel reliability score comprises that the online information collection channel has system automatic trace information, and the system automatic trace information comprises information submission time and submission device identifier, and the offline information collection channel has paper record archive, and the paper record archive comprises member confirmation signature; calculating a first time interval between the online identifier distribution time and the information verification time, and a second time interval between the offline identifier distribution time and the information verification time in each set of information to be integrated, and determining the information timeliness score of the post-distribution online member information and the post-distribution offline member information according to the first time interval and the second time interval; determining the operation credibility score of the post-distribution online member information and the post-distribution offline member information based on the operation permission level corresponding to the online operator information and the offline operator information in each set of information to be integrated; weighting and summing the channel reliability score, the information timeliness score, and the operation credibility score corresponding to the post-distribution online member information and the post-distribution offline member information respectively to obtain the comprehensive score corresponding to the post-distribution online member information and the post-distribution offline member information, and determining the information source reliability of each information difference item based on the comprehensive score.

4. The method of claim 2, wherein, retaining the target information difference item in each set of information to be integrated with information source reliability higher than a preset reliability, and adding target information supplementary description or manual review mark to the to-be-supplemented difference item with information source reliability lower than or equal to the preset reliability, to generate the information difference item content corresponding to each set of information to be integrated, comprising: marking the information difference item with information source reliability higher than the preset reliability as a target information difference item, and marking the information difference item with information source reliability lower than or equal to the preset reliability as a to-be-supplemented difference item in each set of information to be integrated; determining a target operator account according to the post-distribution online member information or the post-distribution offline member information to which the to-be-supplemented difference item belongs, and the online operator information or the offline operator information associated with the to-be-supplemented difference item; based on the target operator account, retrieving a target information supplementary description associated with the member information field of the to-be-supplemented difference item from the pre-stored information supplementary description record in the trade union information management system, if the target information supplementary description is retrieved, adding the target information supplementary description to the associated field corresponding to the original content of the to-be-supplemented difference item to form a combined difference item content, if the target information supplementary description is not retrieved, adding a manual review mark to the associated field corresponding to the original content of the to-be-supplemented difference item to obtain a difference item content after adding the mark; integrating the original content of the target information difference item, the combined difference item content, and the difference item content after adding the mark to form the information difference item content corresponding to each set of information to be integrated.

5. The method of claim 1, wherein, According to the member operation time and the information review state in the cross-platform information interaction data of the union members, data optimization processing and priority determination are performed on the online member information and the offline member information to obtain target online member information and target offline member information, including: The member operation time and the information review state are extracted from the cross-platform information interaction data of the union members, so as to mark the member operation time and the information review state to corresponding online member information and offline member information respectively to form to-be-processed online member information and to-be-processed offline member information; According to the member original identity information of the to-be-processed online member information and the to-be-processed offline member information, the to-be-processed online member information and the to-be-processed offline member information corresponding to the same member are classified to obtain a plurality of to-be-processed information sets of the same member; The to-be-processed information in each to-be-processed information set is retained, and the to-be-processed information in each to-be-processed information set is eliminated, wherein the time interval between the member operation time and the information processing time of the data optimization processing stage is less than the preset time interval, and the information review state is not passed, to obtain optimized online member information and optimized offline member information; The priority level of the optimized online member information and the optimized offline member information is evaluated, and the priority of the optimized online member information and the optimized offline member information in the same priority level is determined to obtain graded online member information and graded offline member information; The highest-priority graded online member information is selected as the target online member information, and the highest-priority graded offline member information is selected as the target offline member information.

6. The method of claim 1, wherein, The corresponding member identity identifier is assigned to the target online member information and the target offline member information to obtain assigned online member information and assigned offline member information, including: The member original identity information in the target online member information and the target offline member information is subjected to format standardization processing to obtain standardized identity information; The member identity identifier stored in the pre-constructed union member information database is searched, and if there is a stored member identity identifier matching the standardized identity information, the stored member identity identifier is assigned to the corresponding target online member information and target offline member information respectively to obtain assigned online member information and assigned offline member information; If there is no stored member identity identifier matching the standardized identity information, a unique member identity identifier is generated based on the key field in the standardized identity information and in combination with a preset unique coding rule, and the unique member identity identifier is assigned to the corresponding target online member information and target offline member information respectively to obtain assigned online member information and assigned offline member information.

7. The method of claim 1, wherein, An online traceability identifier is assigned to the assigned online member information, and an offline traceability identifier is assigned to the assigned offline member information, including: According to the channel identifier in the distributed online member information, the online information collection channel corresponding to the distributed online member information is determined, and according to the receiving channel identifier in the offline window record associated with the distributed offline member information, the offline information collection channel corresponding to the distributed offline member information is determined; The time when the distributed online member information completes the member identity allocation is taken as the online identity allocation time, the time when the distributed offline member information completes the member identity allocation is taken as the offline identity allocation time, the operation personnel account performing the member identity allocation operation is associated with the corresponding distributed online member information and distributed offline member information respectively to obtain online operation personnel information and offline operation personnel information; Based on the online information collection channel, the online identity allocation time and the online operation personnel information, the online traceability identifier corresponding to the distributed online member information is generated, and based on the offline information collection channel, the offline identity allocation time and the offline operation personnel information, the offline traceability identifier corresponding to the distributed offline member information is generated.

8. A big data based union membership information entry system characterized in that, It comprises: The forming module is used for forming the cross-platform information interaction data of the trade union member based on the operation record, historical information submission record and consultation feedback content of the trade union member in each trade union channel; The collection module is used for collecting the paper text information and electronic display information submitted by the trade union member through the offline window and the online member information submitted by the trade union member through each trade union channel, and converting the paper text information and electronic display information into offline member information; The processing module is used for performing data optimization processing and priority determination on the online member information and the offline member information according to the member operation time and information audit state in the cross-platform information interaction data of the trade union member to obtain target online member information and target offline member information; The allocation module is used for allocating corresponding member identity to the target online member information and target offline member information to obtain distributed online member information and distributed offline member information, and allocating online traceability identifier to the distributed online member information and offline traceability identifier to the distributed offline member information; The integration module is used for associating and integrating the distributed online member information and the distributed offline member information based on the member identity of the distributed online member information and the distributed offline member information, the online traceability identifier and the offline traceability identifier, and performing information checking to generate final trade union member information.

9. An electronic device, comprising: It comprises: The memory is used for storing the computer program; The processor is used for executing the computer program to realize the steps of the trade union member information input method based on big data according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer program is stored in the computer readable storage medium, and the computer program can realize the trade union member information input method based on big data according to any one of claims 1 to 7 when executed by the processor.

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