Lightweight government affair questionnaire intelligent touch and analysis system and method based on fusion message

Abstract

The invention discloses a light-weight government affair questionnaire intelligent touch and analysis system and method based on a fusion message, and the system comprises an integrated message application platform operation interface which is used for the submission, application, strategy definition and transmission of a customer message; the questionnaire engine is used for generating questionnaires, issuing strategies and performing multi-dimensional statistical analysis on questionnaire results; the intelligent message scheduling engine is used for realizing AI generation of rich media messages, multi-channel intelligent reach distribution, optimal reach mode selection and summary analysis of reach mode results; and the electronic fence data engine is used for processing operator real-time signaling big data and capturing operator numbers and accurate touch short messages in a specified range. An efficient and convenient short message creation and auditing mechanism, flexible and diversified questionnaire construction, intelligent rich media message generation, accurate regional orientation and audience access, intelligent distribution, high interactivity, comprehensive and deep data analysis and report generation can be realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of big data analysis, and specifically relates to a lightweight government affairs questionnaire intelligent reaching and analysis system and method based on fused messages. Background Art

[0002] At present, the messaging business is mainly based on the three networks’ SMS. New message types represented by 5G messages and 5G reading are booming as a substitute for traditional SMS. The biggest difference between 5G messages and ordinary text messages is the display form and chatbot interaction. The click rate of 5G messages is 14 times that of traditional SMS, and the conversion rate is 40 times that of traditional SMS. This means that the information sent by enterprises through 5G messages is more likely to be noticed by users and generate corresponding actions.

[0003] With the popularization of 5G technology and mobile Internet services, the construction of government informationization is gradually deepening, and there are higher requirements for the efficient issuance, collection and processing of government questionnaires. Therefore, how to make full use of various communication methods such as 5G messages, 5G letter reading, video SMS, industry SMS, etc., combined with the operator's unique real-time signaling big data, to achieve intelligent access and convenient interaction of government questionnaires, and at the same time conduct in-depth mining and visual presentation of uplink SMS, is the key to the current upgrade of government information services. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a lightweight government survey questionnaire intelligent access and analysis system and method based on fusion messages in view of the deficiencies of the above-mentioned prior art, and to realize lightweight design, intelligent distribution, interactive feedback and visual statistical analysis of government survey questionnaires by integrating multiple message forms. Specifically, by using advanced 5G communication technology and combining diversified message forms, such as 5G messages / 5G reading letters, video text messages, and industry text messages, the problems of low efficiency and poor interactive experience in traditional government survey questionnaires can be solved, and the quality and efficiency of government services can be improved; the whole process of designing, sending, receiving, filling in and feedback of government survey questionnaires can be made lightweight, intelligent and real-time, which can reduce the burden on participants, enhance interactivity, and thus improve the recovery rate and data quality of questionnaires; in view of the statistical needs of a large number of uplink text messages in government scenarios, efficient text mining and data analysis technologies are developed, and the survey results are intuitively displayed in the form of word cloud diagrams, which can help government decision makers quickly grasp the dynamics of public opinion, accurately identify social hot issues, and further optimize public policy formulation and service supply.

[0005] In order to achieve the above technical objectives, the technical solution adopted by the present invention is:

[0006] A lightweight government questionnaire intelligent access and analysis system based on fusion messaging, which adopts a microservice architecture and includes an integrated messaging application platform operation interface, a questionnaire engine, an intelligent message scheduling engine, and an electronic fence data engine;

[0007] The integrated message application platform operation interface is a web portal for user interactive operations, used for submission, application, policy definition, and sending of customer messages;

[0008] The questionnaire engine is used to generate questionnaires, publish strategies, and conduct multi-dimensional statistical analysis on questionnaire results;

[0009] The intelligent message scheduling engine is used to realize AI generation of 5G messages / 5G reading rich media messages, intelligent reach distribution of 5G messages / 5G reading / industry SMS / emails through multiple channels, select the best reach method according to the user terminal, and summarize and analyze the results of the reach methods;

[0010] The electronic fence data engine is used to process the operator's real-time signaling big data, calculate the operator numbers within a specified range, and accurately reach government text messages.

[0011] To optimize the above technical solutions, the specific measures taken also include:

[0012] The AI ​​generation of the above-mentioned 5G message / 5G Yuxin rich media message is specifically: generating rich media based on text images according to ordinary text messages input by customers.

[0013] A lightweight government affairs questionnaire intelligent reaching and analyzing method based on fusion message, comprising:

[0014] S1. Create ordinary SMS through the integrated messaging application platform operation interface;

[0015] S2. The questionnaire engine uses a public template or a custom template to create a questionnaire and associates it with a SMS task;

[0016] S3, Rich Media Message Generation: The intelligent message scheduling engine automatically generates rich media elements based on the SMS content and the questionnaire content through NLP processing by AI algorithms, and then generates 5G message / 5G reading templates, converting the questionnaire into 5G message / 5G reading, video SMS, industry SMS, and email carriers;

[0017] S4. SMS and questionnaires are sent to the designated area. Customers configure the electronic fence delivery strategy through the integrated message application platform, and process the real-time big data signaling within the electronic fence range in combination with the electronic fence data engine to obtain the mobile phone numbers within the electronic fence range;

[0018] S5, intelligent message scheduling engine, based on the user terminal feature library, distributes the questionnaire to the target user group through 5G messaging / 5G reading, video SMS, industry SMS, and email, and provides real-time interactive feedback;

[0019] S6. The intelligent message scheduling engine conducts multi-dimensional statistical analysis on the success rate of 5G messages, 5G reading, industry SMS, and email messages to form message reach results;

[0020] S7. The questionnaire engine analyzes, processes and compiles statistics on the questionnaire data to form a questionnaire report result;

[0021] S8. The integrated message application platform operation interface integrates the message reach results and questionnaire report results to generate and display a customer overview result report.

[0022] The above-mentioned integrated message application platform operation interface uses the Vue.js front-end framework to design the interactive interface, provides a public template / custom template selector, and integrates a form building tool, allowing users to drag and drop components to build questionnaires; uses the Spring Boot or Django back-end framework to design a RESTful API for saving questionnaire structure and question option data; its database includes a questionnaire table, a question table, an option table, and a questionnaire and SMS task association table; the operating logic of the integrated message application platform operation interface is: the user creates an ordinary SMS through the front-end interactive interface, selects or creates a questionnaire based on the questionnaire engine, submits it to the back-end for storage, and triggers the review process. After the review is passed, the questionnaire is associated with the corresponding SMS task, and prepares for the next step of rich media message generation; the design fields of the questionnaire table are: questionnaire ID, title, description, creation time, status, and associated SMS task ID; the design fields of the question table are: question ID, question text, question type, and questionnaire ID; the design fields of the option table are: option ID, option text, question ID, and whether it is correct.

[0023] The above-mentioned S3 specifically includes:

[0024] Use BERT and Transformer models to perform deep learning processing on SMS content and questionnaire content to extract key information and semantics. Based on the extracted key information and semantics, use the model trained by the TensorFlow framework to generate rich media elements, including picture and text cards, and video clips. According to the 5G message / 5G reading standard, the generated elements are adapted to the corresponding template format.

[0025] The above-mentioned S4 electronic fence data engine monitors the signaling data within the electronic fence in real time, uses Kafka to clean and aggregate the signaling data, captures mobile phone signals in a specific area, and builds user portraits based on user terminal characteristics, location information, and historical interaction data.

[0026] The above-mentioned S5 performs intelligent identification and matching of messages through the number terminal feature library. The number terminal feature library comes from the big data of the leading terminal manufacturers and operators and is updated daily. The fusion message platform uses the database engine and combines the tree data structure to achieve efficient and intelligent matching of hundreds of millions of numbers. The fusion message platform selects the best way to reach the target user according to the matching strategy of the SMS network for the mobile phone number and the terminal feature library, realizes intelligent message reach distribution, and forms a distribution record table, including: record ID, target user mobile phone number, sending content ID, sending time, sending status, and delivery time.

[0027] In the above-mentioned S8, the integrated messaging application platform operation interface uses ECharts and Tableau tools to produce success rate statistics and word cloud analysis chart reports.

[0028] The present invention has the following beneficial effects:

[0029] Efficient and convenient SMS creation and review mechanism: Customers can directly create ordinary SMS and submit qualification materials on the operation interaction page, reducing the complicated steps in the traditional process and improving work efficiency. The integrated background review mechanism ensures the compliance and timeliness of the content and improves the speed of government information release.

[0030] Flexible and diverse questionnaire construction: It provides a combination of public templates and custom templates, which not only meets the needs of rapid deployment, but also takes into account personalized customization, enhances the applicability and attractiveness of the questionnaire, and promotes wider public participation.

[0031] Intelligent rich media message generation: AI algorithms are used to perform natural language processing (NLP) on SMS and questionnaire contents to automatically generate rich media messages, which not only enriches the presentation of information but also improves the user experience. Especially in the 5G environment, it supports richer interactive functions such as instant feedback and page jumps, greatly improving interactivity and feedback efficiency.

[0032] Precise regional targeting and audience reach: The configuration of the electronic fence strategy makes information push more accurate, which can effectively target the target population in a specific area, reduce unnecessary waste of resources, and improve the effectiveness and pertinence of information dissemination.

[0033] Intelligent distribution and high interactivity: With the help of 5G network characteristics and combined with user terminal data, highly personalized information push is achieved to ensure accurate delivery of information. At the same time, it supports questionnaire interaction directly within the message, greatly improving user participation and questionnaire collection rate, and optimizing data collection efficiency.

[0034] Comprehensive and in-depth data analysis and report generation: From message reach statistics to questionnaire analysis, and then to the final customer overview report, it provides multi-dimensional and visual data analysis tools. This not only helps to quickly identify public concerns and opinion trends, but also provides scientific and detailed data support for government decision-making, enhancing the accuracy and timeliness of decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a diagram of the system structure of the present invention;

[0036] Figure 2 This is a schematic diagram of applying for a SMS signature template;

[0037] Figure 3 This is a schematic diagram of the application content template;

[0038] Figure 4 Create a questionnaire diagram for users;

[0039] Figure 5 Generate a template diagram for 5G message / 5G reading;

[0040] Figure 6 This is a schematic diagram for configuring the electronic fence area;

[0041] Figure 7 Schematic diagram of tag selection information for configuring an electronic fence;

[0042] Figure 8 Display a schematic diagram for task details;

[0043] Fig. 9 Configure schematics for distribution;

[0044] Fig.10 This is a schematic diagram of the reach effect;

[0045] Fig.11 This is a schematic diagram of the industry SMS report;

[0046] Fig.12 This is a schematic diagram of the 5G letter reading report;

[0047] Fig.13 This is a schematic diagram of a 5G message report;

[0048] Fig.14 This is a schematic diagram of a word cloud diagram;

[0049] Fig.15 This is a diagram of the questionnaire report. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0051] Although the steps in the present invention are arranged with numbers, they are not used to limit the order of the steps. Unless the order of the steps is clearly stated or the execution of a certain step requires other steps as a basis, the relative order of the steps can be adjusted. It is understood that the term "and / or" used in this article involves and covers any and all possible combinations of one or more of the associated listed items.

[0052] The present invention provides a lightweight government questionnaire intelligent access and analysis system based on fusion messages, which adopts a microservice architecture and functional decoupling. The services mainly include an integrated message application platform operation interface, a questionnaire engine, an intelligent message scheduling engine, and an electronic fence data engine:

[0053] Integrated message application platform operation interface: a web portal for user interaction operations, where customers can submit, apply, define policies, and send messages.

[0054] Questionnaire engine: realizes the generation of questionnaires and the release of strategies, and conducts multi-dimensional statistical analysis on the questionnaire results

[0055] Intelligent message scheduling engine: realizes AI generation of 5G message / 5G reading rich media messages, that is, generates rich media based on text images according to ordinary SMS input by customers. Realizes intelligent distribution of 5G message / 5G reading / industry SMS / email through multiple channels, selects the best contact method according to the user terminal, and summarizes and analyzes the results of the above multiple contact methods

[0056] Electronic fence data engine: realizes the processing of real-time signaling big data of operators, calculates the operator numbers within the specified range, and realizes the accurate reach of government SMS

[0057] The invention provides a lightweight government affairs questionnaire intelligent access and analysis method based on fusion message, and the implementation process sequence diagram is as follows: Figure 1 The specific process is described as follows:

[0058] S1. Create ordinary SMS: The customer logs in to the operation interaction page, creates ordinary SMS and qualification materials, and the integrated message application platform background review.

[0059] S2. Create a questionnaire: The questionnaire module provides two methods: public templates and custom templates. The public templates contain commonly used templates by default. After successful creation, you can associate the SMS task

[0060] S3. AI generation of rich media messages: Based on the content of user SMS and questionnaire, AI algorithm is used for NLP processing to automatically generate the card content required for rich media messages, and then generate 5G message / 5G reading templates. The government questionnaire is converted into a form suitable for 5G message / 5G reading, video SMS, and industry SMS, such as the response of interactive time, and supports interactive filling of questionnaire content and page jump functions;

[0061] S4. Electronic fence strategy configuration: If government SMS + questionnaires need to be sent to a specified area, the customer configures the electronic fence delivery strategy. The integrated message application platform processes the real-time big data signaling within the range according to the electronic fence and obtains the mobile phone numbers within the range.

[0062] S5. Intelligent reach and distribution: Taking advantage of the 5G network and combining the user terminal feature library, the survey questionnaire is accurately delivered to the target user group through 5G messages / 5G reading letters, video SMS, industry SMS, etc.; Real-time interactive feedback: The 5G message / 5G reading letter platform supports users to complete the questionnaire directly in the message, achieving seamless interaction and improving the questionnaire collection rate;

[0063] S6. Message reach report: 5G messages, 5G letter reading, and industry SMS reach reports have different dimensions. Through multi-dimensional statistical analysis, the message success rate is counted. Statistical report generation and analysis: Statistical analysis is performed on the received uplink SMS, key information is extracted, and statistical results are displayed in the form of word cloud diagrams, etc., so that decision makers can quickly understand the focus of public attention and opinion trends;

[0064] S7. Questionnaire report: Analyze and process the questionnaire to obtain statistical results, and support customized analysis and survey reports.

[0065] S8. Customer Overview Report: Generate a result report based on comprehensive message reach and questionnaire report results, and display the above statistical analysis results in the form of charts, etc., to provide strong data support for government decision-making.

[0066] In the embodiment, 1) for the questionnaire

[0067] Technical implementation: Front-end design: Use Vue.js front-end framework to design interactive interface, provide template selector (public template / custom template), and integrate form building tool, allowing users to drag components (such as single choice, multiple choice, fill in the blank, etc.) to quickly build questionnaires. Back-end logic: Use back-end frameworks such as Spring Boot or Django, and design RESTful API to save data such as questionnaire structure and question options. Database design includes questionnaire table, question table, option table, and questionnaire and SMS task association table.

[0068] Brief description of field design: Questionnaire table: Questionnaire ID, title, description, creation time, status (under review / published), and associated SMS task ID. Question table: Question ID, question text, question type (single choice, multiple choice, fill-in-the-blank, etc.), and questionnaire ID. Option table: Option ID, option text, question ID, and whether it is correct (for multiple-choice questions).

[0069] Logical design: After the user selects or creates a questionnaire through the front-end interface, it is submitted to the back-end for storage and triggers the review process. After the review is passed, the questionnaire is associated with the corresponding SMS task and is ready for the next step of rich media message generation.

[0070] The application SMS signature template and application content template for the user to log in to the self-service platform operation interface of the present invention are as follows: Figure 2 , Figure 3 As shown. Figure 4 shown.

[0071] 2) Message AI Generation (AIGC)

[0072] Technical implementation: NLP processing: Use BERT, Transformer and other models to perform deep learning processing on SMS content and questionnaire text to extract key information and semantics. Content generation: Based on the extracted information, use the model trained by the TensorFlow framework to generate rich media elements, such as picture and text cards, video clips, etc. Template adaptation: According to the 5G message / 5G reading standard, adapt the generated content to the corresponding template format.

[0073] Field design: AI generated content table: generated content ID, original SMS ID, questionnaire ID, rich media type (picture, text, video, etc.), generation time, status (draft / published).

[0074] Logical design: Receive approved SMS and questionnaire data, perform NLP analysis, generate corresponding rich media content, store and associate it with the corresponding tasks.

[0075] 5G message / 5G reading letter generation template Figure 5 shown.

[0076] 3) Intelligent message distribution

[0077] Technical implementation: Intelligent message identification and matching through the number terminal database;

[0078] On the one hand, it relies on the number terminal library of the converged messaging platform. The number terminal library comes from the big data of the head terminal manufacturers and operators and is updated daily. The converged messaging platform uses database engines such as ES and combines tree data structures to achieve efficient and intelligent matching of hundreds of millions of numbers, and can achieve 2000 concurrent millisecond-level responses; on the other hand, the integrated production and fallback priority algorithm of the 5G message, 5G letter reading, and industry SMS of the converged messaging platform will be intelligently triggered according to the matching results, that is, the message is reached, which is better than the industry's method of sending and falling back step by step. Combining the above two aspects, the converged messaging platform selects the best way to reach the target user according to the matching strategy of the SMS network for the mobile phone number and the terminal feature library, realizes intelligent message reach distribution, and forms a distribution record table, including: record ID, target user mobile phone number, sending content ID, sending time, sending status, and delivery time.

[0079] Field design: Distribution record table: record ID, target user’s mobile phone number, sent content ID, sending time, sending status (success / failure), and delivery time.

[0080] Logical design: Filter out the best message type for target users based on the SMS network's matching strategy for mobile phone numbers and terminal libraries.

[0081] In the embodiment, the electronic fence area is configured under the electronic fence generation strategy as follows Figure 6 As shown, the tag selection information for configuring the electronic fence is as follows Figure 7 As shown, the task details are shown as Figure 8 As shown, the distribution configuration is as follows Fig. 9 As shown, the reach effect is as follows Fig.10 shown.

[0082] 4) Signaling data processing

[0083] Technical implementation: Real-time processing engine: Use Kafka to process real-time data streams and capture mobile phone signals in a specific area. Big data analysis: Based on the Hadoop-based big data analysis platform, the signaling data is cleaned and aggregated to extract the target mobile phone number. User portraits are constructed based on user terminal characteristics, location information, historical interaction data, etc.

[0084] Field design: Signaling data table: record ID, mobile phone number, geographic location, signal strength, and timestamp.

[0085] Logical design: Real-time monitoring of signaling data within the electronic fence area, through big data cleaning, screening, deduplication and other operations, according to the strategy to select valid mobile phone numbers, to provide data support for intelligent distribution.

[0086] 5) Statistical Report

[0087] Technical implementation: Data collection: Collect data from channels such as message reach, uplink SMS, and questionnaire feedback. Report generation: Use tools such as ECharts and Tableau to create charts, including success rate statistics and word cloud analysis.

[0088] Logical design: Regularly and automatically run batch statistics of data in various dimensions, generate statistical reports and analysis reports, and provide them to the decision-makers for reference.

[0089] In the embodiment, the industry SMS report is as follows: Fig.11 As shown, the 5G letter reading report is as follows Fig.12 As shown, the 5G message report is as follows Fig.13 As shown in the word cloud diagram, Fig.14 As shown in the questionnaire report, Fig.15 shown.

[0090] In the present invention, the terms are explained as follows:

[0091] 5G Message: 5G Message is an advanced message service based on the fifth generation mobile communication technology (5G), which adopts the Rich Communication Services (RCS) protocol standard. 5G Message aims to upgrade the traditional SMS service, transforming the original single text communication into a rich media communication experience containing multimedia content such as pictures, text, audio and video, files, and locations. Users can send and receive information containing rich media content directly through the messaging application that comes with their mobile phone without installing additional applications. This service allows more interactive and vivid communication between enterprises and individual users, supports multiple functions such as one-click interaction, online shopping, and appointment services, and improves the practicality and user experience of messaging services.

[0092] AIGC (Artificial Intelligence Generated Content): AIGC stands for Artificial Intelligence Generated Content, which is a method of automatically generating content using artificial intelligence technology. This technology uses machine learning, deep learning and other algorithms to automatically create content in various forms such as text, images, audio, and video according to preset rules or learning from large amounts of data. AIGC can assist in a variety of application scenarios such as creation, personalized recommendations, automated reporting, and content optimization. It is characterized by high efficiency, customizability, and the ability to be mass-produced.

[0093] Converged messaging: Converged messaging generally refers to the integration of multiple communication channels and technologies to provide a unified and enhanced communication experience. Under this concept, it is not just an upgrade of SMS and MMS, but covers the seamless integration of multiple communication methods such as instant messaging, social media, email, voice, video calls, etc. The purpose of converged messaging is to break the boundaries between communication methods so that users can get a consistent and rich communication experience no matter which channel they choose. In enterprise-level applications, converged messaging may also include CRM system integration, automated marketing, intelligent customer service and other functions to help companies communicate and serve customers more effectively. In the 5G era, converged messaging places more emphasis on the use of high-speed networks and AI technology to provide more personalized and intelligent service content and interaction methods.

[0094] Signaling big data: Signaling big data refers to the collection of control signals and protocol data generated by a large number of communication devices (such as mobile phones, base stations, etc.) in the process of establishing, maintaining and terminating communication connections in modern communication networks. These data contain detailed records of interactions between devices, including but not limited to call establishment requests, routing information, network status updates, location registration, data session management, etc.

[0095] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0096] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A lightweight government questionnaire intelligent access and analysis system based on fusion messages, using a microservice architecture, characterized by: Includes integrated message application platform operation interface, questionnaire engine, intelligent message scheduling engine, and electronic fence data engine; The integrated message application platform operation interface is a web portal for user interactive operations, used for submission, application, policy definition and sending of customer messages; The questionnaire engine is used for questionnaire generation, strategy release and multi-dimensional statistical analysis of questionnaire results; The intelligent message scheduling engine is used to realize AI generation of 5G messages / 5G reading rich media messages, intelligent reach distribution of 5G messages / 5G reading / industry SMS / emails through multiple channels, select the best reach method according to the user terminal, and summarize and analyze the results of the reach methods; The electronic fence data engine is used to process the operator's real-time signaling big data, capture the operator's numbers within a specified range, and accurately reach government text messages.

2. According to the lightweight government affairs questionnaire intelligent reaching and analyzing system based on fusion message of claim 1, it is characterized by: The AI ​​generation of the 5G message / 5G reading rich media message is specifically: generating rich media based on text images according to the ordinary text messages input by the customer.

3. A lightweight government affairs questionnaire intelligent reaching and analyzing method based on fusion message according to the system of claim 1 or 2, characterized in that: include: S1. Create ordinary SMS through the integrated messaging application platform operation interface; S2. The questionnaire engine uses a public template or a custom template to create a questionnaire and associates it with a SMS task; S3, Rich Media Message Generation: The intelligent message scheduling engine automatically generates rich media elements based on the SMS content and the questionnaire content through NLP processing by AI algorithms, and then generates 5G message / 5G reading templates, converting the questionnaire into 5G message / 5G reading, video SMS, industry SMS, and email carriers; S4. SMS and questionnaires are sent to the designated area. Customers configure the electronic fence delivery strategy through the integrated message application platform, and process the real-time big data signaling within the electronic fence range in combination with the electronic fence data engine to obtain the mobile phone numbers within the electronic fence range; S5, intelligent message scheduling engine, based on the user terminal feature library, distributes the questionnaire to the target user group through 5G messaging / 5G reading, video SMS, industry SMS, and email, and provides real-time interactive feedback; S6. The intelligent message scheduling engine conducts multi-dimensional statistical analysis on the success rate of 5G messages, 5G reading, industry SMS, and email messages to form message reach results; S7. The questionnaire engine analyzes, processes and compiles statistics on the questionnaire data to form a questionnaire report result; S8. The integrated message application platform operation interface integrates the message reach results and questionnaire report results to generate and display a customer overview result report.

4. According to claim 3, a lightweight government affairs questionnaire intelligent reaching and analyzing method based on fusion message is characterized in that: The integrated messaging application platform operation interface uses the Vue.js front-end framework to design the interactive interface, provides a public template / custom template selector, and integrates a form building tool to allow users to drag and drop components to build questionnaires; uses the Spring Boot or Django back-end framework to design a RESTful API for saving questionnaire structure and question option data; Its database includes questionnaire table, question table, option table and questionnaire and SMS task association table; The operating logic of the integrated message application platform operation interface is: the user creates an ordinary text message through the front-end interactive interface, selects or creates a questionnaire based on the questionnaire engine, submits it to the back-end for storage, and triggers the review process. After the review is passed, the questionnaire is associated with the corresponding SMS task, and prepares for the next step of rich media message generation; the design fields of the questionnaire table are: questionnaire ID, title, description, creation time, status, and associated SMS task ID; the design fields of the question table are: question ID, question text, question type, and questionnaire ID; the design fields of the option table are: option ID, option text, question ID, and whether it is correct.

5. According to claim 3, a lightweight government affairs questionnaire intelligent reaching and analyzing method based on fusion message is characterized in that: The S3 specifically includes: Use BERT and Transformer models to perform deep learning processing on SMS content and questionnaire content to extract key information and semantics. Based on the extracted key information and semantics, use the model trained by the TensorFlow framework to generate rich media elements, including picture and text cards, and video clips. According to the 5G message / 5G reading standard, the generated elements are adapted to the corresponding template format.

6. According to claim 3, a lightweight government affairs questionnaire intelligent reaching and analyzing method based on fusion message is characterized in that: The S4 electronic fence data engine monitors the signaling data within the electronic fence in real time, uses Kafka to clean and aggregate the signaling data, captures mobile phone signals in a specific area, and builds user portraits based on user terminal characteristics, location information, and historical interaction data.

7. According to claim 3, a lightweight government affairs questionnaire intelligent reaching and analyzing method based on fusion message is characterized in that: The S5 performs intelligent identification and matching of messages through the number terminal feature library. The number terminal feature library comes from the big data of leading terminal manufacturers and operators and is updated daily. The fusion message platform uses a database engine combined with a tree data structure to achieve efficient and intelligent matching of hundreds of millions of numbers. The fusion message platform selects the best way to reach the target user based on the matching strategy of the SMS network for mobile phone numbers and terminal feature libraries, realizes intelligent message reach and distribution, and forms a distribution record table, including: record ID, target user mobile phone number, sending content ID, sending time, sending status, and delivery time.

8. According to claim 3, a lightweight government affairs questionnaire intelligent reaching and analyzing method based on fusion message is characterized in that: In the S8, the integrated message application platform operation interface uses ECharts and Tableau tools to produce success rate statistics and word cloud analysis chart reports.

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