Constructing the intelligent entity matrix core industry publicity wisdom center
Facing the multimedia communication scenario of nuclear science and technology industry, we build an intelligent body matrix covering four business chains of hot spot capture, publicity planning, interview preparation, and event coordination. With multimodal large models and GraphRAG knowledge enhancement as the core, we achieve full-process intelligentization from information perception, content generation to project implementation, significantly compressing the response cycle, releasing human resources, and enhancing professional depth.
Background and Challenges
China National Nuclear Corporation, as the main body of China's nuclear science and technology industry, is facing three major challenges in the era of integrated media communication: weak timeliness of publicity content, lagging in response to hot issues, and homogenization of creativity.The traditional manual选题mode requires a lot of effort to screen information across the network, and it is difficult to capture sudden hotspots and industry dynamics in real time, leading to insufficient dissemination power of propaganda content.At the same time, it takes 4-6 hours per set to构思 the publicity planning scheme, 2-3 hours are needed to collect background information for the interview preparation, and it takes more than 20 hours to plan the event by referring to 12 historical documents.Information overload and the demand for multi-platform distribution further amplify the bottleneck of human resources, it is impossible to balance the timeliness, quality, and scale of content production, and it is urgent to replace repetitive brainwork with intelligent agents to achieve full-process intelligent upgrading.
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Difficult to screen information overload
Low efficiency of manual screening, detection rate over 40%, needs to manually integrate clues across 8+ platforms.
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Hot spot response delay
It takes 1-3 days from discovering hotspots to planning implementation, missing the best communication window.
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Creative exhaustion and homogenization
The proportion of repeated topics reaches 35%, and the homogenization rate of the program phase exceeds 65%.
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Inefficient professional preparation
Preparation for interviews takes 2-3 hours, the proportion of in-depth questions is less than 40%; only 35% of the event planning includes a complete emergency plan.
Solution
Building an intelligent entity matrix for the nuclear industry context by advancing in five steps: business definition, data governance, model training, scenario encapsulation, and continuous operation. Based on the mixed large model architecture (Douba Large Model 1.5 + ChatGLM3-6B + Qwen-14B-Chat), knowledge enhancement is realized through dual召回 with RAG and GraphRAG, and node-level model hot swapping and full-link process orchestration are achieved through an independently developed low-code engine. The capabilities of the intelligent entities are encapsulated as ready-to-use modules, embedded in existing collection and editing systems, and single sign-on and permission control are realized, making it possible to deploy without modifying the existing CMS.
DATA SENSING — Data Sensing Layer
500+ source real-time collection; historical article structured processing; festival hotspots/interview records library; nuclear industry vertical knowledge base.
AI ENGINE — Intelligent Body Engine Layer
Douba Large Model 1.5 Main Model; multi-model routing (ChatGLM/Qwen); RAG + GraphRAG dual recall; low-code process orchestration engine.
APPLICATION — Intelligent Body Application Layer
Hotspot Radar Intelligent Body; Publicity Planning Intelligent Body; Interview Navigation Device Intelligent Body; Event Planning Think Tank Intelligent Body.
Core characteristics
Hotspot Radar Intelligent Body
Build a closed-loop system of 'Four-dimensional Perception + AI Generation', real-time collection of 500+ sources, and evaluate hotspots through a three-dimensional scoring model of 'Communication Power + Relevance + Timeliness'. The response speed of hotspot response is compressed from >24 hours to <30 minutes, the theme innovation is increased by 62%, and the labor cost is saved by 80%.
Publicity Planning Intelligent Body
Build a trinity engine of 'spatiotemporal perception-hotspot integration-intelligent generation', supporting the recognition of more than 3500 global festivals and solstices, and automatically generating differentiated creative directions and cross-platform compatible copywriting. The speed of scheme generation is compressed from more than 4 hours to less than 3 minutes per set.
Interview navigation intelligent body
Through NLP parsing of the interviewee's historical statements to construct a view evolution graph, dynamically generating a three-dimensional structure outline of 'core issue-follow-up point-emergency path' and marking sensitive topic warnings. Preparation time compressed from 2-3 hours to less than 8 minutes.
Activity planning consultant intelligent body
By using NLP to decompose the elements of the scheme and match the TOP3 similar cases, integrate 12 types of external data such as meteorology, traffic, and public opinion to generate a three-dimensional risk matrix, and implement a full coverage of three-level emergency plans.
Profit and value
Build a wisdom publicity center in the context of nuclear industry through intelligent body matrices, and achieve full-chain second-level insight and minute-level generation.