What this category of data covers
This category of data covers the full production process of hot rolling, cold rolling, section steel, and steel pipe enterprises. Data sources include slab or billet batches, heating furnaces, mill automatic control systems, online thickness and width measuring equipment, surface inspection devices, and MES systems. Daily documents include rolling plans, heating schedules, rolling regulations, plate shape and thickness records, surface quality reports, and quality certificates. Data is updated in real time per coil or per product unit. Fields include batch number, temperature parameters, thickness tolerances, surface defect levels, and other information linked to the full coil-level traceability chain.
Constraints on multi-turn dialogue and prompting
Real-time updated batch data requires that multi-turn dialogue contexts must be bound to chatId and the corresponding coil/steel pipe batch number to avoid cross-batch context confusion. The strong correlation of coil-level traceability requires that prompts only be associated with rolling, inspection, and maintenance documents for the current batch, and irrelevant batch data must not be called. The complex structure of multiple document types requires that prompts pre-specify the range of callable fields to reduce unnecessary information retrieval. The high-frequency update per coil or per product unit requires that the dialogue module synchronously obtain the latest plate shape and thickness records to avoid generating maintenance suggestions using expired data.
Configuration settings
The following table outlines recommended configuration options and their rationales:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bound to the steel coil batch number | Matches the business requirements of coil-level traceability, ensuring multi-turn dialogue contexts are associated with corresponding batch data |
messages | Retain the last 10 rounds of dialogue content | Covers the complete process from inspection to maintenance for a single batch, preventing context truncation and loss of key information |
variables | Set a single-round input character threshold of 8000–12000 characters | Matches the average length of steel rolling equipment documents, preventing unblocked error triggers from input over-limit |
| Maximum context length | 60000 characters | Adapts to batch import of rolling regulations and surface quality report content in multi-turn dialogues |
| Question optimization | Enable automatic completion of rolling batch numbers | Simplifies input operations for inspection personnel and reduces input errors for batch numbers |
| FastGPT version | v4.17.0 | Ensures multimodal input and context binding functions operate correctly |
Three common misconfigurations
- No cite reference IDs are returned in dialogue request results. Cause: No reference format requirements for associated rolling batch documents are specified in the prompt, and no context association rules for corresponding data sources are bound.
- Unblocked error triggers when input content exceeds the AI model limit. Cause: No input length verification rules are configured, and the single-round input character threshold is not bound via
variables. - JPG format inspection photos cannot be parsed directly. Cause: Multimodal input configuration is not enabled, and supported attachment formats and parsing requirements are not specified in the prompt.
How to confirm successful configuration
- Initiate a multi-turn dialogue containing a known steel coil batch number, and check whether
chatIdautomatically binds context information for the corresponding batch. - Input text content exceeding the preset threshold, and confirm that the system triggers an input over-limit block prompt.
- Upload a JPG format surface inspection photo, and check whether the dialogue module can parse the photo content and associate it with the current batch’s production data.
- Initiate a maintenance Q&A request, and check whether the returned results include traceable cite reference identifiers.
The values provided are common starting points and should be measured against the reader's own samples.