What the data for this category looks like
This category serves EHS departments and production inspection and maintenance teams of manufacturing enterprises in chemical, metallurgical, machinery, light industry and other sectors. Daily processed documents include risk identification checklists, work tickets for hot work, confined space work, lifting work and similar tasks, environmental monitoring records, hazardous waste ledgers, emission monitoring reports, and accident and hidden danger rectification reports. Data sources include national and industry regulatory standards, online environmental monitoring equipment, gas detectors, operator qualification documents, equipment isolation lists, and data submitted to regulatory platforms. Updates happen in real time as work completes, sync directly from monitoring systems, or aggregate and archive during regular inspections. Document fields cover work type, detection values, qualification numbers, emission indicators, rectification deadlines and other details. Some documents include graphic and text content such as schematic diagrams and point markers.
What constraints these characteristics impose on document parsing and chunking
Document types in this category are diverse, with significant structural differences. Some are plain-text risk identification checklists, while others combine text and graphics, such as work tickets and monitoring reports. Some Excel documents include detection records with embedded images. Data comes from two sources: manual upload and direct device upload. Update frequencies vary widely. The total size of documents uploaded in a single batch may be large. Core business workflows such as risk identification and qualification verification require complete paragraph-level associations of information. Excessive chunking that breaks logical connections must be avoided. Some fields use specific industry units such as ppm and mg/m³. Parsing must retain the correspondence between fields and values to prevent information misalignment.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Aligns with the length of single segments of work tickets and monitoring records, avoids splitting that breaks the complete logic of risk identification and qualification verification |
chunkSplitter | Split by paragraph + title | Matches the hierarchical structure of work tickets, retains the association between titles such as hot work and confined space work and their corresponding content |
customPdfParse | Enable mixed graphic and text parsing | Compatible with work schematics and monitoring point markers in work tickets, prevents loss of associated graphic and text information |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses parsing time for long documents such as hazardous waste ledgers and monthly emission monitoring reports, prevents timeout errors |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch upload of annual hidden danger rectification reports and full-plant monitoring data summary files |
Three Common Errors
- Symptom: Parsing tasks take a long time, and only one GPU card is loaded in multi-GPU device resource monitoring. Cause: Multi-GPU scheduling logic is not configured. The system uses the default single GPU resource, which does not support multi-GPU parallel parsing requirements.
- Symptom: Parsed PDF-format work tickets do not include work schematics or monitoring point marker content, and corresponding fields are empty. Cause: The graphic and text parsing mode of
customPdfParseis not enabled. Only plain text content is extracted, and embedded visual information is ignored. - Symptom: Parsed Excel-format monitoring records have empty fields for embedded detection point images. Cause: The parsing switch for Excel embedded images is not configured. Only table text content is extracted, and image information is ignored.
How to Confirm Configurations Are Properly Set
- Upload a single PDF hot work ticket, and check if the parsing result includes graphic and text content such as work schematics and hot work grade. This confirms the
customPdfParseconfiguration takes effect. - Upload an Excel monthly hazardous waste ledger with more than 10 pages, and check that the parsing process has no timeout errors. This confirms the
PARSE_FILE_TIMEOUT_SECONDSsetting is reasonable. - Upload a Word document containing multiple segments of monitoring data, and check that the chunking results retain the paragraph-level association of monitoring points and detection values, with no excessive chunking.
- View the system resource monitoring panel of FastGPT v4.17.0, and confirm that multi-GPU devices are called in parallel, with balanced load across parsing tasks.
The values provided are common starting points and should be evaluated against the reader's own samples.