What the data for this category looks like
This explanation is based on the workflow orchestration function of FastGPT v4.17.2. Core data for spraying and coating scenarios comes from coating supplier TDS/SDS, real-time data collected from spray booths and ovens, test results from colorimeters and film thickness gauges, environmental monitoring data, and MES systems. Daily documents include coating process cards, coating batch sheets, paint mixing records, film thickness and color difference reports, oven curves, defect repair orders, and VOCs logs. Data update schedules follow these rules: batch sheets are updated per coating batch, paint mixing and repair records are generated per shift, and oven and environmental data are collected continuously. Document fields include coating batch number, film thickness value (unit μm), color difference ΔE value, oven temperature curve nodes, VOCs concentration (unit mg/m³), and other related fields.
What constraints these characteristics impose on the "workflow orchestration" link
Multiple heterogeneous data sources require the workflow to integrate structured instrument data, semi-structured test reports, and unstructured process documents. Unified field mapping rules must be configured. Data sources with different update frequencies require different node trigger timings. Real-time oven and environmental data collected continuously must be bound to real-time trigger nodes. Batch-related coating sheets and process cards must be bound to batch completion events. The professional nature of document fields requires the workflow to extract numerical values with specific units for verification. This prevents invalid fields from interfering with audit logic. The severity of potential error consequences requires the workflow to include multi-layer verification links. These links intercept processes that do not meet process requirements in advance, and avoid batch repairs or compliance risks.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to long text documents such as coating process cards and paint mixing records, fully retains process parameters and batch information |
| Overlap Length | 100–150 characters | Prevents key fields such as film thickness and oven temperature from being lost after long documents are split |
| Similarity Threshold | 0.75–0.85 | Used to match coating batch sheets and on-site test data, filter invalid associations with low matching degrees |
| Single Recall Limit | Top 8 entries | Matches multi-dimensional test data of spraying processes, avoids redundant information interfering with audit logic |
| Variable Binding | Bind batch number, film thickness value, VOCs concentration via variables | Associates on-site collection fields defined in variables to enable automatic verification |
| Node Timeout | 300 seconds | Adapts to the parsing and matching process of large files such as oven curves and color difference reports |
Three common mistakes
- The symptom is a "Load file error" prompt when uploading a coating process card or test report. The cause is failure to bind the coating batch number in
variablesper batch, which causes file association verification to fail. - The symptom is no execution logs for the file parsing node in the workflow. The cause is failure to configure the node start rule based on batch completion, which causes files uploaded outside the trigger window to not be processed.
- The symptom is the code running node failing to execute custom verification logic. The cause is failure to explicitly specify the professional fields to be verified, which causes the code to fail to read the corresponding data.
How to confirm the configuration is complete
- Upload a single coating process card, check if the input and output of workflow nodes include preset field information.
- Simulate submitting a batch of coating test data, check if the similarity matching node returns associated documents that comply with the set rules.
- Upload an oven curve file, confirm that the parsing node completes parsing within the set timeout period.
- Trigger a complete workflow, check if the final output includes preset audit verification items.
The values given are common starting points and should be measured against the reader's own samples.