What the data for this category looks like
Data sources for thermal industry research reports include domestic thermal industry association operation briefings, public annual operation reports from provincial and municipal thermal groups, special statistical materials from energy regulatory authorities, and special survey documents from professional energy consulting institutions.
Update frequency follows regular quarterly cycles. Monthly operation analysis reports are added during heating seasons, which run from November to March each year.
Documents use a multi-chapter format, with modules covering overall industry supply and demand data, regional thermal supply status, enterprise operation indicators, and policy interpretation. Core fields include total thermal supply volume, unit heating cost, pipe network loss rate, and heating coverage area. Corresponding units are gigajoules, yuan per gigajoule, percentage, and ten thousand square meters.
What constraints do these characteristics impose on workflow orchestration
Dispersed data sources and seasonal update differences require workflows to support both quarterly and monthly scheduled trigger configurations. This adapts to different cycle research report synchronization needs.
Complex multi-chapter document structures require configuring document segmentation in workflows to retain contextual associations of core fields. This avoids loss of data relationships after splitting.
Field differences between regional and enterprise indicators require adding field standardization mapping nodes in workflows. This unifies output field formats from different source research reports.
Surges in data volume during heating seasons require workflows to reserve adjustable concurrency processing limits. This prevents single-node processing overload.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_DOC_SPLIT_LENGTH | 800–1200 characters | Thermal industry research reports are mostly long documents. This segmentation length retains associations between industry indicators and context, avoiding field breakage after splitting |
RECALL_TOP_K | Top 8 results | Core indicators of thermal industry research reports are concentrated. A small number of recalls can cover core information, avoiding interference from redundant data |
SIMILARITY_THRESHOLD | 0.72–0.78 | Terminology in the thermal industry is highly specialized. A threshold that is too low will introduce irrelevant research reports, while a threshold that is too high may miss relevant content |
WORKFLOW_TIMEOUT | 900 seconds | Large volume of research report data during heating seasons leads to longer processing time. This duration covers conventional synchronization and retrieval processes |
HTTP_CUSTOM_VAR_PARSE_MODE | Parse by field name mapping | Thermal industry research report interfaces return many fields. Parsing by field name avoids variable matching errors |
KNOWLEDGE_BASE_ROUTE_RULE | Bind knowledge base by research report type | Different types of thermal research reports correspond to exclusive knowledge bases, which can improve retrieval accuracy |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. Testing on independent samples is recommended before finalizing settings.
Three Common Misconfigurations
- A 400 error occurs when the workflow calls a custom HTTP interface. The interface cannot parse incoming research report parameters. The root cause is that
HTTP_CUSTOM_VAR_PARSE_MODEis not configured to parse by field name mapping, leading to variable transfer format not meeting interface requirements. - Workflow retrieval results are not displayed classified by business module. Content from different types of thermal research reports is mixed in output. The root cause is that
KNOWLEDGE_BASE_ROUTE_RULEis not configured to divide exclusive knowledge bases by research report type or business module, leading to unclassified retrieval result output. - Workflow execution times out and terminates. A timeout error prompt is displayed on the interface. The root cause is that
WORKFLOW_TIMEOUTis not adjusted according to the data volume of heating season research reports. The default duration cannot cover the surging document processing process.
How to Confirm Proper Configuration
- Trigger a workflow test. Check the request logs of the HTTP module to confirm that the incoming variable format matches the receiving requirements of the custom interface.
- Retrieve specified thermal industry keywords. Verify that the number and similarity of recall results match the preset configuration.
- View the knowledge base binding rules of the workflow. Confirm that different types of thermal research reports have been mapped to exclusive knowledge bases.
- Execute a batch research report synchronization task. Confirm that the workflow does not experience timeout termination.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.