What This Type of Data Looks Like
Data for thermal utility intelligent due diligence reports comes from public utility regulatory platforms, thermal company operation systems, terminal energy consumption monitoring devices, and heating billing systems. Core operating parameters are updated monthly during heating seasons. Compliance inspection records are updated quarterly during non-heating seasons. Document structure includes four modules: device operation logs, supply and return water parameters, user energy consumption details, and compliance verification reports. Fields include supply and return water temperature (℃), water supply pressure (MPa), heating coverage area (㎡), billing cycle (month), total device operating duration (hours), and more. Some cross-data-source fields have format differences.
What Constraints Do These Characteristics Impose on Model Access and Configuration?
Multi-source heterogeneous thermal data requires models to support cross-system field alignment. Targeted model screening rules must be configured. Differences in data update cycles require model call intervals to match data update periods. This avoids invalid calls or delayed responses. Specific field units and value ranges require models to enable format verification. This prevents unit confusion or abnormal values after parsing. Long-sequence device log documents occupy more context space. Model context length adaptation parameters must be adjusted.
How to Set the Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
model_selection_filter | Filter by the Public Utilities - Thermal tag | Only display models adapted to thermal industry data formats, avoid calling general-purpose models that do not support structured energy consumption fields |
max_context_length | 8000–12000 characters | Adapt to the context requirements of long-sequence device logs and multi-dimensional parameters in thermal due diligence reports |
field_format_check | Enabled | Verify the units and value ranges of fields such as supply and return water temperature and pressure, in compliance with thermal industry data specifications |
call_interval | 300–600 seconds | Match the monthly/quarterly update rhythm of thermal data, balance call costs and real-time performance |
parse_timeout | 600 seconds | Adapt to the parsing and model inference time of long documents, prevent timeouts caused by overly long documents |
rerank_top_k | Top 6 entries | Address the sorting requirements of multi-dimensional thermal data parameters, balance recall accuracy and inference speed |
The parameter values provided on this page are common recommended starting points for determining configurations. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Only a small number of optional models are displayed in the interface, and all available models cannot be viewed. The cause is that the
Public Utilities - Thermaltag filter formodel_selection_filteris not enabled, and the system defaults to displaying only general-purpose models. - Abnormal field units or empty values appear in the results returned after model calls. The cause is that the
field_format_checkparameter is not enabled, and no unit verification is performed for fields such as temperature and pressure of thermal data. - Model calls fail due to timeout. The cause is that the set
parse_timeoutis less than the actual time required for long document parsing and inference, and the long text characteristics of thermal due diligence reports are not adapted.
How to Confirm the Configuration Is Correct
- Enter the model selection interface, confirm that only models labeled as adapted to the thermal industry are displayed.
- Upload a standard thermal due diligence report document, check whether the parsed fields include preset fields such as supply and return water temperature and heating area.
- Initiate a test call, check whether the field units of the returned results conform to thermal industry specifications.
- Observe the time taken for model calls, confirm that the time does not exceed the preset
call_intervalrange.
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.