What the Data for This Category Looks Like
Data for power industry intelligent due diligence reports primarily comes from real-time grid operation data, power equipment inventory records, power generation side operation logs, and electricity sales transaction settlement reports. Data update cycles cover multiple dimensions: real-time (grid load, equipment operating parameters), daily (transaction daily reports), and monthly (settlement monthly reports). Document formats include structured Excel spreadsheets (equipment parameters, transaction details), semi-structured operation and maintenance logs, and annual due diligence reports in PDF format. Core fields include active power, reactive power, on-grid electricity price, and equipment rated capacity, with corresponding units of kW, MWh, yuan per kilowatt-hour, and kVA.
Constraints on Multi-turn Dialogue and Prompt Engineering
Power industry data has a high proportion of structured content and strict unit requirements. Prompts for multi-turn dialogue must clearly specify field mapping and unit verification rules to avoid unit confusion in returned results. The high-frequency updates of real-time data require that the latest dataset is retrieved with each dialogue call, and fixed caching cannot be used, otherwise the analysis results of the due diligence report will lag behind the current grid operation status. The existence of long documents requires the dialogue system to support segmented recall and long context integration, to avoid truncation of core equipment operation and maintenance logs and transaction settlement details. Associated queries across multiple dimensions require prompts to clearly specify association logic, such as binding equipment rated capacity with actual on-grid power for analysis, to ensure rigorous analysis logic for due diligence reports.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapt to context recall for multi-segment long texts in power due diligence reports, avoid truncation of core equipment parameters and transaction details |
RECALL_TOP_K | Top 6 entries | Balance field density of power data and query response speed, cover major equipment and transaction dimensions |
PROMPT_LANGUAGE | Switch as needed, default to Chinese, set to en-US for English scenarios | Adapt to overseas electricity sales due diligence or cross-language collaboration scenarios, match the language of user questions |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapt to the file size of PDF and Excel files for annual power due diligence reports, avoid upload failures |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Reserve sufficient parsing time when processing large power equipment inventory Excel files |
ENABLE_IMAGE_OCR | Enabled | Support text recognition for power equipment nameplate images, supplement structured data sources |
SIMILARITY_THRESHOLD | 0.75–0.85 | Filter low-correlation non-core fields in power data, improve the accuracy of due diligence reports |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and testing against local samples is recommended before finalizing values.
Three Common Configuration Mistakes
- A 413 Request Entity Too Large status code may be returned after uploading a power due diligence report. The cause is that the uploaded file size exceeds the
UPLOAD_FILE_MAX_SIZEconfiguration value. - Multi-turn dialogue may fail to continue a query, with subsequent questions not associating with previous equipment parameter query results. The cause is that the
maxContextparameter is not configured, and historical dialogue context is not retained. - Chinese due diligence results may be returned after an English question is posed. The cause is that
PROMPT_LANGUAGEis not set toen-US, and the Chinese prompt rule is loaded by default.
How to Verify Successful Configuration
- A single power due diligence report file that does not exceed the configured limit may be uploaded. The parsing status code returned by the interface can be checked to confirm that the file upload configuration is effective.
- Consecutive multi-turn queries may be initiated, such as first querying the active power of a substation, then querying its daily load changes. The returned results can be checked for association with the device information from the previous query to confirm that the context configuration is effective.
- The query language may be switched to English. The returned due diligence report analysis content can be checked for use of English expressions to confirm that the prompt language configuration is effective.
- Power equipment nameplate images and Excel inventory files may be uploaded. The parsing results can be checked to confirm that they include both parameters extracted from images and table data, to verify that the multi-type file parsing configuration is effective.
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.