What this type of data looks like
Data for wind power intelligent due diligence reports comes primarily from wind turbine SCADA monitoring systems, tower vibration sensors, on-site weather stations, and operation and maintenance log databases.
Data update cadences include second-level real-time monitoring (such as power generation and wind speed), hourly aggregated statistics (such as average daily power generation), and daily operation and maintenance records.
A single due diligence report document includes core fields such as unique wind turbine identifier, timestamp sequence, power generation (kW), real-time wind speed (m/s), wind direction (°), vibration amplitude (mm/s), and gearbox oil temperature (℃). Some reports also include monthly power generation summaries and fault alarm records. Total document length ranges from hundreds to thousands of characters.
What constraints do these characteristics impose on HTTP interfaces and external systems
The high-frequency real-time nature of wind power due diligence data requires interfaces to support high-volume requests, to prevent loss of critical monitoring data due to rate limiting.
The multi-field structure with fixed units requires interface parameter validation to strictly match preset field names and unit rules, to avoid parsing mismatches.
The need for long documents and multi-source data aggregation means interfaces must support large file uploads and extended timeout periods. It also requires compatibility with cross-system authentication logic for weather APIs and operation and maintenance platforms, to prevent failures during multi-source data synchronization.
How to configure
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Wind power due diligence reports contain multi-period monitoring sequences, and parsing time is longer than that of general documents |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Full monthly monitoring data for a single wind turbine can reach this scale |
REQUEST_RATE_LIMIT | 60 requests per minute | Matches the high-frequency data reporting rhythm of SCADA systems |
REQUIRED_PARSE_FIELDS | ["风机ID","时间戳","发电功率","风速","振动幅值"] | Covers core statistical indicators required for wind power due diligence |
HTTP_CONTENT_TYPE | application/json | Adapts to standard JSON format request body transmission |
MULTIPART_UPLOAD_ENABLED | Enabled | Supports chunked uploads for large-scale monitoring data files |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Missing HTTP request response fields: Interfaces that do not configure the
REQUIRED_PARSE_FIELDSparameter only return default parsed fields, and do not include core indicators required for wind power due diligence such as vibration amplitude and oil temperature. - 504 Gateway Timeout errors are triggered: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration is not adjusted, and parsing time for large wind power monitoring data documents exceeds the default threshold. - CSV collection created by the interface does not match interface-generated data: When uploading a CSV file, the
csv_delimiterparameter is not specified, and the default delimiter does not match the original file, leading to field parsing mismatches.
How to Confirm Proper Configuration
- Send a test JSON request containing standard wind power monitoring fields, check if all configured required fields are included in the response results.
- Upload a single 1000 MB wind power monthly data file, confirm the interface does not trigger a 413 Payload Too Large error.
- Send test requests continuously at 65 requests per minute, check if a 429 Too Many Requests error is triggered, to verify that the rate limit configuration takes effect.
- Call the interface to upload a test CSV file, compare the collection fields generated in the interface, confirm that the parsing rules match the original file.
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.