What data for this category looks like
Satellite communications intelligent due diligence report data mainly comes from link operation logs collected by ground measurement and control stations, remote sensing communication data of low Earth orbit (LEO) and geostationary Earth orbit (GEO) satellites, and real-time sampling data from spectrum monitoring terminals. The data update rhythm depends on the satellite orbit type: LEO constellation data refreshes every 15 to 30 minutes, and GEO synchronous satellite data updates every 2 to 4 hours. Each single report document includes three types of structures: link parameter table, coverage range GeoJSON file, and health status time-series log. Fields include carrier frequency (unit MHz), signal-to-noise ratio (unit dB), signal strength (unit dBm), beam pointing angle (unit °), as well as basic information such as satellite unique identifier and collection timestamp.
What constraints do these characteristics impose on workflow orchestration
The differences in multi-orbit data update rhythms for satellite communications require workflow trigger rules to match the collection cycle of the corresponding satellite, to avoid resource waste or repeated data pulling caused by high-frequency triggers. The mixed multi-format data structure requires workflows to configure differentiated parsing nodes to handle structured link parameter tables, vector-format coverage range data, and time-series logs respectively. A single general parsing node cannot complete full data processing. The diversity of field units requires the parameter verification link of the workflow to configure independent unit conversion and validity check logic for each field, to avoid calculation errors caused by direct concatenation of values with different units. The large log data volume of a single report requires the workflow's batch processing node to set pagination pulling rules, to prevent exceeding memory limits during a single processing.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
trigger_cron | Use */20 * * * * for LEO satellite scenarios, use 0 */3 * * * for GEO satellite scenarios | Matches the data update rhythm of corresponding orbit satellites, avoids pulling unchanged data repeatedly |
parse_file_max_size | 200 MB | Adapts to the maximum file size of a single satellite communications report, prevents parsing node timeouts |
workflow_batch_size | 50 items/time | Controls the number of link logs processed per batch, avoids exceeding node memory limits |
ai_node_context_window | 8000–12000 characters | Accommodates long text parsing results of satellite communications parameters, meets the multi-field integration requirements of due diligence reports |
code_node_timeout | 600 seconds | Adapts to the calculation time of batch processing large volumes of spectrum monitoring data, prevents node interruptions |
text_splitter_chunk_size | 1000 characters | Adapts to the average description length of satellite communications fields, ensures complete semantics of split text blocks |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: The AI question answering node cannot receive the complete content passed by the text splicing node, and the output field is empty on the interface. Cause: The text splicing node does not enable the "force output as string" configuration, causing the multi-format data passed to be unrecognizable by the AI node.
- Phenomenon: The workflow returns the
413 Request Entity Too Largeerror code during execution. Cause: Theparse_file_max_sizeparameter is not configured, or its value is smaller than the file size of a single satellite communications report, causing file upload to be blocked. - Phenomenon: The code running node has no streaming output result after execution. Cause: The streaming output response header and chunked transfer logic are not configured in the code, only the complete synchronous result is returned.
How to confirm proper configuration
- Manually trigger the workflow once, check whether the trigger time in the log matches the latest collection time of satellite data.
- Upload a standard-volume satellite communications report file, check whether the parsing node successfully outputs structured fields.
- Configure the text splicing node and pass multiple segments of parameters, verify whether the AI question answering node can correctly receive the complete spliced content.
- Run the code running node, check whether the output stream returns results in expected chunks.
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.