What This Type of Data Looks Like
Satellite communications investment research data primarily comes from real-time communication link data collected by ground stations, satellite orbit parameter databases, remote sensing image interpretation results, publicly available aerospace industry research reports and policy documents. Update rhythms vary significantly: communication link signal data is updated near-real-time, orbit parameters are synchronized daily, remote sensing images are updated per satellite transit cycles, and industry research reports are released irregularly. Each individual investment research data entry includes fields such as satellite unique identifier, collection timestamp, communication frequency band, signal strength, observation area and source type. Frequency units use GHz, signal strength units use dBm, and time follows UTC format.
Constraints on Conversation Logs and Auditing
The multi-source and varied update rhythm characteristics of satellite communications investment research data require conversation logs to associate call records from different data sources. This ensures that the original data source of each investment research conclusion can be traced during audits. Data sources with different update frequencies correspond to distinct log timestamp verification rules. This avoids mixing near-real-time link data logs with daily-updated orbit parameter logs. Structured data with multiple fields requires the auditing link to accurately filter core fields. This reduces storage and query overhead for invalid logs. Satellite communications data involves industry-sensitive information. Session isolation is required to ensure that investment research conversations and logs of different users are not exposed.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
USER_SESSION_SPLIT_BY | User ID + Satellite Project Identifier | In satellite investment research scenarios, the same user may connect to multiple satellite projects. Splitting sessions using this two-dimensional dimension avoids confusion of historical records |
LOG_RETENTION_DAYS | 180 days | Complies with audit compliance requirements in the financial investment research field, covering the review cycle of conventional investment research reports |
AUDIT_FIELD_FILTER | ["Satellite ID", "Communication Frequency Band GHz", "Signal Strength dBm", "Observation Time UTC"] | Only retains core audit fields for satellite investment research, reducing storage occupied by invalid logs |
SESSION_INACTIVITY_TIMEOUT | 30 minutes | Balances the usability of long-cycle investment research conversations and session security, avoiding exposure of idle sessions |
AUDIT_LOG_EXPORT_MAX_SIZE | 100 MB | Limits the size of a single log export, adapting to the conventional upper limit of internal enterprise file transfer and storage |
PG_VECTOR_MAX_CONNECTIONS | Calibrated via actual testing | Adapts to the load requirements of concurrent satellite data queries, avoiding database connection overflow |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: Multiple users log in and view satellite investment research conversation history that does not belong to them. The session list returned by the API does not isolate per user. Cause: The
USER_SESSION_SPLIT_BYparameter is not configured, or the split dimension only uses user ID without adding the satellite project identifier. - Phenomenon: The
aiproxy_pgservice fails to start normally after the container is launched. Logs show database connection timeout. Cause: ThePG_VECTOR_MAX_CONNECTIONSparameter is not adjusted to adapt to the concurrent query volume of satellite data, or the database storage path permission configuration is incorrect. - Phenomenon: The exported audit logs contain a large number of non-core fields. It is impossible to quickly locate abnormal records of satellite communication links. Cause: The
AUDIT_FIELD_FILTERparameter is not configured, and irrelevant system log fields are not filtered.
How to Confirm Configuration is Correct
- Log in with different test user accounts, initiate conversations for the same satellite project, and verify that the session list only displays records initiated by the current user.
- Call the audit log query API, pass in the specified user and satellite project identifier, and confirm that the returned logs only contain session records of the corresponding dimension.
- Execute the container service status check command, verify that the
aiproxy_pgservice is running normally, and there are no connection timeout error reports. - Trigger the audit log export operation, check the size and included fields of the exported file, and confirm that it meets the preset configuration requirements.
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.