What the data for this category looks like
Data for environmental monitoring intelligent due diligence reports comes primarily from four sources: national-level environmental monitoring stations, regional IoT monitoring sensor arrays, satellite remote sensing image analysis results, and exported files from portable on-site detectors. Data update cycles cover three categories: real-time (for point sensors), hourly (for batch station reports), and daily (for regional remote sensing summaries). Every report follows a fixed document structure, including monitoring point codes, monitoring timestamps, pollutant concentration values, supporting meteorological parameters, and anomaly alert marker fields. Pollutant concentration units are μg/m³, meteorological parameter units are ℃ or m/s. Some reports also include point latitude and longitude coordinate fields.
What constraints do these characteristics impose on deployment and upgrade?
Environmental monitoring data is multi-source heterogeneous and has non-uniform update cycles. Configure multi-source data adaptation modules in advance during deployment. These modules support structured sensor reports, remote sensing analysis text, and on-site detection table inputs. Data fields include fixed pollutant concentrations, meteorological parameters, and point codes. Maintain downward compatibility of field mapping rules during upgrades to prevent parsing failures for old reports. Real-time data requires low-latency processing. Adjust concurrent thread counts and message queue buffer sizes during deployment. Use rolling update strategies during upgrades to prevent service interruptions that cause real-time data loss. Some reports include latitude and longitude coordinates. Configure an additional spatial index module during deployment to support geolocation-based due diligence retrieval.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600-900 seconds | Environmental monitoring reports may include multi-page remote sensing analysis text and batch sensor data, leading to long parsing times |
UPLOAD_FILE_MAX_SIZE | 2000-5000 MB | A single regional-level environmental monitoring due diligence report may include multiple phases of remote sensing images and point data, resulting in large file sizes |
maxContext | 8000-12000 characters | Pollutant concentration sequences and meteorological parameter paragraphs in reports are lengthy, requiring sufficient context to generate due diligence conclusions |
VECTOR_DB_REPLICA_COUNT | 2-3 replicas | Real-time data updates occur frequently, requiring multiple replicas to ensure retrieval concurrency and service availability |
RECALL_TOP_K | Top 10-15 entries | Due diligence reports need to cover monitoring data from multiple points. Too many recalled entries increase inference latency, while too few omit critical point information |
DB_BACKUP_INCREMENTAL_INTERVAL | 3600 seconds | Hourly updated monitoring data requires hourly incremental backups to avoid excessive storage and computing resource usage from full backups |
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 targeted analysis. It is recommended to perform testing on samples specific to the deployment before finalizing settings.
Three common mistakes
- Symptom: A
504 Gateway Timeouterror occurs when running the data synchronization script after an upgrade, and the interface displays due diligence report parsing failure. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. Parsing time for environmental monitoring reports exceeds the default threshold, causing a timeout. - Symptom: Service lag occurs after local deployment, with 64GB memory usage consistently exceeding 90%. Cause:
UPLOAD_FILE_MAX_SIZEwas not restricted, and a reasonableVECTOR_DB_REPLICA_COUNTwas not configured. Excessively large files and vector database replicas occupy excessive memory resources. - Symptom: After migrating from an existing deployment environment, latitude and longitude fields from some historical monitoring reports cannot be used for geolocation retrieval. Cause: The spatial index configuration was not synchronized during migration, causing the geolocation retrieval module to fail to load properly.
How to confirm proper configuration
- Upload a typical regional-level environmental monitoring report, check if the parsing completion time meets business expectations, and adjust
PARSE_FILE_TIMEOUT_SECONDSto a matching threshold. - Run the incremental backup script, verify that the generation frequency and size of database backup files meet configuration requirements, and confirm that
DB_BACKUP_INCREMENTAL_INTERVALis set correctly. - Initiate a rolling upgrade test, observe whether service interruptions occur, and confirm that
VECTOR_DB_REPLICA_COUNTconfiguration meets concurrent switching requirements. - Initiate a retrieval for monitoring data that includes specific latitude and longitude coordinates, verify that the spatial index module loads normally, and confirm that the geolocation retrieval function is available.
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.