Database and Operations for Solid Waste Treatment Investment Research Knowledge Base Construction

Solid waste treatment investment research data is used for industry analysis, project evaluation and compliance verification. It comes from three

What the data for this category looks like

Solid waste treatment investment research data is used for industry analysis, project evaluation and compliance verification. It comes from three categories:

  1. Full lifecycle EIA reports, completion reports and operation logs for projects
  2. Real-time or scheduled pollutant emission monitoring data and equipment operating parameters
  3. Industry control policies and local environmental protection standard documents

Update rhythms vary significantly: monitoring data is updated hourly or daily, operation logs are updated monthly or quarterly, and policy documents have no fixed update cycle. Single document volume spans widely: small operation logs are only tens of KB, while large project reports can reach several GB. Data fields include fixed units, such as tons per day for processing volume and mg/L for pollutant concentration. Business identifiers like project numbers and point codes must be associated with the data.

Multi-source heterogeneous data structures require the database to support structured monitoring parameter storage, unstructured document storage and relational business association queries. High-frequency write demands for real-time monitoring data require database connection pool configurations adapted to high-concurrency scenarios. Parsing and storage of large-volume documents require adjusting timeout and capacity limits for file upload and parsing. Fixed fields and units require type and format validation at the database layer to prevent invalid data writes. Data with different update frequencies require database sharding or scheduled synchronization tasks to ensure query efficiency. Investment research demands for full historical data require retaining audit logs of data changes, without overwriting original records.

How to set the configurations

Configuration ItemRecommended ValueRationale
DB_CONNECTION_POOL_SIZE8-16Adapt to the concurrent write and query demands of multi-source solid waste treatment data, avoid connection exhaustion
PARSE_FILE_TIMEOUT_SECONDS600 secondsMatch the parsing time of large solid waste project reports, prevent timeout during long document parsing
UPLOAD_FILE_MAX_SIZE2000 MBSupport storage of large solid waste project completion reports and complete monitoring data sets
Number of recalled entriesTop 8-12 entriesCover multi-dimensional monitoring, operation and policy data required for solid waste investment research, avoid missing key information due to too few recalled entries
Similarity threshold0.75-0.85Distinguish semantic similarity of solid waste-related professional terms, prevent irrelevant data from being recalled
BACKUP_GRANULARITYBy data type + business categoryAdapt to the demand for solid waste data management by business category, meet requirements for flexible export and backup

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 case-by-case analysis, and it is recommended to test on your own samples before finalizing.

Three common errors

  • Phenomenon: Concurrent API calls frequently return 429 Too Many Requests status codes. Cause: The DB_CONNECTION_POOL_SIZE parameter is not adjusted, and the number of database connections is insufficient to support concurrent requests for multi-source data.
  • Phenomenon: SQL database queries for solid waste monitoring data return empty results. Cause: No type mapping is configured for corresponding pollutant fields, and no association table is linked between point codes and business categories.
  • Phenomenon: Exported backups only support knowledge base dimensions and cannot be split by solid waste business categories. Cause: The BACKUP_GRANULARITY configuration is not modified, and the default knowledge base dimension backup policy is used.

How to confirm the configuration is complete

  • Initiate more than 10 concurrent API calls, observe that all return status codes are 200 OK to confirm the connection pool configuration takes effect.
  • Execute an SQL query statement to verify that monitoring data with the COD_concentration field and mg/L unit is returned correctly.
  • Trigger a backup task to confirm that generated backup files are stored split by business category.
  • Upload a 500 MB solid waste project report, verify that the parsing task completes within 600 seconds without errors.

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.