Form and Interaction for Solid Waste Treatment Yield Rates

Yield rate and market data for solid waste treatment projects hosted by financial institutions mainly comes from internal project operation ledgers

What the data for this category looks like

Yield rate and market data for solid waste treatment projects hosted by financial institutions mainly comes from internal project operation ledgers, local ecological environment department released disposal guidance prices, and third-party clearance settlement documents. The core data update cycle is daily. Guidance price data for some regions is updated weekly.

Most documents are structured tables, with each row corresponding to single-category single-day disposal data. Fields include solid waste category identifier, daily total disposal volume, unit total disposal cost, unit disposal operating revenue, daily net profit amount, month-on-month change amount, and others.

The unit of total disposal volume is tons. The units of cost and operating revenue are yuan per ton. The unit of net profit amount is yuan per ton.

What constraints do these characteristics impose on form and interaction

Data sources include internal project operation data and external public industry guidance prices. This requires the form to support multi-source data import and field verification, and meet the data compliance requirements of financial institutions.

The single-day data update cycle requires the form to limit single-batch processing to single-day data. Batch import across multiple days is not supported, to prevent confusion in data dimensions.

Fields include category identifiers and multiple numeric contents. This requires the form to bind fields to corresponding units, to avoid unit confusion during input.

The structured requirement for multiple fields requires the form to provide field mapping configuration, to adapt to differences in field names from different source documents.

How to set the configurations

Configuration ItemRecommended SettingRationale
DATA_IMPORT_BATCH_SIZE200 records/batchThe category coverage and detailed entry volume of single-day solid waste treatment data fit this batch limit, avoiding system overload
FIELD_MAPPING_MODECustom matchingField names of documents from different sources vary, requiring manual binding of core fields such as solid waste category identifier and total disposal volume
DATA_UPDATE_CRON0 6 * * *Matches the pre-update requirement for daily report broadcasting, ensuring that data from the previous day is finalized before 6:00 daily
VALIDATE_FIELD_UNITEnabledThe units of solid waste data are tons and yuan per ton; verification can avoid unit confusion during input
MAX_IMPORT_FILE_SIZE50 MBFalls within the conventional size range of single-day solid waste treatment detail files, preventing parsing failures caused by oversized files
PARSE_TIMEOUT_SECONDS300 secondsCovers parsing time for large detail files, avoiding timeout errors mid-process

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

Three common mistakes

  • Symptom: A 413 Request Entity Too Large error is returned when importing data. Cause: The imported file size exceeds the configuration limit of MAX_IMPORT_FILE_SIZE.
  • Symptom: The solid waste category field does not load corresponding content when referencing knowledge base variables in the form. Cause: No field mapping rules are configured, and the solid waste category identifier field in the knowledge base is not bound to the form field.
  • Symptom: The daily report data generated after form submission has inconsistent units. Cause: The VALIDATE_FIELD_UNIT configuration is not enabled, and the legality of units such as tons and yuan per ton is not verified.

How to confirm the configuration is complete

  • Upload a single-day solid waste treatment data file, and check whether the automatically matched fields by the system are consistent with the actual data fields. Adjust the mapping rules manually if there are inconsistencies.
  • View the scheduled task execution log to confirm that the task triggers and completes data updates at the preset time.
  • Input test data containing non-compliant units, and check whether the system triggers verification interception.
  • Import a small volume of test data, and check whether the number of imported batches meets the configured batch limit 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.