Form and Interaction for Industrial Park Yield Rates

Data for this category comes primarily from industrial park operation management systems, third-party commercial real estate market platforms, and

What Data for This Category Looks Like

Data for this category comes primarily from industrial park operation management systems, third-party commercial real estate market platforms, and registered information from local real estate registration authorities. Market data is synchronized every 6 hours. Operational cost data is imported in bulk on the first day of each month. Daily report documents are generated daily. Documents use a structured table format. Each row corresponds to the daily data of a single industrial park. Fields include park code, affiliated region, leasable building area, actual daily occupancy rate, daily average unit rental price, cumulative monthly operating costs, daily estimated net profit, daily annualized yield value, and more. Daily average unit rental price uses yuan/square meter·day as its unit. Yield values use ‰ as their unit.

Constraints on Form and Interaction From These Data Characteristics

These data characteristics impose multiple constraints on the form and interaction link. The mixed update feature of multiple data sources requires the form to support dual configuration logic for real-time market data pulling and bulk operational data import. It must also distinguish update rules for dynamic and static fields. Fields have specific unit attributes. The form must preset input components with built-in units to avoid format errors from manual input. The structured daily report format requires configuring column name verification rules in the form. These rules match imported file fields to preset fields for consistency. Park data has a hierarchical attribute. The form must implement linked drop-down selection for regions and parks to reduce manual input errors. Real-time yield calculation is required. The form must embed linked calculation logic. This logic automatically generates estimated revenue data based on input fields such as occupancy rate and rental price.

Configuration Settings

Configuration ItemRecommended ValueRationale
UPLOAD_FILE_MAX_SIZE500 MBStructured import files for industrial park yield daily reports typically do not exceed this size, adapting to bulk import requirements
PARSE_FILE_TIMEOUT_SECONDS120 secondsStructured files require verification of multiple fields and unit matching. Extending the timeout avoids mid-parsing interruptions
maxContext800–1200 charactersThe field length of a single industrial park daily report entry is moderate. This range covers complete information and prevents context overflow
Recall countTop 3The number of competing industrial parks in the same region is limited. Too many recalls increase interaction burden. Focusing on top competing parks is sufficient
Similarity threshold0.75Precise matching of park region and type attributes is required. This avoids recalling market data from non-similar parks
formFieldLinkageEnabledIndustrial park data has a hierarchical relationship between regions and parks. Enabling linkage reduces manual input errors

The parameter values provided on this page are all conventional recommendations used as a starting point 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 Configuration Mistakes

  • Bulk import of park data results in some empty fields. This occurs because the column names of the import file do not match the preset fields of the form. Data is not loaded correctly due to lack of column name consistency verification.
  • Timeout errors occur during sequential workflow execution after configuring yield calculation logic. This is because the PARSE_FILE_TIMEOUT_SECONDS parameter is not adjusted. The default timeout duration is insufficient, causing interruptions during multi-field calculation steps.
  • The number of industrial park market data entries returned by knowledge base search exceeds expectations. This is because reasonable Recall count and Similarity threshold values are not set. A large number of irrelevant data from non-similar parks is recalled, exceeding token limits.

How to Confirm Configuration Is Complete

  • A test structured daily report file is uploaded. The form is checked for automatic identification of column names and correct loading of corresponding fields, and the import is confirmed to have no errors.
  • Fields such as occupancy rate and unit rental price are manually entered for a single park. The form is checked for automatic generation of corresponding estimated net profit and yield values, and linked calculation is confirmed to be active.
  • A region is selected, and the park list in the drop-down menu is checked. Only industrial parks within the selected region are confirmed to be displayed, and the field linkage logic is verified to work correctly.
  • The Recall count and Similarity threshold values are adjusted. A market search is initiated. The number and relevance of returned results are checked, and they are confirmed to meet expectations.

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.