What Data for This Category Looks Like
Data related to infrastructure engineering financial reports primarily comes from annual and semi-annual reports regularly disclosed by listed companies, project settlement ledgers filed with housing and urban-rural development authorities, and public bidding announcement documents. Data updates follow quarterly financial report cycles and annual final account cycles. Progress data for some ongoing projects is updated monthly. Document structures typically include fields such as project unique identifier, construction content details, completed construction volume, current period project cost, cumulative allocated funds, and compliance check records. Common units include ten thousand yuan, cubic meters, and labor hours.
Constraints Imposed by These Characteristics on the Citation and Traceability Process
The multi-source and decentralized nature of infrastructure engineering financial report data requires the traceability process to support associative matching across three source types: filed ledgers, financial report documents, and bidding announcements. Different update frequencies of data sources require configuring separate recall time thresholds for quarterly financial reports and monthly progress data, to avoid recalling expired ongoing project data. Differences between engineering-specific fields and general financial fields require strict matching of field identifiers during traceability. For example, linking "completed construction output value" to "current period operating revenue details" in financial reports prevents traceability failures caused by field mismatches.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 8 | The data sources linked to infrastructure engineering financial reports cover three categories: project filings, financial reports, and bidding announcements. This number is sufficient to recall all relevant associative matching items |
Similarity Threshold | 0.75–0.85 | Engineering fields have high professional complexity, requiring a high matching degree to avoid irrelevant data being included in traceability results |
Multi-Knowledge Base Association Switch | Enabled | Infrastructure engineering data is stored across multiple independent knowledge bases, requiring cross-source association to complete full traceability |
Field Matching Rule | Strictly match field name + unit | Engineering fields may have the same name but different units; dual verification can prevent mismatches |
Data Source Update Validity Period | Quarterly financial report data retained for 12 months, monthly progress data retained for 3 months | The two types of data have different update cycles, and expired data has no valid reference value |
Citation Content Template | Include data source type, project unique identifier, update date, field value | Infrastructure engineering traceability requires clear data sources and project identifiers to meet compliance check requirements |
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 individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- A
Cannot redefine property: toStringerror occurs during invocation. Incorrect configuration of variable mapping rules for multi-knowledge base association causes the system to attempt redefining prototype methods for generic fields. - No optional values appear when selecting variable references in the knowledge base search node. Failure to predefine associated variables such as project ID and financial report cycle in the global variable configuration prevents the node from reading the preset variable list.
- Traceability results include old project data that does not match the current financial report cycle. Failure to configure data source update validity period rules results in recall of historical progress data that exceeds the retention period.
How to Confirm Proper Configuration
- Navigate to the knowledge base management page and verify that linked data source types cover project filings, financial report documents, and bidding announcements.
- Open the citation template configuration interface and confirm the template includes four content types: data source type, project unique identifier, update date, and field value.
- Initiate a test invocation and check whether returned results include source identifiers and field matching information for each cited data entry.
- Adjust the similarity threshold and verify that the matching degree of recall results meets business check standards.
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.