Citation Source and Traceability for Water Industry

What data in this category looks like

Water industry investment research data comes from four main channels:

Water quality monitoring monthly reports from local water utility operator websites
Public utility statistical yearbooks issued by the Ministry of Housing and Urban-Rural Development
Real-time reported data from watershed water quality monitoring stations
Engineering archives of water facility operation and maintenance

Real-time water quality monitoring data is updated minute by minute. Industry policy documents are released quarterly or for specific projects. Operation logs are archived daily.

Data documents have three structural forms:

Structured monitoring tables, with fields including point number, timestamp, pollutant concentration (unit: mg/L), and others
Long policy documents, with release document numbers and effective dates attached
Operation log entries, bound to device IDs and operating parameters

What constraints do these characteristics impose on citation traceability?

The multi-type and varied update rhythm of water industry data imposes three core constraints on citation traceability. First, the minute-level timestamps of real-time monitoring data require traceability information to be precise to specific collection points and times. Relying solely on full-text traceability cannot meet this requirement. Second, structured monitoring tables account for a large share of total data. Traceability must support field-level extraction; relying solely on full-document traceability cannot fulfill the need for precise data positioning. Third, compliance traceability requirements differ across document types. Policy documents need to be linked to release document numbers and effective dates. Operation logs need to be bound to device IDs and operation subjects. Traceability configuration must adapt to multiple sets of identification rules. Additionally, industry compliance mandates retaining complete link information of original data collection channels to avoid compliance risks caused by missing traceability details.

How to configure the settings

Configuration Item	Recommended Value Range	Rationale
`Recall TopK`	Top 8-12 entries	Water industry data mostly consists of structured tables, with concentrated information per entry. Too many recall results will cause redundancy, while too few will fail to cover all relevant point data
`Similarity threshold`	0.75-0.85	Water monitoring data has clear numerical characteristics. A threshold that is too low will introduce irrelevant water quality data from other industries, while a threshold that is too high may miss data from the same point at different times
`Chunk size`	600-1000 characters	Water facility operation logs are mostly short entries, while policy documents have longer paragraphs. This range balances traceability completeness for both structured and unstructured documents
`Traceability Mode`	Field-level traceability	Water industry data contains a large number of structured fields. Field-level traceability can accurately locate specific monitoring points, device IDs, or policy document numbers, which is more precise than full-document traceability
`PARSE_FILE_TIMEOUT_SECONDS`	120 seconds	Parsing large water engineering archives takes a long time. The default timeout period is insufficient, so extending it avoids parsing failures
`Citation Display Format`	[Source File Name + Field Name/Point Number + Timestamp]	Traceability of water industry data needs to be specific to a point and time. This format quickly meets compliance verification requirements

The parameter values provided on this page are common recommended starting points for configuration. Actual values vary based on material form, data volume and business rules. Specific scenarios require targeted analysis, and testing on relevant samples is recommended before finalizing.

Three Common Configuration Errors

Symptom: Knowledge base-generated answers include citation identifiers at the end, but attempts to view the associated citation trigger an error message "No permission to operate this conversation record". Cause: The 引用溯源权限 configuration is not enabled, or access permissions for traceability data are not synchronized when importing a cross-environment workflow.
Symptom: After exporting a configured traceability workflow as a JSON file, importing it to a new environment causes the associated file parsing plugin to fail to load properly. Cause: The environment binding configuration of the plugin was not included during export, or plugin permissions in the new environment do not match those of the original environment.
Symptom: A citation upper limit is set during knowledge base search, but the number of returned traceability data entries exceeds expectations. Cause: The Recall TopK parameter was incorrectly set to a value unrelated to the citation upper limit, and the Citation Count Limit configuration parameter was not linked, resulting in traceability data not being truncated as required.

How to Confirm Successful Configuration

Upload a structured table document of water quality monitoring data, trigger knowledge base parsing, and check the parsed field list to confirm that core fields such as point number and timestamp have been extracted.
Initiate a query related to water industry investment research, check the citation identifier format of the generated answer to confirm it matches the Citation Display Format configuration rules.
Export the JSON configuration file of the current workflow, import it to a test environment, and verify that the associated parsing plugin and traceability rules load normally.
Adjust the Similarity threshold to the boundary value of the preset range, initiate a query, and compare changes in the number of returned traceability data entries to confirm that the configuration has taken effect.

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.