What the Data for This Category Looks Like
Data sources for energy storage intelligent due diligence reports targeting the financial sector include grid connection test reports, battery cell manufacturer factory quality inspection sheets, energy storage power station SCADA system data, grid dispatch operation logs, and local energy regulatory filing documents. Update rhythms vary across sources: filing documents are updated on a fixed project acceptance cycle, SCADA system data is synced in real time at minute-level intervals, and operation and maintenance logs are archived and updated daily. Document structures include project filing forms, battery cell parameter detail sheets, system integration plans, operation and maintenance logs, grid connection acceptance reports, and other types. Fields include rated capacity, cycle life, grid connection voltage, remaining capacity, and health status, with units of kWh, charge-discharge cycles, kV, dimensionless, and dimensionless respectively.
What Constraints These Characteristics Impose on Workflow Orchestration
Multi-source heterogeneous data sources require the workflow to be configured with multiple parallel nodes to pull data sources in different formats, including structured CSV logs, filing documents in PDF format, and real-time SCADA data in JSON format. Data sources with different update rhythms require the workflow to support mixed trigger modes, combining scheduled pulls for fixed-update filing documents and event-triggered syncing for real-time operation data. Fields have specific unit requirements. A parameter verification node must be embedded in the workflow to ensure unified units for extracted parameters such as capacity and voltage, preventing due diligence conclusions from being affected by unit deviations. Diversified document structures require the workflow to support multi-template parsing rules, as a single parsing logic cannot cover all document types.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
workflow_trigger_mode | Scheduled Trigger + Event Trigger | Energy storage due diligence data includes scheduled-updated filing documents and real-time synced SCADA data. Dual trigger mode covers all data sources |
multi_source_parse_template | Custom Multi-Template Parsing | Energy storage due diligence documents have multiple formats including filing forms, operation logs, and quality inspection sheets. Multi-templates adapt to different document structures |
global_variable_persistence_timeout | 3600 seconds | The data pulling and processing cycle for energy storage due diligence is long. Global variables such as project ID and call token must be retained for at least 1 hour |
tool_call_auto_trigger | Triggered by context similarity threshold | Due diligence reports require on-demand calls to MCP tools such as grid data query and battery cell parameter verification, to avoid invalid tool calls |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Documents such as energy storage grid connection acceptance reports have long lengths. The default timeout cannot cover the complete parsing process |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Issue: The global variable token configured in the workflow is read as empty in downstream MCP tool nodes, with the interface prompt
variable_not_found. Cause: Theglobal_variable_persistence_enabledparameter is not enabled, or the persistence timeout setting is too short, causing variables to be cleared prematurely. - Issue: The number of results returned after the workflow calls a tool does not match expectations, for example, only 1 battery cell parameter is returned. Cause: The multi-template matching rules for
multi_source_parse_templateare not configured, and only a single format of document is parsed. - Issue: The workflow does not respond for a long time after being triggered, and the backend returns a
504 Gateway Timeoutstatus code. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not set. Energy storage documents have long lengths, and the default timeout is insufficient.
How to Confirm Proper Configuration
- View the workflow's trigger configuration panel, confirm that both scheduled trigger and event trigger options are enabled, and verify that the data source coverage matches the energy storage due diligence data sources.
- Upload an energy storage filing document to the test environment, check whether the parsed fields include required items such as rated capacity and cycle life, and whether the units meet preset standards.
- Configure a test MCP tool node, pass a preset global variable token, and check whether the tool call can correctly read the variable value.
- Simulate a workflow trigger, check whether the tool call trigger logic matches the preset rules, and only call the tool when the corresponding context is matched.
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.