This document is written for FastGPT v4.17.0.
What Data Looks Like for This Category
The data for this category mainly comes from environmental and power monitoring systems, access control systems, UPS monitoring equipment, and video inspection terminals. Daily produced documents include inspection reports, temperature and humidity records, alarm records, and duty logs. Common fields include device number, monitoring value, alarm level, trigger time, and inspection location. Units involve degrees Celsius, percentage, volts, and others. Data update frequencies are mostly daily or real-time. Some high-frequency monitoring items sync at the second level.
What Constraints These Characteristics Impose on Workflow Orchestration
Differences in format across data sources require workflows to support multi-type data access. Corresponding data parsing rules must be configured for different sources such as environmental and power monitoring and access control. Real-time monitoring data needs event-triggered or second-level scheduled nodes. Daily inspection data uses daily scheduled triggers to avoid resource waste. Multi-field document generation requires storing extracted content such as device numbers and temperature and humidity values in variables. Exception branches must be set up to handle timeouts or missing data during alarm confirmation steps, to prevent disruption to subsequent handover processes.
How to Configure Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Trigger Mode | Match the data source update rhythm: use event triggering for real-time monitoring items, use daily 2 AM scheduling for daily inspection items | Adapt to different update frequencies of environmental and power monitoring and daily inspection reports, reduce resource usage |
variables Configuration | Store device number, temperature and humidity value, alarm level, trigger time | Support automatic generation and field filling of inspection reports and alarm records |
| Data Parsing Nodes | Preset parsing templates for environmental and power monitoring and UPS monitoring | Comply with return formats of different data sources, reduce manual adjustments |
| Failure Handling Rules | Retry up to 3 times with 60-second intervals, trigger alarm push after failure | Cover scenarios such as missing data and interface timeouts, ensure process reliability |
nodeId Settings | Assign unique identifiers to each data source node | Facilitate quick location of abnormal nodes during workflow execution |
Three Common Mistakes
- Symptom: Database connection nodes cannot accept port number input, and the interface input box is disabled. Cause: The advanced configuration switch for the corresponding data source node is not enabled, so the port configuration item is not loaded in the interface.
- Symptom:
variablesvariables in the workflow do not show selectable values, and inspection data fields cannot be referenced. Cause: Data output is not configured in upstream workflow nodes, so the variable pool has no available content. - Symptom: External workflow calls fail due to excessive concurrency. Cause: Reasonable concurrency thresholds are not set based on actual monitoring data access volume, exceeding the system's carrying limit.
How to Confirm Correct Configuration
- Manually trigger the workflow, check if temperature and humidity, alarm level and other fields from the corresponding data source can be automatically extracted and filled into
variables. - Simulate missing or abnormal data scenarios, verify whether the failure handling node triggers alarm push.
- Test the trigger logic according to the actual update frequency of the data source, confirm whether the workflow executes at the preset rhythm.
- View workflow execution logs, confirm that each node corresponding to
nodeIdcompletes data parsing and storage normally.
The values provided here are common starting points, and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.