What Data Looks Like for This Category
Data for this category mainly comes from environmental monitoring systems, access control systems, UPS monitoring systems, and video inspection equipment. Update frequency is real-time or daily. Daily generated documents include inspection sheets, temperature and humidity records, alarm records, and duty logs. Core fields include device number, temperature and humidity values (units: ℃ and %RH), alarm level, inspection time, and on-site status description. Some documents require association with the current day’s on-duty personnel information. The character length of single records varies widely, ranging from short status identifiers to complete inspection descriptions.
Constraints for Forms and Interactions Derived from These Characteristics
Real-time or high-frequency updated data requires real-time synchronized entry and automatic completion via external business systems or subsequent workflow nodes, to eliminate lag errors from manual input. Differences in field types across multiple data sources need to be addressed using node types such as formInput and userSelect, combined with external attachment upload functions. High-frequency reuse scenarios for inspection and alarm documents need template calling and quick filling implemented by external business systems. Cross-person handover requirements for on-site inspections require hierarchical permission-based filling and status transfer records, implemented via external business systems or subsequent workflow branches. Additionally, the strict data integrity requirements for computer room environments need field verification rules configured via external business systems or subsequent workflow nodes to filter abnormal data outside normal operating ranges, preventing impacts on subsequent operation and maintenance decisions.
Configuration Settings
The following configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form input node formInput | Test example: Select 3 fields from computer room inspection and environmental monitoring as required inputs; actual fields are determined based on the task | This node collects user input; when required fields are missing, check the interaction status to avoid subsequent nodes failing to obtain complete input |
User selection node userSelect | Test example: Set 2 business options, check the corresponding branches one by one | This node handles user selection; querying and filtering records related to computer room inspection and environmental monitoring must be implemented via subsequent interfaces or external systems |
| Field passing after submission | Test example: Prepare 10 input samples for computer room inspection and environmental monitoring, covering complete filling, missing required fields, and cancel operations | Compare input and node output to verify whether subsequent nodes receive corresponding fields; result thresholds are determined based on actual tasks |
| External implementation item: Attachment upload function configuration | Must be implemented separately by external systems; test example value: single file no larger than 500 MB, maximum 10 files per upload | Adapt to upload requirements for video inspection clips and historical temperature and humidity data files, implemented via external business systems or subsequent workflow nodes |
| External implementation item: Workflow timeout control | Must be implemented separately by external systems; test example value: 60 seconds | Match the real-time reporting interval of computer room monitoring data, implemented via external business systems or subsequent workflow nodes |
| External implementation item: Field verification logic | Must be implemented separately by external systems; test example setting: temperature and humidity value range (0–40℃, 30%–90% RH) | Aligns with normal operating parameter ranges for computer room environments, implemented via external business systems or subsequent workflow nodes |
Three Common Mistakes
- After submitting forms related to computer room inspection and environmental monitoring, subsequent nodes do not receive complete fields. Check required fields, actual submitted content, and node output mapping item by item, then review subsequent interface returns. Existing symptoms alone cannot determine the root cause.
- Symptom: After the workflow calls the
userSelectnode, subsequent nodes fail to execute. Verify the workflow context link configuration, and confirm whether the parameter transfer logic is correctly set. - Symptom: Parsing errors occur after uploading inspection videos or historical data files. Verify the file type verification rule configuration of the external business system or subsequent nodes, and confirm whether non-specified format attachments are blocked.
How to Confirm Successful Configuration
- Enter a simulated temperature and humidity inspection record, verify whether the externally configured field verification rule triggers, and confirm that the verification logic takes effect.
- Call the preset inspection template of the external business system, verify whether the interaction options of the
userSelectnode load normally, and confirm that the template calling logic takes effect. - Upload a qualified inspection photo, verify the upload process and external storage logic, and confirm that the attachment configuration takes effect.
- Test long text input, confirm that the externally configured character length verification rule does not trigger abnormal errors, and confirm that the verification logic meets requirements.
The values provided are common starting points and should be evaluated 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.