What the data for this category looks like
Data for the equipment inspection and preventive maintenance category comes from EAM/CMMS systems, equipment sensing terminals, operator inspection records, maintenance history archives, spare parts inventory ledgers, and statutory inspection documents. Daily documents include equipment ledgers, graded inspection checklists, shutdown maintenance plans, work orders, fault analysis reports, spare parts lists, and special equipment inspection records. Data updates follow cycles including shift-by-shift inspection submissions, daily/weekly/monthly maintenance plan distribution, and real-time entry when faults occur. Document fields include equipment number, inspection item, detection value, maintenance man-hours, spare parts model, inspection validity period, and some sensing data includes real-time working condition units.
Constraints imposed on HTTP interfaces and external systems by these characteristics
The multi-source heterogeneous data structure of equipment inspection and preventive maintenance requires HTTP interfaces to support pulling data in multiple formats: structured ledgers, semi-structured inspection checklists, and binary sensing files. Differences in data update real-time performance require interface configurations to differentiate rules for scheduled batch pulling and event-triggered pushing. Field variations across documents require interface request parameters to match required items for corresponding business documents. For example, special equipment inspection records must include the inspection validity period field. Linkage requirements between spare parts lists and inventory data require interfaces to support cross-system data verification, to prevent mismatches between spare parts models in bid quotations and actual inventory. Additionally, statutory inspection records have timeliness requirements, so interfaces must return the latest data update timestamp for verification.
How to set configurations
This configuration explanation is based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Interface authentication method | Use Bearer token format, set token validity period to 7200 seconds | Aligns with API security verification requirements of external EAM/CMMS systems |
| Request variable configuration | Bind three variable types: equipment number, inspection cycle, and spare parts inventory threshold | Matches device-specific parameters that require dynamic insertion into bid documents |
| Response data processing | Return only structured fields for equipment ledgers, inspection records, and spare parts lists | Filters redundant sensing data to meet field needs for quotation preparation |
| Request timeout setting | 30-60 seconds, calibrated via actual testing | Accommodates network latency during multi-source data pulling |
| Event trigger rules | Trigger on two node types: fault occurrence and inspection completion | Matches real-time data update rhythm requirements |
Three Common Errors
- A 404 status code is returned when calling an external interface. This occurs when the interface URL does not correctly match the device data query endpoint of the external EAM system, or request header parameter configuration is incorrect.
- The
responseDatafield returned by the interface is empty. This occurs when theAuthorizationparameter is not included in the request, or the parameter format does not meet the external system’s verification rules. - The spare parts model in the generated bid document does not match actual inventory. This occurs when real-time inventory data is not bound via
variables, and only static spare parts list data is used.
How to Verify Successful Configuration
- Call the configured HTTP interface, and confirm the returned
responseDataincludes required fields for equipment ledgers, inspection records, and spare parts lists. - Trigger preset event nodes, confirm the interface pushes data per the configured rules, and check that request parameters in logs use the correct
Authorizationformat. - Generate a test bid document, and confirm dynamic insertion of device-specific parameters corresponding to bound
variables. - Simulate a fault occurrence scenario, confirm the interface triggers data pulling, and verify that the returned data update timestamp matches actual operation time.
The values provided are common starting points and should be evaluated against the reader’s own samples.