What the Data for This Category Looks Like
Marketing content data for construction machinery is sourced primarily from customer acquisition activity records from financial institutions, manufacturer equipment management systems, operating data reported by IoT terminals, and sales lead management platforms. The update cadence for marketing materials such as equipment 3D models, construction case videos, and financial lease product manuals adjusts with new product launches and promotional activities, and can be flexibly modified based on business needs. Equipment operating data is reported on a per-minute basis, while sales leads are generated in real time when customers inquire about financial leases. Data documents include fields such as equipment model, unique identifier, runtime, fault code, material type, download count, lead source, with units including hours, units, times, MB, and more.
Constraints Imposed on HTTP Interfaces and External Systems
The multi-source data nature of construction machinery requires interface calls to adapt to different update frequencies: real-time operating data requires high-frequency short polling or long connections, while large-volume marketing materials need support for resumable uploads. The multi-field data structure leads to high interface transmission load, so returned fields must be filtered to reduce bandwidth consumption. Permission verification rules vary across different data sources: some IoT platform interfaces require a dedicated signature mechanism, while financial lease sales lead platforms rely on OAuth2 authorization. Additionally, the field types of equipment data such as floating-point runtime and enumerated fault codes must strictly match the storage structure of financial institutions to avoid data mapping errors that disrupt subsequent customer acquisition analysis.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
CERTIFICATE_VERIFICATION | false (used with the --insecure parameter) | The deployment environment cannot pass formal HTTPS certificate verification, so certificate verification must be skipped to complete interface calls |
HTTP_REQUEST_TIMEOUT | 600 seconds | Pulling bulk operating data for construction machinery and uploading large-volume materials takes a long time, so the timeout limit must be extended |
REQUEST_RATE_LIMIT | 10 requests per minute | IoT terminals have limited data reporting frequency; high-frequency calls will trigger external interface rate limiting |
RESPONSE_FIELD_FILTER | Only return device ID, runtime, material ID, lead source | Construction machinery data has many fields; filtering reduces interface transmission load and improves call efficiency |
UPLOAD_FILE_SIZE_LIMIT | 2000 MB | Materials such as construction machinery 3D models, construction case videos, and financial lease product manuals have large file sizes, so support for large file uploads is required |
ERROR_RETRY_TIMES | 3 times | External IoT platforms and sales lead platforms occasionally experience fluctuations; retries reduce the rate of interface call failures |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- An
SSL peer certificate or SSH remote key was not OKerror occurs when calling an interface. The cause is thatCERTIFICATE_VERIFICATIONis not set tofalse, and the HTTPS certificate of the deployment environment failed verification. - The database connection plugin verification fails. The cause is incorrect mapping of construction machinery-specific fields, such as incorrectly configuring floating-point runtime as an integer, or omitting the device unique identifier field.
- The number of results returned after calling a published API does not match expectations. The cause is that the
RESPONSE_FIELD_FILTERparameter is not configured, resulting in too many redundant fields being returned by the interface and automatic truncation, or thelimitvalue in the request parameters exceeds the range allowed by the external interface.
How to Confirm Proper Configuration
- Run the
curl -k -X POST [target interface address] -d '{"deviceId": "test123"}'command, check that the return status code is200 OK, and that the returned fields include the expected equipment or marketing material data. - Enter the workflow run log page, confirm that the database connection plugin verification prompt no longer appears, and that data has been successfully written to or pulled to the specified storage location.
- Call the published API five times consecutively, check that the returned fields and number of results match the configured filtering rules, with no abnormal truncation or missing data.
- View the interface call monitoring panel, confirm that the QPS does not exceed the configured
REQUEST_RATE_LIMITthreshold, and that there are no rate limiting error logs.
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.