What the data for this category looks like
Environmental monitoring category data comes from distributed IoT monitoring terminals, regional environmental monitoring gateways, and third-party environmental data service providers. Data update rhythms fall into two categories: real-time data per single point is pushed every 1-5 minutes, and regionally aggregated batch monitoring data updates daily. The data is in structured JSON format, including fields such as unique point identifier, monitoring timestamp, pollutant concentration values, and device online status. The units for PM2.5 and PM10 are μg/m³, noise monitoring values use dB(A), and device status is a boolean flag.
What constraints these characteristics impose on HTTP Interfaces and External Systems
High-frequency real-time data pushes require the interface to support high concurrent requests, and response latency must be controlled within the update interval. Otherwise, data backlog will occur. Multi-point batch data transmission requires the interface to support batch parameter parsing. The number of entries per request must be reasonably limited to avoid excessive interface load. Fixed field units and value ranges require the interface to include parameter verification logic. Otherwise, invalid data will flow into downstream marketing systems, leading to data deviations in generated marketing content. When connecting to external marketing systems, monitoring data must be mapped to user tags or touch trigger conditions. Therefore, the interface must support custom field mapping configurations to adapt to the needs of different marketing scenarios.
How to Set the Configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
BATCH_REQUEST_MAX_SIZE | 100 entries/request | A large number of environmental monitoring points exist; too many entries per request increases interface load. 100 entries balances transmission efficiency and stability |
REQUEST_TIMEOUT | 30 seconds | Real-time monitoring data update interval is 1-5 minutes; timeout setting must be shorter than the update interval to avoid data backlog |
FIELD_VALIDATION_STRICTNESS | Strict mode | Monitoring data has fixed units and value ranges; strict verification filters invalid data and ensures the accuracy of downstream marketing content |
WEBHOOK_AUTH_TOKEN | Randomly generated 32-character string | Requests from external monitoring devices require identity verification to prevent data contamination from unauthorized access |
RETRY_ON_FAILURE | Enabled, 2 retry attempts | High-frequency data transmission is prone to temporary network fluctuations; limited retries reduce data loss rates |
DATA_EXPIRY_TIME | 10 minutes | The valid window for real-time monitoring data is its update cycle; data older than this period is no longer used for marketing content generation |
The parameter values provided on this page are all common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- A call to the interface returns
404 Invalid URL (POST /api/chat/completions). The cause is that the configured HTTP interface address does not point to the correct environmental monitoring data receiving endpoint, or the path has a spelling error. - An error indicating incorrect password is prompted when logging into the external system using a preset account. The cause is that the initial password was not reset according to the deployment process, or the configured authentication key does not match the third-party monitoring platform.
- Environmental data fields are empty in generated marketing content. The cause is that field verification configuration was not enabled, causing non-compliant data to be filtered out and no valid content returned.
How to Confirm Configuration is Complete
- Use the curl tool to send a simulated environmental monitoring data request, check that the interface returns a
200 OKstatus code, confirming that the address and authentication configuration are effective. - Send test data with incorrect units to the interface, check whether a parameter verification failure prompt is returned, confirming that the field verification configuration is effective.
- Send test data for multiple monitoring points, check that the number of entries received by the interface matches the configured
BATCH_REQUEST_MAX_SIZE, confirming that the batch request configuration is effective. - Wait 10 minutes and query the historical data stored by the interface, confirm that only valid data from the last 10 minutes is retained, confirming that the data expiration configuration is effective.
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.