HTTP Interfaces and External Systems for Thermal Intelligent

What Data for This Category Looks Like

Data for thermal intelligent due diligence reports comes primarily from real-time monitoring systems for public thermal pipe networks, heat exchange station collection terminals, and thermal billing systems. Data updates occur every 15 minutes to one hour. Some historical archived data updates daily. A single report’s document structure includes core fields: site identifier, collection timestamp, supply and return water temperature, pipe network pressure, instantaneous flow, cumulative heat supply, and additional related fields. Temperature is measured in degrees Celsius. Pressure uses megapascals. Flow uses cubic meters per hour. Cumulative heat supply uses gigajoules. Data fields differ slightly based on thermal site type, such as primary heat exchange stations or secondary heat exchange stations. Core fields must align with general thermal industry collection specifications.

Constraints for HTTP Interfaces and External Systems

Thermal data’s high-frequency update requirement means HTTP interfaces must support short-interval polling or Webhook push. This avoids due diligence report data lag caused by overly long polling cycles. Industry-specific fields and units require interface requests to carry field mapping configurations. These convert generic parameters into identifiers recognizable by thermal systems. Returned results must strictly follow the preset unit system. For multi-site batch pull scenarios, HTTP interfaces must support pagination parameters to control the volume of data returned per request. This prevents interface timeouts. Data sensitivity requires dedicated authentication keys for external system integrations. Interface calls must record complete logs for compliance audits. Differences in data collection logic between heating seasons and non-heating seasons require adapted request strategies in interface configurations.

How to Configure Settings

Configuration Item	Recommended Setting	Rationale
`external_api_poll_interval`	`300–900 seconds`	Matches the 15-minute to 1-hour update rhythm of thermal data, avoids excessive calls or data lag
`field_mapping_rule`	Map fields per thermal industry collection specifications	Thermal data has exclusive field names and units, requires conversion of generic parameters into identifiers recognizable by target systems
`batch_request_page_size`	`10–20 items per page`	Excessive per-page data volume triggers interface timeouts, and controls resource usage for single transmissions
`api_auth_type`	`API key authentication`	Thermal system data has industry-specific sensitivity, requires verification of caller identity
`request_timeout`	`600 seconds`	Reserves sufficient response time when pulling data from multiple sites in batches, prevents mid-process interruptions
`timezone_config`	Match the time zone of the thermal site location	Timestamps for thermal data must align with local heating season scheduling logic, avoids report errors caused by time offset

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to conduct tests on samples before finalizing settings.

Three Common Configuration Mistakes

Scenario: HTTP interface calls return a 400 Bad Request error, with a prompt about mismatched field formats. Cause: No field_mapping_rule configured. Generic field names are used directly to pass parameters exclusive to thermal systems, leading to unrecognizable interface requests.
Scenario: Published login-free links still display the http://localhost:3000 domain name, and cannot be accessed externally. Cause: The external_base_url parameter was not modified in system configurations. The default local deployment address is used.
Scenario: Frequent 504 Gateway Timeout errors occur when calling external thermal interfaces. Cause: The request_timeout configuration value is shorter than the actual interface response time, or the batch_request_page_size setting is too large, leading to excessive data volume in a single request.

How to Verify Proper Configuration

Call the test interface. Check if the returned fields and units match thermal industry collection specifications, confirming the field_mapping_rule configuration is active.
Review system logs. Confirm that interface call intervals align with the external_api_poll_interval setting, with no excessive calls or overly long intervals.
Submit a batch data pull request. Confirm that pagination parameters function correctly, and the volume of data returned per request matches expected levels.
Validate authentication configurations. Use an invalid key to call the interface. The corresponding error code is returned. Use a valid key to normally retrieve data.

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.