What Data for This Category Looks Like
Data for this category is sourced from equipment manufacturer operation and maintenance systems, industrial internet of things collection platforms, and industry operation monitoring databases. Full data for the previous day is updated each early morning. Pulling data by device batch or precise query for a single device is supported. Data uses structured JSON format. Each record includes device unique identifier, device model, statistical cycle, operating duration, energy consumption cost, revenue amount, and revenue evaluation fields. The timestamp field is precise to the second. Amount fields use yuan as the unit. Revenue evaluation fields are dimensionless values, with no additional percentage-based statistical items.
Constraints Imposed by These Characteristics on HTTP Interfaces and External Systems
The data update rhythm for this category is daily T+1 full refresh. HTTP interfaces must support daily batch pulling and precise single-device query, while accommodating time zone differences across multiple data sources. Structured fields include amount and dimensionless evaluation items. Interfaces must retain original units and field definitions when returning data, with no arbitrary conversions. The uniqueness of device identifiers requires interfaces to support ID-based idempotency checks to avoid duplicate data imports. Additionally, single batch pull data volumes can be large. Pagination parameters must be configured to match the receiving limits of external systems. Time range filtering for incremental pulling must also be supported to reduce invalid data transmission.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
HTTP_REQUEST_TIMEOUT | 600 seconds | Accommodates large data volume transfer needs during full pulls, avoiding timeout interruptions caused by large data volumes |
PROXY_ENABLE | Enabled, configure https_proxy address | Meets external data source access requirements in enterprise intranet environments, resolving issues where public network data interfaces cannot be directly connected |
REQUEST_RETRY_TIMES | 3 times | Addresses occasional interface fluctuations in industrial data sources, reducing pull failures caused by temporary network jitter |
BATCH_PULL_SIZE | 500 records per request | Balances data transfer efficiency and external system memory usage, avoiding crashes caused by too much data pulled in a single request |
DATA_PARSE_SCHEMA | Map field types to numeric/string values | Retains original field units and definitions, ensuring accuracy of subsequent revenue calculations |
TIMEZONE_ADJUST_OFFSET | +8 hours | Aligns with the commonly used China Standard Time (UTC+8), avoiding statistical cycle errors caused by data source time zone differences |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Interface calls return
403 Forbiddenor connection timeout, and requests cannot be forwarded via proxy. The cause is incorrect enabling of the proxy configuration item, or the proxy address not being filled in according to standard format. - Pulled data field units do not match expectations, and some amount or evaluation fields show abnormal conversions. The cause is unauthorized modification of the
DATA_PARSE_SCHEMAmapping rules, damaging original field definitions. - Duplicate data is obtained after scheduled pulling, and multiple daily records with the same device ID appear in the external system. The cause is failure to configure idempotency check parameters, or failure to use device ID as the unique identifier for deduplication.
How to Confirm Configuration is Correct
- Call the configured HTTP interface, check if returned fields match the original field definitions of the data source, and confirm that units and type mappings are correct.
- Simulate a scheduled task to trigger a pull, check if the returned data update time matches the previous day's statistical cycle, and verify that the time zone configuration is effective.
- Call the interface again after configuring the proxy, confirm that external data sources can be accessed normally, with no connection timeout or permission errors.
- Pull a single batch of data, check if the data volume falls within the range configured by
BATCH_PULL_SIZE, and verify that pagination and batch configuration are working properly.
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.