Tender Document and Quotation Preparation for Lithium-ion Cell Manufacturing: HTTP Interfaces and External Systems

What this category of data looks like

Data is sourced from raw material batch ledgers, production MES systems, slurry and coating testing equipment, workshop dew point monitoring devices, formation and grading cabinets, and laboratory testing equipment. Data is updated in real time per battery batch and individual cell. Daily documents include batching records, coating and rolling parameter logs, winding or lamination process records, liquid injection ledgers, full-process formation and grading data, open-circuit voltage (OCV) and safety test reports. Data fields cover production process parameters, test results, and batch traceability information, aligned with industry-standard measurement units corresponding to test items, with no unified fixed format.

What constraints do these characteristics impose on HTTP interfaces and external systems

The multi-source, high-frequency, structured data characteristics of lithium-ion cell manufacturing impose multiple constraints on HTTP interface and external system integration. Real-time updated individual cell and batch data requires interfaces to support high-frequency small-batch requests, avoiding pulling excessive old data in a single call that would occupy bandwidth. Multi-source heterogeneous data sources require interfaces to adapt to format specifications of different production systems, without forcing unified data structures. Tender document and quotation preparation requires accurate batch traceability data, requiring interfaces to perform field integrity checks on returned data to avoid missing critical parameters. Additionally, lithium-ion battery production has extremely high requirements for data accuracy, so interfaces must include authentication and retry mechanisms to prevent unauthorized access and data anomalies caused by transient network fluctuations.

How to configure settings

The following configurations apply to FastGPT v4.17.0.

Three common configuration errors

• The interface call returns a Failed to fetch error, caused by incorrect configuration of the Authorization parameter, leading the production system to reject the authentication request.
• The pulled responseData includes redundant fields, causing irrelevant production data to be mixed into tender documents, caused by not specifying the return field range in the configuration and pulling full production logs directly.
• Dynamic variables parameters are not bound to the correct tender batch number, leading to generated quotations that do not match the actual production data of the tender batch, caused by not verifying the validity and correspondence of parameters before calling the interface.

How to verify a correct configuration

• Call the test interface, check if the returned responseData fields include the production parameters required for tenders, with no redundant or missing items.
• Verify the authentication effect of the Authorization parameter, confirm that unauthorized requests cannot pull data normally.
• Pass different variables parameters, confirm that the interface can return production data corresponding to the batch.
• Simulate network fluctuations or equipment offline scenarios, confirm that the retry mechanism is triggered normally and the call is completed.

The values given are common starting points and should be measured against the reader's own samples.