Complete Vehicle Final Assembly Process Specifications and Technical Standards Q&A: Deployment and Upgrade

Data sources for complete vehicle final assembly process and standard data cover ERP/MES systems, VIN and configuration systems, tightening tools, EOL

What Data for This Category Looks Like

Data sources for complete vehicle final assembly process and standard data cover ERP/MES systems, VIN and configuration systems, tightening tools, EOL inspection lines, and quality traceability systems. Data update frequencies include per-vehicle (such as tightening data and VIN configuration for individual vehicles), real-time (such as station work instructions), and per-shift (such as batch production plans). Daily documents include production orders, VIN lists, assembly work instructions, tightening torque data, offline inspection reports, rework records, and compliance release documents. Core fields include VIN code, part number, torque value, inspection results, and batch number. Corresponding units include newton meters, batch numbers, station numbers, and similar units.

Constraints Imposed by These Characteristics on Deployment and Upgrade

This category’s multi-source scattered data and high-concurrency update requirements impose clear rules for deployment data integration. Deployments must connect both structured databases and unstructured document storage simultaneously. Mixed-line production has high configuration complexity. Upgrade phases must retain compatibility with multiple sets of process templates. Version updates must not damage existing VIN matching logic. Real-time updated tightening and inspection data require highly available storage connections during deployment. Data interruptions must not disrupt station Q&A services. Errors affect vehicle offline operations and safety compliance. Deployments must configure complete operation logs and permission isolation rules. Misoperations must not cause production risks.

How to Set Configurations

Config ItemRecommended SettingRationale
DB_MAX_LINK10–20 connectionsAdapt to concurrent process data retrieval requests from multiple stations in the final assembly workshop, and avoid database connection exhaustion
MONGODB_URIConfigure as an unstructured data connection string with a replica setSupport high-concurrency read and write operations for unstructured process documents such as tightening data and rework records
PG_URLPoint to the structured data primary database address synchronized from ERPEnsure the efficiency of structured queries for accurately matching assembly work instructions by VIN code
REDIS_URLConfigure as a local cache cluster, with the cache expiration time set to 300 secondsCache frequently accessed process templates and VIN configuration mappings, reducing database query pressure
STORAGE_S3_ENDPOINTBind to the enterprise's internal S3-compatible storage nodeStore batch-uploaded offline inspection reports and compliance release documents
FE_DOMAINFill in the enterprise's internal front-end access domain nameLimit the access scope of non-login links, meeting the security access requirements of the production environment

Three Common Errors

  • Phenomenon: The open-source version v4.8.22 only allows adjustment of basic AI parameters. It cannot customize prompt words and reference templates. Reason: This version does not offer the advanced configuration module for process Q&A. Upgrades to FastGPT v4.17.0 or later are required.
  • Phenomenon: After a user using a non-login link deletes a conversation, the background operation log is cleared synchronously. Reason: Permission rules linked to ROOT_KEY are not correctly configured during deployment. Isolation for log deletion permissions is not implemented.
  • Phenomenon: When adding new process knowledge base documents, a prompt indicates the quantity exceeds the upper limit. Further additions are not possible. Reason: The default knowledge base quota limit of the open-source version is not adjusted. Configuration expansion for document storage requirements in final assembly scenarios is not completed.

How to Confirm Configuration Is Complete

  • Log in to the FastGPT management backend, check that the configured value of DB_MAX_LINK matches the preset value, initiate 15 concurrent retrieval requests, and confirm no connection timeouts or error messages occur.
  • Upload a real VIN list and the corresponding station’s assembly work instructions, initiate process Q&A matching by VIN code, and confirm returned results include the station’s work requirements and torque parameters.
  • Generate a non-login link and initiate a conversation, delete the conversation, check the background log, and confirm the original conversation record is retained and not synchronously cleared.
  • Add more than 30 process knowledge base documents, confirm storage and retrieval functions operate normally, and no errors related to quota limits appear.

The values provided here are common starting points, and should be evaluated against relevant operational samples.