Production line self-adjustment control system

Abstract

This invention, as a production line self-adjusting control system and method, involves a natural language interface receiving at least one instruction, a programming engine translating the instruction into hardware description language code based on a fine-tuned large language model, a synthesis module converting the hardware description language code into an executable hardware accelerator, a dynamic firmware encapsulation module encapsulating the executable hardware accelerator and scheduling logic into a signed firmware container, and an edge execution device dynamically deploying the signed firmware container on the production line equipment and executing it through partial reconfiguration of a programmable array. This invention can shorten production line changeover time, reduce scheduling response latency, and ensure the security and traceability of hardware design.

Claims

1. A production line self-adjustment control system, comprising: a natural language interaction interface; a programming engine, signal-connected to the natural language interaction interface; a synthesis module, signal-connected to the programming engine; a dynamic firmware packaging module, signal-connected to the synthesis module; and an edge execution device, signal-connected to the dynamic firmware packaging module; wherein, The natural language interaction interface receives at least one instruction. The programming engine translates the instruction into hardware description language code based on a fine-tuned large language model. The synthesis module translates the hardware description language code into an executable hardware accelerator. The dynamic firmware encapsulation module encapsulates the executable hardware accelerator and scheduling logic into a signed firmware container. The edge execution device dynamically deploys the signed firmware container on the production line equipment and executes it through partial reconfiguration of the programmable array.

2. The production line self-adjustment control system as described in claim 1, wherein, The training data for this fine-tuned large language model includes a production line equipment application interface library, timing constraints, and power consumption models.

3. The production line self-adjusting control system as described in claim 1, wherein, The signature firmware container contains a blockchain digital signature and an entity's non-replicable function device identifier. During deployment, it is necessary to verify that the signature matches the entity's non-replicable function device identifier.

4. The production line self-adjustment control system as described in claim 1 further includes a blockchain audit layer that is signal-connected to the edge execution device and records firmware hashes and device operation data.

5. The production line self-adjusting control system as described in claim 1, wherein, The equipment on this production line is a blockchain light node and can autonomously negotiate tasks through smart contracts.

6. The production line self-adjusting control system as described in claim 1, wherein, This signature firmware container supports Open Platform Communications Unified Architecture (OPA) communication protocols and a partially reconfigurable interface for programmable logic gate arrays.

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