Method, Apparatus, and Device for Quality Early Warning on Key Parameters of Lithium Battery Coating Device

A apparatus for quality early warning on key parameters of a lithium battery coating device, wherein the apparatus comprises:

• a parameter determination module, configured to confirm coating process key control parameters;
• a process data acquisition and storage module, configured to acquire process data of the coating process key control parameter, and transmit the process data to a high-performance storage unit, the process data acquisition and storage module being connected to the parameter determination module;
• a model selection module, configured to acquire different control parameter configurations according to the process data, and select an applicable early warning model from no less than two Statistical Process Control (SPC) process quality early warning models, the model selection module being connected to the process data acquisition and storage module;
• an early warning rule selection module, configured to select corresponding early warning criteria for the applicable early warning model, the early warning rule selection module being connected to the model selection module;
• a control state data check module, configured to perform a preprocessing check on coating process control state data in the process data to obtain control parameter check data, the control state data check module being connected to the process data acquisition and storage module;
• a real-time early warning information retrieval module, configured to, according to the corresponding early warning criteria, perform window calculation on the control parameter check data using a Flink big data calculation framework, so as to obtain real-time key parameter early warning information, the real-time early warning information retrieval module being connected to the control state data check module and the early warning rule selection module;
• and
• a process control module, configured to analyze and process the real-time key parameter early warning information to obtain coating process control data, so as to control the coating process key control parameters to be in an applicable range, the process control module being connected to the real-time early warning information retrieval module.

A device for quality early warning on the key parameters of a lithium battery coating device, comprising:

• a memory, a processor, a communication interface, and a bus;
• the memory, the processor, and the communication interface are connected through the bus and communicate with each other;
• the memory is configured to store a program code;
• and
• the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to perform a method for quality early warning on the key parameters of the lithium battery coating device, wherein the method for quality early warning on the key parameters of the lithium battery coating device comprises:
• confirming coating process key control parameters;
• acquiring process data of the coating process key control parameter, and transmitting the process data to a high-performance storage unit;
• acquiring different control parameter configurations according to the process data, and selecting an applicable early warning model from no less than two Statistical Process Control (SPC) process quality early warning models;
• selecting corresponding early warning criteria for the applicable early warning model;
• performing a preprocessing check on coating process control state data in the process data to obtain control parameter check data;
• according to the corresponding early warning criteria, performing window calculation on the control parameter check data using a Flink big data calculation framework, so as to obtain real-time key parameter early warning information;
• and
• analyzing and processing the real-time key parameter early warning information to obtain coating process control data, so as to control the coating process key control parameters to be in an applicable range.