## 5 Results
### Implementation of Coil Production Process Information Traceability  
A lightweight software application (The version of the software used in this study is version 1.2.1) for information traceability in the coil manufacturing process was developed based on the industrial Internet identification and resolution system, combined with the extended Petri net analysis proposed in this study. As shown in Figures 15-17, information traceability cards with identification codes are attached to coils, equipment, personnel, and materials, facilitating the collection and correlation of all process information based on these identification codes. For example, in the coil production process, operators must complete a permission verification based on identification codes before starting the equipment. Once the equipment is successfully started, it automatically associates the device code with the operator's code. Additionally, operators do not need to interact with the system; they can simply scan the device code and order code to automatically retrieve drawings and work instructions. Once prepared, by scanning the identification code of the work-in-progress, they can automatically obtain and distribute process parameters, initiating the winding operation. Each of these scanning actions triggers automatic data collection and recording, laying the foundation for information traceability. At any stage of coil production, by identifying the unique code, information flow paths and detailed information within the Petri net can be obtained based on this code. For example, historical information can include the source of raw materials, process parameters, production personnel, production equipment, and quality inspection data. Moreover, based on the \"modeling theory for the acquisition transformation of traceability scenarios and traceability \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Performance** & **Barcode** & **QR Code** & **IC Card** & **RFID** \\ \hline Information storage capacity & 1–100 B & 1–110 B & 16–64 KB & 16–64 KB \\ \hline Data carrier & Paper, plastic or metal & Paper, plastic or metal & EEPROM & EEPROM \\ \hline Cost & Very low & Very low & Low & Medium \\ \hline Reading method & CCD or laser scanning & CCD or laser scanning & Additional translation & Point erase Wireless radio frequency \\ \hline Reading speed & Slow & Slow & Relatively slow & Fast \\ \hline Covering effect & Complete failure & Complete failure & / & No impact \\ \hline Read-write distance & 0–50 cm & 0–50 cm & Direct contact & 0–5 m \\ \hline \hline \end{tabular}
\end{table} 
Table 11: Comparison of code recognition technology characteristics in the workshop. units\" proposed in this paper, predicting the position and process status of the coil at future moments is considered an acquisition transformation of subsequent traceability units. Utilizing the coil's current position, standard working time, accumulated quality errors, and process path, the production progress can be determined in real time, enabling the prediction of potential production waiting for waste and bottleneck risks. In logistics, warehousing, distribution, and other processes, the movement of key materials undergoes multiple traceable stages, which can be conceptualized as a linear traceability scenario. By leveraging identification resolution codes, the movement time, location, usage records, and operators of materials can be sequentially associated and recorded. Furthermore, upon completion of coil production, the identification resolution code serves as input to associate and retrieve multiple traceability units through a disassembled traceability scene transformation. This process allows for the retrieval of detailed information, including product batches, production entities (factories, workshops, production lines), raw material suppliers, process station records, and comprehensive quality reports.