# Digital Twin-Based Vibration Monitoring of Plant Factory Transplanting Machine
## 3 Results and Discussion
### Analyzing Different Sensor Solutions for the Deployment of AD Applications  
The axiomatic design theory states that in the presence of multiple deployment schemes it is essential to evaluate these schemes using the information axiom theory. After careful consideration, the fault analysis applications in the DT plant factory transplant system have determined the most suitable deployment scheme for PFT vibration analysis. Three different sensor deployment schemes that satisfy the axioms have been determined based on factors like the PFT model's modification space, input from field technicians, sensor characteristics, and analysis of sensor requirements. These schemes are presented in Table 2.  
The calculation method for the information content of the deployment options varies depending on the evaluation indicators. The assessment criteria for the PFT of the plant \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & \multicolumn{6}{c}{**Sensor Type, Mounting Position, and Number**} \\ \cline{2-9}  & \multicolumn{2}{c}{**S-1**} & \multicolumn{2}{c}{**S-2**} & \multicolumn{2}{c}{**S-3**} & \multicolumn{2}{c}{**S-4**} & \multirow{2}{*}{**Amount**} \\  & \multicolumn{2}{c}{**Unidirectional Accelerometers**} & \multicolumn{2}{c}{**Amount**} & \multicolumn{2}{c}{**Three-Axis Accelerometers**} & \multicolumn{2}{c}{**Enrosensors**} & \multicolumn{2}{c}{**Amount**} \\ \hline Sc-1 & / & 0 & M-1 & 6 & M-3 & 6 & M-2 & 3 \\ Sc-2 & / & 0 & M-1 & 4 & M-3 & 6 & M-2 & 3 \\ Sc-3 & M-1 & 12 & / & 0 & M-3 & 6 & M-2 & 3 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Deployment schemes of sensors in the plant factory transplant DT system. Figure 6: Multi-domain PFT model based on DT. transplantation system DT deployment plan are categorized into technical, societal, and economic indicators, taking into account factors like sensor attributes. The field worker guidance and sensor procurement are used to acquire the initial values of the various evaluation indicator deployment schemes. The ES matrix, which is a standardized evaluation matrix, was derived from the EI matrix, which is a standardized initial evaluation matrix. Eventually, the DI sequence for the perfect design information interval was acquired with the aforementioned assessment criteria, frameworks, and so forth. Table 3 displays the presented information. The material and sensor costs are calculated based on actual production costs. The sensors used are produced by Donghua Test, and the specific pricing can be obtained from Donghua Test at [[http://www.dhtest.com/](http://www.dhtest.com/)]([http://www.dhtest.com/](http://www.dhtest.com/)) (accessed on 13 January 2022). Based on the contents of Table 3, it is possible to calculate the factor values and information for the deployment scenario of the PFT in the DT application of the plant transplanting system, as shown in Table 4.  
Based on the ideal standard of the information axiom, it is evident that the most suitable plan is Sc-2. This plan includes placing a triaxial accelerometer sensor above the robotic arm used for transplanting, an infrared sensor on the conveyor table, and a vision sensor above the rack for seedling trays. Considering economic, technical, and social factors, this ideal deployment plan is achieved. By meeting the technical requirements for PFT vibration analysis applications, it enables a reduction in sensor equipment expenses while guaranteeing the safety of field workers and the feasibility of sensor deployment. Subsequently, by deploying sensors based on this scheme, comparative analysis of the operational parameters of the transplanting machine can be conducted to explore the optimal operational parameters for the suitable operation of the transplanting machine.