Radio Performance Estimation for Manufacturing Process Changes
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Solution Overview
Problem
At manufacturing sites, changes in device installation or position due to process changes affect wireless communication performance, leading to potential application failures and decreased operational efficiency, especially for those lacking skilled technicians for master propagation simulations.
Innovation Solution
A system that includes storage and arithmetic devices to estimate radio performance by referring to process information and management information, selecting appropriate wireless communication methods to ensure timely and accurate estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If propagation simulation is performed to estimate radio performance, then measurement precision is improved, but loss of time increases due to complex setup requirements
Solution Approach 1:
The system creates a virtual copy of the manufacturing site layout and device arrangements in a simulation environment. By copying the physical site geometry, device positions, and radio wave propagation characteristics into a computational model, the system enables rapid repeated estimations without physical reconfiguration, thereby reducing setup time while maintaining estimation accuracy.
Solution Approach 2:
The system performs preliminary setup by pre-configuring the simulation environment with site layout data, device information, and propagation models before actual radio performance estimation is needed. This preliminary action includes importing architectural plans, registering device positions, and setting up simulation parameters in advance, so that when estimation is required, only the specific scenario parameters need to be input, dramatically reducing the time required for each estimation task.
2Manufacturing precision
If skilled radio technicians are assigned to perform propagation simulation, then manufacturing precision is improved, but device complexity increases due to specialized personnel requirements
Solution Approach 1:
The system enables self-service operation by providing an intuitive interface that automatically guides users through the estimation process. The system automatically imports site layout data, registers device information, configures simulation parameters, and performs calculations without requiring specialized radio knowledge. This automation of previously manual expert tasks allows non-technical personnel to perform accurate radio performance estimation independently.
Solution Approach 2:
The system introduces a software intermediary that translates complex radio propagation calculations and simulation processes into simple user-friendly operations. This intermediary layer handles the complexity of propagation models, coordinate transformations, and calculation algorithms internally, while presenting only essential input fields and clear results to the user, thereby decoupling operational simplicity from computational complexity.
3Ease of operation
If wireless communication is used to avoid wire rerouting work, then ease of operation is improved, but reliability worsens due to changing radio performance
Solution Approach 1:
The system performs preliminary radio performance estimation for future process configurations before actual implementation. By simulating device arrangements and calculating radio wave propagation in advance for planned process changes, the system identifies potential communication issues before they occur, allowing preventive measures to be taken and ensuring reliable wireless communication when the new process configuration is deployed.
Solution Approach 2:
The system provides feedback on radio performance predictions for planned process changes, enabling operators to evaluate whether wireless communication will remain reliable under future configurations. This feedback mechanism allows for optimization of device positions, selection of appropriate communication frequencies, and identification of potential interference issues before implementation, thereby maintaining reliability while adapting to process changes.
Data Source
AI summary
The system stores process information including information on processes before starting at a manufacturing site, and management information that manages radio performance estimation methods usable for each of applications and information for determining a processing time of each of the radio performance estimation methods. The process information includes information on applications used in each process of the processes and information on a time associated with each process. The system refers to the process information and the management information so as to determine radio performance estimation methods usable in each process, and refers to the process information and the management information so as to select a wireless communication method, through which radio performance estimation processing is completed by a time associated with each process, from the radio performance estimation methods usable in each process.