Particle Beam Adjustment Using AI Parameter Search
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Solution Overview
Problem
Existing particle beam apparatuses face challenges in efficiently adjusting beam size and position due to the need for multiple trial iterations, which can lead to increased activation, damage, and dose leakage of the transport duct.
Innovation Solution
A particle beam apparatus equipped with a calculation device for transport route adjustment that utilizes an optimization processing unit to search for optimal parameter candidate values using artificial intelligence, allowing for rapid adjustment of beam size and position with fewer trial times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple trial iterations are performed to adjust beam size and position, then beam adjustment accuracy is improved, but duct activation and damage increase
Solution Approach 1:
The patent applies preliminary action by using simulation technology to pre-calculate and determine optimal beam adjustment parameters before actual physical adjustment. The simulation system models the particle beam transport route and predicts the effects of parameter changes, allowing the actual adjustment process to skip multiple trial iterations and directly achieve accurate beam size and position settings without causing duct activation or damage through repeated physical trials.
2Manufacturing precision
If multiple trial iterations are performed to adjust beam size and position, then beam adjustment accuracy is improved, but manufacturing time increases
Solution Approach 1:
The patent applies copying by creating a virtual simulation model of the particle beam transport route that replicates the physical system's behavior. This digital copy allows repeated experimentation and parameter optimization without consuming physical time or resources. The simulation model processes beam adjustment calculations much faster than physical trials, enabling accurate beam size and position determination through computational rather than temporal iteration, thus significantly reducing manufacturing time.
3Manufacturing precision
If multiple trial iterations are performed to adjust beam size and position, then beam adjustment accuracy is improved, but work burden increases
Solution Approach 1:
The patent applies self-service by implementing an automated simulation system that performs beam adjustment calculations and optimization autonomously. The simulation environment automatically tests different parameter combinations, evaluates beam performance metrics, and determines optimal adjustment values without requiring manual intervention or iterative physical experimentation. This automation significantly reduces the work burden by replacing manual trial-and-error operations with automated computational processes that achieve the same accuracy more efficiently.
Data Source
AI summary
A particle beam apparatus includes: a transport route that guides a particle beam for irradiating an irradiation target to an irradiator; a beam adjustment unit that adjusts a beam size and a beam position of the particle beam; a calculation unit; a storage unit; and an optimization processing unit that searches for a parameter candidate value of the beam adjustment unit, in which the calculation unit adjusts the beam adjustment unit by using the parameter candidate value searched by the optimization processing unit.


