非線形モデル推定を用いた走査速度適応型 放射線モニタリング計測手法

In radiation measurement after decontamination in nuclear disaster areas affected by nuclear power plants, it is known that the local high dose sites called hot spots are scattered. The measurement method of efficient and simple and also different from conventional method is required in order to search for local hot spot factors. This paper describes the estimation method of using model possessed the nonlinearity as the way to minimize the influence of both mechanical and stochastic noise included in ether the sensors or data, regarding time-series data monitored by using external sensors. This method could convert to the amount of radiation detection supposed from relative value of it in a static detection at the point by paying attention of change of peak in radiation detection level according to moving velocity in identical amount of radiation detection. We presume the parameters of the model with repeating the least squares method computation steps consisting of a number of finite sampling transition from the starting point of searching in time series data based on a function model according to moving velocity while moving multiple times, and derive the relation to dose level converted to radiation detection indicating for the behavior of hot spot factors at the point.