Soft-sensing technology for bioinstrumentation by speaking plant approach in XML environment

2006财年是完成这一研究项目的一年。本研究项目的总体目标是在植物生长控制、管理和监测中实施说话植物方法，并通过软测量技术和XML通信方案收集植物生物信息。为了演示该项目构建的整个系统的行为，启动了一个大规模的试验项目。试验项目的方案如下：1)制作三栋模拟建筑，2)在适当的屋顶和侧墙上覆盖Sunagoke苔藓绿化材料，3)安装一个灌溉系统，在田间服务器中内置生物信息反馈控制系统，4)安装用于灌溉系统控制的XML服务器，5)建立基于互联网的控制和监测系统。软件开发小组(村上春树和清水)为SPA软测量系统开发了一个通用平台。四个研究分支机构…更多的小组，即植物工厂技术、植物生理学、收获后和微系统，合作建立了一个传感器融合系统，应用了每个领域的专门技术。基于网络的SPA传感器系统是由小组组长OKE、Hirafuji和Shimizu开发的，传感器元件在PVN架构上具有自己的全局IP，以组装定制的田间服务器。试验系统旨在验证系统的运行，用描述苔藓生理状态的单变量来描述苔藓的水分状况。用直接无损测量技术测量苔藓的水分状况几乎是不可能的。这是一种需要替代软测量技术的情况。利用二维热像仪对苔藓冠层表面温度进行了测量。获取的数据被发送到XML服务器。利用神经网络估计器成功地分析了苔藓的水分状况，从而适当地控制了灌溉系统，以维持建筑物墙壁上苔藓的所需水分状态。必须注意的是，定制的田间服务器不仅提供苔藓冠层温度，还提供湿度、气温、太阳辐射、气压计、风速和风向等环境条件。这些环境条件被引用到灌溉神经网络决策系统中。该项目已成功完成。该项目的一部分于2004年10月12日由一家主要电视网进行了电视转播。较少

2006 fiscal is the year to finalize this research project. The overall objectives of this research project were to implement the speaking plant approach in plant growth control, management and monitoring, and to collect plant biological information by means of soft-sensing techniques together with XML communication scheme. A large scale trial project was launched in order to demonstrate the behavior of the entire system built by this project. The scenario of the trial project is the following : 1) to fabricate three simulated buildings, 2) to cover appropriate roof tops and side walls with Sunagoke moss greening materials, 3) to install an irrigation system with biological information feed back control system built in a FIELD SERVER, 4) to install XML server for the control of the irrigation system, 5) to establish internet based control and monitoring system. The software development group (Murase and Shimizu) developed a general platform for SPA soft-sensing system. Four research sub … More groups namely, plant factory technology, plant physiology, post-harvest, and Microsystems worked together to build a sensor fusion system applying techniques specialized in each field. The web based SPA sensor system consisting of sensor elements with their own global IP on PVN architecture was developed by subgroup leaders, Oke, Hirafuji and Shimizu to assemble a customized FIELD SERVER.The trial system was designed to verify the systematic operation with a single variable describing moss physiology which is the water status of moss. It is seldom possible to measure water status of moss using direct non destructive measuring technique. This is a situation which requires an alternative soft-sensing technique. A 2D thermoviewer camera was used to measure the surface temperature of moss canopy. The acquired data were sent to the XML server. The water status of moss was analysed using a neural network estimator successfully so that the irrigation system was controlled properly to maintain required water status of moss on the building wall It must be noted that the customized field server provided not only moss canopy temperature but also environmental conditions such as humidity, air temperature, solar radiation, barometer, wind speed and direction. Those environmental conditions were referred in the neural network decision system for irrigation. The project was successfully finalized. The part of project was televised by one of major TV networks on Oct. 12, 2004. Less