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

2006财政年度是完成这一研究项目的一年。本研究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。启动了一个大规模的试验项目，以展示该项目构建的整个系统的行为。试验项目的情景如下：1）制作三个模拟建筑物，2）用Sunagoke苔藓绿化材料覆盖适当的屋顶和侧壁，3）安装具有内置在FIELD SERVER中的生物信息反馈控制系统的灌溉系统，4）安装用于控制灌溉系统的XML服务器，5）建立基于网络的监控系统。软件开发小组（村濑和清水）开发了SPA软测量系统的通用平台。四个研究小组 ...更多信息 植物工厂技术、植物生理学、收获后和微系统等小组共同努力，建立了一个传感器融合系统，应用各个领域的专业技术。基于网络的SPA传感器系统由传感器元件组成，它们具有各自的PVN架构上的全局IP，由小组领导人Oke、Hirafuji和Shimizu开发，组装成定制的FIELD SERVER。用直接无损测量技术来测定苔藓的水分状况是不可能的。这是一种需要替代软测量技术的情况。利用2D热像仪对苔藓冠层表面温度进行了测量。将采集的数据发送到XML服务器。苔藓的水分状态进行了分析，成功地使用神经网络估计器，使灌溉系统得到适当的控制，以保持所需的水分状态的苔藓上的建筑物的墙壁。必须指出的是，定制的现场服务器不仅提供苔藓冠层温度，但也提供环境条件，如湿度，空气温度，太阳辐射，气压计，风速和风向。这些环境条件被引用到神经网络灌溉决策系统中。该项目已顺利完成。该项目的一部分于2004年10月12日在一家主要电视网播出。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