| Project/Area Number |
09555121
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
計測・制御工学
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
MORIIZUMI Toyosaka Tokyo Institute of Technology, Faculty of Engineering, Professor, 工学部, 教授 (80016534)
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| Co-Investigator(Kenkyū-buntansha) |
IWASHITA Isao River Eletec Corp., Director, 取締役
MATSUURA Yoshinori Figaro Engineering Inc., Senior Manager, 開発部・開発1, グループリーダー(研究職)
NAKAMOTO Takamichi Tokyo Institute of Technology, Faculty of Engineering, Associate Professor, 工学部, 助教授 (20198261)
YOSHIMURA Masayoshi Tokyo Institute of Technology, Research Associate, 工学部, 助手
石田 寛 東京工業大学, 工学部, 助手 (80293041)
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| Project Period (FY) |
1997 – 1999
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| Project Status |
Completed (Fiscal Year 1999)
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| Budget Amount *help |
¥5,700,000 (Direct Cost: ¥5,700,000)
Fiscal Year 1999: ¥2,400,000 (Direct Cost: ¥2,400,000)
Fiscal Year 1998: ¥3,300,000 (Direct Cost: ¥3,300,000)
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| Keywords | Semiconductor gas sensor / Quartz Crystal Microbalance / plume-tracing robot / Gas-video camera / Optical-flow constraint equation / transient sensor response / Sensor array / turbulent flow / 小型水晶振動子 / 2次元センサアレイ / ガス濃度分布可視化 / ガス流方向推定 / トレーサ / ロックイン計測 / 過渡応答モデル / オプテカルフローの拘束式 / 匂い・ガス源探知 / ガスセンサアレイ / オプティカルフロー / 悪臭源探知 / 流れの可視化 / FPGA / トリエチルアミン / シミュレーション / ガスフロー / 風速センサ |
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| Research Abstract |
It is important to develop the sensing system for localizing an odor source since the sources of bad smell, contamination, and explosive should be rapidly found. However, the artificial system with sufficient capability has not been so far developed. Since the odor is generally carried by wind accompanied by turbulence, the behavior of its flow is very complicated. Although the robot for plume tracing previously developed by our group is available for searching the source in a room with comparably constant flow such as clean room, the reliable exploration in the outdoor field or in the room almost without the wind is difficult task for the present robot.
Then, a homogeneous sensor array was introduced to visualize the dynamic gas/odor behavior instead of a few sensors previously used. When we use that sensor array, the redundant information indispensable for increasing the reliability of the direction estimation is available to suppress the influence of the turbulence.
First, the sensor array configuration was optimized to obtain a clear image by the simulation. Next, the experiment on the pulse-drive semiconductor gas sensor array was performed. However, the flow direction was obtained only at the starting time for spouting vapor or at the time for stopping the vapor exposure since the recovery time from the response was not sufficient.
Finally, the semiconductor gas sensor array was replaced by that of miniaturized QCM (quartz crystal microbalance) gas sensors with time constant around a second. Using that sensor array, the gas flow can be always visualized clearly and the estimation of the flow direction was successful not only inside wind tunnel but also in the clean room where the variation of the wind speed was much larger than that in the wind tunnel.
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