Green Environmental Engineering Consultant Co., Ltd.綠環工程技術顧問有限公司www.geec.com.tw/
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COMPANY
Green Environmental Engineering Consultant Co., Ltd. (GEEC) spun off from Industrial Technology Research Institute in 2013. GEEC specializes in the application of multi-sensor monitoring system including InSAR, GPS, Leveling and Multi-layer compaction monitoring well in monitoring land deformation and deformation mechanism.
公司簡介
綠環工程技術顧問有限公司為工業技術研究院綠能與環境研究所協助成立之新創事業,本公司專精於利用多重感測器,包含有InSAR、GPS、精密水準與磁環分層式地層下陷監測井等三維立體監測技術,對地表變形進行精密監測及分析變形機制。
PRODUCTS
Multi-layer compaction automatic monitoring equipment
Base on the Hall effect, we design and develop the following multi-layer compaction automatic monitoring equipment.
1. Magnetic detect probe: It consists of 36 sensors to detect the magnetic force from magnetic ring and to simulate the magnetic curve. The equipment can automatically detect the position of magnetic ring at different epoch to calculate the compaction in land subsidence area
2. IoT translates module: We further adopt the IoT technology to transmit the compaction information to the control center and intelligently monitor the time series of land subsidence.
Cloud GPS early warning system for surface deformation
The system is established on the Amazon Web Services (AWS). Cloud storage, cloud computing and analysis are utilized fully for the highly automatic procedure of GPS measurements imported, data processing and deformation analysis. The final graphic results are also announced automatically to the Internet for the purpose of early warning. The advantages of cloud application are fully introduced into the system for being applied on the large-scale surveillance. Lastly, not only minimizing the human factors, but the cloud-based system also brings the technology of monitoring engineering to the new stage.
Multi Temporal InSAR, MT-InSAR
Multi temporal InSAR technique has several advantages including (1) high spatial sampling density, (2) high measurement accuracy, and (3) high measurement frequency.
We use Small Baseline Subset Differential method (one of MT-InSAR methods) with Sentinel-1A images to monitor land subsidence in Choushui River Alluvial Fan and also develop fusion method to combine the results from space-borne (SAR) and terrestrial (leveling) measurements. The fusion result can better represent the overall subsidence pattern and reveal more details of land deformation.
Base on the Hall effect, we design and develop the following multi-layer compaction automatic monitoring equipment.
1. Magnetic detect probe: It consists of 36 sensors to detect the magnetic force from magnetic ring and to simulate the magnetic curve. The equipment can automatically detect the position of magnetic ring at different epoch to calculate the compaction in land subsidence area
2. IoT translates module: We further adopt the IoT technology to transmit the compaction information to the control center and intelligently monitor the time series of land subsidence.
- Features:
- Sensor matrix include 36 sensors
- Automatic monitoring compaction in land subsidence area
- Accuracy of measurement is better than 1 mm
Cloud GPS early warning system for surface deformation
The system is established on the Amazon Web Services (AWS). Cloud storage, cloud computing and analysis are utilized fully for the highly automatic procedure of GPS measurements imported, data processing and deformation analysis. The final graphic results are also announced automatically to the Internet for the purpose of early warning. The advantages of cloud application are fully introduced into the system for being applied on the large-scale surveillance. Lastly, not only minimizing the human factors, but the cloud-based system also brings the technology of monitoring engineering to the new stage.
- Features:
- Cloud Computing
- Global Positioning System
- Warning of Surface deformation
Multi Temporal InSAR, MT-InSAR
Multi temporal InSAR technique has several advantages including (1) high spatial sampling density, (2) high measurement accuracy, and (3) high measurement frequency.
We use Small Baseline Subset Differential method (one of MT-InSAR methods) with Sentinel-1A images to monitor land subsidence in Choushui River Alluvial Fan and also develop fusion method to combine the results from space-borne (SAR) and terrestrial (leveling) measurements. The fusion result can better represent the overall subsidence pattern and reveal more details of land deformation.
- Features:
- High spatial sampling density
- High measurement accuracy (10 mm)
- High measure frequency (revisiting period: 12 days)
產品簡介
磁環分層式地層下陷自動化量測設備
依據電磁感應特性研發磁環分層式地層下陷自動化量測設備,該設備包括磁力矩陣探測棒(裝置有36個探測器擬合磁力變化曲線)與IoT傳輸設備,該產品放置在現有的地層下陷監測井,可自動化精確量測磁感應環位置(量測精度優於1mm),掌握不同地層的地層下陷變化量,同時透過IoT技術自動回傳變形量到控制中心,智慧監控主要地層下陷區的時間序列序變化。
雲端自動化GPS地表位移偵測預警系統
建構於亞馬遜雲端服務(Amazon Web Services, AWS)的自動化GPS地表位移偵測警示系統,從GPS觀測資料匯入、GPS資料運算以及後續的位移偵測分析,皆以高度自動化的流程在雲端儲存、雲端運算分析中完成。而其最終警示資訊也同樣自動化於網路中發布,以達預警之目的。本系統將雲端之優勢充分發揮於大尺度工程監測應用中,不僅將人為因素降至最低,也將工程監測帶入另一個雲端技術的新紀元。
多時域雷達干涉量測技術
多時域雷達干涉技術,具快速監測大範圍地表形變之特性,不僅可提供高密度面狀資訊,量測精度可達釐米等級,同時可以高頻率監測地表變形。利用短基線子集差分干涉法(Small Baseline Subset Differential method)搭配Sentinel衛星影像,針對濁水溪沖積扇進行監測,同時發展資料融合技術,結合雷達干涉資料與地面水準測量資料,能有效與精確的掌握地表變形資訊。
依據電磁感應特性研發磁環分層式地層下陷自動化量測設備,該設備包括磁力矩陣探測棒(裝置有36個探測器擬合磁力變化曲線)與IoT傳輸設備,該產品放置在現有的地層下陷監測井,可自動化精確量測磁感應環位置(量測精度優於1mm),掌握不同地層的地層下陷變化量,同時透過IoT技術自動回傳變形量到控制中心,智慧監控主要地層下陷區的時間序列序變化。
- 特點:
- 36個磁力探測矩陣
- 自動化量測地層下陷變形量
- 量測精度優於1mm
雲端自動化GPS地表位移偵測預警系統
建構於亞馬遜雲端服務(Amazon Web Services, AWS)的自動化GPS地表位移偵測警示系統,從GPS觀測資料匯入、GPS資料運算以及後續的位移偵測分析,皆以高度自動化的流程在雲端儲存、雲端運算分析中完成。而其最終警示資訊也同樣自動化於網路中發布,以達預警之目的。本系統將雲端之優勢充分發揮於大尺度工程監測應用中,不僅將人為因素降至最低,也將工程監測帶入另一個雲端技術的新紀元。
- 特點
- 雲端計算
- 全球定位系統
- 地表位移警示
多時域雷達干涉量測技術
多時域雷達干涉技術,具快速監測大範圍地表形變之特性,不僅可提供高密度面狀資訊,量測精度可達釐米等級,同時可以高頻率監測地表變形。利用短基線子集差分干涉法(Small Baseline Subset Differential method)搭配Sentinel衛星影像,針對濁水溪沖積扇進行監測,同時發展資料融合技術,結合雷達干涉資料與地面水準測量資料,能有效與精確的掌握地表變形資訊。
- 特點
- 大範圍面狀監測
- 高量測精度 (約10mm)
- 高觀測頻率 (每12天一次)