Technical Name Intelligent multiple-sensing-modality and distributed control system
Project Operator National Pingtung University of Science and Technology
Project Host
Summary
Multiple sensing devices and embedded controller are used to implement the heterogeneous sensing and climate regulating system for crop cultivation management. All sensors and controllers are made by means of MEM technology, and these high-stability modules can be duplicated based on user demand. It is low in terms of hardware implementation costs and flexible interms of hardware modification. The long-distance wireless transmission Zigbee and WiFi network are used in point-to-point data transmission. The data acquisition and validation program are developed to ensure the low data error rate during data transmission stage. Meanwhile, the real-time embedded Fuzzy/PID controllers are employed to regulate the temperature, humidity, lighting, and CO2 based on expert knowledge database in greenhouse. Finally, the environment data can be displayed in a mobile APP device and Webpage. Users can observe the growth response of plants and monitor environmental factors within the cultivation zone remotely at any time in order to effectively enhance the quality and quantity of plant production. The proposed system can be extended to multiple zones of the greenhouse to establish a diversified or consistent cultivation condition and to achieve energy conservation. The experimental results show that the proposed system is stable and robust and provides basis for future greenhouse applications.
Scientific Breakthrough
1.採用分散式區域管理,有別於集中式管理模式,可提升溫室管理效能;
2.採用長距離型ZigBee網狀結構進行感測資訊傳遞與接收,穩定性高、傳輸速率高及重組性強,有別於LoRa或SigFox傳輸模式;
3.控制器內建專家資料庫,可依據植物生理狀態決策出適合的環境條件與調節參數;
4.採用循環校驗法驗證數據正確性,減低數據傳輸錯誤率;
5.感測節點擴散容易,自組織性高,採用位元組數據傳輸,節省傳輸頻寬;
6.數據即時顯現於網頁或APP裝置上,可即時進行觀察、監視、調整與控制場域內各設施裝置;
7.節點設施點故障立即回報與顯示。
Industrial Applicability
此為先導型研究開發技術,目前尚無此類技術應用於農場管理、畜牧管理以及養殖管理,現有的管理方式皆是傳統的自動化技術構成,缺少專家知識庫,且目前的系統缺少智慧感知能力,無法即時反應場域狀況進行調節或者警示告知,導致作物、魚類或者畜養家禽一夕間大量死亡;本技術可提供農民們一個完善的管理措施,提升施作場域管理效能,拾獲農民對於農業智慧化的信心。
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