桃園市下水道智慧雲端物聯網監測系統發展與應用

THE DEVELOPMENT AND APPLICATION OF INTELLIGENT CLOUD-BASED IoT SEWER MONITORING SYSTEM IN TAOYUAN

劉振宇(Chen-Wuing Liu) ； 李金靖(Jin-Jing Lee) ； 張弘岳(Hung-Yueh Chang) ； 黃旭輝(Hsu-Hui Huang) ； 鍾淑女(Shu-Nu Chung) ； 蔡明璋(Ming-Chang Tsai) ； 林家宏(Chia-Hung Lin) ； 邱建華(Chien-Hua Chiu)

《中國土木水利工程學刊》 32卷5期 (2020/09) Pp. 453-462

https://doi.org/10.6652/JoCICHE.202009_32(5).0009

摘要

下水道建設可提升都市生活品質，為國家或都市進步指標。雨水下水道收集及排放地表逕流雨水，改善都市水患問題。桃園市雨水下水道總建設長度為430公里，包含桃園、中壢等各行政區均持續發展雨水下水道建設，實施率超過75%。為維持下水道管線功能運作正常，以往桃園市主要採用傳統人力或TV檢視車定期巡檢，隨著下水道建設總長度逐年大幅增加下，持續採用傳統巡檢將造成桃園市政府財政負擔，且無法有效達成「災前整備、災中應變、災後復原」之智慧防災政策目標。有鑒於此，桃園市政府水務局向內政部營建署爭取到「前瞻基礎建設計畫」補助經費，導入台灣蓬勃發展中之人工智慧物聯網（AIoT）技術，規劃建置「下水道智慧監控系統」，包含建置60站雨水下水道流量液位監測站，每5分鐘回傳一筆監測數據。整個系統從108年中開始運作，結合IoT物聯網、監測設備及雲端運算技術，掌握水位歷線變化，研擬設置警戒門檻值，進行地區積淹水預警通報，逐漸補足以往都內水情資訊缺少的一塊拼圖。桃園市水務局首開地方政府之先河發展下水道智慧監控系統，於重點區下水道系統設置水情監測站，掌握下水道水位變化，並自動導入多元立體水情資訊，掌握區域整體內、外水之水情時間、空間變動，提供水情中心指揮官進行調派人力機具等決策支援重要參考資訊，更可掌握下水道實際運作狀況，研判下水道管網是否有雨污混流或異常水流狀況，作為下水道維運之重要資訊，節省大量巡檢之時間與人力。同時，桃園市下水道智慧監控系統建置之主要目的為保障民眾生命財產之安全，民眾可第一時間掌握各項警戒訊息，進一步減災、避災，降低民眾生命財產之損失，下水道智慧監控等水情防災系統所帶來之社會效益是無價的。

關鍵字

下水道 ； 物聯網 ； 大數據分析

並列摘要

The sewer system is one of the major public facilities, it is also an indicator of city progress. In Taiwan, the stormwater sewer collect and discharge the surface runoff rainfall in order to prevent flooding issues. The total length of the stormwater sewer system in Taoyuan City is 430 km, the sewer system is continuously constructed in each administrative area, and it has reached above 75% implementation rate. In order to keep the sewer system operated, Taoyuan city arranges labor and TV inspection vehicle to conduct scheduled inspection. However, with the increase of the total length of sewer construction, using labor to conduct inspection will cause the financial burden of the local government, meanwhile, the goal of the preparedness, the response, and the recovery cannot be effectively achieved. Given that fact, the DWRT (Department of Water Resources, Taoyuan) have obtained the budget subsidy of Forward-Looking Infrastructure Development Program provided by Construction and Planning Agency, Ministry of Interior. This project is established based on AIoT technology, which is flourish in Taiwan. The project plans to set up 60 the water level monitoring stations in stormwater sewer system, the station will report a real-time data per 5 minutes. The whole system has been operated since the middle of 2019, with the technologies of IoT, monitoring instruments, and cloud computing, it can well manage the every variation of the water level and predict a warning threshold. While the flood events occur, the system will automatically proceed alerting process. The System has now completed the final piece of the puzzle for fulfilling the water resource information.

並列關鍵字

sewer ； IoT (Internet of Things) ； BDA(Big Data Analysis)

參考文獻

See, C. H.,Horoshenkov, K. V.,Abd-Alhameed, R. A.,Hu, Y. F.,Tait, S. J.(2012).A low power wireless sensor network for gully pot monitoring in urban catchments.IEEE Sensors Journal.12,1545-1553.

Weiss, G.,Brombach, H.,Haller, B.(2002).Infiltration andInflow in Combined Sewer Systems: Long-Term Analysis.Water Science and Technology.45,11-19.

Shelton, J. M.,Kim, L.,Fang, J.,Ray, C.,Yan, T..Assessing the severity of rainfall-derived infiltration and inflow and sewer deterioration based on the flux stability of sewage markers.Environmental Science & Technology.45,8683-8690.

Mattsson, J.,Mattsson, A.,Davidsson, F.,Hedström, A.,Österlund, H.,Viklander, M.(2016).Normalization of wastewater quality to estimate infiltration/inflow and mass flows of metals.Journal of Environmental Engineering.142

Mingkai, Z.,Yanchen, L.,Xun, C.,David, Z. Z.,Hanchang, S.,Zhiguo, Y.(2018).Quantifying rainfall-derived inflow and infiltration in sanitary sewer systems based on conductivity monitoring.Journal of Hydrology.558,174-183.