作者

張文忠

摘要

現地監測及場址反應預警為大地工程領域常須面對之挑戰，隨著感測與通訊技術之發展與普及，基於物聯網(Internet of Things,IoT)之感測技術結合雲端通訊與計算，已成為此世代大地工程師之利器，而隨著嚴謹數值分
析及數值驅動(data-driven)人工智慧領域之推展，結合即時監測之預警在短期內預期對大地工程專業造成衝擊，物聯網及雲端技術為新世代大地工程師必須熟習應用之專業。
回顧現地監測之發展歷程， 其經歷人工計讀、自動監測、數位傳輸、雲端儲存呈現及即時輔助決策等過程，其目的為自動化監測與預警，自動化系統其組成包括：感測單元、資料擷取單元、資料傳輸單元、資料儲存展現或分析單元， 以及電源供應等五個單元。其中分布式無線感測器網路(Wireless Sensor Networks, WSN)為其一重要里程，WSN是由一到數個無線資料收集器以及為數眾多的感測器所構成的網路系統(Chong and Kumar,2003)，元件之間的溝通採用無線的通訊方式，且具備低成本、低耗電、體積小、容易佈建，並具有感應環境裝置，可程式化、可動態組成等特性，物聯網為無線感測加上控制之功能。此外對於量測數據之詮釋與應用，尤其是達成如預警與即時輔助決策，為現地監測之主要目的，其中雲端技術為不可或缺之環節。

作者

林美聆

摘要

近代進入二十一世紀以來，各項機械、電機、電子方面的科技發展極為快速，尤其在無線網路及通訊方面，由3G、4G、到目前的5G及即將進入的6G，大量數據資料無線傳輸能力不斷增強，有利於大量資訊的收集及高速傳輸。此外配合雲端技術的發展，為所收集的大量數據提供儲存與分析運算之利器。而電機及電子跨領域之結合，正快速發展並應用在各類項目之量測及偵測，各項設備元件操作功能愈形強大，體積則不斷縮小且速度愈加快速。這類微機電感測元件及技術，應用在量測及偵測所得到的大量資料數據，正可藉由無線通訊傳輸數據並儲存於雲端空間。這些科技應用除了硬體上的發展，也需要軟體發展充分配合，同樣的這一部分的科技也有快速的進展。這類軟硬體結合的新興科技已有快速的進展，並持續推廣應用到不同領域，更有助於各項變異之快速偵測及現地資料收集與分析。
大地工程與地表環境及土地使用有密不可分的關係，牽涉到各項天然災害及工程施工之監測，同時各項監測及資料收集與分析研判，對於災害防減更是重要利器。前項新科技在微機電量測元件、監測技術發展、物聯網大量數據傳輸通訊、及雲端數據儲存分析方面的研發，應用於地表監測、工程設施量監測及相關災害防減上，均有相當程度的新發展及應用。這樣的技術對於現地地表變異可以即時遠端掌握，藉由雲端大數據快速分析運算，更可提供近即時重要決策之支援依據。現地地表資訊不但可以作為工程實務之用，對於設施管理及災害防治應用提供重要數據，配合雲端技術快速分析研判，更可作為安全管理之重要參考依據。本期「物聯網(IoT)與雲端技術在地工之應用」的專題，在上述新科技應用於地表環境、工程設施、及邊坡與集水區防災監測領域，分享目前科技成果與實際案例應用，可以提供相關產官學研專業從業人士之參考。
大地工程一直以來，與地表環境有密不可分的關係，更常牽涉到各項天然災害。「地工技術 」自創刊以來，陪伴著國內眾多的大地人成長，並提供了專業領域的新觀念與新技術發展的知識。本期專輯推出之物聯網(IoT)與雲端技術，應用於地表環境、工程設施、及邊坡與集水區防災監測領域，將新科技發展的重要趨勢，引介給國內的大地界，提升國內大地界在相關科技發展應用的認知，也與未來科技發展趨勢相結合，期許「地工技術」能持續引介新的觀念與技術，使國內大地界更為受益，與時並進。

英文篇名

Sensitivity Analysis of Spatial Interpolation in Assessing Landslide Risk Using Wireless Sensor Systems

作者

許瑋庭、郭佩棻、李威勳、張大緯、柯永彥

關鍵字

物聯網、邊坡種子、指示克利金法

摘要

臺灣位於地震與颱風等自然災害頻繁地區，公路系統邊坡之災害監控與受災範圍預測一直是備受關注的議題。然而，公路邊坡崩塌多為小規模、淺層及發生地點不固定等，導致即時監控不易。因此，本研究先前已結合無線通訊與物聯網技術，開發免插電、長待機、低成本、大範圍監測之感測器(邊坡種子)，可快速判斷加速計資料並回傳環境變動趨勢(靜止、滑動、振動)。為驗證監測器性能與埋設規畫之誤差，本研究以人為模擬邊坡崩塌試驗為例，應用指示克利金方法(Indicator Kriging, IK)推估邊坡崩塌機率，並模擬在不同規模、形狀和資料損失情境下，邊坡種子之預測效能。結果指出，指示克利金法推估成果雖受到崩塌形狀與資料損失影響，然在30%資料損失情境下，預測之崩塌形狀與現況相符，資料仍具空間相關性，建議可結合本系統與現有設備於公路沿線推估邊坡崩塌災害範圍與後續路網疏散策略制定。

英文摘要

Since Taiwan is prone to frequent natural disasters such as earthquakes and typhoons, disaster prevention is a significant issue. In this study, wireless communication and Internet of Things (IoTs) technologies were combined to develop land sliding sensors, which can monitor the slope movement at low cost and over a wide scale. These land sliding sensors can allow quick assessment of the slope condition (stationary, sliding, vibrating). Indicator Kriging (IK) was conducted in this study to estimate the probability of collapse using the sensor calibrated data. The effect of sensor data loss on assessing the slope status was also evaluated. The results indicated that the sensor distribution and the locations of the sensors with missing data had a great impact on the predictions based on IK. However, when the data loss was within 30%, the remaining functioning data could still exhibit their spatial correlation and be further applied to determine the sliding area and formulate the evacuation strategy.

作者

林伯勳、何幸娟、許恆瑜、王宇彤、陳俊愷、許振崑、林齊堯、張成璞、周文祥

關鍵字

石門水庫集水區、水砂觀測、物聯網、水庫保育

摘要

本文以石門水庫集水區為研究區域，透過歷史衛星影像圖資結合遙測技術瞭解歷史水砂環境變異探討水庫集水區產砂熱區；透過石門水庫集水區水砂觀測物聯網，利用水位及濁度感測元件，觀測高來砂河段水砂變動，以實測數據即時掌握水砂運移現況，釐清事件型集水區水砂收支及入庫量體規模，以研擬可操作性水庫保育治理方針，供辦理水庫集水區保育事業參考。

英文摘要

This paper utilizes historical satellite imagery data combined with remote sensing technology to identify landslide-prone hotspots in Shih-men reservoir watershed. Furthermore, Internet of Things monitoring technology is adopted to establish the sediment monitoring stations for tracking the sediment transport. The network of sediment monitoring stations in the Shih-men reservoir watershed can allow observations of sediment changes in river section with high turbidity, The measured data can be used to instantly evaluate the status of sediment transport, identify the distribution of sediment budgets for various typhoon events and evaluate the amount of sediment that is flushed into the reservoir. Accordingly, based on the results, feasible reservoir conservation and management policies are proposed which can serve as a reference for reservoir management.

英文篇名

Computer Vision-Based Displacement Monitoring System with Long-Distance and Non-Contact Measurement

作者

陳毅輝、蔡鎮丞、楊睿家

關鍵字

電腦視覺、大規模崩塌、地表變位監測

摘要

崩塌地二次致災風險之即時監測且以非接觸式地表變位量監測是目前防災監測領域重要的課題之一，本計畫運用人工智慧電腦視覺技術之影像辨識功能監測崩塌地坡面變位量，應用微電腦與數位相機、望遠鏡頭與LED立體覘標，創新研發電腦視覺式變位監測系統。透過室內試驗以及現地安裝測試與分析本儀器三軸量測覘標影像像素標準差，其X軸向為0.05像素、Y軸向為0.04像素、Z軸向為0.06像素，計算三軸解析度在X軸向為0.009公分、Y軸向為0.004公分、Z軸向為0.07公分，另試驗最遠量測距離可達1000公尺。在現地試驗以九份二山大規模崩塌區域進行長期地表變位監測，利用太陽能式LED立體覘標以及安裝電腦視覺式變位監測儀器於太陽能供電之監測小屋，24小時監測崩塌地的地表變形變位趨勢。本儀器之微電腦系統以每秒偵測4張影像辨識功能，紀錄三軸相對變位與影像資料並使用5G無線網卡每10分鐘傳送監測數據與影像照片，透過雲端物聯網架構即時動態圖表展示現地監測成果，建立AIoT功能且具經濟效益之電腦視覺式地表變位即時監測物聯網系統。

英文摘要

For landslide monitoring (especially to reduce the risk of secondary disaster), non-contact monitoring devices for ground movement is a new important topic. This study used a computer vision-based instrument, composed of microcomputers and digital cameras, to detect the ground displacement of the slope in the landslide area. In order to verify the feasibility of the instrument, this study undertook indoor and field tests to analyze its resolution and measurement errors. Based on the analysis results, the standard deviations for the three-axis measurement were 0.05 (X-axis), 0.04 (Y-axis), and 0.06 (Z-axis) in pixel, respectively, while the resolutions were 0.009, 0.004 and 0.07 cm for the X-, Y-, and Z-axes, respectively. Meanwhile, the longest distance measured was up to 1000 meters. The instrument was set up in the Jiufengersha large-scale landslide area for 24-hour monitoring of the ground movement. The equipment included an innovative solar-powered LED surveying chessboard, a computer vision-based device and a solar monitoring hut. This monitoring system could detect 4 frames of images for every 1 second which could then record the relative displacement for the three axes and photo images. In this study, a 5G wireless network was used to transmit the monitoring data and the photos for every 10 minutes. The real-time dynamic figures can be displayed through the cloud framework. This study demonstrated that the computer vision-based displacement monitoring system with AIoT is cost-effectiveness and able to perform real-time monitoring of ground displacement.

英文篇名

Integrating IoT Technology into Slope Retaining Wall Monitoring and Warning System

作者

周仕勳、張文忠、張弘杰

關鍵字

邊坡擋土支撐、穩定性分析、物聯網、即時監測與預警

摘要

本研究以自主研發的物聯網感測模組為基礎，結合水力力學耦合和土壤結構互制的數值分析，以網頁型式即時呈現邊坡相關監測值與預警燈號於雲端中，相對於傳統監測方式，在能耗、成本、便利性、即時性和人力資源方面皆有明顯優勢。擋土系統的邊坡穩定性分析基於嚴謹力學，同時考慮地下水位和降雨入滲對邊坡的影響，分析場址在不同條件下的水力反應，成果作為邊坡操作預警值訂定依據。在考量力學、場址特性與物聯網雲端技術的預警架構下，可提高預警系統的精確性與可靠性，研究成果可作為新一代公路邊坡即時監測預警架構之參據。

英文摘要

This study develops an IoT-based slope monitoring system, which integrates hydromechanics and soil-structure analysis tools. Real-time monitoring data and warnings are presented on a cloud platform, offering advantages in energy efficiency, cost, convenience, and accuracy over traditional methods. Rigorous numerical analyses are performed to evaluate the slope stability, which consider factors like groundwater condition and rainfall infiltration. Hydro-mechanical analyses are also coupled to investigate the slope response to various conditions. Customized warning indicators are formulated based on the simulation results. This study demonstrates that integrating rigorous mechanics and site-specific considerations can enhance system reliability, while IoT cloud technology advances the development of a new real-time slope monitoring and warning framework.

英文篇名

Case Study on Application of IoT and Cloud Technology Safety Monitoring of Special Geotechnical Construction

作者

何金益、黃慧仁、陳聰海、陳正勳、蕭秋安

關鍵字

安全監測、近接施工、雲端技術、物聯網

摘要

對於特殊地工問題，例如近接既有結構物施工及大範圍開挖等，為確保施工中既有設施之營運安全及服務品質，需仰賴各種監測儀器進行安全監測。隨著監測技術日益進步，可藉由長時間之即時監測大幅降低風險。本文以桃園國際機場第三航站區施工期間之桃園捷運機場段安全監測實際案例，說明監測儀器規劃，並應用物聯網及雲端技術達到長期監測數據即時處理傳遞之成效，成果提供現場施工反應作為。龐大的長期監測資料亦可以回饋至設計及施工，以歸納大範圍開挖對於既有結構之主要影響因素，用以預測未來施工行為可能造成的影響，以提前因應。

英文摘要

In order to ensure the operational safety and service quality of existing construction, especially when dealing with special geotechnical problems, such as large-scale excavations and construction at sites with neighboring constructions, various monitoring instruments should be used. With the advancement of monitoring technology, risks can be significantly reduced through long-term real-time monitoring. This article presents a case study of the construction-safety monitoring for the Airport MRT during the construction of Taoyuan Airport Terminal 3. The monitoring instrumentation planning, the application of Internet of Things and the cloud technology to achieve the real-time processing and transmission of long-term monitoring data are described. The entire monitoring system can provide the on-site engineers with appropriate response strategies. The huge amount of long-term monitoring data can serve as important feedbacks to the on-going construction and allow design modifications if needed. For the case of large-scale excavation, the monitoring data can also provide insights on the main influencing factors of the large-scale excavation on existing structures, which can help formulate response strategy in advance if needed.

作者

鐘志忠、曾得瑋、陳柏齊、李芸慈

關鍵字

坡地、攝影測量、熱影像、機器學習

摘要

臺灣位於板塊交界，其山勢高峻，加上副熱帶季風帶的豐富水氣使得降雨量豐沛，使具風險的坡地又變得更加不穩定，若能以安全性高、安裝成本低、機動性高的數位攝影測量方式，長時間地對山坡地進行監測，可以有效地確保山坡地的穩定性。攝影測量為近幾年來較新興的一門技術，透過相片捕捉到影像進行影像分析，成本不但更低且可實現自動化物聯網的資訊傳遞，同時減少人力與金錢資源的浪費。因此本研究擬使用近景攝影測量的方式，分別對影像進行2維與3維影像資料分析。此外，利用判定紅外線溫度的儀器，將物體內能量轉化為可見光影像的一種技術，透過特殊透鏡將輻射能聚焦於感測器上，而感測器再將輻射能轉化為電子訊號以灰階或是可見光影像呈現。透過灰階或可見光譜可以使觀察者簡易判斷觀測體的溫差變化。本研究同步將熱影像的溫度資訊套疊至光學影像上進行邊坡資訊的分析，建立一套利用光學以及熱影像的現地攝影機，透過光學系統進行立體點雲的建置以及影像的位移分析，並配合熱影像進行不穩定區域的追蹤，並嘗試加入人工智慧AI判釋協助。目前試驗成果顯示本研發系統與立體點雲分析流程準確度可達公分級，而AI移動判釋也可有效於現場(南雅里)進行實務岩坡穩定監測。

英文摘要

Taiwan is situated at the boundary of various tectonic plates and characterized by its elevated mountainous topography. Taiwan has inherent slope instability problem which is exacerbated by the copious rainfall from the moisture-laden subtropical monsoon zone. Photogrammetry is a contemporary technological innovation garnering widespread adoption across diverse domains. Due to moderate installation expenses, heightened security and portability, digital photogrammetry is able to systematically capture and oversee hillside conditions over a prolonged duration. Image analysis can be efficiently performed on the digital imagery data. Digital photogrammetry also furnishes a cost-efficient mechanism for relaying data through automated Internet of Things (IoT) systems, which results in curtailing reliance on human intervention and financial resources. In this study, close-range photogrammetry is used to comprehensively analyze two-dimensional (2D) and three-dimensional (3D) image data. Moreover, thermal imaging is used for rapid assessment of temperature differentials in observed objects. By amalgamating temperature insights derived from thermal imagery with optical images, slope characteristics can be dissected. This study focuses on developing on-site cameras equipped with dual optical and thermal imaging capabilities, and constructing a three-dimensional point cloud based on the optical systems. The entire system aims to scrutinize the optical imagery data to get slope displacements and to use thermal data to track precarious zones. Furthermore, this research explores the potential of AI-driven interpretation in augmenting the aforementioned photogrammetric technologies. Laboratory simulations and preliminary field tests reveal that the proposed system and the interpretative techniques are feasible for slope monitoring.

作者

謝志龍、林大鈞

關鍵字

即時監測、低功耗廣域網路、NB-IoT、LoRa

摘要

LPWAN(Low-Power Wide-Area Network)低功耗廣域網路，其「長距離無線通訊、低頻寬傳輸需求及低功耗表現」的連網技術特色，解決早期大地工程自動化監測系統在建置上對於電源取得困難、儀器訊號線路維護不易及資料即時性的問題，本文探討Sigfox、LoRa(Long Range)、LTE-M(LTE-Machine-to-Machine)及NB-IoT(Narrow Band Internet of Things)等4種LPWAN技術特性，並透過建築工程、水庫工程及邊坡工程等5個實際建置案例，評估LPWAN物聯網即時監測其在傳輸距離、功耗表現及成本表現都相對優於傳統自動化監測，現今LPWAN物聯網即時監測已成為大地工程監測的主流技術，然LPWAN技術因傳輸速率之限制，目前尚無法運用於地震預警波形記錄及橋梁載重試驗等動態量測工作

英文摘要

LPWAN (Low-Power Wide-Area Network), with its characteristics of "long-range wireless communication, low bandwidth requirements, and low power consumption," addresses challenges faced by early geotechnical engineering automation monitoring systems during deployment, such as difficulties in obtaining power, maintenance issues with instrument signal cables, and the need for real-time data. This paper explores the characteristics of four LPWAN technologies, including Sigfox, LoRa (Long Range), LTE-M(LTE-Machine-to-Machine), and NB-IoT (Narrow Band Internet of Things). Through the analysis of five practical implementation cases in construction engineering, reservoir engineering, slope engineering, etc., the study evaluates the real-time monitoring performance of LPWAN IoT in terms of transmission distance, power consumption, and cost-effectiveness. The results indicate that LPWAN IoT real-time monitoring exhibits relative advantages over traditional automated monitoring systems in these aspects. At present, LPWAN IoT real-time monitoring has become the mainstream technology for geotechnical engineering monitoring. However, due to limitations in the transmission speed of LPWAN technology, it is currently not feasible for dynamic measurements such as seismic warning waveform recording and bridge loading tests.

英文篇名

Developing the Slope Failure Warning System along the Taipingshan Mountain Railway Using IoT

作者

陳俊吉、吳建宏、梅家華、陳弘宇

關鍵字

山地軌道、防災預警、物聯網、影像辨識

摘要

太平山林場歷年伐木運材作業，現僅存太平山至茂興車站間保留山地運材軌道，轉作載運遊客使用，為太平山國家森林遊樂區機械遊樂亮點。山地軌道因多緊鄰自然邊坡，偶有落石或危倒木入侵軌道影響列車運行安全，為提昇山地軌道之營運安全，藉由資料蒐集與既有圖資分析，判釋圈繪高災害潛勢路段，建置接觸式警示系統、非接觸式警示系統、LED警示牌面與CCTV監視系統，而感應器與主控站間資訊以IoT物聯網傳輸，主控站再利用4G LTE網路上傳資訊。本研究2022年之實際運作成果顯示，運用物聯網技術於山地軌道邊坡防災預警，確實具備良好成效；然而考量傳統警示系統於山地區地形所遭遇之限制，於高致災潛勢路段可改設置具AIoT辨識功能之CCTV，並搭配LED警示牌、物聯網通訊系統、太陽能電力系統與雲端管理網頁，以改善山地軌道之行車安全。

英文摘要

Taipingshan Forest Farm was famous for its lumbering and transportation operations in the past. In recent years, the timber transportation railway track between Taipingshan and Maohsing Station has been preserved and converted to a track for carrying tourists. Because most of the mountain railways are close to natural slopes, falling rocks and fallen trees can threaten the safety of the train operation. To improve the operational safety of mountain railroad, literature review and analysis of existing data were performed in this study to identify the railway sections with high vulnerability of slope failure. In addition, contact and non-contact warning systems were developed by using LED warning signs and CCTV monitoring devices. Sensors were connected to the main control station using IoT, while the main control station would upload the data using the 4G LTE network. Based on the operational outcomes in 2022, the new monitoring system demonstrated practical applicability in the alpine forest environment as the warning system to the forest railway slope failure. To ensure the safety of the railway operation, the system can be upgraded to include CCTV with AIOT identification, LED warning signs, electrical supply with solar energy, and cloud management web page.

英文篇名

Application of 3D Numerical Method to Evaluate the Island Excavation Method in Loose Ground

作者

高世鍊、林進生、郭錫卿

關鍵字

島式開挖工法、三維數值分析、軟弱地盤

摘要

臺北表演藝術中心位於臺北市土林區基隆河舊河道內，地層主要為抽砂回填之鬆散砂性土層，地下室開挖範圍約1.2公頃，中央區開挖深度為10.9m，周邊區則為8.0m。擋土結構採用連續壁配合不同長度之內、外扶壁，以及與外扶壁連結之水平加勁版同時做為擋土結構系統。地下室開施工挖採用島式開挖工法，開挖區域四周預留土堤並輔以型鋼斜支撐，由於地盤相當軟弱，為增加周邊預留土堤之穩定，並減少開挖造成之擋土壁變形，於開挖區內四周以地盤改良方式增加施做內扶壁。由於力學機制複雜，設計時輔以三維數值方法模擬分析擋土壁之變形及應力分布，並做為設計檢核及研擬監測管理值之參考。開挖施工後發現實際量測擋土壁變形較三維數值分析預測值為小。

英文摘要

Taipei Performing Arts Center is located at old Keelung River course, which is in the Shilin District of Taipei City. The subsoil stratum of the site is mainly composed of backfill originated from the dredged loose sand from the Keelung River. An area of more than 12,000 m2 was excavated to a depth of 10.9 meters at center, and to a depth of 8 meters along the side area, respectively. Several diaphragm walls with different types of buttresses were constructed as the retaining structures. The island excavation method was adopted. Earth berms with steel bracings and horizontal reinforced slabs were used as the bracing system to maintain the stability of the opening during the excavation. In order to reduce the deformations of the diaphragm walls, the soil-cement mix buttress was adopted. A 3-D geotechnical numerical simulation was performed to model different stages of the excavation. The deformations of the retaining system were predicted based on the numerical simulations. In reality, the excavation was completed safely. The actual maximum deformations of the diaphragm walls measured during the construction were found to be smaller than the predicted values.

英文篇名

Monitoring Analysis the Effectiveness of Catch Pits and Simulation Test

作者

易大成、鄭清江、陳智誠

關鍵字

邊坡監測分析、shape accel array(SAA)、集水井

摘要

本文進行監測分析與模擬試驗，比對集水井施作前後之數據，了解集水井的影響與成效。並搭配模擬試驗的集水井模型，模擬坡地在有無施作集水井之差異性。結果顯示，在集水井施作後常時水面深度下降約10m，相同降雨量的情況下，地下水上升量減少且回復至常時水面深度的時間減少；使坡地位移的雨量門檻增加70%；模擬試驗結果為集水井設施在降雨較小的情況下的功用較小，在強降雨的情況下，集水井在排降水位、減緩入滲速度等功用上成效較顯著。最後，校核驗證坡地可能位移量與實際位移數值比較甚為接近。建議本案例坡地之雨量警戒值作為坡地管理之參考。

英文摘要

To evaluate the effectiveness of the catch pits, the slope displacement and groundwater condition before and after the construction of the catch pits are compared through analyses of monitoring data and numerical simulations. The results show that the groundwater level drops by about 10m after the installation of the catch pits. In addition, the rainfall threshold for the rise in groundwater level increases and the time required for the groundwater to return to the normal level decreases. These impacts have led to an increase in the rainfall threshold value (by at least 70%) for causing the slope displacement. On the other hand, the simulation results reveal that the influence of catch pits is more distinct for the case of heavy rainfall (compared to the case of drizzle), as the groundwater can be effectively drained and the infiltration rate is significantly lowered. Moreover, the rainfall-induced slope displacement as predicted by the simulations is very close to the actual displacement. In this study, the rainfall threshold values for different displacement levels of Ta-lun slope land are developed which can serve as references for subsequent slope management.

作者

張正憲、江承家

摘要

作者

曾孝欽、謝政育

摘要

作者

曾孝欽、佘巧妤

摘要

阿里山林業鐵路(簡稱阿里山林鐵)為世界聞名高山鐵路之一，具備著重要之文化意義與保存價值，2009年莫拉克颱風重創林鐵，因沿線多處地質災害以致尚有部分路段至今仍無法營運。阿里山林鐵及文資處持續辦理修復工程，如今42號隧道為復建最後一哩。沿線另有二座重建車站，包括木構建築的神木車站、以及鋼構建築的祝山車站，各具特色並深具豐富文化底蘊。
阿里山公路與林鐵工程地質研討活動於2023年6月29日~7月1日舉辦，由陽明交通大學廖志中教授擔任領隊，行程規劃包含座談會、林鐵與崩塌地整治工程參訪等，同時邀請林鐵處沈宜慶課長、兆豐公司陳婷技師、國家地震中心黃有志副研究員進行專題分享；另邀請利德公司汪世輝主任、蕭富元博士、黎明工程邱子軒技師協助解說42號隧道工程，嘉義林管處陳新發課長解說二萬坪整治工程，沈明信技師解說神木車站暨週邊整治工程，大將作公司葉慶書特助解說祝山車站重建工程等，活動內容十分豐富精彩。