在道路建養領域，水泥撒布車作為基層處理的關鍵設備，其撒布寬度的精準控制直接影響著施工質量與材料利用率。現代水泥撒布車通過集成傳感器技術、智能控制系統與液壓執行機構，實現了撒布寬度的自適應調節，標志著道路施工裝備向智能化邁進的重大跨越。本文將深度解析這一技術體系的運行原理與創新價值。

　　In the field of road construction and maintenance, cement spreader is a key equipment for grassroots treatment, and its precise control of spreading width directly affects the construction quality and material utilization rate. Modern cement spreading vehicles have achieved adaptive adjustment of spreading width through integrated sensor technology, intelligent control systems, and hydraulic actuators, marking a significant leap towards intelligent road construction equipment. This article will deeply analyze the operating principles and innovative value of this technological system.

　　一、技術基石：三維感知網絡構建

　　1、 Technical cornerstone: Construction of 3D perception network

　　水泥撒布車的自動調節系統建立在多維感知體系之上。車頭部位安裝的激光雷達以每秒120萬點的采樣頻率，構建作業面的三維點云地圖，精度可達±2cm。該雷達采用混合固態設計，水平視場角覆蓋120度，垂直分辨率0.5度，可精準識別路肩邊緣、排水溝等邊界特征。

　　The automatic adjustment system of the cement spreader is built on a multidimensional perception system. The laser radar installed at the front of the vehicle constructs a three-dimensional point cloud map of the working surface with an accuracy of ± 2cm at a sampling frequency of 1.2 million points per second. The radar adopts a hybrid solid-state design, with a horizontal field of view coverage of 120 degrees and a vertical resolution of 0.5 degrees, which can accurately identify boundary features such as shoulder edges and drainage ditches.

　　在車身兩側，超聲波傳感器陣列以20cm間距布置，形成連續的障礙物檢測帶。每個傳感器檢測距離0.3-5米可調，響應時間小于30ms，有效防范作業過程中的意外碰撞。車尾攝像頭搭載AI視覺識別模塊，通過深度學習算法可區分水泥、瀝青、植被等不同材質表面，為撒布寬度決策提供環境數據。

　　On both sides of the vehicle, ultrasonic sensor arrays are arranged at 20cm intervals to form a continuous obstacle detection belt. Each sensor has an adjustable detection distance of 0.3-5 meters and a response time of less than 30ms, effectively preventing accidental collisions during the operation process. The rear camera of the car is equipped with an AI visual recognition module, which can distinguish different material surfaces such as cement, asphalt, and vegetation through deep learning algorithms, providing environmental data for the decision-making of spreading width.

　　二、核心部件：機電液協同執行系統

　　2、 Core component: Mechatronics hydraulic collaborative execution system

　　撒布寬度調節機構由三級執行單元構成。主調節單元采用雙作用液壓油缸，缸徑80mm，行程400mm，通過電液比例閥實現無級調速。油缸兩端配置磁致伸縮位移傳感器，位置反饋精度0.01mm，確保撒布盤開度調節的精準性。

　　The spreading width adjustment mechanism consists of three levels of execution units. The main regulating unit adopts a double acting hydraulic cylinder with a cylinder diameter of 80mm and a stroke of 400mm, which achieves stepless speed regulation through an electro-hydraulic proportional valve. Magnetostrictive displacement sensors are installed at both ends of the oil cylinder, with a position feedback accuracy of 0.01mm, ensuring the accuracy of adjusting the opening of the spreading disc.

　　輔助調節機構包含兩組電動推桿，分別控制撒布盤左右兩側的傾角。推桿行程150mm，最大推力5000N，可實現±15度的角度調節。在特殊工況下，如曲線段施工，該機構可配合主調節單元形成復合運動軌跡，確保邊緣撒布質量。

　　The auxiliary adjustment mechanism includes two sets of electric push rods, which respectively control the inclination angle of the left and right sides of the spreading plate. The push rod has a stroke of 150mm, a maximum thrust of 5000N, and can achieve an angle adjustment of ± 15 degrees. In special working conditions, such as curved section construction, this mechanism can cooperate with the main adjustment unit to form a composite motion trajectory, ensuring the quality of edge spreading.

　　動力傳輸系統采用閉式液壓回路設計，變量泵與馬達組成容積調速系統，使撒布盤轉速可在50-300rpm范圍內無級調節。系統壓力通過壓力補償閥穩定在16MPa，確保在不同負載條件下執行機構的動作穩定性。

　　The power transmission system adopts a closed hydraulic circuit design, with a variable displacement pump and motor forming a volumetric speed regulation system, allowing the speed of the spreading plate to be infinitely adjusted within the range of 50-300rpm. The system pressure is stabilized at 16MPa through a pressure compensation valve to ensure the stability of the actuator under different load conditions.

　　三、控制邏輯：多模態決策算法

　　3、 Control Logic: Multimodal Decision Algorithm

　　控制系統采用分層架構設計。感知層負責數據采集與預處理，決策層運行多模態融合算法，執行層實現精準動作控制。在典型作業場景中，系統工作流程如下：

　　The control system adopts a layered architecture design. The perception layer is responsible for data collection and preprocessing, the decision-making layer runs multimodal fusion algorithms, and the execution layer achieves precise action control. In a typical homework scenario, the system workflow is as follows:

　　路徑規劃：根據激光雷達點云數據，生成作業路徑規劃圖，識別出路肩、標線等邊界要素。

　　Path planning: Based on LiDAR point cloud data, generate a job path planning map and identify boundary elements such as road shoulders and markings.

　　寬度計算：結合車速信號（0-30km/h）、撒布量設定（1-5kg/㎡）和材料特性，通過模糊控制算法計算理論撒布寬度。

　　Width calculation: Based on the vehicle speed signal (0-30km/h), the spreading amount setting (1-5kg/㎡), and material characteristics, the theoretical spreading width is calculated using fuzzy control algorithm.

　　實時修正：視覺識別模塊持續監測實際撒布效果，當檢測到邊緣重疊或漏撒時，啟動PID控制環進行動態修正。

　　Real time correction: The visual recognition module continuously monitors the actual spreading effect. When edge overlap or leakage is detected, the PID control loop is activated for dynamic correction.

　　異常處理：當遇到障礙物或材質突變時，系統自動執行避讓策略，同步記錄異常點坐標供后續人工復核。

　　Exception handling: When encountering obstacles or sudden material changes, the system automatically executes avoidance strategies and synchronously records the coordinates of the abnormal points for subsequent manual review.

　　在某高速公路養護項目中，該系統實現連續10公里作業的寬度偏差控制在±5cm以內，材料利用率提升至98%，較人工操作提高25個百分點。

　　In a certain highway maintenance project, the system achieved width deviation control within ± 5cm for continuous 10 kilometer operation, and the material utilization rate increased to 98%, which is 25 percentage points higher than manual operation.

　　四、創新價值：施工效能的質變提升

　　4、 Innovative value: qualitative improvement of construction efficiency

　　自動調節技術的突破，帶來三重效益提升：

　　The breakthrough of automatic adjustment technology brings triple benefits:

　　質量躍升：通過閉環控制消除人為誤差，使撒布均勻性變異系數從15%降至5%以下，滿足《公路瀝青路面施工技術規范》對基層處理的高標準要求。

　　Quality leap: By eliminating human errors through closed-loop control, the coefficient of variation of spreading uniformity has been reduced from 15% to below 5%, meeting the high standard requirements for base treatment in the "Technical Specification for Construction of Asphalt Pavement on Highways".

　　效率革命：單臺設備日作業面積從6000㎡提升至12000㎡，設備利用率提高至85%，顯著縮短工期。

　　Efficiency Revolution: The daily operating area of a single device has increased from 6000 square meters to 12000 square meters, and the equipment utilization rate has increased to 85%, significantly shortening the construction period.

　　成本優化：減少15%的材料浪費，降低20%的返工率，全生命周期成本較傳統設備降低30%。

　　Cost optimization: Reduce material waste by 15%, decrease rework rate by 20%, and lower lifecycle costs by 30% compared to traditional equipment.

　　水泥撒布車撒布寬度的自動調節技術，是道路建養裝備智能化的典型范式。通過構建三維感知網絡、開發機電液協同執行系統、創新多模態決策算法，實現了從機械執行到智慧施工的跨越。這項技術不僅重塑了道路基層處理工藝，更標志著我國在道路施工裝備領域達到了國際先進水平。隨著數字孿生、5G通信等技術的融入，未來的水泥撒布車將向全流程自主作業邁進，持續推動道路建養行業的智能化轉型。

　　The automatic adjustment technology of the spreading width of cement spreading vehicles is a typical paradigm of intelligent road construction and maintenance equipment. By constructing a three-dimensional perception network, developing an electromechanical hydraulic collaborative execution system, and innovating multimodal decision-making algorithms, a leap from mechanical execution to intelligent construction has been achieved. This technology not only reshapes the road base treatment process, but also marks that China has reached the international advanced level in the field of road construction equipment. With the integration of digital twins, 5G communication and other technologies, future cement spreading vehicles will move towards full process autonomous operation, continuously promoting the intelligent transformation of the road construction and maintenance industry.

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