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水泥撒布车撒布宽度自动调节:精准施工的机械智慧
来源:https://www.sddhfjx.com/ 日期:2025-05-27

  在道路建养领域,水泥撒布车作为基层处理的关键设备,其撒布宽度的精准控制直接影响着施工质量与材料利用率。现代水泥撒布车通过集成传感器技术、智能控制系统与液压执行机构,实现了撒布宽度的自适应调节,标志着道路施工装备向智能化迈进的重大跨越。本文将深度解析这一技术体系的运行原理与创新价值。

  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、技术基石:三维感知网络构建

  1、 Technical cornerstone: Construction of 3D perception network

  水泥撒布车的自动调节系统建立在多维感知体系之上。车头部位安装的激光雷达以每秒120万点的采样频率,构建作业面的三维点云地图,精度可达±2cm。该雷达采用混合固态设计,水平视场角覆盖120度,垂直分辨率0.5度,可精准识别路肩边缘、排水沟等边界特征。

  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.

  在车身两侧,超声波传感器阵列以20cm间距布置,形成连续的障碍物检测带。每个传感器检测距离0.3-5米可调,响应时间小于30ms,有效防范作业过程中的意外碰撞。车尾摄像头搭载AI视觉识别模块,通过深度学习算法可区分水泥、沥青、植被等不同材质表面,为撒布宽度决策提供环境数据。

  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:机电液协同执行系统

  2、 Core component: Mechatronics hydraulic collaborative execution system

  撒布宽度调节机构由三级执行单元构成。主调节单元采用双作用液压油缸,缸径80mm,行程400mm,通过电液比例阀实现无级调速。油缸两端配置磁致伸缩位移传感器,位置反馈精度0.01mm,确保撒布盘开度调节的精准性。

  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.

  辅助调节机构包含两组电动推杆,分别控制撒布盘左右两侧的倾角。推杆行程150mm,最大推力5000N,可实现±15度的角度调节。在特殊工况下,如曲线段施工,该机构可配合主调节单元形成复合运动轨迹,确保边缘撒布质量。

  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.

  动力传输系统采用闭式液压回路设计,变量泵与马达组成容积调速系统,使撒布盘转速可在50-300rpm范围内无级调节。系统压力通过压力补偿阀稳定在16MPa,确保在不同负载条件下执行机构的动作稳定性。

  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、控制逻辑:多模态决策算法

  3、 Control Logic: Multimodal Decision Algorithm

  控制系统采用分层架构设计。感知层负责数据采集与预处理,决策层运行多模态融合算法,执行层实现精准动作控制。在典型作业场景中,系统工作流程如下:

  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:

  路径规划:根据激光雷达点云数据,生成作业路径规划图,识别出路肩、标线等边界要素。

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

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  宽度计算:结合车速信号(0-30km/h)、撒布量设定(1-5kg/㎡)和材料特性,通过模糊控制算法计算理论撒布宽度。

  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.

  实时修正:视觉识别模块持续监测实际撒布效果,当检测到边缘重叠或漏撒时,启动PID控制环进行动态修正。

  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.

  异常处理:当遇到障碍物或材质突变时,系统自动执行避让策略,同步记录异常点坐标供后续人工复核。

  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.

  在某高速公路养护项目中,该系统实现连续10公里作业的宽度偏差控制在±5cm以内,材料利用率提升至98%,较人工操作提高25个百分点。

  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、创新价值:施工效能的质变提升

  4、 Innovative value: qualitative improvement of construction efficiency

  自动调节技术的突破,带来三重效益提升:

  The breakthrough of automatic adjustment technology brings triple benefits:

  质量跃升:通过闭环控制消除人为误差,使撒布均匀性变异系数从15%降至5%以下,满足《公路沥青路面施工技术规范》对基层处理的高标准要求。

  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:单台设备日作业面积从6000㎡提升至12000㎡,设备利用率提高至85%,显著缩短工期。

  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.

  成本优化:减少15%的材料浪费,降低20%的返工率,全生命周期成本较传统设备降低30%。

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

  水泥撒布车撒布宽度的自动调节技术,是道路建养装备智能化的典型范式。通过构建三维感知网络、开发机电液协同执行系统、创新多模态决策算法,实现了从机械执行到智慧施工的跨越。这项技术不仅重塑了道路基层处理工艺,更标志着我国在道路施工装备领域达到了国际先进水平。随着数字孪生、5G通信等技术的融入,未来的水泥撒布车将向全流程自主作业迈进,持续推动道路建养行业的智能化转型。

  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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