为了实现施工中路面坡度的快速便携式检测,提出了一种基于加速度传感器的便携式坡度快速检测仪方案,该方案利用安装在测试设备上的高精度三轴加速度传感器,分别测量x、y、z这3个方向上的加速度值,在只受重力的静态条件下,利用重力矢量在加速度三轴的矢量投影建立数学模型,解算出坡度倾角测量解算模型,并进一步探究了基于加速度传感器技术的重力模型解析,对相关的误差分析、传感器失调及传感器灵敏度进行了简要分析,并基于以上原理设计了以CortexTM-M3的ARM为核心的坡度便携式检测仪硬件系统,给出了设计中相关硬件框图及数据核心处理算法。研究结果表明:该系统测角精度优于30′,检测时间不大于0.3s,并且可以进行数据的自动存储和人机交互,能够满足工程实际中对高速公路与城市道路横坡、挡土墙坡度等几何参数进行高精度、自动化检测的需求。 In order to realize the rapid and portable detection of road surface gradient in construction, a portable gradient detection device based on accelerometer is proposed, which uses x-axis, y-axis and z-axis acceleration sensors mounted on the test equipment to measure x, y, z The acceleration values ​​in the three directions are obtained. Under the static condition of gravity only, a mathematical model is established by using the vectorial projection of the gravity vector on the three axes of acceleration to solve the slope inclination measurement and calculation model, and further to explore the gravity based on the acceleration sensor technology Model analysis, the related error analysis, sensor imbalance and sensor sensitivity were briefly analyzed. Based on the above principle, a hardware system of gradient portable detector based on ARM CortexTM-M3 was designed. The related hardware block diagram and Data core processing algorithms. The results show that the accuracy of this system is better than 30 'and the detection time is no more than 0.3s. And the data can be automatically stored and man-machine interaction can meet the engineering requirements of highway and urban road slope, retaining wall Slope and other geometric parameters for high-precision, automated testing needs.