摘要：从技校英语教学的目的和任务型教学法理论出发,以"做客与待客"的实际教学案例为例,通过教学分析,探讨任务型教学法在技校英语语言教学中的应用,具有积极的现实意义。

摘要：随着工业自动化进程的不断推进,产品的尺寸形态检测成为提升制造业竞争力的核心环节。针对传统的接触式物体测量方法测量效率低、表面损伤大、适应性弱等问题,本文提出一种基于STM32F103C8T6单片机的非接触物体尺寸形态测量系统。该系统以MG996R舵机云台为运行载体,采用OpenMV4和VL53L1X激光测距传感器作为非接触检测单元,以实现测量目标物体颜色、形状、尺寸及距离等信息的功能,并将这些测量结果实时显示在OLED模块上。测试结果表明,该装置准确识别目标物体的颜色、形状的成功率为90%,得到的物体尺寸平均误差为0.16 cm、显示距离的平均误差为0.76 cm、激光笔指示中心与目标图形实际中心平均偏差为0.086 cm。该系统能够满足工业自动化检测的实际需求,为提升制造业的智能化水平提供了有效的技术支持。With the continuous advancement of industrial automation, dimensional and morphological measurement of products has become a critical factor in enhancing manufacturing competitiveness. To address the issues of low efficiency, surface damage, and poor adaptability associated with traditional contact-based measurement methods, this paper proposes a non-contact object dimension and morphology measurement system based on the STM32F103C8T6 microcontroller. The system takes the MG996R servo pan-tilt as its operating carrier and employs an OpenMV4 module along with a VL53L1X laser ranging sensor as the non-contact detection unit. It is capable of measuring information such as the color, shape, dimensions, and distance of target objects, with real-time results displayed on an OLED screen. Test results indicate that the device accurately identifies the color and shape of target objects with a success rate of 90%. The average error in object size measurement is 0.16 cm, the average error in the displayed distance is 0.76 cm, and the average deviation between the laser pointer center and the actual center of the target shape is 0.86 cm. This system effectively meets the practical requirements of industrial automation inspection, providing robust technical support for enhancing the intelligence level of the manufacturing industry.

摘要：现有的洗鞋机大多只能对鞋子的表面进行清洁,而鞋子内部直接与脚接触,汗液等直接残留在鞋中,因此鞋子内部的清洁也是十分重要的。针对此问题设计了一款新型洗鞋机,主要由机体外壳、风干机构、内刷机构、鞋架机构、外刷机构、上升机构、动力机构、杀菌机构、洗涤液加注机构以及内筒组成。该机器能够实现对鞋子内外清洗、风干和杀菌等一系列操作。