The cleaning of cement warehouse is a labor-intensive and high-risk operation. The applicability and cleaning effect of traditional work tools are poor. Therefore, most of the methods are manual cleaning, which is inefficient and prone to accidents. It is of great social significance and practical value to develop an intelligent flexible warehouse cleaning robot that replaces the manual cleaning of cement. When the top of the cement warehouse is small and the volume of the cement warehouse is very large, how to ensure that the working range of the cleaning system can cover the entire area, and effectively and quickly complete the cleaning operation, and the automatic control of the cleaning robot has become an automatic control. Key issues to be addressed. Although the human–machine interface configuration technology has been widely used in automated monitoring systems, its graphical and componentized interface construction methods and the flexibility and scalability of the configuration interface have been widely recognized, but the human–machine interface, the coding method is still used in the construction, the development efficiency is low, and the interface is not open and flexible enough. At the same time, there are few research attempts on interface configuration. Interface configuration mostly only stays in the graphical phase of interface construction. Data and interactive control cannot meet the configuration requirements, and there is no complete implementation plan for configuration. Therefore, it has become an urgent need to change the traditional interface development mode and realize the configuration of man–machine interface. Based on the above background, the research content of this article is the research on the automatic control system of intelligent flexible clearing robot. Based on the understanding of the relevant properties of cement powder, this article discusses its flow state in the cement storehouse theoretically and provides a basis for subsequent structural design and stability research. A modularized and component-based configuration method for the numerical control interface is proposed. The interface is divided into three modules: data, graphics, and interactive control. The functional modules are assembled and the components are combined to implement the interface configuration. The experimental simulation results in this article show that compared to the traditional method, the amount of code editing of the configured human–machine interface is reduced by 46.34%, the development cycle is shortened by 43.72%, and the development efficiency of the configured human–machine interface has been greatly improved. It is confirmed that the configuration technology studied in this article can meet the requirements of automatic control systems.

中文翻译：

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智能柔性清扫机器人自动化控制系统

水泥仓库的清理是一项劳动密集型、高风险的作业。传统作业工具的适用性和清洁效果较差。因此，大部分方法都是人工清洗，效率低下，容易发生事故。开发一种智能柔性仓库清洁机器人替代人工清洁水泥，具有重要的社会意义和实用价值。当水泥仓顶小而水泥仓容积很大时，如何保证清扫系统的工作范围能覆盖整个区域，有效快速地完成清扫作业，自动控制扫地机器人已成为自动控制。要解决的关键问题。虽然人机界面配置技术在自动化监控系统中得到了广泛的应用，其图形化、组件化的界面构建方法以及配置界面的灵活性和可扩展性已经得到广泛认可，但人机界面的编码方式仍然存在用于构建，开发效率低，接口不够开放灵活。同时，在接口配置方面的研究尝试也很少。界面配置大多只停留在界面构建的图形化阶段。数据和交互控制不能满足配置要求，没有完整的配置实施方案。所以，改变传统的界面开发模式，实现人机界面的配置已成为迫切需要。基于上述背景，本文的研究内容是智能柔性清扫机器人自动控制系统的研究。本文在了解水泥粉体相关性能的基础上，对其在水泥仓内的流动状态进行了理论探讨，为后续的结构设计和稳定性研究提供了依据。提出了一种模块化、基于组件的数控接口配置方法。界面分为数据、图形、交互控制三个模块。组装功能模块，组合组件，实现接口配置。本文实验仿真结果表明，与传统方法相比，配置人机界面的代码编辑量减少46.34%，开发周期缩短43.72%，配置人机界面的开发效率- 机器界面得到了很大的改进。证实本文研究的组态技术能够满足自动控制系统的要求。