| Literature DB >> 36046075 |
Chang Wei1, Peng Wang2, Yiming Ma3, Ruoxi Li4.
Abstract
With the expansion of modern society, there has been a substantial increase in the number of structures with multiple stories. Skyscrapers are not only the dream of incredible architects that desire to command the sky, but they have also transformed and defined how we live in the modern day. Building walls, on the other hand, are constantly affected by acid rain, dust and mist, meteorites, and bird droppings since they are exposed for lengthy periods of time. Furthermore, the challenges of cleaning at great heights are becoming increasingly critical. Figuring out how to most efficiently maintain the outside surfaces of skyscrapers so as to extend their longevity, as well as their worth in urban contexts, is a major concern for the health and cleanliness of the public environment in modern cities. The creation of "smart cities" offers a huge opportunity to achieve this goal. A PLC control system for an intelligent cleaning robot was presented in this study, together with its wire design, control demands, hardware selection, and control system. Furthermore, it provided a design for a cleaning robot that would operate within the context of a smart city. A PLC system would be used in this design to detect the cleaning position and initiate automatic cleaning. The operation of the system revealed that the PLC-based intelligent cleaning robot control system has high dependability, strong operating efficiency features, and a high promotional value.Entities:
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Year: 2022 PMID: 36046075 PMCID: PMC9420639 DOI: 10.1155/2022/1602125
Source DB: PubMed Journal: J Environ Public Health ISSN: 1687-9805
Figure 1Table of cleaning robot types.
Figure 2Development of a façade cleaning robot by Leatu Robotics.
Figure 3Common materials used in building facades.
Figure 4Step-by-step diagram of the cleaning robot's work.
Figure 5Workflow diagram.
Figure 6System schematic.
Figure 7Basic configuration and performance diagrams of S7-22 series CPUs.
Figure 8EM235 parameters.
Figure 9Motor parameters.
Figure 10Brainstorming dispersion keywords.
Figure 11Sketch.
Figure 12Virtual modeling.
Figure 13The process of making a foam model.
Figure 14Physical model.
Figure 15Actual view.