With the rapid development of the manufacturing industry, the construction and maintenance of precision piston rods in factories are an indispensable part of enterprises. At present, the operation and maintenance level of many factories is relatively backward, and a considerable number of factories still use forms or standalone systems for management, which in some cases hinders the development speed of enterprises. Due to the inability to synchronize information in real-time, the status of the product is unclear, and the level of repair and maintenance is unclear. Its management and inspection are weak links in management, and it is difficult to provide accurate and timely feedback of its operation and maintenance information to enterprise managers, which greatly affects enterprise decision-making and in some cases leads to waste of product assets.
The precision piston rod management system, which is easy to move, provides limited management and patrol plans. With the help of cloud computing, smartphones, and piston rods, based on the four major functional modules of low code, data aggregation, visual analysis, and intelligent prediction, data and algorithms are used to help enterprises improve the availability of piston rods, predict product failures, and carry out preventive maintenance, reduce maintenance and procurement costs, and extend the service life of piston rods.
The Yi Dong system also supports the establishment of task modes for spot checks and patrols, ensuring the normal and effective conduct of spot checks and monitoring. The system implements the function of collecting and analyzing precision piston rod inspection data, notifying abnormal data, providing timely feedback on product fault information, and providing information prompts for maintenance personnel; Through effective inspection management, product stability and failure can be avoided, productivity can be improved, and operating and maintenance costs can be reduced.