Higher Education Institution

Functional acceptance test of the Comprehensive Training System for Intelligent Manufacturing in Discrete Industries V1.0

Software acceptance tests were conducted on the software components such as the intelligent production line manufacturing execution system V1.0 and the intelligent production line virtual debugging Platform V1.0 under the main equipment discrete industry intelligent manufacturing comprehensive training system. The testing work was carried out from the functional aspect. Through strict execution tests, including the initial test and regression test, a software acceptance test report was issued.

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Detailed analysis of the case

The intelligent production line virtual debugging platform is a software developed specifically for the physical hardware equipment of the comprehensive intelligent manufacturing training system (IFAE) in discrete industries. It simulates the assembly process of a contact switch, including common typical technological processes such as feeding, inspection, direction adjustment, assembly and sorting. Through the simulation of each workstation of IFAE, the process represented by the IFAE hardware entity was truly restored in the three-dimensional scene. It can support industrial Ethernet communication methods and directly establish connections with programmable logic controllers (PLCS), thereby achieving control over each workstation. By conducting practical training courses on this platform, students can not only become familiar with the process flow and basic operations of intelligent production lines, but also use it as a PLC logic programming trainer to provide students with various control scenarios.

The intelligent production line manufacturing execution system is designed for the comprehensive training system of intelligent manufacturing in discrete industries (IFAE). It can optimize the management of the entire production process from order placement to product completion through information transmission. Before IFAE production and processing, we can generate orders, monitor the production process in real time, and manage quality on the Web management platform through the MES system. When real-time events occur in production, MES can respond promptly, report them, and guide and handle them with the current accurate data. This rapid response to state changes enables MES to effectively guide the production operation process of IFAE, thereby not only enhancing the timely delivery capacity of IFAE and improving the material flow performance, but also increasing the production return rate.

The tested functions such as the intelligent production line manufacturing execution System V1.0 and the intelligent production line virtual debugging Platform V1.0 operate stably and normally, and the main business processing functions comply with the requirements of relevant technical documents. Testing work was carried out from a functional perspective. Through strict execution of tests, including initial tests and regression tests, a software acceptance test report was issued.


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