Abstract
With the development of intelligent manufacturing industry, the management of tool data in machine tool processing is becoming more and more important. Due to the richness of machine tool data and the complexity of relationships in them, it’s hard for a traditional relational database to manage the tool data. Therefore, a new method should be proposed to manage these data in a better way. In this work, we propose a tool data modeling method based on the object deputy model, which utilizes the characteristics of the class and the objects to express the meaning of the tool data and the various semantic constraints on them. Unlike the traditional relational model, objects are connected with a two-way pointer in the object deputy model where an object can have one or more deputy objects that inherit the properties and methods of the source object, and the deputy objects can have their own properties and methods. Besides, the two-way pointer between the source class and its deputy class makes the cross-class query easier in two aspects: One is to make complex queries expressed in intuitive statements, and the other is to improve query efficiency. We implemented and evaluated our model on an object deputy database. Experiments show that our method is better than the traditional relational ones.
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Acknowledgement
This work is supported by the Key Research and Development Program of China (2016YFB1000701) and the key projects of the National Natural Science Foundation of China (No. U1811263).
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Luo, Q., Chen, C., Wang, S., Li, R., Peng, Y. (2020). Tool Data Modeling Method Based on an Object Deputy Model. In: Wang, X., Zhang, R., Lee, YK., Sun, L., Moon, YS. (eds) Web and Big Data. APWeb-WAIM 2020. Lecture Notes in Computer Science(), vol 12318. Springer, Cham. https://doi.org/10.1007/978-3-030-60290-1_37
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DOI: https://doi.org/10.1007/978-3-030-60290-1_37
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