Semantic Complex Event Detection System of Express Delivery Business with Data Support from Multidimensional Space

Abstract

The express delivery industry of China is relatively backward in the automation degree of critical business processes. The basic reason is that the business-related supporting data, which is scattered in the multidimensional space, is difficult to utilize and process. This paper proposes an automatic data acquisition framework to resolve such difficulty, which synthetically utilize intelligent inernet of things (IoT), semantic web and complext event processing (CEP) technology. We also implement a SCEP prototype system with the capability of real-time detecting complex business events on the goods sorting line, which adopts a detection method consisting of four stages. The simulation results show that the system has good performance and feasible enough to deal with the complex business which need data support from multidimensional space.