A Supply Chain Information Pushing Method for Logistics Park Based on Internet of Things Technology

Abstract

The existing push methods of supply chain information in logistics parks stay on the analysis of data surface, which leads to higher Mae value. Therefore, this paper proposes a push method of supply chain information in logistics parks based on the Internet of Things technology. Firstly, RFID structure is designed by introducing RFID, GPS, infrared, and other Internet of Things technologies to encode the materials in the logistics warehouse; secondly, the supply chain model of the logistics park is established to obtain the general ontology element model of the node enterprises in the supply chain of the park and the interaction business situation model between the node enterprises in the supply chain of the park. Finally, the average value of the node score is subtracted from the score of the node to calculate the information centralized scoring, as well as the establishment of Spark operation framework, to achieve the logistics park supply chain information pushing. In the simulation experiment, the international land port logistics park of a city is selected as a case to test. The experimental results show that the information pushing method of logistics information park supply chain based on Internet of Things technology has higher recommendation accuracy and better performance.

Intelligent Analysis of Logistics Information Based on Dynamic Network Data

“…Liu, P. et al Built a more advanced machine learning method based on local weighted linear regression, logistic regression, K-means, linear support vector, Bayesian, independent variable analysis, and other methods by relying on the simple map/reduce programming model on multi-core processor [5]. Zhang Developed a cloud based information infrastructure for wide area high-performance networks [6], which is composed of Storage Cloud and computing cloud and can be used to support the implementation of data mining. In the cloud computing environment, JCLA, B. et al designed the corresponding distributed sequence mining algorithm based on Web usage mining technology to realize the mining of enterprise customer big data, so as to analyze and utilize customer information in all aspects [7].…”

Construction and Application of Comprehensive Nursing Information Service Platform Based on Internet of Things Technology

“…Jinkui found that the Bush administration's strategic plan to establish a National Health Information Network (NHIN) is intended to set up a common access model for medical and health information across regions and hospital systems in order to improve the safety of treatment and the overall efficiency of the healthcare system, thereby reducing medical costs [7]. Zhang found that in 2009, the American Association for Healthcare Information and Management divided the electronic medical records (Electronic Medical Records) into eight levels of implementation level, which is an important display and benchmarking project of hospital informatization in the United States [8]. Dong et al found that, the nation's largest e-health system (TeleHealth Network) was established in California, hence users will be able to connect to hundreds of hospitals and clinics across California through the Internet and get proper medical care.…”

Architecture, Technologies, and Applications of Location-Based Services

“…This special issue includes three papers on logistic applications which are listed as follows. ML methods [43], game theory [44], and internet of things (IoT) [45] were developed for logistic applications based on LBS. Detailed information of each article regarding logistic applications could be found in [43][44][45].…”