Research of IOT Context-Aware Processing Framework Based on Complex Event for Supply Chain Application

2012 ◽  
Vol 263-266 ◽  
pp. 1677-1687 ◽  
Author(s):  
Jun Tao Li ◽  
Gang Lin ◽  
Xiao Lin Cheng
Keyword(s):  
Supply Chain ◽  
Contextual Information ◽  
Situation Model ◽  
Complex Event Processing ◽  
Event Processing ◽  
Context Aware ◽  
Supply Chain System ◽  
Flow Situation ◽  
Event Flow ◽  
Internet Of Things Technology

In order to solve the logic fault of Internet of things technology applied in the supply chain system, this paper presents a supply chain oriented context-aware Framework which is based on Complex Event Processing. The frame is subdivided into five levels and proposes an active event flow situation model based on Complex Event Processing. Besides, it can provide a semantic senior situation for the application of the upper layer through processing the uncertainty contextual information under the semantic rules, as a support for the top decision.

A Research on Complex Event Processing Technology Based on Smart Logistic System

2014 ◽  
Vol 722 ◽  
pp. 430-435
Author(s):  
Bin Bin Fu ◽  
Jie Zhu
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Information Transfer ◽  
Supply And Demand ◽  
Complex Event Processing ◽  
Processing Technology ◽  
Event Processing ◽  
Supply Chain System ◽  
Technology Application ◽  
Demand Prediction

With IOT technology developing and the cost reducing, Its application in supply chain is a matter of time. Smart logistic system is one of the IOT technology application in supply chain which solve difficult problems, such as acquisition underlying data, information transfer and so on. we need to achieve higher level application and solve more complex problems such as improving inventory management accuracy, reducing supply chain management cost, improving accuracy of supply and demand prediction, supply chain's rapidly react ability,these need to use complex event processing technology. It will introduce how to apply complex event processing technology to supply chain system based on IOT. By this way we can sort out valuable information by processing a large number of simple event.

PERCEPTUS: Predictive complex event processing and reasoning for IoT-enabled supply chain

2019 ◽  
Vol 180 ◽  
pp. 133-146 ◽  
Author(s):  
Falak Nawaz ◽  
Naeem Khalid Janjua ◽  
Omar Khadeer Hussain
Keyword(s):  
Supply Chain ◽  
Complex Event Processing ◽  
Event Processing

scholarly journals Intelligent Supply Chain Information System Based on Internet of Things Technology under Asymmetric Information

Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 656
Author(s):  
Yunshan Zhou ◽  
Xiangjun Xu
Keyword(s):  
Information System ◽  
Supply Chain ◽  
Asymmetric Information ◽  
Internet Of Things ◽  
Information Exchange ◽  
Interference Signal ◽  
Supply Chain System ◽  
Maximum Information ◽  
Chain System ◽  
Internet Of Things Technology

The hardware and software designed in the traditional supply chain system lack cooperation in the transmission process, have low efficiency, and lead to a large amount of information distortion.In response to this problem, this paper proposes an intelligent supply chain information system based on the Internet of Things technology. The research focuses on the hardware and software of the system. The hardware part consists of the embedded processor CS89712, Flash7861 memory, Ethernet, touch screen, and LCD (Liquid Crystal Display). The software system is based on asymmetric information theory design and is divided into signal acquisition, input signal detection, interference signal processing, and power signal output. The experimental results show that it is compared with the traditional supply chain information system. The designed system seamlessly integrates the hardware and software components to achieve maximum information supply in the shortest amount of time. The power supply capacity is four times that of the traditional system, and the node coverage is high. When the number of data nodes is 120, the traditional supply chain system is basically unable to supply, but the supply accuracy of the intelligent supply chain is still as high as 48%. The research in this paper has certain guiding significance for intelligent technology development, supply chain system design, and enterprise information exchange.

scholarly journals Evaluation of Agricultural Supply Chain Effects and Big Data Analysis Based on Internet of Things Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Qingjun Fang ◽  
Cai Su
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Imperfect Information ◽  
Agricultural Products ◽  
Agricultural Product ◽  
Supply Chain System ◽  
Logistics Market ◽  
Efficient Information ◽  
Internet Of Things Technology

Building an information-based rural economic supply chain is an effective way to implement the rural revitalization strategy. The construction of China’s agricultural product logistics market is still very backward, mainly including imperfect information system and high cost of intermediate circulation links. How to optimize the supply chain of agricultural products, ensure the normal supply of agricultural products quality and quantity in the market, improve people’s living standards, and achieve the purpose of improving benefits is an important topic to be studied today. Aiming at the problems of traditional agricultural products supply chain, the application of Internet of Things technology in supply chain can be effectively solved. Therefore, this paper proposes the research on the environmental effect evaluation of rural economic supply chain based on Internet of Things technology and proposes to build a wireless sensor network for agricultural products for the collection and exchange of agricultural products information. At the same time, RFID (radio-frequency identification) electronic tags integrated with sensors are applied in other links of the supply chain. The experimental results show that the construction of the rural economic supply chain system based on Internet of Things technology can effectively optimize the rural economic supply chain, realize efficient information sharing, improve the quality of agricultural products, reduce the cost of each link of the supply chain, improve the competitiveness of rural supply chain, and promote the good development of rural agricultural products and rural economic supply chain environment.

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