GSM Information Collection Design of Logistics Information System Based on Internet of Things

2013 ◽  
Vol 765-767 ◽  
pp. 1387-1391
Author(s):  
Xing Zhi Lin

On the analysis of logistics information collecting techniques (including the Unified Information System, The Internet Of Things, Global System for Mobile Communication ), the paper puts forward solutions and innovative ways to operate the system based on Unified Information System (UIS) in The Internet Of Things (IOT). GSM information collection, which is based on the UIS, has integrated the technologies of Radio Frequency Identification (RFID), GSM, and Computer Telecommunication Integration (CTI). With the unique characteristics of business processes of UIS and IOT, the systematic design has carried out the technical construction and interactive system design on the brandboard adjustment program of GSM information collection model, the anti-collision technique as well as Network Communication Program of GMS model controlled by AT command. This design has realized the exchange between the logistics information collection and processing and GSM network by the way of adopting the TC35i Single Chip Processor Control System, as a result, it has formed the distributed link for the logistics information system, and identified the feasibility of GSM information collecting system applied in this system.

2013 ◽  
Vol 765-767 ◽  
pp. 1181-1185 ◽  
Author(s):  
Xing Zhi Lin

The paper focuses on the intelligent logistics pallet, networking, traceability information technology and unified logistics information system, and puts forward unified traceability information system of intelligent logistics pallet based on the Internet of things (IOT), displaying innovative system realization method and technical system. IOT intelligent logistic pallet traceability system is an integrated fusion application of RFID, GIS, GPS, computer telecommunication integration together with Internet technology; in system design and implementation, TOT and RFID coupling mechanism, CTI and API interface programming are adopted for construction of three intelligent system service architecture of logistics pallet traceability system including application, business and physics; in the logistics pallet regular operation, reading and writing RFID equipments, labels and telecommunications network, Internet, and other unified information communication mode are fused into the intelligent logistics information system, so as to realize the intelligent logistics pallet identity identification and traceability function. The system test output results indicate that, intelligent logistics pallet unified information system is equipped with intelligent recognition, management and tracing function and business process reengineering capacity including production promotion, distribution, transport logistics and allocation.


2021 ◽  
Vol 16 (2) ◽  
pp. 143-152
Author(s):  
Muhammad Rifqi Ma'arif ◽  
Andika Bayu Saputra

Era Industri 4.0 sangat dipengaruhi oleh perkembangan teknologi informasi khususnya teknologi big data dan internet of things. Dua teknologi tersebut membangun sebuah paradigma baru yang disebut dengan Cyber-Physical System (CPS). CPS didefinsikan sebagai interkoneksi antara lingkungan fisik dengan program komputer melalui teknologi sensor/ IoT. Penerapan CPS di berbagai bidang bisnis/ industri akan semakin memperkuat nilai bisnis yang ditawarkan kepada customer. Salah satu bidang industri yang akan mengalami peningkatan signifikan dengan penerapan CPS adalah bidang logistik. Pengembangan Sistem Informasi Logistik dengan pengimplementasian konsep CPS akan memberikan nilai tambah bagi sektor logistik secara keseluruhan. Untuk mewujudkan hal tersebut, diperlukan sebuah studi konspetual bagaimana teknologi big data dan internet of things dapat diimplementasikan dalam sistem logistik. Sehingga, dalam penelitian ini, akan dikembangkan suatu rancangan arsitektur Sistem Informasi Logistik berbasis teknologi big data dan IoT untuk mendukung penerapan CPS dalam bidang logistik. AbstractThe era of Industry 4.0 is strongly influenced by information technology developments, especially big data technology and the internet of things. The two technologies build a new paradigm called Cyber-Physical System (CPS). CPS is defined as the interconnection between the physical environment and computer programs through sensor / IoT technology. The application of CPS in various business / industry fields will further strengthen the business value offered to customers. One of the industrial fields that will experience a significant increase with CPS's application is the field of logistics. The development of the Logistics Information System by implementing the CPS concept will provide added value to the Logistics sector as a whole. To make this happen, we need a conceptual study of how big data technology and the internet of things can be implemented in the logistics system. Therefore, in this study, a Logistics Information System architecture design will be developed based on big data and IoT technology to support CPS's application in logistics.Keywords: Logistic Information Systems; Cyber-Physical System; big data; internet of things


2018 ◽  
Vol 3 (1) ◽  
pp. 22-32 ◽  
Author(s):  
Ernest Ezema ◽  
Azizol Abdullah ◽  
Nor Fazlida Binti Mohd

The concept of the Internet of Things (IoT) has evolved over time. The introduction of the Internet of Things and Services into the manufacturing environment has ushered in a fourth industrial revolution: Industry 4.0. It is no doubt that the world is undergoing constant transformations that somehow change the trajectory and history of humanity. We can illustrate this with the first and second industrial revolutions and the information revolution. IoT is a paradigm based on the internet that comprises many interconnected technologies like RFID (Radio Frequency Identification) and WSAN (Wireless Sensor and Actor Networks) to exchange information. The current needs for better control, monitoring and management in many areas, and the ongoing research in this field, have originated the appearance and creation of multiple systems like smart-home, smart-city and smart-grid. The IoT services can have centralized or distributed architecture. The centralized approach provides is where central entities acquire, process, and provide information while the distributed architectures, is where entities at the edge of the network exchange information and collaborate with each other in a dynamic way. To understand the two approaches, it is necessary to know its advantages and disadvantages especially in terms of security and privacy issues. This paper shows that the distributed approach has various challenges that need to be solved. But also, various interesting properties and strengths. In this paper we present the main research challenges and the existing solutions in the field of IoT security, identifying open issues, the industrial revolution and suggesting some hints for future research.


Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2417
Author(s):  
Andrzej Michalski ◽  
Zbigniew Watral

This article presents the problems of powering wireless sensor networks operating in the structures of the Internet of Things (IoT). This issue was discussed on the example of a universal end node in IoT technology containing RFID (Radio Frequency Identification) tags. The basic methods of signal transmission in these types of networks are discussed and their impact on the basic requirements such as range, transmission speed, low energy consumption, and the maximum number of devices that can simultaneously operate in the network. The issue of low power consumption of devices used in IoT solutions is one of the main research objects. The analysis of possible communication protocols has shown that there is a possibility of effective optimization in this area. The wide range of power sources available on the market, used in nodes of wireless sensor networks, was compared. The alternative possibilities of powering the network nodes from Energy Harvesting (EH) generators are presented.


2015 ◽  
Vol 9 (1) ◽  
pp. 256-261 ◽  
Author(s):  
Aiyu Hao ◽  
Ling Wang

At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices lack mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical devices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop toward mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspection with the terminal device in a timely manner.


2021 ◽  
pp. 1-10
Author(s):  
Jintao Tang ◽  
Lvqing Yang ◽  
Jiangsheng Zhao ◽  
Yishu Qiu ◽  
Yihui Deng

With the development of the Internet of Things and Radio Frequency Identification (RFID), indoor positioning technology as an important part of positioning technology, has been attracting much attention in recent years. In order to solve the problems of low precision, high cost and signal collision between readers, a new indoor positioning algorithm based on a single RFID reader combined with a Double-order Gated Recurrent Unit (GRU) are proposed in this paper. Firstly, the reader is moved along the specified direction to collect the sequential tag data. Then, the tag’s coordinate is taken as the target value to train models and compare them with existing algorithms. Finally, the best Gated Recurrent Unit positioning model is used to estimate the position of the tags. Experiment results show that the proposed algorithm can effectively improve positioning accuracy, reduce the number of readers, cut down the cost and eliminate the collisions of reader signals.


2021 ◽  
Author(s):  
Mohamad Oubai Al-Rejleh

The Internet of Things (IoT) is a revolutionary concept that emerged in the late 21st century, whereby everyday objects such as household items, cars, and wearables, equipped with sensors and (Radio Frequency Identification) RFID chips, can communicate with the internet and to their physical surroundings. These chips allow the connected items to share information, and allow the user to collect information about his/her “quantified self”, measuring personal data such as habits of usage, lifestyle, and location through internet networks. IoT enabled devices are designed to collect, store, share, and analyze of highly personal data ubiquitously and in real time. However, with this new affordance of connectivity, comes a potential loss of privacy for users, as ever increasing sets of personal data are collected and tracked. As such, there is a pressing need for privacy considerations to be embedded within the early stages of design of connected devices and networks.


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