Intelligent Traceability Research Articles

Application of New Technology in Education: Design and Implementation of Graduate Certificate Model Based on Intelligent Graph Element Technology

Modern information technology empowers education and infuses new vigor into educational innovation. However, current university diplomas are old-fashioned, not connected to information technology, and easy to copy. Two-dimensional code technology, widely popular in China because of its intuitive, simple, convenient, and other advantages, should be integrated into the field of education. Two-dimensional code technology is the advanced form of graphic code technology. However, through the analysis of the current situation of graphic code technology research and education applications including two-dimensional code, there are no actual cases of graphic code technology applied to graduation certificates, leaving a blank field of research. This is mainly due to the defects and limitations of the existing graphic code technology, so a new intelligent graph element technology (IGET) is proposed here. Intelligent graph element technology integrates the functional advantages of two-dimensional code and overcomes the issues of certificates being easy to forge and difficult to verify, by adding intuitive, discernible, and valuable new functions, suitable for the functional requirements of the graduation certificate. Based on intelligent graph element technology, a novel graduation certificate management system model is constructed here, and a graduation certificate is designed and implemented. Compared with the traditional graduation certificate, the graduation certificate based on intelligent graph elements has the advantages of being intuitive and readable, and having information security, a large amount of information, and intelligent anti-counterfeiting, verification, and traceability mechanisms. The application of intelligent graph element technology in the design and research of college graduation certificates opens a new window of digitization and informatization innovation for traditional college graduation certificates, and provides reference for other innovative applications of intelligent graph element technology in the field of education.

An intelligent traceability method of water pollution based on dynamic multi-mode optimization.

Drinking water safety is a safety issue that the whole society attaches great importance to currently. For sudden water pollution accidents, it is necessary to trace the water pollution source in real time to determine the pollution source’s characteristic information and provide technical support to emergency management departments for decision making. The problems of water pollution’s real-time traceability are as follows: non-uniqueness and dynamic real time of pollution sources. Aiming at these two difficulties, an intelligent traceability algorithm based on dynamic multi-mode optimization was designed and proposed in the work. As a multi-mode optimization problem, pollution traceability could have multiple similar optimal solutions. Firstly, the new algorithm divided the population reasonably through the optimal subpopulation division strategy, which made the nodes’ distribution in a single subpopulation more similar and conducive to local optimization. Then, a similar peak penalty strategy was used to eliminate similar solutions and reduce the non-unique solutions’ number, since real-time traceability required higher algorithm convergence than traditional offline traceability and dynamic problems with parameter changes, historical information preservation, and adaptive initialization strategies could make reasonable use of the algorithm’s historical knowledge to improve the population space and increase the population convergence rate when the problem changed. The experimental results showed the proposed new algorithm’s effectiveness in solving problems—accurately tracing the source of pollution, and obtain corresponding characteristic information in a short time.

Digital Media Image Recognition Method Based on Improved Fuzzy C-means Clustering Analysis

Digital media plays a more and more important role in people’s life. In recent years, as an important part of digital media, image is widely used. It has become a hot spot in image information processing to determine the similarity between images by calculating the perceptual hash. This paper mainly studies the intelligent traceability of digital image based on improved fuzzy c-means clustering analysis. This method can improve the information truth degree identification of data image, which can assist the development of data image information detection and recognition system based on improved fuzzy c-means clustering analysis. Firstly, this paper analyzes the value of image recognition technology in streaming media environment. For the current streaming media image recognition technology, the main application areas and demand state are described. Then, from the perspective of technology, several main technologies in this field are discussed, and the digital image technology of improving fuzzy c-means clustering analysis is analyzed and constructed. Experimental results show that the method can improve the efficiency and accuracy of digital media image recognition. This method has a certain reference value to promote the development of digital image analysis technology.

A traceability proposal for industry 4.0

This research examines traceability and its model in industry 4.0. Hence, this paper introduces the main design features of this model. The fourth industrial revolution is an environment that combines manufacturing with the Internet of Things and cyber-physical Systems. In such an environment, various sources (i.e., smart products, intelligent agents, and sensors) generate an increasing amount of data, which is essential for effective traceability. However, due to these heterogeneous sources, a traceability system should face the interoperability challenge and overcome the data integration issue. Moreover, the incorporation of this information in a traceability tool is motivated by the requirement to have access to a maximum amount of accurate product data. Thus, this article proposes to take advantage of industry 4.0 information. Also, the present study advocates that traceability should not only allow trace and track but also ensure product safety and quality. Accordingly, the proposal includes an intelligent traceability description, an ontology-based modeling, and a cloud-based application. This system provides users with a common knowledge base to access and represent data. Also, this model enables users to share and query remotely the traceable information using the cloud.

Application of Intelligent Traceability Management System in Agriculture—Take Aodong Fruit and Vegetable Planting Cooperative as an Example

At present, strengthening the construction of agricultural product quality and safety traceability system and vigorously developing digital and intelligent agriculture have become the focus of future agricultural development. This project concentrates on the development of Golden Pear planting and processing industry chain in Aodong Village, Shigezhuang Town, Wuqing district, Tianjin. It combines Internet of Things, QR code traceability technology with cloud big data to develop an intelligent management system for Yongbei Golden Pear industry chain. The intelligent platform management makes fine traceability management from production to consumption possible, so as to further enhance the characteristic brand of cooperative agricultural products, create cooperative agricultural products sales channels and new image, and improve quality and efficiency of agriculture.

Development and evaluation of an intelligent traceability system for waterless live fish transportation

Chinese consumers prefer to purchase fish that have only recently been killed. The supplying of live fish is routinely delivered by water. However, the traditional transportation of live fish with water results in small volume of transportation and may cost prohibitive. Therefore, cold anesthetized waterless live fish transport is considered an alternative and promising strategy, since this is likely to demand less energy with large freight volume. This paper aims to develop an intelligent traceability platform based on HACCP system that integrates wireless monitoring and quality control models to improve the quality control and safety transparency in waterless fish transportation. In this research Chinese sturgeon is taken as experiment subjects for long-distance transportation. Oxygen change model is established as a life-sustained key factor by hybrid prediction method can optimize fish survivability. Survival prediction model is also designed for improvement of live delivery quality with minimum stress accumulation under precise temperature condition. For tracing function evaluation, the QR Code combined with existing EPC traceability technology enables users to expediently query and quickly trace the safety transport information from aquaculture to markets. To demonstrate the automatic monitoring and intelligent traceable management in this platform, sturgeon delivery experiments have been evaluated and analyzed. The results illustrate this system can reduce the potential risks, implement quality control with high survival results, and improve the live fish transport volume at low-costly. In brief, application of this smart platform will provide an effective, suitable technical reference for aquatic enterprises to follow, and help them to adjust the waterless transport techniques for the other types of aquatic products.

Agricultural cooperatives and the role of organisational models in new intelligent traceability systems and big data analysis

Traceability systems are key to assuring food safety, creating a benefit for food supply chain components. Currently, the appearance of new technologies such as IoT and Big Data Analysis leads to a new generation of more functional, but complex, traceability systems. Organisational models based on cooperation of multiple small/medium size agents, for example of small/family farming cooperatives, play an important role in high standard agricultural production and commercialization processes. These function as both social and economic networks, with high social and economic impact in the rural areas. The case of Almeria as an example of this model was used to analyze its cooperative model. The actual traceability systems in the Almeria model were studied, taking account of the different networked agents and their interrelation. This study includes two main parts: a) analysis of the net-chains that constitute the food supply chains and their different relationships, and b) actual traceability. The next step studied how the net-chain model, including many diverse agents, may be applied to develop a new generation of traceability systems based of IoT and Big Data. This implies extending the special and functional scope of the actual systems and defining clear rules of exchange of the results of the Big Data Analysis, taking account of the adequate Privacy Rules. This work analyses the current organisation as a base for a new generation of traceability systems considered in the European project IoF2020 (Internet of the Food and Farm 2020). Some parallels between Almeria’s model and certain areas in China, mainly in the areas of Beijing-Tianjin-Hebei and Shandong were detected. Another of the objectives of this work is to deepen the understanding of these similarities and analyze the possible adaptation of the results from Almeria to China. Keywords: food traceability system, big data, internet of things, organisational structure, business model, agricultural cooperatives, net-chains, food supply chain DOI: 10.25165/j.ijabe.20171005.3089 Citation: Giagnocavo C, Bienvenido F, Li M, Zhao Y R, Sanchez-Molina J A, Yang X T. Agricultural cooperatives and the role of organisational models in new intelligent traceability systems and big data analysis. Int J Agric & Biol Eng, 2017; 10(5): 115–125.

Developing an Intelligent Traceability System for Aquatic Products in Cold Chain Logistics Integrated WSN with SPC

Aquatic products are well received by customers from around the world. Quality and safety of aquatic products have attracted increasing attention, especially in emerging economies. Cased by actual aquatic products cold chain logistics, this article introduces the efforts for developing and evaluating the intelligent monitoring system for aquatic products (IMS-CS): an intelligent traceability system integrated wireless sensor network with statistical process control. Observations, interviews, literature review and experts’ questionnaires were used for system requirement and knowledge acquisition; actual aquatic products cold chain logistics scenario was applied to evaluate and validate the performance of IMS-CS. The results show that that the IMS-CS could trace and monitor the real time temperature fluctuation and the quality of aquatic products, which improve the transparency of the cold chain logistics and enables more effective control of the traceability, quality and safety. The valuable suggestion indicates that the process was under medium risk level and had potential to be improved. Practical Applications The proposed method could be exploited widely by future researchers or practitioners in cold chain monitoring and traceability tasks.

Food quality and safety monitoring using gas sensor array in intelligent packaging

Purpose This paper aims to study different possibilities for implementing easy-to-use and cost-effective micro-systems to detect and trace expelled gases from rotten food. The paper covers various radio-frequency identification (RFID) technologies and gas sensors as the two promoting feasibilities for the tracing of packaged food. Monitoring and maintaining quality and safety of food in transport and storage from producer to consumer are the most important concerns in food industry. Many toxin gases, even in parts per billion ranges, are produced from corrupted and rotten food and can endanger the consumers’ health. To overcome the issues, intelligent traceability of food products, specifically the packaged ones, in terms of temperature, humidity, atmospheric conditions, etc., has been paid attention to by many researchers.

Food traceability: New trends and recent advances. A review

Current traceability systems are characterized by the inability to link food chains records, inaccuracy and errors in records and delays in obtaining essential data, which are fundamental in case of food outbreak disease; these systems should address the recall and withdraw of non-consumable products. The present paper provides a review of the various latest technological advancements such as innovative implementations of RFID that can make to increase the sales of wheat flour, or allowing the consumer to know the full record of the IV range products through the smartphone; knowing the food authenticity with an isotope analysis or by analysing the DNA sequences. There are also presented some conceptual advancements in the field of food traceability such as the development of a common framework towards unifying the present technical regulations, the interconnectivity between agents, environment loggers and products, all of them in the form of Internet of things system as well as the development of intelligent traceability, where it is possible to retrieve the temperature of a product or its remaining shelf-life.These new techniques and concepts provide new opportunities for enhancing the efficiency and compatibility of the present traceability systems.

Development and evaluation of an intelligent traceability system for frozen tilapia fillet processing.

The main export varieties in China are brand-name, high-quality bred aquatic products. Among them, tilapia has become the most important and fast-growing species since extensive consumer markets in North America and Europe have evolved as a result of commodity prices, year-round availability and quality of fresh and frozen products. As the largest tilapia farming country, China has over one-third of its tilapia production devoted to further processing and meeting foreign market demand. Using by tilapia fillet processing, this paper introduces the efforts for developing and evaluating ITS-TF: an intelligent traceability system integrated with statistical process control (SPC) and fault tree analysis (FTA). Observations, literature review and expert questionnaires were used for system requirement and knowledge acquisition; scenario simulation was applied to evaluate and validate ITS-TF performance. The results show that traceability requirement is evolved from a firefighting model to a proactive model for enhancing process management capacity for food safety; ITS-TF transforms itself as an intelligent system to provide functions on early warnings and process management by integrated SPC and FTA. The valuable suggestion that automatic data acquisition and communication technology should be integrated into ITS-TF was achieved for further system optimization, perfection and performance improvement.

Unified Traceability Information System of Logistics Pallet Based on the Internet of Things

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.

Intelligent Traceability System of Containerized Goods

In recent year, many countries across in the world have made traceability a compulsory procedure in the Supply Chain. The Supply Chain is distributed collaborative environments involves the acquisition and use of extensive informational and physical flows. The flows management seems a complex task for the actors of the multimodal transport chain which the transport is the major driver in a Supply Chain. The literature reviews throws light on the traceability in the Supply Chain Management (SCM) shows the lack of interoperability and flexibility in data management systems hinders the work of traceability. And it introduces the importance and complexity of multimodal transport operations. To ensure effective traceability all along this chain, we relied on the agent paradigm and the ontology which facilitate the integration of goods data in order to exploit and reuse. Indeed, to ensure communication and interoperability of these data we relied on Multi-Agent Systems, due to their characteristics of autonomy, sociability and responsiveness that are generally associated. The Multi-Agent Systems can build flexible systems whose behaviors are complex and complicated due to the combination of different types of agents. With a focus on the importance of the concept of the traceability, the objective of this work is to propose an intelligent system for the traceability of containerized goods in the context of multimodal transport: Intelligent Traceability System of Containerized Goods (i-TSCG).