Research to key success factors of intelligent logistics based on IoT technology

Chen, Xiaozhong; Chen, Rongli; Yang, Cairu

doi:10.1007/s11227-021-04009-7

Cited by 10 publications

(4 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the intelligent logistics management system designed in this paper, RFID technology is used to identify and label the pallets, cargo spaces, and shelves to form a data carrier, which is convenient for reading or writing related item data information, and at the same time, it is transmitted to the computer for processing. Te ROS robot is used as a handling tool, and the label is used as a positioning label for multiple vehicles as well as a data carrier [14,15]. At the same time, the system performs robot management, route management, monitoring management, and task management on the established user management system by digitizing the warehouse environment.…”

Section: Design Of Intelligent Logistics Management Systemmentioning

confidence: 99%

Optimization Path and Design of Intelligent Logistics Management System Based on ROS Robot

2023

Journal of Robotics

View full text Add to dashboard Cite

With the rapid development of the Internet of Things (IoT), the logistics and transportation industry is booming. At the same time, with the advancement of AI technology, intelligent logistics is also gradually emerging, and the purpose of intelligent logistics is to use different types of automatic guided transport machines to replace people to handle and move products. At the same time, with the help of big data, cloud computing, artificial intelligence, sensor technology, and other technologies, we can achieve logistics automation. However, the current logistics robot creation platforms are diverse, which makes intelligent logistics robots diverse in variety and wide in application and also makes the creation and use of robots more challenging. Robot Operating System (ROS) is an open-source software platform that supports programming in multiple languages and has excellent adaptability. In addition, most of the currently used path planning focuses on a single target point, which is insufficient to support the current needs of multitasking in intelligent logistics. Therefore, this paper aimed to design an intelligent logistics management system based on ROS robot and proposed to use the A-star algorithm to calculate the shortest path of the robot so as to achieve the optimal path. In the simulation experiment, 20 ROS robots were selected and divided into two groups. In the logistics warehouse of different transportation nodes, 20 ROS robots were set up to transport goods of different weights in the experiment, and the transportation data were collected at last. The final simulation results have shown that the power consumption and response delay performance of the ROS robot are good, and the logistics transportation speed is significantly improved. In addition, compared with the traditional transportation method, the daily transportation weight of each robot is up to 310.1% and the monthly profit is up to 171%, which shows that the intelligent logistics management system designed in this paper is more efficient in logistics and transportation and can bring more profits.

show abstract

Section: Design Of Intelligent Logistics Management Systemmentioning

confidence: 99%

Optimization Path and Design of Intelligent Logistics Management System Based on ROS Robot

2023

Journal of Robotics

View full text Add to dashboard Cite

show abstract

“…The conical stacking algorithm and the hybrid rounded algorithm are commonly used in feature extraction and categorization of intelligent data [22]. These algorithms are used to obtain the optimal solution by hierarchically dividing the obtained data into two types, optimal and discretized, and thus achieve the solution of the target problem [23]. In recent years, tapered iterative methods have been widely used for many speci c engineering problems.…”

Section: Resultsmentioning

confidence: 99%

A Study on IOT Technology and Its Application in the Appreciation of Tang and Song Literature

Sheng

Jia

2023

Preprint

View full text Add to dashboard Cite

How to achieve efficient appreciation and intelligent parsing of Tang and Song literatures are two major difficulties in the field of studying Tang and Song literatures nowadays. Based on this, this paper investigates the application of multidimensional spatio-temporal IoT parsing model combined with cone stacking algorithm in the appreciation of Tang and Song literatures. Firstly, we summarize the current research status of Tang and Song literature appreciation, and propose a multidimensional spatio-temporal IoT analysis model based on cone stacking algorithm according to the characteristics of Tang and Song literature, and combine the application ideas of various appreciation models in Tang and Song literature appreciation to normalize the multidimensional analysis of traditional Tang and Song literature database to achieve accurate appreciation from different perspectives, and then analyze the accuracy and objectivity of the appreciation model. The accuracy and objectivity of the appreciation model are then analyzed. Secondly, the set of evaluation functions of the multidimensional spatio-temporal IoT analysis model in this application is constructed, and the characteristics and appreciation ideas of current literary masters are combined in the optimal appreciation, and the error of the composite appreciation analysis function is improved, while the cone stacking algorithm is combined with the multidimensional spatio-temporal IoT analysis appreciation model to realize the internal intelligent learning. Finally, a validation experiment is designed, and the results show that the multidimensional spatio-temporal IoT analysis model based on the cone stacking algorithm can quickly and accurately achieve the appreciation of conventional Tang and Song literature from multiple levels.

show abstract

“…Mobile Information Systems information is generated through big data analysis to develop more products or services and improve the business performance [5]. Wu et al designed an Interactive Tele-Care System (ITCS) enhanced by Internet of ings (IoT) technology that enabled direct communication between a patient's medical device and a caregiver's smartphone to improve the quality of care for chronically ill patients.…”

Section: Related Workmentioning

confidence: 99%

Monitoring the Physical Condition of Basketball Players using IoT and Blockchain

Song

Tuo

2022

Mobile Information Systems

View full text Add to dashboard Cite

As a popular competitive sport, basketball has attracted the attention of many people due to its warm and sunny characteristics. Athletics means results, but not everyone gets the results they want. With the continuous development of technology, people have gradually discovered that the physical function of athletes is one of the important factors affecting the performance of sports. The long-standing principle of “three big and one small” ignores the overall physical fitness of athletes, resulting in insufficient physical coordination and slow performance improvement. Competitive sports have always followed the principle of “three big and one small,” which means emphasizing high-strength and high-intensity training, and fundamentally ignoring the impact of small muscle groups and overall physical fitness on athletes. To overcome this disadvantage, this paper aims to study the physical condition monitoring of basketball players based on the Internet of Things and blockchain. It is expected to use the Internet of Things and blockchain technology to monitor the physical function of athletes in real time, formulate scientific training plans, and improve athletes’ competition. The essence of blockchain is a decentralized database, which is used to verify the validity of messages. With the promotion of Internet technology, it is essential to store and extract information from large network information. This paper compared the results of experimental methods to show the impact of the connection between physical function training and high-level basketball traditional training, proposed a new scalable storage and privacy protection scheme to solve the problem that a large amount of data cannot be stored on the blockchain. The experimental results in this paper showed that the lowest hemoglobin content of athletes before training was 131 g/L, and the highest was 157 g/L, indicating that the athletes were generally in good physical condition at this moment. After training, the lowest hemoglobin content of athletes was 117 g/L and the highest was 131 g/L, indicating that the athlete’s physical function state declined and the training intensity was too high.

show abstract

Research to key success factors of intelligent logistics based on IoT technology

Cited by 10 publications

References 29 publications

Optimization Path and Design of Intelligent Logistics Management System Based on ROS Robot

Optimization Path and Design of Intelligent Logistics Management System Based on ROS Robot

A Study on IOT Technology and Its Application in the Appreciation of Tang and Song Literature

Monitoring the Physical Condition of Basketball Players using IoT and Blockchain

Contact Info

Product

Resources

About