Analysis of Core Technology Problems and Countermeasures in the Robot Industry

Since 2013, China has been the world’s largest market for industrial robots. Despite the gradual maturity of the industrial robot system, the lagging R&D and backward technology level of industrial robots have led to a strong dependence on the import of core components and key technologies, which to a certain extent has restricted the development and improvement of industrial robots. At present, the “neck problem” in the field of industrial robots in China is not only in the reducer, controller, and servo but also in the basic processing equipment, basic technology, and basic materials. In this paper, we propose measures to improve the “neck problem” of industrial robots to promote the high-quality development of industrial robots in China.

Research on Virtual Reality 3D Exhibition Hall based on the Smart Campus of Geely University

With the support of Geely college, this study aims to solve the problem that teachers and students’ works cannot be displayed under special circumstances. Using this set of applications breaks through many conditions such as time and region, shows learning style to teachers and students and the outside world, and provides a way for knowledge dissemination and sharing.

RHMX: Bus arrival time prediction via mixed model

With the widespread use of information technologies such as IoT and big data in the transportation business, traditional passenger transportation has begun to transition and upgrade into intelligent transportation, providing passengers with a better riding experience. Giving precise bus arrival times is a critical link in achieving urban intelligent transportation. As a result, a mixed model-based bus arrival time prediction model (RHMX) was suggested in this work, which could dynamically forecast bus arrival time based on the input data. First, two sub-models were created: bus station stopping time prediction and interstation running time prediction. The former predicted the stopping time of a running bus at each downstream station in an iterative manner, while the latter projected its running time on each downstream road segment (stations as the break points). Using the two models, a group of time series data on interstation running time and bus station stopping time may be predicted. Following that, the time series data from the two sub-models was fused using long short-term memory (LSTM) to generate an approximate bus arrival time. Finally, using Kalman filtering, the LSTM prediction results were dynamically updated in order to eliminate the influence of aberrant data on the anticipated value and obtain a more precise bus arrival time. The experimental findings showed that the suggested model's accuracy and stability were both improved by 35% and 17%, respectively, over AutoNavi and Baidu.

Development and Application of Methane Leakage Monitoring System for Gas Transmission Pipeline

Oil and gas pipeline transportation, as a relatively safe way of oil and gas transportation, undertakes most of the transportation tasks of crude oil and natural gas. Oil and gas pipeline accidents affect a wide range of consequences. Therefore, the oil and gas pipeline leakage detection is paid more and more attention. In this paper, ultra-low power methane gas sensor is selected to collect methane gas concentration in the air, and wireless network technology is used to build a wireless network sensor system with 4G function. Through the sensor distribution along the pipeline, it can intuitively and accurately judge whether there is a micro-leakage in the pipeline, and understand the diffusion situation after the leakage. The sensor system has high reliability and stability, and has high value of popularization and application.

Design of Power Communication Data Network Management System and Implementation of Data Acquisition Module

The power communication network is a separate network from the power grid whose primary purpose is to ensure the power grid's safe operation. This paper expounds the composition of the comprehensive network management architecture of the power communication data network and the implementation of the data acquisition module in the network management system through theoretical analysis, for the reference of relevant personnel, in order to better promote the collection of power grid communication network data.

Applications and Challenges of Deep Reinforcement Learning in Multi-robot Path Planning

With the rapid advancement of deep reinforcement learning (DRL) in multi-agent systems, a variety of practical application challenges and solutions in the direction of multi-agent deep reinforcement learning (MADRL) are surfacing. Path planning in a collision-free environment is essential for many robots to do tasks quickly and efficiently, and path planning for multiple robots using deep reinforcement learning is a new research area in the field of robotics and artificial intelligence. In this paper, we sort out the training methods for multi-robot path planning, as well as summarize the practical applications in the field of DRL-based multi-robot path planning based on the methods; finally, we suggest possible research directions for researchers.

Vibration Test Measures for Pump Fault Diagnosis

The vibration measuring standard for compound machinery utilized in modern industrial production will be employed for the application of detecting technologies. The vibration intensity can be obtained by selecting the detecting method to obtain the speed of mechanical vibration, and technicians can examine whether the vibrating machinery is in a proper functioning state based on the value of vibration intensity, allowing for thorough fault diagnosis. In order to provide useful diagnosis ideas for technicians, this study examines the measurement of mechanical vibration and investigates the calculating method of mechanical vibration intensity.

Research on the Application of Deep Learning in Artificial Intelligence Courses

With the in-depth reform of education, taking students as the center, letting students master the basic knowledge of the theory, but also training students’ practical skills, is an important goal of the current artificial intelligence curriculum teaching reform. As a new learning method, deep learning is applied to the teaching of artificial intelligence courses, which can not only give play to students’ subjective initiative, but also improve the efficiency of students’ classroom learning. In order to explore the specific application of deep learning in the teaching of artificial intelligence courses, this article analyzes the key points of the application of deep learning in artificial intelligence courses. In addition, further explores the application strategies of deep learning in artificial intelligence courses. As it aims to provide some useful references to improve the actual efficiency of artificial intelligence course teaching.

Prevention and Control Strategy of Reader Factors in Safety Management of Electronic Reading Room

Many libraries have built and opened the electronic reading room, electronic reading room security management has been paid more and more attention. In the specific safety management, the prevention and control of reader factors is very important. By comparing and analyzing the prevention and control of reader factors in the safety management of some electronic reading rooms, it can be found that the corresponding prevention and control situation is not ideal, and even there are some obvious problems, which also leads to great hidden dangers in the safety management level. This paper will specifically analyze the prevention and control of reader factors in the safety management of electronic reading room, and put forward more effective prevention and control strategies.

The Causes and Enlightenment of Post-Modern Film Culture in the 5G Era

With the increasing influence of 5G technology on film art, the postmodern culture contained therein is also gradually becoming obvious. Understanding the context of the 5G era and clarifying the origin of postmodern film culture can help us analyze the cause of the rise of postmodern film culture, especially the important influence of the expansion of film application scenes, the innovation of the whole industry chain and the evolution of film aesthetics on the rise of postmodern film culture. In addition, we should also consider the film culture under the postmodernism of 5G era, and explore the way to stick to the benign development of film creation and film industry in order to enhance our cognition and appreciation of postmodern film culture, to maximize the positive factors of postmodern film culture, and to promote the healthy and prosperous development of Chinese film production, creation and industry.