最新刊期
卷 21 ， 期 10 ， 2022
- 摘要：As the product of the deep integration of the new generation information technology and manufacturing industry， the industrial Internet is the key infrastructure of the new industrial revolution characterized by digitalization， networking and intelligence. The core goal of industrial intelligence is to realize the automation， informatization and intellectualization of the manufacturing process with the aid of artificial intelligence technology， so as to optimize the whole manufacturing process of the whole product life cycle as a whole. Therefore， with Industry 4.0 and Made in China 2025 as the background， this paper analyzes the key technologies of industrial intelligence and industrial Internet， studies the technological evolution route of industrial intelligence， discusses the development status and existing problems of industrial intelligence and industrial Internet， and proposes solutions in specific application fields in combination with typical industrial intelligent manufacturing transformation and upgrading cases， with a view to providing reference for the development of enterprise industrial intelligence.关键词：industrial intelligence;Industrial Internet;Industry 4.0;Made in China 2025;artificial intelligence
- 92
- |
- 13
- |
- 0
发布时间：2022-12-27 - 摘要：Industrial software is the cornerstone of industrial development. With the rapid development of the new generation of information technology， the value of industrial software to products and business has become increasingly important and has become a decisive factor. Industrial software is widely used in the automotive industry. The development， integration ability， and application level of industrial software of automobile enterprises determine their competitiveness. Taking the transformation of the automobile industry in the digital era as the research theme and analyzes and discusses the IT development process， the integration of IT and products and businesses， software-defined vehicles， and the role of industrial software in the digital transformation and upgrading of the automobile industry and concludes that industrial software has evolved from an assistance role to dominating and that automobile intelligence is the new main battlefield of industrial software. The study shows that the development and application of industrial software is the key to the digital transformation and improvement of the automobile industry.关键词：digital transformation;intelligent manufacturing;industrial technology software;industrial software;industrial APP;new generation IT;automobile intelligence
- 66
- |
- 13
- |
- 0
发布时间：2022-12-27 - 摘要：With the deep promotion of the digital economy， the importance of industrial software to modern manufacturing has become increasingly prominent. The dependence of the whole product， whole process and whole value chain of the manufacturing industry on industrial software has gradually increased. Industrial software has become the soul of modern industry and manufacturing. To this end， first of all， the paper expounds the development history of industrial software， clarifies that the essence of industrial software is industrial software， and deeply analyzes the relationship between industrial software and industrial technology. Then， by analyzing Adam Smith's division theory， computer hardware architecture division and software system division， it is found that China should focus on developing professional software in the industry rather than general industrial software. Finally， ten thoughts on the development of industrial software in China are put forward.关键词：industrial knowledge;software based on industrial technology;industrial software;industrial APP;general industry software
- 2295
- |
- 94
- |
- 0
发布时间：2022-12-27 - 摘要：Describes the achievements and problems in the development of industrial software， as well as the opportunities brought by the 14th Five-Year Plan for the development of industrial software， in order to better understand the guiding role of the 14th Five-Year Plan in the development of industrial software and find the effective model suitable for the development of industrial software in China. The research interprets the policies related to industrial software in the 14th Five-Year Plan and the 14th Five-Year Plan for the development of software and information technology service industry， focuses on the analysis of development goals， development directions and key work， and finally gives suggestions for the development of industrial software.关键词：industrial software;the 14th Five-Year Plan;industrial digitization;independent innovation
- 38
- |
- 9
- |
- 0
发布时间：2022-12-27 -
Introduction to the Development of China's Industrial Software Industry Status and Opportunities AI导读
摘要：Industrial software is the cornerstone of industrial manufacturing， the core support for the high-quality development of the manufacturing industry， and an important starting point for China to transform from a manufacturing-power to a manufacturing-strong. Promoting the independent control of core industrial software is an inevitable requirement for the development of domestic industrial software. Analyze the development status of industrial software at home and abroad， and puts forward the problems existing in the development of industrial software in China from the aspects of technology accumulation， human capital， R&D investment， and property rights protection. And according to the current situation and characteristics of industrial software， analyze the development opportunities of domestic industrial software in terms of policy， demand and technology， in order to provide impetus for the comprehensive construction and development of Chinese industrial software industry policy system.关键词：industrial software;industry status;development opportunities;intelligent manufacturing- 23
- |
- 8
- |
- 0
发布时间：2022-12-27 - 摘要：As China's independently developed and designed software industry only accounts for about 5% of the market， industrial software is dependent on imports. With China's increasing research on industrial software related technologies， the vitality of domestic industrial software has been gradually stimulated， but there are still a series of problems in the development of industrial software. Therefore， starting from the overview and current situation of industrial software， analyze the problems existing in the development of industrial software， puts forward the main solutions， and judges the development trend of industrial software. The analysis shows that improving the level of core technology， improving the industrial support policy， innovating the main link of emerging industries， enhancing talent introduction and training， establishing and improving relevant laws and regulations can effectively solve the existing problems in the development of industrial software in China， with a view to providing reference and reference for the development of industrial software in China.关键词：Chinese industrial software;present situation of industrial software;development trend of industrial software;innovation and development
- 23
- |
- 11
- |
- 0
发布时间：2022-12-27 - 摘要：Industrial software are mostlybased on macroscopic finite elements-based simulations. However， in many cases， we need simulations at the electron， atomic， and molecular level. In order to address this need， is developed the microscopic multi-scale integrated materials design industrial software is developed， namely， MatCloud+. MatCloud+ not only integrates materials modelling， simulation workflow， material database， high performance computing cluster， and AI algorithm into the Cloud， but also develops an autonomous & controllable first-principles simulation software package and molecular dynamics software package， accumulating nearly 10 million material data. Academic users can run high-throughput multi-scale materials simulation only through Web browsers without downloading and installing any software. Enterprise users can deploy MatCloud+ as a private Cloud to quickly transform the fragmented materials experimental data into database and integrate with high-throughput simulation data to carry out intelligent material design. The development of MatCloud+ has broken down the monopoly of microscopic multi-scale integrated materials design industrial software dominated by foreign countries.关键词：materials design industrial software;microscopic multi-scale integrated materials design industrial software;high-throughput materials simulation;material gene coding;MatCloud+
- 56
- |
- 9
- |
- 0
发布时间：2022-12-27 - 摘要：Nuclear power plant is a complex socio-technical system. Once an accident occurs， it will bring potential radioactive risks to the public and the environment. Safety is the premise of the sustainable development of nuclear power. In order to evaluate the operation status of nuclear power plants， a monitoring and early warning framework for the operation risk of nuclear power plants is proposed， and the corresponding monitoring system is developed. The system mainly includes power station status configuration module， interface module， online / offline risk calculation module， interface graphical display module and authority management module. Through V&V test， the results show that the software platform has realized the established functions， and its performance has reached the level of international similar advanced software.关键词：nuclear power plant;socio-technical system;risk-informed theory;risk monitoring;risk warning
- 16
- |
- 3
- |
- 0
发布时间：2022-12-27 - 摘要：With the support of modern information technology， coal mining enterprises are gradually transforming to the direction of intelligence and digitalization. The domestic Galaxy Kylin operating system is used to build an intelligent software and hardware platform for coal mines based on the domestic self-controllable CPU architecture， The platform can run Pytorch Keras and other deep learning frameworks to efficiently and stably complete tasks such as target detection， graphical classification， and pipe network control to achieve unsafe behavior detection， ventilation quality detection and real-time drainage detection during personnel coal mine operations， providing constructive strategic support for traditional coal mining enterprises to move towards intelligence.关键词：intelligent coal mine;domestic CPU;software and hardware platform;deep learning;target detection;smart mines
- 10
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：In order to solve the problem that it is difficult to obtain accurate data of narrow and hidden underground cavities in engineering construction， a set of three-dimensional underground cavity detection system is proposed. The system is based on the low-cost two-dimensional lidar， combined with the independently developed data acquisition device， and uses data conversion and visualization software to perform data coordinate conversion， general three-dimensional format conversion， three-dimensional data display and other operations， and carries out feasibility experiments and accuracy analysis on the simulated underground cavity. The experimental results show that the system can efficiently obtain high-precision 3D data of underground cavities， and the hardware cost is low，which provides a new solution for the domestic underground cavity detection work.关键词：lidar;underground cavity;three-dimensional detection system;data conversion;point cloud processing
- 12
- |
- 3
- |
- 0
发布时间：2022-12-27 - 摘要：Collaborative manufacturing provides a good platform for information sharing among manufacturing enterprises. However， its vast amount of information also makes it difficult for manufacturing enterprises to choose cooperative enterprises. This is because the existing manufacturing enterprises have not only a lot of equipment， but also a wide variety of equipment， which makes it difficult for manufacturing enterprises to quickly find suitable cooperative enterprises， which have equipment that meets the needs. In order to solve the problem of selecting manufacturing enterprises， this paper proposes a manufacturing enterprise recommendation method based on domain knowledge. This method uses the existing domain knowledge to design a device workpiece description language based on domain knowledge， and transforms this language into reasoning rules， so as to realize the screening of manufacturing enterprises that can quickly find suitable processing equipment. Finally， the recommended method is tested and verified by the data of a factory in Ningbo. The experimental results show that the recommended method can significantly improve the selection efficiency of manufacturing enterprises.关键词：collaborative manufacturing;domain knowledge;equipment recommendation;inference rules;enterprise recommendation
- 19
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：Uninsulated track circuits are an important part of the railway network. introduce three general technical routes of ZPW-2000 track circuit fault diagnosis methods， and explains the implementation paths of the three routes， especially the signal decomposition and processing part. Through analysis， signal decomposition and processing methods are limited to rail surface equipment， such as compensation capacitors， etc.； the fault diagnosis range of shallow machine learning is wider than that of signal decomposition and processing， but the process is more complicated； the accuracy and fault diagnosis range of deep learning are relatively excellent， deep learning fault diagnosis is the general trend of future development.关键词：track circuit;fault diagnosis;signal decomposition;feature extraction;machine learning;deep learning;intelligent transportation
- 10
- |
- 3
- |
- 0
发布时间：2022-12-27 - 摘要：In view of the current situation that the accuracy of pile defect type recognition is not high， a feature extraction method integrating time domain， frequency domain and wavelet packet energy is proposed， and a classification model based on improved grey wolf optimization algorithm support vector machine （IGWO-SVM） is established. In the model，IGWO uses Sobol sequence to initialize the population and introduces Moran index to improve the global convergence ability of grey wolf optimization algorithm （GWO）. Finally， two important parameters of the model， C is 39.21 and g is 0.16， are determined. The test results show that the recognition accuracy of this model for pile defect types can reach 96.97%， which is 6.36% and 12.36% higher than BP neural network and KNN classification models respectively. IGWO-SVM classification model has significant effectiveness and superiority in pile defect identification.关键词：grey wolf algorithm;support vector machine;wavelet packet analysis;ultrasonic transmission method;foundation pile defect
- 20
- |
- 5
- |
- 0
发布时间：2022-12-27 - 摘要：In order to solve the siamese tracking networks accuracy problem in complex scenes such as large scale morphological changes and object occlusion， design a siamese visual tracking network based on attention and anchor free. This network combines multi-layer feature map information on the basis of siamese network， and introduces transformer network method based on attention mechanism， which is related to the traditional. The operation is combined to complete the feature matching， and the regression is performed based on the anchor free to complete the prediction of the target center position and the bounding box.By comparing with the mainstream siamese network visual tracking algorithm on multiple object tracking datasets. In the UAV123 dataset， Success rate was 2.3% higher than the HiFT model. The precision increased by 1.1% compared to the model HiFT and by 3.8% compared to the model Siam CAR.Our algorithm in this paper has certain advantages in accuracy and robustness， and has better performance in the presence of occlusion， fast moving and complex background.关键词：object tracking;Siamese network;attention mechanism;anchor free;transform network
- 14
- |
- 3
- |
- 0
发布时间：2022-12-27 - 摘要：Aiming at the problem of three-dimensional automatic process path planning in the body manufacturing process， a three-dimensional dynamic collision detection algorithm based on intelligent algorithm is proposed. The algorithm triangulates the car body， and processes the three-dimensional probe， probe and extension rod into hierarchical bounding boxes， so as to realize the modeling of the space occupied by the three-dimensional motion trajectory. In view of the low computational efficiency and insufficient accuracy caused by the "tunnel effect" in the collision detection algorithm， a hierarchical collision detection algorithm based on the combination of OBB bounding box and GJK collision detection is proposed. The simulation results show that the algorithm has high real-time and accuracy， and provides a new theoretical basis for the automatic development of digital process path in the automotive industry.关键词：white body;three coordinate measuring machine;hierarchical collision detection;dynamic collision detection;digitalization of the car body
- 12
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：In order to achieve intelligent control of the hydraulic turbine speed control system， a CPSOGSA algorithm based on the convergence factor particle swarm algorithm （CPSO） and the gravitational search optimization algorithm （GSA） is proposed. Firstly， the basic model of the hydraulic turbine is established， and then the parameters of the PID controller are optimized and Simulink simulation model is built using the CPSOGSA algorithm. The simulation results show that the best matching initial parameters of the PID controller can be obtained quickly by using the CPSOGSA algorithm， and the PID control system of the CPSOGSA algorithm has smaller output speed fluctuation， shorter stabilization time and faster dynamic response than the traditional PID control system under frequency perturbation and wind power perturbation. The PID control based on the CPSOGSA algorithm has better dynamic stability when applied to the turbine speed control system.关键词：turbine speed control system;constriction coefficient particle swarm gravitational search algorithm;PID parameter optimization;Simulink simulation;water conser vancy machinery intelligence
- 9
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：In order to improve the high rate of missed detection and error detection of catenary equipment， propose an improved target detection method of YOLOv3 catenary equipment. A spatial pyramid module is added between Darknet-53 and the predicted feature layer to increase the receptive field. The method of image enhancement is introduced to increase the robustness and diversity of data set. GIoU loss function is used to replace the original IoU loss function to improve the target detection accuracy. Experimental results show that when the improved model is applied to catenary equipment， its average detection accuracy （mAP） reaches 89.19%， which is 9.38% higher than the original YOLOv3 model， and the target detection speed has little change， indicating that the proposed target detection model meets the detection effect of catenary equipment.关键词：overhead lines equipment;target detection;deep learning;YOLOv3;loss function
- 13
- |
- 4
- |
- 0
发布时间：2022-12-27 - 摘要：Continuous casting is an important and bottleneck process in steel production. Because the iron and steel processing is a NP-hard problem with multiple constraints， strong coupling and large scale， the traditional algorithm cannot find the exact optimal solution well. Therefore， use the improved grey wolf optimization algorithm to solve the problem. Reverse learning was used to initialize the population to improve the diversity of the initial population， nonlinear convergence factor was used to balance the global and local search ability of the algorithm， and Lévy flight strategy was used to improve the global optimization ability of the elite wolf in the later stage. In addition， the scheduling model of steelmaking continuous casting with buffer constraints is established. Finally， the improved grey Wolf optimization algorithm is used to solve the model， and the effectiveness of the model and algorithm is tested by simulation experiments. The results show that the improved grey wolf optimization algorithm performs better in solving speed and accuracy.关键词：GWO;reverse learning;convergence factor;Levy flight strategy;steelmaking-continuous casting scheduling
- 8
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：Numerous abnormal electricity consumption identification models have been proposed to identify abnormal electricity consumption and facilitate fault location and maintenance by electricity power companies. Existing methods require bringing together data scattered in various companies for model construction. However， this centralized data pooling operation may cause leakage of user data during transmission. In order to ensure the privacy of data， the information entropy-based federal learning for Identifying abnormal electricity consumption is proposed. This model is based on the computational strategy of "local training of model and online updating of parameters" of federal learning paradigm and uses data blocks stored in different clients as training data to avoid the potential data leakage risk caused by centralized model training. In addition， the variability of data quality among clients in the process of federal learning intermediate parameter aggregation may potentially affect the model performance. The Kozachenko-Leonenko k-nearest neighbor evaluation algorithm is used to obtain the information entropy of the client dataset as a way to characterize the contribution of each client to the final parameters. The simulation results show that the federal learning-based abnormal electricity consumption data identification can effectively identify the abnormal data in electricity consumption data while ensuring data privacy.关键词：electricity data analysis;anomaly identification;information entropy;federal learning;neural networks;smart grid
- 19
- |
- 4
- |
- 0
发布时间：2022-12-27 - 摘要：PI control is an essential approach for controlling speed from a Brushless DC （BLDC） motor to achieve stable operation. This paper presents an improved algorithm based on chaos particle swarm optimization （CPSO） and combined with information entropy to perform an optimal PI tuning for speed control of BLDC motor. The algorithm uses information entropy to evaluate the diversity of particles and determine whether particles mutate or not. The problems on local option from PSO and particle shift from CPSO can be removed by the improved algorithm. The simulation by MATLAB indicated the overshoot and settle time are better than the previous PSO， Z-N， and FPA Algorithm. Our results demonstrated that the improved algorithm can be suitable for PI controller with optimal parameters.关键词：brushless DC motor;PI controller;Z-N algorithm;improved CPSO algorithm;PSO algorithm;FPA algorithm;MATLAB;motor control
- 5
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：At present， the deep neural network is usually used to detect the user's abnormal power consumption behavior based on the historical power consumption data， but this method neglects the impact of power data missing on the anomaly detection performance. For this reason， a detection model of abnormal electricity use behavior based on missing value completion and bidirectional long short memory neural network （BiLSTM） is proposed. Firstly， Kalman filter and one-dimensional convolutional neural network are used to learn the text information representation of power data， and the complex correlation between power data is captured through graph attention network. Then， the Transformer is used as the generator and the support vector machine （SVM） is used as the discriminator to build the generation countermeasure network （GAN） model， and the missing values of power data are supplemented through mutual confrontation. Finally， BiLSTM is used to detect abnormal electricity use behavior. The experimental results show that the accuracy， F1 value， AUROC value and AUPRC value of the proposed model are 96.82%， 60.28%， 89.17% and 56.73% respectively， which is superior to the mainstream anomaly detection model. It is proved that the model can effectively improve the power anomaly detection performance， so as to provide reference and reference for power data detection.关键词：electricity data;missing value completion;GAN;BiLSTM;anomaly detection
- 18
- |
- 7
- |
- 0
发布时间：2022-12-27 - 摘要：Facing the problem of flexible production scheduling under the cloud manufacturing model， propose a production scheduling framework under the cloud manufacturing model. The enterprise schedules its existing production tasks. The cloud platform matches the corresponding manufacturing tasks with idle manufacturing resources. The improved migratory bird algorithm is used to generate the production scheduling plan under the cloud manufacturing mode. The new algorithm proposedr is based on the initial migratory bird algorithm， improves the population coding method， uses three population initialization strategies， adopts a new evolution method and introduces variable neighborhood search to improve the algorithm’s global and local search capabilities. With the goal of optimizing the production efficiency of cloud manufacturing， a scheduling plan is generated. 10 commonly used flexible scheduling cases are used to calculate and solve.The results are compared with the commonly used genetic algorithm， particle swarm algorithm and other scholars’ algorithms to verify that the performance of the improved migratory bird algorithm is beneficial to increase the production rate and reduce production costs in the cloud manufacturing environment，therefore the Competitiveness of enterprises.关键词：cloud manufacturing;intelligent manufacturing;production scheduling;flexible scheduling;migratory bird algorithm;meta-heuristic algorithm
- 8
- |
- 3
- |
- 0
发布时间：2022-12-27 - 摘要：In order to solve the problem of autonomous navigation in large-scale complex substation environment with variable obstacles， a substation motion planning framework is designed， including the establishment of substation map， dynamic obstacle avoidance and local path planning， variable obstacles comparison and judgment.In this study， an HHA* path planning method based on hierarchical search spatial scale is proposed， which can effectively generate smooth and safe paths.The novelty of this work compared to existing methods is twofold： ①Proposing a new HHA* method consists of two phases.First， the substation space is divided into a coarse scale， and a conventional path is established to generate global goals.Then， a new heuristic function is used in the fine-scale search space to improve the smoothness of the generated path；②A new kind of obstacle called variable obstacle is proposed. Variable obstacle refers to passing through it from different directions and can present the characteristics of obstacle or non-obstacle.We verify the security， smoothness， flexibility and efficiency of the proposed method in a variety of complex simulation scenarios and challenging real-world scenarios.The results show that the computational efficiency is 1.83 times higher than that of the hybrid A* algorithm.In the global planning stage， it was 45.48% higher than mixed A*， 22.87% higher than QBC and 16.37% higher than TEB in the local stage.This method can effectively carry out inspection in large scale substation complex scene to meet the smoothness and security of the path planning.关键词：autonomous navigation;inspection robot;path planning;obstacles;HHA *;substation
- 12
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：Because the center of mass of the moving platform of the parallel robot for sand blasting and rust removal will change with the movement of the elevator， an adaptive global robust hyper spiral sliding mode control algorithm is proposed to realize high-performance trajectory tracking and control of metacentric mobile platforms. Firstly， according to the geometric position relationship between the centroid coordinates of the mobile platform and the trajectory tracking reference point， the centroid velocity equation is derived， and the dynamic model of the mobile platform considering the change of the centroid is established. Then， adaptive global robust super spiral sliding mode control algorithm is designed based on the model， and the super spiral sliding mode control is introduced into the global sliding mode surface to eliminate the approach phase， so as to ensure the global robustness of the system. Finally， the switching gain adaptive law is introduced to improve the convergence speed of the system. The experimental results show that the algorithm can not only enhance the robustness of the system， but also improve the dynamic quality of the trajectory tracking. The Lyapunov direct method is used to prove that the system can be gradually stable in limited time， which provides a new method to deal with the change of the center of mass of the mobile platform.关键词：mobile platform;centroid variation;global robust super-twisting sliding mode;switching gain adaptive law;mobile robot control
- 7
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：Aiming at the problem of sudden increase in transport load of belt conveyor causing emergency stop of permanent magnet synchronous motor， which in turn causes accidents such as belt breakage， a complementary terminal sliding mode control strategy based on disturbance compensation is proposed. First， a complementary terminal sliding mode controller based on a novel reaching law is designed by combining the generalized terminal sliding mode surface and the complementary terminal sliding mode surface to accelerate the response speed. Then， an extended sliding mode observer is used to estimate and compensate the total disturbance to reduce the impact on the system. Next， Lyapunov verifies the stability of the controller and the observer. Finally， the simulation results based on MATLAB/Simulink and the experimental results of the STM32-based platform show that the proposed method speeds up the regulation time by 0.06s and reduces the speed dip value by 26.5% when the load is suddenly added compared to the complementary sliding mode control. That is， the proposed method effectively improves the response speed， anti-disturbance capability and operational reliability of the belt conveyor direct-drive system.关键词：belt conveyor;permanent magnet synchronous motor;complementary terminal sliding mode control;extended sliding mode observer;Lyapunov;MATLAB/Simulink
- 8
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：In the working process of six-axis industrial robot， an modified grey wolf evolutionary optimal time trajectory planning algorithm with the introduction of nonlinear convergence factor and scaling factor is proposed for the problem of modifying the robot motion efficiency. Firstly， we take the time interval of robot motion as the optimization target， constrain the robot kinematics and dynamics， and use the fifth polynomial interpolation function for trajectory planning to simulate the motion state of the robot at each moment； secondly， we use the advantages of fast convergence and robustness of the grey wolf algorithm to propose a robot time-optimal trajectory optimization method based on the modified grey wolf evolutionary algorithm； Finally， the HW700 robot developed independently is used as the experimental object to verify that the algorithm can make the robot end motion smooth and optimal in time dimension， which modifies the robot productivity and service life and provides an effective basis for robot control.关键词：robot control;trajectory optimization;modified grey wolf evolutionary algorithm;nonlinear factor;industrial robots
- 7
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：To acquire the dynamic model of Stewart parallel mechanism， which can fully reflect its dynamic characteristics und fulfill real-time control， a time-delay estimation technique of the dynamic model of Steward parallel mechanism is designed to acquire its online dynamic model. To solve the uncertainty in the system of sandblasting and rust removal parallel robot， a model-free adaptive real power nonsingular terminal sliding mode control method of Stewart parallel mechanism is designed， the range of sliding surface parameters are broadened， by extending the exponential power of terminal sliding mode surface parameters from fractional power to real power， und realize the finite-time convergence， to improve the robustness of Stewart parallel mechanism. Furthermore， an adaptive law based on the sliding mode variables is designed to adjust the switch gain quickly in the real time to improve the adaptability of the system for the retraction of the active joints and the change of the load force， und weak the chattering caused by sliding mode control. The stability of the proposed control method is proved by Lyapunov stability theory. Simulation and experimental results show the effectiveness of the proposed control method.关键词：Stewart parallel mechanism;robot;model-free;real power nonsingular terminal slidng mode;adaptive
- 6
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：In the speed control system of permanent magnet synchronous motor （PMSM）， the current loop， as the inner loop， plays a decisive role in the servo system. Due to the problem of poor parameter robustness of conventional deadbeat predictive current control（C-DPCC）， a deadbeat predictive current control based on active disturbance rejection control（DPCC-ADRC） was proposed. Firstly， the parameter sensitivity of the conventional deadbeat predictive current control was analyzed. Secondly， an extended state observer（ESO） was proposed to observe and compensate the disturbance caused by motor parameter mismatch， predict the current and disturbance， and analyze the relationship between observer bandwidth and noise. The noise suppression and fast response ability of current loop were realized.The experimental results show that it has strong parameter robustness compared with the conventional deadbeat predictive current control.关键词：permanent magnetic synchronous motor;active disturbance rejection control;deadbeat control;parameter robustness;extended state observer
- 7
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：To solve the problem that automated guided vehicle （AGV） has a large number of turning points and detours in the assembly shop of small and medium-sized die-casting machine enterprises， an AGV path planning optimization algorithm based on A* algorithm and dynamic window approach （DWA） is proposed. First， extract the path node information planned by the A* algorithm， increase the node density of the path based on identifying and eliminating redundant paths， adjust the node coordinates by corner deviation， and reduce the turning angle； then use the proposed global direction evaluation function to modify the DWA algorithm to improve the stability of trolley driving. The simulation experiment results show that the improved A* algorithm shortens the path from 8.66 cm to 8.3 cm， and the maximum turning angle is reduced from 45° to 30°； the angular velocity of AGV driving in the workshop environment is reduced from ［0，0.5］ rad/s before improvement to concentrated at ［0，0.25］ rad/s after improvement， and the path smoothness is guaranteed； the successful AGV in the workshop dense area The passing rate is improved by 46%. it is verified that the improved algorithm provides a more reasonable path for AGVs in the die-casting machine assembly shop environment.关键词：AGV;A* algorithm;DWA;path planning;intelligent control
- 9
- |
- 3
- |
- 0
发布时间：2022-12-27 - 摘要：Aiming at the problems of redundant search nodes， low efficiency and limited moving direction of traditional A* path planning algorithm in the navigation process of automated guided vehicle （AGV） in factory environment， an improved A* path planning algorithm based on variable neighborhood is proposed. First， traditional 3 × 3 neighborhood search method is improved to 7 × 7 neighborhood search. At the same time， the variable neighborhood search method based on the endpoint vector further dynamically optimizes the search neighborhood range. Then， the cost function is optimized by combining the preset map and the current node information. Finally， the redundant path is optimized by interpolation method to increase the smoothness of the path. Experimental results show that compared with the traditional A* algorithm， this algorithm has significantly improved in path length， search efficiency， cumulative corner and other performance indicators. The proposed method provides a new idea for path planning algorithm.关键词：A* algorithm;AGV;path planning;variable neighborhood;mobile robots
- 6
- |
- 3
- |
- 0
发布时间：2022-12-27 - 摘要：For a hybrid mechanism for automobile electro-coating conveying considering performance， sliding mode control using an adaptive inertial gain dynamics based on time-delay estimation（TDE） is presented to improve the control accuracy of this system with uncertain dynamics in model parameters variation and external vibration abruptly. First， the dynamic model of hybrid mechanism with time-delay estimation has been obtained online thanks to a time-delay estimation（TDE） technique； Next， to overcome problems caused by uncertain problems， anon-singular fast terminal sliding mode control is introduced for forming the dynamical control algorithm based on TDE. Meanwhile， propose an new inertial gain adaptation together with the sliding variable and its derivative to realizing dynamic gain adjustment. The resulting adaptive inertial gian dynamics is combined with he dynamical control algorithm， which enables reduce negative effects of the hybrid mechanism， improve robust and convergence speed of the system.Then a Lyapunov theory is selected for analysis to prove the UUB of this system. Trough simulation with MATLAB and experiment using the prototype of hybrid mechanism for electro-coating conveyor， shows that the proposed method is effective.关键词：hybrid mechanism;time-delay estimation;sliding mode control;adaptive control;robot control
- 9
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：The applications of the Internet of things（IoT） play an important role in today’s society. IoT devices from different domains collaborate on the same task， and there is an urgent need for device identity authentication technology to ensure the security of IoT applications. In addition， the efficiency of identity authentication is low， due to the wide distribution of IOT devices， complex application scenarios， and large performance difference within devices. The existing authentication methods have some problems， such as high key management overhead and reliance on trusted third parties. Therefore， a distributed storage architecture for device identity authentication is proposed. The basic information of IOT devices is stored in the federated chain， a distributed IOT device identity authentication mechanism is proposed， and the detailed process of device registration federated chain and federation chain verification device is designed. The performance analysis of the proposed mechanism shows that the time for different devices to create blocks is less than 0.55s， IOT devices can join the federated chain， and the proposed identity authentication mechanism is effective.关键词：blockchain;federated chain;authentication;Internet of Things;smart contract
- 54
- |
- 9
- |
- 0
发布时间：2022-12-27 - 摘要：In order to improve the display efficiency of screen watermarking software and enhance the software adaptability， study the problem of minimum complete coverage of dual screens. By coordinating dual-screen combinations with different arrangement sequences and resolutions， analyzing the relative position distribution law， three different dual-screen complete coverage algorithms are proposed. Combined with the display efficiency of each algorithm under different dual-screen combinations， and through abstract modeling， the display efficiency calculation formula of each algorithm is obtained， and finally the left-right， upper-lower， upper-left， upper-left， left-right split-screen algorithm is a dual-screen minimum complete coverage algorithm. The research on the dual-screen minimum and complete coverage algorithm provides a reference for the realization of the multi-screen minimum and complete coverage.关键词：screen watermark;dual screen display;full coverage;minimal coverage
- 11
- |
- 2
- |
- 0
发布时间：2022-12-27 - 摘要：The development level of higher education is an important symbol of the national scientific and technological level and development potential. Higher education in Germany， where modern universities are given birth， has long influenced the development of modern global education. Majors in computer science of both the Sun Yat-sen University and the Technische Universität Kaiserslautern have histories of about half a century. The majors have established interdisciplinary talent training systems， and achieved remarkable teaching and research achievements and vigorous momentum of development. Integrated use of comparative research method and case analysis method， this paper concentrates on related professional talent training system in these two universities. Based on the historical evolution， subject development and talents cultivation characteristics， etc.， this paper analyzes the similarities and differences between computer science talent cultivation of the cases between the two countries， summarizes the higher education related managerial experience and advanced practices. It is expected to provide a reference for the innovative growth and the prospective development of the existing computer majors or newly established science and engineering majors in our country.关键词：interdiscipline;talent cultivation;Sun Yat-sen University;computer science;German higher education;Technische Universität Kaiserslautern
- 22
- |
- 15
- |
- 0
发布时间：2022-12-27 - 摘要：Simulation technical talents are an important part of national development strategies for key industries such as software and information technology services and intelligent manufacturing. At present， there are problems in the training of simulation technical talents， such as quality of teachers， teaching facilities， and gaps between teaching content and industrial demand. Beijing Internet Based Engineering Co.， Ltd. （IBE） explores a new path for the production-education integration in simulation technical talents training， by means of Collaborative Education Project on Industry-University Cooperation by the Ministry of Education， innovative digital textbooks and curriculum system， simulation engineer training system， etc.， and promote a large-scale training of simulation technical talents， supporting the manufacturing transformation and upgrading.关键词：simulation software;talent training;production-education integration;collaborative education;digital textbook;production practice
- 9
- |
- 9
- |
- 0
发布时间：2022-12-27 - 摘要：In order to better meet the demand of the future manufacturing industry for application-oriented and innovative talents， it is particularly important for colleges and universities to reform the teaching of relevant professional courses. Based on the concept of industry and education integration and collaborative education， this paper carries out the teaching reform research of industrial control network course of mechatronics major. it structures a progressive curriculum system of industry and education integration， establishes a practical teaching platform of industry and education integration of dual subjects university and enterprise， sets up a sharing university and enterprise collaborative education teaching team， and proposes a diversified course assessment and evaluation method. By building a teaching system of industry and education integration， it promotes the collaborative education of university and enterprise， and improves the talent training quality.关键词：mechatronics major;teaching reform;industry and education integration;collaborative education;talent training quality;industrial control network
- 16
- |
- 9
- |
- 0
发布时间：2022-12-27
- Technical support is provided by Beijing Founder electronics co., LTD 鄂ICP备12016542号-70
京公网安备11010802024621 - It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
- Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
0