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分层自适应神经模糊推理系统控制器；晶闸管控制串联电容器补偿技术；自动发电控制（AGC）；多目标粒子群优化算法；电力系统动态稳定性；相互联系的多源电力系统 1

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DEVELOPMENT OF AN AUTOMATIC WEIGHING PLATFORM FOR MONITORING BODYWEIGHT OF BROILER CHICKENS IN COMMERCIAL

《农业科学与工程前沿（英文）》 2023年第10卷第3期页码 363-373 doi: 10.15302/J-FASE-2023510

摘要：

● An automatic weighing system for monitoring bodyweight of broilers was developed.

关键词： automatic weighing weight monitoring floor housing uniformity precision poultry farming

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Innovation, practical benefits and prospects for the future development of automatic milking systems

Hongzhe JIANG,Wei WANG,Chunyang LI,Wei WANG

《农业科学与工程前沿（英文）》 2017年第4卷第1期页码 37-47 doi: 10.15302/J-FASE-2016117

摘要： Automatic milking systems (AMS) were designed to replace existing, labor-intensive machine milking and are an area of rapid development in modern dairy farming. The popularity of AMS lies in the convenience of management, decreasing workloads and the consistency of milking compared with non-automated machine milking. Nevertheless, this innovation has not been reviewed comprehensively and the practical benefits of AMS are still unclear. This review gives a brief overview of the historical development of milking machines and the workflow process of state-of-the-art AMS. In addition, a series of comparisons between AMS and current milking machines are made with respect to labor savings, quality parameters, udder health, herd behavior and mastitis detection and are summarized on the basis of relevant studies to show the benefits of the technological changes achieved by AMS. Finally, this review addresses several deficiencies in the technology and procedures of current AMS that need to be improved and also assesses recent advances in milking techniques with a particular focus on their potential for application in AMS.

关键词： automatic milking systems (AMS) innovation milking machine practical effect future prospects

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Multi-population particle swarm optimization algorithm for automatic design of steel frames

《结构与土木工程前沿（英文）》 2024年第18卷第1期页码 89-103 doi: 10.1007/s11709-024-1037-7

摘要： Steel structures are widely used; however, their traditional design method is a trial-and-error procedure which is neither efficient nor cost effective. Therefore, a multi-population particle swarm optimization (MPPSO) algorithm is developed to optimize the weight of steel frames according to standard design codes. Modifications are made to improve the algorithm performances including the constraint-based strategy, piecewise mean learning strategy and multi-population cooperative strategy. The proposed method is tested against the representative frame taken from American standards and against other steel frames matching Chinese design codes. The related parameter influences on optimization results are discussed. For the representative frame, MPPSO can achieve greater efficiency through reduction of the number of analyses by more than 65% and can obtain frame with the weight for at least 2.4% lighter. A similar trend can also be observed in cases subjected to Chinese design codes. In addition, a migration interval of 1 and the number of populations as 5 are recommended to obtain better MPPSO results. The purpose of the study is to propose a method with high efficiency and robustness that is not confined to structural scales and design codes. It aims to provide a reference for automatic structural optimization design problems even with dimensional complexity. The proposed method can be easily generalized to the optimization problem of other structural systems.

关键词： steel frame multi-population particle swarm optimization automatic structural optimization design

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An integrated framework for automatic green building evaluation: A case study of China

《工程管理前沿（英文）》 2024年第11卷第2期页码 269-287 doi: 10.1007/s42524-023-0274-0

摘要： With the burgeoning emphasis on sustainable construction practices in China, the demand for green building assessment has significantly escalated. The overall evaluation process comprises two key components: The acquisition of evaluation data and the evaluation of green scores, both of which entail considerable time and effort. Previous research predominantly concentrated on automating the latter process, often neglecting the exploration of automating the former in accordance with the Chinese green building assessment system. Furthermore, there is a pressing requirement for more streamlined management of structured standard knowledge to facilitate broader dissemination. In response to these challenges, this paper presents a conceptual framework that integrates building information modeling, ontology, and web map services to augment the efficiency of the overall evaluation process and the management of standard knowledge. More specifically, in accordance with the Assessment Standard for Green Building (GB/T 50378-2019) in China, this study innovatively employs visual programming software, Dynamo in Autodesk Revit, and the application programming interface of web map services to expedite the acquisition of essential architectural data and geographic information for green building assessment. Subsequently, ontology technology is harnessed to visualize the management of standard knowledge related to green building assessment and to enable the derivation of green scores through logical reasoning. Ultimately, a residential building is employed as a case study to validate the theoretical and technical feasibility of the developed automated evaluation conceptual framework for green buildings. The research findings hold valuable utility in providing a self-assessment method for applicants in the field.

关键词： automatic evaluation green building BIM web map service ontology inference application

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Phase change effect of low melting point metal for an automatic cooling of USB flash memory

Haoshan GE, Jing LIU

《能源前沿（英文）》 2012年第6卷第3期页码 207-209 doi: 10.1007/s11708-012-0204-z

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Image automatic mosaics based on contour phase correlation

ZHANG Jing, HU Zhiping, OU Zongying, LIU Zhitai

《机械工程前沿（英文）》 2007年第2卷第2期页码 228-234 doi: 10.1007/s11465-007-0040-8

摘要： The image planar mosaics is studied, and an image automatic mosaics algorithm on the basis of contour phase correlation is proposed in this paper. To begin with, by taking into account mere translations and rotations between images, a contour phase correlation algorithm is used to realize the preliminary alignments of images, and the initial projective transformation matrices are obtained. Then, an optimization algorithm is used to optimize the initial projective transformation matrices, and complete the precise image mosaics. The contour phase correlation is an improvement on the conventional phase correlation in two aspects: First, the contours of images are extracted, and the phase correlation is applied to the contours of images instead of the whole original images; Second, when there are multiple peak values approximate to the maximum peak value in the ? function array, their corresponding translations can be regarded as candidate translations and calculated separately, and the best translation can be determined by the optimization of conformability of two images in the overlapping area. The running results show that the proposed algorithm can consistently yield high-quality mosaics, even in the cases of poor or differential lighting conditions, existences of minor rotations, and other complicated displacements between images.

关键词： function conventional multiple algorithm correlation algorithm

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Fully automatic container terminals of Shanghai Yangshan Port phase IV

Jack Xunjie LUO

《工程管理前沿（英文）》 2019年第6卷第3期页码 457-462 doi: 10.1007/s42524-019-0053-0

摘要：

Engineering Owner: Construction Headquarters of Yangshan Deep-water Port Phase IV Project of Shanghai International Shipping Center

关键词： Yangshan Port automated equipment intelligent system container terminals port engineering

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Machine vision-based automatic fruit quality detection and grading

《农业科学与工程前沿（英文）》 doi: 10.15302/J-FASE-2023532

摘要：

● A machine vision-based prototype system was developed for fruit grading.

关键词： Computer and machine vision convolution neural network deep learning defective fruit detection fruit grading microcontroller

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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

《机械工程前沿（英文）》 2022年第17卷第2期 doi: 10.1007/s11465-022-0673-7

摘要： Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis. However, the tuning aiming at obtaining the well-trained CNN model is mainly manual search. Tuning requires considerable experiences on the knowledge on CNN training and fault diagnosis, and is always time consuming and labor intensive, making the automatic hyper parameter optimization (HPO) of CNN models essential. To solve this problem, this paper proposes a novel automatic CNN (ACNN) for fault diagnosis, which can automatically tune its three key hyper parameters, namely, learning rate, batch size, and L2-regulation. First, a new deep reinforcement learning (DRL) is developed, and it constructs an agent aiming at controlling these three hyper parameters along with the training of CNN models online. Second, a new structure of DRL is designed by combining deep deterministic policy gradient and long short-term memory, which takes the training loss of CNN models as its input and can output the adjustment on these three hyper parameters. Third, a new training method for ACNN is designed to enhance its stability. Two famous bearing datasets are selected to evaluate the performance of ACNN. It is compared with four commonly used HPO methods, namely, random search, Bayesian optimization, tree Parzen estimator, and sequential model-based algorithm configuration. ACNN is also compared with other published machine learning (ML) and deep learning (DL) methods. The results show that ACNN outperforms these HPO and ML/DL methods, validating its potential in fault diagnosis.

关键词： deep reinforcement learning hyper parameter optimization convolutional neural network fault diagnosis

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Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

《机械工程前沿（英文）》 2006年第1卷第3期页码 313-316 doi: 10.1007/s11465-006-0026-y

摘要： It is a very important task to automatically fix the number of die in the image recognition system of a fully automatic die bonder. A multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposed in this paper. In the evolutionary process of GA, a clustering method is provided that utilizes information from the template and the fitness landscape of the current population. The whole population is grouped into different niches by the clustering method. Experimental results demonstrated that the number of target images could be determined by the algorithm automatically, and multiple targets could be recognized at a time. As a result, time consumed by one image recognition is shortened, the performance of the image recognition system is improved, and the atomization of the system is fulfilled.

关键词： clustering different recognition algorithm Algorithm multiobjective

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Self-propelled automatic chassis of Lunokhod-1: History of creation in episodes

Mikhail MALENKOV

《机械工程前沿（英文）》 2016年第11卷第1期页码 60-86 doi: 10.1007/s11465-016-0370-5

摘要：

This report reviews the most important episodes in the history of designing the self-propelled automatic chassis of the first mobile extraterrestrial vehicle in the world, Lunokhod-1. The review considers the issues in designing moon rovers, their essential features, and the particular construction properties of their systems, mechanisms, units, and assemblies. It presents the results of exploiting the chassis of Lunokhod-1 and Lunokhod-2. Analysis of the approaches utilized and engineering solutions reveals their value as well as the consequences of certain defects.

关键词： moon rover self-propelled chassis propulsion wheel suspension soil properties cross-country ability

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Proportional directional valve based automatic steering system for tractors Project supported

Jin-yi LIU,Jing-quan TAN,En-rong MAO,Zheng-he SONG,Zhong-xiang ZHU

《信息与电子工程前沿（英文）》 2016年第17卷第5期页码 458-464 doi: 10.1631/FITEE.1500172

摘要： Most automatic steering systems for large tractors are designed with hydraulic systems that run on either constant flow or constant pressure. Such designs are limited in adaptability and applicability. Moreover, their control valves can unload in the neutral position and eventually lead to serious hydraulic leakage over long operation periods. In response to the problems noted above, a multifunctional automatic hydraulic steering circuit is presented. The system design is composed of a 5-way-3- position proportional directional valve, two pilot-controlled check valves, a pressure-compensated directional valve, a pressurecompensated flow regulator valve, a load shuttle valve, and a check valve, among other components. It is adaptable to most open-center systems with constant flow supply and closed-center systems with load feedback. The design maintains the lowest pressure under load feedback and stays at the neutral position during unloading, thus meeting the requirements for steering. The steering controller is based on proportional-integral-derivative (PID) running on a 51-microcontroller-unit master control chip. An experimental platform is developed to establish the basic characteristics of the system subject to stepwise inputs and sinusoidal tracking. Test results show that the system design demonstrates excellent control accuracy, fast response, and negligible leak during long operation periods.

关键词： Automatic steering system Hydraulic circuit Proportional directional valve Proportional-integral-derivative (PID) control

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Regenerative braking control strategy in mild hybrid electric vehicles equipped with automatic manual

QIN Datong, YE Ming, LIU Zhenjun

《机械工程前沿（英文）》 2007年第2卷第3期页码 364-369 doi: 10.1007/s11465-007-0064-0

摘要： The actual regenerative braking force of an integrated starter/generator (ISG), which is varied with desired braking deceleration and vehicle speed, is calculated based on an analysis of the required deceleration, maximum braking force of ISG, engine braking force and state of charge (SOC) of battery. Braking force distribution strategies are presented according to the actual regenerative braking force of ISG. To recover the vehicle s kinetic energy maximally, braking shift rules for a mild hybrid electric vehicle (HEV) equipped with automatic manual transmission (AMT) are brought forward and effects of transmission ratios are considered. A test-bed is built up and regenerative braking tests are carried out. The results show that power recovered by the braking shift rules is more than that recovered by the normal braking control rules.

关键词： SOC Braking battery regenerative braking starter/generator