Improving accuracy of automatic optical inspection with machine learning

Electronic devices require the printed circuit board(PCB)to support the whole structure,but the assembly of PCBs suffers from welding problem of the electronic components such as surface mounted devices(SMDs)resistors.The automated optical inspection(AOI)machine,widely used in industrial production,can take the image of PCBs and examine the welding issue.However,the AOI machine could commit false negative errors and dedicated technicians have to be employed to pick out those misjudged PCBs.This paper proposes a machine learning based method to improve the accuracy of AOI.In particular,we propose an adjacent pixel RGB value based method to pre-process the image from the AOI machine and build a customized deep learning model to classify the image.We present a practical scheme including two machine learning procedures to mitigate AOI errors.We conduct experiments with the real dataset from a production line for three months,the experimental results show that our method can reduce the rate of misjudgment from 0.3%–0.5%to 0.02%–0.03%,which is meaningful for thousands of PCBs each containing thousands of electronic components in practice.     

Weighted preliminary-summation-based principal component analysis for non-Gaussian processes

For industrial chemical process, preliminary-summation-based principal component analysis (PS-PCA), an amended PCA method was recently provided for coping with both Gaussian and non-Gaussian characteristics. By summing the training and monitoring data respectively, PS-PCA is capable of resolving the issue of non-Gaussian processes and achieves higher fault detection rate than the traditional PCA. However, in the PS-PCA summation operation, all data samples are regarded as the same weight, which results in the fault information of newly-samples may be diluted, leading to significant detection delays. To address this challenge, in this paper, we propose a novel weighted PS-PCA (WPS-PCA) method that employs an exponential weighting scheme to put more emphasis on recent information. Subsequently, a mathematical argument demonstrates that when the number of variables is enough plentiful, the obtained summation combined with the generalized central limit theorem conforms to approximately a Gaussian distribution. The kurtosis relationships indicate this conversion will bring out well-pleasing feasibility for conventional PCA. Ultimately, the proposed technique verifies detection performance using the Tennessee Eastman process, which is compared with the existing PCA and PS-PCA schemes, in terms of the fault detection time and fault detection rate. The simulation studies reveal that the proposed method is efficient and superior.     

地理标志产品镇江香醋标准符合性验证分析

目的从理化指标、特征有机酸以及检验方法等对2018年江苏镇江地理标志产品镇江香醋进行标准验证。方法对5个质量等级,共计20批次镇江香醋样品进行抽检,采用GB/T 18623-2011标准对特征性成分进行分析检测,并对检验标准进行验证。结果镇江香醋5个等级产品理化特性均符合标准规定,未检测到致病菌,菌落总数以及大肠菌群均未超过标准规定的限量要求;重金属铅和总砷、真菌毒素黄曲霉毒素B_1以及食品添加剂苯甲酸和山梨酸均符合标准规定技术限量要求;具有镇江香醋标志性特征有机酸(乳酸、乙酸、焦谷氨酸和琥珀酸),且随着等级要求越高,其有机酸含量越高。结论镇江香醋特征性成分完全符合其标准规定要求,镇江香醋标准与国家强制性标准一致,建议可对有机酸的液相检测方法进行优化,尝试离子排斥色谱柱或耐酸C_(18)柱,以满足镇江香醋有机酸液相检测更高的分析要求。     

果蔬汁中氯氰菊酯、多效唑、哒螨灵含量测定能力验证结果分析

目的分析果蔬汁中氯氰菊酯、多效唑、哒螨灵含量测定能力验证结果。方法本实验室参加中国检验检疫科学研究院测试评价中心组织的果蔬汁中氯氰菊酯、多效唑、哒螨灵的测定能力验证(ACAS-PT806-2019),根据能力验证作业指导书要求和样品情况,采用了QuEChERS样品前处理净化方案,气相色谱电子捕获检测器检测氯氰菊酯,内标法定量,液相色谱串联质谱检测多效唑和哒螨灵,外标法定量。结果 1号样品中氯氰菊酯、多效唑、哒螨灵残留量分别为0.098、0.043、0.084 mg/kg, 2号样品中氯氰菊酯、多效唑、哒螨灵残留量分别为:0.036、未检出、0.013 mg/kg。所有测定项目结果均为满意(|Z|≤2)。结论实验室解决了此次能力验证中没有空白样品,检测项目基质效应差异明显等难点。实验室农药残留检测能力得到有效验证和提高。     

黔北桑木场背斜铅锌矿深部找矿实例分析*#br#

黔北桑木场背斜位于上扬子地块黔北隆起区毕节弧形褶皱带与赤水克拉通盆地的交汇部位，属于有利的铅锌成矿区带。区内铅锌矿的赋矿层位主要有震旦系灯影组、寒武系清虚洞组、高台组及石冷水组，矿体多产于背斜核部并受断层或裂隙控制。通过对地层岩性特征、地表矿化特征、控容矿构造特征、化探异常特征、物探异常特征等进行综合研究，选择在成矿有利地段进行了工程验证，为进一步开展桑木场背斜铅锌矿深部找矿工作提供了思路。     

气压仪器检定装置的升级改造

文章针对气压检定装置在使用中存在的一些问题,会同厂家对其进行了升级改造。介绍了改造后的气压检定装置的设计原理、软件和硬件设计以及技术指标等,新装置集成了目前先进的计量设备及技术,编写相应的程序软件升级改造而成。可广泛适用于气象部门空盒气压表、自动站气压传感器以及部分数字压力计的计量检定工作,实现气压检定工作的自动化,提高检定数据的准确性和可靠性,并有效提高检定的工作效率。     

两种多层穿梭车系统的性能比较分析

物流配送中心订单响应速度的加快,对订单拣选系统提出了更高的要求。多层穿梭车系统因其柔性强、效率高等特点,近年来得到了广泛应用。多层穿梭车系统具有两种形式--基于转载车和基于环形输送线,二者均可实现货物的快速拣选,但在系统吞吐量和订单完成周期方面存在差异,致使企业决策者难以进行系统选择。基于上述原因,本文比较两种多层穿梭车系统的性能差异。建立两个系统的开环排队网络模型,然后求解系统吞吐量、订单完成周期,通过仿真验证了排队论模型的准确性,通过试验对两种系统的性能进行对比分析。结果表明,系统吞吐量与层数、巷道数相关,层数越多,巷道数越少,转载车系统相对于环线系统优势越显著;订单完成周期与层数、订单到达率相关,层数越多,订单到达率越低,转载车系统相对于环线系统越具优势。     

Adaptive robust control of fully-constrained cable driven parallel robots

In this paper, adaptive robust control (ARC) of fully-constrained cable driven parallel robots is studied in detail. Since kinematic and dynamic models of the robot are partly structurally unknown in practice, in this paper an adaptive robust sliding mode controller is proposed based on the adaptation of the upper bound of the uncertainties. This approach does not require pre-knowledge of the uncertainties upper bounds and linear regression form of kinematic and dynamic models. Moreover, to ensure that all cables remain in tension, proposed control algorithm benefit the internal force concept in its structure. The proposed controller not only keeps all cables under tension for the whole workspace of the robot, it is chattering-free, computationally simple and it does not require measurement of the end-effector acceleration. The stability of the closed-loop system with proposed control algorithm is analyzed through Lyapunov second method and it is shown that the tracking error will remain uniformly ultimately bounded (UUB). Finally, the effectiveness of the proposed control algorithm is examined through some experiments on a planar cable driven parallel robot and it is shown that the proposed controller is able to provide suitable tracking performance in practice.