A job shop scheduling problem with a combination processing in complex production environment is proposed. Based on the defining of ＂non-elastic combination processing relativity＂ and ＂virtual process＂, the proble...A job shop scheduling problem with a combination processing in complex production environment is proposed. Based on the defining of ＂non-elastic combination processing relativity＂ and ＂virtual process＂, the problem can be simplified and transformed to a traditional one. On the basis of the dispatching rules select engine and considered factors of complex production environment, a heuristic method is designed. The algorithm has been applied to a mould enterprise in Shenzhen for half a year. The practice showed that by using the method suggested the number of delayed orders was decreased about 20% and the productivity was increased by 10 to 20%.展开更多
调度命令是铁路运输调度指挥工作的核心指令,准确、快速地传达调度命令,是保障铁路系统在复杂运营环境中安全、高效、有序运转的前提条件。目前,铁路运输生产中存在诸多书面调度命令传递的场景,需要由人工读取书面调度命令信息,并完成...调度命令是铁路运输调度指挥工作的核心指令,准确、快速地传达调度命令,是保障铁路系统在复杂运营环境中安全、高效、有序运转的前提条件。目前,铁路运输生产中存在诸多书面调度命令传递的场景,需要由人工读取书面调度命令信息,并完成相关数据录入,耗时费力、效率较低,且易出现信息错误录入和漏传等问题。基于书面调度命令的特点,文章研究书面调度命令信息智能识别与提取方法,将图像分割处理与经典光学字符识别(OCR,Optical Character Recognition)算法相结合,增强对表格结构和文本内容的识别能力,更为精确地分割、定位和识别书面调度命令中的文字信息;并结合调度命令模板和用语规范,完成关键信息的提取。实验结果表明,在字符识别前先进行表格分割处理,对于提高调度命令文字识别准确率效果显著,便于后续调度命令结构化数据的自动提取。展开更多
研究声学信息处理技术在煤矿井下辅助运输车辆调度系统中的应用。通过部署微机电系统(Micro-Electro-Mechanical System,MEMS)声学传感器阵列采集车辆声学特征信号,结合改进的广义互相关-相位变换定位算法和深度残差网络识别模型,实现...研究声学信息处理技术在煤矿井下辅助运输车辆调度系统中的应用。通过部署微机电系统(Micro-Electro-Mechanical System,MEMS)声学传感器阵列采集车辆声学特征信号,结合改进的广义互相关-相位变换定位算法和深度残差网络识别模型,实现高精度的车辆定位与状态监测。实验结果表明,声学信息处理技术在定位精度、载重识别准确率、环境适应性等方面均显著优于传统超高频射频识别(Ultra High Frequency Radio Frequency Identification,UHF RFID)技术。展开更多
基金Supported by Research Fund for the Doctoral Program of Higher Education of China(20060487072)National Key Technology R&D Program(2006BAF01A43)
文摘A job shop scheduling problem with a combination processing in complex production environment is proposed. Based on the defining of ＂non-elastic combination processing relativity＂ and ＂virtual process＂, the problem can be simplified and transformed to a traditional one. On the basis of the dispatching rules select engine and considered factors of complex production environment, a heuristic method is designed. The algorithm has been applied to a mould enterprise in Shenzhen for half a year. The practice showed that by using the method suggested the number of delayed orders was decreased about 20% and the productivity was increased by 10 to 20%.
文摘调度命令是铁路运输调度指挥工作的核心指令,准确、快速地传达调度命令,是保障铁路系统在复杂运营环境中安全、高效、有序运转的前提条件。目前,铁路运输生产中存在诸多书面调度命令传递的场景,需要由人工读取书面调度命令信息,并完成相关数据录入,耗时费力、效率较低,且易出现信息错误录入和漏传等问题。基于书面调度命令的特点,文章研究书面调度命令信息智能识别与提取方法,将图像分割处理与经典光学字符识别(OCR,Optical Character Recognition)算法相结合,增强对表格结构和文本内容的识别能力,更为精确地分割、定位和识别书面调度命令中的文字信息;并结合调度命令模板和用语规范,完成关键信息的提取。实验结果表明,在字符识别前先进行表格分割处理,对于提高调度命令文字识别准确率效果显著,便于后续调度命令结构化数据的自动提取。
文摘研究声学信息处理技术在煤矿井下辅助运输车辆调度系统中的应用。通过部署微机电系统(Micro-Electro-Mechanical System,MEMS)声学传感器阵列采集车辆声学特征信号,结合改进的广义互相关-相位变换定位算法和深度残差网络识别模型,实现高精度的车辆定位与状态监测。实验结果表明,声学信息处理技术在定位精度、载重识别准确率、环境适应性等方面均显著优于传统超高频射频识别(Ultra High Frequency Radio Frequency Identification,UHF RFID)技术。
