Using GIS,GPS and GPRS,an intelligent monitoring and dispatch system of trucks and shovels in an open pit has been designed and developed.The system can monitor and dispatch open-pit trucks and shovels and play back t...Using GIS,GPS and GPRS,an intelligent monitoring and dispatch system of trucks and shovels in an open pit has been designed and developed.The system can monitor and dispatch open-pit trucks and shovels and play back their historical paths.An intelligent data algorithm is proposed in a practical application.The algorithm can count the times of deliveries of trucks and load- ings of shovels.Experiments on real scenes show that the performance of this system is stable and can satisfy production standards in open pits.展开更多
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
芯粒集成逐渐成为不同场景下敏捷定制深度学习芯片的高可扩展性的解决方案,芯片设计者可以通过集成设计、验证完成的第三方芯粒来降低芯片开发周期和成本,提高芯片设计的灵活性和芯片良率.在传统的芯片设计和商业模式中,编译器等专用软...芯粒集成逐渐成为不同场景下敏捷定制深度学习芯片的高可扩展性的解决方案,芯片设计者可以通过集成设计、验证完成的第三方芯粒来降低芯片开发周期和成本,提高芯片设计的灵活性和芯片良率.在传统的芯片设计和商业模式中,编译器等专用软件工具链是芯片解决方案的组成部分,并在芯片性能和开发中发挥重要作用.然而,当使用第三方芯粒进行芯片敏捷定制时,第三方芯粒所提供的专用工具链无法预知整个芯片的资源,因此无法解决敏捷定制的深度学习芯片的任务部署问题,而为敏捷定制的芯片设计全新的工具链需要大量的时间成本,失去了芯片敏捷定制的优势.因此,提出一种面向深度学习集成芯片的可扩展框架(scalable framework for integrated deep learning chips)--Puzzle,它包含从处理任务输入到运行时管理芯片资源的完整流程,并自适应地生成高效的任务调度和资源分配方案,降低冗余访存和芯粒间通信开销.实验结果表明,该可扩展框架为深度学习集成芯片生成的任务部署方案可自适应于不同的工作负载和硬件资源配置,与现有方法相比平均降低27.5%的工作负载运行延迟.展开更多
文摘Using GIS,GPS and GPRS,an intelligent monitoring and dispatch system of trucks and shovels in an open pit has been designed and developed.The system can monitor and dispatch open-pit trucks and shovels and play back their historical paths.An intelligent data algorithm is proposed in a practical application.The algorithm can count the times of deliveries of trucks and load- ings of shovels.Experiments on real scenes show that the performance of this system is stable and can satisfy production standards in open pits.
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%.
文摘芯粒集成逐渐成为不同场景下敏捷定制深度学习芯片的高可扩展性的解决方案,芯片设计者可以通过集成设计、验证完成的第三方芯粒来降低芯片开发周期和成本,提高芯片设计的灵活性和芯片良率.在传统的芯片设计和商业模式中,编译器等专用软件工具链是芯片解决方案的组成部分,并在芯片性能和开发中发挥重要作用.然而,当使用第三方芯粒进行芯片敏捷定制时,第三方芯粒所提供的专用工具链无法预知整个芯片的资源,因此无法解决敏捷定制的深度学习芯片的任务部署问题,而为敏捷定制的芯片设计全新的工具链需要大量的时间成本,失去了芯片敏捷定制的优势.因此,提出一种面向深度学习集成芯片的可扩展框架(scalable framework for integrated deep learning chips)--Puzzle,它包含从处理任务输入到运行时管理芯片资源的完整流程,并自适应地生成高效的任务调度和资源分配方案,降低冗余访存和芯粒间通信开销.实验结果表明,该可扩展框架为深度学习集成芯片生成的任务部署方案可自适应于不同的工作负载和硬件资源配置,与现有方法相比平均降低27.5%的工作负载运行延迟.
