会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 6. 发明申请
    • Method and system for improved implementation of maintenance routines in a productive system
    • 在生产系统中改进维护程序实施的方法和系统
    • US20070003324A1
    • 2007-01-04
    • US11174376
    • 2005-06-30
    • Eric GrossPalghat RameshBarrett GadyEric Hamby
    • Eric GrossPalghat RameshBarrett GadyEric Hamby
    • G03G15/08
    • G03G15/0844
    • The presently described embodiments relate to improving system productivity where maintenance purge routines are required through use of a digital front end (DFE) job scheduler. This approach utilizes knowledge of future jobs to maximize productivity. So, even if a low coverage area job is being processed, and a purge routine is scheduled, the purge routine may be avoided. This is achieved by projecting the system evolution over a future time horizon and determining the schedule of toner purge events (a non productive dead cycle) to minimize a cost function that penalizes the purge event (dead cycling and material loss should be minimized) and the deviation of average toner resident time in the sump from some desired set point of range. In this regard, knowledge that a high coverage area job is downstream and average toner residient time may be advantageously used to effectively perform the purge itself while in productive mode. The system gains knowledge of whether low coverage area jobs or high coverage area jobs are pending by using information stored within the print job file (e.g., a page description language job file). For example, a page description language (PDL) file typically includes information on the area coverage trajectory over time. This will allow a system to generate a predictive model which can constantly recalculate statistics based on knowledge of currently running jobs, new jobs or a change in customer criteria.
    • 目前描述的实施例涉及通过使用数字前端(DFE)作业调度器来提高需要维护清除程序的系统生产率。 这种方法利用未来工作的知识来最大限度地提高生产率。 因此,即使正在处理低覆盖面积的作业,并且排除了清除程序,可以避免清除程序。 这是通过在未来的时间范围内投射系统进化并确定调色剂清除事件(非生产性死循环)的时间表来实现的,以最小化惩罚清除事件的成本函数(死循环和材料损失应被最小化),并且 水槽中的平均调色剂驻留时间与某个所需的设定范围的偏差。 在这方面,可以有利地使用高覆盖面积作业在下游和平均调色剂滞留时间的知识来在生产模式下有效地执行清洗本身。 通过使用存储在打印作业文件内的信息(例如,页面描述语言作业文件),系统获得关于低覆盖面积作业或高覆盖面积作业是否待定的知识。 例如,页面描述语言(PDL)文件通常包括随时间的区域覆盖轨迹的信息。 这将允许系统生成预测模型,该预测模型可以基于当前运行的作业,新作业或客户标准变化的知识不断地重新计算统计数据。
    • 10. 发明授权
    • Method and system for improved implementation of maintenance routines in a productive system
    • 在生产系统中改进维护程序实施的方法和系统
    • US07415229B2
    • 2008-08-19
    • US11174376
    • 2005-06-30
    • Eric GrossPalghat RameshBarrett GadyEric Hamby
    • Eric GrossPalghat RameshBarrett GadyEric Hamby
    • G03G15/08
    • G03G15/0844
    • The presently described embodiments relate to improving system productivity where maintenance purge routines are required through use of a digital front end (DFE) job scheduler. This approach utilizes knowledge of future jobs to maximize productivity. So, even if a low coverage area job is being processed, and a purge routine is scheduled, the purge routine may be avoided. This is achieved by projecting the system evolution over a future time horizon and determining the schedule of toner purge events (a non productive dead cycle) to minimize a cost function that penalizes the purge event (dead cycling and material loss should be minimized) and the deviation of average toner resident time in the sump from some desired set point of range. In this regard, knowledge that a high coverage area job is downstream and average toner residient time may be advantageously used to effectively perform the purge itself while in productive mode. The system gains knowledge of whether low coverage area jobs or high coverage area jobs are pending by using information stored within the print job file (e.g., a page description language job file). For example, a page description language (PDL) file typically includes information on the area coverage trajectory over time. This will allow a system to generate a predictive model which can constantly recalculate statistics based on knowledge of currently running jobs, new jobs or a change in customer criteria.
    • 目前描述的实施例涉及通过使用数字前端(DFE)作业调度器来提高需要维护清除程序的系统生产率。 这种方法利用未来工作的知识来最大限度地提高生产率。 因此,即使正在处理低覆盖面积的作业,并且排除了清除程序,可以避免清除程序。 这是通过在未来的时间范围内投射系统进化并确定调色剂清除事件(非生产性死循环)的时间表来实现的,以最小化惩罚清除事件的成本函数(死循环和材料损失应被最小化),并且 水槽中的平均调色剂驻留时间与某个所需的设定范围的偏差。 在这方面,可以有利地使用高覆盖面积作业在下游和平均调色剂滞留时间的知识来在生产模式下有效地执行清洗本身。 通过使用存储在打印作业文件内的信息(例如,页面描述语言作业文件),系统获得关于低覆盖面积作业或高覆盖面积作业是否待定的知识。 例如,页面描述语言(PDL)文件通常包括随时间的区域覆盖轨迹的信息。 这将允许系统生成预测模型,该预测模型可以基于当前运行的作业,新作业或客户标准变化的知识不断地重新计算统计数据。