CN1216621A - 监视材料使用,控制和监视材料输送及提供输送材料的自动记帐的集成系统 - Google Patents
监视材料使用,控制和监视材料输送及提供输送材料的自动记帐的集成系统 Download PDFInfo
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Abstract
一个系统和方法包括把材料提供给各客户位置处多个罐的一队车辆。一个与每个罐相联的存货指示器向中心站提供一个指示每个罐的数量和温度的数量信号。一个在中心站处的处理器监视每个罐的数量信号,以确定每个罐的内含物的过去用量速率。处理器根据过去用量模式确定未来罐量,并且为到每个罐的每台车辆确定可能的路线。处理器根据计划的未来罐液位和派发每台车辆的可能路线,优化路线、输送量、和输送时间表,以使产品的总输送成本最小。
Description
本发明一般涉及存货管理系统和方法,这些系统和方法与通过零售商管理的存货的自动产品补充有关。具体地说,本发明涉及一种监视存储在罐中的材料的使用、控制和监视材料到罐的输送、及通过罐、中心站、和输送卡车之间的通信提供输送材料自动记帐的集成系统。
存货管理在先有技术中是已知的。例如,液化气工业具有一种使用遥测系统以监视客户体积的气体输送系统。这种系统的目的在于,提供基本连续的产品供给。然而,这种系统不易适用于其他行业,如动物饲料的生产和供给。
其他系统定义了当达到诸如某一罐液位的触发点时而需要自动强制再订货的诸触发点。这种系统没有优化输送路线或成本,因为只产生强制订货。强制订货是一种必须输送以防缺货的订货,而任意订货是一种对供给商经济时能输送的订货。而且,这种系统不灵活,并且不适应任意订货。
没有自动存货管理,现场管理者必须确定:何时需要产品、需要多少产品、何时应该输送产品、及应该如何管理料罐。管理者把定单电话通知或传真给供给商,指定输送日期或数量。管理者保持控制,并且对现场原材料用尽造成的停工时间承担责任。当存货管理成为自动时,控制的这种失败似乎可以既向现场管理者报警又向采购代理人报警。然而,在自动存货系统中,如本发明,软件和设备保证产品始终在罐中,同时允许客户通过为每个单独现场建立定制的输送参数而保持控制。
本发明的一个目的在于提供一种存货管理系统,该存货管理系统减少原材料缺货、消除产品订货、检测路线流动失效和温度相关的流动问题,改进原材料输送服务、及改进现场工作者安全性。
本发明的另一个目的在于提供一种存货管理系统,该存货管理系统保存历史用量数据,并且能够预测未来的用量。
本发明的另一个目的在于提供一种存货管理系统,该存货管理系统提供了简化的记帐,并且减少了书面工作。
本发明的另一个目的在于提供一种存货管理系统,该存货管理系统采用专用的输送设备,由此消除了油罐车的洗涤和典型非专用车队的有关废物处理。
本发明的另一个目的在于提供一种存货管理系统,该存货管理系统减少了在输送期间的溢出、过满和污染,及由于订货量不准确在卡车上有返回剩余物的可能性。
本发明的另一个目的在于提供一种存货管理系统,该存货管理系统消除了所需的数千个桶和/或搬运箱、以及与容器处理和再用有关的环境义务。
本发明的另一个目的在于提供一种连续存货监视设备,该设备具有用于液体存储设备的泄漏检测能力,由此为客户准备未来管理柔量(compliance)。
本发明的另一个目的在于提供一种系统,该系统通过消除需要雇员爬上梯子、台阶等测量存货而减少了受伤的危险,并且还消除了对存货管理的推测工作和人为误差。
本发明的另一个目的在于提供连续可用的存货信息,而不管是何时或天气情况。
本发明的另一个目的在于提供一种连续用量监视系统,该系统生成准确的用量历史,以与期望的产品用量协调、和检测高成本的原材料过量或缺量。
本发明的另一个目的在于提供一种存货管理系统,该存货管理系统包括温度监视,以在极冷的天气减少高成本的系统停工时间。
本发明的另一个目的在于经济地输送比卡车装载量小的原材料、和处理预报的订货,以使供给商补充罐存货的成本最小。
在一种形式中,该系统与一队车辆一起使用,以把材料提供给在各个客户位置处的多个罐。该系统包括:一个中心站;一个存货指示器,它与每个罐相联且向中心站提供一个指示每个罐中的数量的数量信号;及一个在中心站处的处理器。该处理器从存货指示器收集和存储信息,监视每一个罐的数量信号以确定每个罐的内含物的过去用量速率,根据确定的过去用量速率计划每个罐的未来罐量,为到每个罐的每台车辆确定可能的路线,根据计划的未来罐量和使输送成本最小的可能路线为每台车辆优化路线、输送量、和输送时间表,及按照其优化的路线和输送时间表派发每台车辆。
在另一种形式中,该系统用来把材料提供给在各个客户位置处的多个罐。该系统包括:把材料提供给多个罐的一队车辆;一个中心站;一个存货指示器,它与每个罐相联且向中心站提供一个指示每个罐中的数量的数量信号;及一个在中心站处的处理器。该处理器用于:从存货指示器收集和存储信息;监视每一个罐的数量信号以确定每个罐的内含物的过去用量速率;根据确定的过去用量速率计划每个罐的未来罐量;为到每个罐的每台车辆确定可能的路线;根据计划的未来罐量和使输送成本最小的可能路线,为每台车辆优化路线、输送量、和输送时间表;及按照其优化的路线和输送时间表派发每台车辆。
系统的另一个目的在于,选择性地为供给商预报需要的产品,以优化生产。
其他目的和特征部分是明显的,而部分将在下文指出。
图1是主要以方块图形式表明根据本发明一种集成存货管理系统的一个最佳实施例。
图2是根据本发明的集成存货管理系统的中心站的一个最佳实施例的方块图。
图3是信息的方块图形式的流程图,该信息由操作者和由动态消耗类别分配算法程序使用,该程序根据罐的过去用量给每个罐指定一个消耗类别。
图4是罐的纵剖面,表明与本发明的系统有关的不同罐液位。
图5是曲线图,表明作为根据本发明的系统一部分的一个示范罐的关于时间的存货,表示本发明的系统把罐液位保持在最小存货液位以上而在罐的容量以下。
在整个附图中相应的参考符号指示相应的部分。
如图1中所示,根据本发明的集成系统100通过合并多个位置的整个供给链过程来成功地管理原材料存货,每个位置有一个材料消耗站102。一般,几个罐104把液体原材料供给到每个站102以便能够连续运行。供给管路106互连供给站102的罐104,从而可以在适当液位按要求供给每种原材料。每个站102连续、不间断的运行取决于在每个和各个罐104中保持的存货从而能满足每个站的所有需要。本发明的集成存货管理系统100保持罐存货104以允许这种连续的、不间断的运行。
每个罐104包括一个诸如液位传感器108之类的存货测量装置,如由Electronic Sensors,Inc.(电子传感器股份有限公司)制造的超声波液位检测器,以产生指示每个罐104中存货的数量信号。此外,每个罐装有一个或多个热电偶之类的温度传感器110,用来监视每个罐或供给管路106的内含物的温度。由温度传感器110产生的温度信号以及由液位传感器108产生的数量信号提供给一个远程遥测单元(RTU)112,远程遥测单元112编程以经由标准音频电话线或其他传送连接(例如蜂窝电话、卫星)将信息传送到一个中心站114。结果,RTU112把液位和温度信息提供给中心站。信息可以定期地自动提供给中心站,或者可以通过来自中心站的询问而得到。例如,中心站包括一个处理器(见图2),该处理器通过在输送之后询问罐来收集和存储来自液位传感器108和温度传感器110的信息,以肯定已经进行了输送。RTU可以选择性装有一个地方显示器,从而在现场的客户可以监视各种液位和温度。当标准音频电话线用来互连RTU 112和中心站114时,如在先有技术中所众所周知的那样,可以采用用于数据传送的高速调制解调器。在有线电话线不实际的地方,可以使用与高速调制解调器联结的无线电通信技术,以把液位/温度信息提供给中心站114。在中心站处,使用信息系统收集遥测数据,该信息系统存储、分析、和报告存货和用量模式,如下面详细描述的那样。
根据具体现场的历史消耗模式和关于未来变化的可用信息,预计在每个站102处的材料消耗。中心站114根据现场存货和现场接收特性最优地计划产品输送。结果,将向罐104的原材料输送定制为适合具体站102的具体需要。中心站114向一个发货终端116提供路线和定货信息。一个在中心站114处的调度员监督一队车辆118,以便把各种产品输送到罐104。订货可以是要求在一定日期之前输送以避免罐的液位降到最小液位以下的强制订货,也可以是调度员可以选择填充的任意定货。
中心站114包括预测软件(如由Manugistics,Inc.提供的BulkCommodity Distribution),以便根据在每个具体现场处的唯一用量模式,准确地预计期望的用量和要求的输送日期。此外,预测的消耗值能由消耗模式的已知变化来调节。这就消除了紧急输送和缺货的可能性。一般地,中心站114由日常可以利用系统数据进行分析的供给商操作和预计结果,以便预先主动地警告每个客户能引起生产问题的可能故障。中心站114例行地向客户120提供发票和用量信息。
每台车辆118装有一个卫星通信系统119,卫星通信系统119包括由一个辐射透明盖121防护的一个盘120。系统119利用全球定位系统向一个卫星系统122(如由Qualcomm,Incorporated供给的QTRACS)指示车辆118的位置。该信息又由卫星122中转给连接到中心站114(例如,通过电话线)上的一个接收站123,从而中心站114知道每台和各台车辆118的位置。
每台卡车118装有一个政府认为合格的测量仪器124,以便准确地输送正确量的产品。在每个位置处输送的产品量传送到中心站114。在一个实施例中,测量仪器124直接连接到卫星链120上,以自动地提供这种信息。要不然,设想车辆司机可以带有一个键盘(未表示),以便输入能经卫星链120和卫星122传送到中心站114的输送信息。可以设想,例行地处理在一条路线上的每台车辆的多个站,并且多个站,如果不是全部的话,可能包含小于卡车装载量数量的输送液体。在车辆118与中心站114之间提供信息的双向通信卫星系统,除了向中心站114及时提供关于输送状态和卡车位置的信息之外,还保证向客户126立即记帐准确量的输送产品。在有天气、道路或设备问题的情况下,中心站114得到通知,从而能立即采取措施以保证可靠、按时的产品输送。
根据具体现场的历史消耗模式和关于未来变化的可用信息,预计产品消耗。根据现场存货和现场接收特性,采用诸如可从Manugistics买到的Bulk Commodity Distribution(BCD)之类的软件,为每个现场最佳地计划产品输送。
图2是中心站114的功能方块图。一个处理器202或其他计算机控制中心站114的运行。尽管设想处理器202可以带有一个内部时钟和内部存储器,但功能方块图表明一个独立的时钟204和独立的存储器,这些将在以下更详细地描述。处理器202接收由监视器108、110产生的数量/温度信号,从而处理器供有指示每个罐104的液位和温度的数据。这种存货信息存储在存货存储器206中,从而每个罐的当前液位和温度信息能立即知道,并且可由和经处理器202访问。此外,随着存货存储器206由处理器202更新,把过去用量信息存储在存储器208中,从而每个罐104的过去用量模式得以监视,并且可用于处理器202估计确定每个罐内含物的过去用量速率。
存储器210包括由处理器202通过计划指令212采用算法(例如,BCD预测算法)产生的未来使用计划。这些指令212是估计由存储器206所指示的当前存货、且估计由存储器208所指示的过去用量以根据当前存货和过去用量速率来计划每个罐的未来罐量的软件。指令212进一步考虑已经存储在未来使用计划存储器210中、可能影响罐104内产品未来用量的任何特定因素。例如,这样的软件可以考虑如下因素:季节性停工、定期维修、每周需求模式、或竞争性轮回(客户由多于一个供给商轮回供给)。处理器202使用预测信息以优化总输送成本。这可以通过使用优化算法(例如,BCD问题求解算法)来完成,优化算法为确定路线和计划估计各种方案,并且确定具体的方案,具体的方案使总输送成本最低,同时保持所有罐补充有最小存货、且满足系统的的所有其他约束。换句话说,处理预测订货以使补充罐的成本最低。
为了预测未来用量,处理器202可以采用把来自各罐的消耗按用量分类成不同类别的软件。例如,本发明使用动态消耗模式程序,以便按要求和对变化的参数建立用于每个罐的消耗类别标识。
动态消耗模式程序允许根据回顾预定天数的实际遥测数据产生指定的类别。计算每日和每周的用量,并且使用各种缺省和计算导出消耗类别键标或形式“nnnnnnn.”的模式。每个‘n’代表从0至4的一个位,象征性地代表基于每星期7天24小时生产日的估计标准产品用量。值‘4’意味着不管站实际运行多少小时,其这天的典型平均用量与周平均相比,大约是一标准整天的用量。同样,值‘1’指示约四分之一天的生产,值‘2’指示约二分之一天的生产,及值‘3’指示约四分之三天的生产。
标准化这些值,从而多个现场即使其用量的绝对小时变化也能共用相同模式。运行小时对于处理器来说,几乎不象知道每天的和一周内天天的相对用量模式那样重要。
即使能动态地计算这种标识,它也可以从我们希望指定给一个具体罐的标准值变化。例如,动态计算可能把一个现场标识为‘4344444’,尽管他们通常按液位为基础为每周生产7天。个别峰值、或不平常的环境、或取样周期太短都可能造成模式中明显错误的‘3’。在已知生产计划的大体积用户的情况下,有可能预编码其标准消耗模式,从而使它代替动态模式,由此保证BCD将产生一个更精确的需求预测。
由于涉及许多变量,所以不可能完美地模型化消耗。然而,用这种手段作为第一步骤避免了依靠计划、传闻、或关于客户产品用量的虚构,代之以根据用来管理客户存货的相同数据-日常遥测读数,导出需要的数据。例如,可以建立如下28个类别:
消耗类别 消耗模式
缺省 M-F4,SAT0,SUN0
9999999 S-S4
4444444 S-S4
4444442 S-F4,SAT2
4444440 S-F4,SAT0
4444421 S-T4,FRI2,SAT1
4444420 S-T4,FRI2,SAT0
2444444 M-S4,SUN2
2444442 M-F4,SAT2,SUN2
2444441 M-F4,SAT1,SUN2
2444440 M-F4,SAT0,SUN2
2444420 M-T4,FRI2,SAT0,SUN2
1444444 M-S4,SUN1
1444442 M-F4,SAT2,SUN1
1444441 M-F4,SAT1,SUN1
1444440 M-F4,SAT0,SUN1
1444400 M-T4,FRI0,SAT0,SUN1
1244444 T-S4,SUN1,MON2
0444444 M-S4,SUN0
0444442 M-F4,SAT2,SUN0
0444441 M-F4,SAT1,SUN0
0444440 M-F4,SAT0,SUN0
0444420 M-T4,FRI2,SAT0,SUN0
0444400 M-T4,F-S0
0442440 M-T4,WED2,T-F4,S-S0
0244440 T-F4,SAT0,SUN0,MON2
0222220 M-F2,SAT0,SUN0
0000000 未知消耗模式
在过去,消耗类别由操作者利用数据人工地指定,如图3中所示。然而,在大规模系统中人工指定是一项耗时的任务。因此,还设想系统可以包括一个动态消耗类别指定(DCCA)程序,如图3中所示,该程序可以由处理器执行以自动地指定类别。该程序由系统通过分析存储在过去用量存储器208中的历史遥测数据,来动态地指定类别。系统可以编程以便周期地重新估计(例如,每星期批量处理)每个罐的每个消耗类别,并且还可以把打印的已经实现的任何消耗类别变化提供给操作者。
此外,处理器202访问一个卡车路线存储器214,卡车路线存储器214存储指示每台车辆到客户的罐的各种可能卡车路线的信息,客户的罐是系统的一部分。处理器202执行优化指令216(如以上提及的BCD优化算法),优化指令216与存储在存储器214中的卡车路线相结合,估计存储在存储器210中的各种计划用量,以提供使总输送成本最小的送货信息。特别是,指令216根据计划的未来罐数量和可能路线,优化用于每台车辆的路线、输送量、和输送时间表,以使输送成本最小。该信息存储在存储器218中。该信息又作为由送货者使用的路线或定货信息提供给发货终端116,以按照优化路线和输送时间表控制车辆118。此外,处理器由一个卫星链220连接到各个车辆118上,从而处理器知道卡车位置和用于每台车辆的输送信息。
结果,处理器202监视每个罐104的数量信号,以确定每个罐内含物的过去用量速率,该用量速率存储在过去用量存储器208中。然后处理器根据确定的过去用量速率计划每个罐的未来罐量,并且把这种信息存储在存储器210中。其次,处理器根据计划的未来罐液位和可能路线优化用于每台车辆的路线、输送量、和输送时间表。最后,把这种优化信息存储在送货存储器218中,并且提供给发货终端116,以按照其优化路线和输送时间表派发每台车辆。由于设想本发明的系统可以与专用车队一起使用,所以处理器202根据组成一组固定物资的司机和设备的固定数目使输送成本最小。通过考虑各种任意和强制定货,如下面提及的那样,处理器选择使成本最小同时保持存货液位的输送路线和时间表。结果,处理器202根据司机和设备的固定物资使输送成本最小,同时保持所有罐有最小的存货液位。
在本发明的一个最佳实施例中,卫星链120和220各包括一个发送-应答器,两个发送-应答器彼此通信以允许中心站114监视派发的车辆118的位置。这种链向车辆指示来自中心站的指令,而向中心站指示派发车辆的位置。当测量仪器124直接连接到卫星链120上时,每台车辆经卫星链向中心站指示由每台派发的车辆输送到具体客户位置处具体罐的材料量。结果,处理器通过执行记帐指令222(如ROSS Distrbution Series)产生记帐信息,以便根据向中心站所指示的输送到具体罐的材料量产生发票和用量信息。
本发明的系统100的集成软件和硬件可以与使用中央相关数据库的客户服务系统接口,从而多个用户能实时访问核心信息。还设想计划指令212可以包括另外的预测软件(如BCD),以预计用量趋势以及产品消耗。而且,可以提供包含客户输送优先权的任选路线和逻辑软件(如BCD),这种软件消除了需要人工制订路线和时间表,并且优化了供给商的输送设备。
可选择的是,可以配置用作液位传感器108的超声波技术,以得到罐的读数,而与罐的几何形状或原材料特性无关。这通过RTU的适当编程来实现。
还可以把系统配置成允许客户指定每个罐104中的最小和最大存货液位,并且允许客户指定在站102处接收输送的可接收日期和次数。此外系统还可以适于客户的日常换班,或者允许客户改变任何排定的计划。
一般标为计划指令212的历史/预测软件(如BCD)向客户提供各种好处。现场管理者能由任何日期或每天的任何时候、或者对于由系统监视的任何原材料,精确定出用量液位。这种数据可以用于公式核实和其他分析。此外,对历史用量灵敏的软件由以前的模式检测增大或减小。结果,远在客户自己注意到设备问题或存货异常之前,能通知客户这些变化。
不仅简单地识别需要存货补充和计划发货,作为优化指令216的部分的订货开始软件(如BCD)还根据客户的多个定制的规范来计划输送。此外,定制路线和时间表软件(如BCD)确定定制卡车路线的最好方法。
作为记帐指令222的一部分的记帐软件减少了劳动和书面工作,同时保持及时和准确的记帐。对于多种输送或限制的材料可用性,准确开发票更具有挑战性。然而,认证的、可测量的卡车当集成有立即发送输送信息的卫星技术时解决了这一问题。还能强化开发票以简化记帐过程。在对所有液体原材料输送提供每月一张发票的前提下,甚至对站102处的所有液体原材料,有可能得到自动存货管理服务--对于采购和记帐部门节省了大量时间和费用。
当原材料存货在最大订货液位与最小存货液位之间时,订货计划软件能计划输送以保证满足客户需要,同时优化制订路线和计划。图4表明影响系统决定的各种罐液位。每个罐104具有一定容量,并且处理器202为最大订货液位小于罐容量的每个罐指定最大订货液位。然后处理器202根据输送为具体罐优化路线、输送量和输送时间表,该输送可能不进行,除非罐液位在具体罐的最大订货液位L5以下、且罐液位在最小存货液位以上(见图5)。处理器202还为每个罐指定(或定义)一个底部液位L4,从而每个罐的最小存货液位大于罐的底部液位。处理器202根据防止罐液位小于具体罐的底部液位的输送时间表,优化路线、输送量和输送时间表。特别是,确定如下决定:
1.输送计时由如下确定:a)来自罐的预测用量;b)相邻罐的可用容量/用量/卡车可用性和使用性;c)罐液位一到“输送区”就可以进行输送;及d)在罐液位达到最小存货液位L1之前进行输送。
2.输送量由如下确定:a)罐的可用容量(例如,容量L3减去最终存货L2);b)罐的最小输送量;c)罐的最大输送量;及d)相邻罐的可用容量/BTC卡车使用。
例如,该系统可以用于象甲硫氨酸羟基类物质和促长啉之类的液体供给原材料,并且将产生图5中所示的存货液位。
记帐指令222把系统连接到供给商的可用帐目上。这使供给商在进行输送时考虑客户信用。例如,向一个具体客户输送会对该具体客户的信用状态有什么影响?如果输送会导致客户超过其信用极限,则通知供给商确定如何解决该问题。因为连接,供给商能在线访问每位顾客的信用记录,并且能立即看出计划输送的未来影响。而且,系统允许供给商通过每个客户每个位置的现场触点存储器224指定和接入一个或多个触点。例如,客户具有用于输送、用于备用输送、用于采购订货或用于关于用量偏差疑问的单独触点。该存储器允许供给商个人与每个客户的适当触点接触。更进一步,每个触点连有一个记录的客户,从而是供给商系统一部分的任何人都可以确定谁上次与触点进行了连通和连通的原因。
本发明的系统还可以具有输送重量认可选择。这种选择估计和记录订货数量、原始数量、测量数量和客户称重数量。该系统能用来保证根据与客户商定的数量产生材料的发票,消除了高成本的赊购、负债和修改。
本发明还包括一种使用一队车辆向各客户位置处的多个罐提供材料的方法,该方法包括步骤:
从一个与每个罐相联的存货指示器中收集一个提供给一个中心站以指示每个罐中的数量的数量信号;
存储来自存货指示器的信息;
监视每个罐的数量信号,以确定每个罐的内含物的过去用量速率;
根据确定的过去用量速率,计划每个罐的未来罐量;
对到每个罐的每台车辆确定可能的路线;
根据计划的未来罐量和使输送成本最小的可能路线,为每台车辆优化路线、输送量、和输送时间表;及
按照其优化的路线和输送时间表派发每台车辆。
由以上描述看来,实现了本发明的几个目的,并且得到了有利的结果。
由于在以上系统中能进行各种变更而不脱离本发明的范围,所以打算把上述中包含的、和在附图中所示的所有内容都理解为说明性的,而非限制性的。
Claims (15)
1.一种使用一队车辆向各客户位置处的多个罐提供材料的系统,该系统包括:
一个中心站;
一个存货指示器,与每个罐相联且向中心站提供一个指示每个罐中的数量的数量信号;及
一个在中心站处的处理器;该处理器用于:
从存货指示器收集和存储信息;
监视每一个罐的数量信号以确定每个罐的内含物的过去用量速率;
根据确定的过去用量速率计划每个罐的未来罐量;
对到每个罐的每台车辆确定可能的路线;
根据计划的未来罐量和使输送成本最小的可能路线,为每台车辆优化路线、输送量、和输送时间表;及
按照其优化的路线和输送时间表派发每台车辆。
2.根据权利要求1所述的系统,其中每个罐具有一定容量,且其中处理器为每个罐指定一个最大订货液位,该最大订货液位小于罐的容量,并且其中处理器根据输送为每个具体罐优化路线、输送量、和输送时间表,该输送可能不进行,除非罐液位在具体罐的最大订货液位以下、且罐液位在最小存货液位以上。
3.根据权利要求2所述的系统,其中每个罐具有一个底部液位,且其中处理器为每个罐指定一个最小存货液位,该最小存货液位大于罐的底部液位,并且其中处理器根据防止罐液位小于具体罐的底部液位的输送时间表,优化路线、输送量和输送时间表。
4.根据权利要求1所述的系统,其中处理器产生任意订货和强制订货,并且其中处理器根据考虑到任意订货和强制订货的输送时间表,为每个具体罐优化路线、输送量和输送时间表。
5.根据权利要求1所述的系统,其中处理器根据司机和设备的固定物资使输送成本最小,同时保持所有罐具有最小存货。
6.根据权利要求1所述的系统,进一步包括一个卫星链,该卫星链包括一个在每台车辆上与中心站通信的发送-应答器,所述卫星链监视派发的车辆的位置,向车辆指示来自中心站的指令,而向中心站指示派发车辆的位置。
7.根据权利要求6所述的系统,其中每台派发车辆经卫星链向中心站指示输送到具体客户位置处具体罐的材料量;并且其中处理器根据向中心站所指示的输送到具体罐的材料量,开始产生提供给每个客户的记帐信息。
8.根据权利要求1所述的系统,包括:一个存货存储器,存储指示每个罐中材料液位的液位数据;一个过去用量存储器,存储指示每个罐中材料过去用量速率的过去用量数据;一个未来用量存储器,存储指示每个罐中材料的计划未来用量的信息的未来用量数据;及一个卡车路线存储器,存储指示车辆为把材料供给到每个罐所走路线的路线数据。
9.根据权利要求8所述的系统,包括根据液位数据、过去用量数据和未来用量数据计划罐的未来液位的计划指令,且包括根据计划的未来液位选择最佳路线数据的优化算法。
10.根据权利要求9所述的系统,包括由处理器执行的记帐指令,以便对应于过去用量和到每个具体罐的材料输送,为每个具体罐产生发票和用量报告。
11.根据权利要求1所述的系统,其中处理器根据每个具体罐中的过去材料用量为每个具体罐指定一个消耗类别,并且其中处理器根据消耗类别计划未来罐液位。
12.根据权利要求1所述的系统,进一步包括一个在每台车辆上用来测量输送到每个具体罐的材料量的测量仪器,所述测量仪器带有一个向中心站发送每个具体罐处输送的材料量的发送器。
13.根据权利要求1所述的系统,进一步包括一个在每个罐处用来指示对应于罐中材料温度的温度的温度传感器,和一个互连该传感器与中心站的、且把指示温度提供给中心站的链。
14.一种用来把材料提供给在各个客户位置处的多个罐的系统,该系统包括:
把材料提供给多个罐的一队车辆;
一个中心站;
一个存货指示器,与每个罐相联、且向中心站提供一个指示每个罐中的数量的数量信号;及
一个在中心站处的处理器;用于:
从存货指示器收集和存储信息;
监视每一个罐的数量信号,以确定每个罐的内含物的过去用量速率;
根据确定的过去用量速率,计划每个罐的未来罐量;
对到每个罐的每台车辆确定可能的路线;
根据计划的未来罐量和使输送成本最小的可能路线,为每台车辆优化路线、输送量、和输送时间表;及
按照其优化的路线和输送时间表派发每台车辆。
15.一种使用一队车辆向各客户位置处的多个罐提供材料的方法,该方法包括步骤:
从一个与每个罐相联的存货指示器中收集一个指示每个罐中的数量的数量信号;
存储来自存货指示器的信息;
监视每个罐的数量信号,以确定每个罐的内含物的过去用量速率;
根据确定的过去用量速率,计划每个罐的未来罐量;
对到每个罐的每台车辆确定可能的路线;
根据计划的未来罐量和使输送成本最小的可能路线,为每台车辆优化路线、输送量、和输送时间表;及
按照其优化的路线和输送时间表派发每台车辆。
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US08/636,289 US5983198A (en) | 1996-04-23 | 1996-04-23 | Integrated system monitoring use of materials, controlling and monitoring delivery of materials and providing automated billing of delivered materials |
US08/636,289 | 1996-04-23 |
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US (1) | US5983198A (zh) |
EP (1) | EP0895626B1 (zh) |
KR (1) | KR20000010584A (zh) |
CN (1) | CN1216621A (zh) |
AR (1) | AR006786A1 (zh) |
AU (1) | AU712598B2 (zh) |
BR (1) | BR9708813A (zh) |
CA (1) | CA2251794C (zh) |
DE (1) | DE69707127T2 (zh) |
DK (1) | DK0895626T3 (zh) |
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ID (1) | ID19672A (zh) |
IL (1) | IL126652A0 (zh) |
PL (1) | PL185322B1 (zh) |
PT (1) | PT895626E (zh) |
TW (1) | TW476900B (zh) |
WO (1) | WO1997040459A1 (zh) |
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1997
- 1997-02-18 AU AU22741/97A patent/AU712598B2/en not_active Ceased
- 1997-02-18 KR KR1019980708459A patent/KR20000010584A/ko active IP Right Grant
- 1997-02-18 PL PL97329567A patent/PL185322B1/pl not_active IP Right Cessation
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- 1997-02-18 DE DE69707127T patent/DE69707127T2/de not_active Expired - Fee Related
- 1997-02-18 WO PCT/US1997/002381 patent/WO1997040459A1/en active IP Right Grant
- 1997-02-18 CA CA002251794A patent/CA2251794C/en not_active Expired - Lifetime
- 1997-02-18 IL IL12665297A patent/IL126652A0/xx unknown
- 1997-02-18 PT PT97906918T patent/PT895626E/pt unknown
- 1997-02-18 ES ES97906918T patent/ES2162251T3/es not_active Expired - Lifetime
- 1997-02-18 CN CN97194033A patent/CN1216621A/zh active Pending
- 1997-02-18 DK DK97906918T patent/DK0895626T3/da active
- 1997-02-18 BR BR9708813A patent/BR9708813A/pt not_active IP Right Cessation
- 1997-04-02 TW TW086104217A patent/TW476900B/zh not_active IP Right Cessation
- 1997-04-10 ZA ZA9703064A patent/ZA973064B/xx unknown
- 1997-04-21 ID IDP971319A patent/ID19672A/id unknown
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CN102982427A (zh) * | 2005-12-09 | 2013-03-20 | 吉格索技术有限公司 | 计算机化矿井生产系统 |
CN102982427B (zh) * | 2005-12-09 | 2016-01-06 | 莱卡地球系统矿业公司 | 计算机化矿井生产系统 |
US11158019B2 (en) | 2016-12-08 | 2021-10-26 | Halliburton Energy Services, Inc. | Automating material delivery and replenishment |
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AU2274197A (en) | 1997-11-12 |
AR006786A1 (es) | 1999-09-29 |
IL126652A0 (en) | 1999-08-17 |
KR20000010584A (ko) | 2000-02-15 |
DE69707127D1 (de) | 2001-11-08 |
TW476900B (en) | 2002-02-21 |
ID19672A (id) | 1998-07-30 |
DK0895626T3 (da) | 2002-01-21 |
EP0895626B1 (en) | 2001-10-04 |
AU712598B2 (en) | 1999-11-11 |
BR9708813A (pt) | 1999-08-03 |
PL329567A1 (en) | 1999-03-29 |
US5983198A (en) | 1999-11-09 |
WO1997040459A1 (en) | 1997-10-30 |
CA2251794A1 (en) | 1997-10-30 |
DE69707127T2 (de) | 2002-03-07 |
CA2251794C (en) | 2003-01-07 |
PT895626E (pt) | 2002-03-28 |
ES2162251T3 (es) | 2001-12-16 |
ZA973064B (en) | 1997-11-05 |
EP0895626A1 (en) | 1999-02-10 |
PL185322B1 (pl) | 2003-04-30 |
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