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
    • 51. 发明申请
    • ROBUST FEEDSTOCK SELECTION SYSTEM FOR THE CHEMICAL PROCESS INDUSTRIES UNDER MARKET AND OPERATIONAL UNCERTAINTY
    • 市场化运作下的化学工业鲁棒性原料选择系统及其运作不确定性
    • WO2017184306A1
    • 2017-10-26
    • PCT/US2017/024463
    • 2017-03-28
    • ASPEN TECHNOLOGY, INC.
    • APAP, Robert M.VARVAREZOS, Dimitrios
    • G06Q10/04G06Q50/04
    • A computer system and method optimize feedstock selection planning for an industrial process by evaluating first and second stages at separate intervals throughout the planning process. Evaluating the first stage determines a set of robust feedstocks to procure on long-term contracts. The computer system and method solve, in parallel, multiple simulation cases of a non-linear model generated with different expectation values for uncertain input parameters related to selecting feedstocks to procure on long-term contracts. Probabilistic analyses on the solutions from the simulation cases, including the application of chance-constraints, determine the set of robust feedstocks to procure on long-term contracts. Evaluating the second stage determines a set of robust feedstocks to procure in the spot market, using the information from the first stage. Specifically, the computer system and method solve each of multiple new simulation cases of the non-linear model, generated with different expectation values for uncertain input parameters related to selecting feedstocks to procure in the spot market. Each simulation case is solved to determine breakeven prices for one or more available spot feedstocks, and probabilistic analyses are performed on the breakeven prices for these spot feedstocks to determine a set of robust feedstocks to procure in the spot market.
    • 计算机系统和方法通过在整个计划过程中以分开的间隔评估第一和第二阶段来优化工业过程的原料选择计划。 对第一阶段进行评估确定了一组可靠的长期合同采购原料。 该计算机系统和方法并行求解对于与选择在长期合同中采购原料相关的不确定输入参数而生成的具有不同期望值的非线性模型的多个模拟案例。 对模拟案例的解决方案进行概率分析,包括机会约束的应用,确定了在长期合同中采购的稳健原料组。 对第二阶段的评估决定了一系列使用第一阶段信息在现货市场采购的强大原料。 具体而言,计算机系统和方法解决了非线性模型的多个新模拟情况中的每一个,所述非线性模型是针对与选择在现货市场中采购原料有关的不确定输入参数的不同期望值而生成的。 每个模拟案例都可以解决,以确定一种或多种可用现货原料的盈亏平衡价格,并对这些现货原料的盈亏平衡价格进行概率分析,以确定在现货市场上采购的一组稳健原料。
    • 52. 发明申请
    • APPARATUS AND METHOD FOR AUTOMATED DATA SELECTION IN MODEL IDENTIFICATION AND ADAPTATION IN MULTIVARIABLE PROCESS CONTROL
    • 多变量过程控制模型识别和适应中自动数据选择的装置和方法
    • WO2013170041A2
    • 2013-11-14
    • PCT/US2013/040363
    • 2013-05-09
    • ASPEN TECHNOLOGY, INC.
    • ZHAO, HongHARMESE, Magiel, J.
    • G06F19/00
    • G05B13/048
    • A computer-based apparatus and method for automated data screening and selection in model identification and model adaptation in multivariable process control is disclosed. Data sample status information, PID control loop associations and internally built MISO (Multi-input, Single-output) predictive models are employed to automatically screen individual time-series of data, and based on various criteria bad data is automatically identified and marked for removal. The resulting plant step test/operational data is also repaired by interpolated replacement values substituted for certain removed bad data that satisfy some conditions. Computer implemented data point interconnection and adjustment techniques are provided to guarantee smooth/continuous replacement values.
    • 公开了一种用于多变量过程控制中的模型识别和模型适应中的自动数据筛选和选择的基于计算机的装置和方法。 采用数据采样状态信息,PID控制回路关联和内部建立的MISO(多输入,单输出)预测模型,自动筛选各个时间序列的数据,并根据各种准则自动识别不良数据并标记清除 。 所得到的工厂步骤测试/操作数据也通过替代满足某些条件的某些去除的坏数据的内插替换值进行修复。 提供计算机实现的数据点互联和调整技术,以保证平滑/连续的替换值。
    • 54. 发明申请
    • CONFIGURATION ENGINE FOR A PROCESS SIMULATOR
    • 用于过程模拟器的配置发动机
    • WO2011133805A2
    • 2011-10-27
    • PCT/US2011/033481
    • 2011-04-21
    • ASPEN TECHNOLOGY, INC.BLEACKLEY, DavidWASSENHOVE, Willem, Van
    • BLEACKLEY, DavidWASSENHOVE, Willem, Van
    • G06F17/50
    • G06F17/5004G06F2217/16G06F2217/80
    • A computer modeling apparatus includes an input module enabling user specification of a subject facility design based on limited data. The subject facility design includes design alternatives, and a processor routine coupled to the input module and responsive to the user specification by forming an input data set to a rigorous simulation modeler to model the subject facility design. The rigorous simulation modeler requires input beyond the limited data. The processor routine enables execution of the simulation modeler. The computer modeling apparatus further includes an interface member that enables the production of a rigorous simulation model of the subject facility design from the simulation modeler. The subject facility is one of an oil processing facility, a gas processing facility, an oil and gas separation facility, or a chemical processing facility.
    • 计算机建模装置包括输入模块,其使用户能够基于有限的数据来指定主题设计设计。 主题设计包括设计替代方案,以及耦合到输入模块的处理器程序,并且响应于用户指定,通过将输入数据集合形成到严格的模拟建模器来建模主题设计设计。 严格的模拟建模者需要超出有限数据的输入。 处理器程序可以执行仿真建模器。 计算机建模装置还包括能够从仿真建模器生成主题设计设计的严格仿真模型的接口构件。 主题设施是石油加工设备,气体处理设备,油气分离设备或化学处理设备之一。
    • 55. 发明申请
    • APPARATUS AND METHOD FOR MODEL QUALITY ESTIMATION AND MODEL ADAPTATION IN MULTIVARIABLE PROCESS CONTROL
    • 多变量过程控制中模型质量估计和模型适应的装置和方法
    • WO2010138452A1
    • 2010-12-02
    • PCT/US2010/035960
    • 2010-05-24
    • ASPEN TECHNOLOGY, INC.ZHENG, Qingsheng, Q.ZHAO, Hong
    • ZHENG, Qingsheng, Q.ZHAO, Hong
    • G05B13/04
    • G05B13/048
    • Apparatuses and methods for model quality estimation and model adaptation in multivariable process control are disclosed. A method for updating a multiple input multiple output (MIMO) dynamical model of a process includes perturbing the process, auditing the controller model, identifying poor performing submodels and re-testing the relevant process variables, re-identifying submodels and adapting the model online while the process continues to operate within normal operating parameters. An apparatus comprises an online multivariable controller, a tester, a database to store data corresponding to manipulated variables and controlled variables, and a performance diagnosis module configured to identify problematic submodels and adapt a model used by the controller.
    • 公开了多变量过程控制中的模型质量估计和模型适应的装置和方法。 用于更新过程的多输入多输出(MIMO)动态模型的方法包括扰动过程,审核控制器模型,识别执行不良的子模型并重新测试相关过程变量,重新识别子模型并在线适配模型 该过程继续在正常操作参数内运行。 一种装置包括在线多变量控制器,测试器,用于存储与操作变量和受控变量相对应的数据的数据库,以及性能诊断模块,被配置为识别有问题的子模型并适应控制器使用的模型。