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
    • 37. 发明授权
    • Method and system for process control with complex inference mechanism
    • 具有复杂推理机制的过程控制方法与系统
    • US5051932A
    • 1991-09-24
    • US328520
    • 1989-03-24
    • Haruki InoueMotohisa FunabashiMasakazu YahiroYoshiyuki Satoh
    • Haruki InoueMotohisa FunabashiMasakazu YahiroYoshiyuki Satoh
    • G05B13/00G05B13/02G06F9/44G06N5/04G06N7/04
    • G06N7/04G05B13/0295G06N5/048Y10S706/90Y10S706/906Y10S707/99935
    • A process control system for controlling a process exhibiting both linear behavior and non-linear behavior with a plurality of control quantities has a knowledge base storing therein universal facts, production rules including expert's empirical rules, meta rules describing flows of inferences, algorithm methods by mathematical expressions and membership functions referenced in fuzzy inference and a complex inference mechanism. The complex inference mechanism is composed of a complex fuzzy mechanism for inferring directly predicted values on a multi-dimensional space generated by a plurality of elements for evaluation and predicted control objectives evaluated previously with fuzzy quantities, a predicting fuzzy mechanism having the input supplied with the predicted values for determining arithmetically correlation to the membership functions determined previously with the fuzzy quantities and a satisfaction grade obtained by imparting weight to the correlation for each of the control objectives to thereby determine such a combination of the control quantities for control effectors to vary the operation states thereof from the current operation states that the satisfaction grade becomes maximum, and a main inference mechanism having the input supplied with process data to thereby compare selectively the process data with the knowledge stored in the knowledge base for thereby making decision of the process behavior through a forward fuzzy inference with the aid of the production rules based on the empirical knowledge and manage the whole process control system including the complex fuzzy inference mechanism, the predicting fuzzy inference mechanism and the knowledge base. The system can be advantageously employed for intra-tunnel ventilation control and other processes exhibiting both linear and non-linear behaviors.
    • 用于控制具有多个控制量的线性行为和非线性行为的过程的过程控制系统具有在其中存储通用事实的知识库,包括专家的经验规则的生产规则,描述推理流的元规则,通过数学的算法方法 模糊推理中引用的表达式和隶属函数以及复杂的推理机制。 复杂推理机制由复杂的模糊机制组成,用于推断由多个元素产生的多维空间上的直接预测值,用于评估以前用模糊量估计的预测控制目标,预测模糊机制具有提供的输入 用于确定与先前用模糊量确定的隶属函数的算术相关性的预测值,以及通过对每个控制目标赋予相关性而获得的满足度等级,从而确定控制效果器的控制量的组合以改变操作 来自当前操作的状态表明满意等级变为最大,并且具有输入的主推理机制提供过程数据,从而选择性地比较过程数据与知识库中存储的知识,从而进行处理行为的决定 借鉴基于实证知识的生产规则,通过前向模糊推理,对包括复杂模糊推理机制,预测模糊推理机制和知识库的整个过程控制系统进行管理。 该系统可以有利地用于隧道内通气控制和呈现线性和非线性行为的其它过程。
    • 38. 发明授权
    • Resource allocation method in a computer system
    • 计算机系统中的资源分配方法
    • US4727487A
    • 1988-02-23
    • US760917
    • 1985-07-31
    • Shoichi MasuiShunichi TanoMotohisa FunabashiKoichi Haruna
    • Shoichi MasuiShunichi TanoMotohisa FunabashiKoichi Haruna
    • G06F9/46G06F9/50G06F1/00
    • G06F9/50Y10S706/908
    • A method of resource allocating to respective unit processes is disclosed which comprises, in order to allow the resource allocation based on experimental know-how of operation without assistance of a system operator, the steps of storing information of each unit processor including its priority, and names and functions of the resources required by that unit processor; storing information of each resource including an operation status and a process content of that resource; storing experimental know-how obtained in the operation of the system; and carrying out resource allocation to the unit processes in accordance with the stored experimental know-how when the operation status of the system corresponds to the stored experimental know-how and in the order of priorities of the unit processes as stored by taking reference to the stored information of each resource when the operation status of the system does not correspond to the stored experimental know-how, thereby improving the utilization efficiency of the resources.
    • 公开了一种资源分配给各个单元处理的方法,其包括为了在没有系统操作者的帮助的基础上允许基于实验的技术诀窍的资源分配,存储包括其优先级的每个单元处理器的信息的步骤,以及 该单位处理器所需资源的名称和功能; 存储包括所述资源的操作状态和处理内容的每个资源的信息; 存储在系统运行中获得的实验知识; 并且当系统的操作状态对应于所存储的实验技术以及按照参考存储的实验技术存储的单元处理的优先级顺序时,根据所存储的实验知识,向单元处理执行资源分配。 当系统的运行状态与存储的实验技术不一致时,每个资源的存储信息,从而提高了资源的利用效率。