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    • 2. 发明授权
    • Method, system and apparatus for monitoring and adjusting the quality of indoor air
    • 监测和调整室内空气质量的方法,系统和装置
    • US06711470B1
    • 2004-03-23
    • US09717180
    • 2000-11-16
    • Steven D. HartensteinPaul L. TremblayMichael O. FryerFrederick A. Hohorst
    • Steven D. HartensteinPaul L. TremblayMichael O. FryerFrederick A. Hohorst
    • G05B1300
    • F24F11/30F24F2110/50
    • A system, method and apparatus is provided for monitoring and adjusting the quality of indoor air. A sensor array senses an air sample from the indoor air and analyzes the air sample to obtain signatures representative of contaminants in the air sample. When the level or type of contaminant poses a threat or hazard to the occupants, the present invention takes corrective actions which may include introducing additional fresh air. The corrective actions taken are intended to promote overall health of personnel, prevent personnel from being overexposed to hazardous contaminants and minimize the cost of operating the HVAC system. The identification of the contaminants is performed by comparing the signatures provided by the sensor array with a database of known signatures. Upon identification, the system takes corrective actions based on the level of contaminant present. The present invention is capable of learning the identity of previously unknown contaminants, which increases its ability to identify contaminants in the future. Indoor air quality is assured by monitoring the contaminants not only in the indoor air, but also in the outdoor air and the air which is to be recirculated. The present invention is easily adaptable to new and existing HVAC systems. In sum, the present invention is able to monitor and adjust the quality of indoor air in real time by sensing the level and type of contaminants present in indoor air, outdoor and recirculated air, providing an intelligent decision about the quality of the air, and minimizing the cost of operating an HVAC system.
    • 提供了一种用于监测和调节室内空气质量的系统,方法和装置。 传感器阵列感测来自室内空气的空气样品,并分析空气样品以获得代表空气样品中污染物的特征。 当污染物的水平或类型对乘客造成威胁或危害时,本发明采取可能包括引入额外新鲜空气的纠正措施。 采取的纠正措施旨在促进人员的整体健康,防止人员过度暴露于有害污染物,并最大限度地降低HVAC系统的运行成本。 通过将传感器阵列提供的签名与已知签名的数据库进行比较来执行污染物的识别。 识别后,系统根据现有污染物的水平采取纠正措施。 本发明能够学习以前未知的污染物的身份,这增加了将来识别污染物的能力。 通过监测室内空气中的污染物,以及室外空气和要再循环的空气来确保室内空气质量。 本发明易于适应新的和现有的HVAC系统。 总之,本发明能够通过感测室内空气,室外和再循环空气中存在的污染物的水平和类型来实时监测和调节室内空气的质量,提供关于空气质量的智能决定,以及 最小化HVAC系统运行的成本。
    • 4. 发明授权
    • Hybrid finite state machine environmental system controller
    • 混合有限状态机环境系统控制器
    • US06408228B1
    • 2002-06-18
    • US09374569
    • 1999-08-13
    • John E. SeemGaylon M. DeciousCarol LomonacoAlex Bernaden
    • John E. SeemGaylon M. DeciousCarol LomonacoAlex Bernaden
    • G05B1300
    • G05D23/1904F24F11/30F24F2011/0006
    • The present invention provides a sequencing control strategy for environmental system controllers that takes better advantage of the capabilities of the system elements to enhance performance and reduce operating costs. Digital controller technology is included and operates in accordance with a state transition diagram clarifying conditions that must exist for the environmental controller to switch from one mode of operation to another (e.g., from a cooling mode with dampers set at the minimum position to a cooling mode with the dampers modulating to reduce the energy used for mechanical cooling). Several a controllers, or a single controller operating on several sets of control parameters, sequentially operate in accordance with transition data and system performance characteristics for controlling system operation.
    • 本发明提供了一种用于环境系统控制器的排序控制策略,该系统控制器更好地利用系统元件的能力来提高性能并降低运营成本。 数字控制器技术被包括并根据状态转换图进行操作,状态转换图说明了环境控制器必须存在的从一种操作模式切换到另一种操作模式的条件(例如,从具有在最小位置处的阻尼器到冷却模式的冷却模式 调节阻尼器以减少用于机械冷却的能量)。 几个控制器或者是在多组控制参数上操作的单个控制器依次按照过渡数据和系统性能特征进行操作,以控制系统运行。
    • 5. 发明授权
    • Adapting seek velocity profile to destination track location
    • 将寻道速度曲线适应目标轨道位置
    • US06169382A
    • 2001-01-02
    • US09301294
    • 1999-04-28
    • Lealon R. McKenzieRoy L. Wood
    • Lealon R. McKenzieRoy L. Wood
    • G05B1300
    • G11B5/5547
    • Apparatus and method for improved disc drive data storage capacity and seek performance. The disc drive includes a rotatable disc with a recording surface on which a plurality of tracks are defined and an actuator which supports a head adjacent the tracks. A servo circuit uses a velocity profile to position the head adjacent a destination track, with the servo circuit adaptively selecting the velocity profile in relation to the physical location of the destination track. The servo circuit preferably uses a reduced maximum velocity and a decreased deceleration rate when the deceleration track is adjacent an innermost or outermost diameter of the disc, thereby reducing the risk of damage as a result of contact between the actuator and a limit stop used to limit radial excursion of the head.
    • 改善磁盘驱动器数据存储容量并寻求性能的装置和方法。 盘驱动器包括具有记录表面的可旋转盘,多个轨迹被限定在该记录表面上,以及致动器,其支撑与轨道相邻的头部。 伺服电路使用速度分布来将头部定位在目的地轨道附近,伺服电路相对于目的地轨道的物理位置自适应地选择速度分布。 当减速轨迹与盘的最内或最外径相邻时,伺服电路优选使用减小的最大速度和减小速率,从而降低由于致动器与用于限制的限位挡块之间的接触而导致的损坏风险 头部的径向偏移。
    • 8. 发明授权
    • Method and system for determining induction motor speed
    • 感应电动机速度测定方法及系统
    • US06713978B2
    • 2004-03-30
    • US10197881
    • 2002-07-18
    • Alexander G. ParlosRaj M. Bharadwaj
    • Alexander G. ParlosRaj M. Bharadwaj
    • G05B1300
    • G06N3/0454H02P21/0014H02P21/18
    • A non-linear, semi-parametric neural network-based adaptive filter is utilized to determine the dynamic speed of a rotating rotor within an induction motor, without the explicit use of a speed sensor, such as a tachometer, is disclosed. The neural network-based filter is developed using actual motor current measurements, voltage measurements, and nameplate information. The neural network-based adaptive filter is trained using an estimated speed calculator derived from the actual current and voltage measurements. The neural network-based adaptive filter uses voltage and current measurements to determine the instantaneous speed of a rotating rotor. The neural network-based adaptive filter also includes an on-line adaptation scheme that permits the filter to be readily adapted for new operating conditions during operations.
    • 利用非线性的半参数神经网络自适应滤波器来确定感应电动机内的旋转转子的动态速度,而没有公开使用诸如转速计的速度传感器。 基于神经网络的滤波器是使用实际的电动机电流测量,电压测量和铭牌信息来开发的。 基于神经网络的自适应滤波器使用从实际电流和电压测量得到的估计速度计算器进行训练。 基于神经网络的自适应滤波器使用电压和电流测量来确定旋转转子的瞬时速度。 基于神经网络的自适应滤波器还包括在线适配方案,其允许滤波器在操作期间容易地适应新的操作条件。
    • 9. 发明授权
    • Building control system
    • 楼宇控制系统
    • US06405103B1
    • 2002-06-11
    • US09216245
    • 1998-12-18
    • Thomas M. RyanJames M. RyanLouis A. Santiago
    • Thomas M. RyanJames M. RyanLouis A. Santiago
    • G05B1300
    • G05B15/02F24F11/54G05B19/042G05B2219/23027G05B2219/2642
    • Disclosed is a system for controlling appliances of at least one building, each appliance being associated with a local controller and having a control input and at least one control point. The system includes a central processor computer having an operator interface and an equipment interface, a network connected to the equipment interface and having a plurality of nodes for communicating with each of the appliances, a log file being stored with respective area, description, and address fields containing corresponding data of the control points. A control program in the computer feeds the equipment interface to drive the control inputs of the appliances in response to a database, the database being populated from a tagname dictionary. A conversion program produces the tagname dictionary as a transfer file, the program including instructions for accessing the area, description, and address fields of the log file, generating for each point a tagname as a concatenation of the area and description fields, and an item including contents of the address field, and storing the tagnames and associated items with the header in the transfer file, whereby the system drives the control inputs of the appliances in response to the control point data of the log file. The conversion program can include a mode selector for directing conditional, unconditional and test modes of a utility process populating the database. Also disclosed is a process for controlling multiple appliances of at least one building.
    • 公开了一种用于控制至少一个建筑物的设备的系统,每个设备与本地控制器相关联并具有控制输入和至少一个控制点。 该系统包括具有操作员接口和设备接口的中央处理器计算机,连接到设备接口的网络,并且具有用于与每个设备通信的多个节点,存储有相应区域,描述和地址的日志文件 包含控制点的相应数据的字段。 计算机中的控制程序馈送设备接口以响应于数据库驱动设备的控制输入,数据库从标记名字典填充。 转换程序产生标记名字典作为传送文件,该程序包括用于访问日志文件的区域,描述和地址字段的指令,为每个点生成标记名作为区域和描述字段的级联,以及项目 包括地址字段的内容,以及将标题名和与标题相关联的项目存储在传送文件中,由此系统响应于日志文件的控制点数据来驱动设备的控制输入。 转换程序可以包括用于指示填充数据库的实用程序的条件,无条件和测试模式的模式选择器。 还公开了一种用于控制至少一个建筑物的多个装置的过程。
    • 10. 发明授权
    • Optimization control method for shock absorber
    • 减震器优化控制方法
    • US06212466B1
    • 2001-04-03
    • US09484877
    • 2000-01-18
    • Sergei V. UlyanovTakahide Hagiwara
    • Sergei V. UlyanovTakahide Hagiwara
    • G05B1300
    • G05B13/0285B60G17/018B60G17/0182B60G2200/142B60G2202/135B60G2206/99B60G2400/821B60G2500/10B60G2600/1878B60G2600/1879G05B13/0265G05B13/027
    • A control system for optimizing the performance of a vehicle suspension system by controlling the damping factor of one or more shock absorbers is described. The control system uses a fitness (performance) function that is based on the physical laws of minimum entropy. The control system uses a fuzzy neural network that is trained by a genetic analyzer. The genetic analyzer uses a fitness function that maximizes information while minimizing entropy production. The fitness function uses a difference between the time differential of entropy from a control signal produced in a learning control module and the time differential of the entropy calculated by a model of the suspension system that uses the control signal as an input. The entropy calculation is based on a dynamic model of an equation of motion for the suspension system such that the suspension system is treated as an open dynamic system.
    • 描述了通过控制一个或多个减震器的阻尼系数来优化车辆悬架系统的性能的控制系统。 控制系统使用基于最小熵的物理定律的适应度(性能)函数。 控制系统使用由遗传分析仪训练的模糊神经网络。 遗传分析仪使用最大化信息的适应度函数,同时最小化熵产生。 适应度函数使用来自学习控制模块中产生的控制信号的熵的时间差与通过使用控制信号作为输入的悬架系统的模型计算的熵的时间微分之差。 熵计算基于悬架系统的运动方程的动态模型,使得悬架系统被视为开放动态系统。