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    • 5. 发明申请
    • HVAC FILTER MONITORING
    • HVAC过滤器监控
    • US20120125592A1
    • 2012-05-24
    • US12987257
    • 2011-01-10
    • Anthony Michael FADELLYoky MATSUOKAMatthew Lee ROGERSDavid SLOO
    • Anthony Michael FADELLYoky MATSUOKAMatthew Lee ROGERSDavid SLOO
    • G05D23/19H02N2/18G06F15/00B01D46/42
    • F24F11/0012B01D46/0086F24D19/10F24D19/1084F24F11/30F24F11/32F24F11/39F24F11/46F24F11/47F24F11/52F24F11/56F24F11/61F24F11/62F24F11/63F24F11/64F24F11/89F24F2110/00F24F2110/10F24F2120/10F24F2120/20F24F2130/40F24F2140/60G05B13/0265G05B15/02G05D23/19G05D23/1902G05D23/1917H01R9/2416H04W4/70Y02B10/20Y02B10/70Y02D70/12Y02D70/122Y02D70/142Y02D70/144Y02D70/162Y10T29/49826
    • A method is described for identifying faults relating to an HVAC system, such a clogged filter. Sensor data is used to estimate HVAC system efficiency. Trends in system efficiency are then used to identify faults such as clogged filters. The sensor(s) can include one or more of the following types: optical sensor, temperature sensor, pressure sensor, acoustic transducer, humidity sensor, resistive sensor, capacitive sensor, and infrared sensor. The efficiency estimation can also be based on conditions external to the building, such as data from exterior sensors and/or data gathered from third parties such as government or private weather stations. The efficiency estimation can also be based on performance metrics such as the time used to reach a set point temperature. The fault identification includes filtering out non-fault related events.An instrumented air filter for use with an HVAC system is also described. The air filter, which can be disposable, can also include one or more of the following: a wireless communication device adapted to transmit data from the sensor to a receiver; a power harvester (e.g. using piezoelectric elements) positioned and adapted to generate power from air passing through the filter; and a power storage device adapted to store power generated by the power harvester.A method is also described for estimating HVAC system capacity based on user-inputted characteristics, such as the physical size, of an air filter used in the HVAC system.
    • 描述了一种用于识别与HVAC系统相关的故障的方法,这种堵塞的过滤器。 传感器数据用于估算HVAC系统的效率。 然后系统效率的趋势用于识别过滤器堵塞等故障。 传感器可以包括以下类型中的一种或多种:光学传感器,温度传感器,压力传感器,声学传感器,湿度传感器,电阻传感器,电容传感器和红外传感器。 效率估计还可以基于建筑外部的条件,例如来自外部传感器的数据和/或从第三方(例如政府或私人气象站)收集的数据。 效率估计也可以基于诸如达到设定点温度的时间等性能指标。 故障识别包括过滤非故障相关事件。 还描述了与HVAC系统一起使用的仪表用空气过滤器。 可以是一次性的空气过滤器还可以包括以下中的一个或多个:适于将数据从传感器传送到接收器的无线通信设备; 动力收割机(例如使用压电元件)定位并适于从通过过滤器的空气产生动力; 以及适于存储由所述电力收集机产生的电力的蓄电装置。 还描述了一种用于基于用户输入的特征(例如在HVAC系统中使用的空气过滤器的物理尺寸)来估计HVAC系统容量的方法。
    • 7. 发明申请
    • THERMODYNAMIC MODELING FOR ENCLOSURES
    • 热塑性热塑性建筑
    • US20120065783A1
    • 2012-03-15
    • US12881463
    • 2010-09-14
    • Anthony Michael FADELLMatthew Lee ROGERSKipp Avery ROGERSAbraham K. ISHIHARAShahar BEN-MENAHEMRangoli SHARAN
    • Anthony Michael FADELLMatthew Lee ROGERSKipp Avery ROGERSAbraham K. ISHIHARAShahar BEN-MENAHEMRangoli SHARAN
    • G06G7/66G05D23/19
    • F24F11/006F24F11/30F24F11/62F24F2110/10F24F2110/20F24F2130/00F24F2130/10G05B13/048G05D23/1917G06F17/5004G06F17/5009G06F2217/34
    • Systems and methods for modeling the behavior of an enclosure for use by a control system of an HVAC system are described. A model for the enclosure that describes the behavior of the enclosure for use by the control system is updated based on a weather forecast data. The weather forecast data can include predictions more than 24 hours in the future, and can include predictions such as temperature, humidity and/or dew point, solar output, precipitation. The model for the enclosure can also be updated based on additional information and data such as historical weather data such as temperature, humidity, wind, solar output and precipitation, occupancy data, such as predicted and/or detected occupancy data, calendar data, and data from the one or more weather condition sensors that sense current parameters such as temperature, humidity, wind, precipitation, and/or solar output. The model for the enclosure can be updated based also on an enclosure model stored in a database, and/or on enclosure information from a user. The model can be updated based on active testing of the enclosure which can be performed automatically or in response to user input. The testing can include heating and/or cooling the enclosure at times when the enclosure is not likely to be occupied.
    • 描述了用于对HVAC系统的控制系统使用的机箱的行为进行建模的系统和方法。 基于天气预报数据更新了描述控制系统使用的机柜行为的机箱型号。 天气预报数据可以包括将来超过24小时的预测,并且可以包括温度,湿度和/或露点,太阳能产出,降水等预测。 还可以根据诸如温度,湿度,风,太阳能输出和降水之类的历史天气数据,诸如预测和/或检测到的占用数据,日历数据等占用数据的附加信息和数据来更新机柜的型号,以及 来自一个或多个天气状况传感器的数据,其感测当前参数,例如温度,湿度,风,降水和/或太阳能输出。 还可以根据存储在数据库中的机箱型号和/或来自用户的机箱信息来更新机箱型号。 该模型可以基于可以自动执行或响应于用户输入的机箱的主动测试来更新。 在外壳不太可能被占用的时候,测试可以包括加热和/或冷却外壳。