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    • 1. 发明申请
    • METHOD AND SYSTEM FOR CONTROLLING COOLING SYSTEM OF POWER EQUIPMENT
    • 控制动力设备冷却系统的方法和系统
    • WO2017132981A1
    • 2017-08-10
    • PCT/CN2016/073620
    • 2016-02-05
    • ABB SCHWEIZ AGCHEN, YaoCHEN, NiyaYU, Rongrong
    • CHEN, YaoCHEN, NiyaYU, Rongrong
    • H01F27/08
    • H01F27/08
    • It provides a method for controlling cooling system of a power equipment and a system using the same. The method includes steps of: obtaining a first data set representing operational cost related parameters specific to the power equipment and its cooling system at a series of time intervals of a first load cycle in a history profile; obtaining a second data set representing operational cost related parameters specific to the power equipment and its cooling system at a series of time intervals of a second load cycle in the history profile, where the second load cycle follows the first load cycle; in consideration of the parameters represented by the first data set, through knowledge-based predetermined numerical and/or logical linkages, establishing a third data set representing optimal cooling capacity parameters for the cooling system at the series of time intervals of the first load cycle according to criteria for operational cost optimization of the power equipment; in consideration of the parameters represented by the second data set, through knowledge-based predetermined numerical and/or logical linkages, establishing a fourth data set representing optimal cooling capacity parameters for the cooling system at the series of time intervals of the second load cycle according to criteria for operational cost optimization of the power equipment; establishing a fifth data set representing a cooling capacity parameter difference between the established cooling capacity parameters concerning the first load cycle and the second load cycle; establishing a sixth data set representing cooling capacity parameters for the cooling system at a series of time intervals of a present load cycle by computationally correcting the established cooling capacity parameter concerning the time intervals of the second cycle load with use of the cooling capacity parameter difference; and controlling the cooling system to operate at a series of time intervals of the present load cycle at the established cooling capacity parameters concerning the present load cycle represented by the sixth data set.
    • 提供了一种用于控制电力设备的冷却系统的方法和使用该方法的系统。 该方法包括以下步骤:在历史简档中以第一加载周期的一系列时间间隔获得表示与该电力设备及其冷却系统相关的特定于运行成本的参数的第一数据集; 在所述历史简档中的第二加载周期的一系列时间间隔处获得表示所述电力设备及其冷却系统特有的与运行成本相关的参数的第二数据集,其中所述第二加载周期遵循所述第一加载周期; 考虑到由第一数据集表示的参数,通过基于知识的预定数值和/或逻辑链接,建立第三数据集,其表示在第一负载循环的一系列时间间隔处针对冷却系统的最佳冷却能力参数, 以电力设备的运营成本优化标准; 考虑到由第二数据集表示的参数,通过基于知识的预定数值和/或逻辑链接,建立第四数据集,其表示在第二负载循环的一系列时间间隔处针对冷却系统的最佳冷却能力参数, 以电力设备的运营成本优化标准; 建立代表关于所述第一负载循环和所述第二负载循环的所述已建立的冷却能力参数之间的冷却能力参数差异的第五数据集; 通过使用所述冷却能力参数差计算校正关于所述第二循环负荷的时间间隔的所述建立的冷却能力参数,在当前负荷循环的一系列时间间隔处建立表示所述冷却系统的冷却能力参数的第六数据集; 并且控制冷却系统以当前负载循环的一系列时间间隔在关于由第六数据组表示的当前负载循环的既定冷却能力参数下运行。
    • 2. 发明申请
    • METHOD AND SYSTEM FOR CONTROLLING COOLING SYSTEM OF POWER EQUIPMENT
    • 控制动力设备冷却系统的方法和系统
    • WO2017088172A1
    • 2017-06-01
    • PCT/CN2015/095788
    • 2015-11-27
    • ABB SCHWEIZ AGCHEN, YaoCHEN, NiyaYU, Rongrong
    • CHEN, YaoCHEN, NiyaYU, Rongrong
    • G06F9/44
    • H01F27/08H01F27/33
    • It is therefore an objective of the invention to provide a method for controlling cooling system of a power equipment and a system using the same. The method includes obtaining a first data set representing operational cost related parameters specific to the power equipment and its cooling system forecasted for a series of time intervals of present load cycle in consideration of a second data set representing operational condition related parameters for the power equipment forecasted for a series of time intervals of present load cycle; in consideration of the parameters represented by the first data set, through knowledge-based predetermined numerical and/or logical linkages, establishing a third data set representing cooling capacity parameters for the cooling system at the series of time intervals of the present load cycle according to criteria for operational cost optimization of the power equipment and its cooling system for the present load cycle; and in the present load cycle, controlling the cooling system to operate at the cooling capacity parameters at the series of time intervals represented by the established third data set. By considering the correlations between different time intervals into and making the cooling optimization valid not only at the specific time interval but also in an entire load cycle, the cooling capacities in the next at least one load cycle is optimized.
    • 因此,本发明的目的是提供一种用于控制动力设备的冷却系统的方法和使用该方法的系统。 该方法包括考虑代表预测的电力设备的运行条件相关参数的第二数据集,获得表示针对当前负载循环的一系列时间间隔预测的针对电力设备及其冷却系统特定的运行成本相关参数的第一数据集 对于当前负载循环的一系列时间间隔; 考虑到由第一数据集表示的参数,通过基于知识的预定数值和/或逻辑链接,建立第三数据集,该第三数据集表示在当前负载循环的一系列时间间隔处的冷却系统的冷却能力参数,根据 针对当前负载循环的动力设备及其冷却系统的运营成本优化标准; 并且在当前负载循环中,控制冷却系统以由所建立的第三数据集表示的一系列时间间隔处的冷却能力参数运行。 通过考虑不同时间间隔之间的相关性,并且使冷却优化不仅在特定时间间隔而且在整个负载循环中都有效,则在下一个至少一个负载循环中的冷却能力被优化。
    • 3. 发明申请
    • WIND FARM CONDITION MONITORING METHOD AND SYSTEM
    • 风力农业条件监测方法与系统
    • WO2016086360A1
    • 2016-06-09
    • PCT/CN2014/092813
    • 2014-12-02
    • ABB TECHNOLOGY LTDCHEN, NiyaYU, RongrongCHEN, Yao
    • CHEN, NiyaYU, RongrongCHEN, Yao
    • G01R31/34F03D7/00
    • F03D17/00F03D7/045F03D7/048F05B2260/84G01R31/34G05B23/021G05B23/0254Y02E10/723
    • A wind farm condition monitoring method and system, comprises: acquiring historical SCADA data, and/or historical sensor data received from sensors which are installed in a wind farm, and historical wind turbine status which indicate wind turbines historical status (101); selecting algorithm for all types of historical data sources according to pre-defined basic rules, training different models for different historical data sources to establish relationship between the historical data sources and the historical wind turbine status (102); acquiring real time SCADA data and/or real time sensor data as real time data source, selecting the trained model depending on type of the real time data source, inputting the real time data source to the selected trained model, obtaining the real time wind turbine status (103).
    • 一种风电场状态监测方法和系统,包括:获取历史SCADA数据和/或从安装在风电场中的传感器接收的历史传感器数据,以及指示风力涡轮机历史状态的历史风力涡轮机状态(101); 根据预定义的基本规则为所有类型的历史数据源选择算法,为不同的历史数据源训练不同的模型,建立历史数据源与历史风力发电机状态之间的关系(102); 以实时数据源获取实时SCADA数据和/或实时传感器数据,根据实时数据源的类型选择经过训练的模型,将实时数据源输入到选定的训练模型,获取实时风力发电机 状态(103)。
    • 4. 发明申请
    • WIND TURBINE CONDITION MONITORING METHOD AND SYSTEM
    • 风力涡轮机状态监测方法与系统
    • WO2016077997A1
    • 2016-05-26
    • PCT/CN2014/091425
    • 2014-11-18
    • ABB TECHNOLOGY LTDYU, RongrongCHEN, NiyaCHEN, Yao
    • YU, RongrongCHEN, NiyaCHEN, Yao
    • F03D7/00G01M13/00
    • F03D17/00F05B2260/80F05B2260/83F05B2260/84G06N99/005
    • A wind turbine condition monitoring method and system. The method comprises the following steps: acquiring historical SCADA data, and wind turbine reports corresponding to the historical SCADA data, wherein the historical SCADA data covers operation data of the wind turbine, and wherein the wind turbine reports covers: health condition of wind turbine diagnosed as normal or defective status, and defective component with corresponding fault details if health condition of wind turbine is diagnosed as defective status; model training step: training an overall model for overall diagnosing the wind turbine, and training different individual models for analyzing different components of the wind turbine based on the historical SCADA data and the corresponding wind turbine report, by establishing relationship between the historical SCADA data and the wind turbine report; overall diagnosing step: acquiring real time SCADA data, inputting the real time SCADA data to the trained overall model, obtaining the health condition of the wind turbine from the trained overall model, and performing individual diagnosing step if the trained overall model determines wind turbine as defective status; individual diagnosing step: inputting the real time SCADA data to the trained individual model corresponding to the defective component, and obtaining the fault details of the defective component from the trained individual model corresponding to the defective component. The method can benefit wind turbine operator in terms of saving installation of additional monitoring sensors due to pure SCADA-data-driven technology and accelerating algorithm execution efficiency due to hierarchical concept structure.
    • 风力发电机状况监测方法及系统。 该方法包括以下步骤:获取历史SCADA数据和与历史SCADA数据相对应的风力发电机报告,其中历史SCADA数据涵盖风力涡轮机的运行数据,其中风力涡轮机报告涵盖:诊断的风力涡轮机的健康状况 作为正常或缺陷状态,以及如果风力涡轮机的健康状况被诊断为缺陷状态,则具有相应故障细节的缺陷部件; 模型训练步骤:根据历史SCADA数据和相应的风力发电机报告,通过建立历史SCADA数据与历史SCADA数据之间的关系,对整个风力发电机组的整体诊断情况进行整体模拟,并对不同的风力发电机组成分进行分析。 风力发电机报告; 总体诊断步骤:获取实时SCADA数据,将实时SCADA数据输入到训练有素的整体模型,从训练有素的整体模型中获取风力发电机的健康状况,并且如果训练有素的整体模型将风力发电机确定为 缺陷状态; 单独诊断步骤:将实时SCADA数据输入到与故障组件对应的经过训练的个人模型,并从与缺陷组件对应的经过训练的单独模型中获得缺陷组件的故障细节。 由于采用纯SCADA数据驱动技术,由于分层概念结构,加速了算法执行效率,该方法可以有利于风力发电机运行人员的节省安装附加监控传感器。
    • 5. 发明申请
    • CONTROL SYSTEM FOR ELECTRIC VEHICLE STATION AND CONTROL METHOD FOR THE SAME
    • 电动车站控制系统及其控制方法
    • WO2017117702A1
    • 2017-07-13
    • PCT/CN2016/070022
    • 2016-01-04
    • ABB SCHWEIZ AGHUANG, XingKAPTEIN, JohanYU, RongrongCHEN, Yao
    • HUANG, XingKAPTEIN, JohanYU, RongrongCHEN, Yao
    • H02J7/02B60L11/18
    • H02J3/32H02J7/0027H02J2007/005Y02E60/721Y02T10/7055Y02T90/168Y04S10/126Y04S30/12
    • It provides a control system (12) for an EVCS (1) and control method. The control system (12) includes: an input module (120), being adapted for inputting a data representing a power reference for leveling power supplied from a utility grid (10); and a control module (121), being adapted for keeping charge of the battery (140) of the at least one EV (14) until the SOC of the battery (140) of the respective one of the at least one EV (14) increases to respective predetermined level and for changing SOC of its battery (140) afterwards in consideration of the power reference to level the power supplied from the utility grid (10) provided that a measurement of the SOC of its battery (140) is kept within respective predetermined range from the respective predetermined level. It takes the EV (14) charging with higher priority than the AS. Charger (11) will charge EV (14) to the value required by customer firstly, and use only certain part or entirety of EV battery capacity to provide AS. In this way, the EV (14) charging deviation will be limited into the certain value or entirety of EV battery capacity that does not disrupt EV (14) drive, even when the customer randomly leave before the time they committed.
    • 它提供了用于EVCS(1)的控制系统(12)和控制方法。 所述控制系统(12)包括:输入模块(120),其适于输入表示用于使从公用电网(10)供应的功率参考的功率参考的数据; 和控制模块(121),适于保持所述至少一个EV(14)的所述电池(140)的充电,直到所述至少一个EV(14)中的相应一个的所述电池(140) 增加到相应的预定水平,并且考虑到功率基准来改变其电池(140)的SOC,以便对从公用电网(10)供应的电力进行平衡,只要其电池(140)的SOC的测量值保持在 相应的预定范围与相应的预定水平相关。 EV(14)的收费优先于AS。 充电器(11)首先将EV(14)充电至客户要求的数值,并且仅使用EV电池容量的一定部分或全部来提供AS。 这样,即使客户在提交时间之前随机离开,EV(14)充电偏差也会限制在不会中断EV(14)驱动的EV电池容量的特定值或整体中。
    • 9. 发明申请
    • METHOD FOR WINDMILL FARM MONITORING
    • WINDMILL农场监测方法
    • WO2016192786A1
    • 2016-12-08
    • PCT/EP2015/062389
    • 2015-06-03
    • ABB SCHWEIZ AG
    • CHIOUA, MoncefCHEN, Ni YaYU, RongRongZHOU, YingyaCHEN, Yao
    • F03D17/00
    • F03D17/00F05B2240/96G06F11/30Y02B10/30
    • The invention is related to a method for monitoring turbines (122, 124) of a windmill farm (120), comprising the following steps: providing a global nominal dataset containing frame data of the turbines (122, 124) of the windmill farm (120) and continuous reference monitoring data of the turbines (122, 124) for a first period in the fault free state, wherein the reference monitoring data comprise at least two same monitoring variables for each turbine (122, 124); building a nominal global model based on the global nominal dataset which describes the relationship inbetween the wind-mill turbines (122, 124) and clustering (22, 24, 26, 126, 128, 130) the turbines (122, 24) according thereto; assigning the data of the global nominal dataset to respective nominal local datasets according to the clustering (22, 24, 26, 126, 128, 130); building a nominal local model for the turbines of each cluster (22, 24, 26, 126, 128, 130) based on the respective assigned nominal local datasets, wherein the nominal local model is built in that way, that a nonconformity index (NC) is provideable which is indicating the degree of nonconformity between data projected on the local model and the model itself; providing a test dataset with continuous test monitoring data of the turbines of the windmill farm for a further period, wherein those continuous test monitoring data are structured in the same way than the continuous reference monitoring data in the nominal global dataset and wherein the clustering (22, 24, 26, 126, 28, 130) of the nominal global dataset is also applied on the test dataset; cluster wise (22, 24, 26, 126, 128, 130) projection of continuous test monitoring data of the test dataset on the respective assigned nominal local models of the turbines and deriving a nonconformity index (NC) for each respective turbine therefrom; indicating a turbine (122, 124) as critical in case that the respective related nonconformity index exceeds a given limit.
    • 本发明涉及一种用于监测风车场(120)的涡轮机(122,124)的方法,包括以下步骤:提供包含风车场(120,122)的涡轮机(122,124)的帧数据的全局标称数据集 )和在无故障状态下的第一周期的涡轮机(122,124)的连续参考监测数据,其中所述参考监测数据包括用于每个涡轮机(122,124)的至少两个相同的监测变量; 基于全球标称数据集建立名义全局模型,其描述风轮机(122,124)和聚集(22,24,26,126,128,130)之间的风力涡轮机(122,24)的关系。 ; 根据聚类(22,24,26,126,128,130)将全局标称数据集的数据分配给相应的标称本地数据集; 基于相应分配的标称本地数据集,为每个集群(22,24,26,126,128,130)的涡轮机建立标称本地模型,其中标称本地模型以这种方式构建,不符合指数(NC )是可以提供的,这表明在本地模型上预测的数据与模型本身之间的不符合程度; 提供具有风车场的涡轮机的连续测试监测数据的测试数据集,其中这些连续测试监视数据以与标称全局数据集中的连续参考监视数据相同的方式构造,并且其中聚类(22 ,24,26,126,28,130)也被应用于测试数据集; 对各个分配的涡轮机的标称局部模型的测试数据集的连续测试监视数据进行集群(22,24,26,126,112,130)的投影,并为每个相应的涡轮机导出不合格指数(NC); 指示涡轮机(122,124)在相应的相关不合格指数超过给定极限的情况下是至关重要的。