公开(公告)号：US09292011B2

公开(公告)日：2016-03-22

申请号：US14113633

申请日：2012-04-24

申请人： Hideaki Suzuki ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama ,  Takashi Saeki ,  Kesaaki Minemura ,  Jyunsuke Fujiwara

发明人： Hideaki Suzuki ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama ,  Takashi Saeki ,  Kesaaki Minemura ,  Jyunsuke Fujiwara

IPC分类号： G05B15/02 ,  E02F9/26 ,  G06Q10/00

CPC分类号： G05B15/02 ,  E02F9/267 ,  G06Q10/20

摘要： A hydraulic shovel includes: a storage unit which stores an operation history of a target component of the shovel targeted for life span estimation, a discrimination threshold value used for classifying usage of the target component into a plurality of usage modes based on the operation history, and a usage mode-specific estimated life span indicative of an estimated life span of the target component in each of the usage modes; and an arithmetic and control unit which calculates an operating time of the target component in each of the usage modes in accordance with the operation history and the discrimination threshold value, and estimates the life span of the target component based on the operating time calculated for each of the usage modes and on the usage mode-specific estimated life span.

摘要翻译： 液压挖掘机包括：存储单元，其存储针对寿命估计的铲的目标分量的操作历史;基于操作历史将用于将目标分量的使用分类为多个使用模式的鉴别阈值， 以及指示每个使用模式中目标组件的估计使用寿命的使用模式特定估计寿命; 以及算术和控制单元，其根据操作历史和鉴别阈值来计算每个使用模式中的目标分量的操作时间，并且基于针对每个使用模式计算的操作时间来估计目标分量的寿命 的使用模式和使用模式特定的估计寿命。

公开(公告)号：US20120290178A1

公开(公告)日：2012-11-15

申请号：US13522505

申请日：2011-01-19

申请人： Hideaki Suzuki ,  Yoshinori Furuno ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama ,  Hideyuki Tanaka ,  Katsuaki Tanaka ,  Toshikazu Minoshima

发明人： Hideaki Suzuki ,  Yoshinori Furuno ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama ,  Hideyuki Tanaka ,  Katsuaki Tanaka ,  Toshikazu Minoshima

IPC分类号： E02F9/26

CPC分类号： E02F9/265 ,  E02F9/2045 ,  G01G19/08 ,  G01G19/083 ,  G01G23/3728

摘要： Provided is a system by which a loading machine (202) guides a hauling machine (201) on the weight and the position of materials loaded on the hauling machine (202). The system includes: loaded state detection means (5, 6) for detecting the weight “p” and position “x” of materials already loaded on the hauling machine; hauling basic information storage means (7) for storing hauling basic information concerning the loaded state of the hauling machine; loading performance information storage means (11) for storing the loading performance information concerning the loading capacity of the loading machine; next operation calculation means (10) for calculating the next loading weight and the next loading position at which the loading machine should load materials in the next operation based on the hauling basic information, the loading performance information, and the weight and the position of materials on the hauling machine; and a display unit (12) that guides the operator of the loading machine on the next loading weight and the next loading position. This system enables the loading machine to load materials onto the hauling machine with high working efficiency.

摘要翻译： 提供了一种系统，通过该系统，装载机（202）引导牵引机（201）重量和装载在牵引机（202）上的材料的位置。 该系统包括：用于检测已经装载在牵引机上的材料的重量p和位置x的装载状态检测装置（5,6） 运送基本信息存储装置（7），用于存储关于牵引机的装载状态的运输基本信息; 装载性能信息存储装置（11），用于存储关于装载机的装载能力的装载性能信息; 下一个操作计算装置（10），用于计算下一个装载重量和下一个装载位置，在该装载位置下，装载机将根据拖运基本信息，装载性能信息以及材料的重量和位置在下一个操作中装载材料 在牵引机上 以及显示单元（12），其引导装载机的操作者处于下一个装载重量和下一个装载位置。 该系统使装载机以高工作效率将材料装载到牵引机上。

公开(公告)号：US20140052299A1

公开(公告)日：2014-02-20

申请号：US14113633

申请日：2012-04-24

申请人： Hideaki Suzuki ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama ,  Takashi Saeki ,  Kesaaki Minemura ,  Jyunsuke Fujiwara

发明人： Hideaki Suzuki ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama ,  Takashi Saeki ,  Kesaaki Minemura ,  Jyunsuke Fujiwara

IPC分类号： G05B15/02

CPC分类号： G05B15/02 ,  E02F9/267 ,  G06Q10/20

摘要： A hydraulic shovel (1) constituted by a plurality of components includes: a storage unit (20) which stores an operation history of a target component included in the plurality of components and targeted for life span estimation, a discrimination threshold value used for classifying usage of the target component into a plurality of usage modes based on the operation history, and a usage mode-specific estimated life span indicative of an estimated life span of the target component in each of the usage modes; and an arithmetic and control unit (10) which performs a process of calculating an operating time of the target component in each of the usage modes in accordance with the operation history of the target component and the discrimination threshold value, and a process of estimating the life span of the target component based on the operating time of the target component calculated for each of the usage modes in the aforementioned process and on the usage mode-specific estimated life span. This makes it possible to improve the accuracy in estimating the life spans of components constituting an operating machine.

摘要翻译： 由多个部件构成的液压铲（1）包括：存储单元（20），存储包括在多个部件中的目标成分的操作历史，并且用于寿命估计，用于对使用进行分类的判别阈值 基于操作历史的目标组件的多个使用模式以及指示每个使用模式中的目标组件的估计使用寿命的使用模式特定的估计寿命范围; 以及算术和控制单元（10），其根据目标分量的操作历史和鉴别阈值执行计算每个使用模式中的目标分量的操作时间的处理，以及估计 基于针对上述处理中的每个使用模式计算的目标组件的操作时间和使用模式特定估计寿命，目标组件的使用寿命。 这使得可以提高估计构成操作机器的部件的寿命的精度。

公开(公告)号：US09678845B2

公开(公告)日：2017-06-13

申请号：US13881543

申请日：2011-10-20

申请人： Hideaki Suzuki ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama

发明人： Hideaki Suzuki ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama

IPC分类号： G01F19/00 ,  G06F11/30 ,  G05B23/02 ,  G07C3/00

CPC分类号： G06F11/30 ,  G05B23/0208 ,  G05B23/0221 ,  G05B23/0237 ,  G05B23/0264 ,  G05B23/0272 ,  G07C3/00

摘要： An object of the present invention is to provide an abnormality diagnostic system that can enhance diagnostic precision even if a computer arranged on the machine side does not have sufficient throughput in diagnosing a condition of a machine or equipment based upon time series data generated by a sensor and can reduce communication capacity because communication data volume decreases and industrial machinery provided with the abnormality diagnostic system. A diagnostic device on the machine side 2 diagnoses time series data generated by a sensor, acquires a primary diagnostic result, extracts time series data related to the primary diagnostic result and outputs it to a diagnostic device on the server side 3 together with the primary diagnostic result, the diagnostic device on the server side 3 diagnoses the time series data, acquires a secondary diagnostic result, and displays the secondary diagnostic result together with the primary diagnostic result. Besides, the diagnostic device on the server side compares the diagnostic results and updates a diagnostic process of the diagnostic device on the machine side 2 when the diagnostic results are different as a result of the comparison.

公开(公告)号：US20130218522A1

公开(公告)日：2013-08-22

申请号：US13881543

申请日：2011-10-20

申请人： Hideaki Suzuki ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama

发明人： Hideaki Suzuki ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama

IPC分类号： G06F11/30

CPC分类号： G06F11/30 ,  G05B23/0208 ,  G05B23/0221 ,  G05B23/0237 ,  G05B23/0264 ,  G05B23/0272 ,  G07C3/00

摘要： An object of the present invention is to provide an abnormality diagnostic system that can enhance diagnostic precision even if a computer arranged on the machine side does not have sufficient throughput in diagnosing a condition of a machine or equipment based upon time series data generated by a sensor and can reduce communication capacity because communication data volume decreases and industrial machinery provided with the abnormality diagnostic system. A diagnostic device on the machine side 2 diagnoses time series data generated by a sensor, acquires a primary diagnostic result, extracts time series data related to the primary diagnostic result and outputs it to a diagnostic device on the server side 3 together with the primary diagnostic result, the diagnostic device on the server side 3 diagnoses the time series data, acquires a secondary diagnostic result, and displays the secondary diagnostic result together with the primary diagnostic result. Besides, the diagnostic device on the server side compares the diagnostic results and updates a diagnostic process of the diagnostic device on the machine side 2 when the diagnostic results are different as a result of the comparison.

摘要翻译： 本发明的目的是提供一种异常诊断系统，其即使在机器侧设置的计算机根据由传感器生成的时间序列数据来诊断机器或设备的状况也不具备足够的吞吐量，也能提高诊断精度 并且由于通信数据量的减少以及与异常诊断系统一起提供的工业机械，能够降低通信能力。 机器侧的诊断装置2诊断由传感器生成的时间序列数据，获取主要诊断结果，提取与主诊断结果相关的时间序列数据，并将其输出到服务器侧3的诊断装置以及主诊断 结果，服务器端的诊断设备3诊断时间序列数据，获取辅助诊断结果，并将主诊断结果与主要诊断结果一起显示。 此外，作为比较的结果，当诊断结果不同时，服务器侧的诊断装置比较诊断结果并更新机器侧2上的诊断装置的诊断过程。

公开(公告)号：US09122273B2

公开(公告)日：2015-09-01

申请号：US13578034

申请日：2010-02-26

申请人： Hiroki Uchiyama ,  Shinya Yuda ,  Hideaki Suzuki ,  Kozo Nakamura

发明人： Hiroki Uchiyama ,  Shinya Yuda ,  Hideaki Suzuki ,  Kozo Nakamura

IPC分类号： G06F15/00 ,  G05B23/02

CPC分类号： G05B23/0221 ,  G05B23/0278 ,  G05B2219/24019 ,  G05B2219/24042

摘要： The invention is related to a system and a method to determine whether a target equipment deviates from a normal state. If it is determined that the target equipment to be diagnosed deviates from the normal state, the degree of deviation of each parameter from the normal state as the reference is calculated as an abnormal contribution ratio. A failure cause is estimated from a similarity ratio between the calculated abnormal contribution ratio and the abnormal contribution ratio of each of the failure causes collected in the past and including failure phenomena and failure parts.

摘要翻译： 本发明涉及一种确定目标设备是否偏离正常状态的系统和方法。 如果确定要诊断的目标设备偏离正常状态，则将每个参数与作为基准的正常状态的偏差程度计算为异常贡献率。 根据计算出的异常贡献率与过去收集的每个故障原因的异常贡献率，包括故障现象和故障部分之间的相似度估计故障原因。

公开(公告)号：US08838324B2

公开(公告)日：2014-09-16

申请号：US13575668

申请日：2010-01-28

申请人： Hideaki Suzuki ,  Yoshinori Furuno ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama

发明人： Hideaki Suzuki ,  Yoshinori Furuno ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama

IPC分类号： G06F11/30 ,  G06F11/00 ,  G06F7/70 ,  G06F19/00 ,  E02F9/26 ,  B66C13/16 ,  E02F9/20 ,  G05B23/02 ,  G06Q10/06

CPC分类号： E02F9/2025 ,  B66C13/16 ,  E02F9/264 ,  E02F9/267 ,  G05B23/0278 ,  G06Q10/06

摘要： Monitoring and diagnosing device including: a classification information storage section; frequency information storage section: a first data classifier section reading out reference classification information from the classification information storage section, comparing operational data, detected by a plurality of sensors and inputted in time sequence, with the reference classification information to classify the operational data, and then generating operational data classification information; a frequency comparator section compiling the operational data classification information, generating operational data frequency information by adding, to the operational data classification information, appearance frequency information for each classification of operational data, reading out reference frequency information from the frequency information storage section, and then generating operational data frequency comparison information by comparing operational data frequency information with the reference frequency information; and an abnormality diagnosing section performing an abnormality diagnosis upon the working machine by use of the operational data classification information and operational data frequency comparison information.

摘要翻译： 监测和诊断装置包括：分类信息存储部分; 频率信息存储部分：从分类信息存储部分读取参考分类信息的第一数据分类器部分，将由多个传感器检测并且按时间顺序输入的操作数据与参考分类信息进行比较以对操作数据进行分类;以及 然后生成操作数据分类信息; 频率比较器部分，编译操作数据分类信息，通过向操作数据分类信息添加用于操作数据的每个分类的出现频率信息，从频率信息存储部分读出参考频率信息，生成操作数据频率信息，然后 通过将操作数据频率信息与参考频率信息进行比较来产生操作数据频率比较信息; 以及异常诊断部，其通过使用所述操作数据分类信息和操作数据频率比较信息对所述作业机进行异常诊断。

公开(公告)号：US20120317444A1

公开(公告)日：2012-12-13

申请号：US13575668

申请日：2010-01-28

申请人： Hideaki Suzuki ,  Yoshinori Furuno ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama

发明人： Hideaki Suzuki ,  Yoshinori Furuno ,  Kozo Nakamura ,  Shinya Yuda ,  Hiroki Uchiyama

IPC分类号： G06F11/30

CPC分类号： E02F9/2025 ,  B66C13/16 ,  E02F9/264 ,  E02F9/267 ,  G05B23/0278 ,  G06Q10/06

摘要： Monitoring and diagnosing device including: a classification information storage section; frequency information storage section; a first data classifier section reading out reference classification information from the classification information storage section, comparing operational data, detected by a plurality of sensors and inputted in time sequence, with the reference classification information to classify the operational data, and then generating operational data classification information; a frequency comparator section compiling the operational data classification information, generating operational data frequency information by adding, to the operational data classification information, appearance frequency information for each classification of operational data, reading out reference frequency information from the frequency information storage section, and then generating operational data frequency comparison information by comparing operational data frequency information with the reference frequency information; and an abnormality diagnosing section performing an abnormality diagnosis upon the working machine by use of the operational data classification information and operational data frequency comparison information.

摘要翻译： 监测和诊断装置包括：分类信息存储部分; 频率信息存储部分; 从分类信息存储部分读取参考分类信息的第一数据分类器部分，将由多个传感器检测并且按时间顺序输入的操作数据与参考分类信息进行比较，以分类操作数据，然后生成操作数据分类 信息; 频率比较器部分，编译操作数据分类信息，通过向操作数据分类信息添加用于操作数据的每个分类的出现频率信息，从频率信息存储部分读出参考频率信息，生成操作数据频率信息，然后 通过将操作数据频率信息与参考频率信息进行比较来产生操作数据频率比较信息; 以及异常诊断部，其通过使用所述操作数据分类信息和操作数据频率比较信息对所述作业机进行异常诊断。

公开(公告)号：US20120310597A1

公开(公告)日：2012-12-06

申请号：US13578034

申请日：2010-02-26

申请人： Hiroki Uchiyama ,  Shinya Yuda ,  Hideaki Suzuki ,  Kozo Nakamura

发明人： Hiroki Uchiyama ,  Shinya Yuda ,  Hideaki Suzuki ,  Kozo Nakamura

IPC分类号： G06F15/00

CPC分类号： G05B23/0221 ,  G05B23/0278 ,  G05B2219/24019 ,  G05B2219/24042

摘要： Conditional base maintenance has been gaining widespread acceptance, with numerous sensors attached to equipment for constant monitoring of its operational state, the resulting sensor data being compared with those about the equipment in the normal state for a diagnosis to determine whether the equipment is currently operating normally, the result of the diagnosis being used to conduct maintenance. Conditional base maintenance can rapidly detect aging deterioration of the equipment, so that abnormal sates that were not detected before in time base maintenance can now be detected. However, although conventional diagnosis technology can distinguish between the normal state and anomaly, it has been difficult with such technology to identify causes including abnormal phenomena and parts. If it is determined that the target equipment to be diagnosed deviates from the normal state, the degree of deviation of each parameter from the normal state as the reference is calculated as an abnormal contribution ratio. A failure cause is estimated from a similarity ratio between the calculated abnormal contribution ratio and the abnormal contribution ratio of each of the failure causes collected in the past and including failure phenomena and failure parts.

摘要翻译： 有条件的基地维护得到了广泛的接受，许多传感器连接到设备上，用于持续监控其运行状态，所得到的传感器数据与正常状态下的设备进行比较，以进行诊断，以确定设备是否正常运行 ，诊断结果用于进行维护。 有条件的基座维护可以快速检测设备的老化恶化，从而可以检测到在时基维护中未检测到的异常状态。 然而，虽然常规诊断技术可以区分正常状态和异常现象，但是通过这种技术难以识别出异常现象和部件的原因。 如果确定要诊断的目标设备偏离正常状态，则将每个参数与作为基准的正常状态的偏差程度计算为异常贡献率。 根据计算出的异常贡献率与过去收集的每个故障原因的异常贡献率，包括故障现象和故障部分之间的相似度估计故障原因。

公开(公告)号：US20120035802A1

公开(公告)日：2012-02-09

申请号：US13202140

申请日：2010-02-19

申请人： Hideaki Suzuki ,  Yoshinori Furuno ,  Kenji Araki ,  Kozo Nakamura ,  Shinya Yuda ,  Hirotaka Takahashi

发明人： Hideaki Suzuki ,  Yoshinori Furuno ,  Kenji Araki ,  Kozo Nakamura ,  Shinya Yuda ,  Hirotaka Takahashi

IPC分类号： G06F11/00 ,  G06F19/00

CPC分类号： E02F9/26 ,  B60R16/0315 ,  E02F9/267 ,  F02D41/22 ,  G05B23/0235 ,  G07C5/008 ,  G07C5/0808 ,  G07C5/085

摘要： A learning diagnostic system for a working machine is capable of making a fault diagnosis of the working machine universally relative to various types of sensor information, and preventing a failure in the working machine by enabling a fault diagnosis even in a transient operating state that represents a transitional state between operating states. A state learning device 201 sorts inputted sensor data 101a into one under a steady operating state and one under a transient operating state, and generates, through learning, steady state data 102a and intermediate state data 103a, each including a permissible error. A state diagnostic device 202 uses the steady state data 102a to determine whether an operating state of the working machine related to the inputted sensor data is the steady operating state or the transient operating state, and make a fault determination in the steady operating state. The state diagnostic device 202 also uses the intermediate state data 103a to make a fault determination in the determined transient operating state. The intermediate state data 103a also includes intermediate point information.

摘要翻译： 用于工作机器的学习诊断系统能够相对于各种类型的传感器信息普遍地对工作机器进行故障诊断，并且即使在代表一个操作状态的瞬态操作状态下也能够通过启用故障诊断来防止工作机器中的故障 经营状态之间的过渡状态。 状态学习装置201将输入的传感器数据101a分解为处于稳定运行状态的一个，并且在瞬态运行状态下将输入的传感器数据101a分类为一个，并通过学习产生每个包括容许误差的稳态数据102a和中间状态数据103a。 状态诊断装置202使用稳态数据102a来确定与输入的传感器数据相关的工作机的工作状态是稳定工作状态还是暂态操作状态，并且在稳定操作状态下进行故障确定。 状态诊断装置202还使用中间状态数据103a在所确定的瞬时动作状态下进行故障判定。 中间状态数据103a还包括中间点信息。