WO2013053134A1 - Excavator, and method and system for determining equipment failure - Google Patents

Excavator, and method and system for determining equipment failure Download PDF

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Publication number
WO2013053134A1
WO2013053134A1 PCT/CN2011/080812 CN2011080812W WO2013053134A1 WO 2013053134 A1 WO2013053134 A1 WO 2013053134A1 CN 2011080812 W CN2011080812 W CN 2011080812W WO 2013053134 A1 WO2013053134 A1 WO 2013053134A1
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Prior art keywords
node
fault
child
determining
failure
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PCT/CN2011/080812
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French (fr)
Chinese (zh)
Inventor
李昱
费胜巍
李明
吴耀华
张刊
Original Assignee
中联重科股份有限公司
湖南中联重科专用车有限责任公司
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Priority to PCT/CN2011/080812 priority Critical patent/WO2013053134A1/en
Publication of WO2013053134A1 publication Critical patent/WO2013053134A1/en

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    • EFIXED CONSTRUCTIONS
    • E02HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
    • E02FDREDGING; SOIL-SHIFTING
    • E02F9/00Component parts of dredgers or soil-shifting machines, not restricted to one of the kinds covered by groups E02F3/00 - E02F7/00
    • E02F9/26Indicating devices
    • E02F9/267Diagnosing or detecting failure of vehicles
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults

Definitions

  • the root node is an excavator, and each of the remaining nodes represents a subsystem or a component of the excavator, and the child nodes represent subsystems or components in the system represented by its parent node.
  • the device structure shown in FIG. 2 can be employed.
  • 2 is a schematic illustration of an excavator tree in accordance with an embodiment of the present invention.
  • the excavator is the root node A, and the excavator includes subsystems such as a power system, an actuator, a hydraulic system, an electrical system, etc.
  • the root node A also includes a plurality of sub-nodes, such as Bl, B2, B3, B4.
  • the system 50 for determining equipment failure primarily includes determining means 51 and output means 52.
  • the device can be called by the fault diagnostic module of the functional layer in Figure 4.
  • the determining device 51 is configured to determine, according to a preset association relationship between the fault and the child node, a fault of the current node and the first node from the root node in the tree data structure describing the device structure when the device is abnormal.
  • the fault is in the child node of the current node; the root node in the tree data structure is the device, and each of the remaining nodes represents a subsystem or a component of the device, and the child node represents its parent node A subsystem or component in the system represented.
  • Relevant data can be retrieved from the model layer in Figure 4.
  • the above-mentioned devices or steps of the present invention can be implemented by a general-purpose computing device, which can be concentrated on a single computing device or distributed over a network composed of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device, such that they may be stored in the storage device by the computing device, or they may be separately fabricated into individual integrated circuit devices, or they may be Multiple devices or steps are made into a single integrated circuit device.
  • the invention is not limited to any specific combination of hardware and software.
  • the above is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Mining & Mineral Resources (AREA)
  • Civil Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Structural Engineering (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Operation Control Of Excavators (AREA)

Abstract

Disclosed is a method for determining equipment failure, comprising: when an abnormality occurs in the equipment, determining step-by-step a failure in the current node and a child node in the child nodes of the current node that corresponds to the failure, starting from a root node (A) in a tree form data structure delineating the structure of the equipment, and according to a preset correlated relationship between a failure and a child node (B1, B2, B3, B4); and if the corresponding child node is an end node, outputting information about the failure associated with the end node. The root node in the tree form data structure is a device, each of the remaining nodes thereof represents a sub-system or a component of the device, and the child nodes represent a sub-system or a component in the system represented by the parent node thereof. Also disclosed are an excavator and a system for determining equipment failure. Using the method and system facilitates rapid and accurate determination of equipment failure.

Description

挖掘机以及确定设备故障的方法、 系统 技术领域 本发明涉及设备故障诊断技术领域, 特别是涉及一种挖掘机以及确定设备故障的 方法、 系统。 背景技术 挖掘机是一种常用的工程机械, 其组成零部件较多、 结构复杂, 其中每个组成部 分发生故障的类型也较多, 因此当挖掘机出现异常时, 如何确定其故障成为一个不小 的难题。 类似地, 随着技术的发展, 各种设备的复杂度越来越高, 相应地当设备出现 异常时, 确定故障也变得困难。 目前对于设备故障的确定通常是由人员根据设备的技术文档例如使用手册、 产品 说明书等资料, 结合自身经验进行分析, 这种方式由于人员经验和精力所限, 难以快 速准确地确定设备的故障。 发明内容 本发明的主要目的是提供一种挖掘机以及确定设备故障的方法、 装置, 以解决现 有技术难以快速准确地确定设备的故障的问题。 为了实现上述目的, 根据本发明的一个方面, 提供了一种确定设备故障的方法。 本发明的确定设备故障的方法包括: 当所述设备发生异常时, 从描述设备结构的 树形数据结构中的根节点起, 按照故障与子节点间的预设的关联关系, 逐级确定当前 节点的故障以及该故障在当前节点的子节点中对应的子节点, 当该对应的子节点为末 节点时, 输出与该末节点相关联的故障的信息; 所述树形数据结构中的根节点为所述 设备, 其余每个节点表示所述设备的一个子系统或一个部件, 子节点表示其父节点所 表示的系统中的子系统或部件。 根据本发明的另一方面, 提供了一种确定设备故障的系统。 本发明的确定设备故障的系统包括: 确定装置, 用于当所述设备发生异常时, 从 描述设备结构的树形数据结构中的根节点起,按照故障与子节点间的预设的关联关系, 逐级确定当前节点的故障以及该故障在当前节点的子节点中对应的子节点; 所述树形 数据结构中的根节点为所述设备, 其余每个节点表示所述设备的一个子系统或一个部 件, 子节点表示其父节点所表示的系统中的子系统或部件; 输出装置, 用于当所述确 定装置确定的子节点为末节点时, 输出与该末节点相关联的故障的信息。 根据本发明的又一方面, 提供了一种挖掘机, 该挖掘机中设置有本发明的确定设 备故障的系统。 根据本发明的技术方案, 在子系统的故障与表示该子系统的节点的子节点之间建 立了关联关系, 这种关联关系主要基于挖掘机的诊断知识, 进行故障诊断时按上述关 联关系层层搜索直到确定一个具体的零部件, 这种方式能够有效利用挖掘机诊断知识 并使故障推理具有层次性, 提高故障诊断的准确度及显示故障传播路径, 从而提高挖 掘机诊断与维修效率。 附图说明 说明书附图用来提供对本发明的进一步理解, 构成本申请的一部分, 本发明的示 意性实施例及其说明用于解释本发明, 并不构成对本发明的不当限定。 在附图中: 图 1是根据本发明实施例的确定设备故障的方法的示意图; 图 2是根据本发明实施例中挖掘机结构树的示意图; 图 3是根据本发明实施例的挖掘机诊断知识树状结构的示意图; 图 4是根据本发明实施例的设备故障诊断知识组织管理系统架构的示意图; 图 5是根据本发明实施例的确定设备故障的系统的示意图。 具体实施方式 需要说明的是, 在不冲突的情况下, 本申请中的实施例及实施例中的特征可以相 互组合。 下面将参考附图并结合实施例来详细说明本发明。 本实施例中以挖掘机为例进行说明。 图 1是根据本发明实施例的确定设备故障的 方法的示意图, 如图 1所示, 该方法主要包括如下步骤: 步骤 S11 : 保存描述设备结构的树形数据结构。 在该树形数据结构中, 根节点为 挖掘机, 其余每个节点表示挖掘机的一个子系统或一个部件, 子节点表示其父节点所 表示的系统中的子系统或部件。 具体可采用图 2所示的设备结构。 图 2是根据本发明实施例中挖掘机结构树的示意图。 图 2中,挖掘机为根节点 A, 挖掘机包含有子系统例如动力系统、 执行机构、 液压系统、 电气系统等, 相应地根节 点 A也包含多个子节点, 例如 Bl、 B2、 B3、 B4等节点, 各子系统之下又包含子系统 或设备, 例如动力系统中包含冷却系统、 燃油系统等; 液压系统中包含斗杆半流阀、 流量限制阀等设备。 挖掘机结构树的末节点为具体的设备, 例如图中的 D1 节点表示 冷却管路、 D2节点表示冷却器。 由于篇幅所限, 图 2中未示出挖掘机中的所有系统和 设备。 按照图 2所示的产品结构树, 最上层为挖掘机系统节点, 最底层为可替换单元, 中间为各级部件层。 由于产品结构树是按功能隶属关系配置的零部件层次结构, 且故 障可定义为系统或部件功能的失效或退化, 所以这种层次结构较好地反映了产品层次 之间故障的因果性, 因此基于挖掘机结构树的诊断推理具有层次性。 步骤 S13 : 当设备发生异常时, 从根节点起, 按照故障与子节点间的预设的关联 关系, 逐级确定当前节点的故障以及该故障在当前节点的子节点中对应的子节点。 步骤 S15: 判断确定的子节点是否为末节点, 若是, 则进入步骤 S17, 否则返回 步骤 S13, 并将确定的子节点作为步骤 S13中的当前节点进行处理。 步骤 S17: 输出末节点的故障的信息。 本步骤中的末节点即为步骤 S15中确定的 子节点。 本实施例中, 在子系统的故障与表示该子系统的节点的子节点之间建立了关联关 系, 这种关联关系主要基于挖掘机的诊断知识。 根据上述的步骤, 可以由计算机根据 诊断知识, 按挖掘机的设备结构层层深入探寻故障根源, 从而快速准确地确定设备的 故障。 上述的诊断知识也可以采用树状结构来表示, 并且该树状结构从拓扑结构上来说 与产品结构树具有一致性。 例如挖掘机的产品结构采用图 2所示的形式, 则包含诊断 知识的树状结构如图 3, 图 3是根据本发明实施例的挖掘机诊断知识树状结构的示意 图。 如图 3所示, 每一个节点都以框架形式表示, 因此框架名即为节点名, 每个框架 由状态评估、 故障维、 维修决策等三个槽组成, 其中状态评估主要用于评估零部件当 前工作状态, 它由可检参数状态、 检测方法、 故障模式判别等三个槽组成, 可检参数 主要是指 BIT (机内测试)信息以及外接测试仪能检测的信号,检测方法是指采用 BIT (机内测试) 装置及外接测试仪以某种方法进行参数检测, 故障模式判断是依据 BIT 信息或外接测试仪获取的信号,采用诊断规则得出所检测部件当前所发生的故障模式; 故障维中存储了零部件的所有故障, 其中每一个故障存储在一个侧面中, 每个侧面包 含了一个框架, 框架中存储了引发该故障的原因。 本实施例中, 在子系统的故障与表示该子系统的节点的子节点之间建立的关联关 系同样作为诊断知识被保存。例如, 针对根节点 A进行状态评估, 确定存在框架 A中 的侧面 22中的"行走故障"时, 则根据已有的故障诊断知识, 得知应从发动机方面查找 故障, 即根节点 A中的"行走故障"与 A的子节点 B1相关联; 又如, 针对节点 B1进 行状态评估, 确定框架 B1中存在侧面 21的"发动机无法启动", 则同样根据已有的故 障诊断知识,得知应从油箱或滤清器方面查找故障, 即节点 B1中的"发动机无法启动" 与 B1的子节点 C2相关联。 也就是说, 上述的关联关系是根据已有的故障诊断知识得 出并保存。 这样在步骤 S13中可以根据挖掘机的异常表现逐级确定节点。 仍以上述为 例, 当挖掘机行走发生异常, 然后进行状态评估确定故障为框架 A中的"行走故障", 根据该 "行走故障"与 B1的关联关系, 确定子节点 B1并针对该子节点 B1进行状态评 估, 发现"发动机无法启动", 即上述的框架 B1中的侧面 21, 然后根据"发动机无法启 动"与 C2的关联关系, 确定子节点 C2, 再针对 C2进行状态评估, 确定故障为侧面 22 中的"滤清器报警"。 因 C2已是末节点, 因此针对 C2确定的故障的信息即被输出。 人 员根据该信息就可以对滤清器进行修理。 状态评估时, 可以是接收挖掘机内部的测试 装置发送的故障的信息, 也可以是接收挖掘机外接的测试装置发送的故障的信息。 在实际情况中,一种故障可能是存在多种原因,例如图 3中的框架 B3、 Cll、 C12、 C13所示, 如果框架 B3中的故障为侧面 21中的"压力低", 产生该故障的原因按可能 性从高到低分别是斗杆半流阀异常、 流量限制阀异常、 动臂优先阀异常。 对于这种情 况, 本实施例中, 对于故障和子节点的关联关系分配了置信度, 置信度可以是一个小 数并且大于零, 也可以是其他数值, 这样, 上述关联关系具体成为一个故障与多个子 节点相关联, 并且该故障与该多个子节点中的各个子节点相关联的置信度各不相同。 例如, 框架 B3中的故障为侧面 21中的"压力低 "这一故障, 与节点 C11的关联的置信 度为 0.8, 与节点 C12的关联的置信度为 0.7, 与节点 C13的关联的置信度为 0.6。 这 样, 当确定与框架 B3中的故障为侧面 21中的"压力低 "这一故障关联的节点时, 按置 信度从大到小的顺序确定子节点, 此时按最高的置信度来确定子节点, 即确定出节点 Cll。 由于节点 C11是末节点, 因此输出其故障的内容; 当用户经过分析斗杆半流阀发 现其中并不存在故障时, 可以要求重新确定子节点。 当用户通过人机界面发送指令选 择以 C开头的一级子节点时, 计算机此时选择相对于节点 C11次高的置信度的节点, 即节点 C12, 然后针对节点 C12进行状态评估。 如果按节点 C12进行处理仍不能发现 故障, 可以继续选择节点 C13。 如果按节点 C13处理依旧不能发现故障, 则退回上一 级节点,即从 B开头的一级节点中选择。这种方式能够全面地检查挖掘机的各个部位, 有助于准确地确定故障。 图 4是根据本发明实施例的设备故障诊断知识组织管理系统架构的示意图。 如图TECHNICAL FIELD The present invention relates to the field of equipment fault diagnosis technology, and in particular, to an excavator and a method and system for determining equipment failure. BACKGROUND OF THE INVENTION An excavator is a commonly used construction machine, which has many components and complicated structures, and each type of component has more types of failures. Therefore, when an abnormality occurs in an excavator, how to determine its failure becomes a failure. Small puzzles. Similarly, as technology advances, the complexity of various devices becomes higher and higher, and accordingly, when an abnormality occurs in the device, it becomes difficult to determine the failure. At present, the determination of equipment failure is usually carried out by personnel based on the technical documents of the equipment, such as manuals, product manuals, etc., combined with their own experience. This method is difficult to quickly and accurately determine equipment failures due to personnel experience and energy. SUMMARY OF THE INVENTION A primary object of the present invention is to provide an excavator and a method and apparatus for determining equipment failure to solve the problem that the prior art is difficult to quickly and accurately determine the failure of the equipment. In order to achieve the above object, according to an aspect of the present invention, a method of determining a device failure is provided. The method for determining a device fault of the present invention includes: when an abnormality occurs in the device, determining a current level from a root node in a tree data structure describing a device structure according to a preset relationship between a fault and a child node The fault of the node and the corresponding child node in the child node of the current node, when the corresponding child node is the last node, output information of the fault associated with the last node; the root in the tree data structure A node is the device, and each of the remaining nodes represents a subsystem or a component of the device, the child nodes representing subsystems or components in the system represented by its parent node. According to another aspect of the present invention, a system for determining a device failure is provided. The system for determining device failure of the present invention includes: determining means, configured to: according to a root node in a tree data structure describing a device structure, according to a preset relationship between a fault and a child node when an abnormality occurs in the device Determining the fault of the current node step by step and the corresponding child node of the fault in the child node of the current node; the tree shape The root node in the data structure is the device, and each of the remaining nodes represents a subsystem or a component of the device, the child node represents a subsystem or component in the system represented by its parent node; When the child node determined by the determining device is the last node, the information of the fault associated with the last node is output. According to still another aspect of the present invention, there is provided an excavator in which the system for determining a malfunction of the apparatus of the present invention is provided. According to the technical solution of the present invention, an association relationship is established between a fault of the subsystem and a child node of the node representing the subsystem, and the relationship is mainly based on the diagnostic knowledge of the excavator, and the fault relationship is performed according to the above-mentioned association layer. Layer search until a specific component is determined, this method can effectively utilize the diagnostic knowledge of the excavator and make the fault reasoning hierarchical, improve the accuracy of fault diagnosis and display the fault propagation path, thereby improving the diagnostic and maintenance efficiency of the excavator. BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings are intended to provide a further understanding of the invention In the drawings: FIG. 1 is a schematic diagram of a method of determining equipment failure according to an embodiment of the present invention; FIG. 2 is a schematic diagram of an excavator tree according to an embodiment of the present invention; FIG. 3 is an excavator diagnosis according to an embodiment of the present invention. FIG. 4 is a schematic diagram of a device fault diagnosis knowledge organization management system architecture according to an embodiment of the present invention; FIG. 5 is a schematic diagram of a system for determining equipment failure according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict. The invention will be described in detail below with reference to the drawings in conjunction with the embodiments. In the present embodiment, an excavator will be described as an example. FIG. 1 is a schematic diagram of a method for determining a device fault according to an embodiment of the present invention. As shown in FIG. 1, the method mainly includes the following steps: Step S11: Saving a tree data structure describing a device structure. In the tree data structure, the root node is an excavator, and each of the remaining nodes represents a subsystem or a component of the excavator, and the child nodes represent subsystems or components in the system represented by its parent node. Specifically, the device structure shown in FIG. 2 can be employed. 2 is a schematic illustration of an excavator tree in accordance with an embodiment of the present invention. In Figure 2, the excavator is the root node A, and the excavator includes subsystems such as a power system, an actuator, a hydraulic system, an electrical system, etc., correspondingly, the root node A also includes a plurality of sub-nodes, such as Bl, B2, B3, B4. Such nodes, sub-systems contain subsystems or equipment, for example, the power system includes a cooling system, a fuel system, etc.; the hydraulic system includes a bucket half-flow valve, a flow restriction valve and the like. The end node of the excavator tree is a specific device. For example, the D1 node in the figure represents the cooling pipe, and the D2 node represents the cooler. Due to space limitations, all of the systems and equipment in the excavator are not shown in FIG. According to the product structure tree shown in Figure 2, the uppermost layer is the excavator system node, the bottom layer is the replaceable unit, and the middle is the component layer of each level. Since the product structure tree is a component hierarchy configured according to functional affiliation, and the fault can be defined as the failure or degradation of the system or component function, this hierarchical structure better reflects the causality of the fault between product levels, so Diagnostic reasoning based on excavator tree is hierarchical. Step S13: When an abnormality occurs in the device, from the root node, according to a preset relationship between the fault and the child node, the fault of the current node and the corresponding child node of the fault in the child node of the current node are determined step by step. Step S15: It is judged whether the determined child node is the last node, and if yes, proceeds to step S17, otherwise returns to step S13, and the determined child node is processed as the current node in step S13. Step S17: Output information of the failure of the last node. The last node in this step is the child node determined in step S15. In this embodiment, an association relationship is established between a failure of the subsystem and a child node of the node representing the subsystem, and the association relationship is mainly based on the diagnostic knowledge of the excavator. According to the above steps, the root cause of the fault can be deeply explored by the computer according to the diagnostic knowledge according to the equipment structure layer of the excavator, thereby quickly and accurately determining the fault of the equipment. The above diagnostic knowledge can also be represented by a tree structure, and the tree structure is structurally consistent with the product structure tree. For example, the product structure of the excavator adopts the form shown in FIG. 2, and the tree structure including the diagnostic knowledge is as shown in FIG. 3. FIG. 3 is a schematic diagram of the tree structure of the diagnostic knowledge of the excavator according to the embodiment of the present invention. As shown in Figure 3, each node is represented by a frame, so the frame name is the node name. Each frame consists of three slots: status evaluation, fault dimension, and maintenance decision. The status evaluation is mainly used to evaluate components. The current working state is composed of three slots: the detectable parameter status, the detection method, and the fault mode discrimination. The detectable parameters mainly refer to the BIT (in-machine test) information and the signal that the external tester can detect. The detection method refers to adopting BIT (in-machine test) device and external tester perform parameter detection in some way. The fault mode is judged according to BIT. Information or signals obtained by an external tester, using diagnostic rules to derive the current failure mode of the detected component; all failures of the component are stored in the failure dimension, each of which is stored in one side, one on each side The framework in which the cause of the failure is stored. In this embodiment, the association relationship established between the failure of the subsystem and the child node of the node representing the subsystem is also saved as diagnostic knowledge. For example, when the state of the root node A is evaluated and it is determined that there is a "walking fault" in the side 22 in the frame A, it is known from the existing fault diagnosis knowledge that the fault should be looked up from the engine side, that is, in the root node A. The travel fault is associated with the child node B1 of A; for example, for the state evaluation of the node B1, it is determined that the "engine cannot start" of the side 21 in the frame B1, and the knowledge of the fault diagnosis is also known from the fuel tank. Or the filter side finds a fault, that is, "engine cannot start" in node B1 is associated with child node C2 of B1. That is to say, the above-mentioned association relationship is obtained and saved according to the existing fault diagnosis knowledge. Thus, in step S13, the node can be determined step by step according to the abnormal performance of the excavator. Still taking the above as an example, when the excavator walks abnormally, and then performs state evaluation to determine that the fault is a "walking fault" in the frame A, according to the relationship between the "walking fault" and B1, the child node B1 is determined and directed to the child node. B1 performs a state evaluation and finds that "the engine cannot be started", that is, the side 21 in the above-mentioned frame B1, and then determines the child node C2 according to the relationship of "engine failure to start" and C2, and then performs state evaluation for C2, and determines that the failure is "Filter alarm" in side 22. Since C2 is already the last node, the information of the fault determined for C2 is output. The personnel can repair the filter based on this information. The state evaluation may be information of receiving a failure transmitted by a test device inside the excavator, or may be information of a failure transmitted by a test device externally received by the excavator. In the actual situation, a fault may be due to various reasons, such as the frame B3, C11, C12, C13 in Fig. 3, if the fault in the frame B3 is "low pressure" in the side 21, the fault is generated. The reason is that the arm half-flow valve is abnormal, the flow restriction valve is abnormal, and the boom priority valve is abnormal, depending on the possibility. For this case, in this embodiment, a confidence level is assigned to the association relationship between the fault and the child node, and the confidence level may be a decimal number and greater than zero, or may be other values, such that the foregoing association relationship specifically becomes a fault and multiple children. The nodes are associated, and the fault has a different degree of confidence associated with each of the plurality of child nodes. For example, the fault in frame B3 is the "low pressure" fault in side 21, the confidence level associated with node C11 is 0.8, the confidence associated with node C12 is 0.7, and the confidence associated with node C13. Is 0.6. Thus, when it is determined that the fault associated with the failure of the frame B3 is the "low pressure" fault in the side 21, the child nodes are determined in descending order of confidence, at which time the highest confidence is used to determine the child. The node, that is, the node C11 is determined. Since node C11 is the last node, the content of its fault is output; when the user finds that there is no fault through the analysis of the stick half-flow valve, the child node may be required to be re-determined. When the user sends an instruction through the man-machine interface to select the first-level child node starting with C, the computer selects the node with the highest confidence level relative to the node C11 at this time. That is, node C12, and then state evaluation for node C12. If the fault cannot be found by processing by the node C12, the node C13 can be continuously selected. If the fault cannot be found by the processing of the node C13, the upper node is returned, that is, the first-level node starting from B is selected. This approach provides a comprehensive view of the various parts of the excavator and helps to accurately identify faults. 4 is a schematic diagram of an architecture of a device fault diagnosis knowledge organization management system according to an embodiment of the present invention. As shown
4 所示, 该组织管理系统架构主要包括数据层、 模型层、 功能层。 模型层为本系统的 核心层, 模型层中主要包含挖掘机故障诊断知识组织模型, 它将数据以合理的形式表 达, 有利于数据应用; 数据层为挖掘机故障诊断知识组织模型提供数据, 主要为结构 数据、 历史故障数据、 状态评估数据等; 功能层为基于挖掘机故障诊断知识组织模型 各种应用, 主要为故障诊断、 知识查询、 知识编辑。 以下对于本实施例中的确定设备故障的装置做出说明。 图 5是根据本发明实施例 的确定设备故障的装置的示意图。如图 5所示,确定设备故障的系统 50主要包括确定 装置 51和输出装置 52。 该装置可以由图 4中的功能层的故障诊断模块调用。 确定装置 51用于当所述设备发生异常时,从描述设备结构的树形数据结构中的根 节点起, 按照故障与子节点间的预设的关联关系, 逐级确定当前节点的故障以及该故 障在当前节点的子节点中对应的子节点; 所述树形数据结构中的根节点为所述设备, 其余每个节点表示所述设备的一个子系统或一个部件, 子节点表示其父节点所表示的 系统中的子系统或部件。可以从图 4中的模型层中调取相关的数据。输出装置 52用于 当确定装置 51确定的子节点为末节点时, 输出与该末节点相关联的故障的信息。 确定设备故障的装置 50还可以包括保存装置 (图中未示出), 用于保存所述关联 关系, 并且该关联关系包括: 一个故障与多个子节点相关联, 并且该故障与该多个子 节点中的各个子节点相关联的置信度各不相同; 这样,确定装置 51还可用于确定当前 节点的故障, 选择与该故障以最高的置信度相关联的子节点。 确定设备故障的系统 50还可以包括接收装置 (图中未示出), 用于接收用户提供 的选择信息, 该选择信息指定了一级子节点;这样输出装置 52还可用于从该选择信息 指定的一级子节点中选择一个子节点, 该子节点以相对于所述最高的置信度的次高的 置信度与该级子节点的父节点的故障相关联。 接收装置可以从图 4中的数据层接收数 据,例如状态评估数据。另外输出装置 52还可以用于接收装置内部的测试装置发送的 故障的信息, 并且 /或者, 接收装置外接的测试装置发送的故障的信息。 本实施例中的挖掘机中设置有上述的确定设备故障的系统, 这样能够利用该装置 快速准确地定位挖掘机的故障。 根据本发明的技术方案, 在子系统的故障与表示该子系统的节点的子节点之间建 立了关联关系, 这种关联关系主要基于挖掘机的诊断知识, 进行故障诊断时按上述关 联关系层层搜索直到确定一个具体的零部件, 这种方式能够有效利用挖掘机诊断知识 并使故障推理具有层次性, 提高故障诊断的准确度及显示故障传播路径, 从而提高挖 掘机诊断与维修效率。 显然, 本领域的技术人员应该明白, 上述的本发明的各设备或各步骤可以用通用 的计算装置来实现, 它们可以集中在单个的计算装置上, 或者分布在多个计算装置所 组成的网络上, 可选地, 它们可以用计算装置可执行的程序代码来实现, 从而, 可以 将它们存储在存储装置中由计算装置来执行, 或者将它们分别制作成各个集成电路设 备, 或者将它们中的多个设备或步骤制作成单个集成电路设备来实现。 这样, 本发明 不限制于任何特定的硬件和软件结合。 以上所述仅为本发明的优选实施例而已, 并不用于限制本发明, 对于本领域的技 术人员来说, 本发明可以有各种更改和变化。 凡在本发明的精神和原则之内, 所作的 任何修改、 等同替换、 改进等, 均应包含在本发明的保护范围之内。 As shown in Figure 4, the organization management system architecture mainly includes a data layer, a model layer, and a functional layer. The model layer is the core layer of the system. The model layer mainly contains the excavator fault diagnosis knowledge organization model, which expresses the data in a reasonable form, which is beneficial to data application. The data layer provides data for the excavator fault diagnosis knowledge organization model. For structural data, historical fault data, state assessment data, etc.; functional layer is based on the knowledge model of excavator fault diagnosis knowledge organization, mainly for fault diagnosis, knowledge query, knowledge editing. The following describes an apparatus for determining a device failure in the present embodiment. 5 is a schematic diagram of an apparatus for determining a device failure in accordance with an embodiment of the present invention. As shown in FIG. 5, the system 50 for determining equipment failure primarily includes determining means 51 and output means 52. The device can be called by the fault diagnostic module of the functional layer in Figure 4. The determining device 51 is configured to determine, according to a preset association relationship between the fault and the child node, a fault of the current node and the first node from the root node in the tree data structure describing the device structure when the device is abnormal. The fault is in the child node of the current node; the root node in the tree data structure is the device, and each of the remaining nodes represents a subsystem or a component of the device, and the child node represents its parent node A subsystem or component in the system represented. Relevant data can be retrieved from the model layer in Figure 4. The output device 52 is configured to output information of a fault associated with the last node when the child node determined by the determining device 51 is the last node. The device 50 for determining the device failure may further include a saving device (not shown) for saving the association relationship, and the association relationship includes: one failure is associated with the plurality of child nodes, and the failure is related to the plurality of child nodes The confidence levels associated with each of the child nodes are different; thus, the determining means 51 can also be used to determine the failure of the current node, selecting the child nodes associated with the fault with the highest confidence. The system 50 for determining device failure may further include receiving means (not shown) for receiving user-provided selection information specifying a primary sub-node; such that the output device 52 is further operable to specify from the selection information One of the first-level child nodes is selected, and the child node is associated with a failure of the parent node of the level child node with a second highest confidence level with respect to the highest confidence. The receiving device can receive data, such as status evaluation data, from the data layer in FIG. In addition, the output device 52 can also be used to receive information of faults transmitted by the test device inside the device, and/or information about faults transmitted by the test device externally connected to the device. The excavator in this embodiment is provided with the above-described system for determining the failure of the device, so that the device can be used to quickly and accurately locate the failure of the excavator. According to the technical solution of the present invention, an association relationship is established between a fault of the subsystem and a child node of the node representing the subsystem, and the relationship is mainly based on the diagnostic knowledge of the excavator, and the fault relationship is performed according to the above-mentioned association layer. Layer search until a specific component is determined, this method can effectively utilize the diagnostic knowledge of the excavator and make the fault reasoning hierarchical, improve the accuracy of fault diagnosis and display the fault propagation path, thereby improving the diagnostic and maintenance efficiency of the excavator. Obviously, those skilled in the art should understand that the above-mentioned devices or steps of the present invention can be implemented by a general-purpose computing device, which can be concentrated on a single computing device or distributed over a network composed of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device, such that they may be stored in the storage device by the computing device, or they may be separately fabricated into individual integrated circuit devices, or they may be Multiple devices or steps are made into a single integrated circuit device. Thus, the invention is not limited to any specific combination of hardware and software. The above is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims

权 利 要 求 书 Claim
1. 一种确定设备故障的方法, 其特征在于, 包括: A method for determining a device failure, comprising:
当所述设备发生异常时, 从描述设备结构的树形数据结构中的根节点起, 按照故障与子节点间的预设的关联关系, 逐级确定当前节点的故障以及该故障 在当前节点的子节点中对应的子节点, 当该对应的子节点为末节点时, 输出与 该末节点相关联的故障的信息;  When an abnormality occurs in the device, from the root node in the tree data structure describing the device structure, according to the preset relationship between the fault and the child node, the fault of the current node is determined step by step and the fault is at the current node. a corresponding child node in the child node, when the corresponding child node is the last node, outputting information of the fault associated with the last node;
所述树形数据结构中的根节点为所述设备, 其余每个节点表示所述设备的 一个子系统或一个部件,子节点表示其父节点所表示的系统中的子系统或部件。  The root node in the tree data structure is the device, and each of the remaining nodes represents a subsystem or a component of the device, and the child node represents a subsystem or component in the system represented by its parent node.
2. 根据权利要求 1所述的方法, 其特征在于, 2. The method of claim 1 wherein
所述关联关系包括: 一个故障与多个子节点相关联, 并且该故障与该多个 子节点中的各个子节点相关联的置信度各不相同;  The association relationship includes: a fault is associated with a plurality of child nodes, and the fault has a different degree of confidence associated with each of the plurality of child nodes;
所述确定当前节点的故障以及该故障在当前节点的子节点中对应的子节点 包括: 确定当前节点的故障, 选择与该故障以最高的置信度相关联的子节点。  The determining the fault of the current node and the corresponding child node of the fault in the child node of the current node includes: determining a fault of the current node, and selecting a child node associated with the fault with the highest confidence.
3. 根据权利要求 2所述的方法, 其特征在于, 所述输出与该末节点相关联的故障 的信息之后还包括: The method according to claim 2, wherein the outputting the information about the fault associated with the last node further comprises:
接收用户提供的选择信息, 该选择信息指定了一级子节点;  Receiving selection information provided by the user, the selection information designating a primary child node;
从所述选择信息指定的所述一级子节点中选择一个子节点, 该子节点以相 对于所述最高的置信度的次高的置信度与该级子节点的父节点的故障相关联。  A child node is selected from the first-level child nodes specified by the selection information, the child node being associated with a failure of a parent node of the level child node with a second highest confidence level with respect to the highest confidence.
4. 根据权利要求 1或 2或 3所述的方法, 其特征在于, 所述确定当前节点的故障 包括: 接收所述设备内部的测试装置发送的故障的信息, 并且 /或者, 接收所述 设备外接的测试装置发送的故障的信息。 The method according to claim 1 or 2 or 3, wherein the determining the fault of the current node comprises: receiving information of a fault sent by the test device inside the device, and/or receiving the device Information about the fault sent by the external test device.
5. 根据权利要求 1至 4中任一项所述的方法, 其特征在于, 所述设备为挖掘机。 The method according to any one of claims 1 to 4, characterized in that the device is an excavator.
6. 一种确定设备故障的系统, 其特征在于, 包括: 6. A system for determining a device failure, comprising:
确定装置, 用于当所述设备发生异常时, 从描述设备结构的树形数据结构 中的根节点起, 按照故障与子节点间的预设的关联关系, 逐级确定当前节点的 故障以及该故障在当前节点的子节点中对应的子节点; 所述树形数据结构中的 根节点为所述设备, 其余每个节点表示所述设备的一个子系统或一个部件, 子 节点表示其父节点所表示的系统中的子系统或部件; Determining means, when an abnormality occurs in the device, determining a fault of the current node and determining the fault of the current node step by step according to a preset relationship between the fault and the child node from a root node in the tree data structure describing the structure of the device The corresponding child node in the child node of the current node; the tree data structure The root node is the device, and each of the remaining nodes represents a subsystem or a component of the device, and the child node represents a subsystem or component in the system represented by its parent node;
输出装置, 用于当所述确定装置确定的子节点为末节点时, 输出与该末节 点相关联的故障的信息。 根据权利要求 6所述的系统, 其特征在于,  And an output device, configured to: when the child node determined by the determining device is a last node, output information of a fault associated with the last node. The system of claim 6 wherein:
所述系统还包括保存装置,用于保存所述关联关系,并且该关联关系包括: 一个故障与多个子节点相关联, 并且该故障与该多个子节点中的各个子节点相 关联的置信度各不相同;  The system further includes a saving device configured to save the association relationship, and the association relationship includes: a failure associated with the plurality of child nodes, and a confidence that the failure is associated with each of the plurality of child nodes Not the same;
所述确定装置还用于确定当前节点的故障, 选择与该故障以最高的置信度 相关联的子节点。 根据权利要 7所述的系统, 其特征在于,  The determining means is further for determining a fault of the current node, selecting a child node associated with the fault with the highest confidence. A system according to claim 7, characterized in that
所述系统还包括接收装置, 用于接收用户提供的选择信息, 该选择信息指 定了一级子节点;  The system further includes receiving means for receiving selection information provided by the user, the selection information specifying a primary child node;
所述输出装置还用于从所述选择信息指定的所述一级子节点中选择一个子 节点, 该子节点以相对于所述最高的置信度的次高的置信度与该级子节点的父 节点的故障相关联。 根据权利要 6或 7或 8所述的系统, 其特征在于, 所述输出装置还用于接收所 述设备内部的测试装置发送的故障的信息, 并且 /或者, 接收所述设备外接的测 试装置发送的故障的信息。 一种挖掘机, 其特征在于, 所述挖掘机中设置有权利要求 6至 9中任一项所述 的确定设备故障的系统。  The output device is further configured to select one of the first-level sub-nodes specified by the selection information, the sub-node having a second highest confidence with respect to the highest confidence and a sub-node of the level The failure of the parent node is associated. The system according to claim 6 or 7 or 8, wherein the output device is further configured to receive information of a fault sent by the test device inside the device, and/or receive a test device externally connected to the device Information about the fault that was sent. An excavator characterized in that the excavator is provided with a system for determining a malfunction of the apparatus according to any one of claims 6 to 9.
PCT/CN2011/080812 2011-10-14 2011-10-14 Excavator, and method and system for determining equipment failure WO2013053134A1 (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007022238A2 (en) * 2005-08-17 2007-02-22 Nortel Networks Limited High-availability networking with intelligent failover
EP1777535A2 (en) * 2005-10-04 2007-04-25 STMicroelectronics, Inc. System and method for glitch detection in a secure microcontroller
JP2007322377A (en) * 2006-06-05 2007-12-13 Hino Motors Ltd On-board failure diagnosis apparatus and method for testing same
CN101136788A (en) * 2006-08-30 2008-03-05 华为技术有限公司 Fault location method and system for MPLS multicast
US20080167877A1 (en) * 2007-01-05 2008-07-10 Mcallister Sarah C Application of Speech and Speaker Recognition Tools to Fault Detection in Electrical Circuits
CN102046443A (en) * 2008-06-02 2011-05-04 通用汽车环球科技运作公司 Integrated hierarchical process for fault detection and isolation

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007022238A2 (en) * 2005-08-17 2007-02-22 Nortel Networks Limited High-availability networking with intelligent failover
EP1777535A2 (en) * 2005-10-04 2007-04-25 STMicroelectronics, Inc. System and method for glitch detection in a secure microcontroller
JP2007322377A (en) * 2006-06-05 2007-12-13 Hino Motors Ltd On-board failure diagnosis apparatus and method for testing same
CN101136788A (en) * 2006-08-30 2008-03-05 华为技术有限公司 Fault location method and system for MPLS multicast
US20080167877A1 (en) * 2007-01-05 2008-07-10 Mcallister Sarah C Application of Speech and Speaker Recognition Tools to Fault Detection in Electrical Circuits
CN102046443A (en) * 2008-06-02 2011-05-04 通用汽车环球科技运作公司 Integrated hierarchical process for fault detection and isolation

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