CN113609243A - Method and device for generating wind power fault tree - Google Patents
Method and device for generating wind power fault tree Download PDFInfo
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Abstract
The invention provides a method and a device for generating a wind power fault tree, wherein the method comprises the following steps: analyzing data obtained from wind power equipment, judging whether the wind power equipment has a fault, and if so, marking a fault tree of the fault; receiving part names of all levels to which fault parts selected in the marked fault tree by a maintenance person belong; receiving maintenance operation information input by the maintenance personnel for the fault component; and extracting a keyword matched with a preset keyword from the maintenance operation information as a maintenance operation keyword of the part name of the lowest level to which the fault part belongs, and using the maintenance operation information as the maintenance operation information of the maintenance operation keyword.
Description
Technical Field
The invention relates to the field of wind power, in particular to a method and a device for generating a wind power fault tree.
Background
Knowledge Graph (Knowledge Graph) is known as Knowledge domain visualization or Knowledge domain mapping map in the book intelligence world, is a series of different graphs for displaying the relationship between the Knowledge development process and the structure, describes Knowledge resources and carriers thereof by using visualization technology, and excavates, analyzes, constructs, draws and displays Knowledge and the mutual relation among the Knowledge resources and the carriers, and is particularly common in the form of tree-shaped structure.
In the field of wind power generation, wind power fault trees are generally divided into two modes of manual generation and automatic generation, and the automatic generation of the wind power fault trees is that wind power fault trees are generated by means of a computer assistant section. The method for manually generating the wind power fault tree is tedious, time-consuming, labor-consuming and easy to make mistakes, particularly, compared with a complex wind power system, logical errors and omissions are difficult to avoid, and the method for generating the wind power fault tree by means of a computer assistant section to display system fault knowledge is a mode with higher efficiency.
Although a method for generating a fan fault tree with the assistance of a computer exists in the prior art, for example, a fan fault operation and maintenance recording table recorded by a maintenance worker is used for directly extracting knowledge from the fan fault operation and maintenance recording table through a knowledge extraction strategy and then generating the fan fault tree, the contents recorded in the fan fault operation and maintenance recording table are different, the difficulty and accuracy of knowledge extraction are poor, and accurate knowledge cannot be provided to generate and perfect the fan fault tree.
Disclosure of Invention
Based on the current situation, the main object of the present invention is to provide a method and an apparatus for generating a wind power fault tree, so as to provide a more complete and accurate wind power fault tree.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a generation method of a wind power fault tree comprises the following steps: s110, analyzing data obtained from wind power equipment, judging whether the wind power equipment has a fault, and if so, marking a fault tree of the fault; the root node of the fault tree is the fault name of the fault, and the plurality of component names of the wind power equipment are sequentially arranged on the corresponding nodes of each hierarchy under the fault name according to the subordinate relation; s120, receiving part names of all levels to which fault parts selected in the marked fault tree by a maintenance person belong; wherein the faulty component is within the wind power plant; s130, receiving maintenance operation information aiming at the fault component input by the maintenance personnel; and S140, extracting a keyword matched with a preset keyword from the maintenance operation information as a maintenance operation keyword of the part name of the lowest level to which the fault part belongs, and using the maintenance operation information as the maintenance operation information of the maintenance operation keyword.
Preferably, after step S140, the generating method further includes the steps of: calculating the number of times of faults of each node in a certain hierarchy and/or the proportion of the number of times of faults of each node in the hierarchy to the total number of faults of all nodes in the hierarchy; each node in the certain hierarchy displays the corresponding number and/or proportion.
Preferably, in step S120, the generation method receives the part name of the second hierarchy to which the fault part selected by the serviceman in the marked fault tree belongs, only after receiving the part name of the first hierarchy to which the fault part selected by the serviceman in the marked fault tree belongs, where the second hierarchy is a next hierarchy of the first hierarchy.
Preferably, in step S140, the maintenance operation keyword is used as a next-level node of a component name of a lowest level to which the faulty component belongs, and the maintenance operation information is used as a next-level node of the maintenance operation keyword.
Preferably, after step S140, the generating method further includes the steps of: nodes of adjacent levels in the fault tree display different colors, and nodes of the same level in the fault tree display the same color.
The invention also provides a device for generating the wind power fault tree, which comprises the following components: the first processing unit is used for analyzing data obtained from wind power equipment, judging whether the wind power equipment fails or not, and marking a fault tree of the failure if the wind power equipment fails; the root node of the fault tree is the fault name of the fault, and the plurality of component names of the wind power equipment are sequentially arranged on the corresponding nodes of each hierarchy under the fault name according to the subordinate relation; the second processing unit is used for receiving the part names of all levels to which the fault parts selected in the marked fault tree by a maintenance person belong; wherein the faulty component is within the wind power plant; a third processing unit for receiving the repair operation information for the faulty component input by the repair person; and the fourth processing unit is used for extracting a keyword matched with a preset keyword from the maintenance operation information as a maintenance operation keyword of the part name of the lowest level to which the fault part belongs, and using the maintenance operation information as the maintenance operation information of the maintenance operation keyword.
Preferably, the generating device further comprises a fifth processing unit, configured to: calculating the frequency of the fault of each node in a certain level and/or the proportion of the fault of each node in the total frequency of the faults of all the nodes in the certain level; each node in the certain hierarchy displays the corresponding number and/or proportion.
Preferably, the second processing unit is configured to receive the part name of the second hierarchy to which the faulty part selected by the serviceman in the marked faulty tree belongs, only after receiving the part name of the first hierarchy to which the faulty part selected by the serviceman in the marked faulty tree belongs, where the second hierarchy is a next hierarchy of the first hierarchy.
Preferably, the maintenance operation keyword is used as a next-level node of a component name of a lowest level to which the faulty component belongs, and the maintenance operation information is used as a next-level node of the maintenance operation keyword.
Preferably, the generating device further comprises a fifth processing unit, configured to: and displaying different colors on nodes of adjacent levels in the fault tree, and displaying the same color on nodes of the same level in the fault tree.
[ PROBLEMS ] the present invention
Through the scheme, the invention can establish accurate mapping relation between the maintenance operation information input by the maintenance personnel and the fault component and the related nodes in the tree relation graph where the fault component is located, so that the formed fault tree is more complete and accurate, and other maintenance personnel can obtain more complete and accurate maintenance reference information from the fault tree.
Other advantages of the present invention will be described in the detailed description, and those skilled in the art will understand the technical features and technical solutions presented in the description.
Drawings
Preferred embodiments according to the present invention will be described below with reference to the accompanying drawings. In the figure:
FIG. 1 is a block diagram of a wind power system according to a preferred embodiment of the present invention;
FIG. 2 is a schematic diagram of a fault tree in accordance with a preferred embodiment of the present invention;
fig. 3 is a flowchart of a method for generating a wind power fault tree according to a preferred embodiment of the present invention.
Detailed Description
As shown in fig. 1, the wind power generation system according to an embodiment of the present invention includes a wind power generation device 100, a data collection device 200, and a server 300.
The wind power equipment 100 comprises a plurality of components, names (namely component names) of the components and names (namely names of the wind power equipment 100) of the wind power equipment 100 can be respectively placed on corresponding nodes in a tree-like relational graph according to the dependency relationship, the name of the wind power equipment 100 is a root node of the tree-like relational graph, each component name is located on a corresponding child node, the component name of a child node of a certain hierarchy is a summary of the component names of all child nodes of a next hierarchy of the certain hierarchy, and obviously, the dependency relationship exists between the child node of the certain hierarchy and the child node of the next hierarchy of the child node. It is understood that a plurality of parts obtained by dividing the same wind power plant 100 by different maintenance personnel may not be identical, and therefore, the maintenance operation information recorded by the maintenance personnel for a certain faulty part may be various, so that the key information extracted by the knowledge about the maintenance operation information in the prior art, for example, the faulty part may be inaccurate or not universal. In the invention, a tree-like relation graph formed by all component names of the wind power equipment 100 is preset so as to force maintenance personnel to use unified and standard component names when recording maintenance information in subsequent steps. In one embodiment, the part names of the next level nodes of the wind power plant 100 include the rotor 130, the gearbox 110, the generator 120, the control system 140, etc., and the part names of the next level nodes of the rotor 130 include the blades 131, the low speed shaft 132, the impeller brake disc 133, etc.
The data collecting device 200 is generally configured to receive related data sent by the wind power plant 100, and send the related data to the server 300, so as to implement monitoring of the wind power plant 100 by the server 300. The data collection device 200 may analyze the related data to determine whether a fault occurs in the wind power generation device 100, and if so, send a fault code corresponding to the fault to the server 300. For example, the wind power equipment 100 has a blade speed sensor, the blade speed sensor collects the rotation speed of the blade and then sends the rotation speed to the data collection equipment 200, the data collection equipment 200 determines whether the rotation speed is within a rotation speed threshold, and if not, determines that the blade fails, and sends a corresponding fault code (e.g., 10000) to the server 300. For another example, the gear box 110 of the wind power plant 100 has a gear oil sensor, the gear oil sensor collects an oil overflow amount of the gear box 110, and then sends the oil overflow amount to the data collection device 200, the data collection device 200 determines whether the oil overflow amount is within an oil overflow amount threshold, and if not, determines that the gear box 110 has a fault, and sends a corresponding fault code (for example, 20000) to the server 300.
The server 300 receives the fault code of the wind power equipment 100 sent by the data acquisition equipment 200, searches a fault tree corresponding to the fault code of the wind power equipment 100 from a fault database, and marks the fault tree. The root node of the fault tree is the fault name of the fault, and the fault name may be a tree-like relational graph of the wind power equipment 100, or a node of more than two levels in the tree-like relational graph. In the fault tree shown in fig. 2, the next level sub-nodes of the root node fault name of the fault 500 (in this embodiment, the gearbox oil filtering fault) may be the gearbox 110, the generator 120, the rotor 130 and the control system 140, and the next level sub-node of the gearbox 110 is the gearbox oil 111. In order to better assist the maintenance personnel in searching, maintaining and recording the fault of the wind power equipment 100, the fault database should prestore as many fault trees as possible, and each fault tree can be generated by only inputting a fault name, and then the server 300 sets the sub-nodes of a part of hierarchy levels or all hierarchy levels of the tree-like relation diagram of the wind power equipment 100 under the fault name to form the fault tree. It is understood that when there are multiple wind power plants 100, the server 300 may store a corresponding fault tree for each wind power plant 100 (each wind power plant 100 may be distinguished by its wind power plant 100 name and serial number), and there may be multiple fault trees under each wind power plant 100.
The maintenance personnel can log in the server 300 through the terminal 400 (for example, a smart phone or a computer), and can know the wind power equipment 100 with the fault, the labeled fault tree and what kind of fault occurs. After the maintenance personnel have repaired the faulty component, the maintenance personnel can input the maintenance operation information for the faulty component in the marked fault tree, and the server 300 receives the maintenance operation information and updates the marked fault tree.
As shown in fig. 3, the flowchart of the method for generating a wind power fault tree in an embodiment of the present invention includes the following steps.
S110, analyzing data obtained from the wind power equipment 100, judging whether the wind power equipment 100 breaks down, and if so, marking a fault tree of the fault; the root node of the fault tree is the fault name of the fault, and the plurality of component names of the wind power equipment 100 are sequentially arranged on the corresponding nodes of each hierarchy level under the fault name according to the dependency relationship.
As described above, the data collection device 200 receives the relevant data sent by the wind power device 100, analyzes the data to determine whether a certain fault occurs in the wind power device 100, and sends a fault code corresponding to the fault to the server 300 if the certain fault occurs in the wind power device 100. In some other embodiments, the data collecting device 200 does not determine whether the wind power generation device 100 fails, and forwards the received data to the server 300, so that the server 300 completes the failure determination.
The server 300 receives the fault code of the wind power equipment 100 sent by the data acquisition equipment 200, searches a fault tree corresponding to the fault code of the wind power equipment 100 from a fault database, and marks the fault tree. In some other embodiments, if the server 300 completes the fault determination, the server 300 determines whether a certain fault occurs in the wind power equipment 100 according to the data received from the wind power equipment 100, and if so, obtains a fault code corresponding to the fault, and then searches a fault tree corresponding to the fault code in the wind power equipment 100 from a fault database.
S120, the server 300 receives part names of all levels to which fault parts selected in the marked fault tree by maintenance personnel belong; wherein the faulty component is within the wind power plant 100.
The flagged fault tree may also be provided with an operation interface (e.g., a "confirm" and "cancel" icon, respectively) for receiving confirmation and denial by the relevant personnel, the relevant personnel may enter an operation to confirm and deny the existence of the fault, the flag of the post-operation fault tree confirming the existence of the fault is still present, and the flag of the post-operation fault tree entering the denial of the existence of the fault is removed. After the server 300 marks the fault tree of the fault, a notification message may be sent to notify relevant personnel (for example, maintenance personnel or management personnel) to confirm that the site where the wind power plant 100 is located, and the relevant personnel logs in the server 300 through the terminal 400 and inputs an operation of confirming and denying the existence of the fault in the marked fault tree.
The maintenance personnel logs in the server 300 through the terminal 400 to know the wind power equipment 100 with the fault, the marked fault tree and the fault. After completing the repair of the faulty component, the repair person inputs the repair operation information for the faulty component in the labeled fault tree. The service person needs to select the part names of the respective levels to which the faulty part belongs in the fault tree. For example, if the failed component is gearbox oil 111, the serviceman needs to select the component names of the following respective level nodes in the failure tree: after the gear box oil 111, the gear box 110, the wind power equipment 100 and the server 300 receive the component names of the various levels selected by the maintenance personnel, accurate mapping relations can be established between the maintenance operation information subsequently input by the maintenance personnel and the related nodes of the fault components in the tree-like relational graph of the wind power equipment 100.
In some embodiments, in order to force a serviceman to input an accurate and complete part name of each level to which a faulty part belongs, the server 300 receives a part name of a second level to which a faulty part selected by the serviceman in the marked faulty tree belongs, after a part name of a first level to which the faulty part selected by the serviceman in the marked faulty tree belongs, wherein the second level is a next level to the first level. For example, the serviceman can continue to select the gearbox 110 of the next level node only after selecting the wind power plant 100, and then continue to select the gearbox oil 111 of the next level node.
S130, the server 300 receives the repair operation information for the faulty component input by the repair person.
After the serviceman selects the part name of the lowermost level node to which the faulty part belongs, the serviceman can input the maintenance operation information for the faulty part.
S140, the server 300 extracts a keyword matched with a preset keyword from the maintenance operation information as a maintenance operation keyword of the component name of the lowest hierarchy to which the faulty component belongs, and uses the maintenance operation information as the maintenance operation information of the maintenance operation keyword.
The preset keywords may be keywords of common problems of a certain component, for example, the preset keywords corresponding to the gearbox oil 111 may be "circulation" 112 (indicating that an oil circuit circulates to present a problem), "detection" 113 (indicating that a problem is present), and the like. The server 300 extracts a keyword matching a preset keyword from the maintenance operation information as a maintenance operation keyword for the component name of the lowest hierarchy to which the faulty component belongs. The repair operation keyword and the repair operation information may exist as one node of a fault tree, and specifically, the repair operation keyword may be a node of a next level of a component name of a lowest level to which the faulty component belongs, and the repair operation information may be a node of a next level of the repair operation keyword. For example, assuming that the maintenance operation information is "circulation oil path is blocked, the air filter cartridge in the gear box" 114 is replaced, based on which the server 300 extracts a keyword "circulation" 112 matching a preset keyword "circulation" 112 from the maintenance operation information as a maintenance operation keyword of the gear box oil 111 and sets it on a next-level node of the gear box oil 111, blocks the circulation oil path, and replaces the air filter cartridge "114 in the gear box as the maintenance operation information of the" circulation "112 and sets it on the next-level node of the" circulation "112, as shown in fig. 3.
Through the steps, the maintenance operation information input by the maintenance personnel can be accurately mapped with the fault component and the related nodes in the tree relation graph where the fault component is located, so that the formed fault tree is more complete and accurate, and other maintenance personnel can obtain more complete and accurate maintenance reference information from the fault tree.
In order to enable the fault tree to more visually display the frequency of the faults occurring in each component of the wind power equipment 100, and facilitate the maintenance personnel to quickly determine the possible reasons of the faults and to take corresponding maintenance operations, the generation method of the wind power fault tree further comprises the following steps.
The server 300 calculates the number of times of failure of each node belonging to a certain hierarchy and/or the proportion of the number of times of failure of each node belonging to the total number of times of failure of all nodes belonging to the certain hierarchy, and then displays the corresponding number of times and/or proportion on each node in the certain hierarchy.
For example, if the number of faults occurring in the next level node "cycle" 112 and "detect" 113 of the node of the gearbox oil 111 is 40 times and 60 times, respectively, "40" or "40%" may be displayed on the node of the "cycle" 112, and "60" or "60%" may be displayed on the node of the "detect" 113.
In order to facilitate a user to easily distinguish adjacent nodes in different levels when viewing and updating the fault tree, the nodes in the adjacent levels in the fault tree display different colors, and the nodes in the same level in the fault tree display the same color.
The invention also provides a block diagram of a generating device of the wind power fault tree in the embodiment, which comprises the following steps:
the first processing unit is used for analyzing data obtained from the wind power equipment 100, judging whether the wind power equipment 100 has a fault or not, and marking a fault tree of the fault if the wind power equipment 100 has the fault; the root node of the fault tree is the fault name of the fault, and the plurality of component names of the wind power equipment 100 are sequentially arranged on the corresponding nodes of each hierarchy level under the fault name according to the dependency relationship;
the second processing unit is used for receiving the part names of all levels to which the fault parts selected in the marked fault tree by a maintenance person belong; wherein the faulty component is within the wind power plant 100;
a third processing unit for receiving the repair operation information for the faulty component input by the repair person;
and the fourth processing unit is used for extracting a keyword matched with a preset keyword from the maintenance operation information as a maintenance operation keyword of the part name of the lowest level to which the fault part belongs, and using the maintenance operation information as the maintenance operation information of the maintenance operation keyword.
The specific manner of the processing unit to execute the steps refers to the related steps in the foregoing embodiments, and is not described herein again.
It should be noted that step numbers (letter or number numbers) are used to refer to some specific method steps in the present invention only for the purpose of convenience and brevity of description, and the order of the method steps is not limited by letters or numbers in any way. It will be clear to a person skilled in the art that the order of the steps of the method in question, as determined by the technology itself, should not be unduly limited by the presence of step numbers.
It will be appreciated by those skilled in the art that the above-described preferred embodiments may be freely combined, superimposed, without conflict.
It will be understood that the embodiments described above are illustrative only and not restrictive, and that various obvious and equivalent modifications and substitutions for details described herein may be made by those skilled in the art without departing from the basic principles of the invention.
Claims (10)
1. A method for generating a wind power fault tree is characterized by comprising the following steps:
s110, analyzing data obtained from wind power equipment, judging whether the wind power equipment has a fault, and if so, marking a fault tree of the fault; the root node of the fault tree is the fault name of the fault, and the plurality of component names of the wind power equipment are sequentially arranged on the corresponding nodes of each hierarchy under the fault name according to the subordinate relation;
s120, receiving part names of all levels to which fault parts selected in the marked fault tree by a maintenance person belong; wherein the faulty component is within the wind power plant;
s130, receiving maintenance operation information aiming at the fault component input by the maintenance personnel;
and S140, extracting a keyword matched with a preset keyword from the maintenance operation information as a maintenance operation keyword of the part name of the lowest level to which the fault part belongs, and using the maintenance operation information as the maintenance operation information of the maintenance operation keyword.
2. The generation method according to claim 1, further comprising the steps of:
after step S140, calculating the number of times of failure of the component to which each node belongs in a certain hierarchy and/or the ratio of the number of times of failure of the component to which each node belongs to the total number of failures of the components to which all nodes belong in the certain hierarchy;
each node in the certain hierarchy displays the corresponding number and/or proportion.
3. The generation method according to claim 1,
in step S120, after receiving the part name of the first hierarchy to which the faulty part selected by the serviceman in the marked faulty tree belongs, the part name of the second hierarchy to which the faulty part selected by the serviceman in the marked faulty tree belongs is received, wherein the second hierarchy is a next hierarchy of the first hierarchy.
4. The generation method according to claim 1,
in step S140, the repair operation keyword is used as a next-level node of a component name of a lowest level to which the failed component belongs, and the repair operation information is used as a next-level node of the repair operation keyword.
5. The generation method according to claim 1, further comprising the steps of:
after step S140, the nodes of adjacent levels in the fault tree display different colors, and the nodes of the same level in the fault tree display the same color.
6. A wind power fault tree generation device is characterized by comprising:
the first processing unit is used for analyzing data obtained from wind power equipment, judging whether the wind power equipment fails or not, and marking a fault tree of the failure if the wind power equipment fails; the root node of the fault tree is the fault name of the fault, and the plurality of component names of the wind power equipment are sequentially arranged on the corresponding nodes of each hierarchy under the fault name according to the subordinate relation;
the second processing unit is used for receiving the part names of all levels to which the fault parts selected in the marked fault tree by a maintenance person belong; wherein the faulty component is within the wind power plant;
a third processing unit for receiving the repair operation information for the faulty component input by the repair person;
and the fourth processing unit is used for extracting a keyword matched with a preset keyword from the maintenance operation information as a maintenance operation keyword of the part name of the lowest level to which the fault part belongs, and using the maintenance operation information as the maintenance operation information of the maintenance operation keyword.
7. The generation apparatus according to claim 6, further comprising a fifth processing unit configured to:
calculating the frequency of the fault of each node in a certain level and/or the proportion of the fault of each node in the total frequency of the faults of all the nodes in the certain level;
each node in the certain hierarchy displays the corresponding number and/or proportion.
8. The generation apparatus according to claim 6,
the second processing unit is configured to receive the part name of the second hierarchy to which the faulty part selected by the serviceman in the marked faulty tree belongs, only after receiving the part name of the first hierarchy to which the faulty part selected by the serviceman in the marked faulty tree belongs, where the second hierarchy is a next hierarchy of the first hierarchy.
9. The generation apparatus according to claim 6,
the maintenance operation key word is used as a next-level node of a component name of a lowest level to which the faulty component belongs, and the maintenance operation information is used as the next-level node of the maintenance operation key word.
10. The generation apparatus according to claim 6, further comprising a fifth processing unit configured to:
and displaying different colors on nodes of adjacent levels in the fault tree, and displaying the same color on nodes of the same level in the fault tree.
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| CN202110431881.2A CN113609243B (en) | 2021-04-21 | 2021-04-21 | Wind power fault tree generation method and device |
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| US20040172347A1 (en) * | 2003-02-28 | 2004-09-02 | Knut Barthel | Determining the occurrence of events using decision trees |
| US20180005126A1 (en) * | 2016-07-04 | 2018-01-04 | Panasonic Intellectual Property Management Co., Ltd. | Decision tree generating apparatus, decision tree generating method, non-transitory computer-readable recording medium, and inquiry system |
| CN109508902A (en) * | 2018-12-14 | 2019-03-22 | 安徽中船璞华科技有限公司 | Intelligent troubleshooting terminal based on fault tree models |
| CN112422336A (en) * | 2020-11-10 | 2021-02-26 | 深圳市康必达控制技术有限公司 | Intelligent fault diagnosis method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040172347A1 (en) * | 2003-02-28 | 2004-09-02 | Knut Barthel | Determining the occurrence of events using decision trees |
| US20180005126A1 (en) * | 2016-07-04 | 2018-01-04 | Panasonic Intellectual Property Management Co., Ltd. | Decision tree generating apparatus, decision tree generating method, non-transitory computer-readable recording medium, and inquiry system |
| CN109508902A (en) * | 2018-12-14 | 2019-03-22 | 安徽中船璞华科技有限公司 | Intelligent troubleshooting terminal based on fault tree models |
| CN112422336A (en) * | 2020-11-10 | 2021-02-26 | 深圳市康必达控制技术有限公司 | Intelligent fault diagnosis method |
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