CN114575942B - Steam turbine operation and maintenance auxiliary system based on multidimensional decision diagram - Google Patents
Steam turbine operation and maintenance auxiliary system based on multidimensional decision diagram Download PDFInfo
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- CN114575942B CN114575942B CN202210314663.5A CN202210314663A CN114575942B CN 114575942 B CN114575942 B CN 114575942B CN 202210314663 A CN202210314663 A CN 202210314663A CN 114575942 B CN114575942 B CN 114575942B
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- 238000012423 maintenance Methods 0.000 title claims abstract description 43
- 238000010586 diagram Methods 0.000 title claims description 16
- 238000004458 analytical method Methods 0.000 claims abstract description 26
- 230000003993 interaction Effects 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims abstract description 7
- 230000008569 process Effects 0.000 claims abstract description 5
- 238000011156 evaluation Methods 0.000 claims description 9
- 238000012937 correction Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 7
- 230000002452 interceptive effect Effects 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 6
- 238000013139 quantization Methods 0.000 claims description 5
- 230000003238 somatosensory effect Effects 0.000 claims description 5
- 230000008859 change Effects 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 3
- 238000013499 data model Methods 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 230000002265 prevention Effects 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01D—NON-POSITIVE DISPLACEMENT MACHINES OR ENGINES, e.g. STEAM TURBINES
- F01D21/00—Shutting-down of machines or engines, e.g. in emergency; Regulating, controlling, or safety means not otherwise provided for
- F01D21/003—Arrangements for testing or measuring
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01D—NON-POSITIVE DISPLACEMENT MACHINES OR ENGINES, e.g. STEAM TURBINES
- F01D21/00—Shutting-down of machines or engines, e.g. in emergency; Regulating, controlling, or safety means not otherwise provided for
- F01D21/14—Shutting-down of machines or engines, e.g. in emergency; Regulating, controlling, or safety means not otherwise provided for responsive to other specific conditions
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01D—NON-POSITIVE DISPLACEMENT MACHINES OR ENGINES, e.g. STEAM TURBINES
- F01D25/00—Component parts, details, or accessories, not provided for in, or of interest apart from, other groups
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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- General Engineering & Computer Science (AREA)
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Abstract
The invention is suitable for the technical field of turbines, and provides a turbine operation and maintenance auxiliary system based on a multidimensional decision graph, which comprises a mixed reality interaction terminal and a turbine operation and maintenance auxiliary decision system, wherein the mixed reality interaction terminal is matched with the turbine operation and maintenance auxiliary decision system and is used for displaying turbine operation parameters in a mixed reality display mode and supporting auxiliary decision support in an operation process; the turbine operation and maintenance auxiliary decision-making system comprises: the system comprises a display module, an operation state analysis and prediction module, a fault analysis module and a guiding module. According to the invention, virtual information and real vision are combined, the operation information of the turbine equipment is interactively displayed, the operation state analysis and prediction module is arranged to monitor and predict the operation state of the turbine equipment, and the failure cause analysis module is used for analyzing the failure cause of the turbine equipment, so that the operation and maintenance of the turbine can be timely and comprehensively realized, and the operation efficiency of the turbine equipment is improved.
Description
Technical Field
The invention belongs to the technical field of turbines, and particularly relates to a turbine operation and maintenance auxiliary system based on a multidimensional decision diagram.
Background
As the health status of the turbine components or the whole body involves various subjects such as materials, aerodynamic heat, structures, control sensing measurement, probability statistics and the like, many theoretical and practical problems remain to be solved so far, so that the health management of the turbine is still in a starting exploration stage.
The operation and maintenance of the existing steam turbine are basically finished by routine inspection, or an expert performs the operation and maintenance through actual operation data of the steam turbine, and when equipment fails, the equipment is maintained and overhauled by the experience of the expert. At present, no special and comprehensive operation and maintenance system for the steam turbine exists, and the existing operation and maintenance method basically aims at a certain condition to carry out operation and detection, so that the operation and maintenance of the steam turbine cannot be timely and comprehensively realized, and the problem of low efficiency exists.
Disclosure of Invention
The embodiment of the invention aims to provide a turbine operation and maintenance auxiliary system based on a multi-dimensional decision diagram, which aims to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the turbine operation and maintenance auxiliary system based on the multi-dimensional decision diagram comprises a mixed reality interaction terminal and a turbine operation and maintenance auxiliary decision system, wherein the mixed reality interaction terminal is matched with the turbine operation and maintenance auxiliary decision system, is used for displaying turbine operation parameters in a mixed reality display mode and is used for carrying out auxiliary decision support in the operation process;
the turbine operation and maintenance auxiliary decision-making system comprises:
the display module runs in parallel and completes the display of the structure of the steam turbine, the position of the measuring point of the steam turbine and data according to visual information;
the operation state analysis and prediction module is used for analyzing and predicting the operation state of the steam turbine based on the multi-dimensional decision graph;
the fault analysis module is used for analyzing fault reasons;
and the guiding module is used for guiding the running operation of the steam turbine.
Further, the construction of the turbine operation and maintenance auxiliary decision-making system comprises the following specific implementation steps:
s1, collecting on-site turbine operation monitoring data, interactively displaying a turbine structure, a monitoring measuring point installation position and measuring point actual data in a three-dimensional mixed reality mode, and storing the data in a historical data form;
s2, inputting the operation data of the steam turbine into an operation state analysis and prediction module, obtaining the operation state parameters of the steam turbine, predicting a change trend of a period of time in the future, and displaying in an interactive mode of three-dimensional mixed reality.
Further, the specific implementation steps of the running state analysis and prediction module are as follows:
s11, offline learning: combining different parameters into different state spaces according to the distribution of the historical data in the multidimensional space, establishing state models of the different spaces, and recording;
s12, online prediction: judging the affiliated state space according to the actually collected data, and inputting a corresponding state vector model to obtain a state vector;
s13, online correction: when the deviation between the predicted state variable and the actual state variable exceeds a threshold value, the system enters an online correction mode by online correcting the mark position '1', searches enough data close to the state to be corrected from historical data, reestablishes a state vector model of the data, and simultaneously updates an old model.
Furthermore, the fault analysis module reenactes the fault phenomenon through a three-dimensional mixed reality mode and is used for giving out fault reasons and accident prevention suggestions.
Further, the system also comprises a three-dimensional module, wherein the three-dimensional module is used for supporting a turbine operation and maintenance auxiliary decision-making system, and the three-dimensional module adopts three-dimensional modeling software to establish a three-dimensional model of a device structure, a data measurement sensor, an operation and maintenance tool and a device operation environment.
Further, the mixed reality interactive terminal comprises a head-mounted device, a somatosensory device, a video device and a voice device.
Further, the system also comprises an evaluation and quantization module, wherein the evaluation and quantization module is used for outputting real-time evaluation result data of the operation state of the steam turbine.
Further, the system also comprises a data acquisition and processing module, wherein the data acquisition and processing module is built by a data model.
Compared with the prior art, the invention has the beneficial effects that:
according to the turbine operation and maintenance auxiliary system based on the multidimensional decision graph, virtual information and real view are combined, the operation information of the turbine equipment is displayed interactively, an operation state analysis and prediction module is arranged to monitor and predict the operation state of the turbine equipment, and a fault cause analysis module is used for analyzing the fault cause of the turbine equipment, so that the operation and maintenance of the turbine can be realized timely and comprehensively, and the operation efficiency of the turbine equipment is improved.
Drawings
FIG. 1 is a schematic diagram of a turbine operation and maintenance auxiliary system based on a multi-dimensional decision diagram.
FIG. 2 is a multi-dimensional decision diagram in a turbine operation and maintenance auxiliary system based on the multi-dimensional decision diagram.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific implementations of the invention are described in detail below in connection with specific embodiments.
The invention provides a turbine operation and maintenance auxiliary system based on a multi-dimensional decision diagram, which comprises a mixed reality interaction terminal and a turbine operation and maintenance auxiliary decision system, wherein the mixed reality interaction terminal is matched with the turbine operation and maintenance auxiliary decision system and is used for displaying turbine operation parameters in a mixed reality display mode and supporting auxiliary decision support in an operation process;
the turbine operation and maintenance auxiliary decision-making system comprises:
the display module runs in parallel and completes the display of the structure of the steam turbine, the position of the measuring point of the steam turbine and data according to visual information;
the operation state analysis and prediction module is used for analyzing and predicting the operation state of the steam turbine based on the multi-dimensional decision graph;
the fault analysis module is used for analyzing fault reasons;
and the guiding module is used for guiding the running operation of the steam turbine.
In the embodiment of the invention, virtual information and real vision are combined, the operation information of the turbine equipment is interactively displayed, the operation state analysis and prediction module is arranged to monitor and predict the operation state of the turbine equipment, and the failure cause analysis module is used for analyzing the failure cause of the turbine equipment, so that the operation efficiency of the turbine equipment is improved.
As a preferred embodiment of the invention, the construction of the turbine operation and maintenance auxiliary decision-making system comprises the following specific implementation steps:
s1, collecting on-site turbine operation monitoring data, interactively displaying a turbine structure, a monitoring measuring point installation position and measuring point actual data in a three-dimensional mixed reality mode, and storing the data in a historical data form;
s2, inputting the operation data of the steam turbine into an operation state analysis and prediction module, obtaining the operation state parameters of the steam turbine, predicting a change trend of a period of time in the future, and displaying in an interactive mode of three-dimensional mixed reality.
In the embodiment of the invention, preferably, the state analysis and prediction module monitors and predicts the operation state of the steam turbine equipment based on a multi-dimensional decision diagram.
As a preferred embodiment of the present invention, the specific implementation steps of the operation state analysis and prediction module are as follows:
s11, offline learning: combining different parameters into different state spaces according to the distribution of the historical data in the multidimensional space, establishing state models of the different spaces, and recording;
s12, online prediction: judging the affiliated state space according to the actually collected data, and inputting a corresponding state vector model to obtain a state vector;
s13, online correction: when the deviation between the predicted state variable and the actual state variable exceeds a threshold value, the system enters an online correction mode by online correcting the mark position '1', searches enough data close to the state to be corrected from historical data, reestablishes a state vector model of the data, and simultaneously updates an old model.
In the embodiment of the invention, when the deviation between the predicted state variable and the actual state variable exceeds a threshold value or the deviation between the predicted state variable and the actual state variable is determined to be larger by people, the system enters an online correction mode by correcting the mark position '1' online; the most important influencing factors influencing the operation state of the steam turbine are the steam inlet parameters of the steam turbine, including the steam turbineThe three parameters are respectively used as XYZ coordinate axes, and a steam turbine running state space is constructed according to historical data; state vector = f x (flow, temperature, pressure).
As a preferred embodiment of the present invention, the fault analysis module recapitulates the fault phenomenon through a three-dimensional mixed reality mode, and is used for giving fault reasons and prevention suggestions of accident occurrence.
In the embodiment of the invention, preferably, the overhaul operating point is automatically judged according to the information acquired by the user through the overhaul operating point judging module, and meanwhile, the characteristic information model visualization is realized by utilizing the information visualizing module; the literal description of the operation procedure of the equipment is converted into three-dimensional mixed reality interaction prompt, and operation data change and operation step guiding suggestion are provided.
The system is characterized by further comprising a three-dimensional module, wherein the three-dimensional module is used for supporting a turbine operation and maintenance auxiliary decision-making system, and three-dimensional modeling software is adopted by the three-dimensional module to build a three-dimensional model of equipment structure, data measuring sensors, operation and maintenance tools and equipment operation environment.
In the embodiment of the invention, preferably, during interaction, overhaul model data stored in the mixed reality equipment is called; acquiring somatosensory, video and voice data; and outputting operation and maintenance auxiliary decision data of the operation site by using the virtual image.
As a preferred embodiment of the present invention, the mixed reality interactive terminal includes a head-mounted device, a somatosensory device, a video device and a voice device.
In the embodiment of the invention, the user can conveniently use the device through the setting of the four mixed reality interaction terminals, namely the head-mounted device, the somatosensory device, the video device and the voice device.
As a preferred embodiment of the present invention, the system further comprises an evaluation and quantization module for outputting real-time evaluation result data of the operation state of the steam turbine.
In the embodiment of the invention, preferably, the real-time evaluation result data of the running state of the whole running process of the equipment is output through the evaluation quantization module.
As a preferred embodiment of the present invention, the system further comprises a data acquisition and processing module, wherein the data acquisition and processing module is built by a data model.
In the embodiment of the invention, preferably, the data acquisition processing module stores measurement sensor data, external environment characteristic data, visual information data and operation guidance data, user information and authority data in the turbine operation and maintenance auxiliary system.
The working principle of the invention is as follows:
according to the turbine operation and maintenance auxiliary system based on the multi-dimensional decision diagram, virtual information and real view are combined, the operation information of the turbine equipment is displayed interactively, an operation state analysis and prediction module is arranged to monitor and predict the operation state of the turbine equipment, and a fault cause analysis module is used for analyzing the fault cause of the turbine equipment, so that the operation efficiency of the turbine equipment is improved.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and improvements can be made by those skilled in the art without departing from the spirit of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent.
Claims (6)
1. The turbine operation and maintenance auxiliary system based on the multi-dimensional decision diagram is characterized by comprising a mixed reality interaction terminal and a turbine operation and maintenance auxiliary decision system, wherein the mixed reality interaction terminal is matched with the turbine operation and maintenance auxiliary decision system and is used for displaying turbine operation parameters in a mixed reality display mode and supporting auxiliary decision support in an operation process;
the turbine operation and maintenance auxiliary decision-making system comprises:
the display module runs in parallel and completes the display of the structure of the steam turbine, the position of the measuring point of the steam turbine and data according to visual information;
the operation state analysis and prediction module is used for analyzing and predicting the operation state of the steam turbine based on the multi-dimensional decision graph;
the fault analysis module is used for analyzing fault reasons;
the guiding module is used for guiding the running operation of the steam turbine;
the construction of the turbine operation and maintenance auxiliary decision-making system comprises the following specific implementation steps:
s1, collecting on-site turbine operation monitoring data, interactively displaying a turbine structure, a monitoring measuring point installation position and measuring point actual data in a three-dimensional mixed reality mode, and storing the data in a historical data form;
s2, inputting the operation data of the steam turbine into an operation state analysis and prediction module, obtaining the operation state parameters of the steam turbine and predicting a future period of change trend, and displaying in an interactive mode of three-dimensional mixed reality;
the specific implementation steps of the running state analysis and prediction module are as follows:
s11, offline learning: combining different parameters into different state spaces according to the distribution of the historical data in the multidimensional space, establishing state models of the different spaces, and recording;
s12, online prediction: judging the affiliated state space according to the actually collected data, and inputting a corresponding state vector model to obtain a state vector;
s13, online correction: when the deviation between the predicted state variable and the actual state variable exceeds a threshold value, the system enters an online correction mode by online correcting the mark position '1', searches enough data close to the state to be corrected from historical data, reestablishes a state vector model of the data, and simultaneously updates an old model.
2. The system according to claim 1, wherein the fault analysis module replay fault phenomena through a three-dimensional mixed reality mode and is used for giving fault cause and accident prevention suggestions.
3. The system of claim 1, further comprising a three-dimensional module for supporting the system, wherein the three-dimensional module uses three-dimensional modeling software to build three-dimensional models of the plant structure, the data measurement sensor, the operation tool, and the plant operating environment.
4. The multi-dimensional decision diagram based turbine operation and maintenance assistance system of claim 1, wherein the mixed reality interactive terminal comprises a head-mounted device, a somatosensory device, a video device and a voice device.
5. The multi-dimensional decision diagram-based turbine operation and maintenance assistance system according to claim 1, further comprising an evaluation and quantization module for outputting real-time evaluation result data of the turbine operation state.
6. The multi-dimensional decision diagram-based turbine operation and maintenance assistance system according to claim 1, further comprising a data acquisition and processing module, wherein the data acquisition and processing module is built with a data model.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108729963A (en) * | 2018-05-30 | 2018-11-02 | 安徽霍尼威尔仪器仪表有限公司 | A kind of Balancing of Steam Turbine Shaft failure prediction method and system |
| CN111258431A (en) * | 2020-01-21 | 2020-06-09 | 华北电力大学（保定） | Steam turbine overhauls auxiliary system based on mix reality |
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| US20130179356A1 (en) * | 2012-01-05 | 2013-07-11 | General Electric Company | Method and system for maintenance of turbomachinery |
| US20200319626A1 (en) * | 2017-10-10 | 2020-10-08 | Siemens Aktiengesellschaft | Method and apparatus for monitoring the state of a device in a process industry and medium |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108729963A (en) * | 2018-05-30 | 2018-11-02 | 安徽霍尼威尔仪器仪表有限公司 | A kind of Balancing of Steam Turbine Shaft failure prediction method and system |
| CN111258431A (en) * | 2020-01-21 | 2020-06-09 | 华北电力大学（保定） | Steam turbine overhauls auxiliary system based on mix reality |
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