CN113374582A - Device and method for evaluating running state of gas turbine - Google Patents
Device and method for evaluating running state of gas turbine Download PDFInfo
- Publication number
- CN113374582A CN113374582A CN202110857605.2A CN202110857605A CN113374582A CN 113374582 A CN113374582 A CN 113374582A CN 202110857605 A CN202110857605 A CN 202110857605A CN 113374582 A CN113374582 A CN 113374582A
- Authority
- CN
- China
- Prior art keywords
- module
- gas turbine
- real
- time
- parameter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02C—GAS-TURBINE PLANTS; AIR INTAKES FOR JET-PROPULSION PLANTS; CONTROLLING FUEL SUPPLY IN AIR-BREATHING JET-PROPULSION PLANTS
- F02C9/00—Controlling gas-turbine plants; Controlling fuel supply in air- breathing jet-propulsion plants
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/80—Diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/82—Forecasts
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/83—Testing, e.g. methods, components or tools therefor
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention provides a device and a method for evaluating the running state of a gas turbine, and belongs to the field of evaluation of the running state of the gas turbine. The method specifically comprises the following steps: the system comprises a sensor module, a gas turbine measurement and control module, an Ethernet communication module, a parameter real-time monitoring module, a state real-time evaluation module, a gas turbine running state change trend module, a database and a human-computer interaction interface; collecting real-time operation data of the gas turbine through a sensor module, judging the operation condition according to the operation data through a parameter real-time monitoring module to calculate the parameter change rate, and realizing the evaluation of the parameters of the gas turbine and the evaluation of the overall operation state according to the parameter change rate of a state real-time evaluation module; the problem that fault finding of the gas turbine is not timely in the prior art is solved, evaluation, monitoring and prediction of the running state of the gas turbine are achieved, and the running state is displayed on a human-computer interaction interface simply and visually.
Description
Technical Field
The invention relates to a gas turbine evaluation device, in particular to a gas turbine running state evaluation device and method, and belongs to the field of gas turbine running state evaluation.
Background
The gas turbine has a complex structure and a severe working environment, and major safety accidents can be caused once a fault occurs. Effective operation and maintenance guarantee can reduce accident risk, reduce maintenance cost and reduce economic loss, so that the real-time state evaluation and prediction of the system are very important.
The conventional method usually adopts a manual inspection mode to perform itinerant inspection at regular time, and the mode is influenced by the meticulous degree of the inspection by workers, so that the fault is not found timely due to negligence of the workers, and the risk of accidents is high.
Therefore, a gas turbine operation state evaluation device and method are needed to solve the problem of the prior art that the fault of the gas turbine is not found timely.
Disclosure of Invention
The following presents a simplified summary of the invention in order to provide a basic understanding of some aspects of the invention. It should be understood that this summary is not an exhaustive overview of the invention. It is not intended to determine the key or critical elements of the present invention, nor is it intended to limit the scope of the present invention. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is discussed later.
The invention provides a state evaluation device applied to a gas turbine, which comprises: the system comprises a sensor module, a gas turbine measurement and control module, an Ethernet communication module, a parameter real-time monitoring module, a state real-time evaluation module, a gas turbine running state change trend module, a database and a human-computer interaction interface;
the output end of the sensor module is connected with the input end of the gas turbine measurement and control module; the output end of the gas turbine measurement and control module is connected with the input end of the Ethernet communication module; the output end of the Ethernet communication module is connected with the input end of the parameter real-time monitoring module; the output end of the parameter real-time monitoring module is connected with the input end of the state real-time evaluation module; the output end of the state real-time evaluation module is connected with the input end of the gas turbine running state change trend module;
the input end of the database is respectively connected with the output end of the Ethernet communication module, the output end of the gas turbine running state change trend module, the output end of the parameter real-time monitoring module and the output end of the state real-time evaluation module;
the output end of the database is connected with the input end of the gas turbine running state change trend module;
and the input end of the human-computer interaction interface is respectively connected with the output end of the parameter real-time monitoring module, the output end of the gas turbine running state change trend module and the output end of the state real-time evaluation module.
Preferably, the sensor module comprises a temperature sensor, a vibration sensor, a pressure sensor, a flow sensor and a rotating speed sensor, and the gas turbine measurement and control module receives data of each sensor and summarizes the data at the same time.
Preferably, the parameter real-time monitoring module receives the gas turbine parameters collected by the sensor module and transmitted by the Ethernet communication module; the parameter real-time monitoring module comprises a gas turbine working condition judging module, a parameter reference value selecting module and a parameter preprocessing module; the output end of the gas turbine working condition judgment module is connected with the database and the input end of the human-computer interaction interface; the output end of the parameter reference value selection module is connected with the input end of the human-computer interaction interface, and the output end of the parameter preprocessing module is connected with the input end of the state real-time evaluation module, the database and the human-computer interaction interface.
Preferably, the state real-time evaluation module comprises a parameter state evaluation module, a component state evaluation module and a complete machine state evaluation module; the output end of the parameter state evaluation module is connected with the input end of the component state evaluation module and the output end of the human-computer interaction interface; the output end of the component state evaluation module is connected with the input end of the whole machine state evaluation module and the input end of the human-computer interaction interface; the output end of the complete machine state evaluation module is respectively connected with the input end of the database, the input end of the gas turbine state change trend module and the input end of the human-computer interaction interface.
Preferably, the gas turbine operation state change trend module comprises an operation state dynamic prediction module, a short-time prediction module and a long-time prediction module; the input end of the dynamic prediction module, the input end of the short-time prediction module and the input end of the long-time prediction module are connected with the output end of the state real-time evaluation module and the output end of the database;
preferably, the input end communication interface of the Ethernet communication module is connected with the sensor module by adopting an IMB-M43H onboard Ethernet controller Intel I219-LM.
Preferably, the output end of the gas turbine measurement and control module is connected with the input end of the Ethernet communication module through a bus to perform one-way communication.
A gas turbine operating condition evaluation method comprising the steps of:
the method comprises the following steps that firstly, a sensor module collects information such as real-time pressure values, temperature values, shaft rotating speeds and flow values of the gas turbine; transmitting the acquired data to a gas turbine measurement and control module;
transmitting the data of the step one to a parameter real-time monitoring module by a gas turbine measurement and control module through an Ethernet communication module;
thirdly, the parameter real-time monitoring module judges the current working condition of the gas turbine according to the real-time change of the operating parameters of the gas turbine, selects a parameter reference value according to the current working condition, calculates the parameter change rate and transmits the parameter change rate to the state real-time evaluation module;
the state real-time evaluation module evaluates the real-time running state of the gas turbine according to the parameter change rate and transmits the real-time running state data to the gas turbine running state change trend module;
and step five, the gas turbine running state change trend module compares the real-time running state of the gas turbine with the historical running state of the gas turbine so as to predict the gas turbine running state change trend.
And step six, the data output from the step one to the step five is simultaneously transmitted to a database and a human-computer interaction interface so as to store and display the data.
The invention has the following beneficial effects: the method comprises the steps of collecting real-time operation data of the gas turbine through a sensor module, judging operation conditions according to the operation data through a parameter real-time monitoring module to calculate the parameter change rate, realizing the evaluation of parameters of the gas turbine and the evaluation of the overall operation state according to the parameter change rate of a state real-time evaluation module, and realizing the prediction of the operation state change trend of the gas turbine according to the current value and the historical value of the evaluation result of the overall operation state of the gas turbine; the problem that fault finding of the gas turbine is not timely in the prior art is solved, evaluation, monitoring and prediction of the running state of the gas turbine are achieved, and the running state is displayed on a human-computer interaction interface simply and visually.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic structural diagram of a system according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a sensor module according to a first embodiment of the present invention;
fig. 3 is a schematic connection diagram of a parameter real-time monitoring module according to a first embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating a connection of a real-time status evaluation module according to a first embodiment of the present invention;
FIG. 5 is a schematic view of a gas turbine engine operating state trend module according to a first embodiment of the present invention;
fig. 6 is a flowchart illustrating a method according to a second embodiment of the present invention.
Detailed Description
In order to make the technical solutions and advantages of the embodiments of the present application more apparent, the following further detailed description of the exemplary embodiments of the present application with reference to the accompanying drawings makes it clear that the described embodiments are only a part of the embodiments of the present application, and are not exhaustive of all embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
First embodiment, the present embodiment is described with reference to fig. 1 to 5, and a state evaluation device applied to a gas turbine includes: the system comprises a sensor module, a gas turbine measurement and control module, an Ethernet communication module, a parameter real-time monitoring module, a state real-time evaluation module, a gas turbine running state change trend module, a database and a human-computer interaction interface;
the output end of the sensor module is connected with the input end of the gas turbine measurement and control module; the output end of the gas turbine measurement and control module is connected with the input end of the Ethernet communication module; the output end of the Ethernet communication module is connected with the input end of the parameter real-time monitoring module; the output end of the parameter real-time monitoring module is connected with the input end of the state real-time evaluation module; the output end of the state real-time evaluation module is connected with the input end of the gas turbine running state change trend module;
the input end of the database is respectively connected with the output end of the Ethernet communication module, the output end of the gas turbine running state change trend module, the output end of the parameter real-time monitoring module and the output end of the state real-time evaluation module;
the output end of the database is connected with the input end of the gas turbine running state change trend module;
and the input end of the human-computer interaction interface is respectively connected with the output end of the parameter real-time monitoring module, the output end of the gas turbine running state change trend module and the output end of the state real-time evaluation module.
Specifically, the sensor module is used for monitoring each characteristic parameter of the gas turbine in real time to acquire the characteristic parameters in real time.
And the gas turbine measurement and control module receives the data transmitted by the sensor module.
The Ethernet communication module is used for transmitting the sensor module data received by the gas turbine measurement and control module to the parameter real-time monitoring module.
The parameter real-time monitoring module is used for monitoring the real-time change of the operating parameters of the gas turbine, judging the working condition, selecting the reference value of the parameters and calculating the change rate of the parameters.
The real-time state evaluation module is used for evaluating the real-time running state of the gas turbine component and the whole gas turbine component.
The gas turbine running state change trend module is used for predicting the gas turbine running state change trend.
The database is used for storing the running time, the monitoring parameters, the components of the gas turbine and the whole running state thereof and the predicted values of the running state of the gas turbine
The human-computer interaction interface is used for displaying monitoring parameters and components of the gas turbine, the integral operation state of the gas turbine and the variation trend of the operation state of the gas turbine.
Specifically, the sensor module includes temperature sensor, vibration sensor, pressure sensor, flow sensor and speed sensor, the data of each sensor is received to gas turbine observes and controls module to data summary with same time. The output end of the gas turbine measurement and control module is connected with the input end of the Ethernet communication module through a bus to perform one-way communication.
Specifically, an input end communication interface of the Ethernet communication module is connected with the sensor module by adopting an IMB-M43H onboard Ethernet controller Intel I219-LM.
Specifically, the sensor module is connected with the gas turbine measurement and control module through an analog quantity cable and a digital quantity electric quantity.
Specifically, the parameter real-time monitoring module receives the gas turbine parameters collected by the sensor module and transmitted by the Ethernet communication module; the parameter real-time monitoring module comprises a gas turbine working condition judging module, a parameter reference value selecting module and a parameter preprocessing module; the output end of the gas turbine working condition judgment module is connected with the database and the input end of the human-computer interaction interface; the output end of the parameter reference value selection module is connected with the input end of the human-computer interaction interface, and the output end of the parameter preprocessing module is connected with the input end of the state real-time evaluation module, the database and the human-computer interaction interface. The gas turbine working condition judging module judges the current working condition according to the gas turbine operating parameters, the parameter reference value selecting module selects a parameter reference value according to the operating working condition, the parameter reference value is each parameter value when the gas turbine is in a healthy operating state when the gas turbine is degraded, the parameter preprocessing module calculates the parameter change rate, the current working condition of the gas turbine, each parameter reference value and monitoring value under the working condition and each current parameter change rate are displayed by a man-machine interaction interface, the working condition and the parameter change rate are stored in a database, and the parameter change rate is transmitted to the real-time state evaluating module.
Specifically, the parameter change rate is calculated by subtracting the parameter reference value from the real-time data of the gas turbine operation and dividing the parameter reference value by the parameter reference value.
Specifically, the state real-time evaluation module comprises a parameter state evaluation module, a component state evaluation module and a complete machine state evaluation module; the output end of the parameter state evaluation module is connected with the input end of the component state evaluation module and the output end of the human-computer interaction interface; the output end of the component state evaluation module is connected with the input end of the whole machine state evaluation module and the input end of the human-computer interaction interface; the output end of the complete machine state evaluation module is respectively connected with the input end of the database, the input end of the gas turbine state change trend module and the input end of the human-computer interaction interface. And the parameter state evaluation module receives the parameter change rate obtained by the parameter preprocessing module, and performs parameter state evaluation through the membership function to obtain an evaluation result of the gas turbine. And transmitting the evaluation result to a component state evaluation module and a human-computer interaction interface, wherein the component state evaluation module obtains the operation state evaluation result of each component by using an analytic hierarchy process and transmits the evaluation result to the complete machine state evaluation module and the human-computer interaction interface, the complete machine state evaluation module obtains the overall state evaluation result of the gas turbine by using the analytic hierarchy process, the complete machine state evaluation module transmits the evaluation result to a database to store the evaluation result, and simultaneously transmits the evaluation result to the gas turbine operation state change trend module and the human-computer interaction interface.
Specifically, the gas turbine operation state change trend module comprises an operation state dynamic prediction module, a short-time prediction module and a long-time prediction module; the input end of the dynamic prediction module, the input end of the short-time prediction module and the input end of the long-time prediction module are connected with the output end of the state real-time evaluation module and the output end of the data; and the gas turbine running state change trend module receives the evaluation result and calls sampling points with three lengths of short, medium and long gas turbine historical health degrees from the database respectively so as to realize gas turbine dynamic state prediction, short-time state prediction and long-time state prediction. The prediction result is stored in a database, and the three predicted operation state results and the historical real operation state result are displayed on a human-computer interaction interface, so that the method is simple and visual.
Specifically, the gas turbine running state change trend module predicts unknown state points with different time lengths by using different numbers of historical data points to realize multi-time scale prediction, wherein the dynamic prediction requires few historical points and the operation time is short; the short-time prediction can track the running state of the combustion engine in real time; and long-time prediction can realize long-time span combustion engine running state prediction. The crew can synthesize dynamic, short-term and long-term prediction results, realize fault early warning, grasp trend change of the whole operation state of the gas turbine, reasonably arrange an operation plan and formulate a maintenance strategy.
Specifically, the evaluation results of the gas turbine are expressed as health degrees.
Specifically, the ethernet communication module adopts a safe and reliable dual-redundancy industrial ethernet architecture, 2 optical 24 electrical, and supports a multimode optical fiber industrial ethernet ring network, so as to realize data transmission.
Specifically, the gas turbine measurement and control module includes:
4-20mA input module HDCS-AI8(8 channels)
4-20mA output module HDCS-AO8(8 channels)
Digital input module HDCS-DI16(16 channels)
Digital output module HDCS-DO16(16 channels)
Thermal resistance input module HDCS-RTD (8 channel)
Digital acquisition card, cabinet, power supply, etc.
Specifically, the gas turbine sensor module includes: most of the pressure sensor, the temperature sensor, the flow sensor, the rotating speed sensor, the vibration sensor and the like are integrated with the transmitter, physical signals (pressure, flow, temperature, rotating speed, vibration and the like) are converted into electric signals (signals such as 4-20mA/0-20mA/0-5V/1-5V and the like), the electric signals are output to the gas turbine measurement and control module, and the signals are transmitted to the database through the Ethernet communication module.
Second embodiment, the present embodiment is described with reference to fig. 6, and a method for evaluating an operating state of a gas turbine includes the steps of:
the method comprises the following steps that firstly, a sensor module collects information such as real-time pressure values, temperature values, shaft rotating speeds and flow values of the gas turbine; transmitting the acquired data to a gas turbine measurement and control module;
transmitting the data of the step one to a parameter real-time monitoring module by a gas turbine measurement and control module through an Ethernet communication module;
thirdly, the parameter real-time monitoring module judges the current working condition of the gas turbine according to the real-time change of the operating parameters of the gas turbine, selects a parameter reference value according to the current working condition, calculates the parameter change rate and transmits the parameter change rate to the state real-time evaluation module;
the state real-time evaluation module evaluates the real-time running state of the gas turbine according to the parameter change rate and transmits the real-time running state data to the gas turbine running state change trend module;
and step five, the gas turbine running state change trend module compares the real-time running state of the gas turbine with the historical running state of the gas turbine so as to predict the gas turbine running state change trend.
And step six, the data output from the step one to the step five is simultaneously transmitted to a database and a human-computer interaction interface so as to store and display the data.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this description, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as described herein. Furthermore, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The present invention has been disclosed in an illustrative rather than a restrictive sense, and the scope of the present invention is defined by the appended claims.
Claims (8)
1. A gas turbine operating condition evaluation device characterized by comprising: the system comprises a sensor module, a gas turbine measurement and control module, an Ethernet communication module, a parameter real-time monitoring module, a state real-time evaluation module, a gas turbine running state change trend module, a database and a human-computer interaction interface;
the output end of the sensor module is connected with the input end of the gas turbine measurement and control module; the output end of the gas turbine measurement and control module is connected with the input end of the Ethernet communication module; the output end of the Ethernet communication module is connected with the input end of the parameter real-time monitoring module; the output end of the parameter real-time monitoring module is connected with the input end of the state real-time evaluation module; the output end of the state real-time evaluation module is connected with the input end of the gas turbine running state change trend module;
the input end of the database is respectively connected with the output end of the Ethernet communication module, the output end of the gas turbine running state change trend module, the output end of the parameter real-time monitoring module and the output end of the state real-time evaluation module;
the output end of the database is connected with the input end of the gas turbine running state change trend module;
and the input end of the human-computer interaction interface is respectively connected with the output end of the parameter real-time monitoring module, the output end of the gas turbine running state change trend module and the output end of the state real-time evaluation module.
2. The device of claim 1, wherein the sensor module comprises a temperature sensor, a vibration sensor, a pressure sensor, a flow sensor and a rotating speed sensor, and the gas turbine measurement and control module receives data transmitted by the sensors and summarizes the data at the same time.
3. The device of claim 1, wherein the real-time parameter monitoring module receives the gas turbine parameters collected by the sensor module and transmitted by the Ethernet communication module; the parameter real-time monitoring module comprises a gas turbine working condition judging module, a parameter reference value selecting module and a parameter preprocessing module; the output end of the gas turbine working condition judgment module is connected with the database and the input end of the human-computer interaction interface; the output end of the parameter reference value selection module is connected with the input end of the human-computer interaction interface, and the output end of the parameter preprocessing module is connected with the input end of the state real-time evaluation module, the database and the human-computer interaction interface.
4. The device of claim 3, wherein the real-time status evaluation module comprises a parameter status evaluation module, a component status evaluation module and a complete machine status evaluation module; the output end of the parameter state evaluation module is connected with the input end of the component state evaluation module and the output end of the human-computer interaction interface; the output end of the component state evaluation module is connected with the input end of the whole machine state evaluation module and the input end of the human-computer interaction interface; the output end of the complete machine state evaluation module is respectively connected with the input end of the database, the input end of the gas turbine state change trend module and the input end of the human-computer interaction interface.
5. The apparatus of claim 4, wherein the gas turbine operating condition trend module comprises an operating condition dynamic prediction module, a short-term prediction module, and a long-term prediction module; the input end of the dynamic prediction module, the input end of the short-time prediction module and the input end of the long-time prediction module are connected with the output end of the state real-time evaluation module and the output end of the data.
6. The device of claim 5, wherein the Ethernet communication module input communication interface is connected to the sensor module using an IMB-M43H on-board Ethernet controller Intel I219-LM.
7. The device of claim 6, wherein the output end of the gas turbine measurement and control module is connected with the input end of the Ethernet communication module through a bus for unidirectional communication.
8. A gas turbine operation state evaluation method implemented by a gas turbine operation state evaluation apparatus according to claim 6, characterized by comprising the steps of:
the method comprises the following steps that firstly, a sensor module collects information such as real-time pressure values, temperature values, shaft rotating speeds and flow values of the gas turbine; transmitting the acquired data to a gas turbine measurement and control module;
transmitting the data of the step one to a parameter real-time monitoring module by a gas turbine measurement and control module through an Ethernet communication module;
thirdly, the parameter real-time monitoring module judges the current working condition of the gas turbine according to the real-time change of the operating parameters of the gas turbine, selects a parameter reference value according to the current working condition, calculates the parameter change rate and transmits the parameter change rate to the state real-time evaluation module;
the state real-time evaluation module evaluates the real-time running state of the gas turbine according to the parameter change rate and transmits the real-time running state data to the gas turbine running state change trend module;
and step five, the gas turbine running state change trend module compares the real-time running state of the gas turbine with the historical running state of the gas turbine so as to predict the gas turbine running state change trend.
And step six, the data output from the step one to the step five is simultaneously transmitted to a database and a human-computer interaction interface so as to store and display the data.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110857605.2A CN113374582B (en) | 2021-07-28 | 2021-07-28 | Device and method for evaluating running state of gas turbine |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110857605.2A CN113374582B (en) | 2021-07-28 | 2021-07-28 | Device and method for evaluating running state of gas turbine |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113374582A true CN113374582A (en) | 2021-09-10 |
CN113374582B CN113374582B (en) | 2022-09-27 |
Family
ID=77583052
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110857605.2A Active CN113374582B (en) | 2021-07-28 | 2021-07-28 | Device and method for evaluating running state of gas turbine |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113374582B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115130559A (en) * | 2022-06-06 | 2022-09-30 | 中国船舶集团有限公司系统工程研究院 | Method, system and terminal for monitoring and state assessment of marine gas turbine starting process |
CN115484146A (en) * | 2022-08-22 | 2022-12-16 | 中国船舶集团有限公司系统工程研究院 | Self-adaptive early warning method for state parameters of gas turbine under time-varying working condition |
CN118657516A (en) * | 2024-08-19 | 2024-09-17 | 贵州路桥集团有限公司 | A method for evaluating the condition of arch bridges |
Citations (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1258618A2 (en) * | 2001-05-18 | 2002-11-20 | General Electric Company | System and method for monitoring engine performance in a gas turbine engine |
US20030023466A1 (en) * | 2001-07-27 | 2003-01-30 | Harper Charles N. | Decision support system and method |
US20030107548A1 (en) * | 2001-12-08 | 2003-06-12 | Jong-Won Eun | System and method for executing diagnosis of vehicle performance |
JP2004324548A (en) * | 2003-04-25 | 2004-11-18 | Mitsubishi Heavy Ind Ltd | Anomaly monitoring device of equipment, anomaly monitoring device of gas turbine, gas turbine facility and combined power generating facility |
JP2007192138A (en) * | 2006-01-19 | 2007-08-02 | Mitsubishi Heavy Ind Ltd | Method and device for monitoring anomaly in gas turbine |
JP2007256042A (en) * | 2006-03-23 | 2007-10-04 | Mitsubishi Heavy Ind Ltd | Crack development prediction method of gas turbine high-temperature component, and crack development prediction device using the method |
US20090301055A1 (en) * | 2008-06-04 | 2009-12-10 | United Technologies Corp. | Gas Turbine Engine Systems and Methods Involving Vibration Monitoring |
CN101694182A (en) * | 2009-09-29 | 2010-04-14 | 上海中科清洁能源技术发展中心 | On-line failure diagnosis, prediction and feedback control method of small/medium size gas turbine and device thereof |
WO2010057680A1 (en) * | 2008-11-21 | 2010-05-27 | Siemens Aktiengesellschaft | Method and measurement device for determining a condition of an electric igniter of a gas turbine burner and an ignition device for a gas turbine burner |
CN101779020A (en) * | 2008-02-28 | 2010-07-14 | 三菱重工业株式会社 | Gas turbine control method and device |
CN102226428A (en) * | 2011-04-29 | 2011-10-26 | 哈尔滨工程大学 | Gas Turbine Health State Prediction Method |
JP2012058812A (en) * | 2010-09-06 | 2012-03-22 | Toshiba Corp | Trend data management device and trend data management method |
CN102840882A (en) * | 2012-09-04 | 2012-12-26 | 中国海洋石油总公司 | State monitoring and fault diagnosis system of gas turbine generating unit and use method of state monitoring and fault diagnosis system |
CN103364200A (en) * | 2013-07-03 | 2013-10-23 | 哈尔滨工程大学 | State evaluation method of starting procedure of gas turbine |
CN106092594A (en) * | 2016-05-26 | 2016-11-09 | 哈尔滨工程大学 | A kind of strong robustness gas turbine gas path component performance diagnogtics method of anti-sensor fault |
CN106840685A (en) * | 2017-01-22 | 2017-06-13 | 中科合肥微小型燃气轮机研究院有限责任公司 | A kind of gas turbine dynamic operation condition database sample point choosing method |
JP2018135859A (en) * | 2017-02-23 | 2018-08-30 | 三菱日立パワーシステムズ株式会社 | Gas turbine control device, gas turbine plant, and gas turbine control method |
RU2696919C1 (en) * | 2018-04-18 | 2019-08-07 | Акционерное общество "РОТЕК" (АО "РОТЕК") | Method and system for assessment of technical condition of gas turbine units based on temperature fields |
US20210200200A1 (en) * | 2019-12-26 | 2021-07-01 | Oracle International Corporation | Long-term predictions for maintenance |
-
2021
- 2021-07-28 CN CN202110857605.2A patent/CN113374582B/en active Active
Patent Citations (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1258618A2 (en) * | 2001-05-18 | 2002-11-20 | General Electric Company | System and method for monitoring engine performance in a gas turbine engine |
US20030023466A1 (en) * | 2001-07-27 | 2003-01-30 | Harper Charles N. | Decision support system and method |
US20030107548A1 (en) * | 2001-12-08 | 2003-06-12 | Jong-Won Eun | System and method for executing diagnosis of vehicle performance |
JP2004324548A (en) * | 2003-04-25 | 2004-11-18 | Mitsubishi Heavy Ind Ltd | Anomaly monitoring device of equipment, anomaly monitoring device of gas turbine, gas turbine facility and combined power generating facility |
JP2007192138A (en) * | 2006-01-19 | 2007-08-02 | Mitsubishi Heavy Ind Ltd | Method and device for monitoring anomaly in gas turbine |
JP2007256042A (en) * | 2006-03-23 | 2007-10-04 | Mitsubishi Heavy Ind Ltd | Crack development prediction method of gas turbine high-temperature component, and crack development prediction device using the method |
CN101779020A (en) * | 2008-02-28 | 2010-07-14 | 三菱重工业株式会社 | Gas turbine control method and device |
US20090301055A1 (en) * | 2008-06-04 | 2009-12-10 | United Technologies Corp. | Gas Turbine Engine Systems and Methods Involving Vibration Monitoring |
WO2010057680A1 (en) * | 2008-11-21 | 2010-05-27 | Siemens Aktiengesellschaft | Method and measurement device for determining a condition of an electric igniter of a gas turbine burner and an ignition device for a gas turbine burner |
CN101694182A (en) * | 2009-09-29 | 2010-04-14 | 上海中科清洁能源技术发展中心 | On-line failure diagnosis, prediction and feedback control method of small/medium size gas turbine and device thereof |
JP2012058812A (en) * | 2010-09-06 | 2012-03-22 | Toshiba Corp | Trend data management device and trend data management method |
CN102226428A (en) * | 2011-04-29 | 2011-10-26 | 哈尔滨工程大学 | Gas Turbine Health State Prediction Method |
CN102840882A (en) * | 2012-09-04 | 2012-12-26 | 中国海洋石油总公司 | State monitoring and fault diagnosis system of gas turbine generating unit and use method of state monitoring and fault diagnosis system |
CN103364200A (en) * | 2013-07-03 | 2013-10-23 | 哈尔滨工程大学 | State evaluation method of starting procedure of gas turbine |
CN106092594A (en) * | 2016-05-26 | 2016-11-09 | 哈尔滨工程大学 | A kind of strong robustness gas turbine gas path component performance diagnogtics method of anti-sensor fault |
CN106840685A (en) * | 2017-01-22 | 2017-06-13 | 中科合肥微小型燃气轮机研究院有限责任公司 | A kind of gas turbine dynamic operation condition database sample point choosing method |
JP2018135859A (en) * | 2017-02-23 | 2018-08-30 | 三菱日立パワーシステムズ株式会社 | Gas turbine control device, gas turbine plant, and gas turbine control method |
RU2696919C1 (en) * | 2018-04-18 | 2019-08-07 | Акционерное общество "РОТЕК" (АО "РОТЕК") | Method and system for assessment of technical condition of gas turbine units based on temperature fields |
US20210200200A1 (en) * | 2019-12-26 | 2021-07-01 | Oracle International Corporation | Long-term predictions for maintenance |
Non-Patent Citations (3)
Title |
---|
HENG CHEN等: "Thermodynamic analysis of a novel combined heat and power system incorporating a CO2 heat pump cycle for enhancing flexibility", 《APPLIED THERMAL ENGINEERING》 * |
刘九七: "一种新的舰船燃气轮机状态监测系统", 《燃气轮机技术》 * |
杨庆材等: "基于间隙度量的燃气轮机分段线性化建模方法", 《热能功力工程》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115130559A (en) * | 2022-06-06 | 2022-09-30 | 中国船舶集团有限公司系统工程研究院 | Method, system and terminal for monitoring and state assessment of marine gas turbine starting process |
CN115484146A (en) * | 2022-08-22 | 2022-12-16 | 中国船舶集团有限公司系统工程研究院 | Self-adaptive early warning method for state parameters of gas turbine under time-varying working condition |
CN118657516A (en) * | 2024-08-19 | 2024-09-17 | 贵州路桥集团有限公司 | A method for evaluating the condition of arch bridges |
CN118657516B (en) * | 2024-08-19 | 2024-10-25 | 贵州路桥集团有限公司 | A method for evaluating the condition of arch bridges |
Also Published As
Publication number | Publication date |
---|---|
CN113374582B (en) | 2022-09-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN113374582B (en) | Device and method for evaluating running state of gas turbine | |
CN110779716A (en) | Embedded mechanical fault intelligent diagnosis equipment and diagnosis method | |
CN108894932B (en) | Intelligent diagnosis system and method for bearing fault of generator of wind turbine generator | |
CN108803569A (en) | Station boiler diagnostic expert system and its method for diagnosing faults | |
WO2019203774A2 (en) | Self-learning malfunction monitoring and early warning system | |
CN115566804B (en) | Electric power monitoring system based on distributed optical fiber sensing technology | |
CN111098463A (en) | Injection molding machine fault diagnosis system and diagnosis method | |
CN115016339B (en) | Monitoring method, equipment and medium for outdoor power equipment | |
CN111882071A (en) | Prestress steel member monitoring method based on machine learning | |
CN113340344A (en) | Hydraulic climbing mould intelligent monitoring control early warning system based on digital twin technology | |
CN103558955A (en) | Multi-object state monitor method and system based on multi-object multi-state monitor | |
CN118309644A (en) | Pipeline pump operation flow monitoring method and system based on digital twin | |
CN109240253B (en) | Online equipment diagnosis and preventive maintenance method and system | |
CN118776614B (en) | Oil storage monitoring system | |
CN104535735A (en) | Water quality remote on-line monitoring method | |
CN112363432A (en) | Monitoring system and monitoring method for hydropower station auxiliary equipment | |
CN113375952B (en) | Stabilizer device fault diagnosis and health forecasting system | |
CN114839339A (en) | Method and system for monitoring hydrogen leakage amount of generator fixed cold water | |
CN116537965B (en) | On-line monitoring and fault diagnosis device for diesel engine | |
CN114019935A (en) | Real-time detection and diagnosis system based on industrial Internet of things equipment | |
CN113902246B (en) | On-line intelligent analysis and diagnosis method for thermodynamic process control of coal-fired unit | |
CN212483819U (en) | Ship cabin equipment health management and fault prediction system | |
CN117030007A (en) | Method and system for monitoring vibration of rotary machinery of thermal power plant | |
CN113034732B (en) | Method and device for diagnosing blockage of filter screen of traction converter | |
CN116647575A (en) | Equipment health management system and method of roller slag treatment device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |