CN111144009B - Running state evaluation method, device, equipment and storage medium of fan - Google Patents
Running state evaluation method, device, equipment and storage medium of fan Download PDFInfo
- Publication number
- CN111144009B CN111144009B CN201911380145.8A CN201911380145A CN111144009B CN 111144009 B CN111144009 B CN 111144009B CN 201911380145 A CN201911380145 A CN 201911380145A CN 111144009 B CN111144009 B CN 111144009B
- Authority
- CN
- China
- Prior art keywords
- evaluation
- fan
- parameter
- parameters
- historical data
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The application discloses running state evaluation method, device, equipment and storage medium of fan, wherein the method includes: acquiring running parameters of a fan in running and environmental parameters of the fan in the environment in real time; determining an evaluation model corresponding to the environmental parameters according to the corresponding relation between the environmental parameters and the evaluation model; determining an evaluation parameter corresponding to the operation parameter according to the operation parameter and a judgment threshold corresponding to the operation parameter based on the evaluation model, wherein the judgment threshold is determined according to historical data of the operation parameter; and outputting the state evaluation result corresponding to the evaluation parameter according to the corresponding relation between the evaluation parameter and the state evaluation result, thereby solving the technical problem of inaccurate evaluation when the running state of the fan is evaluated.
Description
Technical Field
The application relates to the technical field of wind power generation, in particular to a running state evaluation method, a running state evaluation device, running state evaluation equipment and a storage medium of a fan.
Background
In recent years, the wind power industry in China has attracted attention, and the proportion of each installed power generation capacity is steadily increased and becomes an important component in power supply. Therefore, the stable supply of wind power generation is guaranteed, and particularly the healthy running state of a fan directly determines the power generation amount of wind power.
One difficulty in evaluating the health state of a fan is that the current evaluation method mainly comprises the following steps: analysis based on vibration data. When the fan is installed, a vibration monitoring system is arranged and is responsible for collecting operation parameters of the fan during operation, and the operation state of the fan is evaluated and potential faults existing are analyzed by combining a frequency spectrum analysis theory. Although the evaluation method can evaluate the running state of the fan, the accuracy is low.
Disclosure of Invention
The application provides a running state evaluation method, a running state evaluation device, running state evaluation equipment and a storage medium of a fan, which are used for accurately evaluating the running state of the fan and solving the technical problem of inaccurate evaluation when the running state of the fan is evaluated at present.
In view of this, the first aspect of the present application provides a method for evaluating an operation state of a wind turbine, including:
acquiring running parameters of a fan in running and environmental parameters of the fan in the environment in real time;
determining an evaluation model corresponding to the environmental parameters according to the corresponding relation between the environmental parameters and the evaluation model;
determining an evaluation parameter corresponding to the operation parameter according to the operation parameter and a judgment threshold corresponding to the operation parameter based on the evaluation model, wherein the judgment threshold is determined according to historical data of the operation parameter;
and outputting the state evaluation result corresponding to the evaluation parameter according to the corresponding relation between the evaluation parameter and the state evaluation result.
Optionally, the operating parameters include: real-time rotational speed, real-time vibration, real-time wind speed, and real-time power.
Optionally, the determining the threshold includes: historical data mean and historical data standard deviation.
Optionally, the correspondence between the environmental parameter and the evaluation model specifically includes:
when the temperature in the environmental parameter is greater than the temperature threshold and the humidity in the environmental parameter is less than the humidity threshold, the corresponding evaluation model is as follows:
when the temperature in the environmental parameter is smaller than the temperature threshold and the humidity in the environmental parameter is larger than the humidity threshold, the corresponding evaluation model is as follows:
in the formula, HrTo evaluate the parameters, WcIs the real-time wind speed of the wind field, MwHistorical data for wind speedMean value, σwIs the historical data standard deviation of wind speed, ScFor real-time rotational speed of the fan, MsHistorical data mean, sigma, of fan speedsIs the historical data standard deviation, V, of the fan rotation speediFor real-time vibration of the fan, i ═ 1,2, … 10, MViIs the average value, sigma, of historical data of the vibration of each shaft of the fanViThe standard deviation is the historical data of the vibration of each bearing of the fan, N is 10, PcFor real-time power of the fan, MpIs the historical data mean value of fan power, sigmapIn the historical data standard deviation of the fan power, M1, M2, M3, M4, M5 and M6 are influence factors, Tc is temperature and Hc is humidity.
Optionally, the correspondence between the evaluation parameter and the state evaluation result specifically includes:
when the evaluation parameter is less than 3 points, the corresponding state evaluation result is poor;
when the evaluation parameter is divided into (3,5], the corresponding state evaluation result is a difference;
when the evaluation parameters are divided into (5,7], the corresponding state evaluation result is general;
when the evaluation parameters are divided into (7,9), the corresponding state evaluation result is good;
when the evaluation parameter is 9 points or more, the corresponding state evaluation result is excellent.
Optionally, the method further comprises:
comparing the operation parameters with judgment thresholds corresponding to the operation parameters to obtain early warning results corresponding to the operation parameters;
and outputting the early warning result.
This application second aspect provides an operating condition evaluation device of fan, includes:
the acquiring unit is used for acquiring operation parameters of the fan in operation and environment parameters of the fan in the environment in real time;
the model determining unit is used for determining an evaluation model corresponding to the environmental parameters according to the corresponding relation between the environmental parameters and the evaluation model;
the evaluation parameter determining unit is used for determining an evaluation parameter corresponding to the operation parameter according to the operation parameter and a judgment threshold corresponding to the operation parameter based on the evaluation model, wherein the judgment threshold is determined according to historical data of the operation parameter;
and the first output unit is used for outputting the state evaluation result corresponding to the evaluation parameter according to the corresponding relation between the evaluation parameter and the state evaluation result.
Optionally, the method further comprises:
the comparison unit is used for comparing the operation parameters with the judgment threshold values corresponding to the operation parameters to obtain early warning results corresponding to the operation parameters;
and the second output unit is used for outputting the early warning result.
The third aspect of the present application provides an operation state evaluation device of a fan, including a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the method for estimating the operating state of the wind turbine according to the instructions in the program code.
A fourth aspect of the present application provides a storage medium for storing a program code, where the program code is configured to execute the method for estimating an operating state of a wind turbine according to the first aspect.
According to the technical scheme, the embodiment of the application has the following advantages:
the application provides a running state evaluation method of a fan, firstly, running parameters of the fan during running and environment parameters of the fan in the environment are obtained in real time, then, an evaluation model corresponding to the environment parameters is determined according to the corresponding relation between the environment parameters and the evaluation model, then, based on the evaluation model, evaluation parameters corresponding to the running parameters are determined according to judgment thresholds corresponding to the running parameters and the running parameters, wherein the judgment thresholds are determined according to historical data of the running parameters, and finally, state evaluation results corresponding to the evaluation parameters are output according to the corresponding relation between the evaluation parameters and the state evaluation results. In this application, different from the prior art, the evaluation of the running state is only performed according to the running parameters, in this embodiment, the running parameters corresponding to a certain running state are evaluated according to the environmental parameters in the environment where the fan is located and the judgment threshold determined by the historical data, that is, the state evaluation result of the fan in the running state is judged, and the environmental parameters and the judgment threshold are dynamically determined respectively, so that the dynamic evaluation of the running state of the fan is realized, thereby performing accurate evaluation on the running state of the fan, and solving the technical problem of inaccurate evaluation when the existing evaluation is performed on the running state of the fan.
Drawings
Fig. 1 is a schematic flow chart of a first embodiment of a method for evaluating an operating state of a wind turbine in an embodiment of the present application;
fig. 2 is a schematic flow chart of a second embodiment of a method for evaluating an operating state of a wind turbine according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an operation state evaluation device of a fan in an embodiment of the present application.
Detailed Description
The embodiment of the application provides a running state evaluation method, a running state evaluation device, running state evaluation equipment and a storage medium of a fan, which are used for accurately evaluating the running state of the fan and solving the technical problem of inaccurate evaluation when the running state of the fan is evaluated at present.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, a schematic flow chart of a first embodiment of a method for evaluating an operating state of a wind turbine in an embodiment of the present application includes:
The running state of the fan is monitored in real time, and the running state is evaluated through the running parameters of the fan, so that the running parameters of the fan in running are obtained in real time.
The operation parameter may be obtained by a system communication interaction corresponding to the operation parameter, and the system may be an SCADA system. It is understood that this is merely illustrative and that one skilled in the art may choose a particular arrangement without particular limitation.
And 102, determining an evaluation model corresponding to the environmental parameter according to the corresponding relation between the environmental parameter and the evaluation model.
Different environment parameters and different evaluation models are adopted, and the corresponding evaluation models can ensure that the evaluation parameters corresponding to the operation parameters are determined according to the actual environment when different environment parameters are adopted, so that the result is more accurate.
And 103, determining an evaluation parameter corresponding to the operation parameter according to the operation parameter and a judgment threshold corresponding to the operation parameter based on the evaluation model, wherein the judgment threshold is determined according to historical data of the operation parameter.
The history period corresponding to the history data may be data of a week before the current time, or data of a month before the current time, and the like, and those skilled in the art may select the history period according to needs, which is not specifically limited herein.
And 104, outputting a state evaluation result corresponding to the evaluation parameter according to the corresponding relation between the evaluation parameter and the state evaluation result.
In this embodiment, first, an operating parameter of the fan during operation and an environmental parameter of the environment in which the fan is located are obtained in real time, then, an evaluation model corresponding to the environmental parameter is determined according to a corresponding relationship between the environmental parameter and the evaluation model, then, based on the evaluation model, an evaluation parameter corresponding to the operating parameter is determined according to a judgment threshold corresponding to the operating parameter and the operating parameter, where the judgment threshold is determined according to historical data of the operating parameter, and finally, a state evaluation result corresponding to the evaluation parameter is output according to a corresponding relationship between the evaluation parameter and the state evaluation result. In this application, different from the prior art, the evaluation of the running state is only performed according to the running parameters, in this embodiment, the running parameters corresponding to a certain running state are evaluated according to the environmental parameters in the environment where the fan is located and the judgment threshold determined by the historical data, that is, the state evaluation result of the fan in the running state is judged, and the environmental parameters and the judgment threshold are dynamically determined respectively, so that the dynamic evaluation of the running state of the fan is realized, thereby performing accurate evaluation on the running state of the fan, and solving the technical problem of inaccurate evaluation when the existing evaluation is performed on the running state of the fan.
The above is a first embodiment of the method for evaluating the operating state of the fan provided in the embodiment of the present application, and the following is a second embodiment of the method for evaluating the operating state of the fan provided in the embodiment of the present application.
Referring to fig. 2, a schematic flow chart of a second embodiment of a method for evaluating an operating state of a wind turbine in an embodiment of the present application includes:
It should be noted that the operating parameters include: real-time rotational speed, real-time vibration, real-time wind speed, and real-time power. For obtaining each operation parameter, reference may be made to the description of step 101 in the first embodiment, and details are not described here.
The environmental parameters include temperature and humidity, and the acquisition of humidity may be by relative humidity measurement.
It should be noted that the correspondence between the environmental parameter and the evaluation model specifically includes:
when the temperature in the environmental parameter is greater than the temperature threshold and the humidity in the environmental parameter is less than the humidity threshold, the corresponding evaluation model is as follows:
when the temperature in the environmental parameter is smaller than the temperature threshold and the humidity in the environmental parameter is larger than the humidity threshold, the corresponding evaluation model is as follows:
in the formula, HrTo evaluate the parameters, WcIs the real-time wind speed of the wind field, MwIs the historical data mean value of wind speed, sigmawIs the historical data standard deviation of wind speed, ScFor real-time rotational speed of the fan, MsHistorical data mean, sigma, of fan speedsIs the historical data standard deviation, V, of the fan rotation speediFor real-time vibration of the fan, i ═ 1,2, … 10, MViIs the average value, sigma, of historical data of the vibration of each shaft of the fanViThe standard deviation is the historical data of the vibration of each bearing of the fan, N is 10, PcFor real-time power of the fan, MpIs the historical data mean value of fan power, sigmapIn the historical data standard deviation of the fan power, M1, M2, M3, M4, M5 and M6 are influence factors, Tc is temperature and Hc is humidity.
For formula 1), M1+ M2+ M3+ M4 ═ 10; for formula 2) M1+ M2+ M3+ M4+ M5+ M6 ═ 10. Specifically, the influences can be adjusted as long as the respective relationships satisfy the above relationships.
Wherein M isViThe general fan comprises a low-speed shaft, a gear box and a high-speed shaft, and 10 vibration points are provided, so that the value range of i is determined to be 1-10.
The threshold value judgment includes: historical data mean and historical data standard deviation.
And 203, determining an evaluation parameter corresponding to the operation parameter according to the operation parameter and a judgment threshold corresponding to the operation parameter based on the evaluation model, wherein the judgment threshold is determined according to historical data of the operation parameter.
And 204, outputting a state evaluation result corresponding to the evaluation parameter according to the corresponding relation between the evaluation parameter and the state evaluation result.
It should be noted that the correspondence between the evaluation parameter and the state evaluation result specifically includes:
when the evaluation parameter is less than 3 points, the corresponding state evaluation result is poor;
when the evaluation parameter is divided into (3,5], the corresponding state evaluation result is a difference;
when the evaluation parameters are divided into (5,7], the corresponding state evaluation result is general;
when the evaluation parameters are divided into (7,9), the corresponding state evaluation result is good;
when the evaluation parameter is 9 points or more, the corresponding state evaluation result is excellent.
And 205, comparing the operation parameters with the judgment threshold values corresponding to the operation parameters to obtain early warning results corresponding to the operation parameters.
When in use
And then, obtaining an early warning result of the wind speed early warning information of the fan, wherein the early warning coefficient is 1.1 and can be dynamically adjusted.
When in use
And then, obtaining an early warning result of the fan rotating speed early warning information, wherein the early warning coefficient is 1.1, and the early warning result can be dynamically adjusted.
When in use
And obtaining an early warning result of the fan vibration early warning information, wherein the early warning coefficient is 1.2, and the early warning result can be dynamically adjusted.
When in use
And then, obtaining an early warning result of the early warning information of the fan power, wherein the early warning coefficient is 1.2, and the early warning result can be dynamically adjusted.
And step 206, outputting an early warning result.
In this embodiment, first, an operating parameter of the fan during operation and an environmental parameter of the environment in which the fan is located are obtained in real time, then, an evaluation model corresponding to the environmental parameter is determined according to a corresponding relationship between the environmental parameter and the evaluation model, then, based on the evaluation model, an evaluation parameter corresponding to the operating parameter is determined according to a judgment threshold corresponding to the operating parameter and the operating parameter, where the judgment threshold is determined according to historical data of the operating parameter, and finally, a state evaluation result corresponding to the evaluation parameter is output according to a corresponding relationship between the evaluation parameter and the state evaluation result. In this application, different from the prior art, the evaluation of the running state is only performed according to the running parameters, in this embodiment, the running parameters corresponding to a certain running state are evaluated according to the environmental parameters in the environment where the fan is located and the judgment threshold determined by the historical data, that is, the state evaluation result of the fan in the running state is judged, and the environmental parameters and the judgment threshold are dynamically determined respectively, so that the dynamic evaluation of the running state of the fan is realized, thereby performing accurate evaluation on the running state of the fan, and solving the technical problem of inaccurate evaluation when the existing evaluation is performed on the running state of the fan.
The above is a second embodiment of the method for evaluating the operating state of the fan according to the embodiment of the present application, and the following is an embodiment of the apparatus for evaluating the operating state of the fan according to the embodiment of the present application, please refer to fig. 3.
The running state evaluation device of fan that provides in the embodiment of this application includes:
the acquiring unit 301 is configured to acquire an operating parameter of the fan during operation and an environmental parameter of an environment where the fan is located in real time;
a model determining unit 302, configured to determine an evaluation model corresponding to the environmental parameter according to a corresponding relationship between the environmental parameter and the evaluation model;
an evaluation parameter determining unit 303, configured to determine, based on the evaluation model, an evaluation parameter corresponding to the operation parameter according to the operation parameter and a judgment threshold corresponding to the operation parameter, where the judgment threshold is determined according to historical data of the operation parameter;
the first output unit 304 is configured to output a state evaluation result corresponding to the evaluation parameter according to a corresponding relationship between the evaluation parameter and the state evaluation result.
Optionally, the method further comprises:
a comparison unit 305, configured to compare the operation parameter with a judgment threshold corresponding to the operation parameter, and obtain an early warning result corresponding to the operation parameter;
and a second output unit 306, configured to output the early warning result.
In this embodiment, first, an operating parameter of the fan during operation and an environmental parameter of the environment in which the fan is located are obtained in real time, then, an evaluation model corresponding to the environmental parameter is determined according to a corresponding relationship between the environmental parameter and the evaluation model, then, based on the evaluation model, an evaluation parameter corresponding to the operating parameter is determined according to a judgment threshold corresponding to the operating parameter and the operating parameter, where the judgment threshold is determined according to historical data of the operating parameter, and finally, a state evaluation result corresponding to the evaluation parameter is output according to a corresponding relationship between the evaluation parameter and the state evaluation result. In this application, different from the prior art, the evaluation of the running state is only performed according to the running parameters, in this embodiment, the running parameters corresponding to a certain running state are evaluated according to the environmental parameters in the environment where the fan is located and the judgment threshold determined by the historical data, that is, the state evaluation result of the fan in the running state is judged, and the environmental parameters and the judgment threshold are dynamically determined respectively, so that the dynamic evaluation of the running state of the fan is realized, thereby performing accurate evaluation on the running state of the fan, and solving the technical problem of inaccurate evaluation when the existing evaluation is performed on the running state of the fan.
The embodiment of the application also provides running state evaluation equipment of the fan, which comprises a processor and a memory; the memory is used for storing the program codes and transmitting the program codes to the processor; the processor is configured to execute the method for estimating the operating state of the wind turbine according to the first embodiment or the second embodiment according to the instructions in the program code.
A fourth aspect of the present application provides a storage medium for storing a program code for executing the operating state evaluation method of the blower of the first embodiment or the second embodiment.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (9)
1. A method for evaluating the running state of a fan is characterized by comprising the following steps:
acquiring running parameters of a fan in running and environmental parameters of the fan in the environment in real time;
determining an evaluation model corresponding to the environmental parameters according to the corresponding relation between the environmental parameters and the evaluation model;
determining an evaluation parameter corresponding to the operation parameter according to the operation parameter and a judgment threshold corresponding to the operation parameter based on the evaluation model, wherein the judgment threshold is determined according to historical data of the operation parameter;
outputting a state evaluation result corresponding to the evaluation parameter according to the corresponding relation between the evaluation parameter and the state evaluation result;
the corresponding relationship between the environmental parameters and the evaluation model specifically includes:
when the temperature in the environmental parameter is greater than the temperature threshold and the humidity in the environmental parameter is less than the humidity threshold, the corresponding evaluation model is as follows:
when the temperature in the environmental parameter is smaller than the temperature threshold and the humidity in the environmental parameter is larger than the humidity threshold, the corresponding evaluation model is as follows:
in the formula, HrTo evaluate the parameters, WcIs the real-time wind speed of the wind field, MwIs the historical data mean value of wind speed, sigmawIs the historical data standard deviation of wind speed, ScFor real-time rotational speed of the fan, MsHistorical data mean, sigma, of fan speedsIs the historical data standard deviation, V, of the fan rotation speediFor real-time vibration of the fan, i is 1,2, …, 10, MViIs the average value, sigma, of historical data of the vibration of each shaft of the fanViThe standard deviation of historical data of the vibration of each bearing of the fan is N is 10, PcFor real-time power of the fan, MpIs the historical data mean value of fan power, sigmapIn the historical data standard deviation of the fan power, M1, M2, M3, M4, M5 and M6 are influence factors, Tc is temperature and Hc is humidity.
2. The method of claim 1, wherein the operational parameters comprise: real-time rotational speed, real-time vibration, real-time wind speed, and real-time power.
3. The method for evaluating the operating state of the wind turbine according to claim 2, wherein the determining the threshold value includes: historical data mean and historical data standard deviation.
4. The method for evaluating the operating state of the fan according to claim 1, wherein the correspondence between the evaluation parameter and the state evaluation result specifically includes:
when the evaluation parameter is less than 3 points, the corresponding state evaluation result is poor;
when the evaluation parameter is divided into (3,5], the corresponding state evaluation result is a difference;
when the evaluation parameters are divided into (5,7], the corresponding state evaluation result is general;
when the evaluation parameters are divided into (7,9), the corresponding state evaluation result is good;
when the evaluation parameter is 9 points or more, the corresponding state evaluation result is excellent.
5. The method for evaluating the operating condition of a wind turbine according to claim 1, further comprising:
comparing the operation parameters with judgment thresholds corresponding to the operation parameters to obtain early warning results corresponding to the operation parameters;
and outputting the early warning result.
6. An operating condition evaluation device for a fan, comprising:
the acquiring unit is used for acquiring operation parameters of the fan in operation and environment parameters of the fan in the environment in real time;
the model determining unit is used for determining an evaluation model corresponding to the environmental parameters according to the corresponding relation between the environmental parameters and the evaluation model;
the evaluation parameter determining unit is used for determining an evaluation parameter corresponding to the operation parameter according to the operation parameter and a judgment threshold corresponding to the operation parameter based on the evaluation model, wherein the judgment threshold is determined according to historical data of the operation parameter;
the first output unit is used for outputting a state evaluation result corresponding to the evaluation parameter according to the corresponding relation between the evaluation parameter and the state evaluation result;
the corresponding relationship between the environmental parameters and the evaluation model specifically includes:
when the temperature in the environmental parameter is greater than the temperature threshold and the humidity in the environmental parameter is less than the humidity threshold, the corresponding evaluation model is as follows:
when the temperature in the environmental parameter is smaller than the temperature threshold and the humidity in the environmental parameter is larger than the humidity threshold, the corresponding evaluation model is as follows:
in the formula, HrTo evaluate the parameters, WcIs the real-time wind speed of the wind field, MwIs the historical data mean value of wind speed, sigmawIs the historical data standard deviation of wind speed, ScFor real-time rotational speed of the fan, MsHistorical data mean, sigma, of fan speedsIs the historical data standard deviation, V, of the fan rotation speediFor real-time vibration of the fan, i is 1,2, …, 10, MViIs the average value, sigma, of historical data of the vibration of each shaft of the fanViThe standard deviation of historical data of the vibration of each bearing of the fan is N is 10, PcFor real-time power of the fan, MpIs the historical data mean value of fan power, sigmapIn the historical data standard deviation of the fan power, M1, M2, M3, M4, M5 and M6 are influence factors, Tc is temperature and Hc is humidity.
7. The operating condition evaluation device of a wind turbine according to claim 6, further comprising:
the comparison unit is used for comparing the operation parameters with the judgment threshold values corresponding to the operation parameters to obtain early warning results corresponding to the operation parameters;
and the second output unit is used for outputting the early warning result.
8. The running state evaluation equipment of the fan is characterized by comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the method for evaluating the operating condition of the wind turbine according to any one of claims 1 to 5 according to instructions in the program code.
9. A storage medium for storing a program code for executing an operating state evaluation method of a wind turbine according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911380145.8A CN111144009B (en) | 2019-12-27 | 2019-12-27 | Running state evaluation method, device, equipment and storage medium of fan |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911380145.8A CN111144009B (en) | 2019-12-27 | 2019-12-27 | Running state evaluation method, device, equipment and storage medium of fan |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111144009A CN111144009A (en) | 2020-05-12 |
| CN111144009B true CN111144009B (en) | 2021-09-03 |
Family
ID=70521101
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911380145.8A Active CN111144009B (en) | 2019-12-27 | 2019-12-27 | Running state evaluation method, device, equipment and storage medium of fan |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111144009B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113432242B (en) * | 2021-06-29 | 2022-09-23 | 河南中烟工业有限责任公司 | Comprehensive detection method for running state of air conditioner fan |
| CN113891508A (en) * | 2021-09-23 | 2022-01-04 | 深圳汝原科技有限公司 | Control method of drying device, drying device and readable storage medium |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103195727B (en) * | 2013-03-05 | 2016-01-06 | 天津理工大学 | A kind of blower fan on-line condition monitoring apparatus for evaluating |
| CN105205569B (en) * | 2015-10-15 | 2018-11-27 | 华侨大学 | State of fan gear box online evaluation method for establishing model and online evaluation method |
| WO2018207270A1 (en) * | 2017-05-09 | 2018-11-15 | 株式会社ダイチューテクノロジーズ | Evaluation test device for recording media |
| CN107341299B (en) * | 2017-06-22 | 2020-06-09 | 太原理工大学 | Fan reliability modeling method considering operating environment influence |
| CN107341349B (en) * | 2017-06-30 | 2020-04-14 | 上海交通大学 | Method and system for evaluating health of fan, memory and controller |
| CN110442833B (en) * | 2019-06-10 | 2022-09-09 | 内蒙古工业大学 | Wind turbine health state assessment method based on multi-dimensional SCADA data |
-
2019
- 2019-12-27 CN CN201911380145.8A patent/CN111144009B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN111144009A (en) | 2020-05-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111459700B (en) | Equipment fault diagnosis method, diagnosis device, diagnosis equipment and storage medium | |
| CN109973325B (en) | Method and apparatus for identifying abnormal vibration | |
| CN111144009B (en) | Running state evaluation method, device, equipment and storage medium of fan | |
| EP3431952A1 (en) | Condition monitoring system and wind power generation device | |
| CN115033461B (en) | Fan monitoring method, system, device, server and readable storage medium | |
| CN110689141A (en) | Fault diagnosis method and equipment for wind generating set | |
| CN105973583B (en) | A kind of dynamic alarming method | |
| CN117539727B (en) | Computer running state monitoring method and system | |
| CN110991932A (en) | Wind power plant operation state evaluation method, system and related equipment | |
| CN115825736A (en) | Energy consumption comprehensive test method and system for energy-saving equipment | |
| DE102019205833A1 (en) | Machine health monitoring of rotating machinery | |
| CN111103851A (en) | System and method for anomaly characterization based on joint history and time series analysis | |
| CN114088388A (en) | Fault diagnosis method and fault diagnosis device for gearbox | |
| JP6824076B2 (en) | Condition monitoring system and wind power generator | |
| CN113608953B (en) | Test data generation method and device, electronic equipment and readable storage medium | |
| CN114065430B (en) | State data processing method and system for planetary gear box | |
| CN115828439B (en) | Method and device for identifying abnormal loss of wind generating set | |
| CN113654651A (en) | Strong robust signal early degradation feature extraction and equipment running state monitoring method | |
| CN110826904A (en) | Data processing method and device for fan, processing equipment and readable storage medium | |
| CN108399385B (en) | Noise reduction method for vibration monitoring signal of wind generating set | |
| CN114778114B (en) | Bearing health index construction method based on signal impact and periodicity | |
| CN117521528B (en) | Turbine equipment simulation model evolution method, device, medium and computing equipment | |
| CN114705430B (en) | Rolling bearing fault monitoring method, device, equipment and storage medium | |
| CN116893297B (en) | Method and system for monitoring energy consumption of rotating equipment | |
| Amer et al. | Machine tool condition monitoring system using tooth rotation energy estimation (TREE) technique |
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 | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: Room 501-503, annex building, Huaye building, No.1-3 Chuimao new street, Xihua Road, Yuexiu District, Guangzhou City, Guangdong Province 510000 Applicant after: China Southern Power Grid Power Technology Co.,Ltd. Address before: Room 501-503, annex building, Huaye building, No.1-3 Chuimao new street, Xihua Road, Yuexiu District, Guangzhou City, Guangdong Province 510000 Applicant before: GUANGDONG ELECTRIC POWER SCIENCE RESEARCH INSTITUTE ENERGY TECHNOLOGY Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |