CN116184192A - Natural gas generator set running state evaluation method and system - Google Patents
Natural gas generator set running state evaluation method and system Download PDFInfo
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Abstract
The invention provides a method and a system for evaluating the running state of a natural gas generator set, which relate to the technical field of generator sets, and the method comprises the following steps: the method comprises the steps of building a natural gas generator set operation monitoring platform, acquiring set energy consumption, set power generation and set vibration data flow through a sensing transmission layer, transmitting the set energy consumption, the set power generation and set vibration data flow to an information processing layer, inputting the set energy consumption, the set vibration data flow into a specific generator set operation state evaluation model for analysis, after obtaining generator set operation state evaluation information, sending a safety early warning instruction when the safety early warning instruction does not reach a set safety operation coefficient threshold value, and carrying out state early warning management on a natural gas generator set by an operation early warning layer based on the safety early warning instruction, so that the technical problem of inaccurate operation state evaluation of the natural gas generator set in the prior art is solved, accurate management and control of the operation state of the natural gas generator set is realized, and the accuracy of the operation state evaluation of the natural gas generator set is improved.
Description
Technical Field
The invention relates to the technical field of generator sets, in particular to a method and a system for evaluating the running state of a natural gas generator set.
Background
In recent years, people attach more and more importance to environmental protection, and a plurality of policies are issued in the country to strengthen the treatment of environmental pollution, and corresponding measures are taken for the coal-fired power generation serving as a support in the power generation industry, so that a small unit is shut down, a new coal-fired power plant is newly built in a corresponding area for limiting batches, and the natural gas power generation is an opportunity for development as a low-pollution and high-efficiency power generation mode.
The natural gas power generation means that natural gas is utilized to generate power, the natural gas is combusted to convert water into steam, then the steam is utilized to drive a generator to operate to generate power, the efficiency is lower, the natural gas combined cycle power generation is that high-temperature flue gas generated when the natural gas is combusted is utilized to drive a gas turbine to perform primary power generation, then the high-temperature flue gas exhausted by the gas turbine is utilized to heat water, steam is generated to drive the steam turbine to perform secondary power generation, and the thermal efficiency of the combusted natural gas is high, and the discharged pollutants are less than other fuels, so the natural gas is considered as the cleanest power generation fuel. The technology of natural gas combined cycle power generation is quite mature at present.
However, the control of the operation state of the natural gas generator set in the prior art is insufficient, so that the operation state of the natural gas generator set is finally evaluated inaccurately
Disclosure of Invention
The application provides a method and a system for evaluating the running state of a natural gas generator set, which are used for solving the technical problems that the running state of the natural gas generator set is not accurately evaluated finally due to insufficient control of the running state of the natural gas generator set in the prior art.
In view of the above problems, the present application provides a method and a system for evaluating an operating state of a natural gas generator set.
In a first aspect, the present application provides a method for evaluating an operating state of a natural gas power generating unit, the method comprising: building a natural gas generator set operation monitoring platform, wherein the natural gas generator set operation monitoring platform comprises a perception transmission layer, an information processing layer and an operation early warning layer; acquiring a unit energy consumption data stream, a unit power generation data stream and a unit vibration data stream through the sensing transmission layer; transmitting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream to the information processing layer through the perception transmission layer; acquiring a specific generator set running state evaluation model based on the information processing layer; inputting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream into the specific generator unit running state evaluation model for analysis to obtain generator unit running state evaluation information;
setting a safe operation coefficient threshold, and sending a safety early warning instruction when the operation state evaluation information of the generator set does not reach the safe operation coefficient threshold; and the operation early warning layer carries out state early warning management on the natural gas generator set based on the safety early warning instruction.
In a second aspect, the present application provides a natural gas generator set operating condition assessment system, the system comprising: the system comprises a platform building module, a control module and a control module, wherein the platform building module is used for building a natural gas generator set operation monitoring platform, and the natural gas generator set operation monitoring platform comprises a perception transmission layer, an information processing layer and an operation early warning layer; the acquisition module is used for acquiring a unit energy consumption data stream, a unit power generation data stream and a unit vibration data stream through the sensing transmission layer; the transmission module is used for transmitting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream to the information processing layer through the sensing transmission layer; the model acquisition module is used for acquiring a specific generator set running state evaluation model based on the information processing layer; the analysis module is used for inputting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream into the specific generator unit running state evaluation model for analysis to obtain generator unit running state evaluation information; the threshold setting module is used for setting a safe operation coefficient threshold, and sending out a safety early warning instruction when the operation state evaluation information of the generator set does not reach the safe operation coefficient threshold; and the management module is used for carrying out state early warning management on the natural gas generator set based on the safety early warning instruction by the operation early warning layer.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the application provides a natural gas generating set running state evaluation method, relates to the technical field of generating sets, and solves the technical problems that in the prior art, the running state of a natural gas generating set is not controlled enough, so that the running state of the natural gas generating set is evaluated inaccurately finally, the running state of the natural gas generating set is accurately controlled, and the running state evaluation accuracy of the natural gas generating set is improved.
Drawings
Fig. 1 is a schematic flow chart of a method for evaluating the operation state of a natural gas generator set;
fig. 2 is a schematic structural diagram of an operation state evaluation system of a natural gas generator set.
Reference numerals illustrate: the system comprises a platform building module 1, an acquisition module 2, a transmission module 3, a model acquisition module 4, an analysis module 5, a threshold setting module 6 and a management module 7.
Detailed Description
The method for evaluating the running state of the natural gas generator set is used for solving the technical problem that in the prior art, the running state of the natural gas generator set is not controlled sufficiently, so that the running state of the natural gas generator set is evaluated inaccurately finally.
Example 1
As shown in fig. 1, an embodiment of the present application provides a method for evaluating an operating state of a natural gas generator set, where the method includes:
step S100: building a natural gas generator set operation monitoring platform, wherein the natural gas generator set operation monitoring platform comprises a perception transmission layer, an information processing layer and an operation early warning layer;
specifically, an operation monitoring platform of the natural gas generator set is built, wherein the built operation monitoring platform of the natural gas generator set senses the operation state of the natural gas generator set, processes information of the natural gas generator set and processes operation of the natural gas generator set, and therefore the operation monitoring platform of the natural gas generator set comprises a sensing transmission layer, an information processing layer and an operation early warning layer, and state early warning management of the natural gas generator set is achieved for later period as an important reference basis.
Step S200: acquiring a unit energy consumption data stream, a unit power generation data stream and a unit vibration data stream through the sensing transmission layer;
specifically, based on the sensing transmission layer in the operation monitoring platform of the obtained natural gas generator set, the operation state of the natural gas generator set is transmitted and sensed through the sensing transmission layer, so that the set energy consumption data flow of the natural gas generator set, the set power generation data flow of the natural gas generator set and the set vibration data flow of the natural gas generator set are obtained, the obtained set energy consumption data flow of the natural gas generator set is used for carrying out data statistics on energy consumed by the set of the natural gas generator set, the obtained set power generation data flow of the natural gas generator set is used for carrying out statistics on data when the natural gas generator set is used for generating, the obtained set vibration data flow of the natural gas generator set is used for carrying out statistics on vibration data caused by instability of the natural gas generator set, and further, the state early warning management of the natural gas generator set is guaranteed.
Step S300: transmitting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream to the information processing layer through the perception transmission layer;
specifically, on the basis of the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream collected by the sensing transmission layer, the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream are transmitted to an information processing layer in the built natural gas generator unit operation monitoring platform from the sensing transmission layer in the built natural gas generator unit operation monitoring platform, and the obtained information processing layer respectively processes the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream, so that a state early warning management tamping basis is implemented on the natural gas generator unit for the follow-up implementation.
Step S400: acquiring a specific generator set running state evaluation model based on the information processing layer;
specifically, a specific generator set operation state evaluation model is generated by taking a generator set energy consumption data stream, a generator set power generation data stream and a generator set vibration data stream which are transmitted to an information processing layer as references, wherein a specific generator set operation state evaluation model is generated, historical generator set operation data information is firstly obtained, a generator set operation state evaluation model library is constructed according to the obtained historical generator set operation data information, generator set attribute information is further obtained, the specific generator set operation state evaluation model is obtained by calling from the generator set operation state evaluation model library, and the state early warning management of the natural gas generator set is promoted.
Step S500: inputting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream into the specific generator unit running state evaluation model for analysis to obtain generator unit running state evaluation information;
the method comprises the steps of firstly inputting the obtained unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream into the generated specific unit running state evaluation model together for analysis, wherein the analysis of the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream refers to the normalization processing of the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream serving as unit information data streams in an information processing layer, obtaining scalar unit information data streams, performing traversal data cleaning on the unit information data streams to obtain normalized unit information data streams, performing format standardization on the normalized unit information data streams, obtaining standard unit information data streams, inputting the standard unit information data streams into the unit running state evaluation model for analysis, and meanwhile, the specific unit running state evaluation model comprises an information input layer, an running state evaluation layer and an information output layer, further inputting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream into the running state evaluation layer through the information input layer, obtaining unit running state evaluation information, outputting the obtained unit running state information based on the information output layer, and performing early warning on the obtained unit running state information, and performing deep-warning on the natural gas unit running state management model.
Step S600: setting a safe operation coefficient threshold, and sending a safety early warning instruction when the operation state evaluation information of the generator set does not reach the safe operation coefficient threshold;
specifically, when the natural gas generator set is operated, a corresponding safe operation coefficient threshold value is set, the set safe operation coefficient threshold value is preset by related technicians according to safety data of the natural gas generator set during operation, generator set operation state evaluation information obtained by inputting a generator set energy consumption data stream, a generator set power generation data stream and a generator set vibration data stream into a specific generator set operation state evaluation model for analysis is judged, and if the generator set operation state evaluation information output by the specific generator set operation state evaluation model does not reach the set safe operation coefficient threshold value, a corresponding safe early warning instruction is generated by a system, the generated safe early warning instruction is issued, and state early warning management is performed on the natural gas generator set better according to the issued safe early warning instruction.
Step S700: and the operation early warning layer carries out state early warning management on the natural gas generator set based on the safety early warning instruction.
Specifically, on the basis of an operation early warning layer in a built natural gas generator set operation monitoring platform, according to a safety early warning instruction sent when the operation state evaluation information of the natural gas generator set does not reach a set safety operation coefficient threshold value, state early warning management is conducted on the natural gas generator set, wherein an operation fault solution is correspondingly generated firstly based on the operation state evaluation information of the natural gas generator set, then a difference value between the operation state evaluation information of the natural gas generator set and the set safety operation coefficient threshold value is used as operation fault grade information, then the difference value is used for generating a safety early warning grade with the set safety early warning instruction, and finally early warning solving processing is conducted on the natural gas generator set on the basis of the obtained operation fault solution and the set safety early warning grade on the operation early warning layer, so that the accuracy of operation state evaluation of the natural gas generator set is improved.
Further, step S500 of the present application further includes:
step S510: the information processing layer performs normalization processing on the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream serving as unit information data streams to obtain scalar unit information data streams;
step S520: performing traversal data cleaning on the unit information data stream to obtain a normalized unit information data stream;
step S530: carrying out format standardization on the standardized unit information data stream to obtain a standard unit information data stream;
step S540: and inputting the standard unit information data stream into the generator unit running state evaluation model for analysis and processing.
The method comprises the steps of inputting the obtained unit energy consumption data stream, the obtained unit power generation data stream and the obtained unit vibration data stream into a specific unit running state evaluation model for analysis, wherein an information processing layer in the specific unit running state evaluation model normalizes the obtained unit energy consumption data stream, the obtained unit power generation data stream and the obtained unit vibration data stream together as unit information data streams, the normalization is a simplified calculation mode, namely, a dimensionless expression is converted into a dimensionless expression to form a scalar, so that scalar unit information data streams are obtained, traversing the obtained scalar unit information data streams one by one, namely, rechecking and checking the data at the same time, and providing data consistency, further, normalizing the obtained normalized unit information data streams, namely, firstly setting a normalized form, converting the obtained unit information data streams into a dimensionless form, carrying out a corresponding standard analysis, and then integrating the obtained unit information data streams into a standard form, and obtaining the corresponding standard state of the unit running state of the generator unit, and carrying out a standard analysis, and finally obtaining the state information of the unit running state of the generator set.
Further, step S400 of the present application further includes:
step S410: acquiring historical generator set operation data information;
step S420: constructing a generator set operation state evaluation model library according to the historical generator set operation data information;
step S430: obtaining generator set attribute information;
step S440: and calling and obtaining the specific generator set operation state evaluation model from a generator set operation state evaluation model library based on the generator set attribute information.
Specifically, operation data information of a historical generator set in a natural gas generator set is collected, the obtained operation data information of the historical generator set is used as a basis, a data mask is correspondingly added to the obtained operation data information of the historical generator set, the operation data information of the historical generator set with the data mask added is input into a neural network model according to different set attributes to train, so that a set of generator set operation state evaluation models is correspondingly obtained, a model base of the generator set operation state evaluation models is constructed on the basis of the obtained set operation state evaluation model set, further, attribute information of the natural gas generator set is collected, wherein the attribute information of the natural gas generator set can be basic information such as the type of the natural gas generator set or the model of the natural gas generator set, and meanwhile, based on the obtained attribute information of the natural gas generator set, a specific generator set operation state evaluation model is extracted and called from the constructed model base of the generator set operation state evaluation models, so that accuracy in state early warning management of the natural gas generator set is guaranteed.
Further, step S420 of the present application includes:
step S421: adding a data mask to the historical generator set operation data information;
step S422: inputting the historical generator set operation data information added with the data mask into a neural network model according to different set attributes for training to obtain a generator set operation state evaluation model set;
step S423: and constructing the generator set running state evaluation model library based on the generator set running state evaluation model set.
Specifically, based on the obtained natural gas historical generator set operation data information, adding a data mask to the natural gas historical generator set operation data information, wherein the data mask is to convert real natural gas historical generator set operation data into completely forged data which cannot be used by other people, but the natural gas historical generator set operation data after adding the data mask can still be used for application program testing, and further, the obtained natural gas historical generator set operation data information after adding the data mask is classified and input into a neural network model for training according to different natural gas generator set attributes, namely the type of a natural gas generator set or the type of the natural gas generator set and other basic information.
The neural network model is obtained through training a training data set and a supervision data set, wherein each group of training data in the training data set comprises natural gas historical generator set operation data information which is classified according to attributes and added with data masks; the supervision data sets are supervision data corresponding to the training data sets one by one.
Further, the neural network model construction process is as follows: inputting each group of training data in the training data set into the neural network model, performing output supervision adjustment of the neural network model through the supervision data corresponding to the group of training data, and finishing the training of the neural network model when the output result of the neural network model is consistent with the supervision data and finishing the training of all the training data in the training data set.
And inputting the natural gas historical generator set operation data information which is classified according to the attributes and added with the data mask into a neural network model, outputting a generator set operation state evaluation model set, and classifying and integrating the output generator set operation state evaluation model set, so that the construction of a model library of the generator set operation state evaluation model is completed, and the technical effect of carrying out state early warning management on the natural gas generator set is achieved.
Further, step S500 of the present application further includes:
step S550: the specific generator set running state evaluation model comprises an information input layer, a running state evaluation layer and an information output layer;
step S560: inputting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream into the running state evaluation layer through the information input layer to obtain running state evaluation information of the generator set;
step S570: and outputting the operation state evaluation information of the generator set in a model based on the information output layer.
Specifically, based on a specific generator set operation state evaluation model obtained through an information processing layer in a built natural gas generator set operation monitoring platform, the specific generator set operation state evaluation model comprises an information input layer, an operation state evaluation layer, an information output layer, further, the set energy consumption data stream, the set power generation data stream and the set vibration data stream collected by a perception transmission layer in the built natural gas generator set operation monitoring platform are transmitted to the operation state evaluation layer in the specific generator set operation state evaluation model from the information input layer in the specific generator set operation state evaluation model, the operation state of the current natural gas generator set is evaluated, the operation state of the natural gas generator set can be a grid-connected operation state, an island-connected operation state, an operation state which is not connected with the grid and is automatically switched with the island, and the like, so that the generator set operation state evaluation information is correspondingly obtained, and the obtained generator set operation state evaluation information is used as information of the information output layer in the specific generator set operation state evaluation model to carry out corresponding output of the model, and finally the technical effect of carrying out early warning on the natural gas generator set is achieved.
Further, step S700 of the present application further includes:
step S710: acquiring an operation fault solution based on the generator set operation state evaluation information;
step S720: taking the difference value between the operation state evaluation information of the generator set and the safe operation coefficient threshold value as operation fault grade information;
step S730: obtaining a safety early warning grade according to the operation fault grade information and the safety early warning instruction;
step S740: and the operation early warning layer performs early warning solution processing on the natural gas generator set based on the operation fault solution and the safety early warning grade.
Specifically, based on the operation state evaluation information of the generator set, the operation fault type information of the natural gas generator set is obtained, meanwhile, a natural gas generator set operation and maintenance knowledge base is built, the obtained operation state evaluation information of the generator set is differed from a preset safety operation coefficient threshold value, the difference value is output as operation fault grade information, the operation fault grade information is further matched with the built natural gas generator set operation and maintenance knowledge base based on the obtained operation fault type information and the operation fault grade information, so that an operation fault solution is obtained, the obtained operation fault grade information is integrated with a safety early warning instruction, so that a corresponding safety early warning grade is obtained, the obtained operation fault solution and the safety early warning grade are used as the basis, the natural gas generator set is subjected to early warning solution processing through an operation early warning layer in an operation monitoring platform of the built natural gas generator set, and then the state early warning management of the natural gas generator set is realized.
Further, step S711 of the present application further includes:
step S711: acquiring operation fault type information according to the operation state evaluation information of the generator set;
step S712: constructing an operation and maintenance knowledge base of the natural gas generator set;
step S713: and matching the operation fault type information and the operation fault grade information with the natural gas generator set operation and maintenance knowledge base to obtain the operation fault solution.
Specifically, the operation state of the current natural gas generator set is evaluated, the operation fault type of the natural gas generator set is judged and determined according to the obtained evaluation information of the operation state of the natural gas generator set, so that the operation fault type information of the current natural gas generator set is correspondingly obtained, the operation fault type information of the natural gas generator set can be operation faults with high cooling water temperature, operation faults controlled by a motor, operation faults failed in starting, operation faults with knocking, operation faults with low oil pressure and the like, the operation and maintenance knowledge of the natural gas generator set in big data is further collected, summarized and integrated, the construction of an operation and maintenance knowledge base of the natural gas generator set is completed, the operation fault type information of the obtained natural gas generator set and the corresponding operation fault grade information are used as the basis, corresponding matching is carried out in the constructed operation and maintenance knowledge base of the natural gas generator set, finally, the operation fault solution is obtained, and the state early warning management of the natural gas generator set is better realized.
Example two
Based on the same inventive concept as the method for evaluating the operation state of a natural gas generator set in the foregoing embodiment, as shown in fig. 2, the present application provides a system for evaluating the operation state of a natural gas generator set, where the system includes:
the system comprises a platform building module 1, wherein the platform building module 1 is used for building a natural gas generator set operation monitoring platform, and the natural gas generator set operation monitoring platform comprises a perception transmission layer, an information processing layer and an operation early warning layer;
the acquisition module 2 is used for acquiring a unit energy consumption data stream, a unit power generation data stream and a unit vibration data stream through the sensing transmission layer;
the transmission module 3 is used for transmitting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream to the information processing layer through the sensing transmission layer;
the model acquisition module 4 is used for acquiring a specific generator set running state evaluation model based on the information processing layer;
the analysis module 5 is used for inputting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream into the specific generator unit running state evaluation model for analysis to obtain generator unit running state evaluation information;
the threshold setting module 6 is used for setting a safe operation coefficient threshold, and sending a safety early warning instruction when the operation state evaluation information of the generator set does not reach the safe operation coefficient threshold;
and the management module 7 is used for carrying out state early warning management on the natural gas generator set by the operation early warning layer based on the safety early warning instruction.
Further, the system further comprises:
the normalization module is used for performing normalization processing on the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream serving as unit information data streams by the information processing layer to obtain scalar unit information data streams;
the data cleaning module is used for performing traversal data cleaning on the unit information data stream to obtain a normalized unit information data stream;
the format normalization module is used for performing format normalization on the normalized unit information data stream to obtain a standard unit information data stream;
the first input module is used for inputting the standard unit information data stream into the generator unit running state evaluation model for analysis and processing.
Further, the system further comprises:
the operation data information acquisition module is used for acquiring historical generator set operation data information;
the model library construction module is used for constructing a model library for evaluating the running state of the generator set according to the historical generator set running data information;
the attribute information acquisition module is used for acquiring the attribute information of the generator set;
and the calling module is used for calling and obtaining the specific generator set running state evaluation model from a generator set running state evaluation model library based on the generator set attribute information.
Further, the system further comprises:
the adding module is used for adding a data mask to the historical generator set operation data information;
the training module is used for inputting the historical generator set operation data information added with the data mask into a neural network model according to different set attributes for training, and obtaining a generator set operation state evaluation model set;
and the model library module is used for constructing the generator set running state evaluation model library based on the generator set running state evaluation model set.
Further, the system further comprises:
the hierarchy module is used for the operation state evaluation model of the specific generator set and comprises an information input layer, an operation state evaluation layer and an information output layer;
the second input module is used for inputting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream into the running state evaluation layer through the information input layer to obtain running state evaluation information of the generator set;
and the output module is used for outputting the operation state evaluation information of the generator set based on the information output layer.
Further, the system further comprises:
the scheme obtaining module is used for obtaining an operation fault solution based on the operation state evaluation information of the generator set;
the operation fault grade module is used for taking the difference value between the operation state evaluation information of the generator set and the safe operation coefficient threshold value as operation fault grade information;
the safety early warning level module is used for obtaining the safety early warning level according to the operation fault level information and the safety early warning instruction;
and the early warning solution processing module is used for performing early warning solution processing on the natural gas generator set based on the operation fault solution and the safety early warning grade.
Further, the system further comprises:
the operation fault type module is used for acquiring operation fault type information according to the operation state evaluation information of the generator set;
the knowledge base construction module is used for constructing an operation and maintenance knowledge base of the natural gas generator set;
the fault solution obtaining module is used for matching with the natural gas generator set operation and maintenance knowledge base based on the operation fault type information and the operation fault grade information to obtain the operation fault solution.
Through the foregoing detailed description of a method for evaluating the operation state of a natural gas generator set, those skilled in the art can clearly understand that the method and the system for evaluating the operation state of a natural gas generator set in this embodiment, for the device disclosed in the embodiment, since the device corresponds to the method disclosed in the embodiment, the description is relatively simple, and relevant places refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A method for evaluating the operating state of a natural gas generator set, the method comprising:
building a natural gas generator set operation monitoring platform, wherein the natural gas generator set operation monitoring platform comprises a perception transmission layer, an information processing layer and an operation early warning layer;
acquiring a unit energy consumption data stream, a unit power generation data stream and a unit vibration data stream through the sensing transmission layer;
transmitting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream to the information processing layer through the perception transmission layer;
acquiring a specific generator set running state evaluation model based on the information processing layer;
inputting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream into the specific generator unit running state evaluation model for analysis to obtain generator unit running state evaluation information;
setting a safe operation coefficient threshold, and sending a safety early warning instruction when the operation state evaluation information of the generator set does not reach the safe operation coefficient threshold;
and the operation early warning layer carries out state early warning management on the natural gas generator set based on the safety early warning instruction.
2. The method of claim 1, wherein the method comprises:
the information processing layer performs normalization processing on the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream serving as unit information data streams to obtain scalar unit information data streams;
performing traversal data cleaning on the unit information data stream to obtain a normalized unit information data stream;
carrying out format standardization on the standardized unit information data stream to obtain a standard unit information data stream;
and inputting the standard unit information data stream into the generator unit running state evaluation model for analysis and processing.
3. The method of claim 1, wherein the obtaining a particular genset operating state assessment model comprises:
acquiring historical generator set operation data information;
constructing a generator set operation state evaluation model library according to the historical generator set operation data information;
obtaining generator set attribute information;
and calling and obtaining the specific generator set operation state evaluation model from a generator set operation state evaluation model library based on the generator set attribute information.
4. The method of claim 3, wherein said building a model library of generator set operating state assessment models comprises:
adding a data mask to the historical generator set operation data information;
inputting the historical generator set operation data information added with the data mask into a neural network model according to different set attributes for training to obtain a generator set operation state evaluation model set;
and constructing the generator set running state evaluation model library based on the generator set running state evaluation model set.
5. The method of claim 1, wherein the obtaining genset operating state assessment information comprises:
the specific generator set running state evaluation model comprises an information input layer, a running state evaluation layer and an information output layer;
inputting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream into the running state evaluation layer through the information input layer to obtain running state evaluation information of the generator set;
and outputting the operation state evaluation information of the generator set in a model based on the information output layer.
6. The method of claim 1, wherein the performing status pre-warning management on the natural gas power generator set comprises:
acquiring an operation fault solution based on the generator set operation state evaluation information;
taking the difference value between the operation state evaluation information of the generator set and the safe operation coefficient threshold value as operation fault grade information;
obtaining a safety early warning grade according to the operation fault grade information and the safety early warning instruction;
and the operation early warning layer performs early warning solution processing on the natural gas generator set based on the operation fault solution and the safety early warning grade.
7. The method of claim 6, wherein the obtaining an operational failure solution comprises:
acquiring operation fault type information according to the operation state evaluation information of the generator set;
constructing an operation and maintenance knowledge base of the natural gas generator set;
and matching the operation fault type information and the operation fault grade information with the natural gas generator set operation and maintenance knowledge base to obtain the operation fault solution.
8. A natural gas generator set operating condition assessment system, the system comprising:
the system comprises a platform building module, a control module and a control module, wherein the platform building module is used for building a natural gas generator set operation monitoring platform, and the natural gas generator set operation monitoring platform comprises a perception transmission layer, an information processing layer and an operation early warning layer;
the acquisition module is used for acquiring a unit energy consumption data stream, a unit power generation data stream and a unit vibration data stream through the sensing transmission layer;
the transmission module is used for transmitting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream to the information processing layer through the sensing transmission layer;
the model acquisition module is used for acquiring a specific generator set running state evaluation model based on the information processing layer;
the analysis module is used for inputting the unit energy consumption data stream, the unit power generation data stream and the unit vibration data stream into the specific generator unit running state evaluation model for analysis to obtain generator unit running state evaluation information;
the threshold setting module is used for setting a safe operation coefficient threshold, and sending out a safety early warning instruction when the operation state evaluation information of the generator set does not reach the safe operation coefficient threshold;
and the management module is used for carrying out state early warning management on the natural gas generator set based on the safety early warning instruction by the operation early warning layer.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116863667A (en) * | 2023-08-23 | 2023-10-10 | 湖北清江水电开发有限责任公司 | User-defined alarm method for centralized control center monitoring system of river basin step power plant |
| CN116881658A (en) * | 2023-07-12 | 2023-10-13 | 南方电网调峰调频发电有限公司检修试验分公司 | Intelligent state evaluation method and system for hydroelectric generating set |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116881658A (en) * | 2023-07-12 | 2023-10-13 | 南方电网调峰调频发电有限公司检修试验分公司 | Intelligent state evaluation method and system for hydroelectric generating set |
| CN116881658B (en) * | 2023-07-12 | 2024-01-26 | 南方电网调峰调频发电有限公司检修试验分公司 | Intelligent state evaluation method and system for hydroelectric generating set |
| CN116863667A (en) * | 2023-08-23 | 2023-10-10 | 湖北清江水电开发有限责任公司 | User-defined alarm method for centralized control center monitoring system of river basin step power plant |
| CN116863667B (en) * | 2023-08-23 | 2024-06-04 | 湖北清江水电开发有限责任公司 | User-defined alarm method for centralized control center monitoring system of river basin step power plant |
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