CN116503802A - Monitoring method and system for wind power generation - Google Patents

Monitoring method and system for wind power generation Download PDF

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CN116503802A
CN116503802A CN202310444534.2A CN202310444534A CN116503802A CN 116503802 A CN116503802 A CN 116503802A CN 202310444534 A CN202310444534 A CN 202310444534A CN 116503802 A CN116503802 A CN 116503802A
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monitoring
wind power
data
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王菲
常琪光
杨开宁
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Beijing Xiachu Technology Group Co ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03DWIND MOTORS
    • F03D17/00Monitoring or testing of wind motors, e.g. diagnostics
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761Proximity, similarity or dissimilarity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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    • G06V20/41Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/46Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects

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Abstract

The invention discloses a monitoring method and a system for wind power generation, and relates to the technical field of wind power generation. The method comprises the following steps: constructing a monitoring architecture; collecting and importing target geographic condition information and target environment information into a preset analysis model to generate a geographic environment supervision result; collecting operation parameter data and operation video data of each wind power equipment; comparing the operation parameter data with preset parameter reference data to generate a data comparison result; extracting multi-frame images in the operation video data, and respectively calculating the similarity between each image and a preset sample image to obtain and generate an image anomaly comparison result according to a plurality of similarity results; generating a monitoring report according to the geographical environment supervision result, the data comparison result and the image anomaly comparison result; and according to the monitoring report, adopting a monitoring framework to regulate and control the corresponding wind power equipment. The invention can monitor the wind power generation comprehensively and accurately, improve the monitoring efficiency and meet the monitoring requirement.

Description

Monitoring method and system for wind power generation
Technical Field
The invention relates to the technical field of wind power generation, in particular to a monitoring method and a monitoring system for wind power generation.
Background
Wind energy is increasingly gaining attention worldwide as a renewable clean energy source. Wind farms are usually located in remote areas, have poor operating environments and high maintenance difficulty, and a monitoring system with perfect performance is required to ensure stable operation of the wind farms. The existing monitoring system is generally used for monitoring the running state of the wind driven generator, and the monitoring surface is narrow; and the wind power station is generally provided with a plurality of wind power generators, so that the wind power stations need to be monitored simultaneously when in power generation operation, the data size is very large, and in the prior art, all the wind power generators cannot be effectively monitored efficiently and accurately, so that the monitoring requirement cannot be met.
Disclosure of Invention
In order to overcome the problems or at least partially solve the problems, the embodiment of the invention provides a monitoring method and a system for wind power generation, which can comprehensively and accurately monitor the wind power generation, improve the monitoring efficiency and meet the monitoring requirement.
Embodiments of the present invention are implemented as follows:
in a first aspect, an embodiment of the present invention provides a method for monitoring wind power generation, including the following steps:
acquiring and constructing a monitoring architecture according to basic information of a target wind power plant;
collecting and importing target geographic condition information and target environment information into a preset analysis model to generate a geographic environment supervision result;
collecting operation parameter data and operation video data of each wind power equipment in a target wind power plant based on a monitoring framework;
comparing the operation parameter data with preset parameter reference data to generate a data comparison result;
extracting multi-frame images in the operation video data, and respectively calculating the similarity between each image and a preset sample image to obtain and generate an image anomaly comparison result according to a plurality of similarity results;
generating a monitoring report according to the geographical environment supervision result, the data comparison result and the image anomaly comparison result;
and according to the monitoring report, adopting a monitoring framework to regulate and control the corresponding wind power equipment.
In order to solve the problems in the prior art, the method builds a targeted monitoring framework aiming at the actual basic condition of the wind power plant so as to accurately and efficiently monitor the running condition of each wind power equipment; meanwhile, in order to further improve the monitoring effect, comprehensive environmental supervision is performed by combining the real-time geographic condition and the environmental condition through an analysis model, the environmental influence factors are monitored, and the comprehensiveness of supervision is ensured; and acquiring operation parameter data and operation video data of each wind power equipment in the target wind power plant by adopting a monitoring framework, comparing related data, generating a precise and comprehensive monitoring report by combining an environment monitoring result and a plurality of comparison results, and regulating and controlling the corresponding abnormally operated wind power equipment by adopting the monitoring framework according to the related data in the monitoring report, thereby effectively ensuring the operation safety of the equipment. The invention monitors wind power generation comprehensively and accurately, improves monitoring efficiency and meets monitoring requirements.
Based on the first aspect, in some embodiments of the present invention, the method for constructing a monitoring architecture according to the basic information of the target wind farm includes the following steps:
extracting and setting corresponding equipment management nodes according to the equipment information in the basic information of the target wind power plant;
extracting and generating association information according to equipment function class data in the equipment information, associating corresponding equipment management nodes according to the association information, and constructing an association channel to obtain a management architecture;
extracting and constructing monitoring nodes according to carrying condition data and pre-recorded communication bearing capacity data in basic information of a target wind power plant;
and constructing a monitoring architecture according to the monitoring nodes and the management architecture.
Based on the first aspect, in some embodiments of the invention, the monitoring method of wind power generation further comprises the steps of:
and generating and sending alarm prompt information according to the monitoring report.
Based on the first aspect, in some embodiments of the invention, the monitoring method of wind power generation further comprises the steps of:
constructing a target three-dimensional model according to basic information of a target wind power plant;
and filling the target three-dimensional model in real time according to the monitoring report so as to obtain and display a dynamic supervision model.
In a second aspect, an embodiment of the present invention provides a monitoring system for wind power generation, including an architecture building module, an environmental supervision module, a data acquisition module, a parameter comparison module, an image comparison module, a report generation module, and a supervision and scheduling module, where:
the architecture construction module is used for acquiring and constructing a monitoring architecture according to basic information of the target wind power plant;
the environment supervision module is used for collecting and importing the target geographic condition information and the target environment information into a preset analysis model to generate a geographic environment supervision result;
the data acquisition module is used for acquiring operation parameter data and operation video data of each wind power equipment in the target wind power plant based on the monitoring architecture;
the parameter comparison module is used for comparing the operation parameter data with preset parameter reference data to generate a data comparison result;
the image comparison module is used for extracting multi-frame images in the running video data, and calculating the similarity between each image and a preset sample image respectively so as to obtain and generate an image anomaly comparison result according to a plurality of similarity results;
the report generation module is used for generating a monitoring report according to the geographical environment supervision result, the data comparison result and the image anomaly comparison result;
and the supervision and scheduling module is used for regulating and controlling the corresponding wind power equipment by adopting a monitoring framework according to the monitoring report.
In order to solve the problems in the prior art, the system constructs a targeted monitoring architecture aiming at the actual basic condition of the wind power plant through the cooperation of a plurality of modules such as an architecture construction module, an environment supervision module, a data acquisition module, a parameter comparison module, an image comparison module, a report generation module, a supervision scheduling module and the like, so that the running condition of each wind power device can be accurately and efficiently monitored; meanwhile, in order to further improve the monitoring effect, comprehensive environmental supervision is performed by combining the real-time geographic condition and the environmental condition through an analysis model, the environmental influence factors are monitored, and the comprehensiveness of supervision is ensured; and acquiring operation parameter data and operation video data of each wind power equipment in the target wind power plant by adopting a monitoring framework, comparing related data, generating a precise and comprehensive monitoring report by combining an environment monitoring result and a plurality of comparison results, and regulating and controlling the corresponding abnormally operated wind power equipment by adopting the monitoring framework according to the related data in the monitoring report, thereby effectively ensuring the operation safety of the equipment. The invention monitors wind power generation comprehensively and accurately, improves monitoring efficiency and meets monitoring requirements.
Based on the second aspect, in some embodiments of the present invention, the architecture building module includes an equipment node setting unit, an association unit, a monitoring node building unit, and a monitoring architecture building unit, where:
the device node setting unit is used for extracting and setting corresponding device management nodes according to the device information in the basic information of the target wind power plant;
the association unit is used for extracting and generating association information according to the equipment function class data in the equipment information, associating the corresponding equipment management nodes according to the association information, and constructing an association channel to obtain a management architecture;
the monitoring node construction unit is used for extracting and constructing a monitoring node according to the carrying condition data and the pre-recorded communication bearing capacity data in the basic information of the target wind power plant;
and the monitoring architecture construction unit is used for constructing a monitoring architecture according to the monitoring nodes and the management architecture.
Based on the second aspect, in some embodiments of the present invention, the wind power generation monitoring system further includes an alarm module, configured to generate and send alarm prompt information according to the monitoring report.
Based on the second aspect, in some embodiments of the invention, the monitoring system for wind power generation further comprises a model building module and a dynamic display module, wherein:
the model construction module is used for constructing a target three-dimensional model according to the basic information of the target wind power plant;
and the dynamic display module is used for filling the target three-dimensional model in real time according to the monitoring report so as to obtain and display the dynamic supervision model.
In a third aspect, embodiments of the present application provide an electronic device comprising a memory for storing one or more programs; a processor. The method of any of the first aspects described above is implemented when one or more programs are executed by a processor.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as in any of the first aspects described above.
The embodiment of the invention has at least the following advantages or beneficial effects:
the embodiment of the invention provides a monitoring method and a system for wind power generation, which are used for constructing a targeted monitoring framework aiming at the actual basic condition of a wind power plant so as to accurately and efficiently monitor the running condition of each wind power equipment; meanwhile, in order to further improve the monitoring effect, comprehensive environmental supervision is performed by combining the real-time geographic condition and the environmental condition through an analysis model, the environmental influence factors are monitored, and the comprehensiveness of supervision is ensured; and acquiring operation parameter data and operation video data of each wind power equipment in the target wind power plant by adopting a monitoring framework, comparing related data, generating a precise and comprehensive monitoring report by combining an environment monitoring result and a plurality of comparison results, and regulating and controlling the corresponding abnormally operated wind power equipment by adopting the monitoring framework according to the related data in the monitoring report, thereby effectively ensuring the operation safety of the equipment.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for monitoring wind power generation according to an embodiment of the present invention;
FIG. 2 is a flow chart of a monitoring architecture constructed in a monitoring method of wind power generation according to an embodiment of the present invention;
FIG. 3 is a flowchart of a dynamic supervision model constructed in a monitoring method of wind power generation according to an embodiment of the present invention;
FIG. 4 is a schematic block diagram of a monitoring system for wind power generation according to an embodiment of the present invention;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention.
Reference numerals illustrate: 100. a framework construction module; 200. an environmental supervision module; 300. a data acquisition module; 400. parameter comparison module; 500. an image comparison module; 600. a report generation module; 700. a supervision and scheduling module; 101. a memory; 102. a processor; 103. a communication interface.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the description of the embodiments of the present invention, "plurality" means at least 2.
Examples:
as shown in fig. 1, in a first aspect, an embodiment of the present invention provides a method for monitoring wind power generation, including the following steps:
s1, acquiring and constructing a monitoring architecture according to basic information of a target wind power plant;
further, as shown in fig. 2, includes:
s11, extracting and setting corresponding equipment management nodes according to the equipment information in the basic information of the target wind power plant;
s12, extracting and generating association information according to equipment function class data in the equipment information, associating corresponding equipment management nodes according to the association information, and constructing an association channel to obtain a management architecture;
s13, extracting and constructing a monitoring node according to carrying condition data and pre-recorded communication bearing capacity data in basic information of the target wind power plant;
s14, constructing a monitoring architecture according to the monitoring nodes and the management architecture.
In some embodiments of the present invention, in order to improve the monitoring efficiency and the monitoring effect, a targeted monitoring architecture is constructed by combining multiple aspects of data, such as device information, device function class data, carrying condition data, pre-recorded communication bearing capacity data, and the like, each device is managed based on the pertinence of a device management node in the architecture, and classified scheduling association management is performed based on different classes, so that the supervision efficiency is greatly improved.
S2, acquiring and importing target geographic condition information and target environment information into a preset analysis model to generate a geographic environment supervision result; the analysis model is a mathematical model which is constructed by performing data training learning based on a large number of geographic environment data samples and corresponding equipment operation sample data and further can rapidly analyze geographic and environment anomalies.
S3, collecting operation parameter data and operation video data of each wind power equipment in the target wind power plant based on a monitoring framework;
s4, comparing the operation parameter data with preset parameter reference data to generate a data comparison result;
s5, extracting multi-frame images in the operation video data, and respectively calculating the similarity between each image and a preset sample image to obtain and generate an image anomaly comparison result according to a plurality of similarity results;
s6, generating a monitoring report according to the geographical environment monitoring result, the data comparison result and the image anomaly comparison result;
and S7, regulating and controlling the corresponding wind power equipment by adopting a monitoring framework according to the monitoring report.
In order to solve the problems in the prior art, the method builds a targeted monitoring framework aiming at the actual basic condition of the wind power plant so as to accurately and efficiently monitor the running condition of each wind power equipment; meanwhile, in order to further improve the monitoring effect, comprehensive environmental supervision is performed by combining the real-time geographic condition and the environmental condition through an analysis model, the environmental influence factors are monitored, and the comprehensiveness of supervision is ensured; and acquiring operation parameter data and operation video data of each wind power equipment in the target wind power plant by adopting a monitoring framework, comparing related data, generating a precise and comprehensive monitoring report by combining an environment monitoring result and a plurality of comparison results, and regulating and controlling the corresponding abnormally operated wind power equipment by adopting the monitoring framework according to the related data in the monitoring report, thereby effectively ensuring the operation safety of the equipment. The invention monitors wind power generation comprehensively and accurately, improves monitoring efficiency and meets monitoring requirements.
Based on the first aspect, in some embodiments of the invention, the monitoring method of wind power generation further comprises the steps of:
and generating and sending alarm prompt information according to the monitoring report.
When the equipment is abnormal, the relevant data in the monitoring report form are combined to carry out accurate and effective alarm prompt, and the supervision personnel is timely prompted to carry out investigation adjustment.
As shown in fig. 3, based on the first aspect, in some embodiments of the invention, the monitoring method of wind power generation further comprises the steps of:
a1, constructing a target three-dimensional model according to basic information of a target wind power plant;
and A2, filling the target three-dimensional model in real time according to the monitoring report so as to obtain and display a dynamic supervision model.
In order to facilitate the clear understanding of the condition of the target wind power plant by the supervisory personnel, the supervisory personnel can better conduct supervision, a three-dimensional model is built by combining the basic condition of the target wind power plant, then the three-dimensional model is adjusted by combining the related data in the monitoring report, and a dynamic supervision model is obtained, and the actual condition of each device and environment in the running process is dynamically and intuitively displayed.
As shown in fig. 4, in a second aspect, an embodiment of the present invention provides a monitoring system for wind power generation, including an architecture building module 100, an environmental supervision module 200, a data acquisition module 300, a parameter comparison module 400, an image comparison module 500, a report generation module 600, and a supervision and scheduling module 700, wherein:
the architecture construction module 100 is configured to acquire and construct a monitoring architecture according to basic information of a target wind power plant;
the environment supervision module 200 is used for collecting and importing the target geographic condition information and the target environment information into a preset analysis model to generate a geographic environment supervision result;
the data acquisition module 300 is used for acquiring operation parameter data and operation video data of each wind power equipment in the target wind power plant based on the monitoring architecture;
the parameter comparison module 400 is configured to compare the operation parameter data with preset parameter reference data to generate a data comparison result;
the image comparison module 500 is used for extracting multi-frame images in the running video data, and respectively calculating the similarity between each image and a preset sample image so as to obtain and generate an image anomaly comparison result according to a plurality of similarity results;
the report generation module 600 is configured to generate a monitoring report according to the geographical environment supervision result, the data comparison result and the image anomaly comparison result;
and the supervision and scheduling module 700 is used for regulating and controlling the corresponding wind power equipment by adopting a monitoring framework according to the monitoring report.
In order to solve the problems in the prior art, the system constructs a targeted monitoring architecture aiming at the actual basic condition of the wind power plant through the cooperation of a plurality of modules such as the architecture construction module 100, the environment supervision module 200, the data acquisition module 300, the parameter comparison module 400, the image comparison module 500, the report generation module 600, the supervision scheduling module 700 and the like, so as to accurately and efficiently monitor the operation condition of each wind power device; meanwhile, in order to further improve the monitoring effect, comprehensive environmental supervision is performed by combining the real-time geographic condition and the environmental condition through an analysis model, the environmental influence factors are monitored, and the comprehensiveness of supervision is ensured; and acquiring operation parameter data and operation video data of each wind power equipment in the target wind power plant by adopting a monitoring framework, comparing related data, generating a precise and comprehensive monitoring report by combining an environment monitoring result and a plurality of comparison results, and regulating and controlling the corresponding abnormally operated wind power equipment by adopting the monitoring framework according to the related data in the monitoring report, thereby effectively ensuring the operation safety of the equipment. The invention monitors wind power generation comprehensively and accurately, improves monitoring efficiency and meets monitoring requirements.
Based on the second aspect, in some embodiments of the present invention, the architecture building module 100 includes a device node setting unit, an association unit, a monitoring node building unit, and a monitoring architecture building unit, where:
the device node setting unit is used for extracting and setting corresponding device management nodes according to the device information in the basic information of the target wind power plant;
the association unit is used for extracting and generating association information according to the equipment function class data in the equipment information, associating the corresponding equipment management nodes according to the association information, and constructing an association channel to obtain a management architecture;
the monitoring node construction unit is used for extracting and constructing a monitoring node according to the carrying condition data and the pre-recorded communication bearing capacity data in the basic information of the target wind power plant;
and the monitoring architecture construction unit is used for constructing a monitoring architecture according to the monitoring nodes and the management architecture.
In order to improve the monitoring efficiency and the monitoring effect, a targeted monitoring architecture is constructed by combining various data such as equipment information, equipment function type data, carrying condition data, pre-recorded communication bearing capacity data and the like through the cooperation of an equipment node setting unit, an association unit, a monitoring node construction unit and a monitoring architecture construction unit, equipment management nodes in the architecture are used for managing each equipment in a targeted mode, and classified scheduling association management is carried out on the basis of different types, so that the monitoring efficiency is greatly improved.
Based on the second aspect, in some embodiments of the present invention, the wind power generation monitoring system further includes an alarm module, configured to generate and send alarm prompt information according to the monitoring report.
When the equipment is abnormal, the alarm module is combined with the related data in the monitoring report form to carry out accurate and effective alarm prompt, and timely prompt the supervision personnel to carry out investigation and adjustment.
Based on the second aspect, in some embodiments of the invention, the monitoring system for wind power generation further comprises a model building module and a dynamic display module, wherein:
the model construction module is used for constructing a target three-dimensional model according to the basic information of the target wind power plant;
and the dynamic display module is used for filling the target three-dimensional model in real time according to the monitoring report so as to obtain and display the dynamic supervision model.
In order to facilitate the clear understanding of the condition of the target wind power plant by the supervisory personnel, the supervisory personnel can better supervise the condition, a three-dimensional model is built by combining the basic condition of the target wind power plant through the cooperation of the model building module and the dynamic display module, then the three-dimensional model is adjusted by combining the related data in the monitoring report, and a dynamic supervisory model is obtained, so that the actual condition of each device and environment in the running process can be dynamically and intuitively displayed.
As shown in fig. 5, in a third aspect, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The method of any of the first aspects described above is implemented when one or more programs are executed by the processor 102.
And a communication interface 103, where the memory 101, the processor 102 and the communication interface 103 are electrically connected directly or indirectly to each other to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules that are stored within the memory 101 for execution by the processor 102 to perform various functional applications and data processing. The communication interface 103 may be used for communication of signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a random access Memory (Random Access Memory, RAM), a Read Only Memory (ROM), a programmable Read Only Memory (Programmable Read-Only Memory, PROM), an erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.
The processor 102 may be an integrated circuit chip with signal processing capabilities. The processor 102 may be a general purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method, system and method may be implemented in other manners. The above-described method and system embodiments are merely illustrative, for example, flow charts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program which, when executed by the processor 102, implements a method as in any of the first aspects described above. The functions, if implemented in the form of software functional modules 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 embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in 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, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (10)

1. The monitoring method of wind power generation is characterized by comprising the following steps:
acquiring and constructing a monitoring architecture according to basic information of a target wind power plant;
collecting and importing target geographic condition information and target environment information into a preset analysis model to generate a geographic environment supervision result;
collecting operation parameter data and operation video data of each wind power equipment in a target wind power plant based on a monitoring framework;
comparing the operation parameter data with preset parameter reference data to generate a data comparison result;
extracting multi-frame images in the operation video data, and respectively calculating the similarity between each image and a preset sample image to obtain and generate an image anomaly comparison result according to a plurality of similarity results;
generating a monitoring report according to the geographical environment supervision result, the data comparison result and the image anomaly comparison result;
and according to the monitoring report, adopting a monitoring framework to regulate and control the corresponding wind power equipment.
2. A method of monitoring wind power generation according to claim 1, wherein the method of constructing a monitoring architecture from the basis information of the target wind farm comprises the steps of:
extracting and setting corresponding equipment management nodes according to the equipment information in the basic information of the target wind power plant;
extracting and generating association information according to equipment function class data in the equipment information, associating corresponding equipment management nodes according to the association information, and constructing an association channel to obtain a management architecture;
extracting and constructing monitoring nodes according to carrying condition data and pre-recorded communication bearing capacity data in basic information of a target wind power plant;
and constructing a monitoring architecture according to the monitoring nodes and the management architecture.
3. A method of monitoring wind power generation according to claim 1, further comprising the steps of:
and generating and sending alarm prompt information according to the monitoring report.
4. A method of monitoring wind power generation according to claim 1, further comprising the steps of:
constructing a target three-dimensional model according to basic information of a target wind power plant;
and filling the target three-dimensional model in real time according to the monitoring report so as to obtain and display a dynamic supervision model.
5. The monitoring system for wind power generation is characterized by comprising a framework construction module, an environment supervision module, a data acquisition module, a parameter comparison module, an image comparison module, a report generation module and a supervision scheduling module, wherein:
the architecture construction module is used for acquiring and constructing a monitoring architecture according to basic information of the target wind power plant;
the environment supervision module is used for collecting and importing the target geographic condition information and the target environment information into a preset analysis model to generate a geographic environment supervision result;
the data acquisition module is used for acquiring operation parameter data and operation video data of each wind power equipment in the target wind power plant based on the monitoring architecture;
the parameter comparison module is used for comparing the operation parameter data with preset parameter reference data to generate a data comparison result;
the image comparison module is used for extracting multi-frame images in the running video data, and calculating the similarity between each image and a preset sample image respectively so as to obtain and generate an image anomaly comparison result according to a plurality of similarity results;
the report generation module is used for generating a monitoring report according to the geographical environment supervision result, the data comparison result and the image anomaly comparison result;
and the supervision and scheduling module is used for regulating and controlling the corresponding wind power equipment by adopting a monitoring framework according to the monitoring report.
6. The wind power generation monitoring system of claim 5, wherein the architecture construction module includes an equipment node setting unit, an association unit, a monitoring node construction unit, and a monitoring architecture construction unit, wherein:
the device node setting unit is used for extracting and setting corresponding device management nodes according to the device information in the basic information of the target wind power plant;
the association unit is used for extracting and generating association information according to the equipment function class data in the equipment information, associating the corresponding equipment management nodes according to the association information, and constructing an association channel to obtain a management architecture;
the monitoring node construction unit is used for extracting and constructing a monitoring node according to the carrying condition data and the pre-recorded communication bearing capacity data in the basic information of the target wind power plant;
and the monitoring architecture construction unit is used for constructing a monitoring architecture according to the monitoring nodes and the management architecture.
7. The wind power generation monitoring system of claim 5, further comprising an alarm module for generating and sending alarm prompt information according to the monitoring report.
8. The wind power generation monitoring system of claim 5, further comprising a model building module and a dynamic display module, wherein:
the model construction module is used for constructing a target three-dimensional model according to the basic information of the target wind power plant;
and the dynamic display module is used for filling the target three-dimensional model in real time according to the monitoring report so as to obtain and display the dynamic supervision model.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the method of any of claims 1-4 is implemented when the one or more programs are executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the method according to any of claims 1-4.
CN202310444534.2A 2023-04-23 2023-04-23 Monitoring method and system for wind power generation Pending CN116503802A (en)

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CN202310444534.2A CN116503802A (en) 2023-04-23 2023-04-23 Monitoring method and system for wind power generation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310444534.2A CN116503802A (en) 2023-04-23 2023-04-23 Monitoring method and system for wind power generation

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Publication Number Publication Date
CN116503802A true CN116503802A (en) 2023-07-28

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