LU503700B1 - An electric field metrology acquisition method and system - Google Patents

An electric field metrology acquisition method and system Download PDF

Info

Publication number
LU503700B1
LU503700B1 LU503700A LU503700A LU503700B1 LU 503700 B1 LU503700 B1 LU 503700B1 LU 503700 A LU503700 A LU 503700A LU 503700 A LU503700 A LU 503700A LU 503700 B1 LU503700 B1 LU 503700B1
Authority
LU
Luxembourg
Prior art keywords
data
electric field
image
report
acquisition
Prior art date
Application number
LU503700A
Other languages
French (fr)
Inventor
Nan Liang
Wenxiang Wang
Xili Zuo
Ming Chen
Zhouqiang Yang
Qi Chen
Huajun Li
Weiguang Huo
Zhiwei Xu
Original Assignee
Huaneng Ningnan Wind Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huaneng Ningnan Wind Power Co Ltd filed Critical Huaneng Ningnan Wind Power Co Ltd
Application granted granted Critical
Publication of LU503700B1 publication Critical patent/LU503700B1/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/20Image enhancement or restoration by the use of local operators
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/40Image enhancement or restoration by the use of histogram techniques
    • G06T5/70
    • G06T5/73
    • G06T5/90
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • G06T7/001Industrial image inspection using an image reference approach
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20024Filtering details
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Processing (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

The present invention discloses an electric field metrology acquisition method, the steps of which are as follows: the meter for measuring electricity test screen of each part of the electric field is collected through setting monitoring equipment in various places in the electric field; Image preprocessing is carried out on the real-time recording meter for measuring electricity image information of the acquired monitoring equipment to obtain the feature image; In the present invention, the metering acquisition system can be used to monitor the abnormal phenomenon in the electric field in real time, it can quickly locate the abnormal area and issue an abnormal warning or directly cut off the line, the application of historical retention data, data analysis and comparison of the acquisition , it can directly determine the cause of the abnormality, and improves the speed of abnormal analysis.

Description

An electric field metrology acquisition method and system HUS03700
Technical field
The present invention relates to the technical field of the measurement acquisition, especially, it relates to an electric field metrology acquisition method and system.
Background technology
Electric power plant refers to a power plant that converts some form of raw energy into electrical energy for fixed facilities or transportation, such as thermal power, hydroelectric power, steam, diesel or nuclear power plants, etc. Thermal power is the use of heat energy obtained by burning fuel to power generation, hydroelectric power is to lead high river water or lake water and river water through the diversion to the downstream to form a drop to push the turbine to rotate and drive the generator to power generation, nuclear electric power generation uses the heat energy released by the slow fission of nuclear fuel in the atomic reactor to generate steam to drive the steam turbine and then drive the generator to rotate power generation, the use of wind to blow the large paddles built on the top of the tower to rotate to drive the generator to power generation is called wind power generation, and the power generation site composed of several, dozens or even dozens of wind turbines is called a wind farm.
The electric field situation in the traditional electric field can only be recorded by manual observation and detection, to achieve measurement monitoring and detection in the electric field, or the use of control system, it cannot achieves complete management control, and data transmission analysis, so that the safety in the electric field is difficult to guarantee, it cannot quickly responds to abnormal positions and cannot do real-time detection of the electric field, resulting in the electric field failure staff response is slow, the abnormal failure will cause greater damage, for this we propose an electric field metrology acquisition method and system to solve the above problems.
Summary of the invention
The purpose of the present invention is to solve the shortcomings in the prior art, and proposes an electric field measurement acquisition method and system.
In order to achieve the above purpose,the present invention uses the following technical solutions.
An electric field measurement acquisition method, its characteristics lie in that the steps are as follows:
The meter for measuring electricity test screen of each part of the electric field is collected through setting monitoring equipment in various places in the electric field,
Image preprocessing is carried out on the real-time recording meter for measuring electricity image information of the acquired monitoring equipment to obtain the feature image;-Y503700
The electric field data terminal receives the identification feature image, and detects the data symbols and pattern features in the feature image;
According to the test results, the test data information is compared with the database sample parameters;
According to the test results and the data parameter comparison results, the working situation in the electric field is immediately judged, and the abnormal places are located and reminded;
Summarize the data information, detection feature information, and analysis and calculation data in each link;
The summarized data generation report is stored in the database and displayed on the terminal device.
Preferably, the meter for measuring electricity test screen of each part of the electric field is collected through setting monitoring equipment in various places in the electric field, the steps are as follows:
Through the system application requirements, the original measurement data is processed, including analysis, calculation, summary, classification, management, storage and query, etc., to provide the estimated parameters of the measurement data of this task ;
According to the original data processing results, the system is responsible for compiling the collection task, and managing and executing the acquisition task, and checking and evaluating the completion and implementation effect of the measurement acquisition task;
According to the compiled acquisition task, the monitoring peripheral probe at the relevant locations are controlled to transmit the meter for measuring electricity information of such locations to the data.
Preferably, the image preprocessing is carried out on the real-time recording meter for measuring electricity image information of the acquired monitoring equipment to obtain the feature image, the steps are as follows:
The acquired monitoring image is gray scale, so that each pixel of the gray scale image only needs one byte to store the gray scale value, and the gray scale range is 0-255;
The acquisition images are processed by geometric transformations such as translation, transposition, mirroring, rotation, and scaling to collect errors of image acquisition and the random errors of the instrument position.
Using the gray scale interpolation algorithm, the pixels of the output image are mapped to the non-integer coordinates of the input image, calculations are performed according to the transformation relationship.
The image is treated as a two-dimensional signal by the frequency domain method, and it$/503700 signal enhancement based on the two-dimensional Fourier transform is enhanced.
By filtering out high-frequency components that represent image edges, noise, or steep changes, leaving only low-frequency components that change gently;
Then the frequency domain is transformed back to the time domain, that is, the image is smoothed; on the contrary, if the low-frequency components are filtered out, and only the high-frequency components are left, so the image is sharpened.
According to an electric field metrology acquisition method described in claim 1, its characteristics lie in that the data symbols and pattern features in the feature image are detected, the steps are as follows:
Gamma correction method is used to standardize the color space of the input image.
Calculating the gradient of each pixel of the image captures the contour information, weakening the interference of illumination;
Dividing the image into small cells and counting the gradient histogram for each small cell.
Each small unit is formed into a block to obtain the characteristic block of the block;
The obtained feature blocks are concatenated to obtain the feature data that the image can be used for data extraction.
The meter for measuring electricity used, high-precision electric energy meter can directly measure multi-time bidirectional active electric energy, reactive energy, four-quadrant reactive energy, and they store their data, four-quadrant reactive power can be accumulated and displayed in any combination, the electric energy meter is programmable, in order to correspond to different primary side electric current, voltage parameters, the electric energy meter should have the function of recording the load curve, at least two cross-independent load curves are provided, the first set of load curve 15 points of the gentry bottom code record content includes positive and reverse active total quantity of electric charge, positive and reverse useless quantity of electric charge, four-quadrant total useless quantity of electric charge; Voltage (A, B, C), an electric current (A, B, C), active and reactive power, the first set of 15-minute bottom code load curve storage 1s kept for at least 3 months; The second set of load curves records the positive and reverse active incremental load curves for 1 minute, and the data storage time is not less than 25 days; Load curve information;
The wind farm upgrades and transforms the 220kV and 35kV gateway meters, the electric energy acquisition terminal upgrades, trading TMR system is connected and debugged; After the system transformation, the power station has the technical service of sending data mirror interface. And dispatch the communication access of the first and second planes.
An electric field metrology acquisition system, including:
Data acquisition unit:it is used to collect the the meter electricity test screen of each part 203700 the electric field through setting monitoring equipment in various places in the electric field,
Image preprocessing unit: it is used to carry out on the image preprocessing on the real-time recording meter electricity image information of the acquired monitoring equipment to obtain feature images;
Identify the detection unit:it is used to receive and identify feature images by electric field data terminals, and detect the data symbols and pattern features in feature images;
Data comparison unit: it is used to compare the test data information with the database sample parameters according to the test results;
Data judgment unit:it is used to immediately judge the working situation in the electric field according to the test results and the data parameter comparison results, and the abnormal places are located and reminded;
Information summary unit:it is used to summarize the data information, detection feature information, and analysis and calculation data in each link;
Report generation unit: the summarized data generation report is stored in the database and displayed on the terminal ;
Database: used to store various data in the process of work.
Preferably, the report generation unit includes:
Report format editing module: used to make report format files;
Configuration file editing module: used to edit the file configuration;
Form table configuration module: used to edit the form table configuration file;
Report name configuration module: used to edit the report name configuration file and record the file name of each report;
Time configuration module: used to edit the time profile and determine the time of report output;
Report automatic generation module: used for the report auto-generation module to obtain data from the specified real-time database according to the report configuration file, and synthesize the data with the report format file into a real report.
Compared to existing technologies,the present invention has the following beneficial effects:
In the present invention, the metrology acquisition system can be used to monitor the abnormal phenomenon in the electric field in real time, it can quickly locate the abnormal area and issue an abnormal warning or directly cut off the line, and at the same time store the power grid operation data when the abnormality is abnormal and retain the abnormal data; In addition,
the application of historical retention data, data analysis and comparison of the acquisition hereJ203700 it can directly determine the cause of the abnormality, improve the speed of abnormal analysis, the acquisition system can quickly locate the fault point and the scope of judgment, so that the emergency repair personnel can respond quickly, thereby shortening the fault repair time. 5 Description of attached drawings
FIG. 1 is a schematic diagram of an electric field metrology acquisition method and system proposed by the present invention.
Specific embodiments
The following will be combined with the accompanying drawings in the examples of the present invention, the technical solution in the examples of the present invention will be clearly and completely described, obviously, the described examples are only a part of the examples of the present invention and not all of them.
Fig 1, an electric field metrology acquisition method, its characteristics lie in that the steps are as follows:
S1:the meter for measuring electricity test screen of each part of the electric field is collected through setting monitoring equipment in various places in the electric field, the steps are as follows:
Through the system application requirements, the original measurement data is processed, including analysis, calculation, summary, classification, management, storage and query, etc., to provide the estimated parameters of the measurement data of this task ;
According to the original data processing results, the system is responsible for compiling the collection task, and managing and executing the acquisition task, and checking and evaluating the completion and implementation effect of the measurement acquisition task;
According to the compiled acquisition task, the monitoring peripheral probe at the relevant locations are controlled to transmit the meter for measuring electricity information of such locations to the data.
S2; The image preprocessing is carried out on the real-time recording meter for measuring electricity image information of the acquired monitoring equipment to obtain the feature image, the steps are as follows:
The acquired monitoring image is gray scale, so that each pixel of the gray scale image only needs one byte to store the gray scale value, and the gray scale range is 0-255;
The acquisition images are processed by geometric transformations such as translation, transposition, mirroring, rotation, and scaling to collect errors of image acquisition and the random errors of the instrument position;
Using the gray scale interpolation algorithm, the pixels of the output image are mapped té/508700 the non-integer coordinates of the input image, calculations are performed according to the transformation relationship;
The image is treated as a two-dimensional signal by the frequency domain method, and its signal enhancement based on the two-dimensional Fourier transform is enhanced,
By filtering out high-frequency components that represent image edges, noise, or steep changes, leaving only low-frequency components that change gently;
Then the frequency domain is transformed back to the time domain, that is, the image is smoothed; on the contrary, if the low-frequency components are filtered out, and only the high-frequency components are left, so the image is sharpened;
The principle of frequency domain enhancement is very simple, and the key issue of its application is how to select the filter radius threshold. Filter mathematical represents as:
G(u, v)=F(u, v)H(u, v)
Including G(x,y), H(u,v), and F(u,v) are respectively the Fourier transforms of g(x,y), h(x,y), and f(x,y), commonly used high-pass filters:
Trapezoidal high-pass filter : 0, D(yu,v)< Di
Hurt) = ye D1<D(u,v)<D, san 1, D(u,v)>z D,
S3: The electric field data terminal receives the identification feature image, and detects the data symbols and pattern features in the feature image, the steps are as follows:
Gamma correction method is used to standardize the color space of the input image;
Calculating the gradient of each pixel of the image captures the contour information, weakening the interference of illumination;
Dividing the image into small cells and counting the gradient histogram for each small cell.
Each small unit is formed into a block to obtain the characteristic block of the block;
The obtained feature blocks are concatenated to obtain the feature data of the image for data extraction;
Gamma compression formula:
I(x, y)=1(x, VIT
It can be taken Gamma=1/2;
Transformation of each pixel gray scale of the image to expand the image gray scale range.
If you design the grayscale function Fc, y) of the image, it becomes a new image function & (x, Y) through the transformation function TO that 1s: 17008700 80x, yV)=T (f(x,y)
To achieve the purpose of contrast enhancement through transformation;
The gray scale transformation method is mainly divided into the following two types: linear transformation method and piece-wise linear transformation method;
The linear transformation assumes that the gray range of the source image is [ab] and the gray range of the transformed image is expected to expand to le. d] linear transformation;
Represented as: gx, =| d=) lb-a)lf (x,y) +c
If the gray levels of most pixels in the image are distributed in the interval, and a small gray level exceeds this interval, in order to improve the effect of enhancement, it can be made that: c O< f(x,y) <a gx, y) = I —olb-a)lf(xy)+e as flxy)<b d b< f(x, y)<L
S4: According to the test results, the test data information is compared with the database sample parameters;
S5: According to the test results and the data parameter comparison results, the working situation in the electric field is immediately judged, and the abnormal places are located and reminded;
S6: Summarize the data information, detection feature information, and analysis and calculation data in each link;
S7: The summarized data generation report is stored in the database and displayed on the terminal device.
An electric field metrology acquisition system, including:
Data acquisition unit:it is used to collect the the meter electricity test screen of each part of the electric field through setting monitoring equipment in various places in the electric field;
Image preprocessing unit: it is used to carry out on the image preprocessing on the real-time recording meter electricity image information of the acquired monitoring equipment to obtain feature images;
Identify the detection unit:it is used to receive and identify feature images by electric field data terminals, and detect the data symbols and pattern features in feature images;
Data comparison unit: it is used to compare the test data information with the databak&/503700 sample parameters according to the test results;
Data judgment unit:it is used to immediately judge the working situation in the electric field according to the test results and the data parameter comparison results, and the abnormal places are located and reminded;
Information summary unit:it is used to summarize the data information, detection feature information, and analysis and calculation data in each link;
Report generation unit: the summarized data generation report is stored in the database and displayed on the terminal ;
The report generation unit includes:
Report format editing module: it used to make report format files;
Configuration file editing module: it used to edit the file configuration;
Form table configuration module: it used to edit the form table configuration file;
Report name configuration module: it used to edit the report name configuration file and record the file name of each report;
Time configuration module: it used to edit the time profile and determine the time of report output,
Report automatic generation module: it used for the report auto-generation module to obtain data from the specified real-time database according to the report configuration file, and synthesize the data with the report format file into a real report;
Database: it used to store various data in the process of work.
An electric field metrology data acquisition device, its characteristics lie in that includes a memory and a processor,the memory stores terminal readable instructions,the processor executes the terminal readable instructions when implementing the steps of the electric field metrology acquisition method in any one of claims 1 to 4.
À terminal-readable storage medium, its characteristics lie in that the terminal-readable storage medium is stored with terminal-readable instructions, and the terminal-readable instructions are executed by the processor implementing the steps of the electric field metrology acquisition method in any one of claims 1 to 4.
The above mentioned is only a better specific embodiment of the present invention, but the scope of protection of the present invention is not limited to this, any person skilled in the art within the scope of technology disclosed in the present invention; according to the technical solution of the present invention, and its invention idea to be equivalent replacement or change, should be covered within the scope of protection of the present invention.

Claims (8)

  1. CLAIMS LU503700 1, An electric field metrology acquisition method, its characteristics lie in that the steps are as follows: The meter for measuring electricity test screen of each part of the electric field 1s collected through setting monitoring equipment in various places in the electric field; Image preprocessing is carried out on the real-time recording meter for measuring electricity image information of the acquisition monitoring equipment to obtain the feature image; The electric field data terminal receives the identification feature image, and detects the data symbols and pattern features in the feature image; According to the test results, the test data information is compared with the database sample parameters; According to the test results and the data parameter comparison results, the working situation in the electric field is immediately judged, and the abnormal places are located and reminded; Summarize the data information, detection feature information, and analysis and calculation data in each link; The summarized data generation report is stored in the database and displayed on the terminal device.
  2. 2. According to an electric field measurement acquisition method described in claim 1, its characteristics lie in that the meter for measuring electricity test screen of each part of the electric field is collected through setting monitoring equipment in various places in the electric field, the steps are as follows: Through the system application requirements, the original measurement data is processed, including analysis, calculation, summary, classification, management, storage and query, etc., to provide the estimated parameters of the measurement data of this task ; According to the original data processing results, the system is responsible for compiling the collection task, and managing and executing the acquisition task, and checking and evaluating the completion and implementation effect of the measurement acquisition task; According to the compiled acquisition task, the monitoring peripheral probe at the relevant locations are controlled to transmit the meter for measuring electricity information of such locations to the data.
  3. 3. According to an electric field metrology acquisition method described in claim 1, its characteristics lie in that the image preprocessing is carried out on the real-time recording metk}#503700 for measuring electricity image information of the acquired monitoring equipment to obtain the feature image, the steps are as follows: The acquired monitoring image is gray scale, so that each pixel of the gray scale image only needs one byte to store the gray scale value, and the gray scale range is 0-255; The acquisition images are processed by geometric transformations such as translation, transposition, mirroring, rotation, and scaling to collect errors of image acquisition and the random errors of the instrument position; Using the gray scale interpolation algorithm, the pixels of the output image are mapped to the non-integer coordinates of the input image, calculations are performed according to the transformation relationship; The image is treated as a two-dimensional signal by the frequency domain method, and its signal enhancement based on the two-dimensional Fourier transform is enhanced; By filtering out high-frequency components that represent image edges, noise, or steep changes, leaving only low-frequency components that change gently; Then the frequency domain is transformed back to the time domain, that is, the image is smoothed; On the contrary, if the low-frequency components are filtered out, and only the high-frequency components are left, so the image is sharpened.
  4. 4, According to an electric field metrology acquisition method described in claim 1, its characteristics lie in that the data symbols and pattern features in the feature image are detected, the steps are as follows: Gamma correction method is used to standardize the color space of the input image; Calculating the gradient of each pixel of the image captures the contour information, weakening the interference of illumination; Dividing the image into small cells and counting the gradient histogram for each small cell; Each small unit is formed into a block to obtain the characteristic block of the block; The obtained feature blocks are concatenated to obtain the feature data that the image can be used for data extraction.
  5. 5. An electric field metrology acquisition system, its characteristics lie in that the steps are as follows: Data acquisition unit: it is used to collect the the meter electricity test screen of each part of the electric field through setting monitoring equipment in various places in the electric field, Image preprocessing unit: it is used to carry out on the image preprocessing on the real-time recording meter electricity image information of the acquired monitoring equipment to obtain feature images; LU503700 Identify the detection unit: it is used to receive and identify feature images by electric field data terminals, and detect the data symbols and pattern features in feature images; Data comparison unit: it is used to compare the test data information with the database sample parameters according to the test results; Data judgment unit: it is used to immediately judge the working situation in the electric field according to the test results and the data parameter comparison results, and the abnormal places are located and reminded; Information summary unit: it is used to summarize the data information, detection feature information, and analysis and calculation data in each link; Report generation unit: the summarized data generation report is stored in the database and displayed on the terminal ; Database: it is used to store the data during the working process.
  6. 6, According to an electric field metrology acquisition method described in claim 5, its characteristics lie in that the report generation unit includes: Report format editing module: it used to make report format files; Configuration file editing module: it used to edit the file configuration; Form table configuration module: it used to edit the form table configuration file; Report name configuration module: it used to edit the report name configuration file and record the file name of each report; Time configuration module: it used to edit the time profile and determine the time of report output; Report automatic generation module: it used for the report auto-generation module to obtain data from the specified real-time database according to the report configuration file, and synthesize the data with the report format file into a real report.
  7. 7. An electric field metrology data acquisition device, its characteristics lie in that includes a memory and a processor, the memory stores terminal readable instructions,the processor executes the terminal readable instructions when implementing the steps of the electric field metrology acquisition method in any one of claims 1 to 4.
  8. 8. A terminal-readable storage medium, its characteristics lie in that the terminal-readable storage medium is stored with terminal-readable instructions, and the terminal-readable instructions are executed by the processor implementing the steps of the electric field metrology acquisition method in any one of claims 1 to 4.
LU503700A 2022-05-20 2023-03-20 An electric field metrology acquisition method and system LU503700B1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210560720.8A CN114897852A (en) 2022-05-20 2022-05-20 Electric field metering and collecting method and system

Publications (1)

Publication Number Publication Date
LU503700B1 true LU503700B1 (en) 2023-09-21

Family

ID=82722871

Family Applications (1)

Application Number Title Priority Date Filing Date
LU503700A LU503700B1 (en) 2022-05-20 2023-03-20 An electric field metrology acquisition method and system

Country Status (2)

Country Link
CN (1) CN114897852A (en)
LU (1) LU503700B1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117096877B (en) * 2023-10-19 2024-02-13 国网山西省电力公司营销服务中心 Multi-view-based regional dynamic electricity-carbon data electricity analysis method and system

Also Published As

Publication number Publication date
CN114897852A (en) 2022-08-12

Similar Documents

Publication Publication Date Title
LU503700B1 (en) An electric field metrology acquisition method and system
CN107797063A (en) Running of wind generating set state estimation and method for diagnosing faults based on SCADA
CN106368908A (en) Wind turbine generator set power curve testing method based on SCADA (supervisory control and data acquisition) system
CN104819107B (en) The diagnostic method and system of a kind of Wind turbines power curve drift extremely
CN105205569A (en) Draught fan gear box state on-line evaluation model building method and on-line evaluation method
CN112003564B (en) Distributed photovoltaic system branch power abnormity early warning method based on intelligent terminal
CN109615273B (en) Method and system for evaluating state of electric vehicle charging facility
CN102981082B (en) Based on Wind turbines flickering simulated testing system and the method for virtual grid simulation
EP2673503B1 (en) Method for determining lost energy production
CN114781143A (en) Method and system for monitoring, early warning and evaluating generated energy of wind power plant
CN113285471B (en) Offshore wind farm subsynchronous oscillation source sensing and positioning method, device and equipment
CN116613896B (en) Data acquisition monitoring method based on micro-grid
CN108171960B (en) Self-diagnosis method and system for abnormity of metering device of integrated energy management platform
CN112444758B (en) Intelligent power distribution network line fault diagnosis and classification evaluation method
CN1430050A (en) In-line fault diagnosis system for running mechanism of train
CN112926656A (en) Method, system and equipment for predicting state of circulating water pump of nuclear power plant
CN110908985A (en) Intelligent screening method and system for abnormal data of meteorological environment automatic monitoring station
CN114839462A (en) Intelligent anti-electricity-stealing monitoring method and system
CN109980778A (en) A kind of dry reactor monitoring method and its device based on waveform reduction technique
CN113532753B (en) Wind farm gear box oil leakage detection method based on machine vision
Qiao et al. Research on SCADA data preprocessing method of Wind Turbine
CN114595989A (en) Wind turbine generator performance evaluation method and device
CN111120097B (en) Indicator diagram-based online early warning method, system and medium for diesel under all working conditions
CN111986469A (en) Intelligent diagnosis method for field terminal fault
Sheng-Yu et al. Research on Fault Warning of doubly Fed Wind Power Generator based on LS-SVM

Legal Events

Date Code Title Description
FG Patent granted

Effective date: 20230921