CN116128320A - Visual control method and platform for power transmission and transformation of power grid - Google Patents

Visual control method and platform for power transmission and transformation of power grid Download PDF

Info

Publication number
CN116128320A
CN116128320A CN202310009017.2A CN202310009017A CN116128320A CN 116128320 A CN116128320 A CN 116128320A CN 202310009017 A CN202310009017 A CN 202310009017A CN 116128320 A CN116128320 A CN 116128320A
Authority
CN
China
Prior art keywords
image
twin
abnormal
dimensional
digital twin
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202310009017.2A
Other languages
Chinese (zh)
Other versions
CN116128320B (en
Inventor
石鑫
谢春阳
付俊霞
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Thailand Information Technology Co ltd
Original Assignee
Hangzhou Thailand Information Technology 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 Hangzhou Thailand Information Technology Co ltd filed Critical Hangzhou Thailand Information Technology Co ltd
Priority to CN202310009017.2A priority Critical patent/CN116128320B/en
Publication of CN116128320A publication Critical patent/CN116128320A/en
Application granted granted Critical
Publication of CN116128320B publication Critical patent/CN116128320B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0637Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/50Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/04Power grid distribution networks
    • 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
    • G06T2207/20212Image combination
    • G06T2207/20221Image fusion; Image merging
    • 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Educational Administration (AREA)
  • Tourism & Hospitality (AREA)
  • Evolutionary Computation (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Quality & Reliability (AREA)
  • Databases & Information Systems (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • Game Theory and Decision Science (AREA)
  • Primary Health Care (AREA)
  • Operations Research (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • Development Economics (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Multimedia (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Image Processing (AREA)

Abstract

The invention provides a visual control method and a visual control platform for power transmission and transformation of a power grid, comprising the following steps: the server constructs a first digital twin space corresponding to the power transmission and transformation system of the power grid according to the twin configuration data; dividing the twin storage module according to the attribute corresponding to each digital twin module to obtain a corresponding twin storage unit, and dividing the twin storage unit into an abnormal storage subunit and a normal storage subunit; determining a corresponding abnormal storage subunit or a normal storage subunit according to the current equipment label, the current image attribute and the current image result; the server generates a first display mode or a second display mode corresponding to each digital twin module according to all abnormal storage subunits and/or normal storage subunits corresponding to each digital twin module; and sequencing the digital twin modules in the first display list to obtain a second display list, and sending the second digital twin space and the second display list to the display end.

Description

Visual control method and platform for power transmission and transformation of power grid
Technical Field
The invention relates to the technical field of data processing, in particular to a power transmission and transformation visual management and control method and a platform for a power grid.
Background
The stable operation of the power transmission and transformation system of the power grid is the basis for ensuring the power supply, and a plurality of power transformation devices such as a transformer, an electric wire and the like are arranged in the power transmission and transformation system of the power grid. In the prior art, in order to ensure the stable operation of a power transmission and transformation system of a power grid, a patrol group is arranged to patrol and examine the power transformation equipment of the power transmission and transformation system of the power grid, when abnormal conditions exist, feedback is carried out to a management center, and after the feedback is received by the management center, a strategy is formulated for rush repair.
However, in the prior art, the state of the power transformation equipment cannot be displayed in real time and in a striking manner by combining a digital twin space, so that workers cannot effectively process in time when abnormal conditions occur.
Disclosure of Invention
The embodiment of the invention provides a visual control method and a visual control platform for power transmission and transformation of a power grid, which can be combined with a digital twin space to display the current state of power transformation equipment in real time and in a striking manner, and can be known by workers in time when abnormal conditions occur, so that the power transmission and transformation can be rapidly and effectively processed.
In a first aspect of an embodiment of the present invention, a method for controlling visualization of power transmission and transformation of a power grid is provided, including:
s1, a server constructs a first digital twin space corresponding to a power grid power transmission and transformation system according to twin configuration data, wherein the first digital twin space comprises a plurality of digital twin modules, and equipment tags corresponding to the digital twin modules are counted to generate a tag list;
S2, the server generates a twin storage module corresponding to each digital twin module according to the tag list, divides the twin storage module according to the attribute corresponding to each digital twin module to obtain a corresponding twin storage unit, and divides the twin storage unit into an abnormal storage subunit and a normal storage subunit;
s3, the server identifies the power transmission and transformation image of the power grid sent by the acquisition device to obtain a corresponding current equipment tag, a current image attribute and a current image result, and determines a corresponding abnormal storage subunit or a normal storage subunit according to the current equipment tag, the current image attribute and the current image result;
s4, the server generates a first display mode or a second display mode corresponding to each digital twin module according to all abnormal storage subunits and/or normal storage subunits corresponding to each digital twin module, and controls all digital twin modules in the first digital twin space to be displayed according to the first display mode or the second display mode, so that a second digital twin space is obtained;
s5, extracting all the digital twin modules with the second display mode to generate a first display list, sequencing the digital twin modules in the first display list to obtain a second display list, and sending the second digital twin space and the second display list to a display end.
Optionally, in a possible implementation manner of the first aspect, the S1 includes:
acquiring a three-dimensional twin image set in twin configuration data, equipment labels corresponding to each three-dimensional twin image set and label combination information, wherein the three-dimensional twin image set comprises a normal three-dimensional twin image and an abnormal three-dimensional twin image;
establishing digital twin modules corresponding to each three-dimensional twin image set, sequencing and combining all the digital twin modules according to the label combination information, extracting normal three-dimensional twin images corresponding to each three-dimensional twin image set, and enabling each digital twin module to display the normal three-dimensional twin images to obtain a corresponding first digital twin space;
and counting equipment labels of the three-dimensional twin image set corresponding to each digital twin module, and generating a label list.
Optionally, in a possible implementation manner of the first aspect, the S2 includes:
dividing the twin storage modules according to the attribute corresponding to each digital twin module to obtain corresponding twin storage units, wherein the twin storage units are arranged in one-to-one correspondence with the attribute corresponding to the digital twin module;
According to the attribute corresponding to each abnormal three-dimensional twin image, setting the abnormal three-dimensional twin image and the corresponding abnormal storage subunit correspondingly;
if the plurality of the abnormal storage subunits is judged, generating corresponding abnormal combined twin images according to the abnormal three-dimensional twin images of the plurality of the abnormal storage subunits, and correspondingly setting the abnormal combined twin images and the plurality of the abnormal storage subunits.
Optionally, in one possible implementation manner of the first aspect, if the determining that the plurality of abnormal storage subunits is multiple, generating a corresponding abnormal combined twin image according to the abnormal three-dimensional twin images of the plurality of abnormal storage subunits, and setting the abnormal combined twin image corresponding to the plurality of abnormal storage subunits includes:
the method comprises the steps of arranging and combining a plurality of abnormal storage subunits to obtain a plurality of unit combination results, and extracting an abnormal three-dimensional twin image corresponding to the abnormal storage subunit of each unit combination result;
generating a segmentation number according to the number of the abnormal three-dimensional twin images, and carrying out segmentation processing on the abnormal three-dimensional twin images according to the segmentation number to obtain a three-dimensional image segmentation area corresponding to each abnormal three-dimensional twin image;
Carrying out label processing on all three-dimensional image segmentation areas of each abnormal three-dimensional twin image according to the positions of the three-dimensional image segmentation areas, so that each three-dimensional image segmentation area has a label corresponding to the three-dimensional image segmentation area;
determining a label to be selected corresponding to the abnormal three-dimensional twin image of each abnormal storage subunit according to the attribute corresponding to each abnormal storage subunit in each unit combination result, and recombining the corresponding three-dimensional image segmentation area according to the label to be selected to obtain the abnormal combination twin image corresponding to each unit combination result.
Optionally, in one possible implementation manner of the first aspect, the determining, according to the attribute corresponding to each abnormal storage subunit in each unit combination result, a label to be selected corresponding to an abnormal three-dimensional twin image of each abnormal storage subunit, and reorganizing, according to the label to be selected, a corresponding three-dimensional image segmentation area to obtain an abnormal combination twin image corresponding to each unit combination result includes:
comparing the attribute corresponding to each abnormal storage subunit in each unit combination result with a preset attribute corresponding table to obtain a sequencing coefficient corresponding to each abnormal storage subunit;
Sorting all the abnormal storage subunits according to the sorting coefficient to obtain a storage unit sorting sequence, and sequentially adding sequence numbers to all the abnormal storage subunits in the storage unit sorting sequence to obtain a label to be selected corresponding to the abnormal three-dimensional twin image;
determining a corresponding three-dimensional image segmentation area according to the label to be selected corresponding to each abnormal three-dimensional twin image;
and (3) carrying out recombination and splicing on all the determined three-dimensional image segmentation areas according to the sequence of the marks to be selected to obtain an abnormal combined twin image corresponding to each unit combination result.
Optionally, in a possible implementation manner of the first aspect, the S3 includes:
the method comprises the steps that a server receives a power transmission and transformation image of a power grid and position information corresponding to the power transmission and transformation image of the power grid, which are sent by a collecting device, and the server identifies the position information according to a position relation table to obtain a corresponding current equipment label, wherein the position relation table has a corresponding relation between the position information and the equipment label;
extracting an image attribute tag of the power grid power transmission and transformation image to obtain a current image attribute corresponding to the power grid power transmission and transformation image;
identifying the power transmission and transformation image of the power grid to obtain a corresponding current image result, wherein the current image result is an image normal result or an image abnormal result;
And determining a corresponding twin storage module according to the current equipment tag, determining a corresponding twin storage unit according to the image attribute tag, and determining an abnormal storage subunit or a normal storage subunit according to the image normal result or the image abnormal result.
Optionally, in one possible implementation manner of the first aspect, the identifying the power transmission and transformation image of the power grid to obtain a corresponding current image result, where the current image result is an image normal result or an image abnormal result includes:
if the power grid power transmission and transformation image is an infrared image, acquiring a pixel value of each pixel point in the infrared image, and determining temperature information of an area formed by the corresponding pixel point according to the pixel value of the pixel point;
if the temperature information is located in the temperature preset interval, the current image result is an image normal result of the infrared image, and if the temperature information is not located in the temperature preset interval, the current image result is an image abnormal result of the infrared image;
if the power grid power transmission and transformation image is a white light image, a corresponding preset image is called according to the current equipment label, the white light image and the preset image are the same in size, and the white light image and the preset image are compared to obtain an image comparison coefficient;
If the image comparison coefficient is larger than or equal to a preset coefficient, the current image result is an image normal result of the white light image, and if the image comparison coefficient is smaller than the preset coefficient, the current image result is an image abnormal result of the white light image.
Optionally, in one possible implementation manner of the first aspect, if the power transmission and transformation image of the power grid is a white light image, a corresponding preset image is called according to a current equipment tag, and the comparing the white light image with the preset image to obtain an image comparison coefficient includes:
performing gray conversion processing on the white light image according to the RGB value of each pixel point in the white light image to obtain a first gray image, and performing gray conversion processing on the preset image according to the RGB value of each pixel point in the preset image to obtain a second gray image;
determining a first gray pixel point and a second gray pixel point which have the same coordinates in the first gray image and the second gray image, and calculating the difference value of the first gray pixel point and the second gray pixel point with the same coordinates to obtain a gray difference value;
if the gray difference value is in the preset gray interval, counting corresponding first gray pixel points and second gray pixel points to obtain a first gray set, and if the gray difference value is not in the preset gray interval, counting corresponding first gray pixel points and second gray pixel points to obtain a second gray set;
Calculating according to the number of the first gray scale pixel points and the second gray scale pixel points in the first gray scale set and the second gray scale set to obtain an image comparison coefficient, wherein the image comparison coefficient comprises the following components:
counting the number of first gray pixel points and second gray pixel points in a first gray set to obtain the number of first pixel points, and counting the number of first gray pixel points and second gray pixel points in a second gray set to obtain the number of second pixel points;
the image alignment coefficient is calculated by the following formula,
Figure BDA0004037132440000051
/>
wherein x is an image comparison coefficient, s 1 S is the first pixel number 2 K is a reference weight value, and u is a preset coefficient value for the number of second pixels.
Optionally, in a possible implementation manner of the first aspect, the S4 includes:
if the twin storage units of the digital twin modules store the power grid power transmission and transformation images through the normal storage sub units, determining normal three-dimensional twin images corresponding to the digital twin modules, and taking the normal three-dimensional twin images as a first display mode corresponding to the corresponding digital twin modules;
if the twin storage unit of the digital twin module stores the power transmission and transformation image of the power grid through the abnormal storage subunit, determining a corresponding abnormal three-dimensional twin image or an abnormal combined twin image according to the abnormal storage subunit, and taking the abnormal three-dimensional twin image or the abnormal combined twin image as a second display mode corresponding to the corresponding digital twin module, wherein the second display mode comprises the following steps:
If the power transmission and transformation images of the power grid are stored through the 1 abnormal storage subunit, invoking the abnormal three-dimensional twin image corresponding to the abnormal storage subunit as a second display mode corresponding to the corresponding digital twin module;
if the power transmission and transformation images of the power grid are stored through a plurality of abnormal storage subunits, the plurality of abnormal storage subunits are arranged and combined to obtain a current unit combination result, and an abnormal combination twin image corresponding to the unit combination result is called as a second display mode corresponding to the corresponding digital twin module;
and if any digital twin module is judged to be in the second display mode, obtaining a second digital twin space according to all the digital twin modules.
Optionally, in a possible implementation manner of the first aspect, the S5 includes:
when judging that the digital twin modules with the second display modes exist, counting all the digital twin modules with the second display modes to obtain a first display list;
obtaining the abnormal type of the abnormal storage sub-units, the abnormal unit number of the abnormal storage sub-units and the normal unit number of the normal storage sub-units of each digital twin module in the first display list, calculating according to the abnormal type, the abnormal unit number and the normal unit number to obtain a display ordering coefficient, calculating the display ordering coefficient by the following formula,
Figure BDA0004037132440000061
Wherein y is a display ordering coefficient, r 1 For the number of abnormal units, h is a number weight value, g p The exception category weight for the subunit is stored for the p-th exception,n is the upper limit value of the number of abnormal storage subunits, r 2 Is the normal number of units;
and carrying out descending order sequencing on the digital twin modules in the first display list according to the display sequencing coefficient to obtain a second display list, and sending the second digital twin space and the second display list to a display end.
In a second aspect of the embodiment of the present invention, a power grid power transmission and transformation visualization management and control platform is provided, including:
the tag module is used for constructing a first digital twin space corresponding to the power grid transmission and transformation system according to the twin configuration data by the server, wherein the first digital twin space comprises a plurality of digital twin modules, and equipment tags corresponding to each digital twin module are counted to generate a tag list;
the dividing module is used for generating a twin storage module corresponding to each digital twin module according to the tag list, dividing the twin storage module according to the attribute corresponding to each digital twin module to obtain a corresponding twin storage unit, and dividing the twin storage unit into an abnormal storage subunit and a normal storage subunit;
The determining module is used for identifying the power transmission and transformation image of the power grid sent by the acquisition device by the server to obtain a corresponding current equipment tag, a current image attribute and a current image result, and determining a corresponding abnormal storage subunit or a normal storage subunit according to the current equipment tag, the current image attribute and the current image result;
the display module is used for generating a first display mode or a second display mode corresponding to each digital twin module according to all abnormal storage subunits and/or normal storage subunits corresponding to each digital twin module by the server, and controlling all the digital twin modules in the first digital twin space to display according to the first display mode or the second display mode so as to obtain a second digital twin space;
the transmission module is used for extracting all the digital twin modules with the second display mode to generate a first display list, sequencing the digital twin modules in the first display list to obtain a second display list, and sending the second digital twin space and the second display list to the display end.
The beneficial effects are that:
1. the scheme can construct a digital twin space for displaying the current state of each power transformation device in the power transmission and transformation system of the power grid, and the digital twin space can display the real-time state to staff remarkably, so that the staff can be assisted to monitor the power transmission and transformation system of the power grid accurately and rapidly; the scheme divides different image storage units according to different image attributes and whether the images are abnormal or not, and stores the image data in a classified mode; meanwhile, the stored data are analyzed, abnormal phenomena and normal phenomena are displayed in a split mode, when a plurality of abnormal images exist, the abnormal images are fused, and the current state of the corresponding power transformation equipment can be comprehensively displayed to staff; finally, the abnormal data can be integrated and ordered by the scheme, and the staff is assisted to respond rapidly in a targeted manner. The scheme can be combined with the digital twin space to display the current state of the power transformation equipment in real time and prominently, and workers can know the current state in time when abnormal conditions occur, so that the current state can be processed rapidly and effectively.
2. According to the scheme, different digital twin modules are divided according to different equipment labels, twin storage units corresponding to different attributes are divided according to different image attributes, storage subunits corresponding to normal results or abnormal results are divided according to the normal or abnormal image results, and the orderly classified storage of the data of each transformer equipment is realized in the mode, so that corresponding data can be invoked and checked quickly and accurately; when the data are displayed, whether a plurality of abnormal data exist or not can be judged according to the abnormal storage subunit, when a plurality of abnormal images corresponding to the power transformation equipment exist, the abnormal images cannot be displayed at one position at the same time, at the moment, the abnormal three-dimensional twin images can be combined, then a corresponding abnormal combined twin image is generated, namely, the abnormal three-dimensional twin images can be combined into one, then the abnormal combined twin image is displayed, and the current abnormal data of the power transformation equipment can be comprehensively displayed through the abnormal combined twin image. In addition, when the images are combined, the method can be used for sorting according to the attributes, and the corresponding areas in each image are selected for combination, so that the consistency of the combined images can be ensured.
3. When the image is analyzed, different analysis modes are adopted according to different attributes, and whether the temperature is over-temperature or not is determined according to the pixel value aiming at the infrared image, so that whether the current state of the power transformation equipment is normal or not is judged; aiming at the white light image, the scheme can calculate an image comparison coefficient by combining the number of the pixel points, and judge whether the current state of the power transformation equipment is normal or not according to the image comparison coefficient; according to the scheme, the display ordering coefficient of each abnormal data is calculated by combining the multidimensional data, the higher the degree of abnormality is, the more the display is, and then the second digital twin space and the second display list are sent to the display end, so that the staff can be assisted to make a judgment in a targeted and rapid manner.
Drawings
FIG. 1 is a schematic diagram of a digital twinning module provided by an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a visual management and control platform for power transmission and transformation of a power grid according to an embodiment of the present invention.
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 only some embodiments of the present invention, not all embodiments. 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.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein.
It should be understood that, in various embodiments of the present invention, the sequence number of each process does not mean that the execution sequence of each process should be determined by its functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present invention, "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements that are expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present invention, "plurality" means two or more. "and/or" is merely an association relationship describing an association object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. "comprising A, B and C", "comprising A, B, C" means that all three of A, B, C comprise, "comprising A, B or C" means that one of the three comprises A, B, C, and "comprising A, B and/or C" means that any 1 or any 2 or 3 of the three comprises A, B, C.
It should be understood that in the present invention, "B corresponding to a", "a corresponding to B", or "B corresponding to a" means that B is associated with a, from which B can be determined. Determining B from a does not mean determining B from a alone, but may also determine B from a and/or other information. The matching of A and B is that the similarity of A and B is larger than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to detection" depending on the context.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
The embodiment of the invention provides a visual control method for power transmission and transformation of a power grid, which comprises the following steps of S1-S5:
s1, a server constructs a first digital twin space corresponding to a power grid power transmission and transformation system according to twin configuration data, wherein the first digital twin space comprises a plurality of digital twin modules, and equipment tags corresponding to the digital twin modules are counted to generate a tag list.
The twin configuration data may be input by a worker in advance, the twin configuration data corresponds to the power transmission and transformation system of the power grid, and after receiving the twin configuration data, the server of the scheme constructs a first digital twin space corresponding to the power transmission and transformation system of the power grid according to the twin configuration data. It will be appreciated that the grid power transmission and transformation system is different, as is the corresponding twinning configuration data.
The first digital twin space in the scheme comprises a plurality of digital twin modules, one digital twin module can correspond to one electric device, the electric device can be a transformer substation, an electric wire and the like, then a tag list is generated by counting device tags corresponding to each digital twin module, and the tag list can comprise the device tags of the plurality of electric devices.
The S1 comprises S11-S13:
s11, acquiring a three-dimensional twin image set in twin configuration data, equipment labels corresponding to each three-dimensional twin image set and label combination information, wherein the three-dimensional twin image set comprises a normal three-dimensional twin image and an abnormal three-dimensional twin image.
After the twin configuration data is received, the three-dimensional twin image sets, the equipment labels corresponding to the three-dimensional twin image sets and label combination information in the twin configuration data are extracted. Wherein, a three-dimensional twin image set may correspond to a power device, and the three-dimensional twin image set includes a normal three-dimensional twin image and an abnormal three-dimensional twin image of the power device. Taking whether the power equipment is over-heated or not as an example, the normal three-dimensional twin image is an infrared image without reddening, and the abnormal three-dimensional twin image is an infrared image with reddening; taking the example of whether the power equipment has a covering or not, the normal three-dimensional twin image is a white light image without any covering, and the abnormal three-dimensional twin image is a white light image covered with a preset picture (such as a small square).
Wherein, the left side of the power transformation equipment A is adjacent to the power transformation equipment B, and the right side is adjacent to the power transformation equipment C, and then the label combination information can be the power transformation equipment B-the power transformation equipment A-the power transformation equipment C.
S12, establishing digital twin modules corresponding to each three-dimensional twin image set, and carrying out sequencing combination on all the digital twin modules according to the label combination information, extracting normal three-dimensional twin images corresponding to each three-dimensional twin image set, so that each digital twin module displays the normal three-dimensional twin images, and a corresponding first digital twin space is obtained.
The scheme can establish a digital twin module corresponding to each three-dimensional twin image set, and the digital twin module is used for storing all images of the corresponding power transformation equipment.
After the digital twin modules are established, the method uses the tag combination information to perform sequencing and combination on all the digital twin modules, for example, taking the tag combination information as an example of the power transformation equipment B-the power transformation equipment A-the power transformation equipment C, and sequencing and combining all the digital twin modules to obtain a result which is the digital twin module corresponding to the power transformation equipment B, the digital twin module corresponding to the power transformation equipment A and the digital twin module corresponding to the power transformation equipment C.
After the digital twin module is built, the normal three-dimensional twin image corresponding to each three-dimensional twin image set is extracted, so that each digital twin module displays the normal three-dimensional twin image, and a corresponding first digital twin space is obtained.
It can be understood that the display data corresponding to the first digital twin space is normal, so as to represent an initial state of the power transmission and transformation system of the power grid.
S13, counting equipment labels of the three-dimensional twin image set corresponding to each digital twin module, and generating a label list.
The method can count the equipment labels of the three-dimensional twin image set corresponding to each digital twin module to generate a label list, and it can be understood that the label list comprises equipment labels corresponding to all equipment in a corresponding power system.
S2, the server generates a twin storage module corresponding to each digital twin module according to the tag list, divides the twin storage modules according to the attribute corresponding to each digital twin module to obtain corresponding twin storage units, and divides the twin storage units into an abnormal storage subunit and a normal storage subunit.
After the tag list is obtained, the twin storage module corresponding to each digital twin module is obtained according to the tag list, the twin storage module is used for storing image data of the corresponding power transformation equipment, the twin storage module is divided according to the attribute corresponding to each digital twin module to obtain a corresponding twin storage unit, and finally the twin storage unit is divided into an abnormal storage subunit and a normal storage subunit.
In order to separate normal images and abnormal images, the twin storage unit is further divided into an abnormal storage subunit and a normal storage subunit. It will be appreciated that when there is an abnormal image, the abnormal image may be stored to the abnormal storage subunit of the corresponding twin storage unit, and when there is a normal image, the normal image may be stored to the normal storage subunit of the corresponding twin storage unit.
In some embodiments, the S2 comprises S21-S23:
s21, dividing the twin storage modules according to the attributes corresponding to each digital twin module to obtain corresponding twin storage units, wherein the twin storage units are arranged in one-to-one correspondence with the attributes corresponding to the digital twin modules.
Wherein each digital twin module has an attribute corresponding to the digital twin module, the attribute is what type of image data the digital twin module is used for storing, for example, the attribute corresponding to the digital twin module is a white light image attribute, and then the type of the stored image data is a white light image; the attribute corresponding to the digital twin module is an infrared image attribute, and then the type of the stored image data is an infrared image.
Referring to fig. 1, the present solution can determine two corresponding twin storage units according to the white light image attribute and the infrared image attribute, which are respectively a twin storage unit 1 corresponding to the white light image attribute and a twin storage unit 2 corresponding to the infrared image attribute.
S22, according to the attribute corresponding to each abnormal three-dimensional twin image, the abnormal three-dimensional twin image and the corresponding abnormal storage subunit are correspondingly arranged.
According to the scheme, the abnormal three-dimensional twin images are correspondingly arranged with the corresponding abnormal storage subunits according to the attribute corresponding to each abnormal three-dimensional twin image. For example, the attribute corresponding to the abnormal three-dimensional twin image is a white light image attribute, so that the abnormal three-dimensional twin image is stored in an abnormal storage subunit in the twin storage unit 1 with the attribute being the white light image attribute, and classified storage of the image data is realized.
S23, if the plurality of abnormal storage subunits are judged, generating corresponding abnormal combined twin images according to the abnormal three-dimensional twin images of the plurality of abnormal storage subunits, and arranging the abnormal combined twin images corresponding to the plurality of abnormal storage subunits.
When the abnormal storage subunits are multiple, the abnormal images corresponding to the power transformation equipment are multiple, and the abnormal images have multiple attributes. For example, the current state of the power transformation device is over-temperature, and there is a cover at the same time, then the power transformation device corresponds to 2 abnormal storage subunits, wherein the attributes of the 2 abnormal storage subunits are different, one attribute corresponds to the white light image attribute, the other attribute corresponds to the infrared image attribute, one is an abnormal storage subunit for storing abnormal white light images, and one is an abnormal storage subunit for storing abnormal infrared images.
It can be understood that when there are a plurality of abnormal images corresponding to the power transformation device, the plurality of abnormal images cannot be displayed at one position at the same time, at this time, the scheme can combine the plurality of abnormal three-dimensional twin images, then generate a corresponding abnormal combined twin image, that is, the scheme can combine the plurality of abnormal three-dimensional twin images into one, then display the abnormal combined twin image, and the scheme can comprehensively display the current abnormal data of the power transformation device through the abnormal combined twin image.
Wherein S23 (if the plurality of abnormal storage subunits is determined, generating a corresponding abnormal combined twin image according to the abnormal three-dimensional twin images of the plurality of abnormal storage subunits, and setting the abnormal combined twin image to correspond to the plurality of abnormal storage subunits) includes S231-S234:
s231, arranging and combining the plurality of abnormal storage subunits to obtain a plurality of unit combination results, and extracting an abnormal three-dimensional twin image corresponding to the abnormal storage subunit of each unit combination result.
The method comprises the steps of arranging and combining the abnormal storage subunits A1 and A2 to obtain a unit combination result, and extracting an abnormal three-dimensional twin image corresponding to the abnormal storage subunit of each unit combination result, namely the abnormal white light image with the cover and the abnormal infrared image with the over temperature. Wherein, the covered abnormal white light image can be obtained by adding a preset picture, such as a white area, on the white light image of the device to show that the white light image of the device has the cover; the overtemperature abnormal infrared image can be obtained by adding a reddish mark on the original infrared image, so that the abnormal infrared image and the normal infrared image are different, and the overtemperature of the device is shown to a user.
It should be noted that, the foregoing examples are only exemplified by 2 types of abnormal phenomena, and in practical applications, the abnormal phenomena are not limited to the 2 types of abnormal phenomena, and may include, for example, whether the power transformation device is deformed, aged, and the like.
S232, generating a segmentation number according to the number of the abnormal three-dimensional twin images, and carrying out segmentation processing on the abnormal three-dimensional twin images according to the segmentation number to obtain three-dimensional image segmentation areas corresponding to each abnormal three-dimensional twin image.
For example, 2 abnormal three-dimensional twin images are respectively an abnormal white light image with a cover and an abnormal infrared image with over temperature, and then the number of divided parts is 2, and the scheme can divide the 2 abnormal three-dimensional twin images according to the number of divided parts (2 parts) to obtain a three-dimensional image dividing area corresponding to each abnormal three-dimensional twin image. That is, the abnormal white light image is divided into 2 parts, and the abnormal infrared image is also divided into 2 parts.
S233, carrying out label processing on all three-dimensional image segmentation areas of each abnormal three-dimensional twin image according to the positions of the three-dimensional image segmentation areas, so that each three-dimensional image segmentation area has a label corresponding to the three-dimensional image segmentation area.
According to the scheme, all three-dimensional image segmentation areas of each abnormal three-dimensional twin image are subjected to label processing according to the positions of the three-dimensional image segmentation areas, so that each three-dimensional image segmentation area has a label corresponding to the three-dimensional image segmentation area. For example, after the abnormal white light image is divided into 2 parts, there are 2 three-dimensional image dividing regions, which are a white light region 1 and a white light region 2, respectively; after the abnormal infrared image is divided into 2 parts, there are 2 three-dimensional image dividing regions, namely an infrared region 1 and an infrared region 2.
When the abnormal three-dimensional twin image is divided, equal division can be adopted, for example, when one abnormal three-dimensional twin image needs to be divided into 2 parts, the abnormal three-dimensional twin image can be uniformly divided into left and right 2 parts; when the abnormal three-dimensional twin image is required to be divided into 3 parts, the abnormal three-dimensional twin image is uniformly divided into 3 parts, for example, the center of the abnormal three-dimensional twin image can be determined, a dividing line is generated every 120 degrees, and the abnormal three-dimensional twin image is uniformly divided into 3 parts. The present solution is not limited in this regard.
S234, determining the label to be selected corresponding to the abnormal three-dimensional twin image of each abnormal storage subunit according to the attribute corresponding to each abnormal storage subunit in each unit combination result, and recombining the corresponding three-dimensional image segmentation area according to the label to be selected to obtain the abnormal combination twin image corresponding to each unit combination result.
According to the scheme, the attribute corresponding to each abnormal storage subunit in each unit combination result is obtained, then the label to be selected corresponding to the abnormal three-dimensional twin image of each abnormal storage subunit is determined according to the attribute, for example, the label selected by the abnormal white light image can be a white light area 1, the label selected by the abnormal infrared image can be an infrared area 2, and then the abnormal combination twin image corresponding to each unit combination result is obtained by recombining the white light area 1 and the infrared area 2.
In some embodiments, S234 (determining, according to the attribute corresponding to each abnormal storage subunit in each unit combination result, the label to be picked corresponding to the abnormal three-dimensional twin image of each abnormal storage subunit, and reorganizing the corresponding three-dimensional image segmentation area according to the label to be picked to obtain the abnormal combination twin image corresponding to each unit combination result) includes S2341-S2344:
s2341, comparing the attribute corresponding to each abnormal storage subunit in each unit combination result with a preset attribute corresponding table to obtain the ordering coefficient corresponding to each twin storage unit.
It should be noted that, each abnormal storage subunit has a corresponding attribute, and the scheme is provided with a preset attribute corresponding table, and the preset attribute corresponding table stores a corresponding relationship between attributes and ordering coefficients.
For example, when the attribute of the abnormal storage subunit is a white light image attribute, the corresponding ranking coefficient is 1, and when the attribute of the abnormal storage subunit is an infrared image attribute, the corresponding ranking coefficient is 2.
S2342, sorting all the abnormal storage subunits according to the sorting coefficient to obtain a storage unit sorting sequence, and sequentially adding sequence numbers to all the twin storage units in the storage unit sorting sequence to obtain the labels to be selected corresponding to the abnormal three-dimensional twin images.
After the ordering coefficients corresponding to the abnormal storage subunits are obtained, the method comprises the steps of ordering all the abnormal storage subunits by using the ordering coefficients to obtain a storage unit ordering sequence, and sequentially adding sequence numbers to all the twin storage units in the storage unit ordering sequence to obtain the labels to be selected corresponding to the abnormal three-dimensional twin images.
For example, if the sorting coefficient corresponding to the abnormal storage subunit storing the white light image is 1, the sequence number is added to be 1, and the corresponding label to be selected is white light area 1; and if the ordering coefficient corresponding to the abnormal storage subunit storing the infrared image is 2, adding a serial number of 2, and if the corresponding label to be selected is an infrared region 2.
S2343, determining the corresponding three-dimensional image segmentation area according to the label to be selected corresponding to each abnormal three-dimensional twin image.
The three-dimensional image segmentation area corresponding to each abnormal three-dimensional twin image is determined according to the label to be selected corresponding to each abnormal three-dimensional twin image, for example, the selection result is the white light area 1 and the infrared area 2 in the embodiment.
S2344, recombining and splicing all the determined three-dimensional image segmentation areas according to the sequence of the marks to be selected to obtain an abnormal combination twin image corresponding to each unit combination result.
According to the scheme, all the determined three-dimensional image segmentation areas are recombined and spliced according to the sequence of the marks to be selected, and the abnormal combination twin image corresponding to each unit combination result is obtained. For example, first, the white light region 1 is placed on the left of the anomalous combined twin image, and then the infrared region 2 is placed on the right of the anomalous combined twin image, combined into an anomalous combined twin image corresponding to each unit combination result.
It should be further noted that if the order is inconsistent, the infrared region 1 is selected, and the corresponding selected white light region should be the white light region 2, so as to stitch the infrared region 1 and the white light region 2 into a complete anomalous combined twin image. Similarly, when there are 3 images to be stitched, the images at the corresponding positions may be selected for combination stitching, for example, the first image selection area 1, the second image selection area 2, the third image selection area 3, or the first image selection area 2, the second image selection area 3, and the third image selection area 1.
And S3, the server identifies the power transmission and transformation image of the power grid sent by the acquisition device to obtain a corresponding current equipment label, a current image attribute and a current image result, and determines a corresponding abnormal storage subunit or a normal storage subunit according to the current equipment label, the current image attribute and the current image result.
The collecting device can be, for example, a flight collecting device, and the server in the scheme can identify the power grid power transmission and transformation image collected by the collecting device to obtain a corresponding current equipment tag, a current image attribute and a current image result, and then determine a corresponding abnormal storage subunit or a corresponding normal storage subunit by using the current equipment tag, the current image attribute and the current image result. And storing the corresponding images into the corresponding storage subunits.
In some embodiments, the S3 includes S31-S34:
s31, the server receives the power transmission and transformation image of the power grid and the position information corresponding to the power transmission and transformation image of the power grid, and the server identifies the position information according to a position relation table to obtain a corresponding current equipment label, wherein the position relation table has a corresponding relation between the position information and the equipment label.
The scheme is provided with a position relation corresponding table, the position relation table is internally provided with a corresponding relation between position information and equipment labels, a server can obtain the position information corresponding to the power transmission and transformation image of the power grid, and then the corresponding current equipment label is found by combining the position relation corresponding table.
S32, extracting an image attribute tag of the power transmission and transformation image of the power grid to obtain a current image attribute corresponding to the power transmission and transformation image of the power grid.
The scheme also can extract the image attribute label of the power transmission and transformation image of the power grid to obtain the current image attribute corresponding to the power transmission and transformation image of the power grid. The current image attribute is, for example, a white light image attribute, an infrared image attribute, or the like.
S33, identifying the power transmission and transformation image of the power grid to obtain a corresponding current image result, wherein the current image result is an image normal result or an image abnormal result;
the scheme can identify the power transmission and transformation image of the power grid to obtain a corresponding current image result, for example, an image normal result or an image abnormal result.
In some embodiments, S33 (the identifying the power transmission and transformation image of the power grid, and obtaining a corresponding current image result, where the current image result is an image normal result or an image abnormal result) includes S331-S334:
S331, if the power transmission and transformation image of the power grid is an infrared image, acquiring a pixel value of each pixel point in the infrared image, and determining temperature information of an area formed by the corresponding pixel point according to the pixel value of the pixel point.
When the power transmission and transformation image of the power grid is an infrared image, the scheme can acquire the pixel value of each pixel point in the infrared image, and then the temperature information of the area formed by the corresponding pixel point is determined according to the pixel value of the pixel point. It can be understood that the higher the temperature, the more red the corresponding region, and therefore, the pixel values are different, and the temperature information of the corresponding region is also different, which is not described herein.
S332, if the temperature information is in the temperature preset interval, the current image result is the image normal result of the infrared image, and if the temperature information is not in the temperature preset interval, the current image result is the image abnormal result of the infrared image.
It can be understood that if the temperature information is located in the temperature preset interval and the description is normal, the current image result is the image normal result of the infrared image; if the temperature information is not in the temperature preset interval, the current image result is an image abnormal result of the infrared image.
S333, if the power transmission and transformation image of the power grid is a white light image, a corresponding preset image is called according to the current equipment label, the white light image and the preset image are the same in size, and the white light image and the preset image are compared to obtain an image comparison coefficient;
when the power transmission and transformation image of the power grid is a white light image, the scheme can call a corresponding preset image by using the current equipment tag, and the white light image and the preset image have the same size.
In order to ensure that the sizes of the white light image and the preset image are the same, the image acquisition can be performed at the same position point when the image acquisition is performed, so that the sizes of the white light image and the preset image are the same.
In some embodiments, S333 (if the power transmission and transformation image of the power grid is a white light image, a corresponding preset image is called according to the current equipment tag, and the white light image is compared with the preset image to obtain an image comparison coefficient) includes S3331-S3334:
s3331, performing gray conversion processing on the white light image according to the RGB value of each pixel point in the white light image to obtain a first gray image, and performing gray conversion processing on the preset image according to the RGB value of each pixel point in the preset image to obtain a second gray image.
The method and the device can obtain the RGB value of each pixel point in the white light image, and combine the RGB value of each pixel point to perform gray conversion processing on the white light image to obtain the first gray image, wherein when gray conversion is performed, the R value, the G value and the B value in the RGB values can be used to obtain the converted gray value, and the description is omitted in the prior art. Similarly, the preset image is subjected to gray level conversion processing to obtain a second gray level image.
S3332, determining a first gray pixel point and a second gray pixel point with the same coordinates in the first gray image and the second gray image, and calculating the difference value of the first gray pixel point and the second gray pixel point with the same coordinates to obtain a gray difference value.
The method can determine a first gray pixel point and a second gray pixel point with the same coordinates in the first gray image and the second gray image, and then calculate the difference value of the first gray pixel point and the second gray pixel point with the same coordinates to obtain a gray difference value.
S3333, if the gray difference value is in the preset gray interval, counting the corresponding first gray pixel point and the second gray pixel point to obtain a first gray set, and if the gray difference value is not in the preset gray interval, counting the corresponding first gray pixel point and the second gray pixel point to obtain a second gray set.
According to the scheme, statistics is carried out on a first gray pixel point and a second gray pixel point, the gray difference value of which is located in a preset gray interval, so that a first gray set is obtained, and then statistics is carried out on the first gray pixel point and the second gray pixel point, the gray difference value of which is not located in the preset gray interval, so that a second gray set is obtained.
It can be appreciated that the gray scale differences of the pixels in the first gray scale set are smaller and closer, and the gray scale differences of the pixels in the second gray scale set are larger.
S3334, calculating according to the number of the first gray scale pixel points and the second gray scale pixel points in the first gray scale set and the second gray scale set to obtain an image comparison coefficient.
The method can calculate the number of the first gray scale pixel points and the second gray scale pixel points in the first gray scale set and the second gray scale set and then combine the number to obtain the image comparison coefficient.
Wherein S3334 (the calculating according to the number of the first gray scale pixels and the second gray scale pixels in the first gray scale set and the second gray scale set to obtain the image comparison coefficient) includes:
counting the number of the first gray pixel points and the second gray pixel points in the first gray set to obtain the number of the first pixel points, and counting the number of the first gray pixel points and the second gray pixel points in the second gray set to obtain the number of the second pixel points. It can be understood that the larger the number of the first pixels, the larger the consistency of the two images, and the larger the corresponding image comparison coefficient.
The image alignment coefficient is calculated by the following formula,
Figure BDA0004037132440000171
wherein x is an image comparison coefficient, s 1 S is the first pixel number 2 K is a reference weight value, and u is a preset coefficient value for the number of second pixels.
In the above formula, s 1 +s 2 Representing the sum of the number of first pixels and the number of second pixels, the number of first pixels s 1 The larger the corresponding image comparison coefficient is, the larger the similarity of the two pictures is; wherein s is 1 +s 2 The larger the number of the integral pixel points is, and the larger the error is when the image comparison coefficient is calculated, in the scheme, in order to compensate the image comparison coefficient, the weight is set for adjustment, and s 1 +s 2 The larger the size of the container,
Figure BDA0004037132440000172
the larger the reference weight k is, so that the compensation of the image comparison coefficient is realized. The reference weight value k and the preset coefficient value u may be preset by a worker.
S334, if the image comparison coefficient is greater than or equal to a preset coefficient, the current image result is an image normal result of the white light image, and if the image comparison coefficient is less than the preset coefficient, the current image result is an image abnormal result of the white light image.
After the image comparison coefficient is obtained, the image comparison coefficient is compared with the preset coefficient, if the image comparison coefficient is larger than or equal to the preset coefficient, the similarity is higher, the current image result of the scheme is the normal image result of the white light image, and if the image comparison coefficient is smaller than the preset coefficient, the similarity is lower, the current image result of the scheme is the abnormal image result of the white light image.
S34, determining a corresponding twin storage module according to the current equipment label, determining a corresponding twin storage unit according to the image attribute label, and determining an abnormal storage subunit or a normal storage subunit according to the image normal result or the image abnormal result.
Referring to fig. 1, the present solution determines a corresponding twin storage module according to a current device tag, then determines a corresponding twin storage unit according to an image attribute tag, determines an abnormal storage subunit or a normal storage subunit according to an image normal result or an image abnormal result, and finally stores a corresponding image into a corresponding unit.
S4, the server generates a first display mode or a second display mode corresponding to each digital twin module according to all abnormal storage subunits and/or normal storage subunits corresponding to each digital twin module, and controls all digital twin modules in the first digital twin space to be displayed according to the first display mode or the second display mode, so that a second digital twin space is obtained.
The server of the scheme can display the image data in the normal storage subunit in a first display mode, and display the image data in the abnormal storage subunit in a second display mode. Therefore, all the digital twin modules in the first digital twin space are displayed according to the first display mode or the second display mode, and the second digital twin space is obtained.
It should be noted that, the second digital twin space is different from the first digital twin space in that all data displayed in the first digital twin space is initial normal image data, and the image data displayed in the second digital twin space has normal image data and/or abnormal image data.
In some embodiments, the S4 includes S41-S43:
s41, if the twin storage units of the digital twin modules store the power transmission and transformation images of the power grid through the normal storage sub units, determining normal three-dimensional twin images corresponding to the digital twin modules, and taking the normal three-dimensional twin images as a first display mode corresponding to the corresponding digital twin modules.
It can be understood that if the twin storage units of the digital twin modules store the power transmission and transformation images of the power grid through the normal storage sub-units, and all image data are normal, the scheme can determine the normal three-dimensional twin images corresponding to the digital twin modules, and display the normal three-dimensional twin images in the first display mode by taking the normal three-dimensional twin images as the first display mode corresponding to the corresponding digital twin modules.
S42, if the twin storage unit of the digital twin module stores the power transmission and transformation image of the power grid through the abnormal storage subunit, determining a corresponding abnormal three-dimensional twin image or an abnormal combined twin image according to the abnormal storage subunit, and taking the abnormal three-dimensional twin image or the abnormal combined twin image as a second display mode corresponding to the corresponding digital twin module.
It can be understood that if the twin storage unit of the digital twin module stores the power transmission and transformation image of the power grid through the anomaly storage subunit, and the image data is anomalous, the method can determine a corresponding anomalous three-dimensional twin image or an anomalous combined twin image, and the anomalous three-dimensional twin image or the anomalous combined twin image is used as a second display mode corresponding to the corresponding digital twin module.
Wherein S42 (if the twin storage unit of the digital twin module stores the power transmission and transformation image of the power grid through the anomaly storage subunit, determining a corresponding anomaly three-dimensional twin image or an anomaly combination twin image according to the anomaly storage subunit, and taking the anomaly three-dimensional twin image or the anomaly combination twin image as a second display mode corresponding to the corresponding digital twin module) includes S421-S422:
s421, if the power transmission and transformation image of the power grid is stored through the 1 abnormal storage subunit, the abnormal three-dimensional twin image corresponding to the abnormal storage subunit is called as a second display mode corresponding to the corresponding digital twin module.
It can be understood that if the power grid power transmission and transformation image is stored by the 1 abnormal storage subunit, it is indicated that the corresponding power transformation device has only one abnormal condition of one attribute, such as covering (white light image attribute) or over-temperature (infrared image attribute), at this time, the scheme invokes the abnormal three-dimensional twin image (such as white light image with covering or over-temperature infrared image) corresponding to the abnormal storage subunit as the second display mode corresponding to the corresponding digital twin module.
S422, if the power transmission and transformation images of the power grid are stored through the plurality of abnormal storage subunits, the plurality of abnormal storage subunits are arranged and combined to obtain a current unit combination result, and the abnormal combination twin image corresponding to the unit combination result is called as a second display mode corresponding to the corresponding digital twin module.
It can be understood that if the power grid power transmission and transformation image is stored by the plurality of abnormal storage subunits, it is indicated that the corresponding power transformation equipment has at least two abnormal conditions of attributes, such as covering and over-temperature, at this time, the scheme can perform permutation and combination on the plurality of abnormal storage subunits to obtain the current unit combination result, and call the abnormal combination twin image corresponding to the unit combination result as the second display mode corresponding to the corresponding digital twin module.
And S43, if any digital twin module is judged to be in the second display mode, obtaining a second digital twin space according to all the digital twin modules.
If any digital twin module is judged to be in the second display mode, the second digital twin space can be obtained according to all the digital twin modules.
S5, extracting all the digital twin modules with the second display mode to generate a first display list, sequencing the digital twin modules in the first display list to obtain a second display list, and sending the second digital twin space and the second display list to a display end.
According to the scheme, all digital twin modules with the second display mode are extracted to generate a first display list, and it can be understood that the digital twin modules corresponding to the abnormal data are in the first display list.
In some embodiments, the S5 comprises S51-S53:
s51, when judging that the digital twin modules with the second display modes exist, counting all the digital twin modules with the second display modes to obtain a first display list.
At this time, all the digital twin modules with the second display mode are stored in the first display list, and at this time, the ordering is not performed yet.
S52, obtaining the abnormal types of the abnormal storage subunits, the abnormal unit number of the abnormal storage subunits and the normal unit number of the normal storage subunits of each digital twin module in the first display list, and calculating according to the abnormal types, the abnormal unit number and the normal unit number to obtain a display ordering coefficient.
The method can obtain the attribute types of the abnormal storage subunits of each digital twin module, the number of the abnormal units of the abnormal storage subunits and the number of the normal units of the normal storage subunits in the first display list, and then comprehensively calculate the display ordering coefficient by combining the multidimensional data.
The display ranking factor is calculated by the following formula,
Figure BDA0004037132440000201
wherein y is a display ordering coefficient, r 1 For the number of abnormal units, h is a number weight value, g p The weight of the abnormal type of the p-th abnormal storage subunit, n is the upper limit value of the number of the abnormal storage subunits, and r 2 Is the normal number of cells.
In the above formula, r 1 +r 2 Representing the sum of the number of abnormal units and the number of normal units; r is (r) 1 H represents an anomaly coefficient for the anomaly unit number dimension,the larger the number of abnormal units is, the higher the corresponding abnormal coefficient is;
Figure BDA0004037132440000202
the sum of the weights of the abnormal types representing the abnormal storage subunit, for example, a power transformation device has both the covering abnormal type and the over-temperature abnormal type, is then the sum of 2 weights, wherein the weights of each abnormal type are different, for example, the weight corresponding to the covering abnormal type can be larger than the weight corresponding to the over-temperature abnormal type, which can be preset by a staff.
S53, carrying out descending order sequencing on the digital twin modules in the first display list according to the display sequencing coefficient to obtain a second display list, and sending the second digital twin space and the second display list to a display end.
It will be appreciated that the greater the display ranking factor y, the higher the corresponding degree of anomaly. After the display ordering coefficient is obtained, the digital twin modules in the first display list are subjected to descending order ordering by using the display ordering coefficient to obtain a second display list, the higher the abnormality degree is, the more front the display is, and then the second digital twin space and the second display list are sent to the display end, so that the staff can be assisted to quickly judge in a targeted manner.
Referring to fig. 2, a schematic structural diagram of a power transmission and transformation visualization management and control platform for a power grid according to an embodiment of the present invention includes:
the tag module is used for constructing a first digital twin space corresponding to the power grid transmission and transformation system according to the twin configuration data by the server, wherein the first digital twin space comprises a plurality of digital twin modules, and equipment tags corresponding to each digital twin module are counted to generate a tag list;
The dividing module is used for generating a twin storage module corresponding to each digital twin module according to the tag list, dividing the twin storage module according to the attribute corresponding to each digital twin module to obtain a corresponding twin storage unit, and dividing the twin storage unit into an abnormal storage subunit and a normal storage subunit;
the determining module is used for identifying the power transmission and transformation image of the power grid sent by the acquisition device by the server to obtain a corresponding current equipment tag, a current image attribute and a current image result, and determining a corresponding abnormal storage subunit or a normal storage subunit according to the current equipment tag, the current image attribute and the current image result;
the display module is used for generating a first display mode or a second display mode corresponding to each digital twin module according to all abnormal storage subunits and/or normal storage subunits corresponding to each digital twin module by the server, and controlling all the digital twin modules in the first digital twin space to display according to the first display mode or the second display mode so as to obtain a second digital twin space;
the transmission module is used for extracting all the digital twin modules with the second display mode to generate a first display list, sequencing the digital twin modules in the first display list to obtain a second display list, and sending the second digital twin space and the second display list to the display end.
The present invention also provides a storage medium having stored therein a computer program for implementing the methods provided by the various embodiments described above when executed by a processor.
The storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media can be any available media that can be accessed by a general purpose or special purpose computer. For example, a storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC for short). In addition, the ASIC may reside in a user device. The processor and the storage medium may reside as discrete components in a communication device. The storage medium may be read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tape, floppy disk, optical data storage device, etc.
The present invention also provides a program product comprising execution instructions stored in a storage medium. The at least one processor of the device may read the execution instructions from the storage medium, the execution instructions being executed by the at least one processor to cause the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the terminal or the server, it should be understood that the processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.

Claims (10)

1. The visualized control method for the power transmission and transformation of the power grid is characterized by comprising the following steps of:
s1, a server constructs a first digital twin space corresponding to a power grid power transmission and transformation system according to twin configuration data, wherein the first digital twin space comprises a plurality of digital twin modules, and equipment tags corresponding to the digital twin modules are counted to generate a tag list;
s2, the server generates a twin storage module corresponding to each digital twin module according to the tag list, divides the twin storage module according to the attribute corresponding to each digital twin module to obtain a corresponding twin storage unit, and divides the twin storage unit into an abnormal storage subunit and a normal storage subunit;
s3, the server identifies the power transmission and transformation image of the power grid sent by the acquisition device to obtain a corresponding current equipment tag, a current image attribute and a current image result, and determines a corresponding abnormal storage subunit or a normal storage subunit according to the current equipment tag, the current image attribute and the current image result;
s4, the server generates a first display mode or a second display mode corresponding to each digital twin module according to all abnormal storage subunits and/or normal storage subunits corresponding to each digital twin module, and controls all digital twin modules in the first digital twin space to be displayed according to the first display mode or the second display mode, so that a second digital twin space is obtained;
S5, extracting all the digital twin modules with the second display mode to generate a first display list, sequencing the digital twin modules in the first display list to obtain a second display list, and sending the second digital twin space and the second display list to a display end.
2. The visualized power transmission and transformation management and control method of the power grid according to claim 1, wherein,
the S1 comprises the following steps:
acquiring a three-dimensional twin image set in twin configuration data, equipment labels corresponding to each three-dimensional twin image set and label combination information, wherein the three-dimensional twin image set comprises a normal three-dimensional twin image and an abnormal three-dimensional twin image;
establishing digital twin modules corresponding to each three-dimensional twin image set, sequencing and combining all the digital twin modules according to the label combination information, extracting normal three-dimensional twin images corresponding to each three-dimensional twin image set, and enabling each digital twin module to display the normal three-dimensional twin images to obtain a corresponding first digital twin space;
and counting equipment labels of the three-dimensional twin image set corresponding to each digital twin module, and generating a label list.
3. The visualized power transmission and transformation management and control method of the power grid according to claim 2, wherein,
The step S2 comprises the following steps:
dividing the twin storage modules according to the attribute corresponding to each digital twin module to obtain corresponding twin storage units, wherein the twin storage units are arranged in one-to-one correspondence with the attribute corresponding to the digital twin module;
according to the attribute corresponding to each abnormal three-dimensional twin image, setting the abnormal three-dimensional twin image and the corresponding abnormal storage subunit correspondingly;
if the plurality of the abnormal storage subunits is judged, generating corresponding abnormal combined twin images according to the abnormal three-dimensional twin images of the plurality of the abnormal storage subunits, and correspondingly setting the abnormal combined twin images and the plurality of the abnormal storage subunits.
4. The visualized power transmission and transformation management and control method of the power grid according to claim 3, wherein,
if the plurality of abnormal storage subunits is judged, generating a corresponding abnormal combined twin image according to the abnormal three-dimensional twin images of the plurality of abnormal storage subunits, and correspondingly setting the abnormal combined twin image and the plurality of abnormal storage subunits, wherein the method comprises the following steps:
the method comprises the steps of arranging and combining a plurality of abnormal storage subunits to obtain a plurality of unit combination results, and extracting an abnormal three-dimensional twin image corresponding to the abnormal storage subunit of each unit combination result;
Generating a segmentation number according to the number of the abnormal three-dimensional twin images, and carrying out segmentation processing on the abnormal three-dimensional twin images according to the segmentation number to obtain a three-dimensional image segmentation area corresponding to each abnormal three-dimensional twin image;
carrying out label processing on all three-dimensional image segmentation areas of each abnormal three-dimensional twin image according to the positions of the three-dimensional image segmentation areas, so that each three-dimensional image segmentation area has a label corresponding to the three-dimensional image segmentation area;
determining a label to be selected corresponding to the abnormal three-dimensional twin image of each abnormal storage subunit according to the attribute corresponding to each abnormal storage subunit in each unit combination result, and recombining the corresponding three-dimensional image segmentation area according to the label to be selected to obtain the abnormal combination twin image corresponding to each unit combination result.
5. The visualized power transmission and transformation management and control method of the power grid according to claim 4, wherein,
determining a label to be selected corresponding to the abnormal three-dimensional twin image of each abnormal storage subunit according to the attribute corresponding to each abnormal storage subunit in each unit combination result, and reorganizing the corresponding three-dimensional image segmentation area according to the label to be selected to obtain the abnormal combination twin image corresponding to each unit combination result, wherein the method comprises the following steps:
Comparing the attribute corresponding to each abnormal storage subunit in each unit combination result with a preset attribute corresponding table to obtain a sequencing coefficient corresponding to each abnormal storage subunit;
sorting all the abnormal storage subunits according to the sorting coefficient to obtain a storage unit sorting sequence, and sequentially adding sequence numbers to all the abnormal storage subunits in the storage unit sorting sequence to obtain a label to be selected corresponding to the abnormal three-dimensional twin image;
determining a corresponding three-dimensional image segmentation area according to the label to be selected corresponding to each abnormal three-dimensional twin image;
and (3) carrying out recombination and splicing on all the determined three-dimensional image segmentation areas according to the sequence of the marks to be selected to obtain an abnormal combined twin image corresponding to each unit combination result.
6. The visual control method for power transmission and transformation of a power grid according to claim 5, wherein,
the step S3 comprises the following steps:
the method comprises the steps that a server receives a power transmission and transformation image of a power grid and position information corresponding to the power transmission and transformation image of the power grid, which are sent by a collecting device, and the server identifies the position information according to a position relation table to obtain a corresponding current equipment label, wherein the position relation table has a corresponding relation between the position information and the equipment label;
Extracting an image attribute tag of the power grid power transmission and transformation image to obtain a current image attribute corresponding to the power grid power transmission and transformation image;
identifying the power transmission and transformation image of the power grid to obtain a corresponding current image result, wherein the current image result is an image normal result or an image abnormal result, and the method comprises the following steps of:
if the power grid power transmission and transformation image is an infrared image, acquiring a pixel value of each pixel point in the infrared image, and determining temperature information of an area formed by the corresponding pixel point according to the pixel value of the pixel point;
if the temperature information is located in the temperature preset interval, the current image result is an image normal result of the infrared image, and if the temperature information is not located in the temperature preset interval, the current image result is an image abnormal result of the infrared image;
if the power grid power transmission and transformation image is a white light image, a corresponding preset image is called according to the current equipment label, the white light image and the preset image are the same in size, and the white light image and the preset image are compared to obtain an image comparison coefficient;
if the image comparison coefficient is larger than or equal to a preset coefficient, the current image result is an image normal result of the white light image, and if the image comparison coefficient is smaller than the preset coefficient, the current image result is an image abnormal result of the white light image;
And determining a corresponding twin storage module according to the current equipment tag, determining a corresponding twin storage unit according to the image attribute tag, and determining an abnormal storage subunit or a normal storage subunit according to the image normal result or the image abnormal result.
7. The visualized power transmission and transformation management and control method of the power grid according to claim 6, wherein,
if the power transmission and transformation image of the power grid is a white light image, a corresponding preset image is called according to a current equipment label, and the white light image is compared with the preset image to obtain an image comparison coefficient, wherein the method comprises the following steps:
performing gray conversion processing on the white light image according to the RGB value of each pixel point in the white light image to obtain a first gray image, and performing gray conversion processing on the preset image according to the RGB value of each pixel point in the preset image to obtain a second gray image;
determining a first gray pixel point and a second gray pixel point which have the same coordinates in the first gray image and the second gray image, and calculating the difference value of the first gray pixel point and the second gray pixel point with the same coordinates to obtain a gray difference value;
if the gray difference value is in the preset gray interval, counting corresponding first gray pixel points and second gray pixel points to obtain a first gray set, and if the gray difference value is not in the preset gray interval, counting corresponding first gray pixel points and second gray pixel points to obtain a second gray set;
Calculating according to the number of the first gray scale pixel points and the second gray scale pixel points in the first gray scale set and the second gray scale set to obtain an image comparison coefficient, wherein the image comparison coefficient comprises the following components:
counting the number of first gray pixel points and second gray pixel points in a first gray set to obtain the number of first pixel points, and counting the number of first gray pixel points and second gray pixel points in a second gray set to obtain the number of second pixel points;
the image alignment coefficient is calculated by the following formula,
Figure FDA0004037132430000041
wherein x is an image comparison coefficient, s 1 S is the first pixel number 2 K is a reference weight value, and u is a preset coefficient value for the number of second pixels.
8. The visualized power transmission and transformation management and control method of the power grid according to claim 7, wherein,
the step S4 comprises the following steps:
if the twin storage units of the digital twin modules store the power grid power transmission and transformation images through the normal storage sub units, determining normal three-dimensional twin images corresponding to the digital twin modules, and taking the normal three-dimensional twin images as a first display mode corresponding to the corresponding digital twin modules;
if the twin storage unit of the digital twin module stores the power transmission and transformation image of the power grid through the abnormal storage subunit, determining a corresponding abnormal three-dimensional twin image or an abnormal combined twin image according to the abnormal storage subunit, and taking the abnormal three-dimensional twin image or the abnormal combined twin image as a second display mode corresponding to the corresponding digital twin module, wherein the second display mode comprises the following steps:
If the power transmission and transformation images of the power grid are stored through the 1 abnormal storage subunit, invoking the abnormal three-dimensional twin image corresponding to the abnormal storage subunit as a second display mode corresponding to the corresponding digital twin module;
if the power transmission and transformation images of the power grid are stored through a plurality of abnormal storage subunits, the plurality of abnormal storage subunits are arranged and combined to obtain a current unit combination result, and an abnormal combination twin image corresponding to the unit combination result is called as a second display mode corresponding to the corresponding digital twin module;
and if any digital twin module is judged to be in the second display mode, obtaining a second digital twin space according to all the digital twin modules.
9. The visualized power transmission and transformation management and control method of the power grid according to claim 8, wherein,
the step S5 comprises the following steps:
when judging that the digital twin modules with the second display modes exist, counting all the digital twin modules with the second display modes to obtain a first display list;
obtaining the abnormal type of the abnormal storage sub-units, the abnormal unit number of the abnormal storage sub-units and the normal unit number of the normal storage sub-units of each digital twin module in the first display list, calculating according to the abnormal type, the abnormal unit number and the normal unit number to obtain a display ordering coefficient, calculating the display ordering coefficient by the following formula,
Figure FDA0004037132430000051
Wherein y is a display ordering coefficient, r 1 For the number of abnormal units, h is a number weight value, g p The weight of the abnormal type of the p-th abnormal storage subunit, n is the upper limit value of the number of the abnormal storage subunits, and r 2 Is the normal number of units;
and carrying out descending order sequencing on the digital twin modules in the first display list according to the display sequencing coefficient to obtain a second display list, and sending the second digital twin space and the second display list to a display end.
10. Power transmission and transformation visual management and control platform, its characterized in that includes:
the system comprises a tag module, a server and a power grid power transmission and transformation system, wherein the tag module is used for constructing a first digital twin space corresponding to the power grid power transmission and transformation system according to twin configuration data, the first digital twin space comprises a plurality of digital twin modules, and a tag setting list corresponding to each digital twin module is counted to generate a tag list;
the dividing module is used for generating a twin storage module corresponding to each digital twin module according to the tag list, dividing the twin storage module according to the attribute corresponding to each digital twin module to obtain a corresponding twin storage unit, and dividing the twin storage unit into an abnormal storage subunit and a normal storage subunit;
The determining module is used for identifying the power transmission and transformation image of the power grid sent by the acquisition device by the server to obtain a corresponding current equipment tag, a current image attribute and a current image result, and determining a corresponding abnormal storage subunit or a normal storage subunit according to the current equipment tag, the current image attribute and the current image result;
the display module is used for generating a first display mode or a second display mode corresponding to each digital twin module according to all abnormal storage subunits and/or normal storage subunits corresponding to each digital twin module by the server, and controlling all the digital twin modules in the first digital twin space to display according to the first display mode or the second display mode so as to obtain a second digital twin space;
the transmission module is used for extracting all the digital twin modules with the second display mode to generate a first display list, sequencing the digital twin modules in the first display list to obtain a second display list, and sending the second digital twin space and the second display list to the display end.
CN202310009017.2A 2023-01-04 2023-01-04 Visual control method and platform for power transmission and transformation of power grid Active CN116128320B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310009017.2A CN116128320B (en) 2023-01-04 2023-01-04 Visual control method and platform for power transmission and transformation of power grid

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310009017.2A CN116128320B (en) 2023-01-04 2023-01-04 Visual control method and platform for power transmission and transformation of power grid

Publications (2)

Publication Number Publication Date
CN116128320A true CN116128320A (en) 2023-05-16
CN116128320B CN116128320B (en) 2023-08-08

Family

ID=86304079

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310009017.2A Active CN116128320B (en) 2023-01-04 2023-01-04 Visual control method and platform for power transmission and transformation of power grid

Country Status (1)

Country Link
CN (1) CN116128320B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116481676A (en) * 2023-06-21 2023-07-25 东阳市光明电力建设有限公司 Heating and temperature measuring method for electrical equipment connector
CN116882070A (en) * 2023-09-01 2023-10-13 中汽研汽车工业工程(天津)有限公司 Industrial digital twin management system for whole vehicle manufacturing
CN116882116A (en) * 2023-09-07 2023-10-13 北京世纪黄龙技术有限公司 Digital twin heating space division method, calculation method, device and storage medium
CN117421907A (en) * 2023-10-30 2024-01-19 安徽省中易环保新材料有限公司 Household garbage incineration flue gas purification system

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010097071A1 (en) * 2009-02-27 2010-09-02 Navigon Ag Method, system and computer program product for the three-dimensional representation of buildings on a graphical display device of a navigation apparatus
WO2019067471A2 (en) * 2017-09-27 2019-04-04 Arconic Inc. Systems and methods for conducting in-situ monitoring in additive manufacture
CN111651858A (en) * 2020-04-27 2020-09-11 平安城市建设科技(深圳)有限公司 Digital twin model generation method, device and computer readable storage medium
WO2021108680A1 (en) * 2019-11-25 2021-06-03 Strong Force Iot Portfolio 2016, Llc Intelligent vibration digital twin systems and methods for industrial environments
CN113627005A (en) * 2021-08-02 2021-11-09 成都视安创新科技有限公司 Intelligent visual monitoring method
CN113988328A (en) * 2021-10-21 2022-01-28 浪潮卓数大数据产业发展有限公司 Early warning event interaction method and device based on large visual screen
CN114545969A (en) * 2022-02-23 2022-05-27 平顶山天安煤业股份有限公司 Intelligent power grid inspection method and system based on digital twins
CN114611235A (en) * 2022-03-09 2022-06-10 北自所(北京)科技发展股份有限公司 Digital twinning chemical fiber filament winding workshop equipment management and control system and method
CN115293508A (en) * 2022-07-05 2022-11-04 国网江苏省电力有限公司南通市通州区供电分公司 Visual optical cable running state monitoring method and system
US20220383564A1 (en) * 2020-03-13 2022-12-01 Fujifilm Corporation Image generation device, image generation program, learning device, learning program, image processing device, and image processing program
KR102477088B1 (en) * 2022-04-07 2022-12-14 세이지리서치 주식회사 A method for adjusting an inspection area and a device for adjusting an inspection area

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010097071A1 (en) * 2009-02-27 2010-09-02 Navigon Ag Method, system and computer program product for the three-dimensional representation of buildings on a graphical display device of a navigation apparatus
WO2019067471A2 (en) * 2017-09-27 2019-04-04 Arconic Inc. Systems and methods for conducting in-situ monitoring in additive manufacture
WO2021108680A1 (en) * 2019-11-25 2021-06-03 Strong Force Iot Portfolio 2016, Llc Intelligent vibration digital twin systems and methods for industrial environments
US20220383564A1 (en) * 2020-03-13 2022-12-01 Fujifilm Corporation Image generation device, image generation program, learning device, learning program, image processing device, and image processing program
CN111651858A (en) * 2020-04-27 2020-09-11 平安城市建设科技(深圳)有限公司 Digital twin model generation method, device and computer readable storage medium
CN113627005A (en) * 2021-08-02 2021-11-09 成都视安创新科技有限公司 Intelligent visual monitoring method
CN113988328A (en) * 2021-10-21 2022-01-28 浪潮卓数大数据产业发展有限公司 Early warning event interaction method and device based on large visual screen
CN114545969A (en) * 2022-02-23 2022-05-27 平顶山天安煤业股份有限公司 Intelligent power grid inspection method and system based on digital twins
CN114611235A (en) * 2022-03-09 2022-06-10 北自所(北京)科技发展股份有限公司 Digital twinning chemical fiber filament winding workshop equipment management and control system and method
KR102477088B1 (en) * 2022-04-07 2022-12-14 세이지리서치 주식회사 A method for adjusting an inspection area and a device for adjusting an inspection area
CN115293508A (en) * 2022-07-05 2022-11-04 国网江苏省电力有限公司南通市通州区供电分公司 Visual optical cable running state monitoring method and system

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116481676A (en) * 2023-06-21 2023-07-25 东阳市光明电力建设有限公司 Heating and temperature measuring method for electrical equipment connector
CN116481676B (en) * 2023-06-21 2023-10-20 东阳市光明电力建设有限公司 Heating and temperature measuring method for electrical equipment connector
CN116882070A (en) * 2023-09-01 2023-10-13 中汽研汽车工业工程(天津)有限公司 Industrial digital twin management system for whole vehicle manufacturing
CN116882070B (en) * 2023-09-01 2023-11-14 中汽研汽车工业工程(天津)有限公司 Industrial digital twin management system for whole vehicle manufacturing
CN116882116A (en) * 2023-09-07 2023-10-13 北京世纪黄龙技术有限公司 Digital twin heating space division method, calculation method, device and storage medium
CN116882116B (en) * 2023-09-07 2024-02-02 北京世纪黄龙技术有限公司 Digital twin heating space division method, calculation method, device and storage medium
CN117421907A (en) * 2023-10-30 2024-01-19 安徽省中易环保新材料有限公司 Household garbage incineration flue gas purification system
CN117421907B (en) * 2023-10-30 2024-05-24 安徽省中易环保新材料有限公司 Household garbage incineration flue gas purification system

Also Published As

Publication number Publication date
CN116128320B (en) 2023-08-08

Similar Documents

Publication Publication Date Title
CN116128320B (en) Visual control method and platform for power transmission and transformation of power grid
US8751969B2 (en) Information processor, processing method and program for displaying a virtual image
US20230376895A1 (en) Information processing apparatus, information processing system, control method, and program
US9721532B2 (en) Color chart detection apparatus, color chart detection method, and color chart detection computer program
CN108898185A (en) Method and apparatus for generating image recognition model
US11380284B2 (en) Color space mapping method, equipment, computer readable storage medium, and device
CN110598715A (en) Image recognition method and device, computer equipment and readable storage medium
WO2022019654A1 (en) Spatial image analysis-based color scheme recommendation apparatus and method
WO2023151299A1 (en) Data generation method and apparatus, device, and storage medium
CN113010805A (en) Index data processing method, device, equipment and storage medium
CN111401363A (en) Frame number image generation method and device, computer equipment and storage medium
US11748787B2 (en) Analysis method and system for the item on the supermarket shelf
CN114782769A (en) Training sample generation method, device and system and target object detection method
CN116958908B (en) Monitoring data processing method and system
CN110930386A (en) Image processing method, device, equipment and storage medium
CN114066823A (en) Method for detecting color block and related product thereof
CN115241980B (en) System and method for checking power supply radius of distribution network area based on unmanned aerial vehicle front end identification
CN113808107B (en) Image recommendation method, device, electronic equipment and storage medium
CN111047731A (en) AR technology-based telecommunication room inspection method and system
CN116597246A (en) Model training method, target detection method, electronic device and storage medium
CN113191336B (en) Electric power hidden danger identification method and system based on image identification
CN113283621B (en) Parameter processing method based on virtual prism coordinate transformation
CN115456984A (en) High-speed image recognition defect detection system based on two-dimensional code
CN113191376A (en) Image processing method, image processing device, electronic equipment and readable storage medium
CN117975225B (en) Power supply information on-site analysis method based on intelligent fusion terminal of distribution transformer

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant