CN116680867A - Transformer visual fault diagnosis method and system based on refined three-dimensional model - Google Patents
Transformer visual fault diagnosis method and system based on refined three-dimensional model Download PDFInfo
- Publication number
- CN116680867A CN116680867A CN202310472697.1A CN202310472697A CN116680867A CN 116680867 A CN116680867 A CN 116680867A CN 202310472697 A CN202310472697 A CN 202310472697A CN 116680867 A CN116680867 A CN 116680867A
- Authority
- CN
- China
- Prior art keywords
- transformer
- refined
- dimensional model
- fault diagnosis
- visual
- 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.)
- Pending
Links
- 238000003745 diagnosis Methods 0.000 title claims abstract description 124
- 230000000007 visual effect Effects 0.000 title claims abstract description 110
- 238000000034 method Methods 0.000 title claims abstract description 56
- 238000012545 processing Methods 0.000 claims abstract description 48
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 39
- 238000013461 design Methods 0.000 claims abstract description 22
- 238000012423 maintenance Methods 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 10
- 238000005259 measurement Methods 0.000 claims description 10
- 238000010276 construction Methods 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 6
- 238000009826 distribution Methods 0.000 claims description 6
- 238000001914 filtration Methods 0.000 claims description 6
- 238000013139 quantization Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000004040 coloring Methods 0.000 claims description 3
- 238000009877 rendering Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 description 5
- 238000011835 investigation Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 4
- 239000000463 material Substances 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/04—Power grid distribution networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
-
- Y—GENERAL 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Computer Graphics (AREA)
- Software Systems (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Physics (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
Abstract
The application discloses a transformer visual fault diagnosis method based on a refined three-dimensional model, which comprises the steps of obtaining physical data and operation data of a target transformer; establishing a transformer refined three-dimensional model according to the physical data of the target transformer, and adding a fault processing instruction library and a fault diagnosis algorithm library into the transformer refined three-dimensional model; performing visual design on the transformer refined three-dimensional model of the fault processing guide library and the fault diagnosis algorithm library to obtain a transformer refined three-dimensional model with a visual interface; according to the operation data of the target transformer, performing real-time visual fault diagnosis by using the transformer refined three-dimensional model with the visual interface; the fault diagnosis algorithm and the fault processing instruction library which are built in the system can improve the quality of fault diagnosis and processing, and effectively reduce personnel operation errors.
Description
Technical Field
The application relates to the technical field of transformer fault diagnosis, in particular to a transformer visual fault diagnosis method and system based on a refined three-dimensional model.
Background
In recent years, with the rapid development of economy and the continuous improvement of the living standard of people, the demands of the public on electric power are increasing, and the stability and reliability of the power grid are extremely important from power utilization to power utilization. The transformer is used as core equipment of a transformer substation, bears the pivot function of voltage change and electric energy conversion, is one of the most important equipment in the whole power grid system, and the transformer fault often causes serious power system power failure accidents, and the response influences the stability of the power grid and the reliability of power supply. Therefore, the rapid fault positioning and recovery is always a key task of the power grid company, and higher requirements are also put forward on-site operation and maintenance personnel.
In a real working environment, faults of a transformer are often recorded as characterized defect information, the severity of the faults can only be roughly judged from an external expression form, faults of an internal device where a problem symptom exists are difficult to discover and locate in time, the fault processing usually depends on maintenance rules and expert experience, operators are required to have higher skill level, quality and efficiency are difficult to guarantee, and risks of misoperation exist. With the use of various monitoring devices, a transformer fault diagnosis technology based on state evaluation appears in the industry, and state monitoring and active maintenance are realized by adopting a big data analysis method. The method has obvious defects, and factors such as insufficient accumulation of historical data, incomplete data dimension, poor data authenticity and the like severely restrict the accuracy. Meanwhile, the method only gives out fault diagnosis results and general overhaul suggestions, and operation and maintenance overhaul cannot be guided truly.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the application and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description of the application and in the title of the application, which may not be used to limit the scope of the application.
The present application has been made in view of the above-described problems occurring in the prior art. Therefore, the application provides a transformer visual fault diagnosis method based on a refined three-dimensional model, which is used for solving the problems of low fault handling efficiency and inaccurate fault data caused by easy misoperation in the fault handling process of personnel in the actual problem.
In order to solve the technical problems, the application provides the following technical scheme:
in a first aspect, the present application provides a method for visual fault diagnosis of a transformer based on a refined three-dimensional model, comprising:
acquiring physical data and operation data of a target transformer;
establishing a transformer refined three-dimensional model according to the physical data of the target transformer, and adding a fault processing instruction library and a fault diagnosis algorithm library into the transformer refined three-dimensional model;
performing visual design on the transformer refined three-dimensional model of the fault processing guide library and the fault diagnosis algorithm library to obtain a transformer refined three-dimensional model with a visual interface;
and according to the operation data of the target transformer, performing real-time visual fault diagnosis by using the transformer refined three-dimensional model with the visual interface.
As a preferable scheme of the transformer visual fault diagnosis method based on the refined three-dimensional model, the application comprises the following steps: physical data of the target transformer, comprising:
the transformer comprises a target transformer, a two-dimensional design drawing of a target transformer component and a three-dimensional scanning image of the target transformer component.
As a preferable scheme of the transformer visual fault diagnosis method based on the refined three-dimensional model, the application comprises the following steps: a refined three-dimensional model of a transformer, comprising:
the overall structure of the target transformer, the internal major components, and the interactable components.
As a preferable scheme of the transformer visual fault diagnosis method based on the refined three-dimensional model, the application comprises the following steps: establishing a refined three-dimensional model of the transformer, comprising:
according to the two-dimensional design drawings of the target transformer and the target transformer component, carrying out three-dimensional modeling to obtain an original transformer refined three-dimensional model;
and carrying out model correction on the refined three-dimensional model of the original transformer according to the three-dimensional scanned images of the target transformer and the target transformer component to obtain a new refined three-dimensional model of the transformer.
As a preferable scheme of the transformer visual fault diagnosis method based on the refined three-dimensional model, the application comprises the following steps: adding a fault processing guide library and a fault diagnosis algorithm library into a transformer refined three-dimensional model, wherein the fault processing guide library and the fault diagnosis algorithm library comprise:
encoding all interactable parts of the new transformer refined three-dimensional model to obtain a new transformer refined three-dimensional model with codes;
obtaining the standing book information of the target transformer and the target transformer component, and adding the standing book information into the interactable component corresponding to the refined three-dimensional model of the target new transformer;
establishing a fault diagnosis algorithm library, and establishing a link between the fault diagnosis algorithm library and a new transformer refined three-dimensional model;
and fusing the transformer maintenance rules and operation and maintenance experience, establishing a fault processing guide library, and establishing a link between the fault processing guide library and the new transformer refined three-dimensional model.
As a preferable scheme of the transformer visual fault diagnosis method based on the refined three-dimensional model, the application comprises the following steps: the method for visually designing the transformer refined three-dimensional model of the fault processing guide library and the fault diagnosis algorithm library comprises the following steps:
performing size adjustment and angle adjustment on the refined three-dimensional model of the transformer and marking and coloring the interactable part;
the size adjustment and the angle adjustment are carried out, a working state register built in the model is utilized to read the current value of a main control chip built in the sensor, and the working state of the sensor is judged;
if the working state of the sensor is abnormal, marking the current position as an abnormal state, then carrying out self-checking on the model, and simultaneously adopting a quantitative measurement mode to combine integral operation to obtain the size and the angle of the model to be adjusted; if the working state of the sensor is normal, marking the current position as normal, estimating the minimum variance value only by using an adjustment error generated by the model, and adjusting the size and the angle of the model by using the estimated value of the minimum variance;
the quantitative measurement mode is combined with integral operation, filtering in a three-dimensional model and binarization in the three-dimensional model are used as references by a fixed ratio quantization method in quantitative measurement, the weight of the point in the neighborhood of the edge of the three-dimensional model is redistributed, and the point in the neighborhood of the edge of the three-dimensional model with the distributed weight is calculated by using an integral form of normal distribution;
the weight is redistributed, the size of the edge neighborhood inner points is analyzed by adopting factors or principal components, the weights of the factors or principal components are obtained, namely, the high-dimensional weights are obtained, and then the entropy method is used for calculation, so that the weights of the edge neighborhood inner points are obtained; calculating points in the edge neighborhood of the three-dimensional model distributed with weights by using an integral form of normal distribution;
wherein, the self-checking process adopts the Kalman filtering principle;
and establishing a visual interface, and adding the visual interface to the new transformer refined three-dimensional model to obtain the new transformer refined three-dimensional model with the visual interface.
As a preferable scheme of the transformer visual fault diagnosis method based on the refined three-dimensional model, the application comprises the following steps: according to the operation data of the target transformer, using a transformer refined three-dimensional model with a visual interface to perform real-time visual fault diagnosis, comprising:
performing fault diagnosis through a corresponding fault diagnosis algorithm in a link matching fault diagnosis algorithm library according to the operation data of the target transformer to obtain a corresponding fault diagnosis result, and displaying the fault diagnosis result on a visual interface;
according to the codes of the fault components in the fault diagnosis result, matching the interactable components of the new transformer refined three-dimensional model, and carrying out visual marking on the interactable components;
and according to the fault diagnosis result, matching corresponding processing strategies in the fault processing instruction library through links, and displaying the processing strategies on a visual interface.
In a second aspect, the present application provides a transformer visual fault diagnosis system based on a refined three-dimensional model, comprising:
the data acquisition unit is used for acquiring physical data and operation data of a target transformer in the transformer data server and storing the physical data and the operation data into the database unit;
the model construction unit is used for extracting the physical data of the target transformer stored in the database unit, establishing a transformer refined three-dimensional model, and adding a fault processing instruction library and a fault diagnosis algorithm library into the transformer refined three-dimensional model;
the visual design unit is used for performing visual design on the transformer refined three-dimensional model constructed by the model construction unit to obtain a transformer refined three-dimensional model with a visual interface, and storing model metadata of the transformer refined three-dimensional model with the visual interface into the database unit;
the visual fault diagnosis unit is used for extracting the model metadata stored in the database unit and the operation data of the target transformer; rendering is carried out according to the model metadata, and a transformer refined three-dimensional model with a visual interface is obtained; according to the operation data of the target transformer, performing real-time visual fault diagnosis by using a transformer refined three-dimensional model with a visual interface to obtain a fault diagnosis result, and storing the fault diagnosis result into a database unit;
the database unit is used for storing physical data and operation data of the target transformer, model metadata of a transformer refined three-dimensional model with a visual interface, fault diagnosis results, a fault processing instruction library and a fault diagnosis algorithm library.
In a third aspect, the present application provides a computer device comprising a memory and a processor, the memory storing a computer program, wherein: the processor, when executing the computer program, implements any of the steps of the method described above.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program, wherein: which when executed by a processor performs any of the steps of the method described above.
Compared with the prior art, the application has the beneficial effects that: according to the application, the fault diagnosis result can be accurately and intuitively presented by constructing the refined three-dimensional model of the target transformer, so that the digital twin effect is formed, and the internal fault is accurately represented and positioned; by adding the fault diagnosis algorithm library, the accuracy of fault diagnosis is improved; the visual guide type fault processing guide library and the visual interface are added, so that the fault processing process is simplified, the risk of misoperation is avoided, and the fault diagnosis and fault processing quality and efficiency are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a flow chart of a transformer visual fault diagnosis method based on a refined three-dimensional model according to an embodiment of the application;
fig. 2 is a block diagram of a transformer visual fault diagnosis system according to a transformer visual fault diagnosis method based on a refined three-dimensional model according to an embodiment of the present application.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present application can be understood in detail, a more particular description of the application, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present application is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the application. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
While the embodiments of the present application have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the application. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present application, it should be noted that the orientation or positional relationship indicated by the terms "upper, lower, inner and outer", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of describing the present application and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected, and coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
Example 1
Referring to fig. 1, a first embodiment of the present application provides a transformer visual fault diagnosis method based on a refined three-dimensional model, including:
s1, acquiring physical data and operation data of a target transformer;
further, the physical data of the target transformer comprises a target transformer, a two-dimensional design drawing of the target transformer component and a three-dimensional scanning image of the target transformer component;
it should be noted that, obtaining physical data of the target transformer and the target transformer component is beneficial to adding of the subsequent ledger information;
s2, establishing a transformer refined three-dimensional model according to physical data of a target transformer, and adding a fault processing instruction library and a fault diagnosis algorithm library into the transformer refined three-dimensional model;
further, the refined three-dimensional model of the transformer comprises an integral structure, an internal main device and an interactable component of the target transformer;
further, the steps for establishing the refined three-dimensional model of the transformer are as follows:
according to the two-dimensional design drawings of the target transformer and the target transformer component, carrying out three-dimensional modeling to obtain an original transformer refined three-dimensional model;
according to the three-dimensional scanned images of the target transformer and the target transformer component, carrying out model correction on the refined three-dimensional model of the original transformer to obtain a new refined three-dimensional model of the transformer;
further, the steps of adding a fault processing guide library and a fault diagnosis algorithm library into the refined three-dimensional model of the transformer are as follows:
encoding all interactable parts of the new transformer refined three-dimensional model to obtain a new transformer refined three-dimensional model with codes;
obtaining the standing book information of the target transformer and the target transformer component, and adding the standing book information into the interactable component corresponding to the refined three-dimensional model of the target new transformer;
it should be noted that, adding the standing book information into the interactable component corresponding to the refined three-dimensional model of the target new transformer can realize processing, arrangement and summarization of daily work data of the target transformer so as to facilitate inquiring of the running condition and equipment information of the target transformer;
establishing a fault diagnosis algorithm library, and establishing a link between the fault diagnosis algorithm library and a new transformer refined three-dimensional model;
fusing a transformer maintenance rule and operation and maintenance experience, establishing a fault processing guide library, and establishing a link between the fault processing guide library and a new transformer refined three-dimensional model;
it should be noted that, through the linking mode, the fault diagnosis algorithm library can be quickly and conveniently invoked in the new transformer refined three-dimensional model;
s3, performing visual design on the transformer refined three-dimensional model of the fault processing guide library and the fault diagnosis algorithm library to obtain the transformer refined three-dimensional model with a visual interface;
further, the transformer refined three-dimensional model of the fault processing guide library and the fault diagnosis algorithm library is visually designed as follows:
performing size adjustment and angle adjustment on the new transformer refined three-dimensional model and marking and coloring the interactable part;
the size adjustment and the angle adjustment are carried out, a working state register built in the model is utilized to read the current value of a main control chip built in the sensor, and the working state of the sensor is judged;
if the working state of the sensor is abnormal, marking the current position as an abnormal state, then carrying out self-checking on the model, and simultaneously adopting a quantitative measurement mode to combine integral operation to obtain the size and the angle of the model to be adjusted; if the working state of the sensor is normal, marking the current position as normal, estimating the minimum variance value only by using an adjustment error generated by the model, and adjusting the size and the angle of the model by using the estimated value of the minimum variance;
the quantitative measurement mode is combined with integral operation, filtering in a three-dimensional model and binarization in the three-dimensional model are used as references by a fixed ratio quantization method in quantitative measurement, the weight of the point in the neighborhood of the edge of the three-dimensional model is redistributed, and the point in the neighborhood of the edge of the three-dimensional model with the distributed weight is calculated by using an integral form of normal distribution;
the weight is redistributed, the size of the edge neighborhood inner points is analyzed by adopting factors or principal components, the weights of the factors or principal components are obtained, namely, the high-dimensional weights are obtained, and then the entropy method is used for calculation, so that the weights of the edge neighborhood inner points are obtained; calculating points in the edge neighborhood of the three-dimensional model distributed with weights by using an integral form of normal distribution;
wherein, the self-checking process adopts the Kalman filtering principle;
establishing a visual interface, and adding the visual interface to a new transformer refined three-dimensional model to obtain the new transformer refined three-dimensional model with the visual interface;
s4, performing real-time visual fault diagnosis by using a transformer refined three-dimensional model with a visual interface according to the operation data of the target transformer;
performing fault diagnosis through a corresponding fault diagnosis algorithm in a link matching fault diagnosis algorithm library according to the operation data of the target transformer to obtain a corresponding fault diagnosis result, and displaying the fault diagnosis result on a visual interface;
it should be noted that the fault diagnosis result display can provide visual guidance for maintenance personnel, so that the fault condition can be mastered conveniently;
according to the codes of the fault components in the fault diagnosis result, matching the interactable components of the new transformer refined three-dimensional model, and carrying out visual marking on the interactable components;
according to the fault diagnosis result, matching corresponding processing strategies in the fault processing instruction library through links, and displaying the processing strategies on a visual interface;
it should be noted that the processing policy includes a processing portion, an operation content, and notes of each step of the fault processing;
further, the present embodiment also provides a transformer visual fault diagnosis system based on a refined three-dimensional model, including:
the data acquisition unit is used for acquiring physical data and operation data of a target transformer in the transformer data server and storing the physical data and the operation data into the database unit;
the model construction unit is used for extracting the physical data of the target transformer stored in the database unit, establishing a transformer refined three-dimensional model, and adding a fault processing instruction library and a fault diagnosis algorithm library into the transformer refined three-dimensional model;
the visual design unit is used for performing visual design on the transformer refined three-dimensional model constructed by the model construction unit to obtain a transformer refined three-dimensional model with a visual interface, and storing model metadata of the transformer refined three-dimensional model with the visual interface into the database unit;
the visual fault diagnosis unit is used for extracting the model metadata stored in the database unit and the operation data of the target transformer; rendering is carried out according to the model metadata, and a transformer refined three-dimensional model with a visual interface is obtained; according to the operation data of the target transformer, performing real-time visual fault diagnosis by using a transformer refined three-dimensional model with a visual interface to obtain a fault diagnosis result, and storing the fault diagnosis result into a database unit;
the database unit is used for storing physical data and operation data of the target transformer, model metadata of a transformer refined three-dimensional model with a visual interface, fault diagnosis results, a fault processing instruction library and a fault diagnosis algorithm library.
The embodiment also provides a computer device, which is suitable for the situation of the transformer visual fault diagnosis method based on the refined three-dimensional model, and comprises the following steps:
a memory and a processor; the memory is used for storing computer executable instructions, and the processor is used for executing the computer executable instructions to realize the transformer visual fault diagnosis method based on the refined three-dimensional model according to the embodiment.
The computer device may be a terminal comprising a processor, a memory, a communication interface, a display screen and input means connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
The present embodiment also provides a storage medium having stored thereon a computer program which, when executed by a processor, implements the transformer visual fault diagnosis method based on the refined three-dimensional model as set forth in the above embodiment.
The storage medium according to the present embodiment belongs to the same inventive concept as the data storage method according to the above embodiment, and technical details not described in detail in the present embodiment can be seen in the above embodiment, and the present embodiment has the same advantageous effects as the above embodiment.
Example 2
Referring to fig. 2, a second embodiment of the present application provides a transformer visual fault diagnosis system based on a refined three-dimensional model, including:
the system comprises a data acquisition unit, a model construction unit, a visual design unit, a visual fault diagnosis unit and a database unit;
the database unit is respectively connected with the data acquisition unit, the model construction unit, the visual design unit and the visual fault diagnosis unit; the model building unit is connected with the visual design unit, and the data acquisition unit is connected with an external transformer data server;
further, the model building unit comprises a model building module, a model correction module, a component coding module, an information adding module and a link building module;
the system comprises a model building module, a model correction module, a component coding module, an information adding module and a link building module, wherein the model building module, the model correction module, the component coding module, the information adding module and the link building module are sequentially connected, the model building module is connected with a database unit, and the building module is connected with a visual design unit;
further, the visual design unit comprises a model adjustment module and an interface establishment module;
the model adjustment module is respectively connected with the model construction unit and the interface establishment module, and the interface establishment module is connected with the database unit.
Example 3
Referring to table 1, a third embodiment of the present application provides a transformer visual fault diagnosis method based on a refined three-dimensional model, including:
the example illustrates the beneficial effects of adjusting the size and angle of the model by combining the mode of quantitative measurement with integral operation through experimental data and comparing other methods;
it should be noted that the experiment was performed on the basis of ignoring additional errors that may be caused in the model; refer to table 1;
TABLE 1
As can be seen from table 1, a smaller value of F value indicates a higher test accuracy; it should be noted that if the average values generated by the data in the test are very different, the value of F will be correspondingly smaller, which means that the similarity of the two methods is very high; otherwise, if the average value difference generated by the data in the test is not large, the value of F is correspondingly large, which indicates that the similarity of the two methods is very low; the standard deviation can reflect the distribution condition of experimental data, the larger the average value is, the larger the standard deviation is, and meanwhile, the smaller the standard deviation is, the higher the accuracy of the adjustment model is;
through the above description and the conclusion obtained by experimental data, the method used by the application can more accurately adjust the size and angle of the model compared with other methods, so as to ensure the stability of the model in practical application.
Example 4
Referring to table 2, a fourth embodiment of the present application provides a transformer visual fault diagnosis method based on a refined three-dimensional model, including:
the beneficial effects of the system before and after use are illustrated in the form of a graph; and carrying out quantitative statistics on average time required by fault diagnosis and treatment according to experimental results, as shown in table 2;
TABLE 2
Before the system is used in the primary analysis stage of faults, groups need to collect related information such as SOE records in stations, image data, fault wave recording files and descriptions of fault reporting persons, organize expert meetings, primarily analyze fault reasons, evaluate equipment conditions and take 3 hours on average; the system integrates and gathers various scattered data, when faults are detected to occur through a built-in fault diagnosis algorithm library, fault diagnosis results are rapidly given out, fault diagnosis basis is displayed in detail, a team only needs to check and confirm the diagnosis results of the system, and a manual confirmation process exists, so that the required time is 14 minutes on average;
in the field investigation stage, before the system is used, after the primary analysis of faults is carried out, the system needs to arrive at the field investigation, covers the processes of application, arrival at the field, field investigation and the like, and takes 8 hours on average; after the system is used, the on-site investigation is not needed;
before the system is used in the stage of setting up a fault treatment scheme, maintenance personnel complete field investigation, determine whether a special conference needs to be organized according to the complexity of the fault after confirming the fault part and the reason, set up the fault treatment scheme, determine the treatment process and required spare parts, and use for 2 hours on average; according to the diagnosed fault result, the system timely gives out a fault treatment guiding strategy and required spare parts through a built-in fault treatment guiding library and a visual interface, displays detailed treatment steps on a three-dimensional model, and takes 5 minutes on average;
in the material preparation stage, before using the system, a team needs to apply for materials, check whether enough spare parts are provided, and use for 4 hours on average; after the system is used, the stock condition of spare parts can be quickly known, a material application form is generated by one key, and the average time is 5 minutes;
because the system is an online informatization system, no matter whether the system is used or not, the final fault treatment needs to be completed on site; therefore, the average time is 4 hours before and after the system is used;
in conclusion, after the system is used, the average time for fault diagnosis and treatment is reduced by 16.6 hours, and the efficiency is improved by 79%;
the fault diagnosis algorithm and the fault processing guide library which are built in the system combine expert knowledge and an AI optimization algorithm, and through practical verification, the feasibility of the fault diagnosis and processing system is guaranteed, and compared with maintenance personnel with uneven level, the fault diagnosis and processing quality can be improved.
It should be noted that the above embodiments are only for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present application may be modified or substituted without departing from the spirit and scope of the technical solution of the present application, which is intended to be covered in the scope of the claims of the present application.
Claims (10)
1. The transformer visual fault diagnosis method based on the refined three-dimensional model is characterized by comprising the following steps of:
acquiring physical data and operation data of a target transformer;
establishing a transformer refined three-dimensional model according to the physical data of the target transformer, and adding a fault processing instruction library and a fault diagnosis algorithm library into the transformer refined three-dimensional model;
performing visual design on the transformer refined three-dimensional model of the fault processing guide library and the fault diagnosis algorithm library to obtain a transformer refined three-dimensional model with a visual interface;
and according to the operation data of the target transformer, performing real-time visual fault diagnosis by using the transformer refined three-dimensional model with the visual interface.
2. The method for visual fault diagnosis of a transformer based on a refined three-dimensional model according to claim 1, wherein the physical data of the target transformer comprises:
the transformer comprises a target transformer, a two-dimensional design drawing of a target transformer component and a three-dimensional scanning image of the target transformer component.
3. The method for visual fault diagnosis of a transformer based on a refined three-dimensional model as claimed in claim 2, wherein the refined three-dimensional model of the transformer comprises:
the overall structure of the target transformer, the internal major components, and the interactable components.
4. The method for visual fault diagnosis of a transformer based on a refined three-dimensional model as claimed in claim 3, wherein the step of building the refined three-dimensional model of the transformer comprises the steps of:
according to the two-dimensional design drawings of the target transformer and the target transformer component, carrying out three-dimensional modeling to obtain an original transformer refined three-dimensional model;
and carrying out model correction on the refined three-dimensional model of the original transformer according to the three-dimensional scanned images of the target transformer and the target transformer component to obtain a new refined three-dimensional model of the transformer.
5. The method for visual fault diagnosis of a transformer based on a refined three-dimensional model as claimed in claim 4, wherein a fault processing instruction library and a fault diagnosis algorithm library are added to the refined three-dimensional model of the transformer, comprising:
encoding all interactable parts of the new transformer refined three-dimensional model to obtain a new transformer refined three-dimensional model with codes;
obtaining the standing book information of the target transformer and the target transformer component, and adding the standing book information into the interactable component corresponding to the refined three-dimensional model of the target new transformer;
establishing a fault diagnosis algorithm library, and establishing a link between the fault diagnosis algorithm library and a new transformer refined three-dimensional model;
and fusing the transformer maintenance rules and operation and maintenance experience, establishing a fault processing guide library, and establishing a link between the fault processing guide library and the new transformer refined three-dimensional model.
6. The method for visual fault diagnosis of a transformer based on a refined three-dimensional model as claimed in claim 5, wherein the visual design of the transformer refined three-dimensional model of the fault handling instruction library and the fault diagnosis algorithm library comprises the following steps:
performing size adjustment and angle adjustment on the new transformer refined three-dimensional model and marking and coloring the interactable part;
the size adjustment and the angle adjustment are carried out, a working state register built in the model is utilized to read the current value of a main control chip built in the sensor, and the working state of the sensor is judged;
if the working state of the sensor is abnormal, marking the current position as an abnormal state, then carrying out self-checking on the model, and simultaneously adopting a quantitative measurement mode to combine integral operation to obtain the size and the angle of the model to be adjusted; if the working state of the sensor is normal, marking the current position as normal, estimating the minimum variance value only by using an adjustment error generated by the model, and adjusting the size and the angle of the model by using the estimated value of the minimum variance;
combining the quantization measurement mode with integral operation, and re-distributing the weight of the point in the edge neighborhood of the three-dimensional model by using filtering in the three-dimensional model and binarization in the three-dimensional model as references through a fixed ratio quantization method in the quantization measurement;
the weight is redistributed, the size of the edge neighborhood inner points is analyzed by adopting factors or principal components, the weights of the factors or principal components are obtained, namely, the high-dimensional weights are obtained, and then the entropy method is used for calculation, so that the weights of the edge neighborhood inner points are obtained; calculating points in the edge neighborhood of the three-dimensional model distributed with weights by using an integral form of normal distribution;
wherein, the self-checking process adopts the Kalman filtering principle;
and establishing a visual interface, and adding the visual interface to the new transformer refined three-dimensional model to obtain the new transformer refined three-dimensional model with the visual interface.
7. The method for visual fault diagnosis of a transformer based on a refined three-dimensional model as claimed in claim 6, wherein the real-time visual fault diagnosis is performed using the transformer refined three-dimensional model with a visual interface according to the operation data of the target transformer, comprising:
performing fault diagnosis through a corresponding fault diagnosis algorithm in a link matching fault diagnosis algorithm library according to the operation data of the target transformer to obtain a corresponding fault diagnosis result, and displaying the fault diagnosis result on a visual interface;
according to the codes of the fault components in the fault diagnosis result, matching the interactable components of the new transformer refined three-dimensional model, and carrying out visual marking on the interactable components;
and according to the fault diagnosis result, matching corresponding processing strategies in the fault processing instruction library through links, and displaying the processing strategies on a visual interface.
8. A transformer visual fault diagnosis system based on a refined three-dimensional model, and a transformer visual fault diagnosis method based on a refined three-dimensional model according to any one of claims 1 to 7, characterized by comprising:
the data acquisition unit is used for acquiring physical data and operation data of a target transformer in the transformer data server and storing the physical data and the operation data into the database unit;
the model construction unit is used for extracting the physical data of the target transformer stored in the database unit, establishing a transformer refined three-dimensional model, and adding a fault processing instruction library and a fault diagnosis algorithm library into the transformer refined three-dimensional model;
the visual design unit is used for performing visual design on the transformer refined three-dimensional model constructed by the model construction unit to obtain a transformer refined three-dimensional model with a visual interface, and storing model metadata of the transformer refined three-dimensional model with the visual interface into the database unit;
the visual fault diagnosis unit is used for extracting the model metadata stored in the database unit and the operation data of the target transformer; rendering is carried out according to the model metadata, and a transformer refined three-dimensional model with a visual interface is obtained; according to the operation data of the target transformer, performing real-time visual fault diagnosis by using a transformer refined three-dimensional model with a visual interface to obtain a fault diagnosis result, and storing the fault diagnosis result into a database unit;
the database unit is used for storing physical data and operation data of the target transformer, model metadata of a transformer refined three-dimensional model with a visual interface, fault diagnosis results, a fault processing instruction library and a fault diagnosis algorithm library.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that: the processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program, when executed by a processor, implements the steps of the method of any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310472697.1A CN116680867A (en) | 2023-04-27 | 2023-04-27 | Transformer visual fault diagnosis method and system based on refined three-dimensional model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310472697.1A CN116680867A (en) | 2023-04-27 | 2023-04-27 | Transformer visual fault diagnosis method and system based on refined three-dimensional model |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116680867A true CN116680867A (en) | 2023-09-01 |
Family
ID=87781486
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310472697.1A Pending CN116680867A (en) | 2023-04-27 | 2023-04-27 | Transformer visual fault diagnosis method and system based on refined three-dimensional model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116680867A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117270482A (en) * | 2023-11-22 | 2023-12-22 | 博世汽车部件(苏州)有限公司 | Automobile factory control system based on digital twin |
-
2023
- 2023-04-27 CN CN202310472697.1A patent/CN116680867A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117270482A (en) * | 2023-11-22 | 2023-12-22 | 博世汽车部件(苏州)有限公司 | Automobile factory control system based on digital twin |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104638764A (en) | Intelligent state diagnosis and overhauling system for power distribution network equipment | |
| CN108805296A (en) | The monitoring method and monitoring device of measuring equipment abnormality | |
| CN116680867A (en) | Transformer visual fault diagnosis method and system based on refined three-dimensional model | |
| CN111008774A (en) | Relay protection mobile operation management and control system | |
| CN114255784A (en) | Substation equipment fault diagnosis method based on voiceprint recognition and related device | |
| CN115188688A (en) | Abnormality detection method and apparatus, electronic device, and storage medium | |
| CN117311295B (en) | Production quality improving method and system based on wireless network equipment | |
| Li et al. | Study on operator's SA reliability in digital NPPs. Part 2: Data-driven causality model of SA | |
| CN102013081A (en) | User-defined credit analysis model method based on credit rating system | |
| CN112308437A (en) | Line loss management method, system, device and storage medium based on big data analysis | |
| CN117114412A (en) | Safety pre-control method and device for dangerous chemical production enterprises | |
| CN117038091A (en) | Rapid diagnosis system and method for diabetic nephropathy through predictive model | |
| CN109592525A (en) | Elevator frequency converter fault diagnosis system and method | |
| CN111882289B (en) | Device and method for measuring and calculating project data auditing index interval | |
| CN113642669A (en) | Fraud prevention detection method, device and equipment based on feature analysis and storage medium | |
| CN109494882B (en) | Method and system for diagnosing state of substation switch equipment | |
| JP2002297810A (en) | Equipment maintenance plan support system | |
| Miao et al. | Coal mine electrical safety management and accident prevention based on neural network and signal processing | |
| CN108197814A (en) | A kind of electric power enterprise security of system evaluation method and system | |
| Tudevdagva et al. | System Design of Insulator Inspection Software for HV Distribution Lines | |
| Liu et al. | Research on Fixed Asset Management from the Perspective of Industry-Finance Integration—Based on CNN Method | |
| CN116911614A (en) | Distribution network line evaluation method and system | |
| CN117557932A (en) | Substation equipment operation and detection method based on mixed reality | |
| CN117634152A (en) | Nuclear power digital twin construction method and system based on digital flow chart | |
| CN114492856A (en) | Strip mine overhaul management method and system based on 5G network |
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 |