CN110968637A - Method, device, equipment and medium for 3D visual display of wind power plant data - Google Patents

Method, device, equipment and medium for 3D visual display of wind power plant data Download PDF

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CN110968637A
CN110968637A CN201910998298.2A CN201910998298A CN110968637A CN 110968637 A CN110968637 A CN 110968637A CN 201910998298 A CN201910998298 A CN 201910998298A CN 110968637 A CN110968637 A CN 110968637A
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张聘亭
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Wuhan Shenku Xiaojiang Technology Co Ltd
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Abstract

The invention provides a method, a device, equipment and a medium for 3D visual display of wind power plant data. The method comprises the following steps: acquiring appearance data of fan equipment, establishing a 3D model of the fan equipment through a visual algorithm, extracting equipment type data from the appearance data of the fan equipment, and establishing a fan database according to the equipment type data; acquiring operation data of corresponding fan equipment in real time according to the fan equipment category data, establishing a data state table according to the equipment operation data, and storing the corresponding data state table into a corresponding fan database according to the fan equipment category data; the method comprises the steps of receiving a data query instruction, extracting a data state table of corresponding equipment from a corresponding fan database according to equipment types, and displaying the data state table to a user.

Description

Method, device, equipment and medium for 3D visual display of wind power plant data
Technical Field
The invention relates to the field of wind power plant monitoring and analysis, in particular to a method, a device, equipment and a medium for 3D visual display of wind power plant data.
Background
The wind power field is a tool invented by human beings, and the wind power field utilizes wind energy and combines a series of power generation machines so as to achieve the purpose of generating power by using wind. However, the existing wind power plant monitoring and operation and maintenance modes adopt a traditional data monitoring mode, and the understanding of the structure of the equipment is often fuzzy in the monitoring and operation and maintenance processes, so that the judgment of the fault of the equipment by a user is unclear.
Meanwhile, the existing technology often has the following problems when monitoring the wind power plant: the problem of the equipment can not be visually seen according to the data, and the daily maintenance progress of the operation and maintenance personnel can not be mastered through the data. Therefore, how to establish a perfect 3D visualization display method of data becomes a problem to be solved urgently.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
In view of this, the invention provides a method, a device, equipment and a medium for 3D visualization display of wind farm data, and aims to solve the technical problem that in the prior art, in the process of combining wind farm data with a 3D device diagram displayed on a screen, a user cannot know the operation state of wind farm equipment in detail through the 3D device diagram.
The technical scheme of the invention is realized as follows:
on one hand, the invention provides a 3D visualization display method for wind power plant data, which comprises the following steps:
s1, acquiring appearance data of the fan equipment, establishing a 3D model of the fan equipment through a visualization algorithm, extracting equipment type data from the appearance data of the fan equipment, and establishing a fan database according to the equipment type data;
s2, acquiring operation data of corresponding fan equipment in real time according to the fan equipment category data, establishing a data state table according to the equipment operation data, and storing the corresponding data state table into a corresponding fan database according to the fan equipment category data;
and S3, receiving the data query instruction, extracting the type of the equipment to be queried from the instruction, extracting the data state table of the corresponding equipment from the corresponding fan database according to the type of the equipment, and displaying the data state table to a user.
The base of the above technical schemeOn the basis, preferably, in step S1, the shape data of the fan device is obtained, the shape data of the fan device is preprocessed, and the preprocessed data form a data matrix Un*mThe method comprises the following steps of establishing a 3D model of the fan device through a visualization algorithm, wherein the visualization algorithm comprises the following steps:
Figure BDA0002240449760000021
wherein, in the data matrix Un*mIn the visualization algorithm, i is a natural number from 1 to n, and the attribute b is a natural numberiThere are r kinds of values to be taken,
Figure BDA0002240449760000022
ngis attribute biThe number of occurrences of the g-th value, and
Figure BDA0002240449760000023
t is a constant;
set A is established if T (b)i) If > delta, attribute T (b) will be addedi) Putting the data into a set A, wherein delta is an importance characteristic value threshold value, and generating a data matrix V according to the attribute of the set Ak*mWherein k is Un*mAnd according to the data matrix Vk*mAnd generating a 3D model diagram.
On the basis of the above technical solution, preferably, in step S1, extracting device type data from the wind turbine device shape data, and establishing a wind turbine database according to the device type data, the method further includes the following steps of obtaining the wind turbine device shape data, where the wind turbine device shape data includes: and establishing a database according to the equipment type data of the fan, wherein different types of equipment correspond to different databases, and the equipment type data serve as labels of corresponding data.
On the basis of the above technical solution, preferably, in step S2, the operation data of the corresponding fan device is obtained in real time according to the fan device category data, a data state table is established according to the operation data of the device, and the corresponding data state table is stored in the corresponding fan database according to the fan device category data, and further including the steps of obtaining the operation data of the corresponding fan device in real time according to the fan device category data, obtaining a local fan operation data threshold, comparing the operation data with the fan operation data threshold, obtaining a comparison result, establishing a data state table according to the comparison result, and storing the corresponding data state table in the corresponding fan database according to the fan device category data.
On the basis of the technical scheme, preferably, the operation data is compared with a fan operation data threshold value to obtain a comparison result, and a data state table is established according to the comparison result, and the method further comprises the following steps of comparing the operation data with the fan operation data threshold value, and when the operation data meets the fan operation data threshold value, obtaining the operation data at the moment and marking the operation data as normal data; and when the operation data does not meet the threshold value of the fan operation data, acquiring the operation data at the moment, marking the operation data as abnormal data, and establishing a data state table according to a comparison result.
On the basis of the above technical solution, preferably, in step S2, the operation data of the corresponding fan device is obtained in real time according to the fan device category data, a data state table is established according to the device operation data, and the corresponding data state table is stored in the corresponding fan database according to the fan device category data, and further including the steps of setting a time threshold, recording the time for obtaining the operation data of the corresponding fan device in real time, and when the time for obtaining the operation data of the corresponding fan device in real time is less than the time threshold, comparing the operation data with the fan operation data threshold to obtain a comparison result, and establishing the data state table according to the comparison result; and when the time for acquiring the running data of the corresponding fan equipment in real time is greater than a time threshold, equipment abnormity marking is carried out on the fan equipment, and the mark is stored in a data state table.
On the basis of the technical scheme, preferably, when the time for acquiring the operation data of the corresponding fan equipment in real time is greater than a time threshold, equipment abnormality marking is carried out on the fan equipment, and the method further comprises the following steps of carrying out self-checking on the fan equipment when the abnormality marking exists on the fan equipment, displaying the position with the abnormality to a user through a 3D model diagram and a data state table, and informing a maintenance person to carry out maintenance.
Still further preferably, the method and device for 3D visualization presentation of wind farm data includes:
the fan database establishing module is used for acquiring appearance data of fan equipment, establishing a 3D model of the fan equipment through a visual algorithm, extracting equipment type data from the appearance data of the fan equipment, and establishing a fan database according to the equipment type data;
the data state table establishing module is used for acquiring the operation data of the corresponding fan equipment in real time according to the category data of the fan equipment, establishing a data state table according to the operation data of the equipment, and storing the corresponding data state table into a corresponding fan database according to the category data of the fan equipment;
and the display module is used for receiving the data query instruction, extracting the type of the equipment to be queried from the instruction, extracting the data state table of the corresponding equipment from the corresponding fan database according to the type of the equipment, and displaying the data state table to a user.
In a second aspect, the method for 3D visualization of wind farm data further comprises a device comprising: a memory, a processor and a method program for 3D visualization of wind farm data stored on the memory and executable on the processor, the method program for 3D visualization of wind farm data being configured to carry out the steps of the method for 3D visualization of wind farm data as described above.
In a third aspect, the method for 3D visualization of wind farm data further includes a medium, which is a computer medium, on which a method program for 3D visualization of wind farm data is stored, and when executed by a processor, the method program for 3D visualization of wind farm data implements the steps of the method for 3D visualization of wind farm data as described above.
Compared with the prior art, the method for 3D visualization display of the wind power plant data has the following beneficial effects:
(1) 3D model establishment is achieved for each device of the fan through a visualization algorithm, terrain restoration is achieved for the whole wind field, a user can visually see the geographical environment of the whole wind field and the simulation condition of the fan through a screen, and the user can have a whole understanding of the environment of the fan;
(2) the operation data of the fan equipment is acquired in real time, then a corresponding data table is established according to the operation data of the fan equipment, a user can see the real-time operation condition of the current fan equipment through the data table, meanwhile, the user can also realize the control of the fan through interactive dynamic operation, and maintainers can also judge the place of the fan equipment needing to be maintained through the equipment state table.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of an apparatus in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of a method for 3D visualization of wind farm data according to the present invention;
fig. 3 is a functional module schematic diagram of a method for 3D visualization of wind farm data according to a first embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of the device, and that in actual implementations the device may include more or less components than those shown, or some components may be combined, or a different arrangement of components.
As shown in FIG. 1, a memory 1005, which is one medium, may include an operating system, a network communications module, a user interface module, and a method program for 3D visualization of wind farm data.
In the device shown in fig. 1, the network interface 1004 is mainly used for establishing a communication connection between the device and a server storing all data required in the method system for 3D visualization of wind farm data; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the method and device for 3D visual display of wind farm data can be arranged in the method and device for 3D visual display of wind farm data, the method and device for 3D visual display of wind farm data calls a method program for 3D visual display of wind farm data stored in the memory 1005 through the processor 1001, and the method for 3D visual display of wind farm data provided by the invention is executed.
With reference to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of a method for 3D visualization of wind farm data according to the present invention.
In this embodiment, the method for 3D visualization display of wind farm data includes the following steps:
s10: the method comprises the steps of obtaining appearance data of the fan device, building a 3D model of the fan device through a visualization algorithm, extracting device type data from the appearance data of the fan device, and building a fan database according to the device type data.
It should be understood that after the profile data of the wind turbine equipment is acquired, the profile data of the wind turbine equipment needs to be preprocessed, and the preprocessed data are formed into a data matrix Un*mSuch a data matrix facilitates subsequent calculation, and the visualization algorithm in this embodiment is:
Figure BDA0002240449760000061
wherein, in the data matrix Un*mIn the visualization algorithm, i is a natural number from 1 to n, and the attribute b is a natural numberiThere are r kinds of values to be taken,
Figure BDA0002240449760000062
ngis attribute biThe number of occurrences of the g-th value, and
Figure BDA0002240449760000063
t is a constant;
set A is established if T (b)i) If > delta, attribute T (b) will be addedi) Putting the data into a set A, wherein delta is an importance characteristic value threshold value, and generating a data matrix V according to the attribute of the set Ak*mWherein k is Un*mAnd according to the data matrix Vk*mGenerating a 3D model diagram;
it should be understood that the wind turbine equipment profile data includes: the system establishes a 3D model of the equipment through the equipment basic data, then establishes a database of the corresponding equipment through the equipment category data, the database is used for storing the operation data of the corresponding equipment, the equipment category is used as a label of the corresponding database to be inquired by the system, and the equipment category comprises: engine, fan, battery.
S20: the method comprises the steps of acquiring operation data of corresponding fan equipment in real time according to fan equipment category data, establishing a data state table according to the equipment operation data, and storing the corresponding data state table into a corresponding fan database according to the fan equipment category data.
It should be understood that the operation data corresponding to the fan equipment is obtained in real time according to the category data of the fan equipment, then a local fan operation data threshold value is obtained, the data threshold value is set by a user and is used for judging whether the fan equipment is abnormal or not, the data threshold values of different equipment of the fan are different, the operation data is compared with the fan operation data threshold value to obtain a comparison result, and the system directly combines the result with the equipment operation data to establish a data state table for displaying whether the current data is abnormal or not, and stores the data state table into a database.
It should be understood that, when the operation data corresponding to the fan device is obtained in real time according to the fan device category data, the time for the system to obtain the operation data of the fan device in real time is recorded, and then the recorded time is compared with a time threshold, the time threshold is preset by a user and is used for judging whether interaction between the user and the device is abnormal or not, when the recorded time does not meet the time threshold preset by the user, it indicates that the interaction between the user and the device is abnormal, at this time, self-checking is performed inside the device, and a maintenance request is sent to a maintenance worker.
S30: and receiving a data query instruction, extracting the type of equipment to be queried from the instruction, extracting a data state table of corresponding equipment from a corresponding fan database according to the type of the equipment, and displaying the data state table to a user.
It should be understood that, after the system receives the data query instruction, the system extracts the category data of the device to be queried from the data query instruction, then finds the tag corresponding to the database according to the category data, and extracts the running state table of the device from the database, where the running state table may be data, a bar chart, or a meta-pie chart, and the user may select the mode of the running state table according to his preference to view the running state table. Meanwhile, the user can judge the running state of the current equipment through the running state table, the current equipment does not need to be maintained, and the maintenance personnel can determine what state the equipment is in during the maintenance process.
It should be understood that, in this embodiment, when the maintenance staff is maintaining the equipment, the system may judge the dynamic state of the maintenance staff in real time according to the operation data reflected by the equipment, and feedback the dynamic state to the user, and if the maintenance staff has arrived at the service point at this time, the position of the maintenance staff may be displayed on the 3D graph. In this way, the user can visually see whether the maintenance personnel are already performing maintenance and whether the maintenance personnel arrive at the maintenance site.
The above description is only for illustrative purposes and does not limit the technical solutions of the present application in any way.
As can be easily found from the above description, in the embodiment, the 3D model of the fan device is established through a visualization algorithm by obtaining the shape data of the fan device, the device type data is extracted from the shape data of the fan device, and the fan database is established according to the device type data; acquiring operation data of corresponding fan equipment in real time according to the fan equipment category data, establishing a data state table according to the equipment operation data, and storing the corresponding data state table into a corresponding fan database according to the fan equipment category data; the method comprises the steps of receiving a data query instruction, extracting a data state table of corresponding equipment from a corresponding fan database according to equipment types, and displaying the data state table to a user.
In addition, the embodiment of the invention also provides a device for 3D visual display of wind power plant data. As shown in fig. 3, the device for 3D visualization of wind farm data includes: the system comprises a fan database establishing module 10, a data state table establishing module 20 and a display module 30.
The fan database establishing module 10 is used for acquiring appearance data of fan equipment, establishing a 3D model of the fan equipment through a visualization algorithm, extracting equipment type data from the appearance data of the fan equipment, and establishing a fan database according to the equipment type data;
the data state table establishing module 20 is configured to obtain operation data of the corresponding fan device in real time according to the category data of the fan device, establish a data state table according to the operation data of the device, and store the corresponding data state table into a corresponding fan database according to the category data of the fan device;
and the display module 30 is used for receiving the data query instruction, extracting the type of the equipment to be queried from the instruction, extracting the data state table of the corresponding equipment from the corresponding fan database according to the type of the equipment, and displaying the data state table to a user.
In addition, it should be noted that the above-described embodiments of the apparatus are merely illustrative, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of the modules to implement the purpose of the embodiments according to actual needs, and the present invention is not limited herein.
In addition, technical details that are not described in detail in this embodiment may be referred to a method for 3D visualization of wind farm data provided in any embodiment of the present invention, and are not described herein again.
In addition, an embodiment of the present invention further provides a medium, where the medium is a computer medium, where a method program for 3D visual display of wind farm data is stored on the computer medium, and when executed by a processor, the method program for 3D visual display of wind farm data implements the following operations:
s1, acquiring appearance data of the fan equipment, establishing a 3D model of the fan equipment through a visualization algorithm, extracting equipment type data from the appearance data of the fan equipment, and establishing a fan database according to the equipment type data;
s2, acquiring operation data of corresponding fan equipment in real time according to the fan equipment category data, establishing a data state table according to the equipment operation data, and storing the corresponding data state table into a corresponding fan database according to the fan equipment category data;
and S3, receiving the data query instruction, extracting the type of the equipment to be queried from the instruction, extracting the data state table of the corresponding equipment from the corresponding fan database according to the type of the equipment, and displaying the data state table to a user.
Further, when executed by a processor, the method program for 3D visualization of wind farm data further implements the following operations:
acquiring the appearance data of the fan equipment, preprocessing the appearance data of the fan equipment, and forming a data matrix U by the preprocessed datan*mThe method comprises the following steps of establishing a 3D model of the fan device through a visualization algorithm, wherein the visualization algorithm comprises the following steps:
Figure BDA0002240449760000091
wherein, in the data matrix Un*mIn the visualization algorithm, i is a natural number from 1 to n, and the attribute b is a natural numberiThere are r kinds of values to be taken,
Figure BDA0002240449760000092
ngis attribute biThe number of occurrences of the g-th value, and
Figure BDA0002240449760000093
t is a constant;
set A is established if T (b)i) If > delta, attribute T (b) will be addedi) Putting the data into a set A, wherein delta is an importance characteristic value threshold value, and generating a data matrix V according to the attribute of the set Ak*mWherein k is Un*mAnd according to the data matrixVk*mAnd generating a 3D model diagram.
Further, when executed by a processor, the method program for 3D visualization of wind farm data further implements the following operations:
obtaining fan equipment shape data, the fan equipment shape data comprising: and establishing a database according to the equipment type data of the fan, wherein different types of equipment correspond to different databases, and the equipment type data serve as labels of corresponding data.
Further, when executed by a processor, the method program for 3D visualization of wind farm data further implements the following operations:
the method comprises the steps of acquiring operation data of corresponding fan equipment in real time according to fan equipment category data, acquiring a local fan operation data threshold value, comparing the operation data with the fan operation data threshold value to acquire a comparison result, establishing a data state table according to the comparison result, and storing the corresponding data state table into a corresponding fan database according to the fan equipment category data.
Further, when executed by a processor, the method program for 3D visualization of wind farm data further implements the following operations:
comparing the operation data with a fan operation data threshold, and when the operation data meets the fan operation data threshold, acquiring the current operation data and marking the operation data as normal data; and when the operation data does not meet the threshold value of the fan operation data, acquiring the operation data at the moment, marking the operation data as abnormal data, and establishing a data state table according to a comparison result.
Further, when executed by a processor, the method program for 3D visualization of wind farm data further implements the following operations:
setting a time threshold, recording the time for acquiring the operation data of the corresponding fan equipment in real time, comparing the operation data with the fan operation data threshold when the time for acquiring the operation data of the corresponding fan equipment in real time is less than the time threshold, acquiring a comparison result, and establishing a data state table according to the comparison result; and when the time for acquiring the running data of the corresponding fan equipment in real time is greater than a time threshold, equipment abnormity marking is carried out on the fan equipment, and the mark is stored in a data state table.
Further, when executed by a processor, the method program for 3D visualization of wind farm data further implements the following operations:
and when the fan equipment has the abnormal mark, self-checking the fan equipment, displaying the position with the abnormality to a user through a 3D model diagram and a data state table, and informing a maintenance person to maintain.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (10)

1. A3D visualization display method for wind power plant data is characterized by comprising the following steps: comprises the following steps;
s1, acquiring appearance data of the fan equipment, establishing a 3D model of the fan equipment through a visualization algorithm, extracting equipment type data from the appearance data of the fan equipment, and establishing a fan database according to the equipment type data;
s2, acquiring operation data of corresponding fan equipment in real time according to the fan equipment category data, establishing a data state table according to the equipment operation data, and storing the corresponding data state table into a corresponding fan database according to the fan equipment category data;
and S3, receiving the data query instruction, extracting the type of the equipment to be queried from the instruction, extracting the data state table of the corresponding equipment from the corresponding fan database according to the type of the equipment, and displaying the data state table to a user.
2. Method for 3D visualization of wind farm data according to claim 1, characterized in that: in step S1, fan device shape data is obtained, the fan device shape data is preprocessed, and the preprocessed data form a data matrix Un*mEstablishing a 3D model of the wind turbine equipment through a visualization algorithm, and establishing a model of the wind turbine equipment through a visualization algorithmThe visualization algorithm comprises the following steps:
Figure FDA0002240449750000011
wherein, in the data matrix Un*mIn the visualization algorithm, i is a natural number from 1 to n, and the attribute b is a natural numberiThere are r kinds of values to be taken,
Figure FDA0002240449750000012
ngis attribute biThe number of occurrences of the g-th value, and
Figure FDA0002240449750000013
t is a constant;
set A is established if T (b)i) If > delta, attribute T (b) will be addedi) Putting the data into a set A, wherein delta is an importance characteristic value threshold value, and generating a data matrix V according to the attribute of the set Ak*mWherein k is Un*mAnd according to the data matrix Vk*mAnd generating a 3D model diagram.
3. Method for 3D visualization of wind farm data according to claim 2, characterized in that: in step S1, extracting device type data from the fan device shape data, and establishing a fan database according to the device type data, the method further includes the following steps of obtaining the fan device shape data, where the fan device shape data includes: and establishing a database according to the equipment type data of the fan, wherein different types of equipment correspond to different databases, and the equipment type data serve as labels of corresponding data.
4. Method for 3D visualization of wind farm data according to claim 1, characterized in that: and step S2, acquiring operation data of the corresponding fan equipment in real time according to the fan equipment type data, establishing a data state table according to the equipment operation data, and storing the corresponding data state table into a corresponding fan database according to the fan equipment type data.
5. Method for 3D visualization of wind farm data according to claim 4, characterized in that: comparing the operation data with a fan operation data threshold value to obtain a comparison result, and establishing a data state table according to the comparison result, and also comprising the following steps of comparing the operation data with the fan operation data threshold value, and when the operation data meets the fan operation data threshold value, obtaining the operation data at the moment and marking the operation data as normal data; and when the operation data does not meet the threshold value of the fan operation data, acquiring the operation data at the moment, marking the operation data as abnormal data, and establishing a data state table according to a comparison result.
6. Method for 3D visualization of wind farm data according to claim 4, characterized in that: step S2, acquiring operation data of corresponding fan equipment in real time according to fan equipment category data, establishing a data state table according to the equipment operation data, and storing the corresponding data state table into a corresponding fan database according to the fan equipment category data, and the method also comprises the following steps of setting a time threshold value, recording the time for acquiring the operation data of the corresponding fan equipment in real time, comparing the operation data with the fan operation data threshold value when the time for acquiring the operation data of the corresponding fan equipment in real time is less than the time threshold value, acquiring a comparison result, and establishing the data state table according to the comparison result; and when the time for acquiring the running data of the corresponding fan equipment in real time is greater than a time threshold, equipment abnormity marking is carried out on the fan equipment, and the mark is stored in a data state table.
7. Method for 3D visualization of wind farm data according to claim 6, characterized in that: when the time for acquiring the running data of the corresponding fan equipment in real time is greater than a time threshold value, equipment abnormity marking is carried out on the fan equipment, the method further comprises the following steps of carrying out self-checking on the fan equipment when the abnormity marking exists on the fan equipment, displaying the position with abnormity to a user through a 3D model diagram and a data state table, and informing a maintenance person to carry out maintenance.
8. The device for 3D visual display of wind power plant data is characterized by comprising the following components:
and the fan database establishing module is used for acquiring appearance data of the fan equipment, establishing a 3D model of the fan equipment through a visual algorithm, extracting equipment type data from the appearance data of the fan equipment, and establishing a fan database according to the equipment type data.
And the data state table establishing module is used for acquiring the operation data of the corresponding fan equipment in real time according to the category data of the fan equipment, establishing a data state table according to the operation data of the equipment, and storing the corresponding data state table into a corresponding fan database according to the category data of the fan equipment.
And the display module is used for receiving the data query instruction, extracting the type of the equipment to be queried from the instruction, extracting the data state table of the corresponding equipment from the corresponding fan database according to the type of the equipment, and displaying the data state table to a user.
9. An apparatus, characterized in that the apparatus comprises: memory, processor and a method program for 3D visualization of wind farm data stored on the memory and executable on the processor, the method program for 3D visualization of wind farm data being configured to carry out the steps of the method for 3D visualization of wind farm data according to any of claims 1 to 7.
10. A medium, characterized in that it is a computer medium on which a method program for 3D visualization of wind farm data is stored, which method program, when being executed by a processor, carries out the steps of the method for 3D visualization of wind farm data according to any of claims 1 to 7.
CN201910998298.2A 2019-10-21 2019-10-21 Method, device, equipment and medium for 3D visual display of wind power plant data Pending CN110968637A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114856940A (en) * 2022-05-18 2022-08-05 快备新能源科技(上海)有限公司 VR-based online intelligent diagnosis method and system for wind turbine generator

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102254192A (en) * 2011-07-13 2011-11-23 北京交通大学 Method and system for semi-automatic marking of three-dimensional (3D) model based on fuzzy K-nearest neighbor
CN104019000A (en) * 2014-06-23 2014-09-03 宁夏银星能源股份有限公司 Load spectrum determination and proactive maintenance system of wind generating set
US20160018962A1 (en) * 2014-07-18 2016-01-21 Dato, Inc. User-interface for developing applications that apply machine learning
CN109947786A (en) * 2017-10-17 2019-06-28 中车株洲电力机车研究所有限公司 Failure checks method, apparatus and computer readable storage medium automatically in wind power plant
CN110110439A (en) * 2019-05-08 2019-08-09 固安华电天仁控制设备有限公司 A kind of wind power plant SCADA system based on threedimensional model

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102254192A (en) * 2011-07-13 2011-11-23 北京交通大学 Method and system for semi-automatic marking of three-dimensional (3D) model based on fuzzy K-nearest neighbor
CN104019000A (en) * 2014-06-23 2014-09-03 宁夏银星能源股份有限公司 Load spectrum determination and proactive maintenance system of wind generating set
US20160018962A1 (en) * 2014-07-18 2016-01-21 Dato, Inc. User-interface for developing applications that apply machine learning
CN109947786A (en) * 2017-10-17 2019-06-28 中车株洲电力机车研究所有限公司 Failure checks method, apparatus and computer readable storage medium automatically in wind power plant
CN110110439A (en) * 2019-05-08 2019-08-09 固安华电天仁控制设备有限公司 A kind of wind power plant SCADA system based on threedimensional model

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
王育坚等, 北京邮电大学出版社 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114856940A (en) * 2022-05-18 2022-08-05 快备新能源科技(上海)有限公司 VR-based online intelligent diagnosis method and system for wind turbine generator
CN114856940B (en) * 2022-05-18 2023-02-28 快备新能源科技(上海)有限公司 VR-based online intelligent diagnosis method and system for wind turbine generator

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