CN117112091A - Digital twinning-based water condition and dam safety monitoring system and model decoupling method - Google Patents
Digital twinning-based water condition and dam safety monitoring system and model decoupling method Download PDFInfo
- Publication number
- CN117112091A CN117112091A CN202310879884.1A CN202310879884A CN117112091A CN 117112091 A CN117112091 A CN 117112091A CN 202310879884 A CN202310879884 A CN 202310879884A CN 117112091 A CN117112091 A CN 117112091A
- Authority
- CN
- China
- Prior art keywords
- water
- gauge
- water level
- water gauge
- current
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 143
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000012544 monitoring process Methods 0.000 title claims abstract description 18
- 230000003321 amplification Effects 0.000 claims abstract description 14
- 238000003199 nucleic acid amplification method Methods 0.000 claims abstract description 14
- 238000006073 displacement reaction Methods 0.000 claims abstract description 13
- 230000002262 irrigation Effects 0.000 claims description 7
- 238000003973 irrigation Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000004422 calculation algorithm Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
- 238000011282 treatment Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/12—Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Architecture (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Image Processing (AREA)
Abstract
The application relates to the technical field of digital twinning, and discloses a digital twinning-based water condition and dam safety monitoring system and a model decoupling method for improving the visibility of water level information. The method comprises the following steps: tracking the amplification proportion and the sight direction of a user on the digital twin interface based on mouse and/or keyboard operation; judging whether the current amplification ratio exceeds a set threshold value or not; if the water level information is more than the water level information, judging whether any model with the current sight line direction in the interface middle setting area is associated with a virtual water gauge, if so, acquiring the water level information corresponding to the current real water gauge, and shifting the virtual water gauge carrying the water level information to the middle position of the side wall displayed in the front view of the associated model; and then returning to the previous step to dynamically adjust the displacement of the virtual water gauge according to the enlargement ratio, the sight direction and/or the updating of the water level information.
Description
Technical Field
The application relates to the technical field of digital twinning, in particular to a digital twinning-based water condition and dam safety monitoring system and a model decoupling method.
Background
Safety monitoring is an important management object for hydraulic engineering operation.
The traditional hydraulic engineering safety operation monitoring system comprises data acquisition, data transmission and data analysis. How to visualize the presentation of relevant monitored data to facilitate decision making and management is a challenge.
Digital twinning is widely applied to various industries such as aviation, intelligent manufacturing and the like. The digital twin technology is also applied to data monitoring and remote control of the rain conditions of reservoirs and dams, and the like, and the digital twin technology is also correspondingly researched.
The existing digital twin is usually constructed based on an actual object, and if necessary, the related small models can be integrally packaged after being fixed in position, so that the relative relation between the small models is kept unchanged in the process of switching along with the sight of a user. Therefore, the defect of higher operation precision requirement on the user is brought, and on one hand, the operation time for acquiring the key data is longer; on the other hand, it is also easy to cause part of critical monitoring data to be directly ignored; thus, further improvements are needed.
Disclosure of Invention
The application aims to disclose a digital twinning-based water regime and dam safety monitoring system and a model decoupling method so as to improve the visibility of water level information.
In order to achieve the above purpose, the model decoupling method based on the digital twin water condition and dam safety monitoring system disclosed by the application comprises the following steps:
s1, tracking the amplification proportion and the sight line direction of a user on a digital twin interface based on mouse and/or keyboard operation; the sight line direction takes the center of the digital twin interface as an origin, and rotates up and down and/or left and right in the dragging direction of a mouse and/or a keyboard;
s2, judging whether the current amplification ratio exceeds a set threshold value; if yes, turning to step S3, otherwise ending the flow;
step S3, judging whether any model with the current sight line direction in the interface middle setting area is associated with a virtual water gauge, if yes, turning to step S4, otherwise, ending the flow; the virtual water gauge corresponds to a physical water gauge vertically fixed on the physical side wall corresponding to the correlation model;
s4, acquiring water level information corresponding to the current real water gauge, and shifting a virtual water gauge carrying the water level information to the middle position of the side wall displayed in the current front view of the correlation model; and then returning to the step S1 to dynamically adjust the displacement of the virtual water gauge according to the enlargement ratio, the sight direction and/or the updating of the water level information.
Preferably, the correlation model is a virtual model of an irrigation generation hole, and the method further comprises:
s5, marking the real position of the corresponding real object water gauge in the side wall of the association model, and recording the attribute information of the real position and the binding relation between the attribute information and the shooting parameters calibrated in advance by the first camera;
step S6, judging whether the first camera is in an idle state or acquiring a water surface video state comprising a real water gauge currently in the process of displacing the virtual water gauge, if so, turning to step S7, otherwise turning to step S8;
step S7, judging whether the sunlight condition in the current period meets the definition requirement of the video collected by the first camera, if so, instructing the first camera to collect the water surface video comprising the real water gauge based on the pre-calibrated shooting parameters, and embedding the real-time water surface video playing window on the water surface area in the digital twin interface; otherwise, ending the flow;
s8, calling other cameras in an idle state to acquire the water surface video state of the dam bank, judging whether the sunlight condition in the current period meets the definition requirement of the corresponding camera for acquiring the video, and if so, embedding a real-time water surface video playing window on a water bank area in a digital twin interface; otherwise, the flow is ended.
Further, the method of the application further comprises:
step S9, identifying a character 'E' from the image frame of the water surface video,And numbers;
step S10, according to "E"And determining the position of the water gauge according to the arrangement rule of the numbers;
s11, extracting the boundary line between the water gauge and the water surface area after carrying out gray processing on the image frame;
step S12, according to the water gauge 'E' andcalculating maximum and minimum values of intersection points of boundary lines in continuous image frames and central vertical lines of the water gauge by using an interpolation algorithm, calculating a grade index of the current wave by using the maximum value as a wave crest, the minimum value as a wave trough and a time span between the maximum value and the minimum value as a half-wave period, and determining the average value of the wave crest and the wave trough as the current water level.
Preferably, the method of the present application further comprises: at least one electronic water gauge capable of automatically measuring water level according to the interval period and remotely transmitting water level data is deployed; when the sunlight condition meets the definition requirement of the first camera for collecting the video, error checking is carried out on the water level determined in the step S12 and the data between the electronic water gauges to judge whether the corresponding object is faulty or damaged, and when the sunlight condition does not meet the definition requirement of the first camera for collecting the video, the average value of the water levels measured by the electronic water gauges working normally is determined as the current water level.
The application also discloses a digital twinning-based water condition and dam safety monitoring system, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor is used for realizing a series of steps corresponding to the method when executing the computer program.
The application has the following beneficial effects:
in the traditional mode that a water gauge in an actual environment is fixed on an irrigation power generation hole or a water gauge pile, only a specific observation angle is convenient for reading water level information, the virtual water gauge and an associated model are decoupled, so that the water gauge can be dynamically adjusted according to the changes of the sight, the amplification proportion and the like of a user; the essence is that the acquisition intention of the user to the key information of the water gauge water level is determined according to the amplification proportion determined by the user, and then the displacement of the virtual water gauge is adjusted according to the corresponding sight line information so as to be actively presented in the current reasonable and convenient sight line range of the user. Therefore, the water level information is flexibly, intelligently and reliably displayed, the visibility and the real-time observation performance are improved, and the defect that the water level information is easily ignored is effectively avoided.
The application will be described in further detail with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:
fig. 1 is a schematic flow diagram of a model decoupling method of a digital twinning-based water condition and dam safety monitoring system according to an embodiment of the application.
Detailed Description
Embodiments of the application are described in detail below with reference to the attached drawings, but the application can be implemented in a number of different ways, which are defined and covered by the claims.
Example 1
The embodiment discloses a model decoupling method based on digital twin water conditions and a dam safety monitoring system, as shown in fig. 1, comprising the following steps:
s1, tracking the amplification proportion and the sight line direction of a user on a digital twin interface based on mouse and/or keyboard operation; the sight line direction takes the center of the digital twin interface as an origin, and rotates up and down and/or left and right in the dragging direction of the mouse and/or the keyboard.
In this step, the control mode of the sight line direction is consistent with the mode of viewing a room by the existing VR (Virtual Reality), so that the user can accurately control based on the existing VR operation habit, and the usability in the implementation process of this embodiment is improved.
S2, judging whether the current amplification ratio exceeds a set threshold value; if yes, go to step S3, otherwise, end the flow.
In this step, the essence is that the larger the magnification ratio corresponding to the usual manipulation habit of the user is, the higher the interest probability of the detail is, and the following is: when the amplification ratio exceeds a set threshold, the probability of attention of the user to the current water level information of the water gauge is larger so as to further support corresponding processing of the following steps.
Step S3, judging whether any model with the current sight line direction in the interface middle setting area is associated with a virtual water gauge, if yes, turning to step S4, otherwise, ending the flow; the virtual water gauge corresponds to a physical water gauge vertically fixed on the physical side wall corresponding to the association model.
In this step, the water gauge of the object is typically fixed to the side wall of the irrigation hole or stake. The setting area in the middle of the interface can refer to the display position of 100% of the equal proportion corresponding to the Word and other print preview interfaces in the screen, and can be set and changed by the user according to personal preference.
S4, acquiring water level information corresponding to the current real water gauge, and shifting a virtual water gauge carrying the water level information to the middle position of the side wall displayed in the current front view of the correlation model; and then returning to the step S1 to dynamically adjust the displacement of the virtual water gauge according to the enlargement ratio, the sight direction and/or the updating of the water level information.
In this step, assuming that the correlation model is an irrigation hole, the sidewall is generally barrel-shaped, and the corresponding displacement mode is rotation around the central axis; in order to facilitate the recognition and the operation processing in the association process, the corresponding contour lines and areas of the side wall need to be calibrated in advance. The correlation model is usually in a regular shape, and optional displacement modes include, but are not limited to, translation, etc., and a developer can set in advance a displacement adjustment mode corresponding to each correlation model in a program. Preferably, the displacement adjustment mode is firstly based on a default proportion (usually 1:1 proportion of the original image of the constructed model) for adjusting the line of sight, and then corresponding operation is carried out on the distribution of the pixel points corresponding to the virtual water gauge according to the current amplification proportion.
Further, when the correlation model of the present embodiment is a virtual model of an irrigation hole, the method further includes:
and S5, marking the real position of the corresponding real object water gauge in the side wall of the association model, and recording the attribute information of the real position and the binding relation between the attribute information and the shooting parameters calibrated in advance by the first camera.
In this step, the relevant imaging parameters include displacement information, focal length information, and the like of the camera corresponding to the angle of view.
And step S6, judging whether the first camera is in an idle state or collecting a water surface video state comprising the real water gauge currently in the process of displacing the virtual water gauge, if so, turning to step S7, otherwise turning to step S8.
Step S7, judging whether the sunlight condition in the current period meets the definition requirement of the video collected by the first camera, if so, instructing the first camera to collect the water surface video comprising the real water gauge based on the pre-calibrated shooting parameters, and embedding the real-time water surface video playing window on the water surface area in the digital twin interface; otherwise, the flow is ended.
S8, calling other cameras in an idle state to acquire the water surface video state of the dam bank, judging whether the sunlight condition in the current period meets the definition requirement of the corresponding camera for acquiring the video, and if so, embedding a real-time water surface video playing window on a water bank area in a digital twin interface; otherwise, the flow is ended.
In this step, compared with switching the operation state of the first camera by priority, the resource conflict of the first camera is solved and the complexity of the system is simplified.
Based on the steps S5 to S8, the embedded water surface video can be used for users to intuitively observe real-time water surface information, virtual model information and actual water surface information are integrated, and compared with the method that the dynamic information of the virtual model information is mapped to the whole water surface area of a digital twin interface according to the actual water surface information, the method has the advantages that the system calculation amount is greatly simplified, the system resources are saved, and a more real technical effect can be achieved. The constraint conditions of the region corresponding to the above-water video playing window can be preset by a program based on conventional designs known to those skilled in the art.
Further, the method of the embodiment further comprises the following steps:
step S9, identifying a character 'E' from the image frame of the water surface video,And numbers.
Step S10, according to "E"And determining the position of the water gauge according to the arrangement rule of the numbers.
And S11, extracting the boundary line between the water gauge and the water surface area after performing gray processing on the image frame.
Step S12, according to the water gauge 'E' andcalculating maximum and minimum values of intersection points of boundary lines in continuous image frames and central vertical lines of the water gauge by using an interpolation algorithm, calculating a grade index of the current wave by using the maximum value as a wave crest, the minimum value as a wave trough and a time span between the maximum value and the minimum value as a half-wave period, and determining the average value of the wave crest and the wave trough as the current water level.
Therefore, based on the steps S9 to S12, the real and reliable water level information can be automatically processed and obtained based on machine vision, the intelligence of the system is improved, and compared with a visual inspection mode, the water level information is more accurate.
Further, the method of the embodiment further comprises the following steps: at least one electronic water gauge capable of automatically measuring water level according to the interval period and remotely transmitting water level data is deployed; when the sunlight condition meets the definition requirement of the first camera for collecting the video, error checking is carried out on the water level determined in the step S12 and the data between the electronic water gauges to judge whether the corresponding object is faulty or damaged, and when the sunlight condition does not meet the definition requirement of the first camera for collecting the video, the average value of the water levels measured by the electronic water gauges working normally is determined as the current water level.
Generally, the user can determine whether the related processes from step S9 to step S12 are accurate based on the visual data obtained by the video collected by the first camera, and then check whether the other electronic water gauge data are accurate.
Noteworthy are: in this embodiment, the execution body of each step is typically each client connected to the platform server, and each client may acquire corresponding data from the platform server based on corresponding user operation, and then perform analysis and display processing on the layer and the data; therefore, a plurality of clients can independently interact with the platform server in parallel, and the system expansion is facilitated.
Further, in this embodiment, model information corresponding to a water level gauge, a rain gauge, an observation pier, a flood discharge gate, an osmometer, a water weir, a pressure measuring pipe, and a GNSS (Global Navigation Satellite System ) surface displacement monitoring device may be embedded in the digital twin interface. Such treatments are well known to those skilled in the art and will not be described in detail.
Example 2
Corresponding to the above embodiment, the present embodiment discloses a digital twin-based water condition and dam safety monitoring system, which includes a memory, a processor, and a computer program stored on the memory and capable of running on the processor, wherein the processor is used for implementing a series of steps corresponding to the above method embodiment when executing the computer program.
In summary, the digital twinning-based water condition and dam safety monitoring system and model decoupling method disclosed by the embodiment of the application have at least the following beneficial effects:
in the traditional mode that a water gauge in an actual environment is fixed on an irrigation power generation hole or a water gauge pile, only a specific observation angle is convenient for reading water level information, the virtual water gauge and an associated model are decoupled, so that the water gauge can be dynamically adjusted according to the changes of the sight, the amplification proportion and the like of a user; the essence is that the acquisition intention of the user to the key information of the water gauge water level is determined according to the amplification proportion determined by the user, and then the displacement of the virtual water gauge is adjusted according to the corresponding sight line information so as to be actively presented in the current reasonable and convenient sight line range of the user. Therefore, the water level information is flexibly, intelligently and reliably displayed, the visibility and the real-time observation performance are improved, and the defect that the water level information is easily ignored is effectively avoided.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (6)
1. A model decoupling method based on a digital twin water condition and dam safety monitoring system, comprising the following steps:
s1, tracking the amplification proportion and the sight line direction of a user on a digital twin interface based on mouse and/or keyboard operation; the sight line direction takes the center of the digital twin interface as an origin, and rotates up and down and/or left and right in the dragging direction of a mouse and/or a keyboard;
s2, judging whether the current amplification ratio exceeds a set threshold value; if yes, turning to step S3, otherwise ending the flow;
step S3, judging whether any model with the current sight line direction in the interface middle setting area is associated with a virtual water gauge, if yes, turning to step S4, otherwise, ending the flow; the virtual water gauge corresponds to a physical water gauge vertically fixed on the physical side wall corresponding to the correlation model;
s4, acquiring water level information corresponding to the current real water gauge, and shifting a virtual water gauge carrying the water level information to the middle position of the side wall displayed in the current front view of the correlation model; and then returning to the step S1 to dynamically adjust the displacement of the virtual water gauge according to the enlargement ratio, the sight direction and/or the updating of the water level information.
2. The method of claim 1, wherein the associated model is a virtual model of an irrigation generation hole, the method further comprising:
s5, marking the real position of the corresponding real object water gauge in the side wall of the association model, and recording the attribute information of the real position and the binding relation between the attribute information and the shooting parameters calibrated in advance by the first camera;
step S6, judging whether the first camera is in an idle state or acquiring a water surface video state comprising a real water gauge currently in the process of displacing the virtual water gauge, if so, turning to step S7, otherwise turning to step S8;
step S7, judging whether the sunlight condition in the current period meets the definition requirement of the video collected by the first camera, if so, instructing the first camera to collect the water surface video comprising the real water gauge based on the pre-calibrated shooting parameters, and embedding the real-time water surface video playing window on the water surface area in the digital twin interface; otherwise, ending the flow;
s8, calling other cameras in an idle state to acquire the water surface video state of the dam bank, judging whether the sunlight condition in the current period meets the definition requirement of the corresponding camera for acquiring the video, and if so, embedding a real-time water surface video playing window on a water bank area in a digital twin interface; otherwise, the flow is ended.
3. The method as recited in claim 2, further comprising:
step S9, identifying a character 'E' from the image frame of the water surface video,And numbers;
step S10, according to "E"And determining the position of the water gauge according to the arrangement rule of the numbers;
s11, extracting the boundary line between the water gauge and the water surface area after carrying out gray processing on the image frame;
step S12, according to the water gauge 'E' andcalculating maximum and minimum values of intersection points of boundary lines in continuous image frames and central vertical lines of the water gauge by using an interpolation algorithm, calculating a grade index of the current wave by using the maximum value as a wave crest, the minimum value as a wave trough and a time span between the maximum value and the minimum value as a half-wave period, and determining the average value of the wave crest and the wave trough as the current water level.
4. A method according to claim 3, further comprising:
at least one electronic water gauge capable of automatically measuring water level according to the interval period and remotely transmitting water level data is deployed;
when the sunlight condition meets the definition requirement of the first camera for collecting the video, error checking is carried out on the water level determined in the step S12 and the data between the electronic water gauges to judge whether the corresponding object is faulty or damaged, and when the sunlight condition does not meet the definition requirement of the first camera for collecting the video, the average value of the water levels measured by the electronic water gauges working normally is determined as the current water level.
5. The method according to any one of claims 1 to 4, further comprising:
and model information respectively corresponding to the water level gauge, the rain gauge, the observation pier, the flood discharge gate, the osmometer, the water weir, the pressure measuring pipe and the GNSS ground surface displacement monitoring equipment is embedded in the digital twin interface.
6. A digital twin based water condition and dam safety monitoring system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor is adapted to implement the method of any of the preceding claims 1 to 5 when executing the computer program.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310879884.1A CN117112091B (en) | 2023-07-17 | 2023-07-17 | Digital twinning-based water condition and dam safety monitoring system and model decoupling method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310879884.1A CN117112091B (en) | 2023-07-17 | 2023-07-17 | Digital twinning-based water condition and dam safety monitoring system and model decoupling method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN117112091A true CN117112091A (en) | 2023-11-24 |
CN117112091B CN117112091B (en) | 2024-02-13 |
Family
ID=88799196
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310879884.1A Active CN117112091B (en) | 2023-07-17 | 2023-07-17 | Digital twinning-based water condition and dam safety monitoring system and model decoupling method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117112091B (en) |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113222296A (en) * | 2021-06-07 | 2021-08-06 | 中国水利水电科学研究院 | Flood control scheduling method based on digital twin |
CN114089715A (en) * | 2021-10-13 | 2022-02-25 | 鹏城实验室 | Method and device for constructing digital twin model of water chilling unit, terminal and storage medium |
US20220164502A1 (en) * | 2020-11-23 | 2022-05-26 | Jiangsu University | Pump machine unit optimized operation regulation system and method based on digital twin |
CN115374508A (en) * | 2022-08-09 | 2022-11-22 | 福建中锐网络股份有限公司 | Large and medium-sized reservoir safety inspection system based on virtual reality technology |
CN115688227A (en) * | 2022-10-13 | 2023-02-03 | 长江空间信息技术工程有限公司(武汉) | Digital twin hydraulic engineering operation safety monitoring system and operation method |
CN115759378A (en) * | 2022-11-11 | 2023-03-07 | 黄河万家寨水利枢纽有限公司 | Dam safety analysis early warning system and method based on digital twins |
CN115841071A (en) * | 2022-11-17 | 2023-03-24 | 河海大学 | Digital twin basin scene modeling method based on water circulation dynamic knowledge graph |
US20230168638A1 (en) * | 2021-11-29 | 2023-06-01 | Johnson Controls Tyco IP Holdings LLP | Building data platform with digital twin based situational experimentation |
CN116367190A (en) * | 2023-02-13 | 2023-06-30 | 上海交通大学 | Digital twin function virtualization method for 6G mobile network |
CN116385680A (en) * | 2023-03-30 | 2023-07-04 | 宁波市水利水电规划设计研究院有限公司 | Three-dimensional immersive dam safety monitoring method and system based on UE technology |
-
2023
- 2023-07-17 CN CN202310879884.1A patent/CN117112091B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20220164502A1 (en) * | 2020-11-23 | 2022-05-26 | Jiangsu University | Pump machine unit optimized operation regulation system and method based on digital twin |
CN113222296A (en) * | 2021-06-07 | 2021-08-06 | 中国水利水电科学研究院 | Flood control scheduling method based on digital twin |
CN114089715A (en) * | 2021-10-13 | 2022-02-25 | 鹏城实验室 | Method and device for constructing digital twin model of water chilling unit, terminal and storage medium |
US20230168638A1 (en) * | 2021-11-29 | 2023-06-01 | Johnson Controls Tyco IP Holdings LLP | Building data platform with digital twin based situational experimentation |
CN115374508A (en) * | 2022-08-09 | 2022-11-22 | 福建中锐网络股份有限公司 | Large and medium-sized reservoir safety inspection system based on virtual reality technology |
CN115688227A (en) * | 2022-10-13 | 2023-02-03 | 长江空间信息技术工程有限公司(武汉) | Digital twin hydraulic engineering operation safety monitoring system and operation method |
CN115759378A (en) * | 2022-11-11 | 2023-03-07 | 黄河万家寨水利枢纽有限公司 | Dam safety analysis early warning system and method based on digital twins |
CN115841071A (en) * | 2022-11-17 | 2023-03-24 | 河海大学 | Digital twin basin scene modeling method based on water circulation dynamic knowledge graph |
CN116367190A (en) * | 2023-02-13 | 2023-06-30 | 上海交通大学 | Digital twin function virtualization method for 6G mobile network |
CN116385680A (en) * | 2023-03-30 | 2023-07-04 | 宁波市水利水电规划设计研究院有限公司 | Three-dimensional immersive dam safety monitoring method and system based on UE technology |
Non-Patent Citations (1)
Title |
---|
蒋云钟;冶运涛;赵红莉;梁犁丽;曹引;顾晶晶;: "水利大数据研究现状与展望", 水力发电学报, no. 10, 25 October 2020 (2020-10-25) * |
Also Published As
Publication number | Publication date |
---|---|
CN117112091B (en) | 2024-02-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108921839A (en) | Continuous casting billet quality detection method, device, electronic equipment and storage medium | |
JP6960168B2 (en) | Local information assimilation equipment and methods and programs for real-time flood hazard mapping | |
CN113989510B (en) | River drainage outlet overflow detection method and device and related equipment | |
CN109186706A (en) | A method of for the early warning of Urban Storm Flood flooding area | |
CN116757097A (en) | Digital twin hydraulic engineering operation and maintenance monitoring system and method | |
CN117370589B (en) | Natural resource full-ecology real-time perception big data management method and management platform | |
CN114511661A (en) | Image rendering method and device, electronic equipment and storage medium | |
CN115060343B (en) | Point cloud-based river water level detection system and detection method | |
CN117112091B (en) | Digital twinning-based water condition and dam safety monitoring system and model decoupling method | |
CN113779167B (en) | Map data processing method, device, equipment and storage medium | |
WO2020188692A1 (en) | Water level measuring device, water level measuring method and water level measuring program | |
CN113963314A (en) | Rainfall monitoring method and device, computer equipment and storage medium | |
CN117372629A (en) | Reservoir visual data supervision control system and method based on digital twinning | |
KR102564218B1 (en) | System for predicting flooding using drone images and artificial intelligence | |
CN114283081B (en) | Depth recovery method based on pyramid acceleration, electronic device and storage medium | |
CN116071362A (en) | Crystal pulling broken bud detection method, device, computer equipment and storage medium | |
CN115995043A (en) | Transmission line hidden danger target identification method and computer readable storage medium | |
US11972562B2 (en) | Method for determining plant growth curve and electronic device | |
WO2023042303A1 (en) | State determination device, state determination method, and recording medium having state determination program stored thereon | |
CN112802044B (en) | Method and system for adjusting oil enclosing edge of bubble curtain in real time | |
CN117669274B (en) | Flood simulation forecasting method and system based on virtual reality | |
CN117824625B (en) | High dam large warehouse underwater environment sensing and composition method based on improved visual odometer | |
CN117975270A (en) | Coastline position change information processing method and device | |
CN118171441A (en) | Flood evolution calculation simulation method and system based on three-dimensional visualization | |
JP2024013635A (en) | Water level estimation system and water level estimation method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |