CN114998833A - Reservoir supervisory systems based on digit twin - Google Patents
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Abstract
A reservoir supervision system based on digital twins comprises a bottom service module and a cloud service module; the bottom layer service module comprises: the device comprises a data acquisition submodule and an equipment management submodule. The cloud service module comprises: the device comprises a visualization sub-module, a data storage sub-module, a data analysis sub-module, a terrain evolution deduction sub-module, an equipment energy conservation analysis sub-module and a communication interaction sub-module. And the staff accesses the cloud service module through the remote client to realize remote monitoring management. The invention not only realizes the visual supervision of the reservoir operation, but also deeply excavates the data value, realizes the functions of risk water level warning, terrain evolution deduction and equipment energy-saving analysis, and improves the intelligent level of the system. And the interactive request of a remote client can be received, and a control instruction is sent to the bottom service module, so that the remote control of bottom equipment is realized, and the digital twin advantage is better exerted.
Description
Technical Field
The invention belongs to the technical field of visual information, and particularly relates to a reservoir supervision system based on digital twins.
Background
In recent years, the comprehensive national force of China is continuously enhanced, the scientific and technical level is rapidly developed, and higher requirements are put forward for the safe and efficient operation of hydraulic engineering. The water conservancy department highly attaches importance to the water conservancy informatization construction, and provides the overall requirement for driving water conservancy modernization with water conservancy informatization. The Ministry of Water conservancy project of 2021 points out that the intelligent improvement of water conservancy projects is promoted by constructing an intelligent water conservancy guarantee system to build a 1.0 version of the intelligent water conservancy system in 2025. By 2030, the digital, networking and intelligent levels of water conservancy business application are comprehensively improved, and an intelligent water conservancy system version 2.0 is built. By 2035 years, all water conservancy management activities are comprehensively digitalized, networked and intelligentized.
In order to achieve the above object, various water conservancy information systems have been researched and developed. Wu Yun proposes a water conservancy monitoring system and equipment based on the internet of things (Wu Yun, a water conservancy monitoring system and equipment based on the internet of things, Chinese patent CN113589868A, 2021-11-02), combines the reported data of the masses, enlarges the channel for acquiring the data, can clean the sensor, reduces the influence of external factors on monitoring, but does not process the output data, so the problem of non-intuitive data display exists. A water conservancy monitoring method and a water conservancy monitoring system based on a digital twin are provided in the book (Chinese patent CN113139659A, 2021-07-20) so that the running state of a water conservancy station can be visually presented by a digital twin display model, and a user can conveniently and visually obtain the running state of the water conservancy station. However, the two systems cannot perform deep analysis on the acquired data, have low intelligent degree and cannot play a role in auxiliary management.
Disclosure of Invention
The invention overcomes the problems in the prior art and provides a reservoir supervision system based on digital twins. The invention discloses a reservoir supervision system based on digital twins. The bottom layer service module sends current reservoir operation data, reservoir equipment operation state information and video monitoring data of each area of the reservoir to the cloud service module so that the cloud service module can store and analyze the data; the cloud service module sends control instruction information of the reservoir equipment to the bottom service module, wherein the control instruction information comprises instruction information for controlling the reservoir equipment to be switched on and switched off and adjusting the running power of the equipment.
The bottom layer service module comprises: the device comprises a data acquisition submodule and an equipment management submodule.
The equipment management submodule manages the monitoring sensor, the monitoring camera, the network equipment and the reservoir basic lighting equipment, controls the equipment switch and monitors the running state of the equipment. After the equipment management submodule acquires the running state of the reservoir equipment, the equipment management submodule carries out information interaction with a communication interaction submodule of the cloud service module and sends current running state information of the reservoir equipment to the cloud service module; and meanwhile, receiving control instruction information of the reservoir equipment sent by the cloud service module, and realizing control over the switch of the reservoir equipment and the running power of the equipment.
The data acquisition submodule is in physical connection with the monitoring sensor and the monitoring camera through network equipment; acquiring current reservoir operation data including water level, water temperature and rainfall through a monitoring sensor; acquiring video monitoring data of each area of the reservoir through a monitoring camera; the data acquisition submodule sends reservoir operation data and video monitoring data of each area of the reservoir to the cloud service module, and the reservoir operation data and the video monitoring data of each area of the reservoir are stored in the data storage submodule through the communication interaction submodule of the cloud service module.
The cloud service module comprises: the device comprises a visualization sub-module, a data storage sub-module, a data analysis sub-module, a terrain evolution deduction sub-module, an equipment energy conservation analysis sub-module and a communication interaction sub-module.
The cloud service module takes the communication interaction sub-module as a node, and establishes information interaction among the sub-modules in the cloud service module. The data storage sub-module reads the reservoir operation data, the reservoir equipment operation state information and the video monitoring data of each area of the reservoir sent by the bottom layer service module through the communication interaction sub-module, reads the three-dimensional model storage path information, the three-dimensional chart data and the risk warning information sent by the other sub-modules in the cloud service module, and stores the three-dimensional model storage path information, the three-dimensional chart data and the risk warning information; and meanwhile, the data information is sent to the communication interaction submodule when being called by the system, and is read by other submodules in the cloud service module. And the visualization sub-module reads the three-dimensional model storage path information, the three-dimensional chart data and the risk alarm information through the communication interaction sub-module. And the data analysis submodule reads the reservoir operation data through the communication interaction submodule and sends the three-dimensional chart data and the risk warning information to the communication interaction submodule. The terrain evolution deduction submodule reads video monitoring data of each region of the reservoir through the communication interaction submodule and sends three-dimensional model storage path information to the communication interaction submodule. The equipment energy-saving analysis submodule reads the video monitoring data of each area of the reservoir and the running state information of the reservoir equipment through the communication interaction submodule and sends the control instruction information of the reservoir equipment to the communication interaction submodule.
And the staff accesses the cloud service module through the remote client to realize remote monitoring management. And the remote client sends a communication request to the cloud service module, and establishes two-way communication after authentication. The cloud service module can be connected with a plurality of remote clients, supports the simultaneous response of interaction requests of different remote clients, receives the equipment control requests of the remote clients, issues control instructions to the bottom service module through the communication interaction submodule, and then realizes the remote control of bottom equipment through the equipment management submodule.
The visualization submodule reads three-dimensional model storage path information stored in the data storage submodule to obtain a three-dimensional scene model, and three-dimensional scene visualization display is carried out; and reading chart information sent by the data analysis submodule, and performing data visual display.
And the data storage submodule stores the three-dimensional scene model storage path information, the user data and the reservoir operation data sent by the bottom layer service module in a designed data table and supports system calling.
The data analysis submodule reads reservoir operation data in the data storage submodule, constructs character data into a visual chart based on an ECharts data visual chart library, and sends the visual chart to the visual submodule for display; and analyzing the water level information, if the current water level exceeds the safe water level of the reservoir, sending risk warning information to a visualization module for displaying, and assisting the staff in carrying out risk treatment.
The terrain evolution deduction sub-module can be divided into a terrain rapid construction unit, a terrain evolution analysis unit and a terrain evolution prediction unit. And the terrain rapid construction unit is used for calling the monitoring camera to obtain a reservoir terrain full-view picture, cutting, filtering and sequencing the picture, constructing a training data set, sending the training data set into a preset deep learning algorithm for model training, constructing a reservoir three-dimensional scene model, and outputting the reservoir three-dimensional scene model to the terrain evolution analysis unit.
The terrain evolution analysis unit analyzes the newly constructed reservoir three-dimensional scene model and the initial reservoir three-dimensional scene model according to a terrain feature extraction algorithm based on TIN to obtain the gradient, the slope direction, the surface area, the sectional area and the ground concavity and convexity of the reservoir terrain in different periods, calculates the change rate of the data, transmits the change rate to the terrain evolution prediction unit and the data analysis submodule, constructs a visual chart through the data analysis submodule, and transmits the visual chart to the visual module for display.
And the terrain evolution prediction unit predicts and deduces the terrain after one year according to the data, constructs a reservoir terrain prediction three-dimensional model, and writes the storage path information of the reservoir terrain prediction three-dimensional model into the data storage submodule. The visualization submodule reads storage path information of the reservoir terrain prediction three-dimensional model from the data storage submodule, displays the reservoir terrain prediction three-dimensional model, and provides a reference basis for workers to repair reservoir terrains.
The equipment energy-saving analysis submodule calls a monitoring camera to acquire video monitoring data of each area of the reservoir, and processes the data one by one:
1) firstly, carrying out pedestrian target detection on a first frame of data by using an integral channel algorithm;
2) carrying out target tracking by using a KCF algorithm and detecting frame by frame;
3) counting pedestrians to obtain pedestrian flow information of each area;
screening out the position of an area where no person passes within one hour, and sending the position to a visualization submodule for displaying; sending a message notice for reducing the power of the basic reservoir lighting equipment in the area with less pedestrian flow to a remote client through a communication interaction sub-module, and sending a control instruction to reduce the power of the basic reservoir lighting equipment in the designated area by a worker through the remote client;
the communication interaction sub-module establishes an RPC server and a client by using a C/S architecture, the system deploys the server on a cloud server, and the client is deployed on remote equipment. In the normal operation process of the server, a plurality of co-programs are established to simultaneously access a plurality of remote clients, and each co-program independently processes the connection and the request of the clients. And receiving an interactive request of a remote client, and simultaneously establishing bidirectional communication connection with a bottom layer server to realize main data transmission of the system.
Compared with the prior art, the invention has the beneficial effects that: the system adopts a digital twin method to realize the monitoring and auxiliary management of the reservoir. The reservoir operation visual monitoring is realized, the data value is deeply excavated, the risk water level warning function, the terrain evolution deduction function and the equipment energy-saving analysis function are realized, and the system intelligence level is improved. And the interactive request of a remote client can be received, and a control instruction is sent to the bottom service module, so that the remote control of bottom equipment is realized, and the digital twin advantage is better exerted.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are included to illustrate an exemplary embodiment of the invention and not to limit the invention.
Fig. 1 is a general architecture diagram of a digital twin-based reservoir supervision system according to the present invention.
Fig. 2 is a control flow diagram of the terrain evolution deduction sub-module of the present invention.
Detailed Description
The invention is further described in detail below with reference to the accompanying drawings and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
Referring to the attached figure 1, the reservoir supervision system based on the digital twin comprises a bottom layer service module and a cloud service module. The bottom service module sends current reservoir operation data, reservoir equipment operation state information and video monitoring data of each area of the reservoir to the cloud service module so that the cloud service module can store and analyze the data; the cloud service module sends control instruction information of the reservoir equipment to the bottom service module, wherein the control instruction information comprises instruction information for controlling the reservoir equipment to be switched on and switched off and adjusting the running power of the equipment.
The bottom layer service module comprises: the device comprises a data acquisition submodule and an equipment management submodule.
The equipment management submodule manages the monitoring sensor, the monitoring camera, the network equipment and the reservoir basic lighting equipment, controls the equipment switch and monitors the running state of the equipment. After the equipment management submodule acquires the running state of the reservoir equipment, the equipment management submodule carries out information interaction with a communication interaction submodule of the cloud service module and sends current running state information of the reservoir equipment to the cloud service module; and meanwhile, the control instruction information of the reservoir equipment, which is sent by the cloud service module, is received, and the control on the switch of the reservoir equipment and the running power of the equipment is realized.
The data acquisition submodule is in physical connection with the monitoring sensor and the monitoring camera through network equipment; acquiring current reservoir operation data including water level, water temperature and rainfall through a monitoring sensor; acquiring video monitoring data of each area of the reservoir through a monitoring camera; the data acquisition submodule sends reservoir operation data and video monitoring data of each area of the reservoir to the cloud service module, and the reservoir operation data and the video monitoring data of each area of the reservoir are stored in the data storage submodule through the communication interaction submodule of the cloud service module.
The cloud service module comprises: the device comprises a visualization sub-module, a data storage sub-module, a data analysis sub-module, a terrain evolution deduction sub-module, an equipment energy conservation analysis sub-module and a communication interaction sub-module.
The cloud service module takes the communication interaction sub-module as a node, and establishes information interaction among the sub-modules in the cloud service module. The data storage sub-module reads the reservoir operation data, the reservoir equipment operation state information and the video monitoring data of each area of the reservoir sent by the bottom layer service module through the communication interaction sub-module, reads the three-dimensional model storage path information, the three-dimensional chart data and the risk warning information sent by the other sub-modules in the cloud service module, and stores the three-dimensional model storage path information, the three-dimensional chart data and the risk warning information; and meanwhile, the data information is sent to the communication interaction submodule when being called by the system, and is read by other submodules in the cloud service module. And the visualization sub-module reads the three-dimensional model storage path information, the three-dimensional chart data and the risk alarm information through the communication interaction sub-module. And the data analysis submodule reads the reservoir operation data through the communication interaction submodule and sends the three-dimensional chart data and the risk warning information to the communication interaction submodule. The terrain evolution deduction submodule reads video monitoring data of each region of the reservoir through the communication interaction submodule and sends three-dimensional model storage path information to the communication interaction submodule. The equipment energy-saving analysis submodule reads the video monitoring data of each area of the reservoir and the running state information of the reservoir equipment through the communication interaction submodule and sends the control instruction information of the reservoir equipment to the communication interaction submodule.
And the staff accesses the cloud service module through the remote client to realize remote monitoring management. And the remote client sends a communication request to the cloud service module, and establishes two-way communication after identity authentication. The cloud service module can be connected with a plurality of remote clients, supports the simultaneous response of interaction requests of different remote clients, receives the equipment control requests of the remote clients, issues control instructions to the bottom service module through the communication interaction submodule, and then realizes the remote control of bottom equipment through the equipment management submodule.
The visualization submodule reads three-dimensional model storage path information stored in the data storage submodule to obtain a three-dimensional scene model, and three-dimensional scene visualization display is carried out; and reading the chart information sent by the data analysis submodule, and performing data visualization display.
And the data storage submodule stores the three-dimensional scene model storage path information, the user data and the reservoir operation data sent by the bottom layer service module in a designed data table and supports system calling.
The data analysis submodule reads reservoir operation data in the data storage submodule, constructs character data into a visual chart based on an ECharts data visual chart library, and sends the visual chart to the visual submodule for display; and analyzing the water level information, if the current water level exceeds the safe water level of the reservoir, sending risk warning information to a visual module for displaying, and assisting workers in carrying out risk treatment. Referring to fig. 2, the terrain evolution deduction sub-module may be divided into a terrain rapid construction unit, a terrain evolution analysis unit and a terrain evolution prediction unit. And a terrain rapid construction unit, which is used for calling a monitoring camera to obtain a reservoir terrain full-view photo, cutting, filtering and sequencing the photo, constructing a training data set, sending the training data set into a preset deep learning algorithm to perform model training, and constructing a reservoir three-dimensional scene model. The terrain evolution analysis unit analyzes the newly constructed reservoir three-dimensional scene model and the initial reservoir three-dimensional scene model according to a terrain feature extraction algorithm based on TIN to obtain the gradient, the slope direction, the surface area, the sectional area and the ground concavity and convexity of the reservoir terrain in different periods, the change rate of the data is calculated, a visual chart is constructed through the data analysis submodule and is transmitted to the visual module to be displayed, meanwhile, the terrain evolution prediction unit predicts and deduces the terrain after one year according to the data to construct a reservoir terrain prediction three-dimensional model, and the storage path information of the reservoir terrain prediction three-dimensional model is written into the data storage submodule. The visualization submodule reads path information of the reservoir terrain prediction three-dimensional model from the data storage submodule, displays the reservoir terrain prediction three-dimensional model and provides a reference basis for workers to repair reservoir terrains;
the equipment energy-saving analysis submodule calls a monitoring camera to acquire video monitoring data of each area of the reservoir, and processes the data one by one:
1) firstly, carrying out pedestrian target detection on a first frame of data by using an integral channel algorithm;
2) carrying out target tracking by using a KCF algorithm and detecting frame by frame;
3) counting pedestrians to obtain pedestrian flow information of each area;
screening out the area positions where no person passes within one hour, and sending the area positions to a visualization submodule for displaying; sending a message notice for reducing the power of the basic reservoir lighting equipment in the area with less pedestrian flow to a remote client through a communication interaction sub-module, and sending a control instruction to reduce the power of the basic reservoir lighting equipment in the designated area by a worker through the remote client;
the communication interaction sub-module establishes an RPC server and a client by a C/S architecture, the system deploys the server on a cloud server, and the client is deployed on remote equipment. In the normal operation process of the server, a plurality of coroutines are created to access a plurality of remote clients simultaneously, and each coroutine independently processes the connection and the request of the clients. And receiving an interactive request of a remote client, and simultaneously establishing bidirectional communication connection with a bottom layer server to realize data transmission of the system.
It is emphasized that the embodiments described herein are merely illustrative of implementations of the inventive concept and that the scope of the invention should not be considered limited to the specific forms set forth in the examples but rather the scope of the invention is to be accorded the full scope of equivalents that can occur to those skilled in the art upon reading the teachings herein.
Claims (4)
1. A reservoir supervisory systems based on digit twin which characterized in that: the system comprises a bottom service module and a cloud service module; the bottom layer service module sends current reservoir operation data, reservoir equipment operation state information and video monitoring data of each area of the reservoir to the cloud service module so that the cloud service module can store and analyze the data; the cloud service module sends control instruction information of the reservoir equipment to the bottom service module, wherein the control instruction information comprises instruction information for controlling the switch of the reservoir equipment and adjusting the running power of the equipment;
the bottom layer service module comprises: the data acquisition submodule and the equipment management submodule;
the equipment management submodule is used for managing the monitoring sensor, the monitoring camera, the network equipment and the reservoir basic lighting equipment, controlling the equipment switch and monitoring the running state of the equipment; after the equipment management submodule acquires the running state of the reservoir equipment, the equipment management submodule carries out information interaction with a communication interaction submodule of the cloud service module and sends current running state information of the reservoir equipment to the cloud service module; meanwhile, receiving control instruction information of the reservoir equipment sent by the cloud service module, and realizing control over the switch of the reservoir equipment and the running power of the equipment;
the data acquisition submodule is in physical connection with the monitoring sensor and the monitoring camera through network equipment; acquiring current reservoir operation data including water level, water temperature and rainfall through a monitoring sensor; acquiring video monitoring data of each area of the reservoir through a monitoring camera; the data acquisition submodule sends reservoir operation data and video monitoring data of each area of the reservoir to the cloud service module, and the reservoir operation data and the video monitoring data are stored in the data storage submodule through the communication interaction submodule of the cloud service module;
the cloud service module comprises: the device comprises a visualization sub-module, a data storage sub-module, a data analysis sub-module, a terrain evolution deduction sub-module, an equipment energy-saving analysis sub-module and a communication interaction sub-module;
the cloud service module takes the communication interaction sub-module as a node and establishes information interaction among the sub-modules in the cloud service module; the data storage sub-module reads the reservoir operation data, the reservoir equipment operation state information and the video monitoring data of each area of the reservoir sent by the bottom layer service module through the communication interaction sub-module, reads the three-dimensional model storage path information, the three-dimensional chart data and the risk warning information sent by the other sub-modules in the cloud service module, and stores the three-dimensional model storage path information, the three-dimensional chart data and the risk warning information; meanwhile, the data information is sent to a communication interaction submodule when being called by a system, and is read by other submodules in the cloud service module; the visualization sub-module reads the three-dimensional model storage path information, the three-dimensional chart data and the risk warning information through the communication interaction sub-module; the data analysis sub-module reads the reservoir operation data through the communication interaction sub-module and sends three-dimensional chart data and risk warning information to the communication interaction sub-module; the terrain evolution deduction submodule reads video monitoring data of each region of the reservoir through the communication interaction submodule and sends three-dimensional model storage path information to the communication interaction submodule; the equipment energy-saving analysis submodule reads the video monitoring data of each area of the reservoir and the running state information of the reservoir equipment through the communication interaction submodule and sends the control instruction information of the reservoir equipment to the communication interaction submodule;
the working personnel access the cloud service module through the remote client to realize remote monitoring management; the remote client sends a communication request to the cloud service module, and establishes two-way communication after identity authentication; the cloud service module can be connected with a plurality of remote clients, supports the simultaneous response of interaction requests of different remote clients, receives the equipment control request of the remote client, issues a control instruction to the bottom service module through the communication interaction submodule, and then realizes the remote control of bottom equipment through the equipment management submodule;
the visualization submodule reads three-dimensional model storage path information stored in the data storage submodule to obtain a three-dimensional scene model, and three-dimensional scene visualization display is carried out; reading chart information sent by the data analysis submodule, and performing data visualization display;
the data storage submodule stores the three-dimensional scene model storage path information, the user data and the reservoir operation data sent by the bottom service module in a designed data table and supports system calling;
the data analysis submodule reads the reservoir operation data in the data storage submodule, constructs a visual chart based on an ECharts data visual chart library from the character data and sends the visual chart to the visual submodule for displaying; analyzing the water level information, and if the current water level exceeds the safe water level of the reservoir, sending risk warning information to a visualization module for displaying to assist workers in risk treatment;
the terrain evolution deduction sub-module can be divided into a terrain rapid construction unit, a terrain evolution analysis unit and a terrain evolution prediction unit; the rapid topographic construction unit is used for calling a monitoring camera to obtain a reservoir topographic panorama picture, cutting, filtering and sequencing the picture, constructing a training data set, sending the training data set into a preset deep learning algorithm to perform model training, and constructing a reservoir three-dimensional scene model; the terrain evolution analysis unit analyzes the newly constructed reservoir three-dimensional scene model and the initial reservoir three-dimensional scene model according to a terrain feature extraction algorithm based on TIN to obtain the gradient, the slope direction, the surface area, the sectional area and the ground concavity and convexity of the reservoir terrain in different periods, calculates the change rate of the data, constructs a visual chart through a data analysis submodule, transmits the visual chart to a visual module for display, and simultaneously carries out prediction deduction on the terrain after one year according to the data to construct a reservoir terrain prediction three-dimensional model, and writes storage path information of the reservoir terrain prediction three-dimensional model into a data storage submodule; the visualization submodule reads storage path information of the reservoir terrain prediction three-dimensional model from the data storage submodule, displays the reservoir terrain prediction three-dimensional model and provides a reference basis for workers to repair reservoir terrains;
the equipment energy-saving analysis submodule calls a monitoring camera to acquire video monitoring data of each area of the reservoir, and processes the data one by one:
1) firstly, carrying out pedestrian target detection on a first frame of data by using an integral channel algorithm;
2) carrying out target tracking by using a KCF algorithm and detecting frame by frame;
3) counting pedestrians to obtain pedestrian flow information of each area;
screening out the position of an area where no person passes within one hour, and sending the position to a visualization submodule for displaying; sending a message notice for reducing the power of the basic reservoir lighting equipment in the area with less pedestrian flow to a remote client through a communication interaction sub-module, and sending a control instruction to reduce the power of the basic reservoir lighting equipment in the designated area by a worker through the remote client;
the communication interaction sub-module establishes an RPC server and a client by a C/S architecture, the system deploys the server on a cloud server, and the client is deployed on remote equipment; in the normal operation process of a server, a plurality of co-programs are established to simultaneously access a plurality of remote clients, and each co-program independently processes the connection and the request of the clients; and receiving an interactive request of a remote client, and simultaneously establishing bidirectional communication connection with a bottom layer server to realize main data transmission of the system.
2. A digital twin based reservoir supervision system according to claim 1 in which: the terrain evolution deduction sub-module comprises a terrain rapid construction unit, a terrain evolution analysis unit and a terrain evolution prediction unit; the rapid terrain construction unit is used for calling a monitoring camera to obtain a reservoir terrain overall picture, cutting, filtering and sequencing the picture, constructing a training data set, sending the training data set into a preset deep learning algorithm for model training, constructing a reservoir three-dimensional scene model, and outputting the reservoir three-dimensional scene model to the terrain evolution analysis unit;
the terrain evolution analysis unit analyzes the newly-constructed reservoir three-dimensional scene model and the initial reservoir three-dimensional scene model according to a terrain feature extraction algorithm based on TIN to obtain the slope, the slope direction, the surface area, the sectional area and the ground concavity and convexity of the reservoir terrain in different periods, calculates the change rate of the data, transmits the change rate to the terrain evolution prediction unit and the data analysis submodule, constructs a visual chart through the data analysis submodule, and transmits the visual chart to the visual module for display;
the terrain evolution prediction unit carries out prediction deduction on the terrain after one year according to the data, constructs a reservoir terrain prediction three-dimensional model, and writes storage path information of the reservoir terrain prediction three-dimensional model into the data storage submodule; the visualization sub-module reads the storage path information of the reservoir terrain prediction three-dimensional model from the data storage sub-module, displays the reservoir terrain prediction three-dimensional model and provides a reference basis for workers to repair reservoir terrains.
3. A digital twin based reservoir supervision system according to claim 1 in which: the equipment energy-saving analysis submodule calls a monitoring camera to acquire video monitoring data of each area of the reservoir, processes the data one by one, and specifically comprises the following steps:
1) firstly, carrying out pedestrian target detection on a first frame of data by using an integral channel algorithm;
2) carrying out target tracking by using a KCF algorithm and detecting frame by frame;
3) counting pedestrians to obtain pedestrian flow information of each area;
screening out the position of an area where no person passes within one hour, and sending the position to a visualization submodule for displaying; and sending a message notice for reducing the brightness of the basic reservoir lighting equipment in the area with less pedestrian flow to the remote client through the communication interaction sub-module, and sending a control instruction to the basic reservoir lighting equipment in the designated area to reduce the brightness by the staff through the remote client.
4. A digital twin based reservoir supervision system according to claim 1 in which: the system adopts a digital twin method to realize the monitoring and auxiliary management of the reservoir; the reservoir operation visual monitoring is realized, the data value is deeply excavated, the risk water level warning function, the terrain evolution deduction function and the equipment energy-saving analysis function are realized, and the system intelligence level is improved; and the interactive request of a remote client can be received, and a remote control instruction is sent to the bottom equipment module, so that the digital twin advantage is better played.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115600438A (en) * | 2022-11-25 | 2023-01-13 | 河海大学（Cn） | Data processing method and system suitable for hydraulic engineering |
| 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 |
| CN115988182A (en) * | 2023-03-14 | 2023-04-18 | 宏景科技股份有限公司 | Remote video monitoring method and system facing digital twin |
| CN117291551A (en) * | 2023-11-24 | 2023-12-26 | 南通欧贝达电子科技有限公司 | Environmental monitoring early warning system based on digital visualization |
| CN117372629A (en) * | 2023-12-07 | 2024-01-09 | 山东圣瑞信息技术有限公司 | Reservoir visual data supervision control system and method based on digital twinning |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| 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 |
| CN115600438A (en) * | 2022-11-25 | 2023-01-13 | 河海大学（Cn） | Data processing method and system suitable for hydraulic engineering |
| CN115600438B (en) * | 2022-11-25 | 2023-03-07 | 河海大学 | Data processing method and system suitable for hydraulic engineering |
| CN115988182A (en) * | 2023-03-14 | 2023-04-18 | 宏景科技股份有限公司 | Remote video monitoring method and system facing digital twin |
| CN117291551A (en) * | 2023-11-24 | 2023-12-26 | 南通欧贝达电子科技有限公司 | Environmental monitoring early warning system based on digital visualization |
| CN117291551B (en) * | 2023-11-24 | 2024-03-08 | 南通欧贝达电子科技有限公司 | Environmental monitoring early warning system based on digital visualization |
| CN117372629A (en) * | 2023-12-07 | 2024-01-09 | 山东圣瑞信息技术有限公司 | Reservoir visual data supervision control system and method based on digital twinning |
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