CN114418321A - Reservoir dam group real-time early warning visual integrated monitoring system based on Internet of things - Google Patents
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Abstract
The invention discloses a reservoir dam group real-time early warning visual integrated monitoring system based on the Internet of things. The data monitoring unit monitors three types of multi-source data of reservoir areas, dam bodies and surrounding environments; the data transmission unit transmits the data monitored by the data monitoring unit to the threshold value revision unit; the threshold revision unit comprises a three-dimensional dynamic numerical model, compares and analyzes the difference between the real-time data monitored by the data monitoring unit and the three-dimensional dynamic numerical model, evaluates and revises the data threshold, and then transmits the revised threshold and the revised monitoring data to the evaluation and early warning unit; the evaluation early warning unit performs weight calculation on the data evaluation indexes to obtain a data monitoring result, and performs visual display; and the cloud computing monitoring unit uploads the monitoring result to the server, and the monitoring data of the plurality of reservoir dams in the region are integrated. The invention utilizes the intelligent characteristics of the monitoring and early warning technology and the geographic information technology to carry out the intelligent monitoring of the reservoir dam cluster.
Description
Technical Field
The invention belongs to the technical field of early warning systems, and particularly relates to a reservoir dam group real-time early warning visual integrated monitoring system based on the Internet of things.
Background
In recent decades, the water conservancy project industry around the world is vigorously developed, more than 9 thousands of reservoir dams with different scales are built in China, the number is the first in the world, and the large number of dams bring huge benefits in the aspects of promoting national economic construction, ensuring the living standard of people, improving the environment and the like. Most of reservoir dams in China are concrete dams and earth-rock dams, wherein the earth-rock dams are mostly built in the 20 th century and the 60 th century, the potential health hazards of dam bodies are very serious, a large number of dams which are overhauled for a long time are limited by monitoring equipment and monitoring technology in the construction period and the operation period, monitoring and diagnosis are not carried out in time, the monitoring and early warning of the existing small and medium reservoir dams are incomplete, high-threat potential safety hazards exist, the traditional manual inspection is time-consuming and labor-consuming, and human errors and the like also exist. In addition, reservoir dams all lack perfect and reliable informatization management nationwide, and only part of large-scale reservoirs realize data reorganization and monitoring and early warning at present. The internet of things is a new technology, is gradually applied to the field of monitoring and early warning of construction engineering, and plays an important role in the aspects of equipment disaster prevention, urban flood early warning and the like. In the field of dam monitoring and early warning, in consideration of the fact that a real-time early warning visual integrated monitoring system which combines modern high and new technology and reservoir dam professional knowledge does not exist, the traditional reservoir dam safety monitoring management system and the early warning and inspection system cannot meet the requirements of monitoring the operation state of a dam and guaranteeing the operation safety of the dam, the invention provides the real-time early warning visual integrated monitoring system for the reservoir dam group based on the Internet of things.
The development of geographic information technology and monitoring and early warning technology provides technical support for the invention. After decades of development, the geographic information technology, with the support of computer software and hardware systems, can collect, store, manage, analyze and display data related to geographic distribution, and is used for analyzing and processing various phenomena and processes distributed in a certain geographic area, so that a target dam group can be connected with a domain name of the internet of things through a wireless communication network to realize interconnection and intercommunication, and the problems of complex planning, decision making and management are solved. The monitoring and early warning technology plays a key role in comprehensively judging data and early warning and monitoring in real time, and the geographic information technology provides important technical support for describing space entities in a digital form. The monitoring and early warning technology is widely applied to engineering construction, safety management and monitoring, and based on interconnection and intercommunication of target dam groups, a manager can timely, accurately and comprehensively master the actual dynamic state of engineering in an internet environment by using a SaaS (software as a service) mode of cloud computing, and performs real-time safety evaluation and early warning, so that a basis is provided for engineering design, management and hidden danger elimination.
In the invention, a real-time early warning visual integrated monitoring system for a reservoir dam group based on the internet of things is provided in consideration of the fact that no real-time early warning visual integrated monitoring system combining modern high and new technology and reservoir dam professional knowledge exists.
Disclosure of Invention
Aiming at the problem that in the field of dam monitoring, no example of applying modern internet of things high and new technology exists, and the traditional reservoir dam safety monitoring management system and the early warning and inspection system cannot meet the requirements for monitoring the operation state of the dam and guaranteeing the operation safety of the dam. The invention provides a reservoir dam group real-time early warning visual integrated monitoring system based on the Internet of things.
The invention is realized by the following technical scheme: a reservoir dam group real-time early warning visual integrated monitoring system based on the Internet of things comprises a data monitoring unit, a data transmission unit, a threshold value revision unit, an evaluation early warning unit and a cloud computing monitoring unit; the data monitoring unit monitors three types of multi-source data of reservoir areas, dam bodies and surrounding environments; the data transmission unit transmits the data monitored by the data monitoring unit to the threshold value revision unit; the threshold revision unit comprises a three-dimensional dynamic numerical model, compares and analyzes the difference between the real-time data monitored by the data monitoring unit and the three-dimensional dynamic numerical model, evaluates and revises the data threshold, and then transmits the revised threshold and the revised monitoring data to the evaluation and early warning unit; the evaluation early warning unit performs weight calculation on the data evaluation indexes to obtain data monitoring results, and performs visual display; the cloud computing monitoring unit uploads the monitoring result to the server, integrates monitoring data of the plurality of reservoir dams in the region, realizes centralized monitoring and early warning of the plurality of reservoir dams, and provides support for interactive feedback between the reservoir dams.
Further, reservoir area monitoring in the data monitoring comprises water level, flow and water body pH value data; monitoring dam bodies of the dam comprises seepage flow, dam body settlement and surface deformation data; the ambient environment monitoring comprises meteorological environment and soil environment data.
Furthermore, the data transmission unit adopts two transmission modes of wired transmission and wireless transmission, wherein the data monitoring unit and the data transmission unit are in wired transmission, the data monitoring unit converts monitoring data of sedimentation, permeability and the like of the reservoir dam into physical quantities of electric signals and the like, and the physical quantities are transmitted to the threshold value revising unit and the evaluation early warning unit in a wireless transmission mode to perform data management operation.
Further, the threshold value revising unit comprises three parts of initial threshold value setting, threshold value revising and real-time threshold value evaluation;
the initial threshold setting is specifically to list corresponding monitoring indexes aiming at monitoring items, and perform initial threshold setting on the monitoring indexes through an artificial intelligence deep learning long-term and short-term memory network.
And the threshold correction uses numerical simulation software, a three-dimensional refined dynamic numerical model is made for the reservoir dam group, the data monitored by the data monitoring unit is compared with the numerical model result for verification, and the numerical simulation prediction result is used for performing threshold correction for the initial threshold.
The real-time threshold value evaluation carries out real-time prediction aiming at the long-term service state of the dam, data monitored by the data monitoring unit is embedded into the three-dimensional dynamic numerical model in real time, the difference between the actually measured index data and the three-dimensional dynamic numerical model is compared and analyzed, so that the threshold value is evaluated and corrected, and the model is updated.
Further, the evaluation early warning unit comprises two parts of establishment of evaluation index weight and visualization of an early warning system:
the establishment of the evaluation index weight refers to index weight calculation of the monitoring index by referring to relevant documents and specifications and using an analytic hierarchy process.
The early warning system is visualized, namely, the obtained evaluation result is displayed, key data such as reservoir safety monitoring data, water level flow data, a gate pump station running state, video pictures, monitoring equipment states and the like are displayed in a centralized mode through an electronic map, and the monitoring result is checked in real time. Meanwhile, meteorological data are introduced, regional meteorological information is displayed on an electronic map in the modes of identification and the like, and short-duration rainfall and early warning information is provided for service management personnel.
Further, the obtaining of the evaluation result means that the evaluation result is obtained by dynamically analyzing the monitoring index by establishing a risk studying and judging mechanism.
Furthermore, the information integration of the single reservoir dam can be realized by superposing the object information of the hydraulic engineering on an electronic map, marking and determining the position of the single reservoir dam in a way of a mark according to the actual longitude and latitude of the hydraulic engineering, marking the single hydraulic engineering as a station, and integrating the real-time information of the single reservoir dam by the station, so that the purpose of the integrated monitoring of the reservoir dam cluster is achieved.
Further, the server integrates a plurality of reservoir dam monitoring data in the area, a reservoir dam group assessment early warning system platform is constructed, according to the regulation of the industry on the early warning threshold value setting standard of the monitoring data, the early warning state of the station shows red, orange, yellow and blue color marks according to the threshold value analysis result, the red, orange, yellow and blue color marks respectively show four early warning levels of severe, heavy and general, and the flashing display is carried out on the reservoir dam group assessment early warning system platform.
The invention has the beneficial effects that: the real-time early warning visual integrated monitoring system can utilize the intelligent characteristics of the monitoring early warning technology and the geographic information technology to carry out the intelligent monitoring of the reservoir dam cluster. The method can be used for reservoir dam groups which are long-term and unsuited to intelligent monitoring in China. The system comprehensively utilizes the monitoring and early warning technology and the geographic information technology, and realizes three functions of real-time data acquisition and transmission, visual display of early warning results and early warning of reservoir dam clusters.
Drawings
Fig. 1 is a schematic diagram of the real-time early warning visual integrated monitoring system for the reservoir dam bank.
Detailed Description
The invention is described in further detail below with reference to the following detailed description and accompanying drawings:
as shown in fig. 1, the invention provides a reservoir dam group real-time early warning visual integrated monitoring system based on the internet of things, which comprises a data monitoring unit, a data transmission unit, a threshold value revision unit, an evaluation early warning unit and a cloud computing monitoring unit;
the data monitoring unit monitors three types of multi-source data of reservoir areas, dam bodies and surrounding environments; reservoir area monitoring in the data monitoring comprises water level, flow and water body pH value data; monitoring dam bodies of the dam comprises seepage flow, dam body settlement and surface deformation data; the ambient environment monitoring comprises meteorological environment and soil environment data.
The data transmission unit transmits the data monitored by the data monitoring unit to the threshold value revision unit; the data transmission unit adopts two transmission modes of wire and wireless, wherein the data monitoring unit and the data transmission unit are in wired transmission, the data monitoring unit converts monitoring data of sedimentation, permeability and the like of the reservoir dam into physical quantities of electric signals and the like, and the physical quantities are transmitted to the threshold value revision unit and the evaluation early warning unit in a wireless transmission mode to carry out data management operation.
The threshold revision unit comprises a three-dimensional dynamic numerical model, compares and analyzes the difference between the real-time data monitored by the data monitoring unit and the three-dimensional dynamic numerical model, evaluates and revises the data threshold, and then transmits the revised threshold and the revised monitoring data to the evaluation and early warning unit; the threshold revision unit comprises three parts of initial threshold setting, threshold correction and real-time threshold evaluation;
the initial threshold setting is specifically to list corresponding monitoring indexes aiming at monitoring items, and perform initial threshold setting on the monitoring indexes through an artificial intelligence deep learning long-term and short-term memory network.
The threshold correction uses numerical simulation software such as Abaqus and the like to make a three-dimensional refined dynamic numerical model for the reservoir dam group, compares and verifies data monitored by the data monitoring unit with a numerical model result, and uses a numerical simulation prediction result to correct the threshold for the initial threshold.
The real-time threshold value evaluation carries out real-time prediction aiming at the long-term service state of the dam, data monitored by the data monitoring unit is embedded into the three-dimensional dynamic numerical model in real time, the difference between the actually measured index data and the three-dimensional dynamic numerical model is compared and analyzed, so that the threshold value is evaluated and corrected, and the model is updated.
The evaluation early warning unit performs weight calculation on the data evaluation indexes to obtain data monitoring results, and performs visual display; the evaluation early warning unit comprises two parts of establishment of evaluation index weight and visualization of an early warning system:
the establishment of the evaluation index weight refers to index weight calculation of the monitoring index by referring to relevant documents and specifications and using an analytic hierarchy process.
The early warning system is visualized, namely, the obtained evaluation result is displayed, key data such as reservoir safety monitoring data, water level flow data, a gate pump station running state, video pictures, monitoring equipment states and the like are displayed in a centralized mode through an electronic map, and the monitoring result is checked in real time. Meanwhile, meteorological data are introduced, regional meteorological information is displayed on an electronic map in the modes of identification and the like, and short-duration rainfall and early warning information is provided for service management personnel.
The obtaining of the evaluation result means that the evaluation result is obtained by dynamically analyzing the monitoring index by establishing a risk studying and judging mechanism.
The risk studying and judging mechanism comprises: firstly, observing whether the actual measurement index is within a threshold range, and judging whether the operation state of the dam structure is safe; analyzing whether the long-term trend of the monitoring index is normal or not, wherein the possibility of nondestructive development exists; calculating the relevance of the measuring points, and judging whether the measuring points can accurately and normally reflect the structural state; analyzing the data statistical rule, recording the real-time statistical value and archiving the real-time statistical value as the current state, providing a comparison value for later evaluation and analysis, and judging whether the evolution rule is normal or not.
The cloud computing monitoring unit uploads the monitoring result to the server, integrates monitoring data of the plurality of reservoir dams in the region, realizes centralized monitoring and early warning of the plurality of reservoir dams, and provides support for interactive feedback between the reservoir dams.
The information integration of the single reservoir dam can be realized by superposing the object information of the hydraulic engineering on an electronic map, marking and determining the position of the object information in a mark mode according to the actual longitude and latitude of the hydraulic engineering, marking the single hydraulic engineering as a station, and integrating the real-time information of the single reservoir dam by the station, so that the purpose of cluster integrated monitoring of the reservoir dam is achieved.
The method comprises the steps that a server integrates a plurality of reservoir dam monitoring data in an area, a reservoir dam group assessment early warning system platform is constructed, according to the regulations of industry on the early warning threshold value setting standards of the monitoring data, the early warning state of a station shows red, orange, yellow and blue color marks according to threshold value analysis results, the red, orange, yellow and blue color marks respectively show four early warning levels which are particularly serious, heavier and general, and the red, orange, yellow and blue color marks are displayed on the reservoir dam group assessment early warning system platform in a flashing mode.
The reservoir dam group real-time early warning platform enables single dams which can be independently addressed to form an interconnected network; the single dam comprises four parts, namely a data monitoring unit, a data transmission unit, a threshold value revising unit and an assessment early warning unit, and server systems for resource supervision and coordination with the cloud computing monitoring unit are arranged in the single dam.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A real-time early warning visual integrated monitoring system for a reservoir dam group based on the Internet of things is characterized by comprising a data monitoring unit, a data transmission unit, a threshold value revision unit, an evaluation early warning unit and a cloud computing monitoring unit; the data monitoring unit monitors three types of multi-source data of reservoir areas, dam bodies and surrounding environments; the data transmission unit transmits the data monitored by the data monitoring unit to the threshold value revision unit; the threshold revision unit comprises a three-dimensional dynamic numerical model, compares and analyzes the difference between the real-time data monitored by the data monitoring unit and the three-dimensional dynamic numerical model, evaluates and revises the data threshold, and then transmits the revised threshold and the revised monitoring data to the evaluation and early warning unit; the evaluation early warning unit performs weight calculation on the data evaluation indexes to obtain data monitoring results, and performs visual display; the cloud computing monitoring unit uploads the monitoring result to the server, integrates monitoring data of the plurality of reservoir dams in the region, realizes centralized monitoring and early warning of the plurality of reservoir dams, and provides support for interactive feedback between the reservoir dams.
2. The real-time early warning visualization integrated monitoring system according to claim 1, wherein reservoir area monitoring in the data monitoring comprises water level, flow and water body pH value data; monitoring dam bodies of the dam comprises seepage flow, dam body settlement and surface deformation data; the ambient environment monitoring comprises meteorological environment and soil environment data.
3. The real-time early warning visualization integrated monitoring system according to claim 1, wherein the data transmission unit adopts two transmission modes of wired and wireless, wherein the data monitoring unit and the data transmission unit are in wired transmission, the data monitoring unit converts monitoring data of sedimentation, permeability and the like of the reservoir dam into physical quantities of electric signals and the like, and the physical quantities are transmitted to the threshold value revision unit and the evaluation early warning unit in a wireless transmission mode to perform data management operation.
4. The real-time early warning visualization integrated monitoring system according to claim 1, wherein the threshold value revising unit comprises three parts of initial threshold value setting, threshold value revising and real-time threshold value evaluation;
the initial threshold setting is specifically to list corresponding monitoring indexes aiming at monitoring items, and perform initial threshold setting on the monitoring indexes through an artificial intelligence deep learning long-term and short-term memory network.
And the threshold correction uses numerical simulation software, a three-dimensional refined dynamic numerical model is made for the reservoir dam group, the data monitored by the data monitoring unit is compared with the numerical model result for verification, and the numerical simulation prediction result is used for performing threshold correction for the initial threshold.
The real-time threshold value evaluation carries out real-time prediction aiming at the long-term service state of the dam, data monitored by the data monitoring unit is embedded into the three-dimensional dynamic numerical model in real time, the difference between the actually measured index data and the three-dimensional dynamic numerical model is compared and analyzed, so that the threshold value is evaluated and corrected, and the model is updated.
5. The real-time early warning visualization integrated monitoring system according to claim 1, wherein the assessment early warning unit comprises two parts of establishment of evaluation index weight and early warning system visualization:
the establishment of the evaluation index weight refers to index weight calculation of the monitoring index by referring to relevant documents and specifications and using an analytic hierarchy process.
The early warning system is visualized, namely, the obtained evaluation result is displayed, key data such as reservoir safety monitoring data, water level flow data, a gate pump station running state, video pictures, monitoring equipment states and the like are displayed in a centralized mode through an electronic map, and the monitoring result is checked in real time. Meanwhile, meteorological data are introduced, regional meteorological information is displayed on an electronic map in the modes of identification and the like, and short-duration rainfall and early warning information is provided for service management personnel.
6. The real-time early warning visualization integration monitoring system according to claim 5, wherein the obtaining of the evaluation result means that a risk studying and judging mechanism is established to dynamically analyze the monitoring index to obtain the evaluation result.
7. The real-time early warning visualization integrated monitoring system according to claim 1, wherein the information integration of the single reservoir dam can be achieved by superimposing hydraulic engineering object information on an electronic map, marking and determining the position of the single reservoir dam in a manner of a marker according to the actual longitude and latitude of the hydraulic engineering, marking the single hydraulic engineering as a station, and integrating the real-time information of the single reservoir dam by the station, so as to achieve the purpose of integrated monitoring of the reservoir dam cluster.
8. The real-time early warning visual integrated monitoring system according to claim 7, characterized in that a server integrates monitoring data of a plurality of reservoir dams in an area, a reservoir dam group assessment early warning system platform is constructed, according to the provision of industry to the early warning threshold setting standard of the monitoring data, the early warning state of a station presents red, orange, yellow and blue color marks according to the threshold analysis result, and respectively represents four early warning levels of severe, severe and general, and is displayed in the reservoir dam group assessment early warning system platform in a flashing manner.
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Cited By (5)
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| CN115218961A (en) * | 2022-07-28 | 2022-10-21 | 邵阳市水利水电勘测设计院 | High-efficiency hydraulic dam safety early warning system |
| CN115798137A (en) * | 2022-08-02 | 2023-03-14 | 中建铁路投资建设集团有限公司 | Three-dimensional visual big data monitoring and early warning system based on Internet of things |
| CN116842339A (en) * | 2023-06-20 | 2023-10-03 | 北京讯腾智慧科技股份有限公司 | Dam data analysis method and device |
| 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 |
| CN117475591A (en) * | 2023-11-13 | 2024-01-30 | 山东华特智慧技术有限公司 | Reservoir dam safety monitoring system based on video and data integration and early warning and positioning method thereof |
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2021
- 2021-12-24 CN CN202111598587.7A patent/CN114418321A/en active Pending
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| CN115218961A (en) * | 2022-07-28 | 2022-10-21 | 邵阳市水利水电勘测设计院 | High-efficiency hydraulic dam safety early warning system |
| CN115798137A (en) * | 2022-08-02 | 2023-03-14 | 中建铁路投资建设集团有限公司 | Three-dimensional visual big data monitoring and early warning system based on Internet of things |
| CN115798137B (en) * | 2022-08-02 | 2023-12-22 | 中建铁路投资建设集团有限公司 | Three-dimensional visual big data monitoring and early warning system based on Internet of things |
| CN116842339A (en) * | 2023-06-20 | 2023-10-03 | 北京讯腾智慧科技股份有限公司 | Dam data analysis method and device |
| CN116842339B (en) * | 2023-06-20 | 2024-03-12 | 北京讯腾智慧科技股份有限公司 | Dam data analysis method and device |
| CN117475591A (en) * | 2023-11-13 | 2024-01-30 | 山东华特智慧技术有限公司 | Reservoir dam safety monitoring system based on video and data integration and early warning and positioning method thereof |
| 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 |
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