Slope three-dimensional data monitoring system based on cloud computing data comparison processing

Abstract

The invention discloses a side slope three-dimensional data monitoring system based on cloud computing data comparison processing, and relates to the technical field of side slope disaster monitoring construction, and the system comprises a positioning module, a data collection module, a central control analysis module, an alarm module, and a display module. The data acquisition module, the positioning module, the alarm module and the display module are all connected with the central control analysis module; the positioning module comprises a millimeter-level GNSS displacement monitoring module, and the GNSS displacement monitoring module adopts a high-precision and real-time displacement monitoring technology and is used for realizing millimeter-level real-time monitoring on three-dimensional displacement of a slope target point; the system realizes real-time monitoring and early warning of the slope state, provides high-precision positioning data by using a global navigation satellite system, and realizes real-time monitoring of the slope by combining a computer technology and a data communication technology. The system can obtain three-dimensional data of the side slope, perform data processing and analysis, construct a three-dimensional model of the side slope, and realize monitoring of the whole life cycle of the side slope.

Description

Technical Field

[0001] The present invention relates to the technical field of slope disaster monitoring construction, and specifically to a monitoring system for three-dimensional slope data based on cloud computing data comparison and processing. Background Art

[0002] With the booming development of energy projects such as water conservancy and hydropower, transportation facilities, and the Sichuan-Tibet Railway, the accompanying increase in slope structure projects has led to the combination and connection of fragmented and loose rock strata into a whole, which is anchored to the stable rock mass deep in the strata. By applying prestress, the soft rock mass within the length range of the anchor cable is compacted, preventing the displacement of the cracked and loose rock mass, thereby achieving the purpose of strengthening the slope. If the slope collapses and loosens, it will cause geological disasters such as landslides, ground collapses, and ground settlements, which not only threaten people's lives and property safety but also pose a severe challenge to the ecological environment. In the face of this situation, a slope monitoring system is needed to build a solid defense line for geological safety, used for accurate monitoring and timely warning, becoming an invisible shield in the field of geological safety. Slope monitoring is to identify and monitor various internal and external factors that cause slope instability and damage by means of observation, monitoring, and other methods.

[0003] On this basis, through a patent network search, Chinese Patent Publication No. CN109446726A discloses a slope monitoring system for obtaining three-dimensional slope deformation data based on big data analysis;

[0004] It can be seen that there are deficiencies in the above patent applications: the existing slope monitoring data is inaccurate, and the slope monitoring system lacks a high-precision displacement monitoring module, which makes the slope monitoring system prone to inaccurate detection and positioning, reducing the accurate capture rate of the sensitive micro-displacement changes of the slope, resulting in poor detection accuracy of the existing technology data and the inability to obtain slope data information in a timely and accurate manner.

[0005] In view of the above problems, a monitoring system for three-dimensional slope data based on cloud computing data comparison and processing is proposed. Summary of the Invention

[0006] The purpose of the present invention is to provide a monitoring system for three-dimensional slope data based on cloud computing data comparison and processing. By using this device for work, the problems in the above background that the existing slope monitoring data is inaccurate, the slope monitoring system lacks a high-precision displacement monitoring module, which makes the slope monitoring system prone to inaccurate detection and positioning, reducing the accurate capture rate of the sensitive micro-displacement changes of the slope, resulting in poor detection accuracy of the existing technology data and the inability to obtain slope data information in a timely and accurate manner are solved.

[0007] To achieve the above object, the present invention provides the following technical solution: A monitoring system for three-dimensional data of a slope based on cloud computing data comparison processing, which includes: a positioning module, a data acquisition module, a central control analysis module, an alarm module, and a display module. The data acquisition module, the positioning module, the alarm module, and the display module are all connected to the central control analysis module;

[0008] Preferably, the positioning module includes a millimeter-level GNSS displacement monitoring module. The GNSS displacement monitoring module is a high-precision and real-time displacement monitoring technology used to achieve real-time monitoring of the three-dimensional displacement of slope target points at the millimeter level or even sub-millimeter level. The GNSS displacement monitoring module includes a GNSS receiver, an antenna, a data transmission module, and data processing and analysis software.

[0009] The GNSS receiver is responsible for receiving GNSS signals from satellites and is the core component of the GNSS displacement monitoring module;

[0010] The antenna is used to receive satellite signals and transmit them to the GNSS receiver.

[0011] The data transmission module transmits the data processed by the GNSS receiver to the data processing center or the user terminal;

[0012] The data processing and analysis software processes and analyzes the received data, obtains the displacement change of the target object, and is used for the slope monitoring system to keenly capture the minute displacement changes of the slope with its millimeter-level positioning accuracy.

[0013] Multi-satellite signal reception: The GNSS displacement monitoring station receives signals from multiple navigation satellites through its built-in antenna. These satellite signals contain key information such as time and orbital parameters, providing basic data for displacement monitoring.

[0014] High-precision positioning algorithm: After receiving the satellite signals, the GNSS receiver uses these signals for high-precision positioning calculations. Through complex algorithms, such as differential positioning technology (such as RTK, real-time kinematic differential technology), the positioning accuracy can be significantly improved to reach the millimeter level or even sub-millimeter level.

[0015] Data processing and analysis: The GNSS receiver transmits the positioning data to the data processing unit, which will process and analyze the data in real time. By comparing the position data at different time points, the displacement amount of the ground surface point can be accurately calculated.

[0016] Preferably, the data acquisition module includes a sliding prediction module, an image acquisition module, an inclination monitoring module, and a crack monitoring module; wherein, the sliding prediction module is connected to the central control analysis module and is used to predict the slope sliding displacement according to the monitored data through data processing software; the image acquisition module is connected to the main central control analysis module and is used to collect slope image data information through a camera and feedback the information to the display module for facilitating the detection personnel to understand the surrounding picture of the slope in real time; the inclination monitoring module is connected to the central control analysis module and is used to monitor the slope inclination data information in real time through slope inclinometers; the crack monitoring module is connected to the central control analysis module and is used to monitor the slope crack data information in real time through crack gauges.

[0017] Preferably, the central control analysis module is connected to the positioning module, the data acquisition module, the alarm module, and the display module and is used to control the normal operation of each module through a single-chip microcomputer; the central control analysis module includes a data processing module, which is used to eliminate the large-error and incorrect data of slope detection through data processing software and realize the processing processes such as data collection, storage, analysis, and mining by using cloud computing technology.

[0018] Preferably, the central control analysis module is used to comprehensively analyze the slope information of the data acquisition module, judge whether there is a dangerous situation of loose collapse on the slope, and send the obtained analysis result to the alarm module; when it is judged that there is a dangerous situation on the slope, the alarm module will issue a warning reminder to alert the detection personnel around the slope, and the detection personnel can timely handle and maintain the slope.

[0019] Preferably, the display module includes a display screen. The image acquisition module sends the information to the main central control analysis module through a camera. The main central control analysis module analyzes the collected slope image data information and then sends the analysis result to the display screen to feedback the picture information on the display screen, facilitating the detection personnel to understand the slope information in real time and used to display the monitoring system interface and the image, inclination, and crack data information of the monitored slope through the display.

[0020] Preferably, the positioning module further includes a GNSS antenna cover, a lightning rod, and a solar panel; the GNSS antenna cover has strong corrosion resistance, effectively protects the antenna from the influence of harsh environments, and ensures the continuity and accuracy of the system monitoring data.

[0021] Preferably, the lightning rod and the solar panel are used to enable the slope monitoring system to work stably under various weather conditions, extend the maintenance cycle, reduce the operation cost, and ensure the safety and environmental protection performance of the positioning module.

[0022] Preferably, the central control analysis module includes a controller, a wireless module, a data upload module and a control terminal; the controller connection end is connected to a positioning module, a data collection module, an alarm module and a display module.

[0023] Preferably, the control terminal includes a computer host, and the controller is used to receive various data information sent, analyze it, and feed back the analysis results.

[0024] Preferably, the controller processes and analyzes the received three-dimensional monitoring data of the slope, and uses modeling software to construct a three-dimensional model of the slope based on the monitoring data, thereby realizing monitoring of the slope throughout its entire life cycle.

[0025] The data upload module is used to quickly and accurately transmit the monitored slope data to the environmental monitoring platform. The slope monitoring system supports the Beidou-3 satellite signal system, ensuring the stability and reliability of data transmission. The data transmission module uploads data via 4G. The system can easily realize remote data upload without on-site wiring, breaking the distance limit.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] 1. The system of the present invention integrates a variety of advanced technologies to achieve real-time monitoring and early warning of slope conditions. The system uses the Global Navigation Satellite System (GNSS) to provide high-precision positioning data, combined with computer technology and data communication technology, to achieve real-time monitoring of slope displacement. Through modules such as image acquisition, inclination monitoring, and crack monitoring, the system can obtain three-dimensional data of the slope, and perform data processing and analysis to construct a three-dimensional model of the slope, realizing monitoring of the slope throughout its life cycle. In addition, the system also supports remote data transmission and management, and can upload monitoring data to the cloud platform in real time to achieve remote early warning and disaster analysis, providing a decision-making basis for the long-term operation and maintenance of the slope.

[0028] 2. The core of the slope monitoring system lies in its high-precision GNSS displacement monitoring stations, which are constructed from components such as GNSS antennas, radomes, lightning rods, solar panels, a main control chassis, and mounting brackets. The slope monitoring system, with its millimeter-level positioning accuracy, ensures sensitive detection of minute slope displacement changes. The corrosion-resistant and aging-resistant radome effectively protects the antenna from harsh environmental conditions, ensuring the continuity and accuracy of monitoring data. Furthermore, the configuration of lightning rods and a solar power supply system demonstrates the designers' deep understanding and implementation of safety and environmental protection concepts, enabling the slope monitoring system to operate stably in all weather conditions and reducing operating costs.

[0029] 3. The slope monitoring system has a powerful real-time data acquisition ability. Through GNSS technology, the system can continuously collect slope displacement data and perform real-time processing and analysis with the help of a cloud computing platform. The slope monitoring system supports setting warning levels and sends alarms to management personnel in an intuitive and easy-to-understand manner, thus gaining valuable time for taking emergency measures.

[0030] 4. The slope monitoring system uploads data via 4G. The system can easily achieve remote data upload without on-site wiring, breaking the distance limit and enabling the monitoring data to be transmitted quickly and accurately to the environmental monitoring platform. At the same time, the slope monitoring system supports the Beidou-3 satellite signal system, ensuring the stability and reliability of data transmission. The slope monitoring system also supports the remote upgrade function, which means that users can update and maintain the system software without visiting the site, improving the flexibility and scalability of the system.

[0031] 5. The core of the monitoring system of the present invention is to virtualize a large amount of computing, storage, and management resources, dynamically allocate and schedule them through the network to achieve efficient data processing, perform real-time analysis of data through cloud computing data processing, and compare and process the information obtained later with the previous information, improving the efficiency of the system in processing slope monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a structural diagram of the slope monitoring system for obtaining three-dimensional slope deformation data based on cloud structure comparison processing of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0034] To further understand the content of the present invention, the present invention will be described in detail in conjunction with the drawings.

[0035] Combined with Figure 1 , a monitoring system for three-dimensional slope data based on cloud computing data comparison processing, which includes: a positioning module, a data acquisition module, a central control analysis module, an alarm module, and a display module. The data acquisition module, the positioning module, the alarm module, and the display module are all connected to the central control analysis module;

[0036] The positioning module includes a millimeter-level GNSS displacement monitoring module. The GNSS displacement monitoring module is a high-precision and real-time displacement monitoring technology used to achieve real-time monitoring of the three-dimensional displacement of slope target points at the millimeter level or even sub-millimeter level. The GNSS displacement monitoring module includes a GNSS receiver, an antenna, a data transmission module, and data processing and analysis software.

[0037] The GNSS receiver is responsible for receiving GNSS signals from satellites and is the core component of the GNSS displacement monitoring module.

[0038] The antenna is used to receive satellite signals and transmit them to the GNSS receiver.

[0039] The data transmission module transmits the data processed by the GNSS receiver to the data processing center or user terminal.

[0040] The data processing and analysis software processes and analyzes the received data to obtain the displacement change of the target object, which is used in the slope monitoring system to keenly capture the minute displacement changes of the slope with its millimeter-level positioning accuracy.

[0041] The GNSS displacement monitoring module can adopt multi-satellite signal reception: The GNSS displacement monitoring station receives signals from multiple navigation satellites through its built-in antenna. These satellite signals contain key information such as time and orbital parameters, providing basic data for displacement monitoring.

[0042] The GNSS displacement monitoring module can adopt high-precision positioning algorithms: After receiving satellite signals, the GNSS receiver uses these signals for high-precision positioning calculations. Through complex algorithms such as differential positioning technology (such as RTK, Real-Time Kinematic), the positioning accuracy can be significantly improved to reach the millimeter level or even sub-millimeter level.

[0043] Data processing and analysis: The GNSS receiver transmits the positioning data to the data processing unit, which will process and analyze the data in real time. By comparing the position data at different time points, the displacement of the surface point can be accurately calculated.

[0044] The data acquisition module includes a sliding prediction module, an image acquisition module, an inclination monitoring module, and a crack monitoring module. Among them, the sliding prediction module is connected to the central control analysis module and is used to predict the slope sliding displacement according to the monitored data through data processing software. The image acquisition module is connected to the main central control analysis module and is used to collect slope image data information through a camera and feedback the information to the display module to facilitate the inspectors to understand the surrounding picture of the slope in real time. The inclination monitoring module is connected to the central control analysis module and is used to monitor the slope inclination data information in real time through slope inclinometers. The crack monitoring module is connected to the central control analysis module and is used to monitor the slope crack data information in real time through crack gauges.

[0045] The central control analysis module is connected to the positioning module, the data acquisition module, the alarm module, the display module, and the data upload module, and is used to control the normal operation of each module through a single-chip microcomputer. The central control analysis module includes a data processing module, which is used to eliminate the large-error and incorrect data of slope detection through data processing software, and realizes the processing process of data collection, storage, analysis, and mining by using cloud computing technology.

[0046] The central control analysis module is used to comprehensively analyze the slope information of the data acquisition module, judge whether there is a dangerous situation of loose collapse on the slope, and send the obtained analysis result to the alarm module. When it is judged that there is a dangerous situation on the slope, the alarm module will issue a warning reminder to alert the inspectors around the slope, and the inspectors can timely handle and maintain the slope.

[0047] The display module includes a display screen. The image acquisition module sends the information to the main central control analysis module through a camera. The main central control analysis module analyzes the collected slope image data information and then sends the analysis result to the display screen, and feeds back the picture information on the display screen to facilitate the inspectors to understand the slope information in real time, and is used to display the monitoring system interface and the image, inclination, and crack data information of the monitored slope through the display.

[0048] The positioning module also includes a GNSS antenna cover, a lightning rod, and a solar panel. The GNSS antenna cover has strong corrosion resistance, effectively protects the antenna from the influence of harsh environments, and ensures the continuity and accuracy of the system monitoring data.

[0049] The lightning rod and the solar panel are used to enable the slope monitoring system to work stably under various weather conditions, extend the maintenance cycle, reduce the operation cost, and ensure the safety and environmental protection performance of the positioning module.

[0050] The central control analysis module includes a controller, a wireless module, a data transmission module, and a control terminal. The connection end of the controller is connected to the positioning module, the data acquisition module, the alarm module, and the display module.

[0051] The control terminal includes a computer host, and the controller is used to receive various data information sent, analyze it, and feed back the analysis results.

[0052] The controller processes and analyzes the received three-dimensional monitoring data of the slope, and uses modeling software to build a three-dimensional model of the slope based on the monitoring data, thereby realizing monitoring of the slope throughout its entire life cycle.

[0053] The data upload module is used to quickly and accurately transmit the monitored slope data to the environmental monitoring platform. The slope monitoring system supports the Beidou-3 satellite signal system, ensuring the stability and reliability of data transmission. The data transmission module uploads data via 4G. The system can easily realize remote data upload without on-site wiring, breaking the distance limit.

[0054] In summary, the invention proposes a monitoring system for three-dimensional slope data based on cloud computing data comparison and processing: the system of the present invention integrates a variety of advanced technologies to achieve real-time monitoring and early warning of slope status. The system uses the Global Navigation Satellite System (GNSS) to provide high-precision positioning data, combined with computer technology and data communication technology to achieve real-time monitoring of slope displacement. Through modules such as image acquisition, inclination monitoring, and crack monitoring, the system can obtain three-dimensional data of the slope, and perform data processing and analysis to construct a three-dimensional model of the slope, realizing monitoring of the slope throughout its life cycle. In addition, the system also supports remote data transmission and control, and can upload monitoring data to the cloud platform in real time to achieve remote early warning and disaster analysis, providing a decision-making basis for the long-term operation and maintenance of the slope.

[0055] The core of the slope monitoring system lies in its high-precision GNSS displacement monitoring stations, which are constructed from components such as GNSS antennas, radomes, lightning rods, solar panels, a main control chassis, and mounting brackets. The slope monitoring system, with its millimeter-level positioning accuracy, ensures sensitive detection of minute slope displacement changes. The corrosion-resistant and aging-resistant radome effectively protects the antenna from harsh environmental conditions, ensuring the continuity and accuracy of monitoring data. Furthermore, the configuration of lightning rods and a solar power supply system demonstrates the designers' deep understanding and implementation of safety and environmental protection concepts, enabling the slope monitoring system to operate stably in all weather conditions and reducing operating costs.

[0056] The slope monitoring system boasts powerful real-time data collection capabilities. Utilizing GNSS technology, it continuously collects slope displacement data and leverages cloud computing for real-time processing and analysis. The system supports the ability to set warning levels, providing managers with intuitive and easy-to-understand alerts, buying valuable time for emergency action.

[0057] The slope monitoring system uploads data via 4G. The system can easily achieve remote data upload without on-site wiring, breaking the distance limit and enabling the monitoring data to be transmitted quickly and accurately to the environmental monitoring platform. At the same time, the slope monitoring system supports the Beidou-3 satellite signal system, ensuring the stability and reliability of data transmission. The slope monitoring system also supports the remote upgrade function, which means that users can update and maintain the system software without visiting the site, improving the flexibility and scalability of the system.

[0058] The core of the monitoring system of the present invention lies in virtualizing a large amount of computing, storage, and management resources, dynamically allocating and scheduling them through the network to achieve efficient data processing. Through cloud computing data processing, the data is analyzed in real time, and the information obtained later is compared and processed with the previous information, improving the efficiency of the system in processing slope monitoring data.

[0059] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0060] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A monitoring system for three-dimensional slope data based on cloud computing data comparison and processing, characterized in that, It includes: a positioning module, a data acquisition module, a central control analysis module, an alarm module and a display module, wherein the data acquisition module, the positioning module, the alarm module and the display module are all connected to the central control analysis module; the positioning module includes a millimeter-level GNSS displacement monitoring module. The GNSS displacement monitoring module is a high-precision and real-time displacement monitoring technology used to achieve real-time monitoring of the three-dimensional displacement of slope target points at the millimeter level or even sub-millimeter level. The GNSS displacement monitoring module includes a GNSS receiver, an antenna, a data transmission module and data processing and analysis software. The GNSS receiver is responsible for receiving GNSS signals from satellites and is the core component of the GNSS displacement monitoring module; The antenna is used to receive satellite signals and transmit them to the GNSS receiver. The data transmission module transmits the data processed by the GNSS receiver to the data processing center or user terminal; The data processing and analysis software processes and analyzes the received data to obtain the displacement change of the target object, and is used for the slope monitoring system to keenly capture the minute displacement changes of the slope with its millimeter-level positioning accuracy. The data acquisition module includes a landslide prediction module, an image acquisition module, an inclination monitoring module and a crack monitoring module. Among them, the landslide prediction module is connected to the central control analysis module and is used to predict the landslide displacement of the slope according to the monitored data through data processing software; the image acquisition module is connected to the main central control analysis module and is used to collect slope image data information through a camera and feed the information back to the display module for facilitating the on-site inspectors to understand the surrounding picture of the slope in real time; the inclination monitoring module is connected to the central control analysis module and is used to monitor the slope inclination data information in real time through slope inclinometers; the crack monitoring module is connected to the central control analysis module and is used to monitor the slope crack data information in real time through crack gauges; The central control analysis module is connected to the positioning module, the data acquisition module, the alarm module and the display module and is used to control the normal operation of each module through a single-chip microcomputer. The central control analysis module includes a data processing module, which is used to eliminate the data with large errors and incorrectness in slope detection through data processing software, and the processes of data collection, storage, analysis and mining are realized by using cloud computing technology. The central control analysis module is used to comprehensively analyze the slope information of the data acquisition module, judge whether there is a dangerous situation of loose collapse of the slope, and send the obtained analysis result to the alarm module; when it is judged that a dangerous situation occurs on the slope, the alarm module will issue a warning reminder to alert the on-site inspectors around the slope, and the inspectors can timely handle and maintain the slope.

2. The monitoring system for three-dimensional slope data based on cloud computing data comparison and processing according to claim 1, wherein: The display module includes a display screen. The image acquisition module sends information to the main central control analysis module through a camera. The main central control analysis module analyzes the acquired slope image data information and then sends the analysis result to the display screen to feedback the screen information on the display screen, facilitating the inspectors to understand the slope information in real time and used to display the monitoring system interface, images, inclination, and crack data information of the monitored slope through the display.

3. The monitoring system for three-dimensional slope data based on cloud computing data comparison and processing according to claim 2, characterized in that: The positioning module further includes a GNSS antenna cover, a lightning rod, and a solar panel; the GNSS antenna cover has strong corrosion resistance, effectively protecting the antenna from the influence of harsh environments and ensuring the continuity and accuracy of the system monitoring data.

4. The monitoring system for three-dimensional slope data based on cloud computing data comparison and processing according to claim 3, characterized in that: The lightning rod and the solar panel are used to enable the slope monitoring system to work stably under various weather conditions, extend the maintenance cycle, reduce the operation cost, and ensure the safety and environmental protection performance of the positioning module.

5. The monitoring system for three-dimensional slope data based on cloud computing data comparison and processing according to claim 4, characterized in that: The central control analysis module includes a controller, a wireless module, a data upload module, and a control terminal; the connection end of the controller is connected to a positioning module, a data acquisition module, an alarm module, and a display module.

6. The monitoring system for three-dimensional slope data based on cloud computing data comparison and processing according to claim 5, characterized in that: The control terminal includes a computer host. The controller is used to receive various data information sent, analyze it, and feedback the analysis result.

7. The monitoring system for three-dimensional slope data based on cloud computing data comparison and processing according to claim 6, characterized in that: The controller processes and analyzes the received three-dimensional monitoring data of the slope, and uses modeling software to construct a three-dimensional model of the slope based on the monitored data to achieve the full-life cycle monitoring of the slope.

8. The monitoring system for a slope based on cloud computing data comparison and processing according to claim 7, characterized in that: The data upload module is used to quickly and accurately transmit the monitored slope data to the environmental monitoring platform. The slope monitoring system supports the Beidou-3 satellite signal system, ensuring the stability and reliability of data transmission. The data transmission module uploads data via 4G, and the system can easily achieve remote data upload without on-site wiring, breaking the distance limit.

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