CN112857255A - Intelligent monitoring system and method based on three-dimensional laser scanning technology - Google Patents
Intelligent monitoring system and method based on three-dimensional laser scanning technology Download PDFInfo
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Abstract
The invention relates to an intelligent monitoring system based on a three-dimensional laser scanning technology, and belongs to the technical field of intelligent monitoring technologies. The system comprises a non-contact sensing system, an intelligent data acquisition system, a data management center and a user service platform, wherein the non-contact sensing system comprises a three-dimensional laser scanner and an automatic dustproof device; the intelligent data acquisition system comprises a power supply module, a storage module, a control module, an AI intelligent calculation module, a deep learning module and a wireless transmission module based on the technology of the Internet of things; the data management center consists of an intelligent remote control system, a data real-time processing system, an intelligent early warning system and a report management system. The problem of unable monitoring can't reach whole tunnel of comprehensive monitoring is solved. The invention relates to an intelligent monitoring method based on a three-dimensional laser scanning technology.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring technology, in particular to an intelligent monitoring system and method based on a three-dimensional laser scanning technology.
Background
In the tunnel engineering, potential risks such as karst, water inrush, mud inrush and gas outburst exist in the construction and excavation process, the long-term stability of the tunnel structure is related, and the adoption of advanced geological prediction and monitoring measurement technology is a necessary means for ensuring the safe construction of the tunnel. During operation, the structure diseases are caused by nonresistible factors such as structure corrosion aging, natural disasters and the like, and are mainly represented by slab staggering, lining deformation, cracks, block dropping, water leakage, honeycomb pitted surface and the like. Therefore, in order to ensure the normal operation of the tunnel and the safety of people's lives and properties, the environment related to the tunnel engineering must be detected and monitored.
At present, domestic tunnel detection mainly takes daily inspection as a main part, and the development dynamics of the tunnel detection is mastered by adopting a manual detection method. The tunnel monitoring is generally performed domestically by a conventional monitoring technology (manual monitoring) and a non-contact monitoring technology (automatic monitoring) based on a measuring robot. Whether the detection or the monitoring involves a manual method, the labor intensity is high, and the efficiency is low. The observation points are usually limited and can be only distributed aiming at partial key nodes, and the purpose of comprehensively monitoring the whole tunnel cannot be achieved.
Disclosure of Invention
The invention aims to provide an intelligent monitoring system based on a three-dimensional laser scanning technology, which has the characteristic of comprehensively monitoring the whole tunnel.
The above object of the present invention is achieved by the following technical solutions:
an intelligent monitoring system based on three-dimensional laser scanning technology comprises a non-contact sensing system, an intelligent data acquisition system, a data management center and a user service platform,
the non-contact sensing system comprises a three-dimensional laser scanner and an automatic dust-proof device;
the intelligent data acquisition system comprises a power supply module, a storage module, a control module, an AI intelligent calculation module, a deep learning module and a wireless transmission module based on the technology of the Internet of things;
the data management center consists of an intelligent remote control system, a data real-time processing system, an intelligent early warning system and a report management system.
The present invention in a preferred example may be further configured to: the three-dimensional laser scanner is connected with the intelligent data acquisition system through a data line.
The present invention in a preferred example may be further configured to: the automatic dustproof device comprises a base, a remote control driving module and a fan-shaped dustproof device covering the outer side of the three-dimensional laser scanner.
The present invention in a preferred example may be further configured to: the intelligent data acquisition system is connected with the three-dimensional laser scanner through a data line.
The present invention in a preferred example may be further configured to: the power module contains field industrial power and a backup battery pack.
The present invention in a preferred example may be further configured to: the storage module is based on an embedded Windows operating system architecture built-in SSD interface and supports maximum 1TB storage expansion.
The present invention in a preferred example may be further configured to: the control module is internally provided with a memory chip, can carry out remote control through autonomous learning, and supports the data acquisition and synchronization of the data management center under the abnormal conditions of the network and the system.
The present invention in a preferred example may be further configured to: the AI intelligent computing module combines edge computing and cloud computing to preprocess the three-dimensional point cloud data and the image and automatically eliminate invalid data.
The present invention in a preferred example may be further configured to: and the deep learning module softens the threshold value of the three-dimensional laser image and identifies the characteristics by using an algorithm model of the related AI deep learning.
The present invention in a preferred example may be further configured to: the wireless transmission module based on the internet of things technology can be internally provided with a 4G/5G and a LoRaWAN gateway module.
The present invention in a preferred example may be further configured to: the data management center adopts an online rendering mode, and computer clustering work is realized by setting UNC paths for remotely accessing input, engineering and output files.
The present invention in a preferred example may be further configured to: the intelligent remote control system can simultaneously control a plurality of intelligent data acquisition systems and also takes into account the remote control of the automatic dustproof device of the non-contact sensing system.
The present invention in a preferred example may be further configured to: the data real-time processing system acquires high-precision three-dimensional laser color point cloud data of a monitored object according to a three-dimensional laser scanning technology, establishes a complete building information model of the monitored object, and completely acquires two-dimensional data and three-dimensional data of the monitored object.
The present invention in a preferred example may be further configured to: the intelligent early warning system comprises an automatic diagnosis and prediction system based on an artificial neural network, a monitoring and inspection early warning system and a monitoring implementation alarm system.
The present invention in a preferred example may be further configured to: the report management system provides report service customized according to user requirements.
The invention also aims to provide an intelligent monitoring method based on the three-dimensional laser scanning technology, which has the characteristic of comprehensive monitoring.
The second aim of the invention is realized by the following technical scheme:
an intelligent monitoring method based on three-dimensional laser scanning technology comprises the intelligent monitoring system,
the method comprises the following specific steps:
s1, the remote control system of the data management center sends a control instruction to the remote control module of the intelligent data acquisition system, the remote control module starts the automatic dustproof device according to the instruction, triggers the three-dimensional laser scanner to acquire data, and uploads the acquired data to the storage module of the acquisition system;
s2, carrying out noise reduction processing on the collected point cloud data and the collected image data through an AI intelligent calculation module, after eliminating invalid data, sending the image data to a deep learning module to automatically identify tunnel disease conditions, and triggering a monitoring and inspection early warning system if a new disease phenomenon is generated;
and S3, simultaneously transmitting the processed point cloud data and the processed image data to a data management center through the Internet of things, performing coordinate conversion by a data real-time processing system to generate a real-scene three-dimensional model, extracting characteristic point location monitoring data, comparing and analyzing the safety condition of the tunnel structure, and immediately triggering a monitoring and implementing alarm system if alarm information exists.
And S4, the user platform provides detailed monitoring information in the tunnel according to the processing result of the data management center, and the detailed monitoring information is displayed through a VR three-dimensional live-action display module.
In summary, the invention includes at least one of the following beneficial technical effects:
1. by adopting the intelligent monitoring system and the corresponding monitoring method, the labor intensity can be greatly reduced, and the working efficiency can be improved;
2. the monitoring range is large, and the whole tunnel can be monitored comprehensively.
Drawings
Fig. 1 is a diagram of an intelligent monitoring system based on a three-dimensional laser scanning technology in embodiment 1 of the present invention.
Fig. 2 is a flowchart of an intelligent monitoring system according to embodiment 2 of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Example 1: the embodiment of the invention provides an intelligent monitoring system based on a three-dimensional laser scanning technology, which comprises a non-contact sensing system, an intelligent data acquisition system, a data management center and a user service platform.
The non-contact sensing system comprises a three-dimensional laser scanner and an automatic dust-proof device. The existing digital interface (RS232 interface) of the three-dimensional laser scanner is connected with the intelligent acquisition system through a data line. The three-dimensional laser scanner can freely select measuring distance to control the original data volume and reduce the wireless transmission pressure. Automatic dust keeper includes base (with three-dimensional laser scanner base fixed connection), remote control drive module and the fan-shaped dust keeper that covers in the three-dimensional laser scanner outside.
The intelligent data acquisition system comprises a power supply module, a storage module, a control module, an AI intelligent calculation module, a deep learning module and a wireless transmission module based on the Internet of things technology.
The intelligent data acquisition system comprises a plurality of kilomega network ports, 2 serial ports, 1 USB port and the like, wherein the kilomega network ports are connected with the three-dimensional laser scanner through data lines.
The power module comprises field industrial power and a standby battery pack, and continuously supplies power to the monitoring system under the condition of field power failure.
The storage module is based on an embedded Windows operating system architecture built-in SSD interface and supports maximum 1TB storage expansion.
The control module is internally provided with a memory chip, can carry out remote control through autonomous learning, and supports the data acquisition and synchronization of the data management center under the abnormal conditions of the network and the system.
The AI intelligent computing module combines edge computing and cloud computing to preprocess the three-dimensional point cloud data and the image, and a large amount of invalid data are automatically removed, so that the remote data transmission quantity is greatly reduced.
The deep learning module softens the threshold value of the three-dimensional laser image and identifies the characteristics by using an algorithm model of the related AI deep learning, such as a convolutional neural network, a residual shrinkage network and the like.
The wireless transmission module based on the internet of things technology can be internally provided with 4G/5G, a LoRaWAN gateway module can be selected, and the quick transmission of big data is supported.
The data management center consists of an intelligent remote control system, a data real-time processing system, an intelligent early warning system and a report management system.
Because the point cloud data is huge, in order to meet the calculation requirement of the point cloud data, the data management center can adopt an online rendering mode and realize the computer clustering work by setting a UNC (universal naming rule) path for remotely accessing input, engineering and output files.
The intelligent remote control system can simultaneously control a plurality of intelligent data acquisition systems and also can give consideration to the remote control of the automatic dustproof device of the non-contact sensing system.
The data real-time processing system acquires high-precision three-dimensional laser color point cloud data of the monitored object according to a three-dimensional laser scanning technology, establishes a complete Building Information Model (BIM) of the monitored object, and completely acquires two-dimensional data of the monitored object.
The intelligent early warning system comprises an automatic diagnosis and prediction system based on an artificial neural network, a monitoring and inspection early warning system and a monitoring implementation alarm system.
The report management system provides a customized report service according to the user requirements.
Example 2: the embodiment of the invention provides an intelligent monitoring method based on a three-dimensional laser scanning technology, which comprises the intelligent monitoring system,
the method comprises the following specific steps:
s1, the remote control system of the data management center sends a control instruction to the remote control module of the intelligent data acquisition system, the remote control module starts the automatic dustproof device according to the instruction, triggers the three-dimensional laser scanner to acquire data, and uploads the acquired data to the storage module of the acquisition system;
s2, carrying out noise reduction processing on the collected point cloud data and the collected image data through an AI intelligent calculation module, after eliminating invalid data, sending the image data to a deep learning module to automatically identify tunnel disease conditions, and triggering a monitoring and inspection early warning system if a new disease phenomenon is generated;
and S3, simultaneously transmitting the processed point cloud data and the processed image data to a data management center through the Internet of things, performing coordinate conversion by a data real-time processing system to generate a real-scene three-dimensional model, extracting characteristic point location monitoring data, comparing and analyzing the safety condition of the tunnel structure, and immediately triggering a monitoring and implementing alarm system if alarm information exists.
And S4, the user platform provides detailed monitoring information in the tunnel according to the processing result of the data management center, and the detailed monitoring information is displayed through a VR three-dimensional live-action display module.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Claims (16)
1. An intelligent monitoring system based on three-dimensional laser scanning technology is characterized by comprising a non-contact sensing system, an intelligent data acquisition system, a data management center and a user service platform,
the non-contact sensing system comprises a three-dimensional laser scanner and an automatic dust-proof device;
the intelligent data acquisition system comprises a power supply module, a storage module, a control module, an AI intelligent calculation module, a deep learning module and a wireless transmission module based on the technology of the Internet of things;
the data management center consists of an intelligent remote control system, a data real-time processing system, an intelligent early warning system and a report management system.
2. The intelligent monitoring system according to claim 1, wherein the three-dimensional laser scanner is connected to the intelligent data acquisition system through a data line.
3. The intelligent monitoring system according to claim 1, wherein the automatic dust-proof device comprises a base, a remote control drive module and a fan-shaped dust-proof device covering the outside of the three-dimensional laser scanner.
4. The intelligent monitoring system according to claim 1, wherein the intelligent data acquisition system is connected to the three-dimensional laser scanner via a data line.
5. The intelligent monitoring system of claim 1, wherein the power module contains on-site industrial power and a backup battery pack.
6. The intelligent monitoring system of claim 1, wherein the storage module supports a maximum of 1TB storage expansion based on an embedded Windows operating system architecture built-in SSD interface.
7. The intelligent monitoring system of claim 1, wherein the control module has a memory chip built therein, can be remotely controlled by autonomous learning, and supports data management center network and monitoring data acquisition and synchronization in abnormal system conditions.
8. The intelligent monitoring system according to claim 1, wherein the AI intelligent computing module combines edge computing and cloud computing to preprocess three-dimensional point cloud data and images and automatically remove invalid data.
9. The intelligent monitoring system according to claim 1, wherein the deep learning module applies an algorithm model of the associated AI deep learning to threshold-soften and characterize the three-dimensional laser image.
10. The intelligent monitoring system according to claim 1, wherein the wireless transmission module based on internet of things technology can be internally provided with a 4G/5G, optional LoRaWAN gateway module.
11. The intelligent monitoring system according to claim 1, wherein the data management center implements computer clustering by setting UNC paths for remote access to input, project, and output files in an online rendering manner.
12. The intelligent monitoring system according to claim 1, wherein the intelligent remote control system can control a plurality of intelligent data acquisition systems simultaneously, and also allows for remote control of the non-contact sensing system automatic dust prevention device.
13. The intelligent monitoring system according to claim 1, wherein the data real-time processing system obtains high-precision three-dimensional laser color point cloud data of the monitored object according to a three-dimensional laser scanning technology, establishes a complete building information model of the monitored object, and completely obtains two-dimensional data and three-dimensional data of the monitored object.
14. The intelligent monitoring system according to claim 1, wherein the intelligent early warning system comprises an artificial neural network based automatic diagnosis and prediction system, a monitoring patrol early warning system and a monitoring implementation alarm system.
15. The intelligent monitoring system according to claim 1, wherein the reporting management system provides customized reporting services according to user needs.
16. An intelligent monitoring method based on three-dimensional laser scanning technology, which is characterized by comprising the intelligent monitoring system according to claim 1,
the method comprises the following specific steps:
s1, the remote control system of the data management center sends a control instruction to the remote control module of the intelligent data acquisition system, the remote control module starts the automatic dustproof device according to the instruction, triggers the three-dimensional laser scanner to acquire data, and uploads the acquired data to the storage module of the acquisition system;
s2, carrying out noise reduction processing on the collected point cloud data and the collected image data through an AI intelligent calculation module, after eliminating invalid data, sending the image data to a deep learning module to automatically identify tunnel disease conditions, and triggering a monitoring and inspection early warning system if a new disease phenomenon is generated;
and S3, simultaneously transmitting the processed point cloud data and the processed image data to a data management center through the Internet of things, performing coordinate conversion by a data real-time processing system to generate a real-scene three-dimensional model, extracting characteristic point location monitoring data, comparing and analyzing the safety condition of the tunnel structure, and immediately triggering a monitoring and implementing alarm system if alarm information exists.
And S4, the user platform provides detailed monitoring information in the tunnel according to the processing result of the data management center, and the detailed monitoring information is displayed through a VR three-dimensional live-action display module.
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Application publication date: 20210528 |