Geological disaster prediction system

Abstract

The invention discloses a geological disaster prediction system, and the system comprises a multi-source data collection module which is used for obtaining monitoring data related to a geological disaster; the data processing and analysis center is connected to the multi-source data acquisition module and is used for processing and analyzing the acquired data; and the early warning information issuing platform is connected to the data processing and analysis center and is used for issuing early warning information obtained according to a data analysis result. According to the geological disaster prediction system, the prediction accuracy and the response speed can be remarkably improved, powerful technical support can be provided for disaster prevention and reduction work, and losses caused by geological disasters are effectively reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of geological disaster monitoring, and in particular to a geological disaster prediction system. Background Art

[0002] Geological disasters, such as landslides, mudslides, and ground collapse, are caused by the rapid changes in the surface morphology caused by the combined effects of natural factors (such as earthquakes, rainfall, and weathering) and human activities (such as engineering construction, mining, and over-exploitation). Such disasters are often characterized by strong suddenness, great destructive power, and wide-ranging impacts, posing a serious threat to people's lives and property safety and social and economic development. With the intensification of global climate change and the increase in the intensity of human activities, the frequency and intensity of geological disasters are showing an upward trend. Therefore, how to effectively predict and prevent geological disasters has become an important issue that needs to be solved urgently.

[0003] Existing geological disaster prediction technologies mainly rely on historical data statistics, on-site investigations and empirical judgments. These methods have the following significant defects: first, traditional monitoring methods have limited coverage, making it difficult to obtain comprehensive and accurate real-time data, resulting in insufficient early identification capabilities; second, data processing and analysis efficiency is low, and it is impossible to quickly respond to the complex and changing geological environment, resulting in delayed warning release time and missing precious response opportunities; third, the lack of effective disaster simulation tools limits the decision-making support of relevant departments in formulating scientific and reasonable emergency response plans. Summary of the invention

[0004] 1. Technical Problems Solved

[0005] The technical problems to be solved by the present invention are the various problems mentioned in the above background technology, and a geological disaster prediction system is provided.

[0006] 2. Technical Solution

[0007] In order to solve the above technical problems, the present invention provides a technical solution: a geological disaster prediction system, the system comprising:

[0008] Multi-source data acquisition module, used to obtain monitoring data related to geological hazards;

[0009] A data processing and analysis center, connected to the multi-source data acquisition module, for processing and analyzing the acquired data;

[0010] The early warning information release platform is connected to the data processing and analysis center and is used to release early warning information obtained based on the data analysis results.

[0011] As an improvement, the multi-source data acquisition module includes:

[0012] Ground sensor networks are deployed in potential geological disaster areas to monitor parameters such as surface displacement, groundwater level, and soil moisture;

[0013] UAV and satellite remote sensing equipment to obtain high-resolution images and terrain change information;

[0014] Meteorological data interface, used to receive weather forecast information from official meteorological agencies;

[0015] Social media and public reporting interface for collecting reports of abnormal situations from the public.

[0016] As an improvement, the data processing and analysis center includes:

[0017] Data cleaning and preprocessing unit, used to remove noise and redundant data;

[0018] The spatiotemporal data analysis unit, combined with the Geographic Information System (GIS), conducts spatial correlation analysis on data at different time scales;

[0019] A machine learning model training and application unit to assess the likelihood of geological hazards;

[0020] Disaster simulation unit, used to simulate the development process of geological disasters.

[0021] As an improvement, the warning information release platform includes:

[0022] Emergency response plan module, providing emergency plans for different warning levels;

[0023] The user interaction interface allows government departments, scientific research institutions and the general public to query the latest monitoring data and early warning information.

[0024] As an improvement, the ground sensor network specifically includes surface displacement sensors, groundwater level sensors and soil moisture sensors.

[0025] As an improvement, the UAV and satellite remote sensing equipment can obtain remote sensing data of types such as optical images, radar images or thermal imaging.

[0026] As an improvement, the meteorological data interface can receive meteorological parameters such as rainfall, wind speed, temperature, humidity, etc.

[0027] 3. Beneficial Effects

[0028] The advantages of the present invention compared with the prior art are:

[0029] 1. The prediction system of the present invention deploys a ground sensor network, uses unmanned aerial vehicles (UAVs) and satellite remote sensing equipment, and combines meteorological data interfaces and social media and public reporting interfaces. The system can obtain comprehensive and accurate monitoring data, providing a solid foundation for the early identification of geological disasters. At the same time, the data processing and analysis center adopts advanced data cleaning and preprocessing technology, spatiotemporal data analysis methods, and machine learning model training and application units, which can quickly process large amounts of complex data and instantly evaluate the possibility of geological disasters, thereby greatly shortening the response time from data collection to warning issuance.

[0030] 2. The disaster simulation unit of the prediction system of the present invention allows for simulation of potential geological disasters, helps relevant departments to better understand the possible development process of disasters, formulate more scientific and reasonable emergency response plans, and improve the efficiency and effectiveness of disaster prevention and mitigation work. The early warning information release platform not only has a hierarchical early warning mechanism, but also provides a user interaction interface, so that government departments, scientific research institutions and the public can obtain the latest monitoring data and early warning information in a timely manner, enhancing the ability of all sectors of society to respond to geological disasters. Regular calibration of sensors and continuous optimization of prediction models ensure the long-term stability and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a structural diagram of a geological disaster prediction system of the present invention. DETAILED DESCRIPTION

[0032] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only 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 ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0033] Embodiment 1

[0034] like Figure 1 As shown, a geological disaster prediction system, the system comprises:

[0035] Multi-source data acquisition module, used to obtain monitoring data related to geological hazards;

[0036] A data processing and analysis center, connected to the multi-source data acquisition module, for processing and analyzing the acquired data;

[0037] The early warning information release platform is connected to the data processing and analysis center and is used to release early warning information obtained based on the data analysis results.

[0038] The multi-source data acquisition module includes: a ground sensor network deployed in potential geological disaster areas to monitor parameters such as surface displacement, groundwater level, and soil moisture; unmanned aerial vehicles (UAVs) and satellite remote sensing equipment to obtain high-resolution images and terrain change information; a meteorological data interface to receive weather forecast information from official meteorological agencies; and a social media and public reporting interface to collect reports of abnormal conditions provided by the public.

[0039] The data processing and analysis center includes: a data cleaning and preprocessing unit, which is used to remove noise and redundant data; a spatiotemporal data analysis unit, which combines with the geographic information system GIS to perform spatial correlation analysis on data of different time scales; a machine learning model training and application unit, which is used to assess the possibility of geological disasters; and a disaster simulation unit, which is used to simulate the development process of geological disasters.

[0040] The warning information release platform includes: an emergency response plan module, which provides emergency plans for different warning levels; a user interaction interface for government departments, scientific research institutions and the public to query the latest monitoring data and warning information. The ground sensor network specifically includes surface displacement sensors, groundwater level sensors and soil moisture sensors. The UAV and satellite remote sensing equipment can obtain remote sensing data of optical images, radar images or thermal imaging. The meteorological data interface can receive meteorological parameters such as rainfall, wind speed, temperature, humidity, etc.

[0041] Working principle of the present invention:

[0042] 1. Deployment of multi-source data acquisition module

[0043] Ground sensor network: Deploy surface displacement sensors, groundwater level sensors and soil moisture sensors in potential geological disaster areas (such as mountainous areas, river valleys, etc.) to monitor surface displacement, groundwater level changes and soil moisture in real time. These sensors transmit data to the data processing and analysis center through wireless or wired communication technology.

[0044] Unmanned aerial vehicles (UAVs) and satellite remote sensing equipment: UAVs are dispatched regularly or on demand to capture high-resolution images and obtain detailed information on the surface and topography. Satellite remote sensing technology, especially optical, radar and thermal imaging, is used to supplement areas that ground sensors cannot cover to ensure comprehensive data collection.

[0045] Meteorological data interface: Establish a data interface with the National Meteorological Administration or other official meteorological agencies to receive meteorological parameters such as rainfall, wind speed, temperature, humidity, etc. in real time, providing important meteorological background information for the prediction of geological disasters.

[0046] Social media and public reporting interface: Develop dedicated applications or websites to encourage the public to upload reports of abnormal conditions (such as the discovery of mountain cracks, signs of mudslides, etc.), and extract useful information through natural language processing technology as auxiliary monitoring data.

[0047] 2. Operation of the Data Processing and Analysis Center

[0048] Data cleaning and preprocessing unit: The received raw data is first cleaned and preprocessed to remove noise and redundant data to ensure the accuracy of subsequent analysis. This process includes steps such as data format conversion, missing value filling, and outlier detection.

[0049] Spatiotemporal Data Analysis Unit: Combined with Geographic Information System (GIS), spatial correlation analysis of data at different time scales is performed to identify potential risk patterns. For example, the trend of surface displacement within a certain period of time is analyzed, or the relationship between rainfall and the probability of geological disasters is evaluated.

[0050] Machine learning model training and application unit: Based on historical data and current monitoring results, the geological disaster prediction model is trained using deep learning, support vector machine and other algorithms. The model can assess the possibility of geological disasters and give corresponding risk levels based on the input real-time data.

[0051] Disaster simulation unit: Use finite element analysis or other numerical simulation methods to simulate the development process of geological disasters under different conditions and provide scientific basis for decision makers. For example, simulate landslide paths, debris flow impact range, etc. to help formulate more reasonable emergency plans.

[0052] 3. Functions of the early warning information release platform

[0053] Emergency response plan module: According to the risk assessment results of different levels, set the corresponding warning level and formulate detailed emergency plans, including evacuation route planning, rescue force deployment, etc. These plans can be automatically triggered by the platform to ensure rapid response.

[0054] User interface: Provide an intuitive and easy-to-use user interface so that government departments, scientific research institutions and the public can easily query the latest monitoring data and early warning information. The interface design should take into account the needs of different user groups and support multiple access methods, such as web pages, mobile applications, etc.

[0055] 4. System maintenance and update

[0056] Calibrate sensors regularly: To ensure the accuracy and consistency of monitoring data, calibrate ground sensors regularly. This can be done through on-site maintenance or remote control to ensure that the sensors are always in the best working condition.

[0057] Model optimization and upgrade: With the emergence of new research results and technological advances, the prediction model is continuously optimized and upgraded. By introducing new algorithms, adjusting parameter settings, etc., the prediction performance of the model is continuously improved to ensure the long-term stable operation of the system.

[0058] Feedback mechanism: Establish a user feedback channel to collect problems and suggestions in system operation. According to user feedback, timely adjust and optimize system functions to improve user experience and service quality.

[0059] Through the above specific implementation methods, the geological disaster prediction system of the present invention can not only significantly improve the prediction accuracy and response speed, but also provide strong technical support for disaster prevention and mitigation work, and effectively reduce the losses caused by geological disasters.

[0060] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0061] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

[0062] The present invention and its embodiments are described above, and such description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if ordinary technicians in the field are inspired by it, without departing from the purpose of the invention, they can design a structure and embodiment similar to the technical solution without creativity, which should belong to the protection scope of the present invention.

Claims

1. A geological disaster prediction system, characterized in that: The system comprises: Multi-source data acquisition module, used to obtain monitoring data related to geological hazards; A data processing and analysis center, connected to the multi-source data acquisition module, for processing and analyzing the acquired data; The early warning information release platform is connected to the data processing and analysis center and is used to release early warning information obtained based on the data analysis results.

2. A geological disaster prediction system according to claim 1, characterized in that: The multi-source data acquisition module comprises: Ground sensor networks are deployed in potential geological disaster areas to monitor parameters such as surface displacement, groundwater level, and soil moisture; UAV and satellite remote sensing equipment to obtain high-resolution images and terrain change information; Meteorological data interface, used to receive weather forecast information from official meteorological agencies; Social media and public reporting interface for collecting reports of abnormal situations from the public.

3. A geological disaster prediction system according to claim 1, characterized in that: The data processing and analysis center includes: Data cleaning and preprocessing unit, used to remove noise and redundant data; The spatiotemporal data analysis unit, combined with the Geographic Information System (GIS), conducts spatial correlation analysis on data at different time scales; A machine learning model training and application unit to assess the likelihood of geological hazards; Disaster simulation unit, used to simulate the development process of geological disasters.

4. A geological disaster prediction system according to claim 1, characterized in that: The early warning information release platform includes: Emergency response plan module, providing emergency plans for different warning levels; The user interaction interface allows government departments, scientific research institutions and the general public to query the latest monitoring data and early warning information.

5. A geological disaster prediction system according to claim 2, characterized in that: The ground sensor network specifically includes a surface displacement sensor, a groundwater level sensor and a soil moisture sensor.

6. A geological disaster prediction system according to claim 2, characterized in that: The UAV and satellite remote sensing equipment can obtain remote sensing data of optical images, radar images or thermal imaging.

7. The geological disaster prediction system according to claim 2, characterized in that: The meteorological data interface can receive meteorological parameters such as rainfall, wind speed, temperature, humidity, etc.

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