Early warning and emergency response management system for geological disasters

Abstract

The invention discloses a geological disaster early warning emergency response management system, which belongs to the technical field of disaster early warning emergency management systems and comprises a center module, a monitoring module, a data acquisition module, a data transmission module, an early warning processing module, an early warning issuing module and an early warning response module. The monitoring module is used for monitoring displacement changes of mountains, slopes and the like, on-site crack image information of geological disaster hidden danger points and real-time rainfall, it is guaranteed that the monitoring range of geological disaster areas is wider, and therefore the system can conduct early warning work on geological disaster types more visually, accurately and efficiently; the type, grade and disaster area of geological disasters are judged through the early warning processing module, so that related personnel can quickly put into disaster rescue ranks, economic loss and harm caused by the geological disasters are reduced to a great extent, meanwhile, resource preparation and deployment work is made in advance through the plan response module, and the disaster rescue efficiency is improved. And rescue work can be rapidly carried out when a disaster occurs.

Description

Technical Field

[0001] This invention relates to the field of disaster early warning and emergency management system application technology, specifically a geological disaster early warning and emergency response management system. Background Technology

[0002] Geological disasters are characterized by their suddenness and destructiveness, seriously threatening people's lives and property and social stability. my country's complex geological conditions and frequent occurrence of geological disasters, such as landslides, debris flows, and collapses, pose enormous challenges to disaster prevention and mitigation efforts. Traditional geological disaster early warning and emergency response methods suffer from problems such as information lag, untimely response, and low coordination efficiency, making it difficult to meet the increasingly severe needs of geological disaster prevention and control. Therefore, the invention of a geological disaster early warning and emergency response management system is of significant practical importance. Summary of the Invention

[0003] The purpose of this invention is to provide a geological disaster early warning and emergency response management system. Through a monitoring module, it monitors displacement changes of mountains and slopes, on-site crack images of potential geological disaster sites, and real-time rainfall, ensuring a wider monitoring range for geological disaster areas. This allows the system to provide more intuitive, accurate, and efficient early warnings of geological disaster types. Secondly, the early warning processing module determines the type, level, and disaster area of ​​the geological disaster, facilitating rapid deployment of relevant personnel for disaster relief and significantly reducing economic losses and harm caused by geological disasters. Simultaneously, the contingency plan response module allows for advance resource preparation and deployment, ensuring rapid rescue operations when a disaster occurs, thus addressing the problems mentioned in the background section.

[0004] To achieve the above objectives, the present invention provides the following technical solution: The geological disaster early warning and emergency response management system includes: a central module, a monitoring module, a data acquisition module, a data transmission module, an early warning processing module, an early warning release module, and an early warning response module. The monitoring module connects to the central module; the data acquisition module connects to the monitoring module; the data transmission module connects to the data acquisition module; the early warning processing module connects to the data transmission module; the early warning release module connects to the early warning processing module; and the early warning response module connects to the early warning release module. The monitoring module monitors the types of geological disasters; the monitoring module feeds back the monitoring information to the data acquisition module; the data acquisition module feeds back the acquired information to the data transmission module; the data transmission module feeds back the acquired information to the early warning processing module; the early warning processing module feeds back the acquired information to the early warning release module; the early warning release module pushes and publishes the acquired information; and the early warning release module feeds back the acquired information to the early warning response module.

[0005] Preferably, the monitoring module includes a displacement monitoring unit, a crack monitoring unit, and a rainfall monitoring unit. The displacement monitoring unit monitors the displacement changes of mountains and slopes and quantifies the degree of displacement risk using the displacement rate calculation formula (1). The crack monitoring unit monitors the on-site cracks at geological disaster hazard points and records the change in crack width. The rainfall monitoring unit monitors the rainfall in the geological disaster area and counts the rainfall per unit time. (1) Where v is the average displacement rate of the displacement monitoring point, in mm / d. The measurement is for the displacement change within the monitoring period, expressed in mm. The monitoring period is expressed in days (d). When v > 5 mm / d, the displacement monitoring unit sends a high-risk displacement warning signal to the data acquisition module.

[0006] Preferably, the data acquisition module includes a timed acquisition unit, a real-time acquisition unit, and a data cleaning unit. The predetermined time interval is set based on the risk level according to different geological monitoring points and monitoring parameters. The correspondence between the risk level and the acquisition interval is shown in formula (2). The real-time acquisition unit performs real-time monitoring of areas with high geological disaster risk, with a monitoring frequency of not less than once per 10 minutes. The large amount of geological environment data collected by the timed acquisition unit and the real-time acquisition unit is fed back to the data acquisition module. (2) Where T is the time interval of the timed acquisition unit, in hours; k is the adjustment coefficient, with a value range of [2,6], set according to the regional geological complexity; and R is the geological hazard risk level, with a value of 1-5, where 1 is the lowest risk and 5 is the highest risk.

[0007] Preferably, the data transmission module is connected to a data cleaning unit, which removes noise from the raw data fed back by the data acquisition module, fills in missing data, and identifies and processes outliers.

[0008] Preferably, the early warning processing module includes a type differentiation unit, a level classification unit, and a regional analysis unit. The type differentiation unit determines the type of geological disaster based on the data fed back by the data transmission module. The level classification unit is used to determine the early warning level of the geological disaster, which is divided into four levels. The regional analysis unit is used to determine the location of the geological disaster.

[0009] Preferably, the early warning release module includes an information push unit and a voice broadcast unit. The early warning release module produces the type, hazard level and distribution area of ​​geological disasters based on the information fed back by the early warning processing module. The information push unit releases the information on the type, hazard level and distribution area of ​​the disasters, and the voice broadcast unit broadcasts the type, hazard level and distribution area of ​​the disasters.

[0010] Preferably, the early warning response module includes a plan management unit, a resource scheduling unit, and an information feedback unit. The plan management unit stores and manages emergency response plans for various geological disasters, realizes the sharing and exchange of geological disaster prevention and control information, and supports the query, modification, and updating of plans. The resource scheduling unit integrates emergency resource information and realizes the rational scheduling and allocation of resources according to emergency response needs. The information feedback unit reports disaster situation, emergency response measures, and rescue progress information to higher-level departments.

[0011] Compared with the prior art, the beneficial effects of the present invention are: The geological disaster early warning and emergency response management system of this invention monitors the displacement changes of mountains and slopes, on-site crack image information of geological disaster hazard points, and real-time rainfall through the displacement monitoring unit, crack monitoring unit, and rainfall monitoring unit on the monitoring module. This ensures a wider monitoring range for geological disaster areas, thereby enabling the system to provide more intuitive, accurate, and efficient early warning of geological disaster types. Secondly, the monitoring module feeds back the monitored information to the data acquisition module, providing feedback on landslide displacement, changes in landslide cracks, and rainfall amounts. This allows the timed and real-time acquisition units on the data acquisition module to adjust their data according to actual conditions. In addition to the existing data collection work, since landslide monitoring points are mostly located in remote mountainous areas with limited power supply and maintenance conditions, the combination of two types of acquisition units can significantly reduce system energy consumption and operational pressure. At the same time, it allows for more comprehensive geological disaster data collection, facilitating the consideration of both long-term trends and instantaneous anomalies. Secondly, the data cleaning unit on the data transmission module processes noise, fills in missing data, and identifies and handles outliers in the raw data returned by the data acquisition module, ensuring the accuracy, completeness, and consistency of the data. This provides high-quality data support for geological disaster early warning models and emergency decision-making, whether it is timed data collection from areas with low geological disaster risk and slow changes, or... Real-time data collected in high-risk areas requires processing by a data cleaning unit. The cleaned data can be used for trend analysis of geological disasters, early warning model training, and emergency decision support, improving the system's early warning capabilities and emergency response efficiency. Secondly, the data transmission module feeds the processed data back to the early warning processing module. The type differentiation unit, level classification unit, and regional analysis unit on the early warning processing module determine the type, level, and disaster area of ​​the geological disaster based on the data feedback from the data transmission module. This facilitates rapid and accurate deployment of relevant work in the affected areas, enabling personnel to quickly engage in disaster relief efforts. This system helps to greatly reduce the economic losses and harm caused by geological disasters. Secondly, based on the information fed back by the early warning processing module, the early warning release module transmits geological disaster early warning information to the affected areas through SMS push and voice broadcast, which helps people evacuate from the affected areas more promptly and greatly reduces the harm caused by geological disasters. At the same time, based on the information fed back by the early warning release module, the early warning response module prepares and deploys resources in advance through the contingency plan management unit, resource scheduling unit and information feedback unit, transports rescue equipment and materials to the vicinity of areas that may be affected by disasters, and organizes rescue personnel to stand by to ensure that rescue work can be carried out quickly when a disaster occurs. Attached Figure Description

[0012] Figure 1 This is a structural diagram of the geological disaster early warning and emergency response management system. Detailed Implementation

[0013] Example 1 Please see Figure 1 In this embodiment of the invention, the geological disaster early warning and emergency response management system includes: a central module, a monitoring module, a data acquisition module, a data transmission module, an early warning processing module, an early warning release module, and an early warning response module. The monitoring module is connected to the central module; the monitoring data acquisition module is connected to the monitoring module; the monitoring data transmission module is connected to the data acquisition module; the monitoring early warning processing module is connected to the data transmission module; the monitoring early warning release module is connected to the early warning processing module; and the monitoring early warning response module is connected to the early warning release module. The monitoring module monitors the types of geological disasters; the monitoring module feeds back the monitoring information to the data acquisition module; the monitoring data acquisition module feeds back the acquired information to the data transmission module; the monitoring data transmission module feeds back the acquired information to the early warning processing module; the monitoring early warning processing module feeds back the acquired information to the early warning release module; the monitoring early warning release module pushes and publishes the acquired information; and the monitoring early warning release module feeds back the acquired information to the early warning response module. The central module is the "core hub" of the geological disaster early warning and emergency response management system, and its role extends throughout the "data monitoring and acquisition - data transmission - risk analysis - early warning release - emergency response" process. The entire process integrates data, intelligent decision-making, resource allocation, and coordination among all parties. It connects scattered monitoring points, isolated departments, and individuals into an organic whole, ultimately achieving the core goal of "early detection, early warning, early evacuation, and minimal losses" of geological disasters. It is a key technological support for improving geological disaster prevention capabilities. Through this early warning and emergency response management system, geological disasters can be detected and predicted in advance, providing relevant departments and the public with more time to carry out disaster prevention and mitigation work, and making a greater contribution to protecting people's lives and property.

[0014] Example 2 In an optional embodiment of this example, the monitoring module includes a displacement monitoring unit, a crack monitoring unit, and a rainfall monitoring unit. The displacement monitoring unit employs a GPS locator and a total station, and quantifies the degree of displacement risk using the displacement rate calculation formula (1), i.e., (1) In the formula, v is the average displacement rate of the displacement monitoring point, with units of mm / d. The measurement is for the displacement change within the monitoring period, expressed in mm. The monitoring period is measured in days (d). When v > 5 mm / d, the displacement monitoring unit sends a high-risk displacement warning signal to the data acquisition module. The crack monitoring unit uses drones to capture on-site crack images of potential geological hazard points and records the changes in crack width. The rainfall detection unit uses a tipping bucket rain gauge to monitor rainfall in real time and calculates the rainfall per unit time. Multi-directional monitoring of geological hazards by various units on the monitoring module facilitates more intuitive, accurate, and efficient early warning of geological hazard types. Simultaneously, the system has GIS simulation modeling capabilities, enabling integrated application of specific information and geographic location of various geological hazard monitoring and early warning systems through data feedback from each monitoring unit. This allows for a "what you see is what you get" approach to all information about potential geological hazard points in the real geographic space.

[0015] Example 3 In an optional embodiment of this example, the data acquisition module includes a timed acquisition unit, a real-time acquisition unit, and a data cleaning unit. Based on different geological monitoring points and parameters, the timed acquisition unit monitors areas with relatively low geological hazard risk and slow-changing conditions at predetermined time intervals. The predetermined time interval is determined based on the risk level using formula (2), i.e., (2) Where T is the time interval for the timed acquisition unit, in hours (h); k is an adjustment coefficient, ranging from [2,6], set according to the regional geological complexity; and R is the geological hazard risk level, ranging from 1 to 5, with 1 being the lowest risk and 5 the highest risk. When the regional geological complexity is high and the risk level is 3, k is set to 4, and the acquisition interval T = 4 × 1 / 3 ≈ 1.33 h. In practical applications, it can be adjusted to acquire data once every 1.5 hours. The real-time acquisition unit monitors areas with high geological hazard risk in real time, with a monitoring frequency of no less than once per 10 minutes. The timed acquisition unit detects changes in water level and geological landslides in the geological environment through water level sensors, displacement sensors, and infrared sensors. The real-time acquisition unit uses laser displacement sensors and high-frequency rainfall sensors to monitor areas with high geological hazard risk in real time. The large amount of geological environmental data collected by both units is fed back to the data acquisition module. By monitoring the displacement of landslides, the changes in landslide cracks, and the amount of rainfall, the timing and real-time acquisition units on the data acquisition module can adjust their acquisition strategies according to the actual situation. Since landslide monitoring points are mostly located in remote mountainous areas with limited power supply (such as batteries or solar power) and maintenance conditions, the combination of the two acquisition units can significantly reduce system energy consumption and maintenance pressure. At the same time, it makes the geological disaster data acquisition more comprehensive, which is conducive to taking into account both long-term trends and instantaneous anomalies.

[0016] Example 4 In one optional embodiment of this example, the data transmission module is connected to a data cleaning unit. The data cleaning unit processes the raw data fed back by the data acquisition module, including removing noise, filling in missing data, and identifying and processing outliers. The outlier identification adopts the 3σ criterion and is determined by formula (3), i.e. (3) Where x is the original monitoring data; μ is the sample mean of the monitoring parameter; σ is the sample standard deviation of the monitoring parameter; values ​​that satisfy this formula are judged as outliers. The data cleaning unit uses the nearest neighbor interpolation method to replace outliers. For example, when the rainfall monitoring data exceeds the range of 3σ at a certain moment, the effective data within 10 minutes before and after that moment are used for linear interpolation replacement.

[0017] The data cleaning unit is applicable to the data processing stage of the entire geological disaster early warning and emergency response management system. It ensures the accuracy, integrity, and consistency of the data, providing high-quality data support for geological disaster early warning models and emergency decision-making. Whether it is timed data collected from areas with low geological disaster risk and slow changes, or real-time data collected from high-risk areas, all data need to be processed by the data cleaning unit. The cleaned data can be used for geological disaster trend analysis, early warning model training, emergency decision support, etc., improving the system's early warning capability and emergency response efficiency for geological disasters. Raw data may be subject to various interferences and noise during acquisition and transmission, such as sensor errors and communication signal fluctuations. The data cleaning unit filters out this noise to restore the true nature of the data. Noise removal algorithms can include moving average, exponential smoothing, and wavelet transform. Due to equipment failures, communication interruptions, and other reasons, the acquired data may be incomplete. The early warning processing module fills in missing values ​​using methods such as mean imputation, regression analysis imputation, and interpolation. Geological environments may experience sudden events that cause outliers. The data cleaning unit uses methods such as Z-scores, quartiles, and clustering to distinguish between "real disaster precursors" and "data acquisition errors," correcting or removing erroneous outliers and marking and focusing on real outliers.

[0018] Example 5 In one optional embodiment of this example, the early warning processing module includes a type differentiation unit, a level classification unit, and a regional analysis unit. The type differentiation unit determines the type of geological hazard based on the data (parameters such as displacement, cracks, and rainfall) fed back by the data transmission module, specifically including landslides, debris flows, and ground subsidence; the level classification unit determines the geological hazard early warning level by calculating a comprehensive early warning score based on a multi-parameter weighted model using formula (4), i.e. (4) Wherein, S is the comprehensive geological disaster early warning score, with a maximum score of 100 points; w1, w2, and w3 are the weights of displacement, cracks, and rainfall parameters, respectively, satisfying w1+w2+w3=1, and are dynamically adjusted according to the disaster type: for landslide disasters, w1=0.4, w2=0.3, w3=0.3; for debris flow disasters, w3=0.5, w1=0.3, w2=0.2; s1, s2, and s3 are the standardized scores of displacement, cracks, and rainfall parameters (maximum score of 100 points); the early warning level is divided according to the value of S: S≥80 is Level I (red, very high risk), and 60≤S<80 is Level II. (Orange, high risk), 40≤S<60 is classified as Level III (yellow, relatively high risk), S<40 is classified as Level IV (blue, relatively low risk). The corresponding characteristics of each level are as follows: Level 1 (red): Very high risk, extremely high probability of geological disaster, which may cause significant casualties and property damage; Level 2 (orange): High risk, high probability of geological disaster, with signs of impending disaster at the hazard point; Level 3 (yellow): Relatively high risk, relatively high probability of geological disaster, with obvious deformation characteristics at the hazard point; Level 4 (blue): Relatively low risk, low probability of geological disaster, with some deformation characteristics at the hazard point. Regional analysis units, combined with GIS geographic information data, locate the specific location and impact range of geological disasters. By determining the location of geological disasters, it is beneficial to quickly and accurately carry out relevant work in the affected areas, facilitating faster deployment of relevant personnel in disaster relief efforts, and further contributing to minimizing the economic losses and harm caused by geological disasters. The early warning processing module is one of the core modules of the entire system. Based on big data analysis and artificial intelligence technology, it constructs a geological disaster early warning model. This module can perform multi-dimensional analysis of monitoring data, combine historical data, geological environmental data, etc., to determine the possibility and severity of disasters, and promptly feed back the monitoring information to the early warning release module through data analysis.

[0019] Example 6 In an optional embodiment of this example, the early warning release module includes an information push unit and a voice broadcast unit. The early warning release module generates the type, hazard level, and distribution area of ​​the geological disaster based on the information fed back by the early warning processing module; the information push unit calculates the push range radius according to the early warning level using formula (5), i.e. (5) In the formula, r is the radius of the early warning information push range, in km; α is the range coefficient, which is 0.05 km / min, and can be slightly adjusted according to the regional population density, which can be increased to 0.06 km / min in densely populated areas; S is the comprehensive geological disaster early warning score as described in claim 5. When S=90 and α=0.05, the push range radius r=0.05×90=4.5 km, and the information push unit pushes information on the type of disaster, the hazard level and the distribution area to the target users within this radius. The voice broadcasting unit continuously broadcasts the type, severity level, and distribution area of ​​the disaster in the public address system of the target area. The information push unit pushes information via SMS and a mobile app. SMS messages use big data to identify people within the geological disaster-affected area and send warning messages to relevant department staff and residents near potential disaster sites, including the disaster type, severity level, affected area, and evacuation tips. The mobile app, on the other hand, uses a dedicated geological disaster early warning app... The system pushes early warning information, allowing users to view warning details, evacuation routes, and disaster prevention guidelines in real time. It also expands the coverage of warnings by publishing announcements through platforms such as WeChat and Weibo. The voice broadcast unit broadcasts information via both radio and television broadcasts and the emergency broadcast system. Radio and television broadcasts collaborate with local radio and television departments, inserting warning information into television and radio programs. For Level 1 warnings, this information is broadcast every 15 minutes; for Level 4 warnings, it is broadcast every hour. The emergency broadcast system utilizes emergency broadcasting equipment installed in rural and mountainous areas to continuously broadcast warning information, ensuring that the elderly and people in remote areas can receive warning content promptly. Through multiple channels, warning information can be quickly and comprehensively delivered to people in disaster-stricken areas, buying time for evacuation.

[0020] Example 7 In one optional embodiment of this example, the early warning response module includes a plan management unit, a resource scheduling unit, and an information feedback unit. The plan management unit stores and manages emergency response plans for various geological disasters, such as landslide emergency evacuation plans and debris flow rescue plans, enabling the sharing and exchange of geological disaster prevention information and supporting the querying, modification, and updating of plans. Through the plan management unit, the sharing and exchange of geological disaster prevention information among relevant departments such as land resources, meteorology, water resources, and emergency management can be achieved. On the one hand, this provides basic and public data services for various business application systems of the geological disaster monitoring and early warning big data information platform; on the other hand, it solves practical problems such as non-standardized data for various geological disaster resources, hindered data exchange and sharing between departments, lack of resource information sharing, inconsistent development platforms, and inadequate information services.

[0021] The resource scheduling unit integrates emergency resource information and calculates the matching degree between resources and demand based on the resource matching degree model using formula (6), i.e. (6) In the formula, M is the matching degree between emergency resources and demand, with a value range of [0,1]. The closer it is to 1, the higher the matching degree. n is the number of emergency resource types. qi is the demand quantity of the i-th type of resource. pi is the ratio of the existing quantity of the i-th type of resource to the demand quantity (pi ≤1). When 50 rescuers (q1=50) and 20 excavators (q2=20) are needed, and there are currently 40 rescuers (p1=0.8) and 18 excavators (p2=0.9), the matching degree M = 50×0.8 + 20×0.9 / 50 + 20 = 40 + 18 / 70 ≈ 0.829. At this time, the resource scheduling unit determines that the resources basically meet the demand and can prioritize the dispatch of existing resources to the scene, while coordinating to supplement the missing resources.

[0022] The resource scheduling unit dynamically adjusts its resource allocation plan according to each stage of a geological disaster: In the disaster warning stage, after the system issues a warning, the resource scheduling unit, based on the warning information such as the warning level and the scope of impact, pre-positions rescue equipment and supplies to reserve points near the affected area and organizes rescue teams to stand by; in the early stages of a disaster, it rapidly collects information from the disaster site, such as the affected area and the number of people trapped, analyzes resource needs, and dispatches nearby rescue forces to the scene to conduct search and rescue operations, road repairs, and treatment of the injured; in the middle stages of disaster relief, it adjusts the resource scheduling plan based on the progress of rescue efforts and the risk of secondary disasters, such as sending more rescue personnel and equipment to severely affected areas and allocating more living supplies; in the post-disaster reconstruction stage, it schedules building materials, construction equipment, and engineering personnel to advance reconstruction and coordinates with medical and health departments to carry out post-disaster epidemic prevention. The information feedback unit reports the disaster situation, emergency response measures, and rescue progress information to higher-level departments at predetermined time intervals, such as once every hour, ensuring that higher-level departments have real-time access to the on-site dynamics.

[0023] The working principle of this invention is as follows: First, the central module sends monitoring commands to the monitoring module. The displacement monitoring unit, crack monitoring unit, and rainfall monitoring unit on the monitoring module monitor the displacement changes of mountains, slopes, etc., the on-site crack image information of geological disaster hazard points, and the real-time monitoring of rainfall, ensuring a wider monitoring range for geological disaster areas. This facilitates the system's more intuitive, accurate, and efficient early warning of geological disaster types. Second, the monitoring module feeds back the monitored information to the data acquisition module. The monitoring module provides feedback on the displacement of landslides, changes in landslide cracks, and the amount of rainfall, which is beneficial for the timed and real-time data acquisition units on the data acquisition module. The unit collects data based on actual conditions. Since landslide monitoring points are mostly located in remote mountainous areas with limited power supply and maintenance conditions, the combination of two collection units significantly reduces system energy consumption and operational pressure, resulting in more comprehensive geological disaster data collection. This facilitates the consideration of both long-term trends and instantaneous anomalies. Simultaneously, the data cleaning unit on the data transmission module processes noise, fills in missing data, and identifies and handles outliers in the raw data returned by the data acquisition module, ensuring data accuracy, completeness, and consistency. This provides high-quality data support for geological disaster early warning models and emergency decision-making, regardless of whether the data is collected periodically from areas with low geological disaster risk and slow-changing conditions. Whether it's real-time data collected from high-risk areas, all data needs to be processed by the data cleaning unit. The cleaned data can be used for geological disaster trend analysis, early warning model training, and emergency decision support, improving the system's early warning capabilities and emergency response efficiency. Then, the data transmission module feeds the processed data back to the early warning processing module. The type differentiation unit, level classification unit, and regional analysis unit on the early warning processing module determine the type, level, and disaster area of ​​the geological disaster based on the data feedback from the data transmission module. This facilitates rapid and accurate deployment of relevant work in the affected areas, enabling personnel to quickly engage in disaster relief efforts. This step helps to greatly reduce the economic losses and harm caused by geological disasters. Finally, based on the information fed back by the early warning processing module, the early warning release module transmits geological disaster early warning information to the affected area through SMS push and voice broadcast, which helps people evacuate the affected area more promptly and greatly reduces the harm caused by geological disasters. At the same time, based on the information fed back by the early warning release module, the early warning response module prepares and deploys resources in advance through the contingency plan management unit, resource scheduling unit and information feedback unit, transports rescue equipment and materials to the vicinity of areas that may be affected by disasters, and organizes rescue personnel to stand by to ensure that rescue work can be carried out quickly when a disaster occurs.

[0024] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A geological disaster early warning emergency response management system, characterized in that, Comprise: The center module, monitoring module, data acquisition module, data transmission module, early warning processing module, early warning release module and early warning response module, the monitoring module is connected to the center module, the data acquisition module is connected to the monitoring module, the data transmission module is connected to the data acquisition module, the early warning processing module is connected to the data transmission module, the early warning processing module is connected to the data transmission module, the early warning release module is connected to the early warning processing module, the early warning response module is connected to the early warning release module, the monitoring module monitors the geological disaster type, the monitoring module feeds back the monitoring information to the data acquisition module, the acquisition module feeds back the information obtained to the data transmission module, the data transmission module feeds back the information obtained to the early warning processing module, the early warning processing module feeds back the information obtained to the early warning release module, the early warning release module pushes the information obtained to publish, and the early warning release module feeds back the information obtained to the early warning response module. 2.The geological disaster early warning and emergency response management system of claim 1, wherein, The monitoring module comprises a displacement monitoring unit, a crack monitoring unit and a rainfall monitoring unit, the displacement monitoring unit monitors the displacement change of the mountain and slope, and the displacement risk degree is quantified by a displacement rate calculation formula (1); the crack monitoring unit monitors the on-site crack of the geological disaster hidden danger point and records the crack width change; the rainfall monitoring unit monitors the rainfall of the geological disaster area and counts the rainfall per unit time; （1） wherein v is the average displacement rate of the displacement monitoring point, in mm / d, is the displacement change amount in the monitoring period, in mm, is the monitoring period, in d; when v>5 mm / d, the displacement monitoring unit sends a high-risk displacement early warning signal to the data acquisition module. 3.The geological disaster early warning and emergency response management system of claim 1, wherein, The data acquisition module comprises a timing acquisition unit, a real-time acquisition unit and a data cleaning unit, according to different geological monitoring points and monitoring parameters, the risk level is set based on the predetermined time interval, and the corresponding relationship between the risk level and the acquisition interval is shown in formula (2); The real-time acquisition unit monitors the area with high geological disaster risk in real time, and the monitoring frequency is not less than 1 time / 10 min; the large amount of geological environment data collected by the timing acquisition unit and the real-time acquisition unit is fed back to the data acquisition module; （2） Wherein, T is the acquisition time interval of the timing acquisition unit, the unit is h, k is the adjustment coefficient, the value range is [2, 6], the risk level R is set according to the regional geological complexity, the value is 1-5, 1 is the lowest risk, and 5 is the highest risk. 4.The geological disaster early warning and emergency response management system of claim 1, wherein, The data transmission module is connected with the data cleaning unit, the data cleaning unit removes noise in the original data fed back by the data acquisition module, fills in the missing data, identifies and processes abnormal values, wherein the 3σ criterion is adopted for abnormal value identification, as shown in formula (3); （3） Wherein, x is the original monitoring data; μ is the sample mean of the monitoring parameter; σ is the sample standard deviation of the monitoring parameter; the value satisfying formula (3) is determined as an abnormal value, and the adjacent data interpolation method is adopted for the abnormal value replacement processing.

5. The geological disaster early warning emergency response management system of claim 1, wherein, The early warning processing module comprises a type distinguishing unit, a grade dividing unit and a region analyzing unit. The type distinguishing unit determines the type of geological disaster according to the data fed back by the data transmission module. The grade dividing unit is used for determining the early warning grade of geological disaster. The early warning grade is divided into four grades, namely, grade I: extremely serious, grade II: serious, grade III: relatively heavy, and grade IV: general. The weighted score calculation is shown in formula (4). The region analyzing unit locates the specific position and influence range of the occurrence of geological disaster in combination with GIS geographic information data. （4） wherein S is the comprehensive early warning score of geological disaster, with a full score of 100; w1, w2 and w3 are the weights of displacement, crack and rainfall parameters respectively, satisfying w1+w2+w3=1, and being dynamically adjusted according to the type of disaster; s1, s2 and s3 are the standardized scores of displacement, crack and rainfall parameters respectively, with a full score of 100; when S≥80, it is grade I early warning; when 60≤S<80, it is grade II early warning; when 40≤S<60, it is grade III early warning; and when S<40, it is grade IV early warning.

6. The geological disaster early warning emergency response management system of claim 1, wherein, The early warning release module comprises an information pushing unit and a voice broadcasting unit. The early warning release module produces the type, harm grade and distribution region of the occurrence of geological disaster according to the information fed back by the early warning processing module. The information pushing unit determines the pushing range according to the early warning grade. The pushing range radius is calculated as shown in formula (5). The information of the type, harm grade and distribution region of the occurrence of geological disaster is pushed to the target region user. The voice broadcasting unit cyclically broadcasts the type, harm grade and distribution region of the occurrence of geological disaster in the public broadcasting system of the target region. （5） wherein r is the early warning information pushing range radius, with a unit of km, and a is the range coefficient, with a value of 0.05 km / min, and being finely adjusted according to the population density of the region. S is the comprehensive early warning score of geological disaster as described in claim 5.

7. The geological disaster early warning emergency response management system of claim 1, wherein, The early warning response module comprises a preplan management unit, a resource scheduling unit and an information feedback unit. The preplan management unit stores and manages the emergency response preplans of various types of geological disasters, realizes the sharing and exchange of geological disaster prevention information, and supports the query, modification and update of preplans. The resource scheduling unit integrates emergency resource information, calculates the matching degree of resources and demand based on a resource matching degree model as shown in formula (6), and realizes the reasonable scheduling and distribution of resources. The information feedback unit reports the disaster situation, emergency response measures and rescue progress information to the superior department at a predetermined time interval. （6） Wherein, M is the matching degree of emergency resource and demand, the value range is [0, 1], the closer to 1, the higher the matching degree; n is the number of emergency resource types; q i is the number of demand of the i-th resource; p i is the ratio of the existing number and the demand number of the i-th resource .

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