A geological disaster early warning and monitoring management system

Abstract

The embodiment of the present invention relates to the field of geological disaster early warning technology, and specifically discloses a geological disaster early warning and monitoring management system. The embodiment of the present invention obtains multi-dimensional monitoring data by performing multi-dimensional monitoring of geological disasters; determines whether there is a geological disaster risk; when there is a geological disaster risk, determines the geological disaster sub-area; performs direct early warning monitoring, determines multiple online mobile terminals; sends disaster warning signals to multiple online mobile terminals for direct geological disaster warning; performs auxiliary early warning monitoring, determines multiple offline mobile terminals; forwards disaster warning signals to multiple offline mobile terminals through multiple online mobile terminals, and performs indirect geological disaster warning. It is possible to identify multiple online mobile terminals, perform direct geological disaster warnings, and monitor and determine multiple offline mobile terminals through multiple online mobile terminals, and perform indirect geological disaster warnings on multiple offline mobile terminals, thereby achieving comprehensive early warnings of geological disasters on all mobile terminals.

Description

Technical Field

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

[0002] Geological disasters usually include landslides, mudslides, debris flows, ground collapses, ground fissures, ground subsidence and other disasters related to geological actions.

[0003] In the prior art, geological disasters (such as earthquakes) can be warned through the user's mobile terminal, reminding people in time to take disaster prevention measures. However, the mobile terminal that can issue warnings needs to meet multiple requirements in hardware and software, resulting in the inability to popularize geological disaster warnings on all mobile terminals. Therefore, it is impossible to achieve comprehensive warning of geological disasters. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a geological disaster early warning and monitoring management system, aiming to solve the problems raised in the background technology.

[0005] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0006] A geological disaster early warning and monitoring management system, the system includes a regional multi-dimensional monitoring unit, a geological risk judgment unit, an early warning signal generation unit, a direct early warning monitoring unit, a disaster direct early warning unit, an auxiliary early warning monitoring unit and a disaster indirect early warning unit, wherein:

[0007] A regional multi-dimensional monitoring unit is used to determine a target monitoring area, perform multi-dimensional monitoring of geological disasters in the target monitoring area, and obtain multi-dimensional monitoring data;

[0008] A geological risk judgment unit, used to analyze the multi-dimensional monitoring data to determine whether there is a geological disaster risk;

[0009] A warning signal generating unit, used to determine a geological disaster sub-area from the target monitoring area and generate a disaster warning signal when there is a geological disaster risk;

[0010] A direct early warning monitoring unit is used to perform direct early warning monitoring on the geological disaster sub-area and determine multiple online mobile terminals;

[0011] A disaster direct warning unit, used to send the disaster warning signal to multiple online mobile terminals to conduct direct geological disaster warning;

[0012] An auxiliary early warning monitoring unit, used to perform auxiliary early warning monitoring based on the plurality of online mobile terminals and determine a plurality of offline mobile terminals;

[0013] The disaster indirect warning unit is used to forward the disaster warning signal to multiple offline mobile terminals through multiple online mobile terminals to carry out indirect warning of geological disasters.

[0014] Compared with the prior art, the present invention has the following beneficial effects:

[0015] The embodiment of the present invention obtains multi-dimensional monitoring data by performing multi-dimensional monitoring of geological disasters; determines whether there is a geological disaster risk; determines a geological disaster sub-area when there is a geological disaster risk; performs direct early warning monitoring and determines multiple online mobile terminals; sends disaster warning signals to multiple online mobile terminals to perform direct geological disaster warnings; performs auxiliary early warning monitoring and determines multiple offline mobile terminals; forwards disaster warning signals to multiple offline mobile terminals through multiple online mobile terminals to perform indirect geological disaster warnings. It is possible to identify multiple online mobile terminals to perform direct geological disaster warnings, and monitor and determine multiple offline mobile terminals through multiple online mobile terminals, and perform indirect geological disaster warnings on multiple offline mobile terminals, thereby achieving comprehensive early warnings of geological disasters on all mobile terminals. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0017] Figure 1 The structure diagram of the system provided by the embodiment of the present invention is shown.

[0018] Figure 2 The structure block diagram of the regional multi-dimensional monitoring unit in the system provided by the embodiment of the present invention is shown.

[0019] Figure 3 The structure block diagram of the multi-dimensional monitoring module in the system provided by the embodiment of the present invention is shown.

[0020] Figure 4 The structure block diagram of the geological risk judgment unit in the system provided by the embodiment of the present invention is shown.

[0021] Figure 5 The structure block diagram of the early warning signal generating unit in the system provided by the embodiment of the present invention is shown.

[0022] Figure 6 The structure block diagram of the direct early warning monitoring unit in the system provided by the embodiment of the present invention is shown.

[0023] Figure 7 The structure block diagram of the disaster direct warning unit in the system provided by the embodiment of the present invention is shown.

[0024] Figure 8The structure block diagram of the auxiliary early warning monitoring unit in the system provided by the embodiment of the present invention is shown.

[0025] Fig. 9 The structure block diagram of the indirect disaster warning unit in the system provided by the embodiment of the present invention is shown.

[0026] Fig.10 The structure block diagram of the signal indirect sending module in the system provided by the embodiment of the present invention is shown. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0028] It is understandable that geological disasters usually include disasters related to geological action, such as landslides, mudslides, ground subsidence, ground fissures, and ground subsidence. In the prior art, geological disasters (such as earthquakes) can be warned through the user's mobile terminal to remind people to take disaster precautions in a timely manner. However, the mobile terminal that can issue an early warning needs to meet multiple requirements in hardware and software, which makes it impossible to popularize geological disaster early warnings on all mobile terminals, and thus, it is impossible to achieve comprehensive early warnings of geological disasters.

[0029] To solve the above problems, the embodiment of the present invention uses a regional multi-dimensional monitoring unit to determine the target monitoring area, perform multi-dimensional monitoring of geological disasters on the target monitoring area, and obtain multi-dimensional monitoring data; a geological risk judgment unit is used to analyze the multi-dimensional monitoring data to determine whether there is a geological disaster risk; an early warning signal generation unit is used to determine the geological disaster sub-area from the target monitoring area when there is a geological disaster risk, and generate a disaster early warning signal; a direct early warning monitoring unit is used to perform direct early warning monitoring on the geological disaster sub-area and determine multiple online mobile terminals; a disaster direct early warning unit is used to send the disaster early warning signal to multiple online mobile terminals for direct geological disaster early warning; an auxiliary early warning monitoring unit is used to perform auxiliary early warning monitoring based on multiple online mobile terminals and determine multiple offline mobile terminals; a disaster indirect early warning unit is used to forward the disaster early warning signal to multiple offline mobile terminals through multiple online mobile terminals for indirect geological disaster early warning. It can identify multiple online mobile terminals, perform direct geological disaster early warning, and monitor and determine multiple offline mobile terminals through multiple online mobile terminals, and perform indirect geological disaster early warning on multiple offline mobile terminals, thereby realizing comprehensive early warning of geological disasters on all mobile terminals.

[0030] In a preferred embodiment of the present invention, Figure 1 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0031] Specifically, a geological disaster early warning and monitoring management system includes:

[0032] The regional multi-dimensional monitoring unit 101 is used to determine a target monitoring area, perform multi-dimensional monitoring of geological disasters in the target monitoring area, and obtain multi-dimensional monitoring data.

[0033] In an embodiment of the present invention, when there is a need for geological disaster early warning and monitoring and management, the regional multi-dimensional monitoring unit 101 receives the monitoring and management information input by the staff, identifies the target of the monitoring and management information, determines the target monitoring area, and then generates a multi-dimensional monitoring instruction. According to the multi-dimensional monitoring instruction, multi-dimensional monitoring of cracks, inclination acceleration monitoring, multi-point deformation monitoring, mud level monitoring, rainfall monitoring and soil moisture content monitoring are performed at multiple preset monitoring points in the target monitoring area to obtain multi-dimensional monitoring data including crack monitoring data, inclination monitoring data, deformation monitoring data, mud level monitoring data, rainfall monitoring data and moisture content monitoring data.

[0034] Specifically, Figure 2 It shows a structural block diagram of the regional multi-dimensional monitoring unit 101 in the system provided by the embodiment of the present invention.

[0035] Among them, in the preferred embodiment provided by the present invention, the regional multi-dimensional monitoring unit 101 specifically includes:

[0036] The information receiving module 1011 is used to receive the monitoring and management information of geological disasters;

[0037] The target identification module 1012 is used to identify the target of the monitoring management information and determine the target monitoring area;

[0038] An instruction generation module 1013 is used to generate multi-dimensional monitoring instructions;

[0039] The multi-dimensional monitoring module 1014 is used to perform multi-dimensional monitoring of geological disasters in the target monitoring area according to the multi-dimensional monitoring instructions and obtain multi-dimensional monitoring data.

[0040] Specifically, Figure 3 It shows a structural block diagram of the multi-dimensional monitoring module 1014 in the system provided by the embodiment of the present invention.

[0041] Among them, in the preferred embodiment provided by the present invention, the multi-dimensional monitoring module 1014 specifically includes:

[0042] A multi-dimensional crack monitoring instrument 10141 is used to perform multi-dimensional crack monitoring in the target monitoring area and obtain crack monitoring data;

[0043] The inclination accelerometer 10142 is used to perform inclination acceleration monitoring in the target monitoring area and obtain inclination monitoring data;

[0044] The multi-point deformation monitoring instrument submodule 10143 is used to perform multi-point deformation monitoring in the target monitoring area and obtain deformation monitoring data;

[0045] The mud level meter submodule 10144 is used to monitor the mud level in the target monitoring area and obtain mud level monitoring data;

[0046] The rain gauge submodule 10145 is used to monitor rainfall in the target monitoring area and obtain rainfall monitoring data;

[0047] The moisture content monitor 10146 is used to monitor the soil moisture content in the target monitoring area and obtain moisture content monitoring data.

[0048] Furthermore, the geological disaster early warning and monitoring management system specifically includes:

[0049] The geological risk judgment unit 102 is used to analyze the multi-dimensional monitoring data to determine whether there is a geological disaster risk.

[0050] In an embodiment of the present invention, the geological risk judgment unit 102 obtains multidimensional standard data of standard intervals including multidimensional monitoring of cracks, inclination acceleration monitoring, multi-point deformation monitoring, mud level monitoring, rainfall monitoring and soil moisture content monitoring, and then compares and analyzes the multidimensional monitoring data with the multidimensional standard data, records the data comparison results, and determines whether there is a geological disaster risk. Specifically, when the multidimensional monitoring data exceeds the standard interval corresponding to the multidimensional standard data, it is determined that there is a geological disaster risk; and when the multidimensional monitoring data does not exceed the standard interval corresponding to the multidimensional standard data, it is determined that there is no geological disaster risk.

[0051] Specifically, Figure 4 The structure block diagram of the geological risk judgment unit 102 in the system provided by the embodiment of the present invention is shown.

[0052] Among them, in the preferred embodiment provided by the present invention, the geological risk judgment unit 102 specifically includes:

[0053] The standard acquisition module 1021 is used to acquire multi-dimensional standard data;

[0054] A comparison and analysis module 1022, configured to perform a comparison and analysis on the multi-dimensional monitoring data based on the multi-dimensional standard data, and record data comparison results;

[0055] The geological risk judgment module 1023 is used to judge whether there is a geological disaster risk based on the data comparison result.

[0056] As a further preferred embodiment of the present invention, based on the multi-dimensional standard data, comparing and analyzing the multi-dimensional monitoring data, and recording the data comparison results specifically include the following steps:

[0057] The multi-dimensional monitoring data is subjected to parameter standardization processing according to the corresponding safety thresholds to obtain the standardized ratio of each parameter;

[0058] The preset geomechanical model is called according to the geological data of the monitoring area to generate a coupling index of the interaction strength between various parameters in the monitoring area;

[0059] The standardized ratio is used as a ratio, and the corresponding coupling index is used as an index to amplify the standardized ratio to obtain an amplified ratio;

[0060] The amplified ratios are integrated to reflect the static risk level under the synergistic effect of multiple parameters and obtain the benchmark risk value;

[0061] Obtain geological data from historical disasters, and match the geological data of the current monitoring area with the geological data from historical disasters to generate a mutation response coefficient;

[0062] Acquire multidimensional monitoring data within a time period, and calculate the rate of change of each parameter in the multidimensional monitoring data within the time period;

[0063] According to the importance of different types of parameters in the multi-dimensional monitoring data, weights are assigned, the change rate of each parameter and the weight are weighted summed, and the weighted summation result is merged with the corresponding coefficient of the mutation to obtain the dynamic acceleration term value;

[0064] Obtain geological stress measurement data from the geological data of the monitoring area, and make threshold predictions based on the current geological stress measurement data and historical disaster data to generate the current warning critical value;

[0065] The baseline risk value and the dynamic acceleration item value are integrated to generate a comprehensive risk value, which is then compared with the warning critical value to determine whether there is a geological disaster risk.

[0066] The above scheme is divided into several parts: parameter coupling effect calculation, dynamic response acceleration item calculation and comprehensive early warning judgment. The parameter coupling effect calculation part takes into account the interaction between multiple parameters and generates a coupling index through a geological model. This not only handles the excess of a single parameter, but also takes into account the synergistic effect of multiple parameters. This is more comprehensive than the traditional method and improves the accuracy of early warning. In addition, the dynamic response acceleration item calculation introduces the time factor and calculates the change rate of the parameter, which can capture the mutation characteristics before the occurrence of geological disasters, which is very critical for timely early warning. The use of weighted summation and mutation response coefficients further optimizes the processing of dynamic changes and enhances the system's sensitivity to sudden anomalies. The dynamic threshold is used in the comprehensive early warning judgment stage, and the LSTM model is combined for real-time adjustment to avoid false alarms or missed alarms that may be caused by fixed thresholds, thereby improving the adaptability and accuracy of the system. In addition, the synthesis of the comprehensive risk value combines static and dynamic factors, making the early warning judgment more comprehensive.

[0067] Furthermore, the geological disaster early warning and monitoring management system specifically includes:

[0068] The warning signal generating unit 103 is used to determine the geological disaster sub-area from the target monitoring area and generate a disaster warning signal when there is a geological disaster risk.

[0069] In an embodiment of the present invention, when there is a geological disaster risk, the warning signal generating unit 103 screens out disaster risk data that exceeds the standard range from the multi-dimensional monitoring data, and then locates and identifies the disaster risk data, extracts multiple risk location data from the disaster risk data, performs regional positioning according to the multiple risk location data, determines the geological disaster sub-area from the target monitoring area, and then generates a targeted disaster warning signal based on the geological disaster sub-area.

[0070] Specifically, Figure 5 It shows a structural block diagram of the warning signal generating unit 103 in the system provided by the embodiment of the present invention.

[0071] Among them, in the preferred implementation manner provided by the present invention, the warning signal generating unit 103 specifically includes:

[0072] The data screening module 1031 is used to screen disaster risk data from the multi-dimensional monitoring data when there is a geological disaster risk;

[0073] A positioning acquisition module 1032 is used to acquire a plurality of risk positioning data from the disaster risk data;

[0074] A sub-region determination module 1033 is used to determine a geological disaster sub-region from the target monitoring area according to the plurality of risk location data;

[0075] The signal generating module 1034 is used to generate a disaster warning signal according to the geological disaster sub-area.

[0076] As a further preferred embodiment of the present invention, determining the geological disaster sub-area from the target monitoring area according to the plurality of risk location data specifically comprises the following steps:

[0077] Risk location data includes risk point coordinates, basic impact radius and risk intensity value;

[0078] Obtain the pre-trained λ coefficient query table and the historical disaster database, and match the λ coefficient value of the corresponding scenario from the historical disaster database according to the geological data of the area where the risk point coordinates are located and the current season parameters;

[0079] Calculate the dynamic adjustment factor based on the risk intensity value and the lambda coefficient value of the corresponding scenario;

[0080] The basic influence radius is adjusted using the dynamic adjustment factor to obtain the dynamic influence radius;

[0081] With the risk point coordinates as the center and the dynamic impact radius as the distance threshold, a circular impact area is generated;

[0082] The union of all circular impact areas is calculated to determine the overlapping areas, and the overlapping areas are fused to eliminate the internal boundaries and generate a continuous geographic polygon outline to obtain the fused geological hazard sub-area range;

[0083] The fused geological disaster sub-area range is set along the polygonal boundary in an interval manner to form several feature points, and the coordinates of the feature points are obtained;

[0084] All feature points are simplified using the Douglas-Peucker algorithm, key turning points are retained, and the coordinate set of the geological hazard sub-area is output.

[0085] In the above scheme, the present invention dynamically adjusts the foundation influence radius according to the λ coefficient. Through the differentiated setting of the dynamic influence radius, a larger continuous warning area is automatically formed in the soft stratum area to accurately reflect the soil creep characteristics. In addition, the risk intensity value is introduced. When the risk intensity value of a certain point reaches 80% of the maximum value, the influence radius automatically shrinks to 28% of the original value, forcing the system to focus on the core danger zone, so that the system can focus more on the high-risk areas of the tank group, more accurately locate the real danger points, and reduce the possibility of false alarms and missed reports. Avoid the system from monitoring all areas in a dispersed manner, which may cause unnecessary alarms due to noise or interference from low-risk points.

[0086] As a further preferred embodiment of the present invention, calculating the dynamic adjustment factor according to the risk intensity value and the lambda coefficient value of the corresponding scenario specifically includes the following steps:

[0087] Obtain the current risk intensity value, maximum risk intensity value, lambda coefficient value, critical lambda coefficient value, real-time rainfall intensity and critical rainfall for geological collapse;

[0088] The rainfall intensity ratio is calculated based on the proportional relationship between the real-time rainfall intensity and the critical rainfall for geological collapse;

[0089] The rainfall intensity ratio is linearly amplified to generate initial environmental adaptive parameters;

[0090] The geological state ratio is calculated based on the proportional relationship between the lambda coefficient value and the critical lambda coefficient value;

[0091] Quantify the geological state ratio to obtain the value of the geological environment's deviation from the stable state;

[0092] The quantum response coefficient is obtained by using the exponential operation of the value of the geological environment deviating from the stable state and the ratio of the geological state to simulate the quantum tunneling effect;

[0093] A standardized intensity ratio is generated based on the current risk intensity value and the maximum risk intensity value, and the result is fused with the lambda coefficient value to form a preliminary adjustment factor, which is then fused with the quantum response coefficient to form the final dynamic adjustment factor.

[0094] In the above scheme, the present invention calculates the ratio of real-time rainfall intensity to critical rainfall, so that the system has the ability to automatically strengthen the response in heavy rain scenes, avoiding the risk of failure of the traditional static threshold method in extreme weather. And a quantum tunneling effect simulation is set. Through the quantitative calculation of the geological state ratio, the turning point from quantitative change to qualitative change of the geological environment is accurately identified to achieve two-way regulation. For example, when the risk area is a rainy season parameter of loose sedimentary layers, the exponential term produces an attenuation effect to avoid excessive contraction of the monitoring range; when the risk area is a granite stable area, the exponential term enhances the signal output to compensate for the low sensitivity of the geological parameters. Through dual-channel coupling, the basic adjustment factor carries the geological-intensity basic relationship, and the quantum response coefficient introduces environmental dynamic correction to form a dual guarantee of physical mechanism and data-driven.

[0095] As a further preferred embodiment of the present invention, the union of all circular impact areas is calculated to obtain overlapping areas, and the overlapping areas are fused to eliminate internal boundaries to generate continuous geographic polygon outlines, and the fused geological disaster sub-area range is obtained, which specifically includes the following steps:

[0096] Obtain the dynamic impact radius, risk intensity value, area number of the circular impact area, and the geological sensitivity index corresponding to the geological type;

[0097] The radii of two circular influence areas with adjacent area numbers are obtained, and the power weights of the radii of the two circular influence areas are calculated according to the geological sensitivity indexes corresponding to the circular influence areas;

[0098] Calculate the weighted cumulative value of two adjacent circular impact areas according to the power weights of the radii of the two circular impact areas and the corresponding risk intensity values;

[0099] The power weights of two adjacent circular influence areas are merged as the standardized reference value;

[0100] The standardized benchmark value is used as the denominator to calculate the numerator of the weighted cumulative value to obtain the fusion weight;

[0101] Obtain the intensity difference between the risk intensity values ​​of two adjacent circular impact areas, and select the direction of offset to the positions of the two adjacent circular impact areas according to the positive or negative value of the intensity difference;

[0102] Obtain the preset maximum offset distance, and adjust the maximum offset distance according to the magnitude of the intensity difference to obtain the basic offset, and then use the fusion weight to adjust the basic offset to obtain the actual offset;

[0103] Calculate the union of all circular influence areas to obtain the overlapping area, and select 5 reference points at equal intervals on the boundary of the overlapping area;

[0104] According to the actual offset, each reference point is translated along the normal direction to generate a new connection point coordinate set, and the new coordinate points are interpolated with cubic spline to obtain the optimized connection point coordinate set.

[0105] In the above scheme, the geological sensitivity index of the present invention is completely separated from the parameters such as the λ coefficient value and the risk intensity value at the data source and calculation level. The geological sensitivity index is obtained through expert experience and does not rely on the real-time changes of other parameters. When the risk intensity sensor has data anomalies, the geological sensitivity index can still maintain a stable output to avoid erroneous conduction. In addition, the geological sensitivity index is used to perform power operations on the dynamic impact radius to establish a nonlinear mathematical relationship between the radius and the risk intensity, rather than traditional linear weighting. When the geological sensitivity index α>1, the coverage weight of the high-risk area is amplified; when the geological sensitivity index α<1, the compensation effect of the low-risk area is strengthened to achieve two-way adjustment. In the special case of the geological sensitivity index α=1, it automatically degenerates into linear weighting to provide a reference point for system debugging. In addition, each calculation step corresponds to the principle of geomechanics (such as the offset calculation reflects the direction of rock stress transmission). Technicians can locate high-risk geological units by reversely analyzing the value of the fusion weight.

[0106] Furthermore, the geological disaster early warning and monitoring management system specifically includes:

[0107] The direct early warning monitoring unit 104 is used to perform direct early warning monitoring on the geological disaster sub-area and determine multiple online mobile terminals.

[0108] In the embodiment of the present invention, the direct early warning monitoring unit 104 performs direct early warning monitoring on the geological disaster sub-area, obtains multiple online signals, and then identifies the multiple online signals to determine multiple online mobile terminals.

[0109] It can be understood that the online mobile terminal is a mobile terminal that meets various hardware and software requirements for direct early warning, and can be smart mobile devices such as smartphones, smart watches, and tablets.

[0110] Specifically, Figure 6 It shows a structural block diagram of the direct early warning monitoring unit 104 in the system provided by the embodiment of the present invention.

[0111] Among them, in the preferred embodiment provided by the present invention, the direct early warning monitoring unit 104 specifically includes:

[0112] A direct early warning monitoring module 1041 is used to perform direct early warning monitoring on the geological disaster sub-area and obtain multiple online signals;

[0113] The online mobile terminal determination module 1042 is used to identify the multiple online signals and determine multiple online mobile terminals.

[0114] Furthermore, the geological disaster early warning and monitoring management system specifically includes:

[0115] The disaster direct warning unit 105 is used to send the disaster warning signal to multiple online mobile terminals to carry out direct geological disaster warning.

[0116] In an embodiment of the present invention, the disaster direct warning unit 105 obtains the online addresses of multiple online mobile terminals, and then sends the disaster warning signal directly to the multiple online mobile terminals according to the online addresses of the multiple online mobile terminals, so that after receiving the disaster warning signal, the multiple online mobile terminals can issue a direct warning of geological disasters to remind users of the multiple online mobile terminals to take emergency evacuation.

[0117] Specifically, Figure 7 It shows a structural block diagram of the disaster direct warning unit 105 in the system provided by the embodiment of the present invention.

[0118] Among them, in the preferred implementation mode provided by the present invention, the disaster direct warning unit 105 specifically includes:

[0119] An online address acquisition module 1051 is used to acquire the online addresses of the multiple online mobile terminals;

[0120] A signal direct sending module 1052 is used to send the disaster warning signal directly to multiple online mobile terminals according to the multiple online addresses;

[0121] The direct warning module 1053 is used to provide direct warning of geological disasters on the multiple online mobile terminals.

[0122] Furthermore, the geological disaster early warning and monitoring management system specifically includes:

[0123] The auxiliary early warning monitoring unit 106 is used to perform auxiliary early warning monitoring based on the multiple online mobile terminals and determine multiple offline mobile terminals.

[0124] In the embodiment of the present invention, the auxiliary early warning monitoring unit 106 performs auxiliary early warning monitoring based on multiple online mobile terminals, obtains multiple offline signals, and then identifies the multiple offline signals to determine multiple offline mobile terminals.

[0125] It is understandable that an offline mobile terminal is a mobile terminal that does not meet the hardware or software requirements for direct early warning, but is able to communicate with an online mobile terminal.

[0126] Specifically, Figure 8 It shows a structural block diagram of the auxiliary early warning monitoring unit 106 in the system provided by an embodiment of the present invention.

[0127] Among them, in the preferred embodiment provided by the present invention, the auxiliary early warning monitoring unit 106 specifically includes:

[0128] The auxiliary early warning monitoring module 1061 is used to perform auxiliary early warning monitoring based on the multiple online mobile terminals to obtain multiple offline signals;

[0129] The offline mobile terminal determination module 1062 is used to identify multiple offline signals and determine multiple offline mobile terminals.

[0130] Furthermore, the geological disaster early warning and monitoring management system specifically includes:

[0131] The disaster indirect warning unit 107 is used to forward the disaster warning signal to multiple offline mobile terminals through multiple online mobile terminals to perform indirect warning of geological disasters.

[0132] In an embodiment of the present invention, the disaster indirect warning unit 107 obtains the offline addresses of multiple offline mobile terminals and the communication relationship between the multiple offline mobile terminals and the multiple online mobile terminals, and then constructs a connection communication channel between the multiple online mobile terminals and the multiple offline mobile terminals according to the multiple communication relationships, multiple offline addresses and multiple online addresses. Then, through the multiple connection communication channels, the multiple online mobile terminals can indirectly send disaster warning signals to the multiple offline mobile terminals, so that after receiving the disaster warning signals, the multiple offline mobile terminals can directly warn of geological disasters, remind the users of the multiple offline mobile terminals to take emergency evacuation, and realize comprehensive warning of geological disasters on all mobile terminals.

[0133] Specifically, Fig. 9 It shows a structural block diagram of the disaster indirect warning unit 107 in the system provided by the embodiment of the present invention.

[0134] Among them, in the preferred implementation mode provided by the present invention, the disaster indirect warning unit 107 specifically includes:

[0135] The offline address acquisition module 1071 is used to acquire the offline addresses of the multiple offline mobile terminals.

[0136] The signal indirect sending module 1072 is used to indirectly send the disaster warning signal to multiple offline mobile terminals according to the multiple offline addresses.

[0137] Specifically, Fig.10 It shows a structural block diagram of the signal indirect sending module 1072 in the system provided by an embodiment of the present invention.

[0138] Among them, in the preferred implementation manner provided by the present invention, the signal indirect sending module 1072 specifically includes:

[0139] The communication relationship acquisition submodule 10721 is used to acquire the communication relationship between the multiple offline mobile terminals and the multiple online mobile terminals;

[0140] The communication channel construction submodule 10722 is used to construct a connection communication channel between the multiple online mobile terminals and the multiple offline mobile terminals according to the multiple communication relationships, the multiple offline addresses and the multiple online addresses;

[0141] The signal indirect sending submodule 10723 is used to indirectly send the disaster warning signal to the multiple offline mobile terminals through the multiple connection communication channels.

[0142] Furthermore, the disaster indirect warning unit 107 specifically includes:

[0143] The indirect warning module 1073 is used to perform indirect warning of geological disasters on multiple offline mobile terminals.

[0144] Furthermore, in another preferred embodiment of the present invention, a geological disaster early warning and monitoring management method specifically includes the following steps:

[0145] Step 1: determine the target monitoring area, conduct multi-dimensional monitoring of geological disasters in the target monitoring area, and obtain multi-dimensional monitoring data;

[0146] Step 2: Analyze the multi-dimensional monitoring data to determine whether there is a geological disaster risk;

[0147] Step 3: When there is a geological disaster risk, determine the geological disaster sub-area from the target monitoring area and generate a disaster warning signal;

[0148] Step 4: Conduct direct early warning monitoring on the geological disaster sub-area and determine multiple online mobile terminals;

[0149] Step 5: Send the disaster warning signal to multiple online mobile terminals to directly warn of geological disasters;

[0150] Step 6: Based on the multiple online mobile terminals, perform auxiliary early warning monitoring to determine multiple offline mobile terminals;

[0151] Step seven: forwarding the disaster warning signal to multiple offline mobile terminals through multiple online mobile terminals to conduct indirect geological disaster warning.

[0152] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0153] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0154] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0155] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0156] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A geological disaster early warning and monitoring management system, characterized in that: The system includes a regional multi-dimensional monitoring unit, a geological risk judgment unit, an early warning signal generation unit, a direct early warning monitoring unit, a disaster direct early warning unit, an auxiliary early warning monitoring unit and an indirect disaster early warning unit, wherein: A regional multi-dimensional monitoring unit is used to determine a target monitoring area, perform multi-dimensional monitoring of geological disasters in the target monitoring area, and obtain multi-dimensional monitoring data; A geological risk judgment unit, used to analyze the multi-dimensional monitoring data to determine whether there is a geological disaster risk; A warning signal generating unit, used to determine a geological disaster sub-area from the target monitoring area and generate a disaster warning signal when there is a geological disaster risk; A direct early warning monitoring unit is used to perform direct early warning monitoring on the geological disaster sub-area and determine multiple online mobile terminals; A disaster direct warning unit, used to send the disaster warning signal to multiple online mobile terminals to conduct direct geological disaster warning; An auxiliary early warning monitoring unit, used to perform auxiliary early warning monitoring based on the plurality of online mobile terminals and determine a plurality of offline mobile terminals; A disaster indirect warning unit, used for forwarding the disaster warning signal to multiple offline mobile terminals through multiple online mobile terminals to perform indirect warning of geological disasters; The regional multi-dimensional monitoring unit specifically includes: An information receiving module is used to receive monitoring and management information of geological disasters; A target identification module is used to identify the target of the monitoring management information and determine the target monitoring area; An instruction generation module, used for generating multi-dimensional monitoring instructions; A multi-dimensional monitoring module, used to perform multi-dimensional monitoring of geological disasters in the target monitoring area according to the multi-dimensional monitoring instruction and obtain multi-dimensional monitoring data; Among them, from the target monitoring area, according to multiple risk location data, determining the geological disaster sub-area specifically includes the following steps: Risk location data includes risk point coordinates, basic impact radius and risk intensity value; Obtain the pre-trained λ coefficient query table and the historical disaster database, and match the λ coefficient value of the corresponding scenario from the historical disaster database according to the geological data of the area where the risk point coordinates are located and the current season parameters; Calculate the dynamic adjustment factor based on the risk intensity value and the lambda coefficient value of the corresponding scenario; The basic influence radius is adjusted using the dynamic adjustment factor to obtain the dynamic influence radius; With the risk point coordinates as the center and the dynamic impact radius as the distance threshold, a circular impact area is generated; The union of all circular impact areas is calculated to determine the overlapping areas, and the overlapping areas are fused to eliminate the internal boundaries and generate a continuous geographic polygon outline to obtain the fused geological hazard sub-area range; The fused geological disaster sub-area range is set along the polygonal boundary in an interval manner to form several feature points, and the coordinates of the feature points are obtained; All feature points are simplified using the Douglas-Peucker algorithm, key turning points are retained, and the coordinate set of the geological hazard sub-area is output.

2. The geological disaster early warning and monitoring management system according to claim 1 is characterized in that: The multi-dimensional monitoring module specifically includes: A multi-dimensional crack monitoring instrument, used to perform multi-dimensional crack monitoring in the target monitoring area and obtain crack monitoring data; An inclination accelerometer is used to perform inclination acceleration monitoring in the target monitoring area and obtain inclination monitoring data; A multi-point deformation monitoring instrument submodule is used to perform multi-point deformation monitoring in the target monitoring area and obtain deformation monitoring data; The mud level meter submodule is used to monitor the mud level in the target monitoring area and obtain mud level monitoring data; A rain gauge submodule, used to monitor rainfall in the target monitoring area and obtain rainfall monitoring data; The moisture content monitor is used to monitor the soil moisture content in the target monitoring area and obtain moisture content monitoring data.

3. The geological disaster early warning and monitoring management system according to claim 2 is characterized in that: The geological risk assessment unit specifically includes: A standard acquisition module is used to obtain multi-dimensional standard data; A comparison and analysis module, used for comparing and analyzing the multi-dimensional monitoring data based on the multi-dimensional standard data, and recording data comparison results; A geological risk judgment module is used to judge whether there is a geological disaster risk based on the data comparison result; Wherein, based on the multi-dimensional standard data, comparing and analyzing the multi-dimensional monitoring data and recording the data comparison results specifically include the following steps: The multi-dimensional monitoring data is subjected to parameter standardization processing according to the corresponding safety thresholds to obtain the standardized ratio of each parameter; The preset geomechanical model is called according to the geological data of the monitoring area to generate a coupling index of the interaction strength between various parameters in the monitoring area; The standardized ratio is used as a ratio, and the corresponding coupling index is used as an index to amplify the standardized ratio to obtain an amplified ratio; The amplified ratios are integrated to reflect the static risk level under the synergistic effect of multiple parameters and obtain the benchmark risk value; Obtain geological data from historical disasters, and match the geological data of the current monitoring area with the geological data from historical disasters to generate a mutation response coefficient; Acquire multidimensional monitoring data within a time period, and calculate the rate of change of each parameter in the multidimensional monitoring data within the time period; According to the importance of different types of parameters in the multi-dimensional monitoring data, weights are assigned, the change rate of each parameter and the weight are weighted summed, and the weighted summation result is merged with the corresponding coefficient of the mutation to obtain the dynamic acceleration term value; Obtain geological stress measurement data from the geological data of the monitoring area, and make threshold predictions based on current geological stress measurement data and historical disaster data to generate the current warning critical value; The baseline risk value and the dynamic acceleration item value are integrated to generate a comprehensive risk value, which is then compared with the warning critical value to determine whether there is a geological disaster risk.

4. The geological disaster early warning and monitoring management system according to claim 3 is characterized in that: The warning signal generating unit specifically includes: A data screening module, used to screen disaster risk data from the multi-dimensional monitoring data when there is a geological disaster risk; A positioning acquisition module, used to acquire a plurality of risk positioning data from the disaster risk data; A sub-region determination module, used to determine a geological disaster sub-region from the target monitoring area according to the plurality of risk location data; The signal generation module is used to generate a disaster warning signal according to the geological disaster sub-area.

5. The geological disaster early warning and monitoring management system according to claim 1 is characterized in that: The calculation of the dynamic adjustment factor according to the risk intensity value and the lambda coefficient value of the corresponding scenario specifically includes the following steps: Obtain the current risk intensity value, maximum risk intensity value, lambda coefficient value, critical lambda coefficient value, real-time rainfall intensity and critical rainfall for geological collapse; The rainfall intensity ratio is calculated based on the proportional relationship between the real-time rainfall intensity and the critical rainfall for geological collapse; The rainfall intensity ratio is linearly amplified to generate initial environmental adaptive parameters; The geological state ratio is calculated based on the proportional relationship between the lambda coefficient value and the critical lambda coefficient value; Quantify the geological state ratio to obtain the value of the geological environment's deviation from the stable state; The quantum tunneling effect is simulated by using the value of the geological environment deviating from the stable state and the ratio of the geological state to obtain the quantum response coefficient. A standardized intensity ratio is generated based on the current risk intensity value and the maximum risk intensity value, and the result is fused with the lambda coefficient value to form a preliminary adjustment factor, which is then fused with the quantum response coefficient to form the final dynamic adjustment factor.

6. The geological disaster early warning and monitoring management system according to claim 5 is characterized in that: Calculate the union of all circular impact areas to determine the overlapping areas, and fuse the overlapping areas to eliminate the internal boundaries to generate a continuous geographic polygon outline. The specific steps to obtain the fused geological hazard sub-area range are as follows: Obtain the dynamic impact radius, risk intensity value, area number of the circular impact area, and the geological sensitivity index corresponding to the geological type; The radii of two circular influence areas with adjacent area numbers are obtained, and the power weights of the radii of the two circular influence areas are calculated according to the geological sensitivity indexes corresponding to the circular influence areas; Calculate the weighted cumulative value of two adjacent circular impact areas according to the power weights of the radii of the two circular impact areas and the corresponding risk intensity values; The power weights of two adjacent circular influence areas are merged as the standardized reference value; The standardized benchmark value is used as the denominator to calculate the numerator of the weighted cumulative value to obtain the fusion weight; Obtain the intensity difference between the risk intensity values ​​of two adjacent circular impact areas, and select the direction of offset to the positions of the two adjacent circular impact areas according to the positive or negative value of the intensity difference; Get the preset maximum offset distance, and adjust the maximum offset distance according to the magnitude of the intensity difference to obtain the basic offset, and then use the fusion weight to adjust the basic offset to obtain the actual offset; Calculate the union of all circular influence areas to obtain the overlapping area, and select 5 reference points at equal intervals on the boundary of the overlapping area; According to the actual offset, each reference point is translated along the normal direction to generate a new connection point coordinate set, and the new coordinate points are interpolated with cubic spline to obtain the optimized connection point coordinate set.

7. The geological disaster early warning and monitoring management system according to claim 6 is characterized in that: The direct early warning monitoring unit specifically includes: A direct early warning monitoring module is used to perform direct early warning monitoring on the geological disaster sub-area and obtain multiple online signals; An online mobile terminal determination module, used to identify a plurality of online signals and determine a plurality of online mobile terminals; The direct disaster warning unit specifically includes: An online address acquisition module, used to acquire the online addresses of the multiple online mobile terminals; A signal direct sending module, used for directly sending the disaster warning signal to multiple online mobile terminals according to the multiple online addresses; A direct warning module is used to provide direct warning of geological disasters on multiple online mobile terminals; Wherein, the auxiliary early warning monitoring unit specifically includes: An auxiliary early warning monitoring module, used to perform auxiliary early warning monitoring based on the multiple online mobile terminals and obtain multiple offline signals; The offline mobile terminal determination module is used to identify multiple offline signals and determine multiple offline mobile terminals.

8. The geological disaster early warning and monitoring management system according to claim 7, characterized in that: The disaster indirect warning unit specifically includes: An offline address acquisition module, used to acquire offline addresses of multiple offline mobile terminals; A signal indirect sending module, used for indirectly sending the disaster warning signal to the multiple offline mobile terminals according to the multiple offline addresses; The indirect warning module is used to provide indirect warning of geological disasters on multiple offline mobile terminals.

9. The geological disaster early warning and monitoring management system according to claim 8, characterized in that: The signal indirect sending module specifically includes: A communication relationship acquisition submodule, used to acquire the communication relationship between the multiple offline mobile terminals and the multiple online mobile terminals; A communication channel construction submodule, used to construct a connection communication channel between a plurality of the online mobile terminals and a plurality of the offline mobile terminals according to a plurality of the communication relationships, a plurality of the offline addresses and a plurality of the online addresses; The signal indirect sending submodule is used to indirectly send the disaster warning signal to the multiple offline mobile terminals through the multiple connection communication channels.

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