A geological exploration safety monitoring method and system
By integrating monitoring parameters of ground elevation changes, landslide risks and mudslide risks, a comprehensive warning model is formed, and the critical value is updated in real time, the problems of insufficient data integration and poor adaptability of early warning systems in the existing geological disaster monitoring methods are solved, and the accuracy and adaptability of early warnings are improved.
Patent Information
- Application Number
- CN202411926608.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-25
- Publication Date
- 2025-04-04
AI Technical Summary
The existing geological disaster monitoring methods lack effective data integration mechanisms, resulting in low warning accuracy and lack of real-time updates and circular feedback mechanisms, which reduces the adaptive ability of the early warning system.
Through the unit reflecting the change of ground elevation within unit time, the unit assessing landslide risk and comprehensively assessing mudslide risk and early warning unit, the monitoring parameters of ground settlement, ground displacement, rainfall and mudslide flow rate are organically integrated to form a comprehensive early warning model, and the critical value is updated in real time to improve the sensitivity and accuracy of the early warning model.
It improves the accuracy of data utilization and early warning, enhances the adaptability and dynamicity of the early warning system, and ensures that the early warning system can promptly reflect the latest geological conditions and climatic conditions.
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Figure CN119763278A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of geological exploration monitoring, and in particular to a geological exploration safety monitoring method and system. Background Art
[0002] Geological exploration safety monitoring is a long-term, systematic process of observation, analysis, evaluation and prediction of the geological environment and potential geological disasters. With the deepening of mineral resource development and the continuous changes in the geological environment, the importance of geological exploration safety monitoring has become increasingly prominent. In order to ensure the safety of mining and engineering construction activities, it is necessary to adopt advanced technical means and methods for geological exploration safety monitoring. Geological exploration safety monitoring is an important means to prevent geological disasters and protect people’s lives and property.
[0003] At present, geological disaster monitoring technology is gradually developing towards automation and intelligence. By deploying various sensors, including elevation measurement sensors, displacement sensors, rainfall sensors and flow velocity sensors, it is possible to monitor changes in geological disaster-related parameters in real time. However, how to effectively integrate these monitoring data and improve the accuracy of data analysis and early warning is still an urgent problem to be solved in the current field of geological disaster monitoring.
[0004] Specifically, existing geological disaster monitoring methods often analyze each monitoring parameter in isolation and lack an effective data integration mechanism, resulting in low warning accuracy. Existing warning models are mostly based on empirical formulas and statistical methods, lacking refined models for specific geological disaster types, and it is difficult to accurately reflect the occurrence mechanism of geological disasters. In addition, the setting of critical values is often based on historical data and empirical values, and lacks a real-time update mechanism, resulting in insufficient sensitivity of the early warning system to geological disasters. In addition, existing monitoring methods often lack a circular feedback mechanism and cannot dynamically adjust monitoring parameters and early warning models according to the early warning results, reducing the adaptive ability of the early warning system. Summary of the invention
[0005] The purpose of the present invention is to provide a geological exploration safety monitoring method to solve the problems raised in the above-mentioned background technology.
[0006] To achieve the above object, the present invention provides the following technical solution, and the specific implementation steps are as follows:
[0007] Step 1: Use the data collection and monitoring module to survey and monitor the current geological area;
[0008] Step 2: Using the early warning calculation module, calculate and output the ground subsidence rate CJ, the landslide early warning index HP, and the debris flow early warning level NL in sequence;
[0009] Step 3: Use the early warning display module to display the recent debris flow warning level NL in the form of a line graph and judge the danger of the current geological area;
[0010] The early warning calculation module includes a unit for reflecting the ground elevation change within a unit time, a unit for assessing landslide risk, and a unit for comprehensively assessing debris flow risk and early warning;
[0011] In the process of calculating the landslide warning index HP and the debris flow warning level NL, the critical values of the parameters need to be updated in real time according to the most recent geological disaster;
[0012] The equipment used in the data collection and monitoring module includes high-precision measurement equipment, weather stations, remote sensing satellites, current meters and radar speed meters;
[0013] The equipment used in the early warning calculation module includes data processing and analysis software;
[0014] The equipment used by the early warning display module includes data visualization equipment.
[0015] Optionally, the calculation formula reflecting the ground elevation change unit per unit time is as follows:
[0016]
[0017] in:
[0018] CJ is the land subsidence rate;
[0019] G1 is the elevation measurement value at the first time point;
[0020] G2 is the elevation measurement at the second time point;
[0021] X1 is the X-axis coordinate of the first time point, and Y1 is the Y-axis coordinate of the first time point;
[0022] X2 is the X-axis coordinate of the second time point, and Y2 is the Y-axis coordinate of the second time point;
[0023] T is a time interval, and T reflects the time difference between the first time point and the second time point.
[0024] Optionally, the calculation formula for assessing the landslide risk unit is as follows:
[0025]
[0026] ΔW=W now -W old ;
[0027] W total =W now -WfCJist ;
[0028] in:
[0029] HP is the landslide warning index;
[0030] CJ lasttime is the critical value of land subsidence rate;
[0031] ΔW is the displacement change;
[0032] W total is the total displacement change;
[0033] JY is the recent rainfall accumulation value, JY lasttime is the critical value of rainfall;
[0034] W now is the current displacement point;
[0035] W old is the previous displacement point, W old Reflects the displacement point of the previous monitoring measurement; W fCJist is the first displacement point, W fCJist Reflects the displacement point where the initial monitoring measurement is performed. Optionally, the calculation formula for the comprehensive assessment of debris flow risk and early warning unit is as follows:
[0036] in:
[0037] NL is the debris flow warning level;
[0038] HP lasttime is the landslide warning critical index;
[0039] JQ is the current rainfall intensity;
[0040] JQ lasttime is the critical value of rainfall intensity;
[0041] L is the debris flow velocity;
[0042] L lasttime is the critical value of debris flow velocity.
[0043] Optionally, the current rainfall intensity JQ is calculated as follows: JQ = JY avg +JYB;
[0044]
[0045]
[0046] JYB is the standard deviation of rainfall;
[0047] JY1 is the first rainfall, JY2 is the second rainfall, JY3 is the third rainfall, and JY n is the nth rainfall;
[0048] n is the total number of rainfalls;
[0049] JY avg The average rainfall amount.
[0050] Optionally, based on the changing trend of the debris flow warning level NL on the linear graph, the specific monitoring and warning analysis is as follows:
[0051] If the debris flow warning level NL shows an upward trend on the linear graph, it means that the debris flow warning level NL is gradually increasing and the geological danger is increasing;
[0052] If the debris flow warning level NL shows a downward trend on the linear graph, it means that the debris flow warning level NL is gradually decreasing and the geological danger is decreasing;
[0053] If the debris flow warning level NL shows a flat trend on the linear graph, it means that the debris flow warning level NL fluctuates within a certain range and the geological hazard is relatively stable.
[0054] Optionally, the critical value of the land subsidence rate CJ lasttime , rainfall critical value JY lasttime , landslide warning critical index HP lasttime , rainfall intensity critical value JQ lasttime , critical value of debris flow velocity L lasttime These are the parameters of the previous geological disaster that were monitored and calculated at that time. Every time a geological disaster occurs, the critical value of the ground subsidence rate CJ lasttime , rainfall critical value JY lasttime , landslide warning critical index HP lasttime , rainfall intensity critical value JQ lasttime , critical value of debris flow velocity L lasttime They will be updated at the next monitoring.
[0055] The present invention also provides a geological exploration safety monitoring system, 9. comprising a data collection and monitoring module, an early warning calculation module, and an early warning display module;
[0056] The data collection and monitoring module is used to collect the geographical coordinates, elevation data, and rainfall data of the ground subsidence monitoring points, and as a supplement to the meteorological station, provide rainfall data in a wider range and measure the flow velocity data of the debris flow channel;
[0057] The early warning calculation module is used for preprocessing data and performing calculation formula calculations;
[0058] The warning display module is used to issue warnings on the data visualization device;
[0059] Optionally, the geographic coordinates include the X-axis coordinate X1 of the first time point, the Y-axis coordinate Y1 of the first time point, the X-axis coordinate X2 of the second time point, the Y-axis coordinate Y2 of the second time point, the current displacement point W now ;
[0060] The elevation data includes the elevation measurement value G1 at the first time point and the elevation measurement value G2 at the second time point, the current displacement point W now ;
[0061] The rainfall data includes recent rainfall cumulative value JY, rainfall critical value JY lasttime , current rainfall intensity JQ, rainfall intensity critical value JQ lasttime ;
[0062] The flow velocity data includes the debris flow velocity L, the debris flow velocity critical value L lasttime .
[0063] Compared with the prior art, the present invention has the following beneficial effects:
[0064] 1. The present invention organically integrates the monitoring parameters of ground subsidence, ground displacement, rainfall and debris flow velocity through a unit reflecting ground elevation change per unit time, a unit for assessing landslide risk and a unit for comprehensively assessing debris flow risk and early warning, thereby forming a comprehensive early warning model. This integration method not only improves data utilization, but also enhances the accuracy of early warning.
[0065] 2. The unit reflecting the ground elevation change per unit time, the unit for assessing landslide risk, and the unit for comprehensively assessing debris flow risk and early warning of the present invention all take into account multiple influencing factors of geological disasters, and introduce the concept of critical value. By updating the critical value in real time, the early warning model is closer to reality, thereby improving the sensitivity and accuracy of the early warning.
[0066] It is worth noting that by comprehensively evaluating the debris flow risk and early warning unit calculation in the form of a line graph, observing the changes in the recent debris flow warning level NL, judging the current geological danger, and making intervention measures, thereby affecting the predicted results of the ground subsidence rate. This circular feedback mechanism not only improves the accuracy of the early warning system, but also enhances its adaptive ability.
[0067] 3. The present invention replaces the critical value with the relevant parameters of the last geological disaster and updates it in real time to ensure that the early warning system can reflect the latest geological conditions. This real-time update mechanism enhances the dynamics and adaptability of the early warning system. BRIEF DESCRIPTION OF THE DRAWINGS
[0068] Figure 1 A method flow chart of the local geological exploration safety monitoring method and system;
[0069] Figure 2 It is a schematic diagram of the rising trend of the recent debris flow warning level NL on the linear graph in the present invention;
[0070] Figure 3 It is a schematic diagram of the downward trend of the recent debris flow warning level NL on the linear graph in the present invention;
[0071] Figure 4 It is a schematic diagram of the gentle trend of the recent debris flow warning level NL on the linear graph in the present invention. DETAILED DESCRIPTION
[0072] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0073] Regarding this geological exploration safety monitoring method and system, it is different from the existing geological disaster monitoring methods and systems. The existing geological disaster monitoring methods and systems lack an effective data integration mechanism, resulting in low early warning accuracy, and it is difficult to accurately reflect the occurrence mechanism of geological disasters. There is a lack of real-time update mechanism and a lack of a circular feedback mechanism. This algorithm unit can monitor the occurrence and development trend of geological disasters in real time, improve the accuracy and reliability of early warning, and provide a scientific basis for the prevention and control of geological disasters.
[0074] For example, see Figures 1 to 4 , this implementation provides a geological exploration safety monitoring method, the specific implementation process is as follows:
[0075] Use the data collection and monitoring module to survey and monitor the current geological area;
[0076] Using the early warning calculation module, the ground subsidence rate CJ, landslide early warning index HP, and debris flow early warning level NL are calculated and output in sequence;
[0077] Using the early warning display module, the recent debris flow warning level NL is displayed in the form of a line graph to judge the danger of the current geological area;
[0078] Among them, the early warning calculation module includes a unit reflecting the ground elevation change per unit time, a unit for assessing landslide risk, and a unit for comprehensively assessing debris flow risk and early warning;
[0079] In the process of calculating the landslide warning index HP and the debris flow warning level NL, the critical values of the parameters need to be updated in real time according to the most recent geological disaster;
[0080] The equipment used in the data collection and monitoring module includes high-precision measurement equipment, weather stations, remote sensing satellites, current meters, and radar speed meters;
[0081] The equipment used in the early warning calculation module includes data processing and analysis software;
[0082] The equipment used in the early warning display module includes data visualization equipment;
[0083] This implementation also provides a geological exploration safety monitoring system, including a data collection and monitoring module, an early warning calculation module, and an early warning display module;
[0084] The data collection and monitoring module is used to collect the geographical coordinates, elevation data, and rainfall data of the ground subsidence monitoring points, and as a supplement to the meteorological station, it provides rainfall data over a wider range and measures the flow velocity data of the debris flow channel;
[0085] The early warning calculation module is used for data preprocessing and calculation formula operation;
[0086] The warning display module is used to issue warnings on data visualization devices;
[0087] The geographic coordinates include the X-axis coordinate X1 of the first time point, the Y-axis coordinate Y1 of the first time point, the X-axis coordinate X2 of the second time point, the Y-axis coordinate Y2 of the second time point, the current displacement point W now ;
[0088] The elevation data includes the elevation measurement value G1 at the first time point and the elevation measurement value G2 at the second time point, the current displacement point W now ;
[0089] Precipitation data includes recent rainfall cumulative value JY, rainfall critical value JY lasttime , current rainfall intensity JQ, rainfall intensity critical value JQ lasttime ;
[0090] Velocity data include debris flow velocity L, debris flow velocity critical value L lasttime .
[0091] In this embodiment, the system constructs a complete geological exploration safety monitoring system through the mutual cooperation of three algorithm units. Combining the three operation results of CJ, HP and NL, CJ is the ground subsidence rate, which is calculated by measuring the elevation value and geographic coordinates at two different time points and combining the time interval, and then calculating the ground subsidence rate CJ. HP is the landslide warning index, which can intuitively reflect the size of the landslide risk, provide a scientific basis for the geological disaster prevention and control departments, and guide the formulation and implementation of disaster prevention and mitigation measures. NL is the debris flow warning level, which can intuitively reflect the size of the debris flow risk, and provide more comprehensive, accurate and reliable warning information for the geological disaster prevention and control departments. By observing the recent NL change trend on the line graph, the fluctuation of the warning level over time can be intuitively seen, and this visualization method can more easily understand the risk level of geological disasters, which in turn affects the feedback to the next calculation of CJ, HP and NL, so that the three algorithms of this system combined with the circular feedback of the line graph can improve the accuracy and timeliness of the warning, optimize the prediction results of CJ, and thus provide more comprehensive and accurate geological disaster risk assessment information.
[0092] See also Figures 1 to 4 , the calculation formula reflecting the ground elevation change unit per unit time is as follows:
[0093]
[0094] in:
[0095] CJ is the land subsidence rate;
[0096] G1 is the elevation measurement value at the first time point;
[0097] G2 is the elevation measurement at the second time point;
[0098] X1 is the X-axis coordinate of the first time point, and Y1 is the Y-axis coordinate of the first time point;
[0099] X2 is the X-axis coordinate of the second time point, and Y2 is the Y-axis coordinate of the second time point;
[0100] T is a time interval, and T reflects the time difference between the first time point and the second time point.
[0101] In this embodiment: First, the calculation part "(G1-G2)×T" in this algorithm unit calculates the product of the change in the ground elevation measurement value "(G1-G2)" between two different time points and the time interval T. This product reflects the total change in ground elevation within a given time interval. It is one of the basic data for predicting the ground subsidence rate CJ, and this product, as the numerator in the formula, together with the sum of the squares of the changes in the geographic coordinates, jointly determines the calculation result of the ground subsidence rate. By dividing the elevation change by the time interval T and taking into account the changes in the geographic coordinates, an indicator reflecting the ground subsidence rate CJ can be obtained. The calculation part calculates the sum of squares of the changes in the geographical coordinates of the ground subsidence monitoring points between two time points. This sum of squares reflects the total change in the geographical location of the monitoring points within a given time interval. It is an important indicator for evaluating the impact of ground subsidence on the geographical location. This sum of squares, as part of the denominator in the formula, together with the product of the elevation change, jointly determines the calculation result of the ground subsidence rate CJ. By considering the changes in geographical coordinates, the impact of ground subsidence can be more comprehensively evaluated.
[0102] This algorithm unit obtains accurate data of ground elevation through high-precision measuring equipment to ensure the accuracy of the basic data for prediction. It also considers the changes in settlement within different time intervals T, and can capture the dynamic process of ground settlement, avoiding prediction errors caused by too long time intervals. It also combines the changes in geographic coordinates to analyze the spatial distribution characteristics of ground settlement, and further improve the accuracy of prediction.
[0103] This algorithm unit adjusts the measurement time interval T and the range of change of geographic coordinates so that the unit reflecting the ground elevation change within unit time can be suitable for monitoring needs of different scales, providing timely and effective data support for geological disaster prevention and control.
[0104] See also Figures 1 to 4 , the calculation formula for assessing landslide risk unit is as follows:
[0105]
[0106] ΔW=W now -W old ;
[0107] W total =W now -W fCJist ;
[0108] in:
[0109] HP is the landslide warning index;
[0110] CJ lasttime is the critical value of land subsidence rate;
[0111] ΔW is the displacement change;
[0112] W total is the total displacement change;
[0113] JY is the recent rainfall accumulation value, JY lasttime is the critical value of rainfall;
[0114] W now is the current displacement point;
[0115] W old is the previous displacement point, W old Reflects the displacement point of the previous monitoring measurement;
[0116] W fCJist is the first displacement point, W fCJist Reflects the displacement point where the initial monitoring measurement is performed.
[0117] In this embodiment, first The calculation part calculates the land subsidence rate CJ and the critical value of land subsidence rate CJ lasttime The ratio of the land subsidence rate CJ and multiply it by 100 to get the percentage. This percentage reflects the degree to which the land subsidence rate CJ approaches / exceeds the critical value. It is one of the important indicators for assessing landslide risk. This percentage, as a part of the formula, together with other calculation parts, jointly determines the calculation result of the landslide warning index HP. By comparing the land subsidence rate CJ with the critical value CJ of the land subsidence rate, the landslide warning index HP can be calculated. lasttime The ratio of can determine the magnitude of landslide risk;
[0118] The calculation part calculates the total displacement change of the ground displacement near the monitoring point W total The ratio of the displacement change ΔW is multiplied by 100 to get the percentage. This percentage reflects the severity of ground displacement and is another important indicator for assessing landslide risk. This percentage, as part of the formula, together with other calculation parts, jointly determines the calculation result of the landslide warning index HP. By comparing the severity of ground displacement, the size of the landslide risk can be further assessed.
[0119] The calculation part calculates the critical rainfall value JY that triggers landslide lasttime The difference is obtained by subtracting 1 from the recent rainfall accumulation value JY. This difference reflects whether the rainfall is close to / exceeds the rainfall threshold value JY. lasttimeThe degree of rainfall is the third important indicator for assessing landslide risk. This difference, as the negative term in the formula, together with other calculation parts, determines the calculation result of the landslide warning index HP. By considering the influence of rainfall, the size of the landslide risk can be more comprehensively assessed.
[0120] As one of the important precursors of landslide, the monitoring of ground subsidence rate CJ is of great significance for assessing landslide risk. This algorithm unit can timely detect the early signs of landslide by monitoring the changes in ground displacement, providing strong support for early warning. Precipitation is one of the important factors affecting the occurrence of landslide. By real-time monitoring of rainfall, the changing trend of landslide risk can be assessed.
[0121] Critical value of ground subsidence rate that triggers landslides lasttime and rainfall threshold JY lasttime The real-time update of these two critical values can ensure that the early warning model always adapts to the current geological environment and climate conditions, thereby improving the accuracy and timeliness of the early warning;
[0122] The calculation results of the landslide warning index HP can be directly used for warning decisions, provide a scientific basis for geological disaster prevention and control departments, and guide the formulation and implementation of disaster prevention and mitigation measures.
[0123] See also Figures 1 to 4 , the calculation formula for comprehensive assessment of debris flow risk and early warning unit is as follows:
[0124]
[0125] in:
[0126] NL is the debris flow warning level;
[0127] HP lasttime is the landslide warning critical index;
[0128] JQ is the current rainfall intensity;
[0129] JQ lasttime is the critical value of rainfall intensity;
[0130] L is the debris flow velocity;
[0131] L lasttime is the critical value of debris flow velocity;
[0132] The calculation formula of the current rainfall intensity JQ is as follows:
[0133] JQ=JY avg +JYB;
[0134]
[0135] JYB is the standard deviation of rainfall;
[0136] JY1 is the first rainfall, JY2 is the second rainfall, JY3 is the third rainfall, and JY n is the nth rainfall;
[0137] n is the total number of rainfalls;
[0138] JY avg The average rainfall amount.
[0139] In this embodiment, the algorithm unit first The calculation part calculates the landslide warning index HP and the landslide warning critical index HP lasttime The ratio is multiplied by 100 to get the percentage, which reflects whether the landslide warning index HP is close to / exceeds the landslide warning critical index HP. lasttime The degree of landslide is one of the important indicators for assessing debris flow risk. This percentage, as a part of the formula, together with other calculation parts, determines the calculation result of the debris flow warning level NL. By comparing the landslide warning index HP with the landslide warning critical index HP lasttime The ratio of can determine the magnitude of debris flow risk;
[0140] Even if the critical rainfall intensity that triggers debris flow is partially calculated, lasttime The ratio of the current rainfall intensity JQ in the debris flow basin reflects whether the rainfall intensity is close to / exceeds the critical value of rainfall intensity JQ. lasttime The degree of rainfall intensity is another important indicator for assessing debris flow risk. This ratio, as a part of the formula, together with other calculation parts, jointly determines the calculation result of the debris flow warning level NL. By considering the influence of rainfall intensity, the size of the debris flow risk can be further assessed.
[0141] The calculation part calculates the debris flow velocity L and the debris flow velocity critical value L lasttime The ratio of and multiply by 100 to get the percentage. This percentage reflects that the debris flow velocity is close to / exceeds the debris flow velocity critical value L lasttime This percentage, as part of the negative term in the formula, together with other calculation parts, determines the calculation result of the debris flow warning level NL. By considering the influence of the debris flow velocity L, the magnitude of the debris flow risk can be more comprehensively evaluated. The introduction of the negative sign is to emphasize that when the flow velocity exceeds the critical value L of the debris flow velocity, the debris flow risk will be greatly reduced. lasttime The risk of debris flow will increase significantly;
[0142] As one of the important precursors of debris flow, the monitoring of landslide warning index HP is of great significance for assessing the risk of debris flow. The rainfall intensity in this algorithm unit is one of the important factors affecting the occurrence of debris flow. By real-time monitoring of rainfall intensity, the changing trend of debris flow risk can be evaluated. By monitoring the flow velocity of debris flow channels, the threat of debris flow can be discovered in time, providing strong support for early warning.
[0143] Landslide warning critical index HP lasttime , rainfall intensity critical value JQ lasttime and the critical value of debris flow velocity L lasttime Real-time updating of critical values can ensure that the early warning model always reflects the latest geological and climatic conditions, and improve the sensitivity and accuracy of the early warning.
[0144] See also Figures 1 to 4 Based on the changing trend of debris flow warning level NL on the linear chart, the specific monitoring and warning analysis is as follows:
[0145] If the debris flow warning level NL shows an upward trend on the linear graph, it means that the debris flow warning level NL is gradually increasing and the geological danger is increasing;
[0146] If the debris flow warning level NL shows a downward trend on the linear graph, it means that the debris flow warning level NL is gradually decreasing and the geological danger is decreasing;
[0147] If the debris flow warning level NL shows a flat trend on the linear graph, it means that the debris flow warning level NL fluctuates within a certain range and the geological hazard is relatively stable.
[0148] In this embodiment, the comprehensive assessment of debris flow risk and the cyclic impact of the warning unit on the unit reflecting the ground elevation change per unit time promotes the application of multi-factor comprehensive analysis in geological disaster warning. By comprehensively considering the ground subsidence rate CJ, the landslide warning index HP, the rainfall intensity factor and their mutual influence, the geological disaster risk can be more comprehensively assessed, providing a scientific basis for formulating scientific and reasonable disaster prevention and mitigation measures.
[0149] By displaying the changing trend of debris flow warning level NL through line graph, we can intuitively see the fluctuation of warning NL level over time. This visualization method can make it easier to understand the risk level of geological disasters. Combining the landslide risk assessment unit and line graph, we can more accurately judge the rising and falling trend of debris flow warning level NL.
[0150] Specifically, when the line graph shows an upward trend, it indicates that the debris flow warning level NL is gradually increasing and the geological danger is increasing. Especially when the line graph rises sharply, it means that a serious debris flow disaster is about to occur and early warning intervention measures should be initiated immediately.
[0151] When the line graph shows a downward trend, it means that the debris flow warning level is gradually decreasing and the geological danger is decreasing, which means that the current rainfall intensity, ground subsidence rate CJ and debris flow velocity L parameters have stabilized and decreased, but continuous monitoring is still required to ensure safety;
[0152] When the line graph shows a flat trend, it means that the debris flow warning level fluctuates within a certain range and the geological hazard is relatively stable. In this case, we still need to remain vigilant and pay close attention to the changes in various parameters to prevent emergencies.
[0153] In the loop feedback mechanism, the unit reflecting the ground elevation change per unit time, the unit assessing the landslide risk, and the relevant parameters in the comprehensive assessment of debris flow risk and early warning unit can be dynamically adjusted according to the changing trend of the line graph and the rise and fall of the debris flow early warning level. This dynamic adjustment can make the early warning system more flexible and adaptable, and better cope with the disaster risks under different geological conditions.
[0154] Combining the results of the line graph and the unit reflecting the ground elevation change per unit time, the unit for assessing landslide risk, and the unit for comprehensively assessing debris flow risk and early warning, it can provide more comprehensive and accurate geological disaster risk assessment information, which can help decision makers formulate more scientific and reasonable early warning intervention measures and emergency plans to reduce the losses caused by geological disasters;
[0155] By displaying the changing trend of debris flow warning level NL in the form of a line graph, the public's awareness and attention to geological disasters can be improved, which helps to enhance the public's awareness of disaster prevention and reduction and their ability to rescue themselves and each other, and form a good atmosphere for the whole society to participate in the prevention and control of geological disasters.
[0156] In summary, the geological disaster early warning system that combines the unit reflecting the ground elevation change per unit time, the unit for assessing landslide risk, the unit for comprehensively assessing debris flow risk and early warning, and the line graph for circular feedback can bring many benefits. It improves the accuracy and timeliness of the early warning, optimizes the prediction results of the ground subsidence rate CJ, provides more comprehensive and accurate geological disaster risk assessment information, and enhances the public's awareness and participation in disaster prevention and mitigation. This circular feedback mechanism is one of the important directions for the development of geological disaster early warning systems.
[0157] For example 2, please refer to Figures 1 to 4 , critical value of land subsidence rate CJ lasttime , rainfall critical value JY lasttime , landslide warning critical index HP lasttime , rainfall intensity critical value JQ lasttime , critical value of debris flow velocity L lasttimeThese are the parameters of the previous geological disaster that were monitored and calculated at that time. Every time a geological disaster occurs, the critical value of the ground subsidence rate CJ lasttime , rainfall critical value JY lasttime , landslide warning critical index HP lasttime , rainfall intensity critical value JQ lasttime , critical value of debris flow velocity L lasttime They will be updated at the next monitoring.
[0158] In this embodiment, the critical value CJ of the ground subsidence rate is updated in real time. lasttime , rainfall critical value JY lasttime , landslide warning critical index HP lasttime , rainfall intensity critical value JQ lasttime , critical value of debris flow velocity L lasttime The introduction of a circular feedback mechanism and a comprehensive assessment of debris flow risk and early warning unit can ensure that the early warning system always makes predictions and warnings based on the latest geological and climatic conditions, which helps to timely detect potential geological disaster risks and provide strong support for disaster prevention and mitigation.
[0159] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A geological exploration safety monitoring method, characterized in that: The specific implementation steps are as follows: Step 1: Use the data collection and monitoring module to survey and monitor the current geological area; Step 2: Using the early warning calculation module, calculate and output the ground subsidence rate CJ, the landslide early warning index HP, and the debris flow early warning level NL in sequence; Step 3: Use the early warning display module to display the recent debris flow warning level NL in the form of a line graph and judge the danger of the current geological area; The early warning calculation module includes a unit for reflecting the ground elevation change within a unit time, a unit for assessing landslide risk, and a unit for comprehensively assessing debris flow risk and early warning; In the process of calculating the landslide warning index HP and the debris flow warning level NL, the critical values of the parameters need to be updated in real time according to the most recent geological disaster.
2. A geological exploration safety monitoring method according to claim 1, characterized in that: The equipment used in the data collection and monitoring module includes high-precision measurement equipment, weather stations, remote sensing satellites, current meters and radar speed meters; The equipment used in the early warning calculation module includes data processing and analysis software; The equipment used by the early warning display module includes data visualization equipment.
3. A geological exploration safety monitoring method according to claim 2, characterized in that: The calculation formula reflecting the ground elevation change unit per unit time is as follows: in: CJ is the land subsidence rate; G1 is the elevation measurement value at the first time point; G2 is the elevation measurement at the second time point; X1 is the X-axis coordinate of the first time point, and Y1 is the Y-axis coordinate of the first time point; X2 is the X-axis coordinate of the second time point, Y2 is the Y-axis coordinate of the second time point; T is the time interval, T reflects the time difference between the first time point and the second time point; The calculation formula for assessing landslide risk unit is as follows: ΔW=W now -IN old ; IN total =In now -IN fCJist ; in: HP is the landslide warning index; CJ lasttime is the critical value of land subsidence rate; ΔW is the displacement change; W total is the total displacement change; JY is the recent rainfall accumulation value, JY lasttime is the critical value of rainfall; W now is the current displacement point; W old is the previous displacement point, W old Reflects the displacement point of the previous monitoring measurement; W fCJist is the first displacement point, W fCJist Reflects the displacement point where the monitoring measurement was initially carried out; The calculation formula for the comprehensive assessment of debris flow risk and early warning unit is as follows: in: NL is the debris flow warning level; HP lasttime is the critical index for landslide warning; JQ is the current rainfall intensity; JQ lasttime is the critical value of rainfall intensity; L is the debris flow velocity; L lasttime is the critical value of debris flow velocity.
4. A geological exploration safety monitoring method according to claim 3, characterized in that: The calculation formula of the current rainfall intensity JQ is as follows: JQ=YOU avg +JYB; JYB is the standard deviation of rainfall; JY1 is the first rainfall, JY2 is the second rainfall, JY3 is the third rainfall, and JY n is the nth rainfall; n is the total number of rainfalls; JY avg The average rainfall amount.
5. A geological exploration safety monitoring method according to claim 4, characterized in that: Based on the changing trend of the debris flow warning level NL on the linear chart, the specific monitoring and warning analysis is as follows: If the debris flow warning level NL shows an upward trend on the linear graph, it means that the debris flow warning level NL is gradually increasing and the geological danger is increasing; If the debris flow warning level NL shows a downward trend on the linear graph, it means that the debris flow warning level NL is gradually decreasing and the geological danger is decreasing; If the debris flow warning level NL shows a flat trend on the linear graph, it means that the debris flow warning level NL fluctuates within a certain range and the geological hazard is relatively stable.
6. A geological exploration safety monitoring method according to claim 5, characterized in that: The critical value of land subsidence rate CJ lasttime , rainfall critical value JY lasttime , landslide warning critical index HP lasttime , rainfall intensity critical value JQ lasttime , critical value of debris flow velocity L lasttime These are the parameters of the previous geological disaster that were monitored and calculated at that time. Every time a geological disaster occurs, the critical value of the ground subsidence rate CJ lasttime , rainfall critical value JY lasttime , landslide warning critical index HP lasttime , rainfall intensity critical value JQ lasttime , critical value of debris flow velocity L lasttime All will be updated at the next monitoring.
7. The monitoring system of a geological exploration safety monitoring method according to claim 1, characterized in that: It includes data collection and monitoring module, early warning calculation module and early warning display module; The data collection and monitoring module is used to collect the geographical coordinates, elevation data, and rainfall data of the ground subsidence monitoring points, and as a supplement to the meteorological station, provide rainfall data in a wider range and measure the flow velocity data of the debris flow channel; The early warning calculation module is used for preprocessing data and performing calculation formula calculations; The warning display module is used to issue warnings on a data visualization device.
8. A geological exploration safety monitoring system according to claim 7, characterized in that: The geographic coordinates include the first time point X-axis coordinate X1, the first time point Y-axis coordinate Y1, the second time point X-axis coordinate X2, the second time point Y-axis coordinate Y2, the current displacement point W now ; The elevation data includes the elevation measurement value G1 at the first time point and the elevation measurement value G2 at the second time point, the current displacement point W now ; The rainfall data includes recent rainfall cumulative value JY, rainfall critical value JY lasttime , current rainfall intensity JQ, rainfall intensity critical value JQ lasttime ; The flow velocity data includes the debris flow velocity L, the debris flow velocity critical value L lasttime .