Geological disaster displacement monitoring device based on geological analysis

Abstract

The application discloses a geological disaster displacement monitoring device based on geological analysis and relates to the technical field of geological displacement monitoring, which comprises a displacement monitoring main device, a driving main body and a shell, and the inside of the displacement monitoring main device is fixedly connected with a control module, a data acquisition module, a data processing module, an early warning module and a storage module. The data acquisition module is used for acquiring geological depth data of n monitoring points in a current monitoring period, surface roughness data of m monitoring areas and local displacement velocity data of p monitoring points. The data processing module determines initial characteristic quantitative values, characteristic change rates and displacement risk assessment values of an initial state of a geological surface, displacement risk assessment values based on continuous monitoring periods and early warning signals transmitted to the early warning module. The application quantifies geological body characteristics, comprehensively and accurately reflects spatial static characteristics of geological bodies and geological dynamic changes, and further realizes accurate monitoring and risk early warning of irregular surfaces or profile geological bodies.

Description

Technical Field

[0001] The present invention relates to the technical field of geological displacement monitoring, and in particular to a geological disaster displacement monitoring device based on geological analysis. Background Art

[0002] Geological disasters are characterized by suddenness and great destructive power, posing a serious threat to people's lives, property, and ecological environment. Geological disaster monitoring is a comprehensive technology that integrates the formation mechanism of geological disasters, monitoring instruments, spatiotemporal technology, and prediction and forecasting technology. Its main task is to monitor the spatiotemporal evolution information and inducing factors of geological disasters, so as to obtain continuous spatial deformation data to the greatest extent possible, which is applied to the stability evaluation, prediction and forecasting of geological disasters, and the evaluation of the effectiveness of prevention and control projects.

[0003] At present, existing technologies mostly focus on the monitoring of a single factor, which is specifically manifested in the failure to comprehensively consider multiple factors such as geological depth and surface roughness, making it difficult to fully reflect the characteristics of the geological body, resulting in inaccurate assessment of geological hazards. Secondly, traditional monitoring methods are mostly static monitoring, which cannot timely capture the changes in geological characteristics over time, making it difficult to effectively warn of the development trend of geological hazards. In addition, existing technologies often ignore other important factors such as changes in geological characteristics when assessing the displacement risk of geological hazards, resulting in incomplete and inaccurate risk assessment. Summary of the Invention

[0004] The purpose of the present invention is to provide a geological disaster displacement monitoring device based on geological analysis, which solves the problems raised in the above background technology.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solution, including a displacement monitoring main device, a driving main body and a housing, wherein a control module, a data acquisition module, a data processing module, an early warning module and a storage module are fixedly connected to the interior of the displacement monitoring main device;

[0006] The control module is respectively connected to the data acquisition module, the data processing module, the early warning module, the storage module, the driving body and the data collector inside the housing;

[0007] The data acquisition module is used to collect geological depth data of n monitoring points, surface roughness data of m monitoring areas and local displacement velocity data of p monitoring points in the current monitoring period, and transmit them to the data processing module;

[0008] The data processing module determines an initial characteristic quantization value of an initial state of a geological surface based on the geological depth data and the surface roughness data;

[0009] The data processing module extracts the historical monitoring data of the previous monitoring cycle from the storage module, performs feature quantification and surface roughness difference change calculation on the initial feature quantization value and the surface roughness data, and determines the feature change rate;

[0010] determining a displacement risk assessment value based on the characteristic change rate, the initial characteristic quantization value, and the local displacement velocity data;

[0011] Based on the displacement risk assessment value of the continuous monitoring period, a line graph is drawn, and an early warning signal is transmitted to the early warning module.

[0012] Optionally, the data collector may include a timing sensor, an ultrasonic sensor, an optical fiber sensor, and a displacement sensor.

[0013] The timing sensor is used to obtain the monitoring interval length between the current monitoring cycle and the previous monitoring cycle;

[0014] The ultrasonic sensor is used to obtain the geological depth data;

[0015] The optical fiber sensor is used to obtain the geological depth data;

[0016] The displacement sensor is used to obtain the local displacement speed data.

[0017] Optionally, based on the geological depth data of n monitoring points, an integrated average value is calculated to determine a geological depth average value that reflects the overall depth of the geological body in the vertical direction of the monitoring area and embodies the macroscopic structural characteristics of the geological body;

[0018] Based on the surface roughness data of the m monitoring areas, an integrated calculation is performed to determine a roughness characteristic reflecting the microscopic characteristics of the geological surface;

[0019] The geological depth average value and the roughness feature are weighted and added together to determine the initial feature quantization value.

[0020] Optionally, the historical monitoring data includes the initial characteristic quantization value of the previous monitoring period and the roughness characteristic of the previous monitoring period.

[0021] Optionally, the initial feature quantization value is subtracted from the initial feature quantization value of the previous monitoring period to determine a feature quantization difference;

[0022] The characteristic quantization difference is divided by the monitoring interval to determine the characteristic quantization change rate reflecting the dynamic change of the geological characteristic in the time dimension;

[0023] The roughness feature is subtracted from the roughness feature of the last monitoring period to determine a surface roughness change amount;

[0024] The surface roughness change amount is divided by the monitoring interval length to determine a surface roughness change rate reflecting dynamic changes of the microstructure of the geological surface;

[0025] The feature quantization change rate and the surface roughness change rate are added after being respectively weighted to determine the feature change rate.

[0026] Optionally, based on the initial feature quantization value of the monitoring period that has ended and is continuous, x initial feature quantization values with a gentle trend in the linear graph drawing result are selected to perform average value calculation to determine an initial feature reference quantization value.

[0027] Optionally, the initial feature quantization value is divided by the initial feature reference quantization value to determine a deviation feature of the current geological feature from the relative relationship of the geological feature in the recent stable state;

[0028] Based on the feature change rate and the deviation feature, a potential risk degree feature is determined.

[0029] Based on the local displacement velocity data of p monitoring points, integrated average value calculation is performed to determine a local displacement velocity average value.

[0030] The potential risk degree feature and the local displacement velocity average value are added after being respectively weighted to determine the displacement risk evaluation value.

[0031] Optionally, a display screen is fixedly installed on the surface of the displacement monitoring main body device, and the display screen is connected with the early warning module.

[0032] A limiting frame is installed below the driving main body, a driving rod is arranged in the limiting frame, the lower end of the driving rod is fixedly connected to the upper end surface of the shell, and a drill bit is fixedly connected to the lower surface of the shell.

[0033] Optionally, the result drawn based on the displacement risk evaluation value of the continuous monitoring period is as follows:

[0034] If the displacement risk evaluation value presents an upward and fluctuating trend, the early warning module transmits and displays an early warning signal to the display screen.

[0035] If the displacement risk evaluation value presents a downward and gentle trend, the displacement monitoring main body device remains monitoring.

[0036] Compared with the prior art, the beneficial effects of the present application are as follows:

[0037] The present invention first calculates the characteristic quantization value obtained by adding the average value of geological depth and the weighted value of roughness characteristics, thereby integrating the two factors of geological depth and surface roughness, and further comprehensively reflecting the static characteristics of the geological body in space. Secondly, considering the change of geological characteristics over time, the characteristic change rate obtained by calculating the weighted sum of the surface roughness change rate and the characteristic quantization change rate can timely capture the dynamic change information of the geological body, thereby facilitating the evaluation of the dynamic trend of geological stability, realizing dynamic monitoring of geology, and enabling the monitoring device to more timely discover the potential risks of geological disasters. Finally, the characteristic change rate and the average value of local displacement velocity are combined, which comprehensively considers the geological characteristic change and local displacement velocity factors, and calculates and determines the displacement risk assessment value of the geological disaster, thereby achieving the purpose of comprehensively and accurately evaluating the displacement risk of geological disasters by integrating multiple factors, thereby improving the accuracy and reliability of risk assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is the main view of the local geological disaster displacement monitoring device;

[0039] Figure 2 This is a schematic diagram of the connection of the entire module inside the displacement monitoring main device of the present invention;

[0040] Figure 3 A schematic diagram of the process of geological monitoring and early warning according to the present invention;

[0041] Figure 4 It is a linear trend graph showing an upward trend in the displacement risk assessment value of the continuous monitoring period in the present invention.

[0042] In the figure: 1-displacement monitoring main device, 2-display screen, 3-driving main body, 4-limiting frame, 5-driving rod, 6-housing, 7-drill head. DETAILED DESCRIPTION

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0044] Regarding this geological disaster displacement monitoring device based on geological analysis, it is different from the existing geological disaster displacement monitoring devices;

[0045] The existing geological disaster displacement monitoring devices have a single monitoring factor, lack dynamic monitoring and incomplete risk assessment. However, this algorithm unit comprehensively reflects geological characteristics and captures geological dynamic changes to achieve a comprehensive risk assessment.

[0046] For example 1, please refer to Figures 1 to 4 This embodiment provides a geological disaster displacement monitoring device based on geological analysis, including a displacement monitoring main device 1, a driving main body 3 and a housing 6. The internal part of the displacement monitoring main device 1 is fixedly connected with a control module, a data acquisition module, a data processing module, an early warning module and a storage module;

[0047] The control module is respectively connected to the data acquisition module, the data processing module, the warning module, the storage module, the driving body 3 and the data collector inside the housing 6;

[0048] The data acquisition module is used to collect geological depth data of n monitoring points, surface roughness data of m monitoring areas, and local displacement velocity data of p monitoring points in the current monitoring period, and transmit them to the data processing module;

[0049] The data processing module determines the initial characteristic quantitative value of the initial state of the geological surface based on the geological depth data and the surface roughness data;

[0050] The data processing module extracts the historical monitoring data of the previous monitoring cycle from the storage module, and performs feature quantification and surface roughness difference change calculation on the initial feature quantification value and surface roughness data to determine the feature change rate;

[0051] Determine the displacement risk assessment value based on the characteristic change rate, the initial characteristic quantization value and the local displacement velocity data;

[0052] Based on the displacement risk assessment value of the continuous monitoring period, a line graph is drawn and an early warning signal is transmitted to the early warning module.

[0053] The equipment used by the data collector to collect data includes timing sensors, ultrasonic sensors, optical fiber sensors and displacement sensors;

[0054] The timing sensor is used to obtain the monitoring interval length between the current monitoring cycle and the previous monitoring cycle;

[0055] Ultrasonic sensors are used to obtain geological depth data;

[0056] Fiber optic sensors are used to obtain geological depth data;

[0057] The displacement sensor is used to obtain local displacement velocity data.

[0058] In this embodiment, when the displacement monitoring main device 1 needs to monitor the displacement of geological disasters, the control module drives the driving body 3 to penetrate into the geological interior, and at the same time drives the shell 6 to penetrate into the geological interior. The timing sensor, ultrasonic sensor, optical fiber sensor and displacement sensor in the shell 6 are used to collect data, and the collected data are centrally transmitted to the data collector, which transmits it back to the data collection module and data processing module inside the displacement monitoring main device 1.

[0059] The data processing module quantifies geological body characteristics based on geological depth data and surface roughness data, and determines the initial characteristic quantification value. Based on the results of the initial characteristic quantification value, the characteristic quantification and the difference in surface roughness are combined to determine the characteristic change rate that reflects the geological dynamic changes. Then, multiple data including local displacement velocity are further integrated to determine the displacement risk assessment value.

[0060] Finally, a dynamic line graph drawn based on the displacement risk assessment values ​​of the continuous monitoring period is used to achieve accurate monitoring and risk warning of irregular surfaces or contoured geological bodies.

[0061] See also Figure 2 and Figure 3 Based on the geological depth data of n monitoring points, the integrated average value is calculated to determine the average geological depth value that reflects the overall depth of the geological body in the vertical direction of the monitoring area and reflects the macroscopic structural characteristics of the geological body;

[0062] Based on the surface roughness data of m monitoring areas, an integrated calculation is performed to determine the roughness characteristics that reflect the microscopic characteristics of the geological surface;

[0063] The average geological depth and roughness characteristics are weighted and added together to determine the initial characteristic quantization value.

[0064] In this embodiment, the calculation formula of the initial feature quantization value is as follows:

[0065] ;

[0066] in:

[0067] BT is the initial feature quantization value;

[0068] n is the total number of measurement depth monitoring points, S i is the geological depth of the i-th measurement point in the geological depth data;

[0069] m is the number of local areas where roughness is measured, C j is the surface roughness value of the jth local area in the surface roughness data;

[0070] a and b are weight coefficients;

[0071] Different geological depths represent different geological structures and stability conditions. The result is the average geological depth, which is obtained by measuring the geological depth S of the i-th measuring point of n monitoring points. i The weighted summation is performed, comprehensively considering the influence of geological depth at different monitoring points. a is used as the weight coefficient to adjust the influence of geological depth on the overall characteristic quantitative value according to actual conditions, thereby helping to fully reflect the macroscopic structural characteristics of the geological body in the vertical direction.

[0072] The change of surface roughness is related to the weathering degree and crack development of the geological body. The result is the roughness feature, which is obtained by calculating the surface roughness value C of the jth local area of ​​m monitoring areas. j A weighted summation is performed, taking into account the influence of geological surface microscopic characteristics on geological stability;

[0073] Therefore, this embodiment calculates the initial characteristic quantization value BT by weighted integration of the two important factors of geological depth and surface roughness, which comprehensively reflects the static characteristics of the geological body in space. This enables the monitoring device to understand the condition of the geological body from multiple dimensions, avoiding the limitations of single-factor monitoring, and providing accurate initial data for subsequent dynamic analysis and risk assessment.

[0074] In addition, it should be noted that a is the depth weight coefficient and b is the roughness weight coefficient. If in the current geological environment, the change in geological depth has a more significant impact on the displacement of geological disasters, then the value of a is larger than that of b. Conversely, if the change in surface roughness is more closely related to the displacement of geological disasters, then b should be larger than a, and the values ​​of a and b should both be 0.3-0.7.

[0075] See also Figure 2 and Figure 3 ,The historical monitoring data includes the initial characteristic quantization value of the previous monitoring period and the ,roughness characteristics of the previous monitoring period;

[0076] The initial feature quantization value is subtracted from the initial feature quantization value of the previous monitoring period to determine the feature quantization difference;

[0077] The characteristic quantitative difference is divided by the monitoring interval to determine the characteristic quantitative change rate that reflects the dynamic changes of geological characteristics in the time dimension;

[0078] The surface roughness change is determined by subtracting the roughness characteristic of the previous monitoring period from the roughness characteristic;

[0079] The surface roughness change is divided by the monitoring interval to determine the surface roughness change rate that reflects the dynamic changes in the geological surface microstructure;

[0080] The characteristic quantization change rate and the surface roughness change rate are weighted and added together to determine the characteristic change rate.

[0081] In this embodiment, the characteristic change rate is calculated as follows:

[0082] ;

[0083] in:

[0084] BL is the characteristic change rate;

[0085] BT prev is the initial characteristic quantization value of the previous monitoring period, T is the monitoring interval length, and △C is the surface roughness change;

[0086] c and d are weight coefficients;

[0087] The result is the quantitative change rate of the characteristics, and this calculation can capture the dynamic changes of the overall characteristics of the geological body over time, thereby reflecting the macro trend of geological stability;

[0088] The result is the surface roughness change rate, which helps to detect potential changes in geological bodies in a timely manner;

[0089] Therefore, by comprehensively considering the geological characteristic quantitative value and the time change rate of the surface roughness, the calculated characteristic change rate BL can timely capture the dynamic change information of the geological body, realizing dynamic monitoring of the geology. Moreover, by monitoring the dynamic changes of the geological body, the displacement monitoring main device 1 can more keenly perceive the potential risk of geological disasters and discover the changing trend of the geological body stability in advance, providing a key basis for risk assessment and early warning.

[0090] The calculation formula for surface roughness change △C is as follows:

[0091] ,and ;

[0092] C j，i+1 is the roughness characteristic of the current monitoring period, C j，i is the roughness characteristic of the previous monitoring period;

[0093] In addition, it should be noted that when calculating the surface roughness change △C, the number of local areas m needs to remain consistent;

[0094] c is the weight coefficient of the characteristic quantitative value change rate, and d is the weight coefficient of the surface roughness change rate. If the characteristic quantitative change rate of the comprehensive geological depth and surface roughness has a greater impact on the displacement of geological disasters, c should be larger than d. If the surface roughness change rate is more important in predicting the displacement of geological disasters, d should be larger than c, and the values ​​of c and d are both 0.3-0.7.

[0095] See also Figure 2 and Figure 3 , based on the initial characteristic quantization values ​​of the monitoring period that has ended and is a continuous monitoring period, select x initial characteristic quantization values ​​whose line graph drawing results show a gentle trend, calculate the average value, and determine the initial characteristic reference quantization value;

[0096] The initial characteristic quantization value is divided by the initial characteristic reference quantization value to determine the deviation characteristics of the relative relationship between the current geological characteristics and the geological characteristics in the recent stable state;

[0097] Determine the potential risk level characteristics based on the characteristic change rate and deviation characteristics;

[0098] Based on the local displacement velocity data of p monitoring points, an integrated average value is calculated to determine the local displacement velocity average value;

[0099] The potential risk level characteristics and the average local displacement velocity are weighted and added together to determine the displacement risk assessment value.

[0100] In this embodiment, the calculation formula of the displacement risk assessment value is as follows:

[0101] ;

[0102] in:

[0103] F is the displacement risk assessment value;

[0104] BT ref is the reference quantization value of the initial feature;

[0105] p is the number of sensors measuring displacement velocity;

[0106] V l is the lth local displacement velocity in the local displacement velocity data;

[0107] e and h are both weight coefficients.

[0108] It is worth noting that the local displacement speed is one of the important indicators of geological disasters. Rapid local displacement may indicate that the geological body is about to become unstable or destroyed. The calculation can be combined with the changes in geological characteristics to warn of the potential risk of geological disaster displacement.

[0109] e is the weight coefficient of the characteristic change rate to the displacement risk, and h is the weight coefficient of the local displacement velocity to the displacement risk. When the correlation between the characteristic change rate BL of the geological depth and the surface roughness change rate and the displacement risk of geological disasters is high, e takes a larger value than h. If the local displacement velocity is the key factor affecting the displacement risk of geological disasters, h should take a larger value than e, and the values ​​of e and h are both 0.3-0.7.

[0110] For example 2, please refer to Figures 1 to 4 , a display screen 2 is fixedly mounted on the surface of the displacement monitoring main device 1, and the display screen 2 is connected to the early warning module;

[0111] A limit frame 4 is installed below the driving body 3, and a driving rod 5 is passed through the limit frame 4. The lower end of the driving rod 5 is fixedly connected to the upper end surface of the shell 6, and a drill head 7 is fixedly connected to the lower surface of the shell 6.

[0112] In this embodiment, when the driving body 3 drives the shell 6 to penetrate into the geological interior through the driving rod 5, as the drill head 7 of the shell 6 drills, the shell 6 slowly enters the geological interior, and in the process of deepening, the driving rod 5 is limited and slidable inside the limiting frame 4 to ensure the stability of the driving body 3 driving the shell 6.

[0113] In addition, the results of displacement risk assessment based on continuous monitoring periods are plotted as follows:

[0114] If the displacement risk assessment value shows an upward and fluctuating trend, the warning module transmits and displays a warning signal to the display screen 2;

[0115] If the displacement risk assessment value shows a downward and flat trend, the displacement monitoring main device 1 will continue monitoring.

[0116] There are two results of the dynamic line graph drawn based on the displacement risk assessment value of the continuous monitoring period, especially when the displacement risk assessment value shows an upward and fluctuating trend, that is, Figure 4 When an upward trend is presented, the early warning module transmits and displays the early warning signal to the display screen 2, which is convenient for timely and dynamic reminder of the displacement signal of geological disasters.

[0117] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A geological disaster displacement monitoring device based on geological analysis, characterized in that: It comprises a displacement monitoring main body device (1), a driving main body (3) and a housing (6); a control module, a data acquisition module, a data processing module, an early warning module and a storage module are fixedly connected inside the displacement monitoring main body device (1); The control module is respectively connected to the data acquisition module, the data processing module, the warning module, the storage module, the driving body (3) and the data acquisition device inside the housing (6); The data acquisition module is used to collect geological depth data of n monitoring points, surface roughness data of m monitoring areas and local displacement velocity data of p monitoring points in the current monitoring period, and transmit them to the data processing module; The data processing module determines an initial characteristic quantization value of an initial state of a geological surface based on the geological depth data and the surface roughness data; The data processing module extracts the historical monitoring data of the previous monitoring cycle from the storage module, performs feature quantification and surface roughness difference change calculation on the initial feature quantization value and the surface roughness data, and determines the feature change rate; determining a displacement risk assessment value based on the characteristic change rate, the initial characteristic quantization value, and the local displacement velocity data; Based on the displacement risk assessment value of the continuous monitoring period, a line graph is drawn, and an early warning signal is transmitted to the early warning module.

2. A geological disaster displacement monitoring device based on geological analysis according to claim 1, characterized in that: The equipment used for data acquisition by the data collector includes timing sensors, ultrasonic sensors, optical fiber sensors and displacement sensors; The timing sensor is used to obtain the monitoring interval length between the current monitoring cycle and the previous monitoring cycle; The ultrasonic sensor is used to obtain the geological depth data; The optical fiber sensor is used to obtain the geological depth data; The displacement sensor is used to obtain the local displacement speed data.

3. The geological disaster displacement monitoring device based on geological analysis according to claim 2, characterized in that: Based on the geological depth data of n monitoring points, performing an integrated average calculation to determine an average geological depth; Performing integrated calculation based on the surface roughness data of the m monitoring areas to determine the roughness characteristics; The geological depth average value and the roughness feature are weighted and added together to determine the initial feature quantization value.

4. The geological disaster displacement monitoring device based on geological analysis according to claim 3, characterized in that: The historical monitoring data includes the initial characteristic quantization value of the previous monitoring period and the roughness characteristic of the previous monitoring period.

5. The geological disaster displacement monitoring device based on geological analysis according to claim 4, characterized in that: The initial feature quantization value is subtracted from the initial feature quantization value of the previous monitoring period to determine a feature quantization difference; Dividing the characteristic quantization difference by the monitoring interval duration to determine the characteristic quantization change rate; Subtracting the roughness characteristic of the previous monitoring period from the roughness characteristic to determine a surface roughness change; The surface roughness change is divided by the monitoring interval to determine the surface roughness change rate; The characteristic quantization change rate and the surface roughness change rate are weighted and added together to determine the characteristic change rate.

6. The geological disaster displacement monitoring device based on geological analysis according to claim 5, characterized in that: Based on the initial characteristic quantization values ​​of the continuous monitoring cycle that have ended monitoring, x initial characteristic quantization values ​​whose line graph drawing results show a gentle trend are selected, and the average value is calculated to determine the initial characteristic reference quantization value.

7. The geological disaster displacement monitoring device based on geological analysis according to claim 6, characterized in that: Dividing the initial feature quantization value by the initial feature reference quantization value to determine a deviation feature; Determining a potential risk level characteristic based on the characteristic change rate and the deviation characteristic; Based on the local displacement velocity data of the p monitoring points, performing an integrated average value calculation to determine the local displacement velocity average value; The potential risk level characteristics and the local displacement velocity average value are weighted and added together to determine the displacement risk assessment value.

8. The geological disaster displacement monitoring device based on geological analysis according to claim 1, characterized in that: A display screen (2) is fixedly mounted on the surface of the displacement monitoring main device (1), and the display screen (2) is connected to the early warning module; A limiting frame (4) is installed below the driving body (3), a driving rod (5) is inserted into the limiting frame (4), the lower end of the driving rod (5) is fixedly connected to the upper end surface of the shell (6), and a drill head (7) is fixedly connected to the lower surface of the shell (6).

9. The geological disaster displacement monitoring device based on geological analysis according to claim 8, characterized in that: The results of plotting the displacement risk assessment values ​​based on the continuous monitoring period are as follows: If the displacement risk assessment value shows an upward and fluctuating trend, the warning module transmits and displays a warning signal to the display screen (2); If the displacement risk assessment value shows a downward and flat trend, the displacement monitoring main device (1) will continue monitoring.

Images