Geological disaster monitoring and early warning system based on big data

Abstract

The invention relates to the technical field of geological disaster monitoring, in particular to a geological disaster monitoring and early warning system based on big data, which comprises a data detection module, a data statistics module, a data screening module, a data storage module, a data identification module, a data calibration module and a calibration analysis module, monitoring data is efficiently stored, managed and analyzed, in the data processing process, the abnormal data screening standard of the data screening module is dynamically adjusted according to the specific condition of a monitoring area, and the early warning accuracy is improved; and the vibration frequency is analyzed to calibrate each monitoring area, and the monitoring parameters of the monitoring areas are adjusted according to the calibration condition, so that the accuracy of disaster early warning is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of geological disaster monitoring, and in particular to a geological disaster monitoring and early warning system based on big data. BACKGROUND

[0002] Geological disasters seriously threaten the safety of human life and property and the sustainable development of society and economy. Common geological disasters such as landslides, mudslides, earthquakes, etc. often have suddenness and great destructive power. In order to effectively prevent and respond to geological disasters, geological disaster monitoring and early warning systems have emerged.

[0003] Traditional geological disaster monitoring methods have many limitations. On the one hand, the monitoring means is relatively single, mostly relying on data from only a few monitoring points, making it difficult to accurately reflect the geological activity situation in a large area. For example, relying on only a few displacement sensors or inclinometers cannot capture the complex and diverse geological changes in the region. On the other hand, the processing and analysis capabilities of monitoring data are limited. In the face of a large amount of monitoring data, traditional methods are difficult to quickly and accurately filter out valuable information, and cannot timely discover potential geological disaster risks.

[0004] Chinese patent publication No. CN113392500A discloses a geological disaster monitoring and early warning system, which includes an Internet of Things data acquisition module, an unmanned aerial vehicle data acquisition module, a big data management module, and a monitoring and early warning module. The Internet of Things data acquisition module is used to acquire first geological monitoring data collected from the monitoring area, the unmanned aerial vehicle data acquisition module is used to acquire second geological monitoring data collected from the monitoring area, the big data management module is used to acquire the first geological monitoring data of the Internet of Things data acquisition module, and is also used to acquire the second geological monitoring data of the unmanned aerial vehicle data acquisition module, and the monitoring and early warning module is used to determine whether the monitoring area reaches a preset warning level according to the first geological monitoring data and the second geological monitoring data, and to generate a warning prompt for the monitoring area that reaches the warning level. It can be seen that the above technical solution has the following problems: it does not consider adjusting the monitoring parameters of the monitoring area according to the specific circumstances of the actual monitoring area, affecting the accuracy of disaster warning. SUMMARY

[0005] Therefore, the present application provides a geological disaster monitoring and early warning system based on big data to overcome the problem in the prior art that the monitoring parameters of the monitoring area are not adjusted according to the specific circumstances of the actual monitoring area, affecting the accuracy of disaster warning.

[0006] To achieve the above purpose, the present application provides a geological disaster monitoring and early warning system based on big data, comprising: a data detection module comprising a plurality of monitoring units for monitoring the vibration frequency and expected precipitation of each monitoring point in each region, respectively; A data statistics module, connected to the data detection module, for recording the monitoring data obtained by each monitoring unit and the time corresponding to the acquisition of each monitoring data; A data screening module, connected to the data statistics module, for screening out interference data; a data storage module connected to the data screening module and used to store the screened monitoring data; A data recognition module connected to the data storage module is used to determine the vibration difference based on the vibration conditions of each point in the single area within a preset recognition time when vibration is recognized at a single monitoring point; A data calibration module, connected to the data identification module, for calibrating a single area based on the vibration difference or issuing disaster warning information for a single area; A calibration and analysis module, which is connected to the data detection module, the data screening module and the data calibration module respectively, is used to determine whether the monitoring of each area is qualified based on the statistical number of each mobile individual area, including: Determine that the monitoring of each area is qualified and continue to monitor the individual area using the current parameters; Or, based on the marked growth parameter, it is determined to adjust the monitoring parameters for each mobile individual area or issue disaster warning information for each mobile individual area. The monitoring parameters include adjusting the preset effective frequency for filtering out interference data of the vibration frequency or adjusting the number of monitoring points in the area.

[0007] Furthermore, the data recognition module is used to determine the vibration difference, including: Used to mark the single monitoring point where vibration is initially identified as the starting point; for generating a motion trajectory based on the vibration frequencies of each point where vibration occurs within a preset recognition time and the corresponding vibration time points; For a single motion trajectory, the difference between the maximum frequency and the minimum frequency in the vibration frequency of each point is obtained to obtain the vibration difference.

[0008] Furthermore, the data calibration module is used to calibrate a single area based on the vibration difference or issue disaster warning information for a single area, including: If the vibration difference is less than or equal to a first preset vibration difference, marking the single area as a moving individual area; If the vibration difference is less than or equal to the second preset vibration difference and greater than the first preset vibration difference, the single area is calibrated or disaster warning information for the single area is issued based on the shortest distance of each motion trajectory within the preset time window of the single area; If the vibration difference is greater than the second preset vibration difference, a disaster warning information for the single area is sent out.

[0009] Further, the data calibration module is used to calibrate the single area or send out the disaster warning information for the single area based on the shortest distance of each motion trajectory in the single area within the preset time window, comprising: acquiring each motion trajectory within the preset time window, and taking the minimum value in the shortest distance of the acquired several motion trajectories and the current motion trajectory as a reference distance; wherein the single shortest distance is the distance between the monitoring point corresponding to the maximum frequency in the current motion trajectory and the single motion trajectory; If the reference distance is less than or equal to the preset reference distance, the single area is marked as a mobile individual area; If the reference distance is greater than the preset reference distance, the disaster warning information for the single area is sent out.

[0010] Further, the calibration analysis module is used to determine whether the monitoring for each area is qualified based on the number of areas of each mobile individual area, comprising: If the number of areas is less than or equal to the first preset number of areas, it is determined that the monitoring for each area is qualified, and the current parameters are continuously used to monitor the single area; If the number of areas is less than or equal to the second preset number of areas and greater than the first preset number of areas, it is determined whether the monitoring for each mobile individual area is qualified based on the average vibration propagation time length; If the number of areas is greater than the second preset number of areas, it is determined that the monitoring for each area is abnormal, and the monitoring parameters for each mobile individual area are adjusted or the disaster warning information for each mobile individual area is sent out based on the marked growth parameter.

[0011] Further, the calibration analysis module is used to determine whether the monitoring for the single mobile individual area is qualified based on the average vibration propagation time length, comprising: acquiring the vibration interval time length of each point of the corresponding motion trajectory corresponding to the single mobile individual area, and taking the average value of each vibration interval time length as the average vibration propagation time length; If the average vibration propagation time length is less than or equal to the preset propagation time length, it is determined that the monitoring for the single mobile individual area is qualified, and the current parameters are continuously used to monitor the single area; If the average vibration propagation time length is greater than the preset propagation time length, the number of monitoring points in the single mobile individual area is adjusted to a corresponding value based on the number of areas.

[0012] Further, the calibration analysis module is used to adjust the number of monitoring points in the single mobile individual area to a corresponding value based on the number of areas, wherein: The increase range of the number of monitoring points in the single mobile individual area is proportional to the number of areas.

[0013] Further, the calibration analysis module is used to determine the adjustment of the monitoring parameters for each mobile individual area or issue disaster warning information for each mobile individual area based on the label growth parameter, comprising: Based on the number of each area in the obtained historical data, an area number time domain curve is drawn, and a derivative of the curve at a current time node is determined as a growth parameter; If the growth parameter is less than or equal to a first preset growth parameter, the preset effective frequency of each mobile individual area for screening out interference data of the vibration frequency is adjusted to a corresponding value based on the growth parameter; If the growth parameter is less than or equal to a second preset growth parameter and greater than the first preset growth parameter, the monitoring parameters for each mobile individual area are adjusted based on the expected precipitation; If the growth parameter is greater than the second preset growth parameter, disaster warning information for each mobile individual area is issued.

[0014] Further, the calibration analysis module is used to adjust the monitoring parameters for each mobile individual area based on the expected precipitation, comprising: If the expected precipitation is less than or equal to a preset precipitation, the preset effective frequency of each mobile individual area for screening out interference data of the vibration frequency is adjusted to a corresponding value based on the growth parameter; If the expected precipitation is greater than the preset precipitation, the first preset vibration difference amount and the second preset vibration difference amount corresponding to each mobile individual area are adjusted to corresponding values based on the expected precipitation.

[0015] Further, the calibration analysis module is used to adjust the preset effective frequency of each mobile individual area for screening out interference data of the vibration frequency to a corresponding value based on the growth parameter, wherein, The increase range of the preset effective frequency is inversely proportional to the growth parameter; The calibration analysis module is used to adjust the first preset vibration difference amount and the second preset vibration difference amount corresponding to each mobile individual area to corresponding values based on the expected precipitation, wherein: The decrease range of the first preset vibration difference amount and the second preset vibration difference amount is inversely proportional to the expected precipitation.

[0016] Compared with the prior art, the present application has the beneficial effects that each monitoring data is efficiently stored, managed and analyzed, the abnormal data screening standard of the data screening module is dynamically adjusted according to the specific situation of the monitoring area in the data processing process, the accuracy of the early warning is improved, the vibration frequency is analyzed to calibrate each monitoring area, the monitoring parameters of the monitoring area are adjusted according to the calibration situation, and the accuracy of the disaster early warning is improved.

[0017] Further, the motion trajectory is generated, the motion trajectory characterizes the activity trajectory of the individual, the low vibration frequency is monitored to identify whether the vibration is caused by the individual activity, and the individual activity in the single region is recorded; the vibration difference quantity is calculated based on the single motion trajectory, the vibration difference quantity characterizes the difference of each vibration in the single motion trajectory, when the vibration difference quantity is less than or equal to the first preset vibration difference quantity, each vibration is smooth, the vibration of the motion trajectory is caused by small and local individual activity, such as small animal activity and local human activity, which has less impact on the overall geological stability, and the single region is marked to record the individual activity in the single region; when the vibration difference quantity is less than or equal to the second preset vibration difference quantity and greater than the first preset vibration difference quantity, whether the vibration frequency detected by the single point is superimposed due to the existence of multiple individuals moving at the same time is determined based on the shortest distance of each motion trajectory in the single region preset time window, so that the vibration abnormal difference quantity is large, the reference distance characterizes the coincidence of the motion trajectories existing in the single region at the same time in the vicinity of the time, when the reference distance is greater than the preset reference distance, the motion trajectory difference in the region under this condition is large, due to the existence of geological activity anomaly, the vibration frequency with large difference of multiple points appears, the disaster warning information for the single region is sent, the monitoring data is analyzed in depth through marking the starting point, generating the motion trajectory, calculating the vibration difference quantity, the potential geological disaster signs are accurately identified, the geological activity abnormal situation is more comprehensively identified, and the accuracy and sensitivity of the disaster warning are further improved.

[0018] Further, whether the monitoring for each region is qualified is determined based on the region quantity of each mobile individual region, the region quantity characterizes the activity of the individual in each region, when the region quantity is less than or equal to the second preset region quantity and greater than the first preset region quantity, there are more individual activities in the region under this condition, the average vibration propagation time is detected to determine whether the monitoring unit arranged in the current mobile individual region can meet the monitoring intensity under the condition that there are more individual activities, the number of monitoring points is adjusted to dynamically adjust the monitoring parameters under the condition that the average vibration propagation time is greater than the preset propagation time, which can better adapt to the complex and changeable geological environment, ensures that the best monitoring performance is always maintained, provides stronger support for the prevention and response of geological disasters, and further improves the accuracy of disaster warning.

[0019] Further, when the number of regions is greater than the second preset number of regions, there are too many mobile individual regions, at this time, the growth parameter is obtained, the growth parameter represents the growth speed of the number of mobile individual regions, when the growth parameter is greater than the second preset growth parameter, in this case, the number of mobile individual regions suddenly increases in a short time, due to the weathering and crack expansion of the rock mass, the stress distribution inside the rock mass changes, some small rocks will fall off first, producing low-frequency vibration, as the collapse approaches, the number of such low-frequency vibrations will gradually increase, in this case, disaster warning information is sent for each mobile individual region. When it is less than or equal to the first preset growth parameter, at this time, the vibration growth of each region is stable, the preset effective frequency of each mobile individual region for screening interference data of vibration frequency is increased to the corresponding value, so as to reduce the influence of interference data, improve the accuracy of monitoring, reduce the data amount of data to be processed, and further improve the data processing efficiency. When the growth parameter is less than or equal to the second preset growth parameter and greater than the first preset growth parameter, the monitoring parameters for each mobile individual region are adjusted based on the expected precipitation, at this time, the growth parameter indicates that the number of regions grows rapidly, and the precipitation will have an impact on geological activities, and the precipitation factor needs to be considered to adjust the monitoring parameters, when the expected precipitation is greater than the preset precipitation, the first preset vibration difference amount and the second preset vibration difference amount corresponding to each mobile individual region are adjusted based on the expected precipitation, the precipitation will make the physical properties of the geological body more likely to change, the monitoring standard for the vibration difference amount is improved, and the abnormal situation is found in time; more comprehensive and accurate evaluation of the geological disaster monitoring situation, and taking corresponding measures according to different situations, improve the reliability and effectiveness of the geological disaster monitoring and early warning system. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 A module block diagram of the geological disaster monitoring and early warning system based on big data of the embodiment of the present application; Figure 2 A logic decision diagram of the data calibration module of the embodiment of the present application for calibrating a single region based on a vibration difference amount or sending disaster warning information for a single region; Figure 3 A logic decision diagram of the data calibration module of the embodiment of the present application for calibrating a single region based on the shortest distance or sending disaster warning information for a single region; Figure 4 A logic decision diagram of the calibration analysis module of the embodiment of the present application for determining whether the monitoring of each region is qualified based on the number of regions. DETAILED DESCRIPTION

[0021] In order to make the purpose and advantages of the present application clearer and more apparent, the present application will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present application, and do not limit the present application.

[0022] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. Those skilled in the art will appreciate that the embodiments are only used to explain the technical principles of the present application, and are not intended to limit the protection scope of the present application.

[0023] It should be noted that, in the description of the present application, the terms indicating the direction or position relationship of "upper", "lower", "left", "right", "inner", "outer" and the like are based on the direction or position relationship shown in the drawings, which is only for the convenience of description, and does not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0024] In addition, it should also be noted that, in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or the internal communication of two elements. Those skilled in the art can understand the specific meaning of the above terms in the present application according to the specific circumstances.

[0025] Please refer to Figure 1 , Figure 2 , Figure 3 and Figure 4 , which are respectively a module block diagram of a geological disaster monitoring and early warning system based on big data according to an embodiment of the present application, a logic decision diagram of a data calibration module based on vibration difference for calibrating a single region or issuing disaster warning information for a single region, a logic decision diagram of a data calibration module based on the shortest distance for calibrating a single region or issuing disaster warning information for a single region, and a logic decision diagram of a calibration analysis module based on the number of regions for determining whether the monitoring for each region is qualified; the geological disaster monitoring and early warning system based on big data according to an embodiment of the present application comprises: a data detection module comprising a plurality of monitoring units for monitoring the vibration frequency and the expected precipitation of each monitoring point in each region, respectively; a data statistics module connected with the data detection module, for recording the monitoring data obtained by each monitoring unit and the time corresponding to each monitoring data; a data screening module connected with the data statistics module, for screening out interference data; a data storage module connected with the data screening module, for storing the screened monitoring data; a data identification module connected with the data storage module, configured to determine a vibration difference amount based on vibration conditions of each point in a single region within a preset identification time when a single monitoring point with vibration is identified; a data calibration module connected with the data identification module, configured to calibrate a single region or issue a disaster warning information for the single region based on the vibration difference amount; a calibration analysis module connected with the data detection module, the data screening module and the data calibration module respectively, configured to determine whether the monitoring for each region is qualified based on the number of each mobile individual region, including, determining that the monitoring for each region is qualified, and continuously monitoring the single region using the current parameters; or, determining to adjust the monitoring parameters for each calibrated mobile individual region or issuing a disaster warning information for each mobile individual region based on the label growth parameter, the monitoring parameters including adjusting the preset effective frequency for screening out interference data of vibration frequency or adjusting the number of monitoring points in the region.

[0026] Specifically, each monitoring data is efficiently stored, managed and analyzed, and in the data processing process, the abnormal data screening standard of the data screening module is dynamically adjusted according to the specific conditions of the monitoring region, and the accuracy of the early warning is improved; the vibration frequency is analyzed to calibrate each monitoring region, and the monitoring parameters of the monitoring region are adjusted according to the calibration condition, and the accuracy of the disaster warning is improved.

[0027] Specifically, the specific structure of the monitoring unit is not limited, which can include a displacement sensor for obtaining displacement parameters of each monitoring point in the monitoring region, an inclinometer for obtaining inclination angle parameters of the monitoring point, a vibration sensor for obtaining vibration frequency and acceleration, and a groundwater level sensor for obtaining groundwater level parameters, which will not be repeated.

[0028] Specifically, the specific structure of the data screening module is not limited, which can be any logical component, and it can be understood that it can achieve the screening of displacement, vibration frequency, inclination angle, groundwater level data that deviates obviously from the normal range, including: screening out vibration frequency lower than the preset effective frequency. The preset effective frequency can be set according to the geology of a single region, and preferably, the lower limit of the preset effective vibration frequency is set to 1 Hz, and vibration signals lower than this frequency are caused by environmental noise, which are screened out to improve the effectiveness and accuracy of the data.

[0029] Specifically, the data identification module is configured to determine the vibration difference amount, including: configured to mark the initially identified single monitoring point with vibration as a starting point; generating a motion trajectory based on the vibration frequency of each point position and the corresponding vibration time point within the preset identification time; For a single motion trajectory, the difference between the maximum frequency and the minimum frequency in the vibration frequency of each point position is obtained to obtain a vibration difference.

[0030] Specifically, for the generation of a motion trajectory, point positions with a time difference greater than a preset time difference and adjacent to each other are connected to generate a motion trajectory, and the time difference is the difference between the vibration time points.

[0031] Specifically, the data calibration module is configured to calibrate a single region or issue a disaster warning information for the single region based on the vibration difference, comprising: If the vibration difference is less than or equal to a first preset vibration difference, the single region is marked as a mobile individual region; If the vibration difference is less than or equal to a second preset vibration difference and greater than the first preset vibration difference, the single region is calibrated or a disaster warning information for the single region is issued based on the shortest distance of each motion trajectory within a preset time window of the single region; If the vibration difference is greater than the second preset vibration difference, a disaster warning information for the single region is issued.

[0032] It can be understood that the actual implementer can set the first preset vibration difference and the second preset vibration difference based on the mean value of each vibration difference determined as individual activity in historical data, or set the first preset vibration difference and the second preset vibration difference based on the mean value of each vibration frequency in the single region; preferably, the first preset vibration difference is selected within the interval [5HZ, 10HZ], and the second preset vibration difference is selected within the interval [15HZ, 18HZ].

[0033] Specifically, the data calibration module is configured to calibrate a single region or issue a disaster warning information for the single region based on the shortest distance of each motion trajectory within a preset time window of the single region, comprising: Obtain each motion trajectory within the preset time window, and the minimum value of the shortest distance between the obtained several motion trajectories and the current motion trajectory is recorded as a reference distance; Wherein, the single shortest distance is the distance between the monitoring point corresponding to the maximum frequency in the current motion trajectory and the single motion trajectory; If the reference distance is less than or equal to a preset reference distance, the single region is marked as a mobile individual region; If the reference distance is greater than the preset reference distance, a disaster warning information for the single region is issued.

[0034] Specifically, if there is only a single motion trajectory in the preset time window of the region, a disaster warning information for the single region is issued.

[0035] Specifically, a motion trajectory is generated, the motion trajectory characterizes the activity trajectory of the individual, low vibration frequency is monitored to identify whether the vibration is caused by the individual activity, and the individual activity in the single region is recorded; the vibration difference quantity is calculated based on the single motion trajectory, the vibration difference quantity characterizes the difference of each vibration in the single motion trajectory, when the vibration difference quantity is less than or equal to the first preset vibration difference quantity, each vibration is smooth, the vibration of the motion trajectory is caused by small-scale local individual activity, such as small animal activity, local human activity, which has less impact on the overall geological stability, and the single region is marked to record the individual activity in the single region; when the vibration difference quantity is less than or equal to the second preset vibration difference quantity and greater than the first preset vibration difference quantity, whether the vibration frequency of the single point detection is caused by the existence of multiple individuals moving at the same time, resulting in the vibration abnormal difference quantity being large, is determined based on the shortest distance of each motion trajectory in the preset time window of the single region, the reference distance characterizes the coincidence of the motion trajectories existing in the single region at the same time in the vicinity of the time, when the reference distance is greater than the preset reference distance, the motion trajectory difference in the region under this condition is large, due to the existence of geological activity anomaly, resulting in the vibration frequency of multiple points being large, a disaster warning information for the single region is issued, through in-depth analysis of the monitoring data such as marking the starting point, generating the motion trajectory, and calculating the vibration difference quantity, the potential geological disaster signs are accurately identified, the geological activity abnormality is more comprehensively identified, and the accuracy and sensitivity of the disaster warning are further improved.

[0036] Specifically, it can be understood that the actual implementer can set the preset reference distance according to the actual situation or based on the mean value of the shortest distance of each motion trajectory in each preset time window in the historical data, or can set the mean value of the shortest distance of the adjacent motion trajectories corresponding to each active individual in the historical data, which is determined as the case where the vibration frequency of the single monitoring point is too large due to the superposition of multiple active individuals, as the preset reference distance, preferably, the preset reference distance is selected within the interval [30m, 50m].

[0037] Specifically, the calibration analysis module is used to determine whether the monitoring for each region is qualified based on the number of regions of each mobile individual region, including: If the number of regions is less than or equal to the first preset number of regions, it is determined that the monitoring for each region is qualified, and the current parameters are continuously used to monitor the single region; If the number of regions is less than or equal to the second preset number of regions and greater than the first preset number of regions, whether the monitoring for each mobile individual region is qualified is determined based on the average vibration propagation time length; If the number of regions is greater than the second preset number of regions, it is determined that the monitoring of each region is abnormal, and the monitoring parameters for each mobile individual region are adjusted or disaster warning information for each mobile individual region is issued based on the label growth parameter.

[0038] Specifically, it can be understood that the actual implementer can set the first preset number of regions and the second preset number of regions based on the number distribution of mobile individual regions in each region in the stable state in the historical data, or can set the reasonable number of mobile individual regions under different geological activity degrees as the first preset number of regions and the second preset number of regions according to experience; preferably, the first preset number of regions N1 is selected within the interval [5, 10], and the second preset number of regions N2 is selected within the interval [16, 20].

[0039] Specifically, the calibration analysis module is used to determine whether the monitoring of a single mobile individual region is qualified based on the average vibration propagation time length, comprising: obtaining the vibration interval time length of each point of the corresponding motion trajectory corresponding to the single mobile individual region, and recording the average value of each vibration interval time length as the average vibration propagation time length; If the average vibration propagation time length is less than or equal to the preset propagation time length, it is determined that the monitoring of the single mobile individual region is qualified, and the current parameters are continuously used to monitor the single region; If the average vibration propagation time length is greater than the preset propagation time length, the number of monitoring points in the single mobile individual region is adjusted to a corresponding value based on the number of regions.

[0040] In this embodiment, preferably, the preset propagation time length is selected within the interval [180s, 500s].

[0041] Specifically, the number of regions of each mobile individual region is determined based on statistics to determine whether the monitoring of each region is qualified, and the number of regions represents the activity of the active individual in each region. When the number of regions is less than or equal to the second preset number of regions and greater than the first preset number of regions, there are more active individuals in the region at this time. At this time, the average vibration propagation time length is detected to determine whether the monitoring unit set in the current mobile individual region can meet the monitoring intensity under the condition of multiple active individuals, so as to adjust the number of monitoring points to dynamically adjust the monitoring parameters in the case that the average vibration propagation time length is greater than the preset propagation time length. It can better adapt to the complex and changeable geological environment, ensure the best monitoring performance at all times, provide stronger support for the prevention and response of geological disasters, and further improve the accuracy of disaster warning.

[0042] Specifically, the calibration analysis module is used to adjust the number of monitoring points in the single mobile individual region to a corresponding value based on the number of regions, wherein: The increase range of the number of monitoring points in a single mobile individual area is proportional to the number of areas.

[0043] In this embodiment, optionally, The number of areas is compared with the first preset number comparison threshold and the second preset number comparison threshold. If the number of areas is less than or equal to the first preset number comparison threshold, the number of monitoring points in a single mobile individual area is adjusted to 1.1 times the initial number. If the number of areas is less than or equal to the second preset number comparison threshold and greater than the first preset number comparison threshold, the number of monitoring points in a single mobile individual area is adjusted to 1.17 times the initial number. If the number of areas is greater than the second preset number comparison threshold, the number of monitoring points in a single mobile individual area is adjusted to 1.28 times the initial number. The first preset number comparison threshold is 0.7N2, and the second preset number comparison threshold is 0.8N2.

[0044] Specifically, the calibration analysis module is configured to determine adjustment of monitoring parameters for each mobile individual area or issue disaster warning information for each mobile individual area based on the label growth parameter, comprising: Drawing a region number time domain curve based on the number of each area in the obtained historical data, and determining the derivative of the curve at the current time node as the growth parameter; If the growth parameter is less than or equal to the first preset growth parameter, the preset effective frequency of each mobile individual area for screening out interference data of vibration frequency is increased to a corresponding value based on the growth parameter; If the growth parameter is less than or equal to the second preset growth parameter and greater than the first preset growth parameter, the monitoring parameters for each mobile individual area are adjusted based on the expected precipitation; If the growth parameter is greater than the second preset growth parameter, disaster warning information for each mobile individual area is issued.

[0045] It can be understood that actual implementers can set the first preset growth parameter and the second preset growth parameter based on the growth rate during the period when the number of areas in the historical data grows relatively smoothly, or set the experience value summarized according to the growth of the number of areas before the occurrence of past geological disasters as the first preset growth parameter and the second preset growth parameter; preferably, the first preset growth parameter Z1 is selected within the interval [0.1, 0.3], and the second preset growth parameter Z2 is selected within the interval [0.5, 0.7].

[0046] Specifically, the calibration analysis module is configured to adjust the monitoring parameters for each mobile individual area based on the expected precipitation, comprising: If the expected precipitation amount is less than or equal to the preset precipitation amount, the preset effective frequency of each mobile individual region for screening out interference data of vibration frequency is adjusted to a corresponding value based on the growth parameter; If the expected precipitation amount is greater than the preset precipitation amount, the first preset vibration difference amount and the second preset vibration difference amount corresponding to each mobile individual region are adjusted to corresponding values based on the expected precipitation amount.

[0047] Specifically, when the number of regions is greater than the second preset number of regions, there are too many mobile individual regions, and at this time, the growth parameter is obtained, which represents the growth speed of the number of mobile individual regions. When the growth parameter is greater than the second preset growth parameter, the number of mobile individual regions suddenly increases in a short time before the collapse occurs. Due to weathering and crack expansion of the rock mass, the stress distribution inside the rock mass changes, and some small rocks will fall off first, producing low-frequency vibration. As the collapse approaches, the number of such low-frequency vibrations will gradually increase. In this case, disaster warning information is sent for each mobile individual region. When less than or equal to the first preset growth parameter, the vibration growth of each region is stable, and the preset effective frequency of each mobile individual region for screening out interference data of vibration frequency is adjusted to a corresponding value to reduce the influence of interference data, improve the accuracy of monitoring, reduce the data amount of data to be processed, and thus improve the data processing efficiency. When the growth parameter is less than or equal to the second preset growth parameter and greater than the first preset growth parameter, the monitoring parameters for each mobile individual region are adjusted based on the expected precipitation amount. At this time, the growth parameter indicates that the number of regions is growing rapidly, and the precipitation amount will have an impact on geological activities, so the precipitation factor needs to be considered to adjust the monitoring parameters. When the expected precipitation amount is greater than the preset precipitation amount, the first preset vibration difference amount and the second preset vibration difference amount corresponding to each mobile individual region are adjusted based on the expected precipitation amount. Precipitation can make the physical properties of the geological body more likely to change, improve the monitoring standard for vibration difference amount, and timely discover abnormal conditions; more comprehensively and accurately assess the geological disaster monitoring situation, and take appropriate measures according to different situations, to improve the reliability and effectiveness of the geological disaster monitoring and early warning system.

[0048] It can be understood that the actual implementer can set the preset precipitation amount based on the precipitation threshold value of each region in historical data that triggers changes in geological activities, or set the precipitation amount that may affect the stability of the geological structure and hydrological characteristics of each region as the preset precipitation amount; preferably, the preset precipitation amount L0 is selected within the interval [30mm, 60mm].

[0049] Specifically, the expected precipitation amount is a value obtained by predicting the precipitation amount of 1 square meter area within 24 hours through meteorological forecasting, data analysis model, and professional meteorological knowledge.

[0050] Specifically, the calibration analysis module is configured to increase the preset effective frequency of each mobile individual area to a corresponding value based on the growth parameter, wherein the growth parameter is a ratio of a current rainfall amount to a previous rainfall amount, and the current rainfall amount is a rainfall amount of a current time point, and the previous rainfall amount is a rainfall amount of a previous time point. The increase range of the preset effective frequency is inversely proportional to the growth parameter. The calibration analysis module is configured to decrease the first preset vibration difference amount and the second preset vibration difference amount of each mobile individual area to corresponding values based on the expected rainfall amount, wherein the expected rainfall amount is a rainfall amount of a future time point. The decrease range of the first preset vibration difference amount and the second preset vibration difference amount is inversely proportional to the expected rainfall amount.

[0051] In the embodiment, optionally, The growth parameter is compared with a first preset growth ratio threshold and a second preset growth ratio threshold. If the growth parameter is less than or equal to the first preset growth ratio threshold, the preset effective frequency is adjusted to 1.28 times of the initial preset effective frequency. If the growth parameter is less than or equal to the second preset growth ratio threshold and greater than the first preset growth ratio threshold, the preset effective frequency is adjusted to 1.21 times of the initial preset effective frequency. If the growth parameter is greater than the second preset growth ratio threshold, the preset effective frequency is adjusted to 1.13 times of the initial preset effective frequency. The first preset growth ratio threshold is 0.85Z1, and the second preset growth ratio threshold is 0.92Z1.

[0052] In the embodiment, optionally, The expected rainfall amount is compared with a first expected rainfall amount threshold and a second expected rainfall amount threshold. If the expected rainfall amount is less than or equal to the first expected rainfall amount threshold, the first preset vibration difference amount is adjusted to 0.73 times of the initial first preset vibration difference amount, and the second preset vibration difference amount is adjusted to 0.75 times of the initial second preset vibration difference amount. If the expected rainfall amount is less than or equal to the second expected rainfall amount threshold and greater than the first expected rainfall amount threshold, the first preset vibration difference amount is adjusted to 0.81 times of the initial first preset vibration difference amount, and the second preset vibration difference amount is adjusted to 0.83 times of the initial second preset vibration difference amount. If the expected rainfall amount is greater than the second expected rainfall amount threshold, the first preset vibration difference amount is adjusted to 0.94 times of the initial first preset vibration difference amount, and the second preset vibration difference amount is adjusted to 0.91 times of the initial second preset vibration difference amount. The first expected rainfall amount threshold is 1.4L0, and the second expected rainfall amount threshold is 2L0.

[0053] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical solutions after the changes or replacements will all fall within the protection scope of the present application.

[0054] The above only describes the preferred embodiments of the present application and is not intended to limit the present application; the present application can have various changes and variations for those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A geological disaster monitoring and early warning system based on big data, characterized in that: include: A data detection module, which includes a plurality of monitoring units for respectively monitoring the vibration frequency and expected precipitation of each monitoring point in each area; A data statistics module is used to record the monitoring data obtained by each monitoring unit and the time corresponding to the acquisition of each monitoring data; A data recognition module, which is used to determine the vibration difference based on the vibration conditions of each point in a single area within a preset recognition time when vibration is recognized at a single monitoring point; A data calibration module, which is used to calibrate a single area based on the vibration difference or issue disaster warning information for a single area; A calibration analysis module is used to determine whether the monitoring of each area is qualified based on the statistical number of each mobile individual area. include, Determine that the monitoring of each area is qualified and continue to monitor the individual area using the current parameters; Or, based on the marked growth parameter, it is determined to adjust the monitoring parameters for each mobile individual area or issue disaster warning information for each mobile individual area. The monitoring parameters include adjusting the preset effective frequency for filtering out interference data of the vibration frequency or adjusting the number of monitoring points in the area.

2. The geological disaster monitoring and early warning system based on big data according to claim 1 is characterized in that: Also includes: A data filtering module, which is used to filter out interference data; The data storage module is used to store the filtered monitoring data.

3. The geological disaster monitoring and early warning system based on big data according to claim 2 is characterized in that: The data recognition module is used to determine the vibration difference, including: Used to mark the single monitoring point where vibration is initially identified as the starting point; for generating a motion trajectory based on the vibration frequencies of each point where vibration occurs within a preset recognition time and the corresponding vibration time points; For a single motion trajectory, the difference between the maximum frequency and the minimum frequency in the vibration frequency of each point is obtained to obtain the vibration difference; The data calibration module is used to calibrate a single area based on the vibration difference or issue disaster warning information for a single area, including: If the vibration difference is less than or equal to a first preset vibration difference, marking the single area as a moving individual area; If the vibration difference is less than or equal to the second preset vibration difference and greater than the first preset vibration difference, the single area is calibrated or disaster warning information for the single area is issued based on the shortest distance of each motion trajectory within the preset time window of the single area; If the vibration difference is greater than a second preset vibration difference, a disaster warning message for a single area is issued.

4. The geological disaster monitoring and early warning system based on big data according to claim 3 is characterized in that: The data calibration module is used to calibrate a single area or issue disaster warning information for a single area based on the shortest distance of each motion trajectory within a preset time window of the single area, including: Obtain each motion track within a preset time window, and record the minimum value of the shortest distances between the obtained motion tracks and the current motion track as a reference distance; The single shortest distance is the distance between the monitoring point corresponding to the maximum frequency in the current motion trajectory and the single motion trajectory; If the reference distance is less than or equal to the preset reference distance, the single area is marked as a moving individual area; If the reference distance is greater than the preset reference distance, a disaster warning message for a single area will be issued.

5. The geological disaster monitoring and early warning system based on big data according to claim 4 is characterized in that: The calibration analysis module is used to determine whether the monitoring of each area is qualified based on the statistical number of areas of each mobile individual area, including: If the number of regions is less than or equal to the first preset number of regions, it is determined that the monitoring of each region is qualified, and the current parameters are continuously used to monitor the single region; If the number of regions is less than or equal to the second preset number of regions and greater than the first preset number of regions, determining whether the monitoring of each mobile individual region is qualified based on the average vibration propagation duration; If the number of regions is greater than the second preset number of regions, it is determined that the monitoring of each region is abnormal, and based on the marked growth parameter, it is determined to adjust the monitoring parameters for each mobile individual region or issue disaster warning information for each mobile individual region.

6. The geological disaster monitoring and early warning system based on big data according to claim 5 is characterized in that: The calibration analysis module is used to determine whether the monitoring of a single mobile individual area is qualified based on the average vibration propagation duration, including: Obtain the vibration interval duration of each point on the motion trajectory corresponding to the single moving individual area, and record the average of the calculated vibration interval durations as the average vibration propagation duration; If the average vibration propagation time is less than or equal to the preset propagation time, the monitoring of the single mobile individual area is determined to be qualified, and the current parameters are continuously used to monitor the single area; If the average vibration propagation time is greater than the preset propagation time, the number of monitoring points in the area of ​​a single mobile individual is adjusted to a corresponding value based on the number of areas.

7. The geological disaster monitoring and early warning system based on big data according to claim 6 is characterized in that: The calibration analysis module is used to adjust the number of monitoring points in a single mobile individual area to a corresponding value based on the number of areas, wherein: The increase in the number of monitoring points within a single mobile individual area is proportional to the number of areas.

8. The geological disaster monitoring and early warning system based on big data according to claim 7 is characterized in that: The calibration analysis module is used to determine and adjust monitoring parameters for each mobile individual area or issue disaster warning information for each mobile individual area based on the marker growth parameter, including: Based on the number of each region in the historical data obtained, a time domain curve of the region number is drawn, and the derivative of the curve at the current time node is determined as the growth parameter; If the growth parameter is less than or equal to the first preset growth parameter, then increasing the preset effective frequency of each mobile individual area for filtering out interference data of the vibration frequency to a corresponding value based on the growth parameter; If the growth parameter is less than or equal to the second preset growth parameter and greater than the first preset growth parameter, adjusting the monitoring parameters for each mobile individual area based on the expected precipitation; If the growth parameter is greater than the second preset growth parameter, disaster warning information for each mobile individual area is issued.

9. The geological disaster monitoring and early warning system based on big data according to claim 8 is characterized in that: The calibration analysis module is used to adjust the monitoring parameters for each mobile individual area based on the expected precipitation, including: If the expected precipitation is less than or equal to the preset precipitation, then based on the growth parameter, the preset effective frequency of each mobile individual area for filtering out interference data of the vibration frequency is increased to a corresponding value; If the expected precipitation is greater than the preset precipitation, the first preset vibration difference amount and the second preset vibration difference amount corresponding to each mobile individual area are adjusted down to corresponding values ​​based on the expected precipitation.

10. The geological disaster monitoring and early warning system based on big data according to claim 9 is characterized in that: The calibration analysis module is used to increase the preset effective frequency of each mobile individual area for filtering out interference data of the vibration frequency to a corresponding value based on the growth parameter, wherein, The increase in the preset effective frequency is inversely proportional to the growth parameter; The calibration analysis module is used to adjust the first preset vibration difference amount and the second preset vibration difference amount corresponding to each mobile individual area to corresponding values ​​based on the expected precipitation, wherein: The magnitude of the decrease in the first preset vibration difference amount and the second preset vibration difference amount is inversely proportional to the expected precipitation amount.

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