Landslide Monitoring and Early Warning System

Abstract

The present invention provides a landslide monitoring and early warning system, which relates to the field of safety monitoring technology, and includes: a stress sensor and a processor, wherein the processor is used to: obtain stress data, height data, slope data and serial number of the stress sensor; determine the landslide risk coefficient corresponding to the serial number according to the stress data, height data and slope data of the stress sensor with the same serial number at each height; determine whether there is a landslide risk on the slope according to the landslide risk coefficient; if there is, generate an early warning signal according to the landslide risk coefficient. According to the present invention, stress sensors with the same serial number at each height can be used to detect stress on the surface of a mountain in the same direction, so as to facilitate the analysis of stress on the surface of a mountain in the same direction, and to facilitate the judgment of whether stress accumulation occurs in the mountain in the same direction, so as to more accurately judge whether there is a risk of landslide, and improve the accuracy of monitoring landslides.

Description

Technical Field

[0001] The invention relates to the technical field of safety monitoring, and in particular to a landslide monitoring and early warning system. Background Art

[0002] In the related art, CN110487449A discloses a real-time monitoring system and method for landslides, which includes a stress measurement system and a data acquisition and transmission system; the stress measurement system includes an anti-slip pile and a deformation sensor fixed on the anti-slip pile, and the anti-slip pile is fixed in an area where no slip occurs at the bottom of the landslide body; the data acquisition and transmission system is connected to the deformation sensor, and is used to collect and transmit the data output by the deformation sensor. Since the deformation sensor is fixed on the anti-slip pile, and the anti-slip pile is fixed in a relatively stable area where no slip occurs, it will not move with the landslide body, and can stably monitor the state and stress changes of the landslide body. The deformation sensor is connected to the data acquisition and transmission system, and can realize real-time transmission and observation of data, ensuring the real-time monitoring of the landslide body and the safety of data collection personnel, and reducing the monitoring cost.

[0003] CN106872081A discloses a stress monitoring and early warning method based on natural frequency, which relates to the field of slope monitoring and early warning technology and is used to realize non-contact early warning monitoring of landslides. The stress monitoring and early warning method based on natural frequency includes: establishing a landslide model according to parameters; establishing a natural frequency-time curve and a displacement-time curve; analyzing the natural frequency and strain displacement according to the established natural frequency-time curve and displacement-time curve; formulating a new stress early warning index according to the analyzed vibration frequency. The method is suitable for landslide monitoring.

[0004] Therefore, in the relevant technology, the risk of landslides can be monitored by detecting parameters such as deformation and frequency. However, landslides are not only related to parameters such as deformation and frequency, but also to parameters such as slope and stress. If stress accumulates in mountains with the same orientation, resulting in excessive stress on the soil on the surface of the mountain and difficulty in adhering to the mountain, the risk of landslides is more likely to occur. The relevant technology does not monitor and analyze data such as slope, orientation and stress, making it difficult to monitor the risk of landslides more accurately.

[0005] The information disclosed in the background technology section of this application is only intended to deepen the understanding of the general background technology of this application, and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. Summary of the invention

[0006] The embodiment of the present invention provides a landslide monitoring and early warning system, which can solve the technical problem of difficulty in accurately detecting the danger of landslides.

[0007] According to the present invention, a landslide monitoring and early warning system is provided, comprising: a plurality of stress sensors and a processor; the stress sensors are arranged at a plurality of positions on a hillside, and the slope data and height data of the positions of the respective stress sensors are recorded in a database, and a plurality of stress sensors are arranged at the same height; the processor is used for: obtaining stress data, height data and slope data of the respective stress sensors; obtaining serial numbers of the plurality of stress sensors at each height; determining the landslide hazard coefficient corresponding to the serial number according to the stress data, height data and slope data of the stress sensors with the same serial number at each height, wherein the connecting lines between the positions of the stress sensors with the same serial number and the hillside apex are in the same plane; determining whether the hillside has a landslide risk according to the landslide hazard coefficient corresponding to each serial number; and generating an early warning signal according to the landslide hazard coefficient corresponding to each serial number when the hillside has a landslide risk.

[0008] According to the present invention, based on the stress data, height data and slope data of stress sensors with the same sequence number at each height, the landslide hazard coefficient corresponding to the sequence number is determined, including: determining a reference stress sensor based on the stress data of the stress sensor with the largest height data and the stress data of the stress sensor with the smallest slope, and acquiring the stress data collected by the reference stress sensor as the reference stress data; determining the first stress threshold of each stress sensor with the same sequence number based on the slope data of the reference stress sensor and the reference stress data, and the slope data of each stress sensor with the same sequence number; determining a target stress sensor with stress data greater than or equal to the first stress threshold based on the stress data of each stress sensor with the same sequence number and the first stress threshold;

[0009] The stress accumulation function corresponding to the serial number is determined based on the stress data of the target stress sensor and the first stress threshold, as well as the height data and slope data of the target stress sensor; the landslide hazard factor corresponding to the serial number is determined based on the stress accumulation function, as well as the height and slope of each position of the slope within the plane where the stress sensor with the same serial number is located.

[0010] According to the present invention, a reference stress sensor is determined based on stress data of a stress sensor with the largest height data and stress data of a stress sensor with the smallest slope, and stress data collected by the reference stress sensor is obtained as baseline stress data, including: determining the smaller of the stress data collected by the stress sensor with the largest height data and the stress sensor with the smallest slope as the baseline stress data; and determining the stress sensor that collects the baseline stress data as the reference stress sensor.

[0011] According to the present invention, the height distribution of the stress sensors with the same serial number is uniform; wherein, according to the slope data of the reference stress sensor and the reference stress data, and the slope data of the stress sensors with the same serial number, determining the first stress threshold of each stress sensor with the same serial number comprises: according to the formula Determine the first stress threshold of the stress sensor with the jth height of the i-th sequence number ,in, is the slope data of the stress sensor with the jth height of the ith sequence number, is the slope data of the reference stress sensor with the ith serial number, is the benchmark stress data of the i-th serial number.

[0012] According to the present invention, the stress accumulation function corresponding to the sequence number is determined according to the stress data of the target stress sensor and the first stress threshold, as well as the height data and slope data of the target stress sensor, including: determining whether the height data of the target stress sensor are adjacent; if the height data of the target stress sensor are adjacent, according to the formula Determine the function to be fitted, where is the first stress threshold of the stress sensor with the jth height of the ith sequence number, is the stress data collected by the target stress sensor with the i-th sequence number and the j-th height, is the slope data collected by the target stress sensor with the i-th sequence number and the j-th height, The height data collected by the target stress sensor with the jth height of the i-th sequence number, , , and is the coefficient to be fitted; according to the first stress threshold, stress data, slope data and height data of the target stress sensor, the coefficient to be fitted of the function to be fitted is solved to obtain a solution value of the coefficient to be fitted; according to the solution value, a stress accumulation function corresponding to the sequence number is obtained.

[0013] According to the present invention, according to the stress accumulation function, and the height and slope of each position of the slope within the plane where the stress sensors with the same serial number are located, the landslide hazard coefficient corresponding to the serial number is determined, including: according to the stress accumulation function, the height and slope of each position of the slope within the plane where the stress sensors with the same serial number are located, determining the maximum value of the stress accumulation function within the plane where the stress sensors with the same serial number are located; according to the maximum value and a preset stress accumulation threshold, determining the landslide hazard coefficient corresponding to the serial number.

[0014] According to the present invention, whether the hillside has a landslide risk is determined based on the landslide hazard coefficient corresponding to each serial number, including: determining the number of target serial numbers whose landslide hazard coefficient is greater than or equal to a first coefficient threshold; when the number of target serial numbers is greater than or equal to a preset number, determining that the hillside has a landslide risk.

[0015] According to the present invention, when there is a risk of landslide on the hillside, a warning signal is generated according to the landslide hazard coefficient corresponding to each serial number, including: when target serial numbers with landslide hazard coefficients greater than or equal to a coefficient threshold are adjacent, and there is at least one serial number among the target serial numbers whose corresponding landslide hazard coefficient is greater than or equal to a second coefficient threshold, an emergency warning signal is generated; otherwise, a general warning signal is generated, wherein the second coefficient threshold is greater than the first coefficient threshold.

[0016] Technical effect: According to the present invention, stress sensors with the same serial number at each height can be used to detect stress on the surface of a mountain in the same direction, thereby facilitating analysis of stress on the surface of a mountain in the same direction, facilitating judgment of whether stress accumulation occurs in the mountain in the same direction, thereby more accurately judging whether there is a risk of landslides, and improving the accuracy of landslide monitoring. When determining the first stress threshold of stress sensors at each height, the theoretical values ​​of other stress sensors can be determined based on measured data such as the slope at the location of the reference stress sensor, the benchmark stress data, and the slope at the location of other stress sensors, thereby eliminating the influence of soil weight and improving the accuracy of the first stress threshold. When determining the stress accumulation function, the stress data, slope data, height data and the first stress threshold of the target stress sensor can be used to represent the stress accumulation value at the location of each target stress sensor when the soil adhesion effect is poor, so as to fit the height data and slope data to obtain the stress accumulation function, and then the stress accumulation value at any position can be solved by any height and the slope at the height position, so as to intuitively represent the gap between the stress and the theoretical value, and intuitively reflect the danger of landslides, thereby improving the accuracy and practicality of the stress accumulation function.

[0017] It should be understood that the above general description and the following detailed description are exemplary and explanatory only and do not limit the present invention. Other features and aspects of the present invention will become more apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A landslide monitoring and early warning system according to an embodiment of the present invention is exemplarily shown. Implementation

[0019] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0021] Figure 1 A landslide monitoring and early warning system according to an embodiment of the present invention is exemplarily shown, comprising: a plurality of stress sensors and a processor; the stress sensors are arranged at a plurality of positions on a hillside, and the slope data and height data of the positions of the respective stress sensors are recorded in a database, and a plurality of stress sensors are arranged at the same height; the processor is used for: obtaining stress data, height data and slope data of the respective stress sensors; obtaining serial numbers of the plurality of stress sensors at each height; determining a landslide hazard coefficient corresponding to the serial number according to the stress data, height data and slope data of the stress sensors with the same serial number at each height, wherein the connecting lines between the positions of the stress sensors with the same serial number and the hillside apex are in the same plane; determining whether the hillside has a landslide risk according to the landslide hazard coefficients corresponding to the respective serial numbers; and generating an early warning signal according to the landslide hazard coefficients corresponding to the respective serial numbers when the hillside has a landslide risk.

[0022] According to the landslide monitoring and early warning system of the embodiment of the present invention, the stress on the surface of the mountain in the same direction can be detected by stress sensors with the same serial number at various heights, thereby facilitating the analysis of the stress on the surface of the mountain in the same direction, facilitating the judgment of whether stress accumulation occurs in the mountains in the same direction, thereby more accurately judging whether there is a risk of landslide, and improving the accuracy of landslide monitoring.

[0023] According to one embodiment of the present invention, Figure 1As shown, stress sensors can be set at multiple locations on the hillside, and multiple stress sensors can be set at the same height (on the same contour line), and the orientation of stress sensors with the same serial number on different contour lines is the same, that is, the line between the location of the stress sensor with the same serial number and the hillside vertex is in the same plane. Specifically, with the hillside vertex as the starting point, a first vertical line is drawn to the ground plane, and a second vertical line is drawn to the first vertical line from the location of each stress sensor with the same serial number, then the multiple second vertical lines have the same direction and are in the same plane. In the example, multiple stress sensors with serial number i (i is a positive integer) at different heights have the same orientation, multiple stress sensors with serial number i-1 at different heights have the same orientation, and multiple stress sensors with serial number i+1 at different heights have the same orientation.

[0024] According to one embodiment of the present invention, multiple stress sensors can communicate wirelessly or wired with a processor, so that the collected stress data is sent to the processor for processing, and the processor can also be connected to a memory, in which a database can be stored, and the slope data and height data of the location of each stress sensor can be recorded in the database, or the database can also be stored in the processor. The processor can call the slope data and height data of each stress sensor in the database, and analyze it in combination with the stress data collected by each stress sensor. Furthermore, the serial numbers of multiple stress sensors at each height can also be obtained, so that the stress data collected by the stress sensors with the same serial number and the same direction can be analyzed through the serial numbers of the stress sensors at each height, and then the risk of landslide can be analyzed.

[0025] According to one embodiment of the present invention, a landslide hazard coefficient corresponding to a sequence number is determined based on stress data, height data and slope data of stress sensors with the same sequence number at each height, including: determining a reference stress sensor based on stress data of a stress sensor with the largest height data and stress data of a slope sensor with the smallest slope, and acquiring stress data collected by the reference stress sensor as reference stress data; determining a first stress threshold of each stress sensor with the same sequence number based on slope data of the reference stress sensor and the reference stress data, and slope data of each stress sensor with the same sequence number; determining a target stress sensor with stress data greater than or equal to the first stress threshold based on stress data of each stress sensor with the same sequence number and the first stress threshold; determining a stress accumulation function corresponding to the sequence number based on stress data of the target stress sensor and the first stress threshold, and height data and slope data of the target stress sensor; determining a landslide hazard coefficient corresponding to the sequence number based on the stress accumulation function and the heights and slopes of each position of the slope within the plane where the stress sensors with the same sequence number are located.

[0026] According to one embodiment of the present invention, the stress data detected by the stress sensor at the highest altitude may be the smallest, because the weight of the mountain pressing the stress sensor above the stress sensor is low. The stress data detected by the stress sensor with the smallest slope may also be the smallest, because the slope is small, so the soil on the surface of the mountain is better attached to the mountain and remains relatively fixed, and will not produce a large squeezing force on the stress sensor, so the detected stress data is small. According to the stress data of the stress sensor with the largest altitude data and the stress data of the stress sensor with the smallest slope, a reference stress sensor is determined, and the stress data collected by the reference stress sensor is obtained as the reference stress data, including: determining the smaller of the stress data collected by the stress sensor with the largest altitude data and the stress sensor with the smallest slope as the reference stress data; determining the stress sensor that collects the reference stress data as the reference stress sensor. Therefore, the smaller of the stress data collected by the stress sensor with the largest height data and the stress data collected by the stress sensor with the smallest slope is usually the minimum value of the stress detected by multiple stress sensors with the same serial number. This minimum value can be determined as the benchmark stress data, and the stress sensor that collects the benchmark stress data can be determined as the reference stress sensor. The position of the reference stress sensor is the position with the lowest possibility of landslide among the positions of multiple stress sensors with the same serial number.

[0027] According to one embodiment of the present invention, the height data and slope data of multiple stress sensors with the same serial number at different heights may be different from each other, so the probability of landslides occurring at the locations of multiple stress sensors with the same serial number is also different. Since the surface of the mountain is attached to the mountain, if the attachment effect is good and the height distribution is uniform, the difference in stress data detected by each stress sensor at different heights is only caused by the slope, that is, at a location with a larger slope, the stress data detected by the stress sensor is larger because the weight of the soil on the surface of the mountain is more applied to the stress sensor, and at a location with a smaller slope, the stress data detected by the stress sensor is smaller because the weight of the soil on the surface of the mountain is less applied to the stress sensor and more applied to the mountain.

[0028] According to one embodiment of the present invention, based on the above reasons, the first stress threshold of each stress sensor with the same serial number can be determined based on the difference between the slope of the location of the stress sensor with the same serial number and the slope of the location of the reference stress sensor, as well as the benchmark stress data. If the stress data detected by the stress sensor exceeds the first stress threshold, it indicates that the adhesion effect of the soil on the surface of the mountain where the stress sensor is located is poor, and the weight of the soil on the surface of the mountain is more applied to the stress sensor rather than to the mountain, which makes the risk of landslide at this location greater.

[0029] According to an embodiment of the present invention, the heights of the stress sensors with the same serial number are evenly distributed; wherein, according to the slope data of the reference stress sensor and the reference stress data, as well as the slope data of the stress sensors with the same serial number, determining the first stress threshold of each stress sensor with the same serial number comprises: determining the first stress threshold of the stress sensor with the jth height of the ith serial number according to formula (1): , (1) Among them, is the slope data of the stress sensor with the jth height of the ith sequence number, is the slope data of the reference stress sensor with the ith serial number, is the benchmark stress data of the i-th serial number.

[0030] According to one embodiment of the present invention, the first stress threshold is a theoretical value of the stress sensor calculated based on the slope and the reference stress data of the reference stress sensor. Since the height distribution is uniform, it can be assumed that the weight of the soil attached to the mountain between adjacent heights is the same. Therefore, at the location of the reference stress sensor, if the soil adhesion effect is good, the pressure of the soil weight on it is , where M is the mass of the assumed soil, g is the acceleration of gravity, and the pressure value is equal to .

[0031] According to one embodiment of the present invention, at the positions of other stress sensors with the same serial number, the pressure of the soil weight on the stress sensor is theoretically , the theoretical pressure value is equal to .

[0032] According to one embodiment of the present invention, the difference between the slope of the location where the other stress sensors are located and the slope of the location where the reference stress sensor is located is Therefore, in order to eliminate the uncertainty of the assumed soil quality parameters, ,therefore, ,Right now, ,therefore, , formula (1) can be obtained by rearranging, so that the theoretical pressure value of other stress sensors, that is, the first stress threshold, is represented by the reference stress data detected by the reference stress sensor, the slope at the reference stress sensor and the measured data of the slope at the other stress sensors.

[0033] In this way, the theoretical values ​​of other stress sensors can be determined based on the slope of the reference stress sensor, the benchmark stress data, and the measured data such as the slope of the other stress sensors, eliminating the influence of soil weight and improving the accuracy of the first stress threshold.

[0034] According to one embodiment of the present invention, among the stress sensors with the same serial number, a target stress sensor whose stress data is greater than or equal to its respective first stress threshold is determined. It can be considered that the soil adhesion effect at the location of the target stress sensor is poor, and it fails to adhere more to the mountain, but instead accumulates the stress generated by the weight of the soil downward. Therefore, there is a certain risk of landslide. For example, when the accumulated stress is too large and exceeds the bearing capacity of the soil on the surface of the mountain, a landslide may occur.

[0035] According to an embodiment of the present invention, determining the stress accumulation function corresponding to the sequence number according to the stress data of the target stress sensor and the first stress threshold, as well as the height data and the slope data of the target stress sensor, includes: determining whether the height data of the target stress sensors are adjacent; if the height data of the target stress sensors are adjacent, determining the function to be fitted according to formula (2), (2) Among them, is the first stress threshold of the stress sensor with the jth height of the ith sequence number, is the stress data collected by the target stress sensor with the i-th sequence number and the j-th height, is the slope data collected by the target stress sensor with the i-th sequence number and the j-th height, The height data collected by the target stress sensor with the jth height of the i-th sequence number, , , and is the coefficient to be fitted; according to the first stress threshold, stress data, slope data and height data of the target stress sensor, the coefficient to be fitted of the function to be fitted is solved to obtain a solution value of the coefficient to be fitted; according to the solution value, a stress accumulation function corresponding to the sequence number is obtained.

[0036] According to one embodiment of the present invention, if the height data of the target stress sensors are not adjacent, it means that there is a stress sensor among multiple target stress sensors whose stress data does not exceed the first stress threshold. The stress at the location of the stress sensor is relatively small and there is no stress accumulation. Therefore, the risk of landslide is relatively small.

[0037] According to one embodiment of the present invention, if the height data of the target stress sensors are adjacent, that is, multiple target stress sensors appear continuously, then the stress data at the locations of these target stress sensors exceed the first stress threshold, indicating that the adhesion of the soil at these locations is poor, and the stress accumulates downward, which may cause landslides.

[0038] According to one embodiment of the present invention, if the height data of the target stress sensor are adjacent, the gap between the stress data collected by the target stress sensor and the first stress threshold value can be fitted according to formula (2), and the gap is positively correlated with the slope of the location where the target stress sensor is located, that is, the greater the slope, the greater the gap, and the greater the risk of landslide, and the gap is negatively correlated with the height data of the location where the target stress sensor is located, because stress accumulates downward, therefore, the smaller the height data, the greater the accumulated stress, the greater the above gap, and the greater the risk of landslide.

[0039] According to one embodiment of the present invention, based on the above analysis, the sine value of the slope can be set in the numerator, the height data can be set in the denominator, and the coefficients to be fitted can be set as exponents (ie, and ), further, the coefficient to be fitted can be set as a multiplier for the above fraction (ie, ) and the constant term (i.e., ), thereby improving the accuracy of the fitting calculation.

[0040] According to one embodiment of the present invention, since four coefficients to be fitted are set above, at least four consecutive slope data, height data, stress data and first stress threshold of the target stress sensor are required to solve the above coefficients to be fitted. Of course, in order to save computing power or if the number of target sensors is insufficient, the coefficients to be fitted can be reduced, for example, no multiplier or constant term is set, etc., and the present invention does not limit this.

[0041] According to one embodiment of the present invention, the coefficients to be fitted can be calculated by a fitting method to obtain the solution values ​​of the coefficients to be fitted, which can be substituted into the right side of formula (2) to obtain the stress accumulation function. Based on the stress accumulation function, any height on the hillside and the slope at the height can be substituted to obtain the value of stress accumulation, which can represent the stress value accumulated at the position when the soil adhesion effect on the mountain surface is poor, that is, the difference between the stress value at the position and the theoretical stress when the soil adhesion effect is good.

[0042] In this way, the stress data, slope data, height data and the first stress threshold of the target stress sensor can be used to represent the stress accumulation value at the location of each target stress sensor when the soil adhesion effect is poor, so as to fit the height data and slope data to obtain the stress accumulation function, and then the stress accumulation value at any position can be solved by any height and the slope at the height position, so as to intuitively represent the gap between the stress and the theoretical value, and intuitively reflect the danger of landslides, thereby improving the accuracy and practicality of the stress accumulation function.

[0043] According to one embodiment of the present invention, a landslide hazard coefficient corresponding to the serial number is determined based on the stress accumulation function and the height and slope of each position of the slope within the plane where the stress sensors with the same serial number are located, including: determining the maximum value of the stress accumulation function within the plane where the stress sensors with the same serial number are located based on the stress accumulation function and the height and slope of each position of the slope within the plane where the stress sensors with the same serial number are located; and determining the landslide hazard coefficient corresponding to the serial number based on the maximum value and a preset stress accumulation threshold.

[0044] According to one embodiment of the present invention, the height and slope of each position in the direction where the stress sensor with the same serial number is located are substituted into the stress accumulation function, and the maximum value is determined in the solved stress accumulation value, and the ratio between the maximum value and the preset stress accumulation threshold can be solved as the landslide hazard coefficient corresponding to the serial number, which can be used to indicate the degree of danger of the maximum value of stress accumulation in the direction corresponding to the serial number, or the probability of a landslide occurring.

[0045] According to one embodiment of the present invention, determining whether the slope has a landslide risk based on the landslide hazard coefficient corresponding to each serial number includes: determining the number of target serial numbers whose landslide hazard coefficient is greater than or equal to a first coefficient threshold; and determining that the slope has a landslide risk when the number of target serial numbers is greater than or equal to a preset number.

[0046] According to an embodiment of the present invention, the first coefficient threshold value can be set to 0.6 or 0.5, etc. If the landslide risk coefficient in the direction corresponding to a certain sequence number is greater than or equal to the first coefficient threshold value, it means that the risk of landslide in the direction is relatively high, and the sequence number can be determined as the target sequence number. And if the number of target sequence numbers is large (for example, more than the preset number), the slope has the risk of landslide.

[0047] According to one embodiment of the present invention, when there is a risk of landslide on the hillside, a warning signal is generated according to the landslide hazard coefficient corresponding to each serial number, including: when target serial numbers with landslide hazard coefficients greater than or equal to a coefficient threshold are adjacent, and there is at least one serial number among the target serial numbers whose corresponding landslide hazard coefficient is greater than or equal to a second coefficient threshold, an emergency warning signal is generated; otherwise, a general warning signal is generated, wherein the second coefficient threshold is greater than the first coefficient threshold.

[0048] According to one embodiment of the present invention, if the target numbers are adjacent, it means that the directions with landslide risks are relatively concentrated. If there is at least one number corresponding to a landslide risk coefficient greater than or equal to the second coefficient threshold, it means that the accumulated stress in the direction corresponding to one or more target numbers is large, so that the landslide risk coefficient is greater than or equal to the second coefficient threshold (for example, 0.8). If the above two conditions are met at the same time, it means that the directions with large accumulated stress are concentrated and the value of the accumulated stress is large, and the risk of landslide is high, then an emergency warning signal can be generated, and the staff can be prompted to take necessary measures, such as evacuating people under the hillside, etc. If the above two conditions cannot be met at the same time, a general warning signal can be generated to prompt the staff to take measures such as strengthening the mountain.

[0049] According to the landslide monitoring and early warning system of the embodiment of the present invention, stress sensors with the same serial number at each height can detect stress on the surface of the mountain in the same direction, so as to facilitate the analysis of stress on the surface of the mountain in the same direction, and to facilitate the judgment of whether stress accumulation occurs in the mountain in the same direction, so as to more accurately judge whether there is a risk of landslide, and improve the monitoring accuracy of landslide. When determining the first stress threshold of the stress sensor at each height, the theoretical value of other stress sensors can be determined based on the slope of the location of the reference stress sensor, the benchmark stress data and the slope of the location of other stress sensors, etc., to eliminate the influence of soil weight and improve the accuracy of the first stress threshold. When determining the stress accumulation function, the stress data, slope data, height data and the first stress threshold of the target stress sensor can be used to represent the stress accumulation value at the location of each target stress sensor when the soil adhesion effect is poor, so as to fit the height data and slope data to obtain the stress accumulation function, and then the stress accumulation value at any position can be solved by any height and the slope at the height position, so as to intuitively represent the gap between the stress and the theoretical value, and intuitively reflect the danger of landslides, thereby improving the accuracy and practicality of the stress accumulation function.

[0050] It should be understood by those skilled in the art that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

Claims

1. A landslide monitoring and early warning system, characterized in that: include: multiple stress sensors and processors; The stress sensors are arranged at multiple positions on the hillside, and the slope data and height data of the positions of the stress sensors are recorded in the database, and multiple stress sensors are arranged at the same height; the processor is used to: obtain the stress data, height data and slope data of each stress sensor; obtain the serial numbers of multiple stress sensors at each height; determine the landslide hazard coefficient corresponding to the serial number according to the stress data, height data and slope data of the stress sensors with the same serial number at each height, wherein the lines between the positions of the stress sensors with the same serial number and the hillside apex are in the same plane; determine whether the hillside has a landslide risk according to the landslide hazard coefficients corresponding to the serial numbers; if the hillside has a landslide risk, generate an early warning signal according to the landslide hazard coefficients corresponding to the serial numbers; Determine the landslide hazard coefficient corresponding to the sequence number according to the stress data, height data and slope data of the stress sensors with the same sequence number at each height, including: determine the reference stress sensor according to the stress data of the stress sensor with the largest height data and the stress data of the stress sensor with the smallest slope, and obtain the stress data collected by the reference stress sensor as the reference stress data; determine the first stress threshold of each stress sensor with the same sequence number according to the slope data of the reference stress sensor and the reference stress data, and the slope data of each stress sensor with the same sequence number; determine the target stress sensor with stress data greater than or equal to the first stress threshold according to the stress data of each stress sensor with the same sequence number and the first stress threshold; determine the stress accumulation function corresponding to the sequence number according to the stress data of the target stress sensor and the first stress threshold, and the height data and slope data of the target stress sensor; determine the landslide hazard coefficient corresponding to the sequence number according to the stress accumulation function and the height and slope of each position of the slope in the plane where the stress sensors with the same sequence number are located.

2. The landslide monitoring and early warning system according to claim 1 is characterized in that: A reference stress sensor is determined according to stress data of a stress sensor with the largest height data and stress data of a stress sensor with the smallest slope, and stress data collected by the reference stress sensor is obtained as reference stress data, including: determining the smaller of stress data collected by the stress sensor with the largest height data and stress data collected by the stress sensor with the smallest slope as the reference stress data; and determining the stress sensor that collects the reference stress data as the reference stress sensor.

3. The landslide monitoring and early warning system according to claim 1 is characterized in that: The height distribution of the stress sensors with the same serial number is uniform; wherein, according to the slope data of the reference stress sensor and the reference stress data, and the slope data of each stress sensor with the same serial number, the first stress threshold of each stress sensor with the same serial number is determined, including: according to the formula F i，j，T =F i，R [cos(θ i，j -θ i，R )+cot(θ i，j )sin(θ i，j -θ i，R )] Determine the first stress threshold F of the stress sensor with the jth height of the i-th sequence number i，j，T , where θ i，j is the slope data of the stress sensor at the jth height with the ith sequence number, θ i，R is the slope data of the reference stress sensor with the ith serial number, F i，R is the benchmark stress data of the i-th serial number.

4. The landslide monitoring and early warning system according to claim 1 is characterized in that: Determine the stress accumulation function corresponding to the sequence number according to the stress data of the target stress sensor and the first stress threshold, as well as the height data and slope data of the target stress sensor, including: determining whether the height data of the target stress sensors are adjacent; if the height data of the target stress sensors are adjacent, determine the stress accumulation function corresponding to the sequence number according to the formula Determine the function to be fitted, where F i，j，T is the first stress threshold of the stress sensor with the jth height of the ith sequence number, F i，j is the stress data collected by the target stress sensor with the i-th sequence number and the j-th height, θ i，j is the slope data collected by the target stress sensor with the i-th sequence number and the j-th height, h i，j is the height data collected by the target stress sensor of the jth height with the ith serial number, α, β, δ and ε are the coefficients to be fitted; according to the first stress threshold, stress data, slope data and height data of the target stress sensor, the coefficients to be fitted of the function to be fitted are solved to obtain the solution values ​​of the coefficients to be fitted; according to the solution values, the stress accumulation function corresponding to the serial number is obtained.

5. The landslide monitoring and early warning system according to claim 1 is characterized in that: According to the stress accumulation function, and the height and slope of each position of the hillside within the plane where the stress sensors with the same serial number are located, determining the landslide hazard coefficient corresponding to the serial number, including: determining the maximum value of the stress accumulation function within the plane where the stress sensors with the same serial number are located according to the stress accumulation function, the height and slope of each position of the hillside within the plane where the stress sensors with the same serial number are located; determining the landslide hazard coefficient corresponding to the serial number according to the maximum value and a preset stress accumulation threshold.

6. The landslide monitoring and early warning system according to claim 1 is characterized in that: Determine whether the hillside has a landslide risk based on the landslide hazard coefficient corresponding to each serial number, including: determining the number of target serial numbers whose landslide hazard coefficient is greater than or equal to a first coefficient threshold; and determining that the hillside has a landslide risk when the number of target serial numbers is greater than or equal to a preset number.

7. The landslide monitoring and early warning system according to claim 6 is characterized in that: In the case where there is a risk of landslide on the hillside, a warning signal is generated according to the landslide hazard coefficient corresponding to each serial number, including: when target serial numbers with landslide hazard coefficients greater than or equal to a coefficient threshold are adjacent, and there is at least one serial number among the target serial numbers whose corresponding landslide hazard coefficient is greater than or equal to a second coefficient threshold, an emergency warning signal is generated; otherwise, a general warning signal is generated, wherein the second coefficient threshold is greater than the first coefficient threshold.

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