CN115240371A - Mountain landslide real-time monitoring system based on data analysis - Google Patents
Mountain landslide real-time monitoring system based on data analysis Download PDFInfo
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Abstract
The invention discloses a landslide real-time monitoring system based on data analysis, which relates to the technical field of landslide real-time monitoring and solves the technical problem that in the prior art, a mountain area cannot be accurately analyzed, so that the qualification of landslide monitoring cannot be met; landslide direction analysis is carried out on a landslide area in the mountain area, landslide direction is accurately analyzed, pertinence of landslide rescue prevention is improved, influence of landslide is reduced beneficially, and landslide prevention accuracy is improved; the mountain area monitored in real time is analyzed, the setting position of the monitoring device is obtained according to the analysis, the operation efficiency of the monitoring device is guaranteed, and the landslide monitoring qualification of the mountain area is improved.
Description
Technical Field
The invention relates to the technical field of landslide real-time monitoring, in particular to a landslide real-time monitoring system based on data analysis.
Background
The landslide is an action and phenomenon that a certain part of rock and soil on a mountain slope generates shear displacement along a certain weak structural plane under the action of gravity (including the gravity of the rock and the dynamic and static pressure of underground water) and integrally moves to the lower part of the slope, and is one of common geological disasters, so that the real-time monitoring of the landslide is very important.
However, in the prior art, the mountain area cannot be accurately analyzed, so that the qualification for monitoring the landslide cannot be met, and early warning cannot be timely performed; meanwhile, when landslide occurs, stage analysis cannot be carried out, so that secondary damage of the landslide cannot be accurately prevented, and rescue efficiency is reduced; in addition, landslide direction analysis cannot be performed for landslides, so that rescue lacks pertinence.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a landslide real-time monitoring system based on data analysis, which analyzes the landslide stage of a mountain area, analyzes the stage of the current landslide in real time, improves the reasonability of landslide control, reduces the secondary influence after the landslide is generated, and is beneficial to minimizing the influence of the landslide; landslide direction analysis is carried out on a landslide area in the mountain area, landslide direction is accurately analyzed, pertinence of landslide rescue precaution is improved, influence of landslide is reduced beneficially, and landslide prevention accuracy is improved.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a mountain landslide real-time supervision system based on data analysis, includes the server, and the server communication is connected with:
the monitoring equipment area setting unit is used for analyzing the mountain area monitored in real time, acquiring the setting position of the monitoring equipment according to analysis, dividing the mountain area into i sub-areas, dividing the sub-areas into a high-risk area and a low-risk area through analysis, analyzing the peripheral area according to the high-risk area, and acquiring the selected placement area around the high-risk area;
the regional monitoring and early warning unit is used for carrying out regional monitoring and early warning on a mountain region, accurately judging the displacement state of the region through historical data analysis, generating a landslide early warning signal through analysis, and sending the landslide early warning signal to mobile phone terminals of residents in the mountain region;
the real-time landslide stage division unit is used for performing landslide stage analysis on a mountain area, marking a monitoring area for generating landslide early warning signals in the mountain area as a landslide area, dividing the landslide area into an active deformation area and a passive deformation area according to the occurrence time analysis of the landslide early warning signals corresponding to the landslide area, dividing the landslide in the mountain area into an initial deformation stage, a stable deformation stage and an accelerated deformation stage through the active deformation area and the passive deformation area analysis, and managing and controlling each stage of the landslide;
and the landslide direction analysis unit is used for analyzing the landslide direction of the landslide area in the mountain area and accurately analyzing the landslide direction.
As a preferred embodiment of the present invention, the operation process of the monitoring device region setting unit is as follows:
collecting the ratio of the vegetation coverage area in each sub-area to the total area of the sub-area, the water content of the soil in the sub-area and the frequency of artificial mining in each sub-area; acquiring a risk analysis coefficient of each subregion through analysis;
comparing the risk analysis coefficient of the sub-region to a risk analysis coefficient threshold:
if the risk analysis coefficient of the sub-region exceeds the risk analysis coefficient threshold value, marking the corresponding sub-region as a low risk region; and if the risk analysis coefficient of the sub-region does not exceed the risk analysis coefficient threshold, marking the corresponding sub-region as a high risk region.
As a preferred embodiment of the present invention, the peripheral area of the high risk area is marked as a preset placement area, the area of the integral connection area between the high risk area and the preset placement area and the tree coverage of the corresponding boundary line between the high risk area and the preset placement area are collected, and the area and the tree coverage are respectively compared with an area threshold of the integral connection area and a tree coverage threshold:
if the area of the integral connection area of the high-risk area and the preset placement area exceeds an integral connection area threshold value, or the tree coverage rate of a corresponding boundary line of the high-risk area and the preset placement area does not exceed a tree coverage rate threshold value, marking the corresponding preset placement area as a selected placement area; if the area of the integral connection area of the high-risk area and the preset placement area does not exceed the area threshold of the integral connection area, and the coverage rate of the trees on the corresponding boundary of the high-risk area and the preset placement area exceeds the coverage rate threshold of the trees, marking the corresponding preset placement area as a non-selected placement area.
As a preferred embodiment of the invention, a high-risk area and a selected placement area in a mountain area are placed with monitoring devices, any position of the high-risk area in the mountain area is placed with the monitoring devices, the high-risk area is set with the monitoring devices corresponding to the selected placement area, the setting positions of the monitoring devices are located in an area where a boundary between the high-risk area and the selected placement area is located, the monitoring devices are located in the selected placement area, and the spacing distance between the position of the monitoring devices and the position of the boundary of the high-risk area is located in a spacing distance threshold range.
As a preferred embodiment of the present invention, the operation process of the regional monitoring and early warning unit is as follows:
marking a high-risk area for placing monitoring equipment in the mountain area and a selected placing area as monitoring areas, acquiring rainfall and environmental temperature values in the current monitoring process of the monitoring areas, and marking the areas as current environmental information; acquiring mountain body surface displacement and mountain body deep displacement in the current monitoring process of a monitoring area, and marking the displacement as current displacement information; collecting environmental information in a historical monitoring process of a monitoring area, and marking the environmental information as historical environmental information; acquiring displacement information in the historical monitoring process of a monitoring area, and marking the displacement information as historical displacement information;
acquiring a numerical value increment of current displacement information of a monitored area relative to historical displacement information, if the corresponding numerical value increment is within an increment threshold range, judging that the landslide risk of the monitored area is low, generating a continuous monitoring signal and sending the continuous monitoring signal to a server;
if the corresponding numerical value increment is not within the increment threshold range, if the corresponding numerical value difference between the current environmental information and the historical environmental information of the corresponding monitoring area exceeds the numerical value difference threshold, judging that the monitoring area is influenced by the environment, generating an environment early warning signal and sending the environment early warning signal to a server, monitoring the current environmental information after the server receives the environment early warning signal, if the environmental information tends to correspond to the qualified numerical value threshold range, but the numerical value increment of the current displacement information does not tend to be reduced, converting the environment early warning signal into a landslide early warning signal, and sending the landslide early warning signal to mobile phone terminals of residents in the mountain area;
and if the corresponding numerical value increment is not within the increment threshold range, if the corresponding numerical value difference between the current environmental information and the historical environmental information of the corresponding monitoring area does not exceed the numerical value difference threshold, judging that the monitoring area has a landslide risk, generating a landslide early warning signal and sending the landslide early warning signal to the server.
As a preferred embodiment of the present invention, the operation process of the real-time landslide stage dividing unit is as follows:
marking a monitoring area for generating a landslide early warning signal in a mountain area as a landslide area, analyzing according to the occurrence moment of the landslide early warning signal corresponding to the landslide area, marking the landslide area after the landslide early warning signal is generated earliest as an active deformation area, marking the monitoring area corresponding to the landslide early warning signal generated at the periphery of the active deformation area as a passive deformation area, and enabling the moment of generating the landslide early warning signal in the passive deformation area to be later than the moment of generating the landslide early warning signal in the active deformation area;
acquiring the number of active deformation areas and the number increase speed reciprocating floating value of the passive deformation areas in the mountain area, and marking the current landslide stage of the mountain area as an initial deformation stage if the number of the active deformation areas in the mountain area does not exceed an area number threshold and the number increase speed reciprocating floating value of the passive deformation areas exceeds a reciprocating floating value threshold;
after an initial deformation stage is carried out in a mountain area, acquiring a quantity value of a passive deformation area and a quantity increasing speed reciprocating floating value of the passive deformation area in the mountain area, and if the quantity value of the passive deformation area exceeds a passive deformation area quantity threshold value and the quantity increasing speed reciprocating floating value of the passive deformation area does not exceed a reciprocating floating value threshold value, marking a current landslide stage of the mountain area as a stable deformation stage; otherwise, the current stage is still in;
after a stable deformation stage is carried out on a mountain, acquiring the quantity increasing speed of active deformation areas and the increasing speed of passive deformation areas in the mountain area, and if any speed of the quantity increasing speed of the active deformation areas and the increasing speed of the passive deformation areas in the mountain area exceeds a corresponding increasing speed threshold value, marking the current landslide stage of the mountain area as an accelerated deformation stage; otherwise, the current stage is still in.
As a preferred embodiment of the present invention, the landslide direction analysis unit operates as follows:
acquiring the real-time positions of the active deformation area and the passive deformation area, and if the altitude of the distribution position of the passive deformation area is higher than that of the active deformation area, taking the area with the most dense distribution of the passive deformation area to the active deformation area as the current landslide direction; if the altitude of the distribution position of the passive deformation area is lower than the position of the active deformation area, the increase speed of the passive deformation area in the mountain area is collected, and if the increase speed of the passive deformation area exceeds an increase speed threshold value, the active deformation area and the area corresponding to the passive deformation area are used as the current landslide direction.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the mountain area monitored in real time is analyzed, the setting position of the monitoring equipment is obtained according to the analysis, the operation efficiency of the monitoring equipment is guaranteed, the landslide monitoring qualification of the mountain area is improved, and the risk of landslide is effectively reduced; the mountain area is subjected to area monitoring and early warning, the displacement state of the area is accurately judged through historical data analysis, the accuracy of the area monitoring and early warning is improved, the timeliness of the mountain displacement early warning in the mountain area is enhanced, and the occurrence probability of mountain landslide is effectively controlled;
2. in the invention, landslide phase analysis is carried out on a mountain area, the current landslide phase is analyzed in real time, the reasonability of landslide control is improved, and the secondary influence after landslide generation is reduced, so that the influence of landslide is reduced to the minimum; landslide direction analysis is carried out on a landslide area in the mountain area, landslide direction is accurately analyzed, pertinence of landslide rescue prevention is improved, influence of landslide is reduced beneficially, and landslide prevention accuracy is improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of the present invention as a whole;
FIG. 2 is a schematic block diagram of embodiment 1 of the present invention;
fig. 3 is a schematic block diagram of embodiment 2 of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a landslide real-time monitoring system based on data analysis comprises a server, wherein the server is in communication connection with a monitoring device region setting unit, a regional monitoring and early warning unit, a real-time landslide stage dividing unit and a landslide direction analysis unit, and is in bidirectional communication connection with the monitoring device region setting unit, the regional monitoring and early warning unit, the real-time landslide stage dividing unit and the landslide direction analysis unit;
example 1
In the landslide monitoring process of the mountain area, monitoring equipment needs to be arranged in the mountain area, and the monitoring equipment is represented by various types of sensors such as displacement sensors, speed sensors and the like, so that the position of the monitoring equipment needs to be accurately set in the landslide monitoring process, and the monitoring efficiency is prevented from being reduced due to the fact that the set position of the monitoring equipment is not appropriate;
referring to fig. 2, a server generates a monitoring device area setting signal and transmits the monitoring device area setting signal to a monitoring device area setting unit, and the monitoring device area setting unit analyzes a mountain area monitored in real time after receiving the monitoring device area setting signal, and acquires a setting position of a monitoring device according to analysis, so that the operation efficiency of the monitoring device is ensured, the landslide monitoring qualification of the mountain area is improved, and the risk of landslide is effectively reduced;
dividing the mountain area into i sub-areas, wherein i is a natural number greater than 1, acquiring the ratio of the vegetation coverage area in each sub-area to the total area of the sub-area and the water content of the soil in the sub-area, and respectively marking the ratio of the vegetation coverage area in each sub-area to the total area of the sub-area and the water content of the soil in the sub-area as MJBi and HSLi; collecting the frequency of artificial mining in each sub-area, and marking the frequency of artificial mining in each sub-area as KCPi;
by the formula
Obtaining risk analysis coefficients Xi of each sub-region, wherein a1, a2 and a3 are all preset proportionality coefficients, a1+ a2+ a3=1.985, and beta is an error correction factor and takes the value of 0.9654;
comparing the risk analysis coefficient Xi of the sub-region with a risk analysis coefficient threshold:
if the risk analysis coefficient Xi of the sub-region exceeds the risk analysis coefficient threshold, judging that the landslide risk of the corresponding sub-region is low, and marking the corresponding sub-region as a low-risk region; if the risk analysis coefficient Xi of the sub-area does not exceed the risk analysis coefficient threshold, judging that the landslide risk of the corresponding sub-area is high, and marking the corresponding sub-area as a high risk area;
the peripheral region mark of the high risk region is a preset placing region, the area of the integral connection region of the high risk region and the preset placing region and the tree coverage rate of the high risk region and the preset placing region corresponding boundary are collected, and the area of the integral connection region of the high risk region and the preset placing region and the tree coverage rate of the high risk region and the preset placing region corresponding boundary are respectively compared with the area threshold of the integral connection region and the tree coverage rate threshold of the tree:
it can be understood that the overall connection area is represented by a rock or ridge and other substances between the high-risk area and the preset placement area, that is, the corresponding rock or ridge connects the two areas, which corresponds to the occupied area of the rock or ridge;
if the area of the integral connection area of the high-risk area and the preset placement area exceeds an area threshold of the integral connection area, or the tree coverage rate of a corresponding boundary line of the high-risk area and the preset placement area does not exceed a tree coverage rate threshold, judging that the influence probability of the corresponding preset placement area is high when the high-risk area has a landslide, and marking the corresponding preset placement area as a selected placement area;
if the area of the integral connection area of the high-risk area and the preset placement area does not exceed the area threshold of the integral connection area, and the tree coverage rate of the corresponding boundary line of the high-risk area and the preset placement area exceeds the tree coverage rate threshold, judging that the affected probability of the corresponding preset placement area is low when the high-risk area landslides, and marking the corresponding preset placement area as a non-selected placement area;
monitoring equipment is placed in a high-risk area and a selected placement area in a mountain area, monitoring equipment is placed at any position of the high-risk area in the mountain area, the monitoring equipment is arranged in the high-risk area corresponding to the selected placement area, the setting position of the monitoring equipment is located in an area where a boundary between the high-risk area and the selected placement area is located, meanwhile, the monitoring equipment is located in the selected placement area, and the spacing distance between the position where the monitoring equipment is located and the position of the boundary of the high-risk area is located in a spacing distance threshold range; the interval distance threshold range is obtained by updating through multiple measurements of people in the field, so that the situation that the landslide monitoring accuracy is low due to the fact that the position of the monitoring device in the selected placement area is too close to the boundary position of the high risk area is prevented, and the situation that the landslide monitoring efficiency is low due to the fact that the position of the monitoring device in the selected placement area is too large to the boundary position of the high risk area is also prevented;
the high-risk area where the monitoring equipment is placed and the selected placement area are correspondingly numbered and sent to the server, the server generates a sub-area monitoring early warning signal and sends the sub-area monitoring early warning signal to the sub-area monitoring early warning unit, the sub-area monitoring early warning unit carries out area monitoring early warning on the mountain area after receiving the sub-area monitoring early warning signal, the area displacement state is accurately judged through historical data analysis, the accuracy of the area monitoring early warning is improved, the timeliness of the mountain displacement early warning in the mountain area is enhanced, and the occurrence probability of mountain landslide is effectively controlled;
marking a high risk area for placing monitoring equipment in the mountain area and a selected placing area as monitoring areas, acquiring rainfall and environmental temperature values in the current monitoring process of the monitoring areas, and marking the areas as current environmental information; acquiring mountain body surface displacement and mountain body deep displacement in the current monitoring process of a monitored area, and marking the displacement as current displacement information;
collecting environmental information in the historical monitoring process of a monitoring area, and marking the environmental information as historical environmental information; acquiring displacement information in a historical monitoring process of a monitoring area, and marking the displacement information as historical displacement information;
acquiring a value increment of current displacement information of a monitored area relative to historical displacement information, if the corresponding value increment is within an increment threshold range, judging that the landslide risk of the monitored area is low, generating a continuous monitoring signal and sending the continuous monitoring signal to a server; if the corresponding numerical value increment is not within the increment threshold range, if the corresponding numerical value difference between the current environmental information and the historical environmental information of the corresponding monitoring area exceeds the numerical value difference threshold, judging that the monitoring area is influenced by the environment, generating an environment early warning signal and sending the environment early warning signal to a server, monitoring the current environmental information after the server receives the environment early warning signal, if the environmental information tends to correspond to the qualified numerical value threshold range, but the numerical value increment of the current displacement information does not tend to be reduced, converting the environment early warning signal into a landslide early warning signal, and sending the landslide early warning signal to mobile phone terminals of residents in the mountain area;
if the corresponding numerical value increment is not within the increment threshold range, if the corresponding numerical value difference value of the current environmental information and the historical environmental information of the corresponding monitoring area does not exceed the numerical value difference threshold, judging that the monitoring area has landslide risk, generating a landslide early warning signal and sending the landslide early warning signal to a server;
it can be understood that, in the process of correspondingly comparing the displacement information with the environmental information, both the historical displacement information and the data in the current displacement information are correspondingly compared; comparing the historical environmental information with the data in the current environmental information correspondingly;
example 2
After landslide risk is monitored in the mountain area, monitoring the landslide area of the mountain area while early warning and evacuation are carried out on residents in the mountain area; referring to fig. 3, a server generates a real-time landslide stage division signal and sends the real-time landslide stage division signal to a real-time landslide stage division unit, the real-time landslide stage division unit performs landslide stage analysis on a mountain area after receiving the real-time landslide stage division signal, and analyzes a stage where a current landslide is located in real time, so that the rationality of landslide control is improved, secondary influence after landslide generation is reduced, and influence of landslide is reduced to the minimum;
marking a monitoring area for generating a landslide early warning signal in a mountain area as a landslide area, analyzing according to the occurrence moment of the landslide early warning signal corresponding to the landslide area, marking the landslide area after the landslide early warning signal is generated earliest as an active deformation area, marking the monitoring area corresponding to the landslide early warning signal generated at the periphery of the active deformation area as a passive deformation area, and enabling the moment of generating the landslide early warning signal in the passive deformation area to be later than the moment of generating the landslide early warning signal in the active deformation area;
acquiring the number of active deformation areas and the number increase speed reciprocating floating value of the passive deformation areas in the mountain area, and marking the current landslide stage of the mountain area as an initial deformation stage if the number of the active deformation areas in the mountain area does not exceed an area number threshold and the number increase speed reciprocating floating value of the passive deformation areas exceeds a reciprocating floating value threshold;
after an initial deformation stage is carried out in a mountain area, acquiring a quantity value of a passive deformation area and a quantity increase speed reciprocating floating value of the passive deformation area in the mountain area, and if the quantity value of the passive deformation area exceeds a passive deformation area quantity threshold value and the quantity increase speed reciprocating floating value of the passive deformation area does not exceed a reciprocating floating value threshold value, marking a current landslide stage of the mountain area as a stable deformation stage; otherwise, the current stage is still in;
after a stable deformation stage is carried out on a mountain, acquiring the quantity increasing speed of active deformation areas and the increasing speed of passive deformation areas in the mountain area, and if any speed of the quantity increasing speed of the active deformation areas and the increasing speed of the passive deformation areas in the mountain area exceeds a corresponding increasing speed threshold value, marking the current landslide stage of the mountain area as an accelerated deformation stage; otherwise, the current stage is still in;
when the mountain area is in the initial deformation stage, the residents can be evacuated and the mountain area can be manually prevented and controlled; when the mountain area is in a stable deformation stage, resident rescue can be carried out on the mountain area; when the mountain area is in an accelerated deformation stage, resident rescue cannot be carried out on the mountain area; different treatments are carried out at different stages, the landslide state is monitored in real time, and secondary damage caused by landslide is prevented;
the server generates a landslide direction analysis signal and sends the landslide direction analysis signal to the landslide direction analysis unit, and the landslide direction analysis unit analyzes the landslide direction of a landslide area in a mountain area after receiving the landslide direction signal, accurately analyzes the landslide direction, improves pertinence of landslide rescue precaution, is beneficial to reducing influence of landslide and improves accuracy of landslide prevention;
acquiring the real-time positions of an active deformation area and a passive deformation area, and if the altitude of the distribution position of the passive deformation area is higher than that of the active deformation area, taking the area with the most dense distribution of the passive deformation area to the active deformation area as the current landslide direction; if the altitude of the distribution position of the passive deformation region is lower than the position of the active deformation region, acquiring the growth speed of the passive deformation region in the mountain area, and if the growth speed of the passive deformation region exceeds a growth speed threshold value, taking the active deformation region and the region corresponding to the passive deformation region as the current landslide direction; and sending the landslide direction to a server, and carrying out early warning rescue on the landslide direction in a targeted manner after the server receives the landslide direction.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the mountain area selecting and placing device is used, a mountain area monitored in real time is analyzed through the monitoring device area setting unit, the setting position of the monitoring device is obtained according to analysis, the mountain area is divided into i sub-areas, the sub-areas are divided into a high-risk area and a low-risk area through analysis, peripheral area analysis is carried out according to the high-risk area, and a selected placing area around the high-risk area is obtained; the mountain area is subjected to area monitoring and early warning through the area monitoring and early warning unit, the area displacement state is accurately judged through historical data analysis, a landslide early warning signal is generated through analysis, and the landslide early warning signal is sent to a mobile phone terminal of a resident in the mountain area; the landslide stage analysis method comprises the steps that a landslide stage analysis is carried out on a mountain area through a real-time landslide stage division unit, a monitoring area for generating landslide early warning signals in the mountain area is marked as a landslide area, the landslide area is divided into an active deformation area and a passive deformation area according to the occurrence time of the landslide early warning signals corresponding to the landslide area, the landslide area in the mountain area is divided into an initial deformation stage, a stable deformation stage and an accelerated deformation stage through the active deformation area and the passive deformation area, and management and control are carried out on each stage of the landslide; and the landslide direction analysis unit is used for analyzing the landslide direction of the landslide area in the mountain area, and the landslide direction is accurately analyzed.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. The utility model provides a landslide real-time monitoring system based on data analysis which characterized in that, includes the server, and the server communication is connected with:
the monitoring equipment area setting unit is used for analyzing the mountain area monitored in real time, acquiring the setting position of the monitoring equipment according to analysis, dividing the mountain area into i sub-areas, dividing the sub-areas into a high-risk area and a low-risk area through analysis, analyzing the peripheral area according to the high-risk area, and acquiring the selected placement area around the high-risk area;
the regional monitoring and early warning unit is used for carrying out regional monitoring and early warning on the mountain region, accurately judging the displacement state of the region through historical data analysis, generating a landslide early warning signal through analysis and sending the landslide early warning signal to a mobile phone terminal of a resident in the mountain region;
the real-time landslide stage dividing unit is used for analyzing a landslide stage of a mountain area, marking a monitoring area for generating a landslide early warning signal in the mountain area as a landslide area, dividing the landslide area into an active deformation area and a passive deformation area according to the occurrence time of the landslide early warning signal corresponding to the landslide area, dividing the landslide of the mountain area into an initial deformation stage, a stable deformation stage and an accelerated deformation stage through the analysis of the active deformation area and the passive deformation area, and managing and controlling each stage of the landslide;
and the landslide direction analysis unit is used for analyzing the landslide direction of the landslide area in the mountain area and accurately analyzing the landslide direction.
2. The system for real-time monitoring landslide based on data analysis of claim 1, wherein the operation process of the monitoring device region setting unit is as follows:
collecting the ratio of the vegetation coverage area in each sub-area to the total area of the sub-area, the water content of the soil in the sub-area and the frequency of artificial mining in each sub-area; acquiring a risk analysis coefficient of each subregion through analysis; comparing the risk analysis coefficient of the sub-region to a risk analysis coefficient threshold:
if the risk analysis coefficient of the sub-region exceeds the risk analysis coefficient threshold value, marking the corresponding sub-region as a low risk region; and if the risk analysis coefficient of the sub-region does not exceed the risk analysis coefficient threshold, marking the corresponding sub-region as a high risk region.
3. The landslide real-time monitoring system based on data analysis of claim 2, wherein a peripheral area of the high risk area is marked as a preset placement area, an integral connection area of the high risk area and the preset placement area and a tree coverage rate of a corresponding boundary line of the high risk area and the preset placement area are collected and compared with an integral connection area threshold and a tree coverage rate threshold respectively:
if the area of the integral connection area of the high-risk area and the preset placement area exceeds an area threshold of the integral connection area, or the tree coverage rate of a corresponding boundary line of the high-risk area and the preset placement area does not exceed a tree coverage rate threshold, marking the corresponding preset placement area as a selected placement area; if the area of the integral connection area of the high-risk area and the preset placement area does not exceed the area threshold of the integral connection area, and the coverage rate of the trees on the corresponding boundary of the high-risk area and the preset placement area exceeds the coverage rate threshold of the trees, marking the corresponding preset placement area as a non-selected placement area.
4. The landslide real-time monitoring system based on data analysis as claimed in claim 3, wherein monitoring devices are placed in a high risk area and a selected placement area in the mountain area, any position of the high risk area in the mountain area is placed, the monitoring device is arranged corresponding to the selected placement area in the high risk area, the monitoring device is arranged in a boundary area corresponding to the high risk area and the selected placement area, the monitoring device is arranged in the selected placement area, and the spacing distance between the position of the monitoring device and the boundary of the high risk area is within a spacing distance threshold range.
5. The landslide real-time monitoring system based on data analysis of claim 1, wherein the operation process of the regional monitoring and early warning unit is as follows:
marking a high-risk area for placing monitoring equipment in the mountain area and a selected placing area as monitoring areas, acquiring rainfall and environmental temperature values in the current monitoring process of the monitoring areas, and marking the areas as current environmental information; acquiring mountain body surface displacement and mountain body deep displacement in the current monitoring process of a monitoring area, and marking the displacement as current displacement information; collecting environmental information in the historical monitoring process of a monitoring area, and marking the environmental information as historical environmental information; acquiring displacement information in the historical monitoring process of a monitoring area, and marking the displacement information as historical displacement information;
acquiring a value increment of current displacement information of a monitored area relative to historical displacement information, if the corresponding value increment is within an increment threshold range, judging that the landslide risk of the monitored area is low, generating a continuous monitoring signal and sending the continuous monitoring signal to a server;
if the corresponding numerical value increment is not within the increment threshold range, if the corresponding numerical value difference between the current environmental information and the historical environmental information of the corresponding monitoring area exceeds the numerical value difference threshold, judging that the monitoring area is influenced by the environment, generating an environment early warning signal and sending the environment early warning signal to a server, monitoring the current environmental information after the server receives the environment early warning signal, if the environmental information tends to correspond to the qualified numerical value threshold range, but the numerical value increment of the current displacement information does not tend to be reduced, converting the environment early warning signal into a landslide early warning signal, and sending the landslide early warning signal to mobile phone terminals of residents in the mountain area;
and if the corresponding numerical value increment is not within the increment threshold range, if the corresponding numerical value difference between the current environmental information and the historical environmental information of the corresponding monitoring area does not exceed the numerical value difference threshold, judging that the monitoring area has a landslide risk, generating a landslide early warning signal and sending the landslide early warning signal to the server.
6. The landslide real-time monitoring system based on data analysis of claim 1, wherein the real-time landslide stage partitioning unit operates as follows:
marking a monitoring area for generating a landslide early warning signal in a mountain area as a landslide area, analyzing according to the occurrence moment of the landslide early warning signal corresponding to the landslide area, marking the landslide area after the landslide early warning signal is generated earliest as an active deformation area, marking the monitoring area corresponding to the landslide early warning signal generated at the periphery of the active deformation area as a passive deformation area, and enabling the moment of generating the landslide early warning signal in the passive deformation area to be later than the moment of generating the landslide early warning signal in the active deformation area;
acquiring the number of active deformation areas and the number increase speed reciprocating floating value of the passive deformation areas in the mountain area, and marking the current landslide stage of the mountain area as an initial deformation stage if the number of the active deformation areas in the mountain area does not exceed an area number threshold and the number increase speed reciprocating floating value of the passive deformation areas exceeds a reciprocating floating value threshold;
after an initial deformation stage is carried out in a mountain area, acquiring a quantity value of a passive deformation area and a quantity increasing speed reciprocating floating value of the passive deformation area in the mountain area, and if the quantity value of the passive deformation area exceeds a passive deformation area quantity threshold value and the quantity increasing speed reciprocating floating value of the passive deformation area does not exceed a reciprocating floating value threshold value, marking a current landslide stage of the mountain area as a stable deformation stage; otherwise, the current stage is still in;
after a stable deformation stage is carried out on a mountain, acquiring the quantity increasing speed of active deformation areas and the increasing speed of passive deformation areas in the mountain area, and if any speed of the quantity increasing speed of the active deformation areas and the increasing speed of the passive deformation areas in the mountain area exceeds a corresponding increasing speed threshold value, marking the current landslide stage of the mountain area as an accelerated deformation stage; otherwise, the current stage is still in.
7. The landslide real-time monitoring system based on data analysis of claim 1, wherein the landslide direction analysis unit operates as follows:
acquiring the real-time positions of the active deformation area and the passive deformation area, and if the altitude of the distribution position of the passive deformation area is higher than that of the active deformation area, taking the area with the most dense distribution of the passive deformation area to the active deformation area as the current landslide direction; if the altitude of the distribution position of the passive deformation area is lower than the position of the active deformation area, the increasing speed of the passive deformation area in the mountain area is acquired, and if the increasing speed of the passive deformation area exceeds a increasing speed threshold value, the active deformation area and the area corresponding to the passive deformation area are used as the current landslide direction.
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