CN116504031B - Monitoring data processing method for landslide - Google Patents
Monitoring data processing method for landslide Download PDFInfo
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- CN116504031B CN116504031B CN202310767064.3A CN202310767064A CN116504031B CN 116504031 B CN116504031 B CN 116504031B CN 202310767064 A CN202310767064 A CN 202310767064A CN 116504031 B CN116504031 B CN 116504031B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 81
- 238000003672 processing method Methods 0.000 title claims abstract description 14
- 238000012545 processing Methods 0.000 claims abstract description 106
- 238000003860 storage Methods 0.000 claims abstract description 26
- 238000004458 analytical method Methods 0.000 claims description 34
- 230000002776 aggregation Effects 0.000 claims description 33
- 238000004220 aggregation Methods 0.000 claims description 33
- 238000000034 method Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 3
- 238000012806 monitoring device Methods 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 abstract description 2
- 239000002689 soil Substances 0.000 description 11
- 239000000523 sample Substances 0.000 description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 6
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- 238000003973 irrigation Methods 0.000 description 2
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- 239000011435 rock Substances 0.000 description 2
- 230000007123 defense Effects 0.000 description 1
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- 238000012216 screening Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/23—Dune restoration or creation; Cliff stabilisation
Abstract
The invention belongs to the field of landslide, relates to a data processing technology, and is used for solving the problem that monitoring data and actual landslide risk are not matched due to incapability of regularly analyzing landslide characteristics in historical data in a landslide monitoring data processing method in the prior art, and particularly relates to a monitoring data processing method for the landslide, which comprises the following steps: processing and analyzing historical data of landslide: marking all slopes with landslide as processing objects, acquiring main slope characteristics and switching characteristics of the height section, forming standard characteristics of the height section by the main slope characteristics and the switching characteristics, and transmitting the standard characteristics of all the height section to a storage module for storage through a data processing platform; according to the landslide monitoring device, the erection mode of the landslide monitoring device is analyzed, so that the monitoring device is reasonably distributed, the fitting degree of monitoring data and the actual landslide risk of the landslide is further improved, and the accuracy of the landslide monitoring result is improved.
Description
Technical Field
The invention belongs to the field of landslide, relates to a data processing technology, and particularly relates to a monitoring data processing method for landslide.
Background
Landslide refers to the action and phenomenon that a certain part of rock and soil on a mountain slope generates shearing displacement along a certain weak structural surface to integrally move downwards along the slope under the action of gravity, and is commonly called as mountain walking, mountain collapse, land sliding, soil sliding and the like, and is one of common geological disasters;
in the landslide monitoring method in the prior art, monitoring equipment is installed in a uniform erection mode when the monitoring equipment is erected, however, the landslide probability of each area of the same mountain is different, regular analysis on landslide features in historical data cannot be performed, and the risk of unmatched monitoring data and actual landslide of the mountain can be caused by blind adoption of the uniform erection mode, so that hidden danger of landslide of the mountain cannot be effectively monitored;
in view of the above technical problems, a solution is proposed.
Disclosure of Invention
The invention aims to provide a monitoring data processing method for landslide, which is used for solving the problem that monitoring data and actual landslide risk of a mountain are not matched due to the fact that the landslide characteristics in historical data cannot be regularly analyzed in the monitoring data processing method for landslide in the prior art.
The technical problems to be solved by the invention are as follows: how to provide a landslide monitoring data processing method capable of carrying out erection processing on landslide monitoring equipment by adopting a plurality of erection modes.
The aim of the invention can be achieved by the following technical scheme:
a monitoring data processing method for landslide, comprising the steps of:
step one: processing and analyzing historical data of landslide: marking all slopes with landslide as processing objects, acquiring height values of the processing objects, forming a height range by the highest value of the height values and the lowest value of the height values, dividing the height range into a plurality of height sections, acquiring main slope characteristics and switching characteristics of the height sections, forming standard characteristics of the height sections by the main slope characteristics and the switching characteristics, and transmitting the standard characteristics of all the height sections to a storage module for storage through a data processing platform;
step two: analyzing the erection mode of monitoring equipment of landslide: marking a slope body of monitoring equipment to be erected as an erection object; acquiring characteristic parameters of an erection object, acquiring a height value of the erection object, acquiring a height interval corresponding to the height value of the erection object through a storage module, comparing standard characteristics of the height interval with characteristic parameters of all characteristic lines, and marking the erection mode as a centralized mode or a uniform mode through a comparison result;
step three: and erecting and executing the processing on the monitoring equipment of the landslide according to the erection mode.
As a preferred embodiment of the present invention, the process of acquiring the main slope characteristics of the altitude section includes: dividing a gradient value of 0-45 into L1 gradient sections, dividing a processing line into a plurality of dividing line sections according to the gradient sections, marking the gradient section switching times of the processing line as a switching value of a processing object, marking an average value of a maximum boundary value and a minimum boundary value of the gradient section as a main gradient value of the gradient section, marking the number of dividing line sections with gradient values in the gradient section and the total length value of the dividing line sections as FS and FC respectively, and carrying out numerical calculation on the FS and the FC to obtain a main gradient coefficient ZP of the gradient section; and marking the gradient section with the maximum value of the main gradient coefficient ZP as the main gradient section of the processing object.
As a preferred embodiment of the present invention, the process of acquiring the switching characteristics of the altitude section includes: marking a slope line where the highest point of the landslide position of the processing object in the height section is located as a processing line, sorting all the processing objects in the height section from big to small according to the switching values, performing variance calculation on all the switching values to obtain a switching coefficient, removing the processing object with the first sorting, performing variance calculation on the switching values of the rest processing objects to obtain a deviation coefficient, marking the absolute value of the difference value between the switching coefficient and the deviation coefficient as an aggregation value, acquiring an aggregation threshold value through a storage module, and comparing the aggregation value with the aggregation threshold value:
if the aggregation value is smaller than or equal to the aggregation threshold value, rejecting the second-ordered processing object and continuously recalculating the aggregation value for the rest processing objects until the aggregation value is larger than the aggregation threshold value, and forming a switching characteristic by the maximum value and the minimum value of the switching value in the rejected processing objects;
if the aggregation value is larger than the aggregation threshold value, the first processing object switching value before the removal and the first processing object switching value after the removal form a switching characteristic.
In a preferred embodiment of the present invention, the process of obtaining the characteristic parameter of the erection object includes: randomly selecting a view angle, performing image shooting on the erected object at the position with the front side distance of L1 m to obtain an analysis image, rotating the view angle counterclockwise for seven times, performing image shooting after each rotation to obtain eight groups of analysis images, deleting mirror images in the eight groups of analysis images to obtain four groups of analysis images, acquiring slope lines of the erected object in the four groups of analysis images, marking the slope lines as characteristic lines, and acquiring characteristic parameters of the characteristic lines, wherein the characteristic parameters comprise switching values of the slope lines and a main slope coefficient ZP.
As a preferred embodiment of the present invention, the specific process of comparing the standard feature of the altitude interval with the feature parameters of all feature lines includes:
if the characteristic lines with the characteristic parameters matched with the standard characteristics exist, marking the erection mode as a centralized mode, and marking an analysis area where the corresponding characteristic lines are located as a centralized area;
if no characteristic line with the characteristic parameters matched with the standard characteristics exists, marking the erection mode as a uniform mode.
As a preferred embodiment of the present invention, the dividing process of the analysis area includes: all the characteristic lines are rotated by 22.5 degrees anticlockwise to obtain regional lines, and the analysis region is formed by the land intercepted by two adjacent regional lines on the surface of the slope body of the erection object.
As a preferred embodiment of the present invention, the concrete process of setting up the monitoring device for landslide includes:
when monitoring equipment is installed on an erection object in a centralized mode, the number of centralized areas of the erection object is obtained and marked as a centralized value, a centralized threshold value is obtained through a storage module, and the centralized value is compared with the centralized threshold value: if the centralized value is greater than or equal to the centralized threshold value, judging that the erection requirement of the erection object does not meet the requirement, and sending an equipment adding signal to the data processing platform by the erection execution module, wherein the data processing platform receives the equipment adding signal and then sends the equipment adding signal to a mobile phone terminal of a manager; if the concentration value is smaller than the concentration threshold value, uniformly erecting one half of the monitoring equipment in all the concentration areas, and uniformly erecting the remaining one half of the monitoring equipment in all the non-concentration areas;
when the monitoring equipment is installed on the erection object in a uniform mode, all the monitoring equipment is uniformly erected in all the analysis areas.
As a preferred implementation mode of the invention, the system is applied to a monitoring data processing system of landslide and comprises a data processing platform, wherein the data processing platform is in communication connection with an erection analysis module, a data processing module, an erection execution module and a storage module;
the erection analysis module is used for analyzing the erection mode of the monitoring equipment of the landslide and marking the erection mode;
the data processing module is used for processing and analyzing historical data of landslide and obtaining standard characteristics of a height section;
the erection execution module is used for carrying out erection execution processing on monitoring equipment of landslide according to an erection mode.
The invention has the following beneficial effects:
1. the erection analysis module can analyze the erection mode of the landslide monitoring equipment, and the regional landslide risk of an erection object is monitored by acquiring the characteristic parameters, so that the landslide is scientifically divided into areas, the monitoring equipment is reasonably distributed, the monitoring resources are inclined in the area with higher landslide risk of the same landslide, the fitting degree of monitoring data and the actual landslide risk of the landslide is further improved, and the accuracy of the landslide monitoring result is improved;
2. the historical data of the landslide can be processed and analyzed through the data processing module, the distribution state of the slope lines of the processing objects in the height section is analyzed to obtain switching characteristics and main slope characteristics, the landslide probability of the height section is fed back according to the switching characteristics and the main slope characteristics, and then the erection mode selection is carried out on the landslide with different heights and characteristic parameters;
3. the erection execution module can carry out erection execution processing on monitoring equipment of landslide of a mountain according to an erection mode, when obvious differences exist in landslide risks of different areas on the same mountain, the centralized mode is adopted for carrying out resource inclined distribution, otherwise, the uniform mode is adopted for carrying out resource average distribution, so that monitoring data of the monitoring equipment are attached to actual landslide risks of the mountain to the greatest extent.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, the monitoring data processing system for landslide comprises a data processing platform, wherein the data processing platform is in communication connection with an erection analysis module, a data processing module, an erection execution module and a storage module.
The erection analysis module is used for analyzing the erection mode of the monitoring equipment of the landslide: marking a slope body of monitoring equipment to be erected as an erection object; obtaining characteristic parameters of an erection object: randomly selecting a view angle, performing image shooting on the erected object at the position with the front side distance of L1 m to obtain an analysis image, rotating the view angle anticlockwise for seven times, performing image shooting after each rotation to obtain eight groups of analysis images, deleting mirror images in the eight groups of analysis images to obtain four groups of analysis images, acquiring slope lines of the erected object in the four groups of analysis images, marking the slope lines as characteristic lines, and acquiring characteristic parameters of the characteristic lines, wherein the characteristic parameters comprise switching values of the slope lines and a main slope coefficient ZP; all the characteristic lines are rotated by 22.5 degrees anticlockwise to obtain regional lines, an analysis region is formed by lands intercepted by two adjacent regional lines on the surface of the slope of the erection object, a height value of the erection object is obtained, a height interval corresponding to the height value of the erection object is obtained through a storage module, standard characteristics of the height interval are compared with characteristic parameters of all the characteristic lines, if the characteristic lines with the characteristic parameters matched with the standard characteristics exist, the erection mode is marked as a concentration mode, and the analysis region where the corresponding characteristic lines are located is marked as a concentration region; if no characteristic line with characteristic parameters matched with standard characteristics exists, marking the erection mode as a uniform mode; the method comprises the steps that an erection mode of an erection object is sent to a data processing platform, and after the data processing platform receives the erection mode, the erection mode is sent to an erection execution module; the landslide monitoring equipment erection mode is analyzed, regional landslide risks of erection objects are monitored by acquiring characteristic parameters, so that the landslide is scientifically divided into areas, monitoring equipment is reasonably distributed, the monitoring resource inclination is carried out in areas with higher landslide risks of the same landslide, the fitting degree of monitoring data and actual landslide risks of the landslide is further improved, and the accuracy of landslide monitoring results is improved.
The data processing module is used for processing and analyzing historical data of landslide: marking all slopes with landslide as processing objects, acquiring height values of the processing objects, forming a height range by the highest value of the height values and the lowest value of the height values, dividing the height range into a plurality of height sections, marking slope lines of the highest points of the landslide positions of the processing objects in the height sections as processing lines, dividing slope values of 0-45 into L1 slope sections, wherein L1 is a numerical constant, and the specific numerical value of L1 is set by a manager; dividing a processing line into a plurality of divided line segments according to a gradient section, marking the gradient section switching times of the processing line as a switching value of a processing object, marking an average value of a maximum boundary value and a minimum boundary value of the gradient section as a main gradient value of the gradient section, marking the number of the divided line segments with gradient values in the gradient section and the total length value of the divided line segments as FS and FC respectively, and obtaining a main gradient coefficient ZP of the gradient section through a formula ZP=α1FS+α2x FC, wherein α1 and α2 are proportionality coefficients, and α1 > α2 > 1; marking a gradient section with the maximum value of the main gradient coefficient ZP as a main gradient section of the processing object, and marking a gradient section with the maximum occurrence times of the main gradient section in all the processing objects as a main gradient characteristic of a height section; sorting all the processing objects in the height interval from large to small according to the switching values, performing variance calculation on all the switching values to obtain switching coefficients, removing the processing objects in the first sorting, performing variance calculation on the switching values of the rest processing objects to obtain deviation coefficients, marking the absolute value of the difference between the switching coefficients and the deviation coefficients as an aggregation value, acquiring an aggregation threshold value through a storage module, and comparing the aggregation value with the aggregation threshold value: if the aggregation value is smaller than or equal to the aggregation threshold value, rejecting the second-ordered processing object and continuously recalculating the aggregation value for the rest processing objects until the aggregation value is larger than the aggregation threshold value, and forming a switching characteristic by the maximum value and the minimum value of the switching value in the rejected processing objects; if the aggregation value is larger than the aggregation threshold value, forming a switching characteristic by the first processing object switching value sequenced before the removal and the first processing object switching value sequenced after the removal; the main slope characteristics and the switching characteristics form standard characteristics of the height interval, and the standard characteristics of all the height intervals are sent to a storage module for storage through a data processing platform; and processing and analyzing historical data of the landslide, analyzing the distribution state of the slope lines of the processing objects in the height section to obtain switching characteristics and main slope characteristics, feeding back the landslide probability of the height section according to the switching characteristics and the main slope characteristics, and further selecting erection modes of the landslide with different heights and characteristic parameters.
The erection execution module is used for carrying out erection execution processing on monitoring equipment of landslide according to an erection mode: when monitoring equipment is installed on an erection object in a centralized mode, the number of centralized areas of the erection object is obtained and marked as a centralized value, a centralized threshold value is obtained through a storage module, and the centralized value is compared with the centralized threshold value: if the centralized value is greater than or equal to the centralized threshold value, judging that the erection requirement of the erection object does not meet the requirement, and sending an equipment adding signal to the data processing platform by the erection execution module, wherein the data processing platform receives the equipment adding signal and then sends the equipment adding signal to a mobile phone terminal of a manager; if the concentration value is smaller than the concentration threshold value, uniformly erecting one half of the monitoring equipment in all the concentration areas, and uniformly erecting the remaining one half of the monitoring equipment in all the non-concentration areas; the monitoring equipment comprises a soil moisture tester, a rainfall sensor, a fixed inclinometer and the like; the soil moisture is an important component of the soil, plays a very important role in the growth of crops, water-saving irrigation and the like, grasps the distribution condition of the soil moisture through a GPS positioning system, provides scientific basis for differentiated water-saving irrigation, and simultaneously is beneficial to improving the yield and quality of the crops by accurate water supply; the soil moisture meter emits electromagnetic waves with certain frequency, the electromagnetic waves are transmitted along the probe, the electromagnetic waves return after reaching the bottom, the voltage output by the probe is detected, and the water content of the soil can be calculated according to the relation between the output voltage and the water content because the change of the dielectric constant of the soil depends on the water content of the soil; the rainfall sensor is suitable for relevant departments such as weather stations, hydrologic stations, agriculture and forestry, national defense and the like to remotely measure the liquid precipitation, the precipitation intensity and the precipitation start-stop time, is used for flood control, water supply scheduling and power station reservoir water regime management as a hydrologic automatic measuring and reporting system and an automatic field measuring and reporting station, and is a precipitation measuring sensor; the fixed inclinometer is widely used for observing the horizontal direction change of the inside of soil bodies such as mountain slopes, earth and rock dams, sea side embankments, building foundation pits and the like, and changes the mode that the portable inclinometer has to monitor manually; wireless automatic monitoring can be realized for remote areas; the device is a necessary precise measuring instrument for projects such as ports, railways, highways, high-rise buildings and the like. When monitoring equipment is installed on an erection object in a uniform mode, all monitoring equipment is uniformly erected in all analysis areas; and (3) erecting and executing the monitoring equipment of landslide according to the erection mode, when obvious differences exist in landslide risks of different areas on the same landslide, performing resource inclined allocation by adopting a centralized mode, otherwise, performing resource average allocation by adopting a uniform mode, so that the monitoring data of the monitoring equipment are attached to the actual landslide risks of the landslide to the greatest extent.
Example two
As shown in fig. 2, a monitoring data processing method for landslide includes the steps of:
step one: processing and analyzing historical data of landslide: marking all slopes with landslide as processing objects, acquiring height values of the processing objects, forming a height range by the highest value of the height values and the lowest value of the height values, dividing the height range into a plurality of height sections, acquiring main slope characteristics and switching characteristics of the height sections, forming standard characteristics of the height sections by the main slope characteristics and the switching characteristics, transmitting the standard characteristics of all the height sections to a storage module for storage through a data processing platform, and feeding back landslide probability of the height sections according to the switching characteristics and the main slope characteristics;
step two: analyzing the erection mode of monitoring equipment of landslide: marking a slope body of monitoring equipment to be erected as an erection object; acquiring characteristic parameters of an erection object, acquiring a height value of the erection object, acquiring a height interval corresponding to the height value of the erection object through a storage module, comparing standard characteristics of the height interval with characteristic parameters of all characteristic lines, marking the erection mode as a centralized mode or a uniform mode through a comparison result, scientifically dividing the slope body, and reasonably distributing monitoring equipment;
step three: and (3) erecting monitoring equipment of landslide according to an erection mode, performing erection execution treatment, and performing resource inclined allocation by adopting a centralized mode when obvious differences exist in landslide risks of different areas on the same mountain, or performing resource average allocation by adopting a uniform mode.
The monitoring data processing method for landslide comprises the steps of during operation, processing and analyzing historical data of the landslide: marking all slopes with landslide as processing objects, acquiring height values of the processing objects, forming a height range by the highest value of the height values and the lowest value of the height values, dividing the height range into a plurality of height sections, acquiring main slope characteristics and switching characteristics of the height sections, forming standard characteristics of the height sections by the main slope characteristics and the switching characteristics, and transmitting the standard characteristics of all the height sections to a storage module for storage through a data processing platform; and then analyzing the erection mode of the monitoring equipment of landslide: marking a slope body of monitoring equipment to be erected as an erection object; acquiring characteristic parameters of an erection object, acquiring a height value of the erection object, acquiring a height interval corresponding to the height value of the erection object through a storage module, comparing standard characteristics of the height interval with characteristic parameters of all characteristic lines, and marking the erection mode as a centralized mode or a uniform mode through a comparison result; and finally, erecting and executing treatment on the landslide monitoring equipment according to the erection mode.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula zp=α1×fs+α2×fc; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding main slope coefficient for each group of sample data; substituting the set main slope coefficient and the acquired sample data into a formula, forming a binary primary equation set by any two formulas, screening the calculated coefficient and taking an average value to obtain values of alpha 1 and alpha 2 which are respectively 4.28 and 3.15;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding main slope coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the main slope coefficient is proportional to the value of the number of the segments.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form 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 understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (5)
1. The monitoring data processing method for landslide is characterized by comprising the following steps of:
step one: processing and analyzing historical data of landslide: marking all slopes with landslide as processing objects, acquiring height values of the processing objects, forming a height range by the highest value of the height values and the lowest value of the height values, dividing the height range into a plurality of height sections, acquiring main slope characteristics and switching characteristics of the height sections, forming standard characteristics of the height sections by the main slope characteristics and the switching characteristics, and transmitting the standard characteristics of all the height sections to a storage module for storage through a data processing platform;
step two: analyzing the erection mode of monitoring equipment of landslide: marking a slope body of monitoring equipment to be erected as an erection object; acquiring characteristic parameters of an erection object, acquiring a height value of the erection object, acquiring a height interval corresponding to the height value of the erection object through a storage module, comparing standard characteristics of the height interval with characteristic parameters of all characteristic lines, and marking the erection mode as a centralized mode or a uniform mode through a comparison result;
step three: erecting monitoring equipment of landslide according to the erection mode and executing treatment;
the process for acquiring the main slope characteristics of the altitude interval comprises the following steps: dividing a gradient value of 0-45 into L1 gradient sections, dividing a processing line into a plurality of dividing line sections according to the gradient sections, marking the gradient section switching times of the processing line as a switching value of a processing object, marking an average value of a maximum boundary value and a minimum boundary value of the gradient section as a main gradient value of the gradient section, marking the number of dividing line sections with gradient values in the gradient section and the total length value of the dividing line sections as FS and FC respectively, and carrying out numerical calculation on the FS and the FC to obtain a main gradient coefficient ZP of the gradient section; marking a gradient section with the maximum value of the main gradient coefficient ZP as a main gradient section of a processing object;
the process for acquiring the switching characteristics of the altitude interval comprises the following steps: marking a slope line where the highest point of the landslide position of the processing object in the height section is located as a processing line, sorting all the processing objects in the height section from big to small according to the switching values, performing variance calculation on all the switching values to obtain a switching coefficient, removing the processing object with the first sorting, performing variance calculation on the switching values of the rest processing objects to obtain a deviation coefficient, marking the absolute value of the difference value between the switching coefficient and the deviation coefficient as an aggregation value, acquiring an aggregation threshold value through a storage module, and comparing the aggregation value with the aggregation threshold value:
if the aggregation value is smaller than or equal to the aggregation threshold value, rejecting the second-ordered processing object and continuously recalculating the aggregation value for the rest processing objects until the aggregation value is larger than the aggregation threshold value, and forming a switching characteristic by the maximum value and the minimum value of the switching value in the rejected processing objects;
if the aggregation value is larger than the aggregation threshold value, forming a switching characteristic by the first processing object switching value sequenced before the removal and the first processing object switching value sequenced after the removal;
the process for acquiring the characteristic parameters of the erection object comprises the following steps: randomly selecting a view angle, performing image shooting on the erected object at the position with the front side distance of L1 m to obtain an analysis image, rotating the view angle counterclockwise for seven times, performing image shooting after each rotation to obtain eight groups of analysis images, deleting mirror images in the eight groups of analysis images to obtain four groups of analysis images, acquiring slope lines of the erected object in the four groups of analysis images, marking the slope lines as characteristic lines, and acquiring characteristic parameters of the characteristic lines, wherein the characteristic parameters comprise switching values of the slope lines and a main slope coefficient ZP.
2. The method for processing monitored data for landslide according to claim 1, wherein the specific process of comparing the standard characteristic of the altitude section with the characteristic parameters of all the characteristic lines comprises:
if the characteristic lines with the characteristic parameters matched with the standard characteristics exist, marking the erection mode as a centralized mode, and marking an analysis area where the corresponding characteristic lines are located as a centralized area;
if no characteristic line with the characteristic parameters matched with the standard characteristics exists, marking the erection mode as a uniform mode.
3. A monitoring data processing method for landslide of claim 2 wherein the dividing of the analysis region comprises: all the characteristic lines are rotated by 22.5 degrees anticlockwise to obtain regional lines, and the analysis region is formed by the land intercepted by two adjacent regional lines on the surface of the slope body of the erection object.
4. A monitoring data processing method for landslide of claim 3 wherein the erection execution processing of the monitoring equipment for landslide comprises:
when monitoring equipment is installed on an erection object in a centralized mode, the number of centralized areas of the erection object is obtained and marked as a centralized value, a centralized threshold value is obtained through a storage module, and the centralized value is compared with the centralized threshold value: if the centralized value is greater than or equal to the centralized threshold value, judging that the erection requirement of the erection object does not meet the requirement, and sending an equipment adding signal to the data processing platform by the erection execution module, wherein the data processing platform receives the equipment adding signal and then sends the equipment adding signal to a mobile phone terminal of a manager; if the concentration value is smaller than the concentration threshold value, uniformly erecting one half of the monitoring equipment in all the concentration areas, and uniformly erecting the remaining one half of the monitoring equipment in all the non-concentration areas;
when the monitoring equipment is installed on the erection object in a uniform mode, all the monitoring equipment is uniformly erected in all the analysis areas.
5. The method for monitoring data processing of landslide of any one of claims 1-4, which is applied to a system for monitoring data processing of landslide and comprises a data processing platform, wherein the data processing platform is in communication connection with an erection analysis module, a data processing module, an erection execution module and a storage module;
the erection analysis module is used for analyzing the erection mode of the monitoring equipment of the landslide and marking the erection mode;
the data processing module is used for processing and analyzing historical data of landslide and obtaining standard characteristics of a height section;
the erection execution module is used for carrying out erection execution processing on monitoring equipment of landslide according to an erection mode.
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