CN112435443A - Geological disaster monitoring and early warning system based on big data analysis - Google Patents
Geological disaster monitoring and early warning system based on big data analysis Download PDFInfo
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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Abstract
The invention discloses a geological disaster monitoring and early warning system based on big data analysis, which comprises a monitoring area dividing module, an area monitoring point laying module, an environmental parameter acquisition module, a deformation displacement monitoring module, an anchor rod axial force monitoring module, a retaining wall monitoring and analyzing module, a safety database, a parameter analysis module, a management server, an early warning module and a display terminal, wherein the comprehensive monitoring of the slope landslide disaster is realized by dividing the slope area and acquiring various parameters of each monitoring sub area, so as to count the danger evaluation coefficient of each monitoring sub area, and count the comprehensive slope landslide danger evaluation coefficient by combining the danger evaluation coefficient of each monitoring sub area and various danger coefficients of the retaining wall, thereby overcoming the defect that the protection is not in place due to lack of comprehensive consideration of the current slope monitoring means, and improving the monitoring accuracy, the occurrence of landslide disasters on the side slope is reduced to the maximum extent, and the life and property safety of people is guaranteed.
Description
Technical Field
The invention belongs to the technical field of geological disaster monitoring, relates to a slope safety monitoring technology, and particularly relates to a geological disaster monitoring and early warning system based on big data analysis.
Background
China is one of the most serious countries of geological disasters in the world, and in various geological disasters, landslide, collapse and other disasters caused by slope deformation instability bring huge loss and casualties to the economic construction and social safety of China.
However, the current slope monitoring means is lack of systematic research on slope safety monitoring technology, only the protection technology of low-grade roads can be used for local protection, and the comprehensive consideration is lacked, so that the protection is not in place, and huge economic loss and adverse social influence are caused.
Disclosure of Invention
In order to achieve the purpose, the invention provides the following technical scheme:
a geological disaster monitoring and early warning system based on big data analysis comprises a monitoring area dividing module, an area monitoring point laying module, an environmental parameter collecting module, a deformation displacement monitoring module, an anchor rod axial force monitoring module, a retaining wall monitoring and analyzing module, a safety database, a parameter analyzing module, a management server, an early warning module and a display terminal, wherein the monitoring area dividing module is respectively connected with the area monitoring point laying module and the anchor rod axial force monitoring module;
the monitoring region dividing module is used for dividing a slope region to be monitored into a plurality of monitoring sub-regions according to the length of a slope, and the divided monitoring sub-regions are numbered in sequence from the bottom to the top of the slope and are sequentially marked as 1,2.. i.. n;
the area monitoring point arrangement module is used for arranging a plurality of monitoring points for each divided monitoring sub-area, and the monitoring points arranged in each monitoring sub-area are numbered according to a preset sequence and are respectively marked as 1,2.
The environment parameter acquisition module comprises a plurality of environment parameter acquisition devices which are respectively arranged at the positions of monitoring points distributed in monitoring sub-areas and used for acquiring environment parameters of the monitoring points, wherein the acquired environment parameters comprise temperature, soil surface humidity, wind speed, rainfall and underground water level, and the environment parameters acquired by the monitoring points of the monitoring sub-areas form a regional monitoring point environment parameter set Pi w(pi w1,pi w2,...,pi wj,...,pi wm)，pi wj represents a numerical value corresponding to the w-th environmental parameter of the jth monitoring point of the ith monitoring subarea, w represents an environmental parameter, w is d1, d2, d3, d4, d5, d1, d2, d3, d4 and d5 respectively represent temperature, soil surface humidity, wind speed, rainfall and underground water level, and the environmental parameter collection module sends the area monitoring point environmental parameter set to the parameter analysis module;
the deformation displacement monitoring module comprises a plurality of series-connected fixed inclinometers and is used for detecting the displacement deformation inside the soil body of each monitoring point distributed in each monitoring subarea, and the specific detection process comprises the following steps:
step S1: respectively vertically inserting the series-connected fixed inclinometers into the soil body of each monitoring point distributed in each monitoring subarea;
step S2: respectively reading the inclination displacement data displayed on each fixed inclinometer sensor in each series fixed inclinometer, and accumulating the inclination displacement displayed on each fixed inclinometer sensor in each series fixed inclinometer to obtain the soil body internal accumulated inclination displacement of each monitoring point, and recording the soil body internal accumulated inclination displacement as the soil body internal one-time accumulated inclination displacement of each monitoring point;
step S2: the once accumulated oblique displacement in the soil body of each monitoring point forms a once accumulated oblique displacement set S in the soil body of the monitoring point of the areai(si1,si2,...,sij,...,sim)，sij represents the once accumulated inclined displacement in the soil body of the jth monitoring point of the ith monitoring subarea;
step S3: obtaining the soil body internal accumulated inclined displacement of each monitoring point at fixed time intervals according to the method of the steps S1-S2 again, recording the soil body internal accumulated inclined displacement as the soil body internal secondary accumulated inclined displacement of each monitoring point, and forming the soil body internal secondary accumulated inclined displacement set S 'of the monitoring points in the area'i(s′i1,s′i2,...,s′ij,...,s′im)，s′ij represents the secondary accumulated inclined displacement in the soil body of the jth monitoring point of the ith monitoring subarea;
step S4: carrying out difference comparison on the secondary accumulated oblique displacement set inside the soil body of the area monitoring point and the primary accumulated oblique displacement set inside the soil body of the area monitoring point to obtain an oblique deformation displacement set S' inside the soil body of the area monitoring pointi(s″i1,s″i2,...,s″ij,...,s″im)，s″ij is expressed as the difference value between the secondary accumulated soil body inclination displacement of the jth monitoring point of the ith monitoring subarea and the corresponding primary accumulated inclination displacement, and is recorded as the soil body internal deformation displacement of the jth monitoring point of the ith monitoring subarea, and the soil body internal displacement deformation monitoring module sends the soil body internal inclination deformation displacement set of the monitoring points of the area to the parameter analysis module;
the anchor rod axial force monitoring module is used for counting the number of anchor rods in each divided monitoring sub-area, numbering each counted anchor rod, sequentially marking the anchor rods as 1,2, k, l, detecting the axial force of each anchor rod in each divided monitoring sub-area by using the anchor rope meter, and further forming an area anchor rod axial force set Fi(fi1,fi2,...,fik,...,fil)，fik is the axial force of the kth anchor rod in the ith monitoring sub-region, and the anchor rod axial force monitoring module sends the region anchor rod axial force set to the parameter analysis module;
the safety database is used for storing safety values corresponding to all environment parameters of the side slope, storing safe inclined deformation displacement in the soil body, storing a single anchor rod axial force safety threshold value, storing inclined displacement corresponding to all inclined danger levels of the retaining wall and inclined danger coefficients corresponding to all inclined danger levels B being 1,2 and 3, storing a retaining wall lateral pressure safety threshold value, storing a lateral pressure contrast value corresponding to all lateral pressure danger levels of the retaining wall and lateral pressure danger coefficients corresponding to all lateral pressure danger levels E being 1,2 and 3, and storing a side slope comprehensive landslide danger assessment coefficient safety threshold value;
the parameter analysis module receives the regional monitoring point environment parameter set sent by the environment parameter acquisition module, receives the regional monitoring point soil body internal inclined deformation displacement set sent by the deformation displacement monitoring module, and receives the regional anchor rod axial force set sent by the anchor rod axial force monitoring module, the parameter analysis module extracts the safety value corresponding to the preset side slope environment parameter in the safety database according to the received regional monitoring point environment parameter set, compares the regional monitoring point environment parameter set with the safety value corresponding to each side slope environment parameter, and obtains a regional monitoring point environment parameter comparison set delta Pi w(Δpi w1,Δpi w2,...,Δpi wj,...,Δpi wm), simultaneously comparing the received soil internal inclined deformation displacement set of the monitoring points in the area with the preset soil internal safe inclined deformation displacement in the safety database by the parameter analysis module to obtain a soil internal inclined deformation displacement comparison set delta S' of the monitoring points in the areai(Δs″i1,Δs″i2,...,Δs″ij,...,Δs″im), similarly, the parameter analysis module compares the received regional anchor rod axial force set with a single anchor rod axial force safety threshold preset in a safety database to obtain a regional anchor rod axial force comparison set delta Fi(Δfi1,Δfi2,...,Δfik,...,Δfil), therefore, the parameter analysis module counts the risk evaluation coefficients of each monitoring sub-area according to the comparison set and sends the risk evaluation coefficients to the management server;
the retaining wall monitoring and analyzing module comprises a retaining wall detection terminal used for detecting the inclined displacement and the lateral pressure of the retaining wall to obtain the inclined displacement and the lateral pressure of the retaining wall, comparing the obtained inclined displacement of the retaining wall with the inclined displacement corresponding to each inclined danger level of the retaining wall preset in the safety database, screening out the inclined danger level corresponding to the inclined displacement of the retaining wall, simultaneously comparing the obtained lateral pressure of the retaining wall with a retaining wall lateral pressure safety threshold preset in the safety database, if the lateral pressure safety threshold is greater than the lateral pressure safety threshold, subtracting the lateral pressure safety threshold from the detected lateral pressure of the retaining wall to obtain a lateral pressure comparison value, and further comparing the lateral pressure comparison value with the lateral pressure comparison value corresponding to each lateral pressure danger level of the retaining wall preset in the safety database, screening out a lateral pressure danger level corresponding to the lateral pressure contrast value of the retaining wall, and sending the inclined danger level and the lateral pressure danger level of the retaining wall to a management server by a retaining wall monitoring and analyzing module;
the management server receives the risk assessment coefficients of the monitoring sub-areas sent by the parameter analysis module, receives the inclination risk levels and the lateral pressure risk levels of the retaining wall sent by the retaining wall monitoring analysis module, compares the inclination risk levels of the retaining wall with inclination risk coefficients corresponding to the inclination risk levels preset in the safety database, screens inclination risk coefficients corresponding to the inclination risk levels of the retaining wall, compares the lateral pressure risk levels of the retaining wall with lateral pressure risk coefficients corresponding to the lateral pressure risk levels preset in the safety database, screens the lateral pressure risk coefficients corresponding to the lateral pressure risk levels of the retaining wall, and counts a slope comprehensive landslide risk assessment system according to the risk assessment coefficients of the monitoring sub-areas, the inclination risk coefficients corresponding to the inclination risk levels of the retaining wall and the lateral pressure risk coefficients corresponding to the lateral pressure risk levels of the retaining wall The statistical comprehensive landslide risk assessment coefficient of the side slope is sent to a display terminal, meanwhile, the comprehensive landslide risk assessment coefficient of the side slope is compared with a preset safety threshold of the comprehensive landslide risk assessment coefficient of the side slope, and if the comprehensive landslide risk assessment coefficient of the side slope is larger than the safety threshold of the comprehensive landslide risk assessment coefficient of the side slope, an early warning instruction is sent to an early warning module;
the early warning module receives an early warning instruction sent by the management server and carries out early warning;
and the display terminal receives and displays the comprehensive slope landslide risk evaluation coefficient of the slope sent by the management server.
Preferably, the monitoring area dividing module divides the slope area to be monitored into a plurality of monitoring sub-areas according to the length of the slope, and the method comprises the following two steps:
step H1: counting the length from the bottom to the top of the slope to be monitored;
step H2: the statistical slope bevel lengths are equally divided into n sections, and the slope region to which each section belongs is used as a monitoring sub-region.
Preferably, the specific method for the area monitoring point arrangement module to arrange the monitoring points for each divided monitoring sub-area is to obtain the area of each monitoring sub-area, divide each monitoring sub-area into a plurality of sub-areas with the same area according to a planar gridding mode, and then arrange one monitoring point in each sub-area.
Preferably, the environmental parameter collection equipment includes temperature sensor, soil moisture sensor, air velocity transducer, rain gauge and pore water pressure gauge, temperature sensor is used for detecting the temperature of each monitoring point, soil moisture sensor is used for detecting the soil surface humidity of each monitoring point, air velocity transducer is used for detecting the wind speed of each monitoring point, the rain gauge is used for detecting the rainfall of each monitoring point, pore water pressure gauge is used for detecting the groundwater level of each monitoring point.
Preferably, the calculation formula of the risk assessment coefficient of each monitoring subarea is
ηiRisk assessment coefficient, Δ p, expressed as the ith monitor sub-regioni wj is the difference value between the w-th environmental parameter of the j-th monitoring point of the ith monitoring subarea and the safety value corresponding to the environmental parameter, delta s ″ij represents the soil body internal deformation displacement and the soil body internal safe inclined deformation of the jth monitoring point of the ith monitoring subareaDifference between displacements, Δ fik is expressed as the difference value between the axial force of the kth anchor rod in the ith monitoring subarea and the axial force safety threshold value of a single anchor rod, pw0The safety values are expressed as corresponding safety values of various environmental parameters of the side slope, w ═ d1, d2, d3, d4, d5, s ″0Expressed as the safe deformation displacement inside the soil body, f0Expressed as a single bolt axial force safety threshold.
Preferably, the retaining wall detection terminal comprises a box-type fixed inclinometer and a soil pressure meter, wherein the box-type fixed inclinometer is used for detecting the inclined displacement of the retaining wall, and the soil pressure meter is used for detecting the lateral pressure of the retaining wall.
Preferably, the calculation formula of the comprehensive landslide risk assessment coefficient of the side slope is
ηiExpressed as the risk assessment coefficient, γ, of the ith monitor sub-regionBExpressed as the tilt risk coefficient corresponding to the B-th tilt risk level, B1, 2,3, λEThe lateral pressure danger coefficient corresponding to the E-th lateral pressure danger level is expressed, and E is 1,2 and 3.
The invention has the following beneficial effects:
1. the invention divides the slope into regions and collects the environmental parameters, deformation displacement and anchor rod axial force of each monitoring sub-region, meanwhile, according to the obtained various parameters of each monitoring sub-region, the risk evaluation coefficient of each monitoring sub-region is counted, and combines the risk evaluation coefficient of each monitoring subarea with the inclination risk coefficient and the lateral pressure risk coefficient of the retaining wall, further obtaining a comprehensive landslide risk evaluation coefficient of the side slope, realizing the comprehensive monitoring of the landslide hazard of the side slope, making up for the lack of comprehensive consideration of the current side slope monitoring means, thereby causing the defect of inadequate protection, improving the monitoring accuracy, maximally reducing the occurrence of landslide disasters of the side slope, the obtained comprehensive landslide risk evaluation coefficient of the side slope can predict the risk condition of the side slope in advance, provide enough time for later-stage side slope protection preparation, and guarantee the life and property safety of people.
2. According to the invention, various parameter data are acquired by distributing a plurality of monitoring points in each divided monitoring sub-area, so that the acquired data is closer to a real numerical value, errors caused by data acquisition of a single monitoring point are avoided, and reliable data support is provided for later-stage statistics of risk evaluation coefficients of each monitoring sub-area.
3. The method compares the counted comprehensive landslide risk assessment coefficient with a preset safety threshold of the comprehensive landslide risk assessment coefficient, and carries out early warning when the calculated comprehensive landslide risk assessment coefficient is larger than the safety threshold of the comprehensive landslide risk assessment coefficient, so as to warn people and avoid safety accidents under the condition of no early warning.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, 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.
The utility model provides a geological disaster monitoring early warning system based on big data analysis, including monitoring zone partition module, the module is laid to the regional monitoring point, environmental parameter collection module, deformation displacement monitoring module, stock axial force monitoring module, retaining wall monitoring analysis module, the security database, parameter analysis module, the management server, early warning module and display terminal, wherein monitoring zone partition module is connected with regional monitoring point respectively and stock axial force monitoring module, the module is laid to the regional monitoring point is connected with environmental parameter collection module and deformation displacement monitoring module respectively, parameter analysis module respectively with environmental parameter collection module, deformation displacement monitoring module, stock axial force monitoring module and security database are connected, the management server respectively with parameter analysis module, retaining wall monitoring analysis module, early warning module and display terminal are connected.
The monitoring area dividing module is used for dividing a slope area to be monitored into a plurality of monitoring sub-areas according to the length of a slope, and the specific dividing method comprises the following two steps:
step H1: counting the length from the bottom to the top of the slope to be monitored;
step H2: the statistical slope surface lengths are equally divided into n sections, the slope region to which each section belongs serves as a monitoring sub-region, the divided monitoring sub-regions are numbered according to the sequence from the bottom to the top of the slope, and the monitoring sub-regions are marked as 1,2.
The embodiment provides convenience for the following arrangement of monitoring points of each monitoring sub-area and the subsequent statistics of the risk evaluation coefficient of each monitoring sub-area by carrying out area division on the slope area to be monitored.
The area monitoring point distribution module is used for distributing a plurality of monitoring points to each divided monitoring sub-area, the specific distribution method comprises the steps of obtaining the area of each monitoring sub-area, dividing each monitoring sub-area into a plurality of sub-areas with the same area according to a planar gridding mode, further distributing one monitoring point in each sub-area, numbering the monitoring points distributed by each monitoring sub-area according to a preset sequence, and marking the monitoring points as 1,2.
In the embodiment, various parameter data are collected by distributing a plurality of monitoring points in each divided monitoring sub-region, so that the collected data are closer to real numerical values, errors caused by data collection of a single monitoring point are avoided, and reliable data support is provided for later-stage statistics of risk evaluation coefficients of each monitoring sub-region.
The environment parameter acquisition module comprises a plurality of environment parameter acquisition devices which are respectively arranged at the positions of monitoring points distributed in monitoring subregions and used for acquiring the environment parameters of the monitoring points, wherein the acquired environment parameters comprise temperature, soil surface humidity, wind speed and rainfallAnd ground water level, environmental parameter collection equipment includes temperature sensor, soil moisture sensor, air velocity transducer, rain gauge and pore water pressure gauge, temperature sensor is used for detecting the temperature of each monitoring point, soil moisture sensor is used for detecting the soil surface humidity of each monitoring point, air velocity transducer is used for detecting the wind speed of each monitoring point, the rain gauge is used for detecting the rainfall of each monitoring point, pore water pressure gauge is used for detecting the ground water level of each monitoring point, and environmental parameter that environmental parameter collection module gathered each monitoring point of each monitoring subregion constitutes regional monitoring point environmental parameter set Pi w(pi w1,pi w2,...,pi wj,...,pi wm)，pi wj represents a numerical value corresponding to the w-th environmental parameter of the jth monitoring point of the ith monitoring subarea, w represents an environmental parameter, w is d1, d2, d3, d4, d5, d1, d2, d3, d4 and d5 respectively represent temperature, soil surface humidity, wind speed, rainfall and underground water level, and the environmental parameter collection module sends the area monitoring point environmental parameter set to the parameter analysis module.
The deformation displacement monitoring module comprises a plurality of series-connected fixed inclinometers and is used for detecting the displacement deformation inside the soil body of each monitoring point distributed in each monitoring subarea, wherein each series-connected fixed inclinometer consists of an inclinometer pipe and a plurality of fixed inclinometer sensors arranged in the inclinometer pipe, when the stratum displaces, the inclinometer pipe displaces so as to cause the sensors arranged in the pipes to incline, and the inclined displacement measured by the soil body at the point by the series-connected fixed inclinometers can be obtained by reading the data displayed by the fixed inclinometer sensors. The specific deformation displacement detection process comprises the following steps:
step S1: respectively vertically inserting the series-connected fixed inclinometers into the soil body of each monitoring point distributed in each monitoring subarea;
step S2: respectively reading the inclination displacement data displayed on each fixed inclinometer sensor in each series fixed inclinometer, and accumulating the inclination displacement displayed on each fixed inclinometer sensor in each series fixed inclinometer to obtain the soil body internal accumulated inclination displacement of each monitoring point, and recording the soil body internal accumulated inclination displacement as the soil body internal one-time accumulated inclination displacement of each monitoring point;
step S2: the once accumulated oblique displacement in the soil body of each monitoring point forms a once accumulated oblique displacement set S in the soil body of the monitoring point of the areai(si1,si2,...,sij,...,sim)，sij represents the once accumulated inclined displacement in the soil body of the jth monitoring point of the ith monitoring subarea;
step S3: obtaining the soil body internal accumulated inclined displacement of each monitoring point at fixed time intervals according to the method of the steps S1-S2 again, recording the soil body internal accumulated inclined displacement as the soil body internal secondary accumulated inclined displacement of each monitoring point, and forming the soil body internal secondary accumulated inclined displacement set S 'of the monitoring points in the area'i(s′i1,s′i2,...,s′ij,...,s′im)，si' j represents the secondary accumulated inclined displacement in the soil body of the jth monitoring point of the ith monitoring subarea;
step S4: carrying out difference comparison on the secondary accumulated oblique displacement set inside the soil body of the area monitoring point and the primary accumulated oblique displacement set inside the soil body of the area monitoring point to obtain an oblique deformation displacement set S' inside the soil body of the area monitoring pointi(s″i1,s″i2,...,s″ij,...,s″im)，s″ij is expressed as the difference value between the secondary soil body internal accumulated inclined displacement of the jth monitoring point of the ith monitoring subarea and the corresponding primary accumulated inclined displacement, and is recorded as the soil body internal deformation displacement of the jth monitoring point of the ith monitoring subarea, and the soil body internal displacement deformation monitoring module sends the soil body internal inclined deformation displacement set of the area monitoring point to the parameter analysis module.
The anchor rod axial force monitoring module is used for counting the number of anchor rods in each divided monitoring sub-area, numbering each counted anchor rod, sequentially marking the anchor rods as 1,2To form a regional anchor rod axial force set Fi(fi1,fi2,...,fik,...,fil)，fik represents the axial force of the kth anchor rod in the ith monitoring sub-region, and the anchor rod axial force monitoring module sends the region anchor rod axial force set to the parameter analysis module.
The safety database is used for storing safety values corresponding to all environment parameters of the side slope, storing safe inclination deformation displacement inside the soil body, storing a single anchor rod axial force safety threshold value, storing inclination displacement corresponding to all inclination danger levels of the retaining wall and inclination danger coefficients corresponding to all inclination danger levels B being 1,2 and 3, storing a retaining wall lateral pressure safety threshold value, storing lateral pressure contrast values corresponding to all lateral pressure danger levels of the retaining wall and lateral pressure danger coefficients corresponding to all lateral pressure danger levels E being 1,2 and 3, and storing a side slope comprehensive landslide danger assessment coefficient safety threshold value.
The parameter analysis module receives the regional monitoring point environmental parameter set sent by the environmental parameter acquisition module, receives the regional monitoring point soil body internal inclined deformation displacement set sent by the deformation displacement monitoring module, and receives the regional anchor rod axial force set sent by the anchor rod axial force monitoring module, the parameter analysis module extracts the safety value corresponding to the preset side slope environmental parameter in the safety database according to the received regional monitoring point environmental parameter set, compares the regional monitoring point environmental parameter set with the safety value corresponding to each side slope environmental parameter to obtain a regional monitoring point environmental parameter comparison set delta Pi w(Δpi w1,Δpi w2,...,Δpi wj,...,Δpi wm), simultaneously comparing the received soil internal inclined deformation displacement set of the monitoring points in the area with the preset soil internal safe inclined deformation displacement in the safety database by the parameter analysis module to obtain a soil internal inclined deformation displacement comparison set delta S' of the monitoring points in the areai(Δs″i1,Δs″i2,...,Δs″ij,...,Δs″im), similarly, the parameter analysis module carries out the received regional anchor rod axial force set and a single anchor rod axial force safety threshold preset in a safety databaseComparing to obtain a comparison set delta F of the axial force of the regional anchor rodi(Δfi1,Δfi2,...,Δfik,...,Δfil), therefore, the parameter analysis module counts the risk evaluation coefficient of each monitoring subarea according to the comparison set
ηiRisk assessment coefficient, Δ p, expressed as the ith monitor sub-regioni wj is the difference value between the w-th environmental parameter of the j-th monitoring point of the ith monitoring subarea and the safety value corresponding to the environmental parameter, delta s ″ij is expressed as the difference between the soil body internal deformation displacement of the jth monitoring point of the ith monitoring sub-region and the soil body internal safe inclined deformation displacement, delta fik is expressed as the difference value between the axial force of the kth anchor rod in the ith monitoring subarea and the axial force safety threshold value of a single anchor rod, pw0The safety values are expressed as corresponding safety values of various environmental parameters of the side slope, w ═ d1, d2, d3, d4, d5, s ″0Expressed as the safe deformation displacement inside the soil body, f0The risk evaluation coefficient of each monitoring sub-region is calculated, the risk condition of each monitoring sub-region is visually displayed, the larger the risk evaluation coefficient is, the more dangerous the monitoring sub-region is, and the parameter analysis module sends the calculated risk evaluation coefficient of each monitoring sub-region to the management server.
The retaining wall monitoring and analyzing module comprises a retaining wall detection terminal used for detecting the inclined displacement and the lateral pressure of the retaining wall, wherein the retaining wall detection terminal comprises a box-shaped fixed inclinometer and a soil pressure gauge, the box-shaped fixed inclinometer is used for detecting the inclined displacement of the retaining wall, the soil pressure gauge is used for detecting the lateral pressure of the retaining wall to obtain the inclined displacement and the lateral pressure of the retaining wall, the obtained inclined displacement of the retaining wall is compared with the inclined displacement corresponding to each inclined danger level of the retaining wall preset in a safety database, the inclined danger level corresponding to the inclined displacement of the retaining wall is screened out, meanwhile, the obtained lateral pressure of the retaining wall is compared with a retaining wall lateral pressure safety threshold preset in the safety database, if the inclined displacement is larger than the lateral pressure safety threshold, the lateral pressure of the retaining wall is subtracted from the lateral pressure safety threshold, and obtaining a lateral pressure comparison value, comparing the lateral pressure comparison value with lateral pressure comparison values corresponding to all lateral pressure danger levels of the retaining wall preset in the safety database, screening out lateral pressure danger levels corresponding to the lateral pressure comparison values of the retaining wall, and sending the inclined danger levels and the lateral pressure danger levels of the retaining wall to a management server by the retaining wall monitoring and analyzing module.
The management server receives the risk evaluation coefficients of each monitoring subarea sent by the parameter analysis module, receives the inclined risk level and the lateral pressure risk level of the retaining wall sent by the retaining wall monitoring analysis module, and comparing the received inclined danger level of the retaining wall with inclined danger coefficients corresponding to the inclined danger levels preset in the safety database, screening the inclined danger coefficient corresponding to the inclined danger level of the retaining wall, meanwhile, comparing the lateral pressure danger level of the retaining wall with the lateral pressure danger coefficients corresponding to the lateral pressure danger levels preset in the safety database, screening the lateral pressure danger coefficient corresponding to the lateral pressure danger level of the retaining wall, and the management server counts the comprehensive slope landslide risk evaluation coefficient of the slope according to the risk evaluation coefficient of each monitored sub-region, the slope risk coefficient corresponding to the slope risk grade of the retaining wall and the lateral pressure risk coefficient corresponding to the lateral pressure risk grade of the retaining wall.
ηiExpressed as the risk assessment coefficient, γ, of the ith monitor sub-regionBExpressed as the tilt risk coefficient corresponding to the B-th tilt risk level, B1, 2,3, λEThe lateral pressure danger coefficient corresponding to the E-th lateral pressure danger level is represented, E is 1,2 and 3, the statistical slope comprehensive landslide danger assessment coefficient is sent to a display terminal, meanwhile, the slope comprehensive landslide danger assessment coefficient is compared with a preset slope comprehensive landslide danger assessment coefficient safety threshold, and if the statistical slope comprehensive landslide danger assessment coefficient is larger than the slope comprehensive landslide danger assessment coefficient safety threshold, an early warning instruction is sent to an early warning module.
The comprehensive landslide risk assessment coefficient of the side slope counted by the embodiment combines the risk assessment coefficient of each monitoring sub-area with the slope risk coefficient and the lateral pressure risk coefficient of the retaining wall, can comprehensively and intelligently monitor the landslide hazard, overcomes the defect that the protection is not in place due to lack of comprehensive consideration of the existing side slope monitoring means, maximally reduces the occurrence of the landslide hazard, achieves quantitative display of the landslide hazard situation of the side slope by the obtained comprehensive landslide risk assessment coefficient of the side slope, and has the characteristic of high assessment accuracy, and the larger the comprehensive landslide risk assessment coefficient of the side slope, the more serious the risk situation of the side slope is.
The early warning module receives an early warning instruction sent by the management server and carries out early warning to remind people, and safety accidents are avoided when the early warning is not carried out.
The display terminal receives and displays the comprehensive landslide risk assessment coefficient of the side slope sent by the management server, so that the side slope related managers can predict the dangerous condition of the side slope in advance according to the displayed comprehensive landslide risk assessment coefficient of the side slope, sufficient time is provided for later-stage side slope protection preparation, and the life and property safety of people is further guaranteed.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (7)
1. The utility model provides a geological disaster monitoring early warning system based on big data analysis which characterized in that: the monitoring system comprises a monitoring area dividing module, an area monitoring point laying module, an environmental parameter acquisition module, a deformation displacement monitoring module, an anchor rod axial force monitoring module, a retaining wall monitoring analysis module, a safety database, a parameter analysis module, a management server, an early warning module and a display terminal, wherein the monitoring area dividing module is respectively connected with the area monitoring point laying module and the anchor rod axial force monitoring module;
the monitoring region dividing module is used for dividing a slope region to be monitored into a plurality of monitoring sub-regions according to the length of a slope, and the divided monitoring sub-regions are numbered in sequence from the bottom to the top of the slope and are sequentially marked as 1,2.. i.. n;
the area monitoring point arrangement module is used for arranging a plurality of monitoring points for each divided monitoring sub-area, and the monitoring points arranged in each monitoring sub-area are numbered according to a preset sequence and are respectively marked as 1,2.
The environment parameter acquisition module comprises a plurality of environment parameter acquisition devices which are respectively arranged at the positions of monitoring points distributed in monitoring sub-areas and used for acquiring environment parameters of the monitoring points, wherein the acquired environment parameters comprise temperature, soil surface humidity, wind speed, rainfall and underground water level, and the environment parameters acquired by the monitoring points of the monitoring sub-areas form a regional monitoring point environment parameter set Pi w(pi w1,pi w2,...,pi wj,...,pi wm)，pi wj represents a numerical value corresponding to the w-th environmental parameter of the jth monitoring point of the ith monitoring subarea, w represents an environmental parameter, w is d1, d2, d3, d4, d5, d1, d2, d3, d4 and d5 respectively represent temperature, soil surface humidity, wind speed, rainfall and underground water level, and the environmental parameter collection module sends the area monitoring point environmental parameter set to the parameter analysis module;
the deformation displacement monitoring module comprises a plurality of series-connected fixed inclinometers and is used for detecting the displacement deformation inside the soil body of each monitoring point distributed in each monitoring subarea, and the specific detection process comprises the following steps:
step S1: respectively vertically inserting the series-connected fixed inclinometers into the soil body of each monitoring point distributed in each monitoring subarea;
step S2: respectively reading the inclination displacement data displayed on each fixed inclinometer sensor in each series fixed inclinometer, and accumulating the inclination displacement displayed on each fixed inclinometer sensor in each series fixed inclinometer to obtain the soil body internal accumulated inclination displacement of each monitoring point, and recording the soil body internal accumulated inclination displacement as the soil body internal one-time accumulated inclination displacement of each monitoring point;
step S2: the once accumulated oblique displacement in the soil body of each monitoring point forms a once accumulated oblique displacement set S in the soil body of the monitoring point of the areai(si1,si2,...,sij,...,sim)，sij represents the once accumulated inclined displacement in the soil body of the jth monitoring point of the ith monitoring subarea;
step S3: obtaining the soil body internal accumulated inclined displacement of each monitoring point at fixed time intervals according to the method of the steps S1-S2 again, recording the soil body internal accumulated inclined displacement as the soil body internal secondary accumulated inclined displacement of each monitoring point, and forming the soil body internal secondary accumulated inclined displacement set S 'of the monitoring points in the area'i(s′i1,s′i2,...,s′ij,...,s′im)，s′ij represents the secondary accumulated inclined displacement in the soil body of the jth monitoring point of the ith monitoring subarea;
step S4: carrying out difference comparison on the secondary accumulated oblique displacement set inside the soil body of the area monitoring point and the primary accumulated oblique displacement set inside the soil body of the area monitoring point to obtain an oblique deformation displacement set S' inside the soil body of the area monitoring pointi(s″i1,s″i2,...,s″ij,...,s″im)，s″ij is expressed as the difference value between the secondary accumulated soil body inclined displacement of the jth monitoring point of the ith monitoring subarea and the corresponding primary accumulated inclined displacement, and is recorded as the soil body internal deformation displacement of the jth monitoring point of the ith monitoring subarea, and the soil body internal displacement deformation monitoring module sends the soil body internal inclined deformation displacement set of the area monitoring point to the parameter sub-groupAn analysis module;
the anchor rod axial force monitoring module is used for counting the number of anchor rods in each divided monitoring sub-area, numbering each counted anchor rod, sequentially marking the anchor rods as 1,2, k, l, detecting the axial force of each anchor rod in each divided monitoring sub-area by using the anchor rope meter, and further forming an area anchor rod axial force set Fi(fi1,fi2,...,fik,...,fil)，fik is the axial force of the kth anchor rod in the ith monitoring sub-region, and the anchor rod axial force monitoring module sends the region anchor rod axial force set to the parameter analysis module;
the safety database is used for storing safety values corresponding to all environment parameters of the side slope, storing safe inclined deformation displacement in the soil body, storing a single anchor rod axial force safety threshold value, storing inclined displacement corresponding to all inclined danger levels of the retaining wall and inclined danger coefficients corresponding to all inclined danger levels B being 1,2 and 3, storing a retaining wall lateral pressure safety threshold value, storing a lateral pressure contrast value corresponding to all lateral pressure danger levels of the retaining wall and lateral pressure danger coefficients corresponding to all lateral pressure danger levels E being 1,2 and 3, and storing a side slope comprehensive landslide danger assessment coefficient safety threshold value;
the parameter analysis module receives the regional monitoring point environment parameter set sent by the environment parameter acquisition module, receives the regional monitoring point soil body internal inclined deformation displacement set sent by the deformation displacement monitoring module, and receives the regional anchor rod axial force set sent by the anchor rod axial force monitoring module, the parameter analysis module extracts the safety value corresponding to the preset side slope environment parameter in the safety database according to the received regional monitoring point environment parameter set, compares the regional monitoring point environment parameter set with the safety value corresponding to each side slope environment parameter, and obtains a regional monitoring point environment parameter comparison set delta Pi w(Δpi w1,Δpi w2,...,Δpi wj,...,Δpi wm), simultaneously collecting the received soil internal inclined deformation displacement of the area monitoring points and the soil preset in the safety database by the parameter analysis moduleComparing the safe oblique deformation displacement inside the body to obtain a comparison set delta S' of the oblique deformation displacement inside the soil body of the area monitoring pointi(Δs″i1,Δs″i2,...,Δs″ij,...,Δs″im), similarly, the parameter analysis module compares the received regional anchor rod axial force set with a single anchor rod axial force safety threshold preset in a safety database to obtain a regional anchor rod axial force comparison set delta Fi(Δfi1,Δfi2,...,Δfik,...,Δfil), therefore, the parameter analysis module counts the risk evaluation coefficients of each monitoring sub-area according to the comparison set and sends the risk evaluation coefficients to the management server;
the retaining wall monitoring and analyzing module comprises a retaining wall detection terminal used for detecting the inclined displacement and the lateral pressure of the retaining wall to obtain the inclined displacement and the lateral pressure of the retaining wall, comparing the obtained inclined displacement of the retaining wall with the inclined displacement corresponding to each inclined danger level of the retaining wall preset in the safety database, screening out the inclined danger level corresponding to the inclined displacement of the retaining wall, simultaneously comparing the obtained lateral pressure of the retaining wall with a retaining wall lateral pressure safety threshold preset in the safety database, if the lateral pressure safety threshold is greater than the lateral pressure safety threshold, subtracting the lateral pressure safety threshold from the detected lateral pressure of the retaining wall to obtain a lateral pressure comparison value, and further comparing the lateral pressure comparison value with the lateral pressure comparison value corresponding to each lateral pressure danger level of the retaining wall preset in the safety database, screening out a lateral pressure danger level corresponding to the lateral pressure contrast value of the retaining wall, and sending the inclined danger level and the lateral pressure danger level of the retaining wall to a management server by a retaining wall monitoring and analyzing module;
the management server receives the risk assessment coefficients of the monitoring sub-areas sent by the parameter analysis module, receives the inclination risk levels and the lateral pressure risk levels of the retaining wall sent by the retaining wall monitoring analysis module, compares the inclination risk levels of the retaining wall with inclination risk coefficients corresponding to the inclination risk levels preset in the safety database, screens inclination risk coefficients corresponding to the inclination risk levels of the retaining wall, compares the lateral pressure risk levels of the retaining wall with lateral pressure risk coefficients corresponding to the lateral pressure risk levels preset in the safety database, screens the lateral pressure risk coefficients corresponding to the lateral pressure risk levels of the retaining wall, and counts a slope comprehensive landslide risk assessment system according to the risk assessment coefficients of the monitoring sub-areas, the inclination risk coefficients corresponding to the inclination risk levels of the retaining wall and the lateral pressure risk coefficients corresponding to the lateral pressure risk levels of the retaining wall The statistical comprehensive landslide risk assessment coefficient of the side slope is sent to a display terminal, meanwhile, the comprehensive landslide risk assessment coefficient of the side slope is compared with a preset safety threshold of the comprehensive landslide risk assessment coefficient of the side slope, and if the comprehensive landslide risk assessment coefficient of the side slope is larger than the safety threshold of the comprehensive landslide risk assessment coefficient of the side slope, an early warning instruction is sent to an early warning module;
the early warning module receives an early warning instruction sent by the management server and carries out early warning;
and the display terminal receives and displays the comprehensive slope landslide risk evaluation coefficient of the slope sent by the management server.
2. The geological disaster monitoring and early warning system based on big data analysis as claimed in claim 1, wherein: the monitoring area dividing module divides the slope area to be monitored into a plurality of monitoring sub-areas according to the length of the slope, and the method comprises the following two steps:
step H1: counting the length from the bottom to the top of the slope to be monitored;
step H2: the statistical slope bevel lengths are equally divided into n sections, and the slope region to which each section belongs is used as a monitoring sub-region.
3. The geological disaster monitoring and early warning system based on big data analysis as claimed in claim 1, wherein: the specific method for the area monitoring point arrangement module to arrange the monitoring points for each divided monitoring subarea is to obtain the area of each monitoring subarea, divide each monitoring subarea into a plurality of subareas with the same area according to a planar gridding mode, and further arrange one monitoring point in each subarea.
4. The geological disaster monitoring and early warning system based on big data analysis as claimed in claim 1, wherein: the environmental parameter collection equipment includes temperature sensor, soil moisture sensor, air velocity transducer, pluviometer and pore water pressure meter, temperature sensor is used for detecting the temperature of each monitoring point, soil moisture sensor is used for detecting the soil surface humidity of each monitoring point, air velocity transducer is used for detecting the wind speed of each monitoring point, the pluviometer is used for detecting the rainfall of each monitoring point, pore water pressure meter is used for detecting the groundwater level of each monitoring point.
5. The geological disaster monitoring and early warning system based on big data analysis as claimed in claim 1, wherein: the calculation formula of the risk assessment coefficient of each monitoring subarea is
ηiRisk assessment coefficient, Δ p, expressed as the ith monitor sub-regioni wj is the difference value between the w-th environmental parameter of the j-th monitoring point of the ith monitoring subarea and the safety value corresponding to the environmental parameter, delta s ″ij is expressed as the difference between the soil body internal deformation displacement of the jth monitoring point of the ith monitoring sub-region and the soil body internal safe inclined deformation displacement, delta fik is expressed as the difference value between the axial force of the kth anchor rod in the ith monitoring subarea and the axial force safety threshold value of a single anchor rod, pw0The safety values are expressed as corresponding safety values of various environmental parameters of the side slope, w ═ d1, d2, d3, d4, d5, s ″0Expressed as the safe deformation displacement inside the soil body, f0Expressed as a single bolt axial force safety threshold.
6. The geological disaster monitoring and early warning system based on big data analysis as claimed in claim 1, wherein: retaining wall test terminal includes box-type fixed inclinometer and soil pressure meter, the box-type fixed inclinometer is used for detecting the slope displacement of retaining wall, the soil pressure meter is used for detecting the lateral pressure of retaining wall.
7. The geological disaster monitoring and early warning system based on big data analysis as claimed in claim 1, wherein: the calculation formula of the comprehensive landslide risk assessment coefficient of the side slope is
ηiExpressed as the risk assessment coefficient, γ, of the ith monitor sub-regionBExpressed as the tilt risk coefficient corresponding to the B-th tilt risk level, B1, 2,3, λEThe lateral pressure danger coefficient corresponding to the E-th lateral pressure danger level is expressed, and E is 1,2 and 3.
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