CN116486572B - Safety risk early warning and monitoring system and method based on power grid engineering project - Google Patents

Safety risk early warning and monitoring system and method based on power grid engineering project Download PDF

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CN116486572B
CN116486572B CN202310411287.6A CN202310411287A CN116486572B CN 116486572 B CN116486572 B CN 116486572B CN 202310411287 A CN202310411287 A CN 202310411287A CN 116486572 B CN116486572 B CN 116486572B
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retaining wall
cracking
wall surface
area
stress
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CN116486572A (en
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欧镜锋
高磊
陈增烁
孔凡均
区剑锋
陈邦炜
梁业盈
黄涛
高源辉
邓超雄
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Guangdong Chengyu Engineering Consulting And Supervision Co ltd
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    • G—PHYSICS
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    • G06Q50/08—Construction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
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    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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Abstract

The invention relates to the technical field of power grid engineering safety precaution and discloses a safety risk precaution monitoring system based on power grid engineering projects, wherein an acquisition module respectively acquires wall surface images of a retaining wall periodically through a mobile acquisition unit, acquires internal stress at the back of the retaining wall in real time through a fixed acquisition unit, a risk identification module determines the cracking degree A of the wall surface of the retaining wall through the wall surface images of the retaining wall, and determines the cracking degree j of the wall surface and the collapse probability of the retaining wall caused by the corresponding grade through the cracking degree A of the wall surface of the retaining wall as K j Meanwhile, determining the consumption of repairing materials in a cracking area through the wall surface image of the retaining wall; the risk identification module determines probability K of collapse of the retaining wall caused by internal stress at the back of the retaining wall through the internal stress at the back of the retaining wall F The method comprises the steps of carrying out a first treatment on the surface of the Finally, through K j And K F And determining the probability K of collapse of the retaining wall.

Description

Safety risk early warning and monitoring system and method based on power grid engineering project
Technical Field
The invention relates to the technical field of power grid engineering safety early warning, in particular to a safety risk early warning monitoring system and method based on a power grid engineering project.
Background
The power substation and the transmission and distribution line of various voltages in the power system form a whole, namely a power grid, and the power grid comprises three units of power transformation, transmission and distribution, wherein the power grid is used for transmitting and distributing electric energy, changing the voltage, and a very important ring in the power grid engineering project is the construction of a transformer substation.
In southwest, due to the limitation of complex terrain conditions, many power grid engineering substations have to be built on mountains, and a large number of excavation and filling are often used for forming a substation foundation, so that great threat is caused to the structural safety of the power grid engineering projects.
In order to avoid the occurrence of the threats, the retaining wall is built on the slope surface in a main mode, the occurrence of landslide is avoided, the damage to the power grid engineering project is avoided, therefore, the safety risk early warning of the retaining wall is very important, the existing retaining wall safety inspection is that maintenance personnel regularly inspect whether the retaining wall surface is cracked or not, but the maintenance personnel cannot detect places where the personnel at the back of the wall cannot directly see, the stress concentration in the places can also cause the retaining wall to collapse, moreover, the retaining wall is easy to miss in a long area, and a large amount of manpower resources are consumed in manual inspection.
Disclosure of Invention
The invention aims to provide a safety risk early warning and monitoring system and method based on a power grid engineering project, and the technical problems are solved.
The aim of the invention can be achieved by the following technical scheme:
a safety risk early warning and monitoring system based on a power grid engineering project comprises an acquisition module, a risk identification module, an early warning module and a controller;
the acquisition module comprises a mobile acquisition unit and a fixed acquisition unit, wherein the mobile acquisition unit periodically moves in a target area to acquire image parameters of the retaining wall surface in the target area, the fixed acquisition unit comprises a plurality of acquisition sensors, the acquisition sensors are buried in the retaining wall back in the target area in advance, and internal stress at the retaining wall back is acquired in real time;
the risk identification module is used for judging whether the safety of the retaining wall is at risk or not according to the parameters acquired by the acquisition module;
the early warning module sends out a corresponding early warning instruction according to the judgment result of the risk identification module;
the controller is used for controlling each module to work normally.
Through the technical scheme, the collection modules respectively collect the images of the retaining wall surface periodically through the movable collection units, collect the internal stress of the back of the retaining wall surface in real time through the fixed collection units, and the risk identification module determines the cracking degree A of the retaining wall surface through the images of the retaining wall surface, determines the cracking degree j of the retaining wall surface and the probability that the retaining wall collapses due to the corresponding grade and the cracking degree A of the retaining wall surface is K j Meanwhile, determining the consumption of repairing materials in a cracking area through the wall surface image of the retaining wall; the risk identification module determines probability K of collapse of the retaining wall caused by internal stress at the back of the retaining wall through the internal stress at the back of the retaining wall F The method comprises the steps of carrying out a first treatment on the surface of the Finally, through K j And K F And determining the probability K of collapse of the retaining wall.
As a further description of the solution of the present invention, the working process of the risk identification module includes:
step SS100, acquiring a retaining wall surface image acquired by a mobile acquisition unit;
step SS200, intercepting a cracking area in a wall surface image;
step SS300, obtaining the areas of all the cracking areas, and calculating the cracking degree A of the retaining wall surface according to the following formula:
wherein A is the cracking degree of the retaining wall surface, S max Is the maximum area cracking area S min Is the area of the minimum-area fracture zone,is the average area of the cracking zone;
step SS400, comparing the cracking degree A of the wall surface of the current retaining wall with a preset threshold value interval corresponding to various cracking grades to obtain a wall surface cracking grade j of a target area, wherein the probability of collapse of the retaining wall caused by different wall surface cracking grades j is K j And corresponding early warning is sent out through an early warning module;
and step SS500, estimating the material consumption for repairing the cracking areas according to the areas of all the cracking areas.
Through the technical scheme, the risk identification module obtains the areas of all cracking areas and then according to the formulaSolving the cracking degree A of the wall surface of the retaining wall, and then comparing the cracking degree A of the wall surface of the current retaining wall with a preset threshold value interval corresponding to various cracking grades to obtain the wall surface cracking grade j of the target area, wherein the probability of collapse of the retaining wall caused by different wall surface cracking grades j is K j And corresponding early warning is sent out through an early warning module.
As a further description of the scheme of the present invention, the average area of the cracking zone in step SS300The method comprises the following steps:
wherein n is the number of target cracking areas S 1 、S 2 …、S n The areas of the nth cracking areas are respectively shown.
As a further description of the present embodiment, the estimated amount of the material for repairing the cracked region in step SS500 is obtained by the following formula:
wherein n is the number of cracking regions,repair coefficient for the ith cracking zone S i Is the area of the cracking area at the ith, g (h i ) And mu is a compensation coefficient and is a depth function of the cracking area at the ith.
As a further description of the solution of the present invention, the following is mentionedThe repair coefficient of the cracking zone at the ith is related to the repair difficulty degree of the zone, and the higher the repair difficulty degree is +>The larger, vice versa>The smaller;
the compensation coefficient mu is related to the cracking degree P, and the larger the cracking degree P is, the larger the compensation coefficient mu is, and otherwise, the smaller the compensation coefficient mu is.
As a further description of the scheme of the invention, the repair difficulty level is related to the perimeter of the cracking area at the i-th position, the greater the perimeter of the cracking area at the i-th position is obtained, which means that the higher the special-shaped degree of the area is, the greater the repair difficulty level is.
Through the technical scheme, according to the area of the cracking areaFormula (VI) The consumption of the repairing material is estimated, so that the repairing consumable is convenient to manage.
As a further description of the solution of the present invention, the working process of the risk identification module further includes:
step SSS100, obtaining stress parameters F acquired by all acquisition sensors of the fixed acquisition unit i If the stress parameter is larger than the preset threshold value, the stress parameter is an abnormal stress parameter;
step SSS200, calculating any stress parameter F by i Stability sigma of (2) i ：
In the method, in the process of the invention,the stress parameter mean value is the number of acquisition sensors;
step SSS300, stability σ i Compared with a preset threshold value, if the stability sigma i If the stress is larger than the preset threshold value, the stress is a suspicious stress parameter;
step SSS400, determining a first duty cycle P of all suspicious stress parameters to all stress parameters 1 ；
Step SSS500, determining a second duty cycle P of all abnormal stress parameters to all stress parameters 2 ；
Step SSS600, determining a third duty cycle P of all suspicious stress parameters and all abnormal stress parameters 3 ；
Step SSS600, determining the probability of collapse of the retaining wall caused by internal stress at the back of the wall according to the following steps:
K F ＝P 1 +P 2 -P 2 *P 3 ；
if the probability K F And when the preset threshold is reached, a corresponding early warning is sent out through an early warning module.
Through the technical scheme, the stress parameters F acquired by all the acquisition sensors of the acquisition unit are fixed i Judging abnormal stress parameters, and then according to a formulaSolving any stress parameter F i Stability sigma of (2) i And through the stability sigma i Judging suspicious stress parameters, and then obtaining probability K of collapse of the retaining wall caused by internal stress at the back of the wall according to the suspicious stress parameters and abnormal stress parameters F 。
As a further description of the solution of the present invention, the method for determining the probability of collapse of the retaining wall by the risk identification module includes:
will K j 、K F Substitution formulaWherein K is the probability of collapse of the retaining wall, ">And ω are weight coefficients, respectively, and +.>
Through the technical scheme, K is calculated j 、K F Substitution formulaAnd solving the collapse probability K of the retaining wall.
A monitoring method of a security risk early warning monitoring system based on a power grid engineering project, the method comprising the following steps:
step S1, periodically acquiring a retaining wall surface image through a mobile acquisition unit, and acquiring internal stress at the back of the retaining wall in real time through a fixed acquisition unit;
s2, determining the cracking degree A of the retaining wall surface through the retaining wall surface image by the risk identification module, and determining the cracking degree j of the retaining wall surface and the probability of collapse of the retaining wall caused by the corresponding grade as K through the cracking degree A of the retaining wall surface j ；
S3, determining the consumption of repairing materials of the cracking area through the retaining wall surface image;
s4, determining the probability K of collapse of the retaining wall caused by the internal stress at the back of the retaining wall by the risk identification module through the internal stress at the back of the retaining wall F ；
Step S5, passing through K j And K F And determining the probability K of collapse of the retaining wall.
The invention has the beneficial effects that:
1. the risk identification module obtains the areas of all cracking areas and then according to the formulaSolving the cracking degree A of the wall surface of the retaining wall, and then comparing the cracking degree A of the wall surface of the current retaining wall with a preset threshold value interval corresponding to various cracking grades to obtain the wall surface cracking grade j of the target area, wherein the probability of collapse of the retaining wall caused by different wall surface cracking grades j is K j And corresponding early warning is sent out through an early warning module.
2. The invention simultaneously passes the formula according to the area of the cracking area The consumption of the repairing material is estimated, so that the repairing consumable is convenient to manage.
3. The invention fixes the stress parameters F acquired by all the acquisition sensors of the acquisition unit i Judging abnormal stress parameters, and then according to a formulaSolving any stress parameter F i Stability sigma of (2) i And through the stability sigma i Judging suspicious stress parameters, and then obtaining probability K of collapse of the retaining wall caused by internal stress at the back of the wall according to the suspicious stress parameters and abnormal stress parameters F 。
4. According to the invention, the collapse change probability of the retaining wall is judged according to the cracking condition of the wall surface and the stress condition of the back wall, so that the safety risk of the power grid project is monitored and early-warned on line, and an auxiliary decision basis and technical support are provided for the safety maintenance work of the power grid project.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a security risk early warning monitoring system based on a power grid engineering project provided by the invention;
fig. 2 is a schematic flow diagram of a portion of a working method of the security risk early warning and monitoring system based on a power grid engineering project.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described 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.
Referring to fig. 1, the invention relates to a safety risk early warning and monitoring system based on a power grid engineering project, which comprises an acquisition module, a risk identification module, an early warning module and a controller;
the acquisition module comprises a mobile acquisition unit and a fixed acquisition unit, wherein the mobile acquisition unit periodically moves in a target area to acquire image parameters of the retaining wall surface in the target area, the fixed acquisition unit comprises a plurality of acquisition sensors, the acquisition sensors are buried in the retaining wall back in the target area in advance, and internal stress at the retaining wall back is acquired in real time;
the risk identification module is used for judging whether the safety of the retaining wall is at risk or not according to the parameters acquired by the acquisition module;
the early warning module sends out a corresponding early warning instruction according to the judgment result of the risk identification module;
the controller is used for controlling each module to work normally.
Through the technical scheme, the collection modules respectively collect the images of the retaining wall surface periodically through the movable collection units, collect the internal stress of the back of the retaining wall surface in real time through the fixed collection units, and the risk identification module determines the cracking degree A of the retaining wall surface through the images of the retaining wall surface, determines the cracking degree j of the retaining wall surface and the probability that the retaining wall collapses due to the corresponding grade and the cracking degree A of the retaining wall surface is K j Meanwhile, determining the consumption of repairing materials in a cracking area through the wall surface image of the retaining wall; the risk identification module determines probability K of collapse of the retaining wall caused by internal stress at the back of the retaining wall through the internal stress at the back of the retaining wall F The method comprises the steps of carrying out a first treatment on the surface of the Finally, through K j And K F And determining the probability K of collapse of the retaining wall.
As a further description of the solution of the present invention, the working process of the risk identification module includes:
step SS100, acquiring a retaining wall surface image acquired by a mobile acquisition unit;
step SS200, intercepting a cracking area in a wall surface image;
step SS300, obtaining the areas of all the cracking areas, and calculating the cracking degree A of the retaining wall surface according to the following formula:
wherein A is the cracking degree of the retaining wall surface, S max Is the maximum area cracking area S min Is the area of the minimum-area fracture zone,is the average area of the cracking zone;
step SS400, the wall surface of the current retaining wallComparing the cracking degree A with a preset threshold value interval corresponding to various cracking grades to obtain wall cracking grade j of a target area, wherein the probability of collapse of the retaining wall caused by different wall cracking grades j is K j And corresponding early warning is sent out through an early warning module;
and step SS500, estimating the material consumption for repairing the cracking areas according to the areas of all the cracking areas.
Through the technical scheme, the risk identification module obtains the areas of all cracking areas and then according to the formulaSolving the cracking degree A of the wall surface of the retaining wall, and then comparing the cracking degree A of the wall surface of the current retaining wall with a preset threshold value interval corresponding to various cracking grades to obtain the wall surface cracking grade j of the target area, wherein the probability of collapse of the retaining wall caused by different wall surface cracking grades j is K j And corresponding early warning is sent out through an early warning module.
Wherein the probability of collapse of the retaining wall caused by the wall surface cracking grade j and different wall surface cracking grades j is K j The method comprises the steps of obtaining through a trained neural network, taking the cracking degree A of the retaining wall surface and local environmental factors as input quantity, taking output quantity as wall surface cracking grade j, and then taking the wall surface cracking grade j as input quantity, obtaining the probability that the retaining wall collapses due to different wall surface cracking grades j through output quantity as K j 。
As a further description of the scheme of the present invention, the average area of the cracking zone in step SS300The method comprises the following steps:
wherein n is the number of target cracking areas S 1 、S 2 …、S n The areas of the nth cracking areas are respectively shown.
As a further description of the present embodiment, the estimated amount of the material for repairing the cracked region in step SS500 is obtained by the following formula:
wherein n is the number of cracking regions,repair coefficient for the ith cracking zone S i Is the area of the cracking area at the ith, g (h i ) And mu is a compensation coefficient and is a depth function of the cracking area at the ith.
As a further description of the solution of the present invention, the following is mentionedThe repair coefficient of the cracking zone at the ith is related to the repair difficulty degree of the zone, and the higher the repair difficulty degree is +>The larger, vice versa>The smaller;
the compensation coefficient mu is related to the cracking degree P, and the larger the cracking degree P is, the larger the compensation coefficient mu is, and otherwise, the smaller the compensation coefficient mu is.
As a further description of the scheme of the invention, the repair difficulty level is related to the perimeter of the cracking area at the i-th position, the greater the perimeter of the cracking area at the i-th position is obtained, which means that the higher the special-shaped degree of the area is, the greater the repair difficulty level is.
Through the technical scheme, the area of the cracking area is calculated according to the formula The consumption of the repairing material is estimated, so that the repairing consumable is convenient to manage.
As a further description of the solution of the present invention, the working process of the risk identification module further includes:
step SSS100, obtaining stress parameters F acquired by all acquisition sensors of the fixed acquisition unit i If the stress parameter is larger than the preset threshold value, the stress parameter is an abnormal stress parameter;
step SSS200, calculating any stress parameter F by i Stability sigma of (2) i ：
In the method, in the process of the invention,the stress parameter mean value is the number of acquisition sensors;
step SSS300, stability σ i Compared with a preset threshold value, if the stability sigma i If the stress is larger than the preset threshold value, the stress is a suspicious stress parameter;
step SSS400, determining a first duty cycle P of all suspicious stress parameters to all stress parameters 1 ；
Step SSS500, determining a second duty cycle P of all abnormal stress parameters to all stress parameters 2 ；
Step SSS600, determining a third duty cycle P of all suspicious stress parameters and all abnormal stress parameters 3 ；
Step SSS600, determining the probability of collapse of the retaining wall caused by internal stress at the back of the wall according to the following steps:
K F ＝P 1 +P 2 -P 2 *P 3 ；
if the probability K F And when the preset threshold is reached, a corresponding early warning is sent out through an early warning module.
Through the technical scheme, all acquisition and transmission of the acquisition unit are fixedStress parameter F collected by sensor i Judging abnormal stress parameters, and then according to a formulaSolving any stress parameter F i Stability sigma of (2) i And through the stability sigma i Judging suspicious stress parameters, and then obtaining probability K of collapse of the retaining wall caused by internal stress at the back of the wall according to the suspicious stress parameters and abnormal stress parameters F 。
Wherein sigma i Is characterized by variance of stress parameter F i The greater the variance, the more unstable the data, and the greater the probability of failure; the variance is larger than the corresponding preset threshold value to indicate the stress parameter F i Less stable, suspicious data.
As a further description of the solution of the present invention, the method for determining the probability of collapse of the retaining wall by the risk identification module includes:
will K j 、K F Substitution formulaWherein K is the probability of collapse of the retaining wall, ">And ω are weight coefficients, respectively, and +.>
Through the technical scheme, K is calculated j 、K F Substitution formulaAnd solving the collapse probability K of the retaining wall.
A monitoring method of a security risk early warning monitoring system based on a power grid engineering project, the method comprising the following steps:
step S1, periodically acquiring a retaining wall surface image through a mobile acquisition unit, and acquiring internal stress at the back of the retaining wall in real time through a fixed acquisition unit;
s2, determining the cracking degree A of the retaining wall surface through the retaining wall surface image by the risk identification module, and determining the cracking degree j of the retaining wall surface and the probability of collapse of the retaining wall caused by the corresponding grade as K through the cracking degree A of the retaining wall surface j ；
S3, determining the consumption of repairing materials of the cracking area through the retaining wall surface image;
s4, determining the probability K of collapse of the retaining wall caused by the internal stress at the back of the retaining wall by the risk identification module through the internal stress at the back of the retaining wall F ；
Step S5, passing through K j And K F And determining the probability K of collapse of the retaining wall.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.

Claims (6)

1. The safety risk early warning and monitoring system based on the power grid engineering project is characterized by comprising an acquisition module, a risk identification module, an early warning module and a controller;
the acquisition module comprises a mobile acquisition unit and a fixed acquisition unit, wherein the mobile acquisition unit periodically moves in a target area to acquire image parameters of the retaining wall surface in the target area, the fixed acquisition unit comprises a plurality of acquisition sensors, the acquisition sensors are buried in the retaining wall back in the target area in advance, and internal stress at the retaining wall back is acquired in real time;
the risk identification module is used for judging whether the safety of the retaining wall is at risk or not according to the parameters acquired by the acquisition module;
the early warning module sends out a corresponding early warning instruction according to the judgment result of the risk identification module;
the controller is used for controlling each module to work normally;
the working process of the risk identification module comprises the following steps:
step SS100, acquiring a retaining wall surface image acquired by a mobile acquisition unit;
step SS200, intercepting a cracking area in a wall surface image;
step SS300, obtaining the areas of all the cracking areas, and calculating the cracking degree A of the retaining wall surface according to the following formula:
wherein A is the cracking degree of the retaining wall surface, S max Is the maximum area cracking area S min Is the area of the minimum-area fracture zone,is the average area of the cracking zone;
step SS400, comparing the cracking degree A of the wall surface of the current retaining wall with a preset threshold value interval corresponding to various cracking grades to obtain a wall surface cracking grade j of a target area, wherein the probability of collapse of the retaining wall caused by different wall surface cracking grades j is K j And corresponding early warning is sent out through an early warning module;
step SS500, estimating the material consumption for repairing the cracking areas according to the areas of all the cracking areas;
the working process of the risk identification module further comprises the following steps:
step SSS100, obtaining stress parameters F acquired by all acquisition sensors of the fixed acquisition unit i If the stress parameter is larger than the preset threshold value, the stress parameter is an abnormal stress parameter;
step SSS200, calculating any stress parameter F by i Stability sigma of (2) i ：
In the method, in the process of the invention,the stress parameter mean value is the number of acquisition sensors;
step SSS300, stability σ i Compared with a preset threshold value, if the stability sigma i If the stress is larger than the preset threshold value, the stress is a suspicious stress parameter;
step SSS400, determining a first duty cycle P of all suspicious stress parameters to all stress parameters 1 ；
Step SSS500, determining a second duty cycle P of all abnormal stress parameters to all stress parameters 2 ；
Step SSS600, determining a third duty cycle P of all suspicious stress parameters and all abnormal stress parameters 3 ；
Step SSS600, determining the probability of collapse of the retaining wall caused by internal stress at the back of the wall according to the following steps:
K F ＝P 1 +P 2 -P 2 *P 3 ；
if the probability K F When the preset threshold is reached, a corresponding early warning is sent out through an early warning module;
the method for determining the collapse probability of the retaining wall by the risk identification module comprises the following steps:
will K j 、K F Substitution formulaWherein K is the probability of collapse of the retaining wall, ">And ω are weight coefficients, respectively, and +.>
2. The system for early warning and monitoring of safety risk based on the project of power grid engineering according to claim 1, wherein the average area of the cracking area in the step SS300 isThe method comprises the following steps:
wherein n is the number of target cracking areas S 1 、S 2 …、S n The areas of the nth cracking areas are respectively shown.
3. The system for early warning and monitoring of safety risk based on the power grid engineering project according to claim 1, wherein the estimated material consumption of the step SS500 for repairing the cracked area is obtained by the following formula:
wherein n is the number of cracking regions,repair coefficient for the ith cracking zone S i Is the area of the cracking area at the ith, g (h i ) And mu is a compensation coefficient and is a depth function of the cracking area at the ith.
4. A security risk early warning and monitoring system based on a power grid engineering project according to claim 3, wherein the system comprisesThe repair coefficient of the cracking zone at the ith is related to the repair difficulty degree of the zone, and the higher the repair difficulty degree is +>The larger, vice versa>The smaller;
the compensation coefficient mu is related to the cracking degree P, and the larger the cracking degree P is, the larger the compensation coefficient mu is, and otherwise, the smaller the compensation coefficient mu is.
5. The system for early warning and monitoring of safety risk based on a power grid engineering project according to claim 4, wherein the repair difficulty level is related to the perimeter of the ith cracking area, the perimeter of the ith cracking area is obtained, and the greater the perimeter is, the higher the special-shaped degree of the area is, the greater the repair difficulty level is.
6. A method of monitoring a grid engineering project based security risk early warning monitoring system according to any one of claims 1 to 5, the method comprising the steps of:
step S1, periodically acquiring a retaining wall surface image through a mobile acquisition unit, and acquiring internal stress at the back of the retaining wall in real time through a fixed acquisition unit;
s2, determining the cracking degree A of the retaining wall surface through the retaining wall surface image by the risk identification module, and determining the cracking degree j of the retaining wall surface and the probability of collapse of the retaining wall caused by the corresponding grade as K through the cracking degree A of the retaining wall surface j ；
S3, determining the consumption of repairing materials of the cracking area through the retaining wall surface image;
s4, determining the probability K of collapse of the retaining wall caused by the internal stress at the back of the retaining wall by the risk identification module through the internal stress at the back of the retaining wall F ；
Step S5, passing through K j And K F And determining the probability K of collapse of the retaining wall.
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