CN116152009A - Tunnel geological monitoring management system based on big data - Google Patents
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Abstract
The invention discloses a tunnel geological monitoring management system based on big data, which belongs to the field of tunnels and is used for solving the problem of how to improve the accuracy of tunnel geological monitoring results, and comprises a region demarcation module, a geological sampling module, a sample analysis module, a history monitoring module, an environment monitoring module, a data processing module, an influence analysis module and a hidden danger grading module; the region demarcation module demarcates a geological monitoring region; the geological sampling module acquires soil samples and rock samples; the sample analysis module analyzes a geological sample of the geological monitoring area; the history monitoring module monitors the history geological movement; the environment monitoring module monitors the surrounding environment of the geological monitoring area; the data processing module analyzes the monitoring result of the geological monitoring area; the influence analysis module analyzes regional influence data of the geological monitoring region; the hidden danger grading module judges the grade of the geological hidden danger; the intelligent monitoring system and the intelligent monitoring method realize intelligent monitoring of the geological conditions of the peripheral area of the tunnel based on geological sampling and environmental factors.
Description
Technical Field
The invention belongs to the field of tunnels, relates to a geological monitoring technology, and particularly relates to a tunnel geological monitoring management system based on big data.
Background
The tunnel is an engineering building embedded in the ground, is a form of utilizing underground space by human beings, and the structure of the tunnel comprises a main building and auxiliary equipment, wherein the main building consists of a tunnel body and a tunnel door, the auxiliary equipment comprises a car shelter, a fire protection facility, an emergency communication and water-proof facility, and the long tunnel is provided with special ventilation and illumination equipment.
In the prior art, a drilling technology is generally adopted for geological monitoring around a tunnel, the monitoring distance is limited by the drilling length, and the monitoring result is limited to geological conditions within the monitoring distance, so that the monitoring result is insufficient for accurately and comprehensively reflecting the geological conditions of the area around the tunnel; moreover, the drilling technology is adopted to monitor the whole tunnel, so that the time and the labor are wasted, and in order to monitor the geological conditions around the tunnel more accurately and comprehensively, a tunnel geological monitoring management system based on big data is provided.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a tunnel geological monitoring management system based on big data.
The technical problems to be solved by the invention are as follows:
how to improve the accuracy of geological condition monitoring of the peripheral area of the tunnel.
The aim of the invention can be achieved by the following technical scheme:
a tunnel geological monitoring management system based on big data comprises a monitoring terminal, a region demarcation module, a geological sampling module, a sample analysis module, a history monitoring module, an environment monitoring module, a data processing module, an influence analysis module, a hidden danger grading module and a server;
the monitoring terminal is used for importing scale data of the tunnel and sending the scale data to the area demarcation module through the server; the region demarcation module demarcates a geological monitoring region of the tunnel according to the scale data and sends the geological monitoring region to the geological sampling module, the history monitoring module and the environment monitoring module through the server;
the geological sampling module is used for sampling soil and rock stratum of a geological monitoring area and transferring soil samples and rock samples to the sample analysis module;
the sample analysis module is used for analyzing soil samples and rock samples of the geological monitoring area to obtain soil monitoring data and rock monitoring data of the geological monitoring area and sending the soil monitoring data and the rock monitoring data to the data processing module through the server;
the historical monitoring module is used for monitoring historical geological movement of the geological monitoring area, and historical geological movement data of the geological monitoring area are obtained and sent to the data processing module through the server;
the environment monitoring module is used for monitoring the surrounding environment of the geological monitoring area, and the obtained environment monitoring data of the geological monitoring area are sent to the data processing module through the server;
the data processing module is used for analyzing and calculating monitoring results of monitoring the geological monitoring area, and obtaining area influence data and sending the area influence data to the influence analysis module through the server;
the influence analysis module is used for analyzing regional influence data of the geological monitoring region, obtaining geological hidden danger values of the geological monitoring region and sending the geological hidden danger values to the hidden danger grading module through the server;
the hidden danger grading module is used for judging the geological hidden danger grade of the area around the tunnel, and the obtained geological hidden danger grade of the geological monitoring area is sent to the monitoring terminal through the server; the monitoring terminal is used for displaying the geological hidden trouble grade of the geological monitoring area.
Further, the scale data includes a length, a width, and a height of the tunnel;
the soil quality monitoring data comprise soil shear strength, soil water content and soil porosity of the geological monitoring area;
the rock quality monitoring data includes formation strength, formation density and formation thickness of the geological monitoring region;
the historical geological movement data comprise historical average magnitude, historical earthquake times and historical sedimentation values of a geological monitoring area;
the environmental monitoring data comprise vegetation coverage and average precipitation of the geological monitoring area;
the zone influence data includes soil, rock, geological movement and environmental influence values of the geological monitoring zone.
Further, the process of analyzing and calculating by the data processing module is specifically as follows:
reading soil quality monitoring data to obtain soil shear strength, soil water content and soil porosity of a geological monitoring area; calculating a soil property influence value of the geological monitoring area;
reading rock monitoring data to obtain the rock stratum strength, the rock stratum density and the rock stratum thickness of a geological monitoring area; calculating a rock quality influence value of the geological monitoring area;
reading historical geological movement data to obtain historical average earthquake magnitude, historical earthquake times and historical sedimentation values of a geological monitoring area; calculating a geological motion influence value of a geological monitoring area;
the environmental monitoring data are read to obtain vegetation coverage and average precipitation of the geological monitoring area; and calculating the environmental impact value of the geological monitoring area.
Further, the module analysis process of the impact analysis is specifically as follows:
reading the regional influence data to obtain a soil property influence value, a rock property influence value, a geological movement influence value and an environment influence value of the geological monitoring region;
and calculating the geological hidden trouble value of the geological monitoring area.
Further, the judging process of the hidden danger grading module specifically comprises the following steps:
comparing the geological hidden danger value of the geological monitoring area with a geological hidden danger threshold;
if the potential geological hazard value is smaller than or equal to the first potential geological hazard threshold, the potential geological hazard level of the geological monitoring area is a third potential geological hazard level;
if the potential geological hazard value is greater than the first potential geological hazard threshold and less than or equal to the second potential geological hazard threshold, the potential geological hazard level of the geological monitoring area is the second potential geological hazard level;
and if the potential geological hazard value is greater than the second potential geological hazard threshold, the potential geological hazard level of the geological monitoring area is the first potential geological hazard level.
Further, the value of the first potential risk threshold is less than the value of the second potential risk threshold, the level of the third potential risk level is less than the level of the second potential risk level, and the level of the second potential risk level is less than the level of the first potential risk level.
A working method of a tunnel geological monitoring management system based on big data comprises the following steps:
step S100: the monitoring terminal imports the scale data of the tunnel and sends the scale data to the region demarcation module, and the region demarcation module demarcates a geological monitoring region of the tunnel according to the scale data and sends the geological monitoring region to the geological sampling module, the history monitoring module and the environment monitoring module;
step S200: the method comprises the steps that a geological sampling module samples soil and rock stratum of a geological monitoring area to obtain a soil sample and a rock sample of the geological monitoring area, the soil sample and the rock sample of the geological monitoring area are transported to a sample analysis module, the geological sample of the geological monitoring area is analyzed by the sample analysis module, and soil monitoring data and rock monitoring data of the geological monitoring area are obtained and sent to a data processing module;
step S300: the historical monitoring module monitors historical geological movement of the geological monitoring area, obtains historical average earthquake magnitude, historical earthquake times and historical sedimentation values of the geological monitoring area and sends the historical average earthquake magnitude, the historical earthquake times and the historical sedimentation values to the data processing module;
step S400: the environment monitoring module monitors the surrounding environment of the geological monitoring area, obtains vegetation coverage rate and average precipitation of the geological monitoring area and sends the vegetation coverage rate and the average precipitation to the data processing module;
step S500: the data processing module analyzes and calculates the influence factors of tunnel safety in the geological monitoring area to obtain a soil influence value, a rock influence value, a mass movement influence value and an environment influence value of the geological monitoring area, and the soil influence value, the rock influence value, the mass movement influence value and the environment influence value are sent to the influence analysis module;
step S600: the influence analysis module analyzes the area influence data of the geological monitoring area, analyzes the obtained geological hidden trouble value of the geological monitoring area and sends the obtained geological hidden trouble value to the hidden trouble grading module;
step S700: the hidden danger grading module judges the geological hidden danger grade of the area around the tunnel, the geological hidden danger grade of the geological monitoring area is obtained and sent to the monitoring terminal, and the monitoring terminal displays the geological hidden danger grade of the geological monitoring area.
Compared with the prior art, the invention has the beneficial effects that:
according to the method, a geological monitoring area of a tunnel is defined according to scale data through an area definition module and is sent to a geological sampling module, a history monitoring module and an environment monitoring module, the geological sampling module samples soil and rock stratum of the geological monitoring area to obtain a soil sample and a rock sample of the geological monitoring area, the soil sample and the rock sample of the geological monitoring area are transported to a sample analysis module, on one hand, the geological sample of the geological monitoring area is analyzed by the sample analysis module to obtain soil monitoring data and rock monitoring data of the geological monitoring area and are sent to a data processing module, on the other hand, the history monitoring module is used for monitoring historical geological movement of the geological monitoring area to obtain historical average earthquake magnitude, historical earthquake times and historical sedimentation values of the geological monitoring area and are sent to the data processing module, finally, the environment monitoring module is used for monitoring the surrounding environment of the geological monitoring area to obtain vegetation coverage rate and average precipitation of the geological monitoring area and are sent to the data processing module;
according to the method, the data processing module is utilized to analyze and calculate the influence factors of tunnel safety in the geological monitoring area, the soil influence value, the rock influence value, the geological movement influence value and the environmental influence value of the geological monitoring area are obtained and sent to the influence analysis module, the area influence data of the geological monitoring area are analyzed through the influence analysis module, the geological hidden danger value of the geological monitoring area is obtained through analysis and sent to the hidden danger grading module, finally the geological hidden danger grade of the area around the tunnel is judged through the hidden danger grading module, and the geological hidden danger grade of the geological monitoring area is obtained.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is an overall system block diagram of the present invention;
FIG. 2 is a schematic diagram illustrating the operation of the zoning module according to the present invention;
fig. 3 is a flow chart of the operation of the present 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, 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.
In one embodiment, referring to fig. 1-2, a tunnel geological monitoring management system based on big data includes a monitoring terminal, a region demarcation module, a geological sampling module, a sample analysis module, a history monitoring module, an environment monitoring module, a data processing module, an influence analysis module, a hidden danger grading module and a server;
the monitoring terminal is used for importing the scale data of the tunnel and sending the scale data of the tunnel to the server, and the server sends the scale data of the tunnel to the region demarcation module; the scale data of the tunnel comprises the length, the width and the height of the tunnel;
the region demarcation module is used for demarcating a region range which has geological influence on the tunnel according to the scale data of the tunnel, and defining the region range which has geological influence on the tunnel as a geological monitoring region of the tunnel;
specifically, referring to fig. 2, the length of the geological monitoring area is equal to the length of the tunnel, the width of the geological monitoring area is equal to three times of the width of the tunnel, and the height of the geological monitoring area is equal to two times of the height of the tunnel;
the region demarcation module sends the geological monitoring region to a server, and the server sends the geological monitoring region to a geological sampling module, a history monitoring module and an environment monitoring module;
the geological sampling module is used for sampling soil and rock stratum of a geological monitoring area, specifically, soil samples and rock samples can be obtained through equipment such as a core drilling machine, and the like, and the method is not particularly limited;
the geological sampling module transfers the soil sample and the rock sample of the geological monitoring area to the sample analysis module; the sample analysis module is used for analyzing a geological sample of a geological monitoring area, the geological sample comprises a soil sample and a rock sample, and the concrete process of the module work is as follows:
analyzing a soil sample of the geological monitoring area to obtain soil monitoring data of the geological monitoring area, wherein the soil monitoring data comprise soil shear strength, soil water content and soil porosity of the geological monitoring area; analyzing a rock sample of the geological monitoring area to obtain rock monitoring data of the geological monitoring area, wherein the rock monitoring data comprise the rock stratum intensity, the rock stratum density and the rock stratum thickness of the geological monitoring area;
the sample analysis module sends soil monitoring data and rock monitoring data of the geological monitoring area to the server, and the server sends the soil monitoring data and the rock monitoring data of the geological monitoring area to the data processing module;
in this embodiment, the history monitoring module is configured to monitor a history geological motion of a geological monitoring area, and the monitoring process specifically includes:
the historical monitoring module is connected with a big data network, the historical earthquake condition of the geological monitoring area is monitored through the big data network to obtain the historical earthquake magnitude and the historical earthquake times of the geological monitoring area, and the historical earthquake magnitude values of the geological monitoring area are added, summed and averaged to obtain the historical average earthquake magnitude of the geological monitoring area; monitoring the relative depth of the bottom of the tunnel, specifically, obtaining a relative depth value of the bottom of the tunnel by monitoring the height difference between the bottom of the tunnel and a reference ground plane, and subtracting the past relative depth value from the current relative depth value of the bottom of the tunnel to obtain a historical sedimentation value of a geological monitoring area;
the historical monitoring module sends historical geological movement data of the geological monitoring area to a server, and the server sends the historical geological movement data of the geological monitoring area to the data processing module;
the historical geological movement data comprise historical average earthquake magnitude, historical earthquake times and historical sedimentation values of a geological monitoring area;
in this embodiment, the environment monitoring module is configured to monitor a surrounding environment of a geological monitoring area, and the monitoring process specifically includes:
acquiring environment monitoring data of a geological monitoring area, wherein the environment monitoring data comprise vegetation coverage rate and average precipitation of the geological monitoring area, and in the actual working process, a vegetation distribution image of the geological monitoring area can be shot through an aerial unmanned aerial vehicle, and the vegetation coverage rate of the geological monitoring area is obtained according to the ratio of vegetation in an image space; collecting the total precipitation of the geological monitoring area in unit days, and calculating the total precipitation of the geological monitoring area divided by the unit days to obtain the average precipitation of the geological monitoring area;
the environment monitoring module sends environment monitoring data of the geological monitoring area to the server, and the server sends the environment monitoring data of the geological monitoring area to the data processing module;
further, the data processing module is used for analyzing and calculating influence factors of tunnel safety in the geological monitoring area, and the working process of the module is specifically as follows:
step P1: reading soil quality monitoring data to obtain soil shear strength KJ, soil water content HS and soil porosity KX of a geological monitoring area;
calculating according to a formula LE= (HS multiplied by KX)/KJ to obtain a soil quality influence value LE of the geological monitoring area;
step P2: reading rock monitoring data to obtain the rock stratum intensity YQ, the rock stratum density YM and the rock stratum thickness YH of a geological monitoring area;
according to the formula re=1/yq×ym×yh, calculating to obtain a rock quality influence value RE of the geological monitoring area;
step P3: reading historical geological movement data to obtain a historical average earthquake level ZJ, historical earthquake times ZC and a historical sedimentation value CJ of a geological monitoring area;
calculating to obtain a geological movement influence value SE of the geological monitoring area according to a formula SE=ZJ×ZC×CJ;
step P4: reading environment monitoring data to obtain vegetation coverage rate ZB and average precipitation JS of a geological monitoring area;
calculating according to the formula ne=1/(zb×js) to obtain an environmental impact value NE of the geological monitoring area;
the data processing module sends the area influence data of the geological monitoring area to the server, and the server sends the area influence data of the geological monitoring area to the influence analysis module;
specifically, the region impact data includes a soil impact value, a rock impact value, a geological movement impact value, and an environmental impact value of the geological monitoring region;
in this embodiment, the impact analysis module is configured to analyze regional impact data of a geological monitoring region, where the analysis process is specifically as follows:
reading the regional influence data to obtain a soil influence value LE, a rock influence value RE, a geological movement influence value SE and an environment influence value NE of the geological monitoring region;
obtaining a geological hidden trouble value QR of the geological monitoring area according to QR= (LE+RE) xs1+SE xs2+NE xs 3; wherein, the soil property influence value, the rock property influence value, the geological motion influence value and the environmental influence value are in a direct proportion relation with the geological hidden trouble value, s1, s2 and s3 are proportion coefficients with fixed values, the values of s1, s2 and s3 are all larger than 0, and when in specific implementation, the value of s1 can be 0.13, the value of s2 can be 0.25, the value of s3 can be 0.33, the specific value of the proportion coefficient is only an example, as long as the proportion coefficient does not influence the positive-negative proportion relation between the parameter and the result value;
the influence analysis module sends the geological hidden trouble value of the geological monitoring area to a server, and the server sends the geological hidden trouble value of the geological monitoring area to the hidden trouble grading module;
specifically, the hidden danger grading module is used for judging the geological hidden danger grade of the surrounding area of the tunnel, and the judging process is specifically as follows:
comparing the geological hidden danger value of the geological monitoring area with a geological hidden danger threshold;
if the potential geological hazard value is smaller than or equal to the first potential geological hazard threshold, the potential geological hazard level of the geological monitoring area is a third potential geological hazard level;
if the potential geological hazard value is greater than the first potential geological hazard threshold and less than or equal to the second potential geological hazard threshold, the potential geological hazard level of the geological monitoring area is the second potential geological hazard level;
if the potential geological hazard value is larger than the second potential geological hazard threshold, the potential geological hazard level of the geological monitoring area is the first potential geological hazard level; the value of the first potential geological hazard threshold is smaller than the value of the second potential geological hazard threshold, the specific value of the first potential geological hazard threshold can be 5, the specific value of the second potential geological hazard threshold can be 15, the specific value of the above potential geological hazard threshold is only an example, so that the magnitude relation between the first potential geological hazard threshold and the second potential geological hazard threshold can be understood, as long as the value of the first potential geological hazard threshold is smaller than the value of the second potential geological hazard threshold, and meanwhile, the grade of the third potential geological hazard grade is lower than the grade of the second potential geological hazard grade, and the grade of the second potential geological hazard grade is lower than the grade of the first potential geological hazard grade;
the hidden danger grading module sends the geological hidden danger grade of the geological monitoring area to a server, and the server sends the geological hidden danger grade of the geological monitoring area to a monitoring terminal; the monitoring terminal is also used for displaying the geological hidden trouble grade of the geological monitoring area, and a worker carries out potential safety hazard investigation operation according to the geological hidden trouble grade when going to the tunnel;
according to the method, a geological monitoring area of a tunnel is defined according to scale data through an area definition module and is sent to a geological sampling module, a history monitoring module and an environment monitoring module, the geological sampling module samples soil and rock stratum of the geological monitoring area to obtain a soil sample and a rock sample of the geological monitoring area, the soil sample and the rock sample of the geological monitoring area are transported to a sample analysis module, on one hand, the geological sample of the geological monitoring area is analyzed by the sample analysis module to obtain soil monitoring data and rock monitoring data of the geological monitoring area and are sent to a data processing module, on the other hand, the history monitoring module is used for monitoring historical geological movement of the geological monitoring area to obtain historical average earthquake magnitude, historical earthquake times and historical sedimentation values of the geological monitoring area and are sent to the data processing module, finally, the environment monitoring module is used for monitoring the surrounding environment of the geological monitoring area to obtain vegetation coverage rate and average precipitation of the geological monitoring area and are sent to the data processing module;
according to the method, the data processing module is utilized to analyze and calculate the influence factors of tunnel safety in the geological monitoring area, the soil influence value, the rock influence value, the geological movement influence value and the environmental influence value of the geological monitoring area are obtained and sent to the influence analysis module, the area influence data of the geological monitoring area are analyzed through the influence analysis module, the geological hidden danger value of the geological monitoring area is obtained through analysis and sent to the hidden danger grading module, finally the geological hidden danger grade of the area around the tunnel is judged through the hidden danger grading module, and the geological hidden danger grade of the geological monitoring area is obtained.
In another embodiment, referring to fig. 3, based on another concept of the same invention, a working method of a tunnel geological monitoring management system based on big data is provided, and the working method includes:
step S100: the method comprises the steps that a monitoring terminal imports scale data of a tunnel and sends the scale data of the tunnel to a server, the server sends the scale data of the tunnel to a region demarcation module, the region demarcation module demarcates a region range which has geological influence on the tunnel according to the scale data, a geological monitoring region of the tunnel is obtained and sent to the server, and the server sends the geological monitoring region to a geological sampling module, a history monitoring module and an environment monitoring module;
step S200: sampling soil and rock stratum of the geological monitoring area through a geological sampling module to obtain a soil sample and a rock sample of the geological monitoring area, transferring the soil sample and the rock sample of the geological monitoring area to a sample analysis module, analyzing the geological sample of the geological monitoring area by using the sample analysis module to obtain soil monitoring data and rock monitoring data of the geological monitoring area, and sending the soil monitoring data and the rock monitoring data of the geological monitoring area to a server by the server;
step S300: simultaneously, monitoring historical geological movement of a geological monitoring area by using a historical monitoring module to obtain historical earthquake magnitude and historical earthquake times of the geological monitoring area, adding and summing the values of the historical earthquake magnitude of the geological monitoring area to obtain a mean value to obtain the historical average magnitude of the geological monitoring area, monitoring the relative depth of the bottom of the tunnel, monitoring the height difference between the bottom of the tunnel and a reference ground plane to obtain a relative depth value of the bottom of the tunnel, subtracting the past relative depth value from the current relative depth value of the bottom of the tunnel to obtain the historical sedimentation value of the geological monitoring area, and transmitting the historical average magnitude, the historical earthquake times and the historical sedimentation value of the geological monitoring area to a server by the historical monitoring module, wherein the server transmits the historical average magnitude, the historical earthquake times and the historical sedimentation value of the geological monitoring area to a data processing module;
step S400: the environment monitoring module monitors the surrounding environment of the geological monitoring area, acquires environment monitoring data of the geological monitoring area, obtains vegetation coverage rate and average precipitation of the geological monitoring area, and sends the vegetation coverage rate and the average precipitation of the geological monitoring area to the server;
step S500: the data processing module analyzes and calculates influence factors of tunnel safety in the geological monitoring area to obtain soil shear strength, soil water content and soil porosity of the geological monitoring area, calculates soil influence values of the geological monitoring area, calculates rock stratum strength, rock stratum density and rock stratum thickness of the geological monitoring area, obtains historical average earthquake level, historical earthquake times and historical sedimentation value of the geological monitoring area, calculates geological movement influence values of the geological monitoring area, finally obtains vegetation coverage rate and average precipitation of the geological monitoring area, calculates environment influence values of the geological monitoring area, and sends the soil influence values, the rock influence values, the mass movement influence values and the environment influence values of the geological monitoring area to the server, and the server sends the soil influence values, the rock influence values, the mass movement influence values and the environment influence values of the geological monitoring area to the influence analysis module;
step S600: the method comprises the steps that an influence analysis module analyzes regional influence data of a geological monitoring region to obtain a soil influence value, a rock influence value, a geological motion influence value and an environment influence value of the geological monitoring region, a geological hidden danger value of the geological monitoring region is calculated, the geological hidden danger value of the geological monitoring region is sent to a server by the influence analysis module, and the geological hidden danger value of the geological monitoring region is sent to a hidden danger grading module by the server;
step S700: the hidden danger grading module judges the hidden danger grade of the area around the tunnel, compares the hidden danger value of the geological monitoring area with the hidden danger threshold value, if the hidden danger value is smaller than or equal to the first hidden danger threshold value, the hidden danger grade of the geological monitoring area is the third hidden danger grade, if the hidden danger value is larger than the first hidden danger threshold value and smaller than or equal to the second hidden danger threshold value, the hidden danger grade of the geological monitoring area is the second hidden danger grade, if the hidden danger value is larger than the second hidden danger threshold value, the hidden danger grade of the geological monitoring area is the first hidden danger grade, the hidden danger grading module sends the hidden danger grade of the geological monitoring area to the server, the server sends the hidden danger grade of the geological monitoring area to the monitoring terminal, the monitoring terminal displays the hidden danger grade of the geological monitoring area, and staff goes to the tunnel for safety hidden danger investigation operation according to the hidden danger grade.
In the present application, if a corresponding calculation formula appears, the above calculation formulas are all dimensionality-removed and numerical calculation, and the size of the weight coefficient, the scale coefficient and other coefficients existing in the formulas is a result value obtained by quantizing each parameter, so long as the proportional relation between the parameter and the result value is not affected.
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 (6)
1. The tunnel geological monitoring management system based on big data is characterized by comprising a monitoring terminal, a region demarcation module, a geological sampling module, a sample analysis module, a history monitoring module, an environment monitoring module, a data processing module, an influence analysis module, a hidden danger grading module and a server;
the monitoring terminal is used for leading in the scale data of the tunnel and sending the scale data to the area demarcation module through the server;
the regional demarcation module is used for demarcating a geological monitoring region of the tunnel according to the scale data and transmitting the geological monitoring region to the geological sampling module, the history monitoring module and the environment monitoring module through the server;
the geological sampling module is used for sampling soil and rock stratum of a geological monitoring area and transferring the soil sample and the rock sample to the sample analysis module;
the sample analysis module is used for analyzing the soil sample and the rock sample of the geological monitoring area to obtain soil monitoring data and rock monitoring data of the geological monitoring area and sending the soil monitoring data and the rock monitoring data to the data processing module through the server;
the historical monitoring module is used for monitoring historical geological movement of the geological monitoring area, and obtaining historical geological movement data of the geological monitoring area and sending the historical geological movement data to the data processing module through the server;
the environment monitoring module is used for monitoring the surrounding environment of the geological monitoring area, and the obtained environment monitoring data of the geological monitoring area are sent to the data processing module through the server;
the data processing module is used for analyzing and calculating monitoring results of monitoring the geological monitoring area, and obtaining area influence data and sending the area influence data to the influence analysis module through the server;
the influence analysis module is used for analyzing the area influence data of the geological monitoring area, so that geological hidden danger values of the geological monitoring area are obtained and sent to the hidden danger grading module through the server;
the hidden danger grading module is used for judging the geological hidden danger grade of the area around the tunnel, and the obtained geological hidden danger grade of the geological monitoring area is sent to the monitoring terminal through the server;
and the monitoring terminal is used for displaying the geological hidden trouble grade of the geological monitoring area.
2. The big data based tunnel geology monitoring management system of claim 1, wherein the scale data includes a length, a width, and a height of the tunnel;
the soil quality monitoring data comprise soil shear strength, soil water content and soil porosity of the geological monitoring area;
the rock quality monitoring data includes formation strength, formation density and formation thickness of the geological monitoring region;
the historical geological movement data comprise historical average magnitude, historical earthquake times and historical sedimentation values of a geological monitoring area;
the environmental monitoring data comprise vegetation coverage and average precipitation of the geological monitoring area;
the zone influence data includes soil, rock, geological movement and environmental influence values of the geological monitoring zone.
3. The tunnel geological monitoring management system based on big data according to claim 2, wherein the process of analyzing and calculating by the data processing module is specifically as follows:
reading soil quality monitoring data to obtain soil shear strength, soil water content and soil porosity of a geological monitoring area; calculating a soil property influence value of the geological monitoring area;
reading rock monitoring data to obtain the rock stratum strength, the rock stratum density and the rock stratum thickness of a geological monitoring area;
calculating a rock quality influence value of the geological monitoring area;
reading historical geological movement data to obtain historical average earthquake magnitude, historical earthquake times and historical sedimentation values of a geological monitoring area;
calculating a geological motion influence value of a geological monitoring area;
the environmental monitoring data are read to obtain vegetation coverage and average precipitation of the geological monitoring area;
and calculating the environmental impact value of the geological monitoring area.
4. A tunnel geological monitoring management system based on big data according to claim 3, wherein the module analysis process of the impact analysis is specifically as follows:
reading the regional influence data to obtain a soil property influence value, a rock property influence value, a geological movement influence value and an environment influence value of the geological monitoring region;
and calculating the geological hidden trouble value of the geological monitoring area.
5. The tunnel geological monitoring management system based on big data according to claim 4, wherein the hidden danger grading module is determined by the following steps:
comparing the geological hidden danger value of the geological monitoring area with a geological hidden danger threshold;
and judging the geological hidden danger level of the geological monitoring area as a third geological hidden danger level, a second geological hidden danger level or a first geological hidden danger level.
6. The big data based tunnel geological monitoring management system of claim 5, wherein the third geological hidden trouble level is lower than the second geological hidden trouble level;
the second grade of potential geological hazards is lower than the first grade of potential geological hazards.
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