CN112432665A - Hydraulic engineering dam body safety real-time monitoring and early warning management system based on big data analysis - Google Patents
Hydraulic engineering dam body safety real-time monitoring and early warning management system based on big data analysis Download PDFInfo
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Abstract
The invention discloses a real-time monitoring and early warning management system for the safety of a hydraulic engineering dam body based on big data analysis, which comprises a dam body region division module, a region monitoring point arrangement module, a dam body parameter database, a permeability pressure monitoring module, an environmental parameter acquisition module, a displacement deformation monitoring module, a water level and water flow impact force monitoring module, a parameter processing center, an analysis server, an early warning module and a display terminal, wherein the invention obtains the permeability pressure and the environmental parameters of each monitoring point by carrying out region division and monitoring point arrangement on the dam body, counts the danger coefficients of each sub-region, monitors the water level and water flow impact force of a reservoir and monitors the displacement deformation of a dam crest to obtain monitoring results, and counts the comprehensive danger coefficients of the dam body comprehensively, thereby realizing the safety monitoring of the hydraulic engineering dam, improving the monitoring accuracy and improving the monitoring efficiency, the occurrence of dam dangerous accidents is reduced, and the safety of the dam is further ensured.
Description
Technical Field
The invention belongs to the technical field of dam body safety monitoring, and relates to a real-time monitoring and early warning management system for hydraulic engineering dam body safety based on big data analysis.
Background
The dam is a unique building, the safety property of the dam is completely different from buildings such as houses, when the dam has a safety problem, personnel, property and environment losses in a certain range at the downstream of the dam can be caused, so the safety requirement on the dam is very high, along with the economic development and social progress, the water conservancy projects of China make great progress, the water conservancy project dams of China are gradually increased, the dam safety problem caused by the dam is more and more concerned, and the dam safety monitoring on the water conservancy project dams is particularly important.
Most of the monitoring means of the existing hydraulic engineering dam are still in prototype monitoring, the monitoring means is backward, the monitoring accuracy is low, most of the monitoring means are manual monitoring, the monitoring efficiency is low, meanwhile, the monitoring result only reflects the safety situation of the monitoring position, and the comprehensive safety situation of the dam cannot be obtained, so that the monitoring means of the existing hydraulic engineering dam cannot meet the requirement for accurate comprehensive monitoring of the hydraulic engineering dam.
Disclosure of Invention
In order to overcome the defects in the background art, the invention provides a hydraulic engineering dam body safety real-time monitoring and early warning management system based on big data analysis, and the system can effectively solve the problems related to the background art.
The purpose of the invention can be realized by the following technical scheme:
the hydraulic engineering dam body safety real-time monitoring and early warning management system based on big data analysis comprises a dam body region division module, a region monitoring point arrangement module, a dam body parameter database, a osmotic pressure monitoring module, an environmental parameter acquisition module, a displacement deformation monitoring module, a water level and water flow impact force monitoring module, a parameter processing center, an analysis server, an early warning module and a display terminal;
the dam body area dividing module is used for dividing a dam body to be monitored into sub-areas according to the height of the dam body, the divided sub-areas are numbered according to the sequence from low to high of the height of the divided sub-areas from the top of the dam, and the number of the divided sub-areas is sequentially marked as 1,2.. i.. n;
the area monitoring point arrangement module is used for uniformly arranging monitoring points on each divided sub-area according to the length of the dam body to obtain a plurality of monitoring points arranged in each sub-area, numbering the monitoring points arranged in each sub-area according to a preset sequence, and marking the monitoring points as 1,2.. j.. m respectively;
the osmotic pressure monitoring module comprises a plurality of osmometers which are arranged at the positions of the monitoring points in each sub-area and used for monitoring the osmotic pressure of the monitoring points distributed in each sub-area to obtain the osmotic pressure of each monitoring point in each sub-area, andthe obtained osmotic pressure of each monitoring point forms a monitoring point osmotic pressure set Pi(pi1,pi2,...,pij,...,pim)，pij is the osmotic pressure of the jth monitoring point of the ith sub-area, and the osmotic pressure monitoring module sends the osmotic pressure set of the monitoring points to the parameter processing center;
the environment parameter acquisition module comprises a plurality of environment parameter acquisition units which are arranged at the positions of monitoring points in each subregion and used for acquiring environment parameters of the monitoring points distributed in each subregion, wherein the acquired environment parameters comprise temperature, humidity, wind speed and wind direction angle, and the acquired environment parameters of the monitoring points in each subregion form a monitoring point environment parameter set Rw i(rw i1,rw i2,...,rw ij,...,rw im)，rw ij is a numerical value corresponding to the w-th environmental parameter of the jth monitoring point of the ith sub-area, w is an environmental parameter, w is d1, d2, d3, d4, d1, d2, d3 and d4 are respectively expressed as temperature, humidity, wind speed and wind direction angle, and the environmental parameter collection module sends the monitoring point environmental parameter set to the parameter processing center;
the dam body parameter database is used for storing original horizontal displacement of each deformation monitoring point, storing safe seepage pressure of the dam body, storing safe temperature and safe humidity of the dam body, storing minimum transverse wind power which can be borne by the dam body, storing water level heights corresponding to each water level danger level, storing water level danger coefficients corresponding to each water level danger level E which is 1,2 and 3, and storing seepage pressure, temperature, humidity and borne transverse wind power influence coefficients of the dam body;
the displacement deformation monitoring module comprises a plurality of three-dimensional laser scanners for monitoring horizontal displacement deformation of the dam crest area, and the specific monitoring process comprises the following steps:
s1, distributing deformation monitoring points: acquiring the distance length from the dam top to the dam top and the dam tail, equally dividing the acquired distance length into k sections, using all the equally divided points as deformation monitoring points of the dam top, numbering the distributed dam top monitoring points along the sequence from the dam top to the dam top and the dam tail, and sequentially marking the monitoring points as 1,2.. a.. k;
s2, arranging a laser scanner: respectively arranging each three-dimensional laser scanner at each marked deformation monitoring point, and monitoring the horizontal displacement deformation of each deformation monitoring point in a uniform temperature range at the same time point;
s3, primary horizontal displacement deformation monitoring: the horizontal displacement of each deformation monitoring point is obtained by reading the numerical value detected by the three-dimensional laser scanner of each deformation monitoring point, and is recorded as the primary horizontal displacement of each deformation monitoring point, the primary horizontal displacement of each deformation monitoring point is formed into a primary horizontal displacement set l (l1, l2, a, la, a, lk) of the deformation monitoring point, la represents the primary horizontal displacement of the a-th deformation monitoring point, and at the moment, the primary horizontal displacement set of the deformation monitoring point is compared with the original horizontal displacement of each deformation monitoring point in the dam body parameter database to obtain a primary horizontal displacement deformation set delta l (delta l1, delta l2, a, delta la, a, delta lk) of the deformation monitoring point, delta la represents the difference between the primary horizontal displacement of the a-th deformation monitoring point and the original horizontal displacement of the monitoring point, namely, the primary horizontal displacement deformation:
s4, secondary horizontal displacement deformation monitoring: after a fixed time interval, obtaining the horizontal displacement of each deformation monitoring point again according to the method in the steps S2-S3, and recording the horizontal displacement as the secondary horizontal displacement of each deformation monitoring point, and forming a secondary horizontal displacement set l ' (l ' 1, l ' 2,. fara, l ' a,. fara, l ' k) of the deformation monitoring points, wherein l ' a represents the secondary horizontal displacement of the a-th deformation monitoring point, and at the time, comparing the secondary horizontal displacement set of the deformation monitoring points with the original horizontal displacement of each deformation monitoring point in the dam body parameter database to obtain a secondary horizontal displacement deformation set Δ ' l (Δ l ' 1, Δ l ' 2,. fara,. Δ l ' a,. fara,. Δ l ' k) of the deformation monitoring points;
s5, counting the relative horizontal displacement deformation: comparing the primary horizontal displacement deformation set of the deformation monitoring points with the secondary horizontal displacement deformation set of the deformation monitoring points to obtain a relative horizontal displacement deformation set delta 'l (delta' 1, delta '2,. once, delta' a,. once, delta 'l' k) of the deformation monitoring points, counting the deformation danger coefficients of the dam body by a displacement deformation monitoring module according to the relative horizontal displacement deformation set of the deformation monitoring points, the primary horizontal displacement deformation set of the deformation monitoring points and the secondary horizontal displacement deformation set of the deformation monitoring points, and sending the counted deformation danger coefficients of the dam body to an analysis server;
the parameter processing center receives the monitoring point osmotic pressure set sent by the osmotic pressure monitoring module, extracts the dam body safe osmotic pressure in the dam body parameter database, and compares the monitoring point osmotic pressure set with the dam body safe osmotic pressure to obtain a monitoring point osmotic pressure comparison set delta Pi(Δpi1,Δpi2,...,Δpij,...,Δpim), simultaneously, the parameter processing center receives the monitoring point environment parameter set sent by the environment parameter acquisition module, extracts the temperature and humidity of each monitoring point of each sub-area from the monitoring point environment parameter set, compares the temperature and humidity with the safety temperature and safety humidity of the dam body in the dam body parameter database, and obtains a monitoring point temperature comparison set delta Rd1 i(Δrd1 i1,Δrd1 i2,...,Δrd1 ij,...,Δrd1 im) and comparison set of humidity Δ R of monitoring pointsd2 i(Δrd2 i1,Δrd2 i2,...,Δrd2 ij,...,Δrd2 im), extracting the wind speed and the wind direction of each monitoring point of each sub-area from the monitoring point environment parameter set, acquiring the length and the height of the dam body, calculating the windward area of the side surface of the dam body, recording as s, wherein L is the length of the dam body, and h is the height of the dam body, further counting the transverse wind power borne by each monitoring point of each sub-area of the dam body according to the wind speed and the wind direction of each monitoring point of each sub-area and the windward area of the side surface of the dam body, and forming the counted transverse wind power borne by each monitoring point of each sub-area of the dam body into a monitoring point transverse wind power set Fi(Fi1,Fi2,...,Fij,...,Fim)，Fij is the lateral wind power of the jth monitoring point of the ith sub-area, and at the moment, the lateral wind power set of the monitoring point is compared with the minimum lateral wind power which can be born by the dam body in the dam body parameter database to obtain the lateral wind power of the monitoring pointWind contrast set Δ Fi(ΔFi1,ΔFi2,...,ΔFij,...,ΔFim), counting the risk coefficients of each sub-area according to the obtained monitoring point osmotic pressure comparison set, the monitoring point temperature comparison set and the monitoring point transverse wind force comparison set by the parameter processing center, and sending the risk coefficients to an analysis server;
the water level and water flow impact force monitoring module comprises monitoring equipment, the monitoring equipment is used for monitoring the water level and the water flow speed in the reservoir to obtain the water level height and the water flow speed of the reservoir, acquiring the length of the dam body, counting the water flow impact force according to the length of the dam body, the water flow speed and the water level height, and meanwhile sending the obtained water level height and water flow impact force to the analysis server;
the analysis server receives the water level height and the water flow impact force sent by the water level and water flow impact force monitoring module, receives the dam body deformation risk coefficient sent by the displacement deformation monitoring module, receives the risk coefficient of each sub-region sent by the parameter processing center, compares the received water level height with the water level height corresponding to each water level risk level in the dam body parameter database, screens the water level risk level corresponding to the water level height, sends an early warning instruction of the level to the early warning module, compares the screened water level risk level with the water level risk coefficient corresponding to each water level risk level in the dam body parameter database to obtain the water level risk coefficient corresponding to the water level risk level, and then the analysis server counts the dam body comprehensive risk coefficient according to the water level risk coefficient, the water flow impact force, the dam body deformation risk coefficient and the risk coefficient of each sub-region corresponding to the water level risk level, and sending to a display terminal;
the early warning module receives an early warning instruction of a corresponding grade sent by the analysis server and executes the grade early warning;
and the display terminal receives and displays the dam comprehensive risk coefficient sent by the analysis server.
As a preferred technical solution of the present invention, the specific dividing method for dividing the dam region to be monitored into sub-regions by the dam region dividing module according to the height of the dam includes the following two steps:
step H1: acquiring the height distance of the dam body from the dam bottom to the dam top, and recording the height distance as the height of the dam body;
step H2: and uniformly dividing the obtained dam height into n sections, and recording the area of each section of the dam as a sub-area.
As a preferred technical solution of the present invention, the environmental parameter collecting unit includes a temperature sensor, a humidity sensor and an anemorumbometer, wherein the temperature sensor is used to detect the temperature of each monitoring point of each sub-area, the humidity sensor is used to detect the humidity of each monitoring point of each sub-area, and the anemorumbometer is used to detect the wind speed and wind direction angle of each monitoring point of each sub-area.
As a preferred technical scheme of the invention, the calculation formula of the dam body deformation risk coefficient is
Δ l "a is expressed as the relative horizontal displacement deformation of the a-th deformation monitoring point, Δ la is the primary horizontal displacement deformation of the a-th deformation monitoring point, and Δ l' a is expressed as the secondary horizontal displacement deformation of the a-th deformation monitoring point, la0Expressed as the original horizontal displacement of the a-th deformation monitoring point.
As a preferred technical scheme of the invention, a calculation formula of the transverse wind power borne by each monitoring point of each sub-area of the dam body is shown as
In the formula Fij represents the transverse wind force borne by the jth monitoring point of the ith sub-area, c represents the air resistance coefficient, rhoAir conditionerExpressed as air density, in standard case, 1.293g/l can be taken, s is expressed as the windward area of the side face of the dam body, rd3 ij denotes the wind speed at the jth monitoring point of the ith sub-zone, rd4 ij is expressed as the wind direction angle of the jth monitoring point of the ith sub-area.
As a preferred technical solution of the present invention, the monitoring device includes a water level gauge for detecting a water level height of the reservoir and a water flow rate sensor for detecting a water flow rate.
As a preferable technical scheme of the invention, the calculation formula of the water flow impact force is fWater (W)＝ρWater (W)*(H*L)*v2，ρWater (W)The density of water is expressed, and in a standard case, the density can be 1g/ml, H is expressed as the height of a water level, L is expressed as the length of a dam body, and v is expressed as the water flow speed.
As a preferable technical scheme of the invention, the calculation formula of the risk coefficient of each subregion is
In the formula etaiExpressed as the risk factor, Δ p, of the ith sub-regionij is the difference between the osmotic pressure of the jth monitoring point of the ith sub-area and the safe osmotic pressure of the dam body, and deltard1 ij、Δrd2 ij is respectively expressed as the difference between the temperature and the humidity of the jth monitoring point of the ith sub-area and the corresponding dam body safe temperature and safe humidity, and is delta Fij is expressed as the difference between the transverse wind power borne by the jth monitoring point of the ith sub-area and the minimum transverse wind direction borne by the dam body, p0、rd10、rd20、F0Respectively expressed as the safe osmotic pressure of the dam body, the safe temperature and the safe humidity of the dam body, and the minimum transverse wind direction which can be borne by the dam body, alphaP、αt、αg、αFRespectively expressed as the osmotic pressure, temperature, humidity and the lateral wind influence coefficient of the dam body.
As a preferred technical scheme of the invention, the calculation formula of the comprehensive danger coefficient of the dam body is
In the formula of UEThe danger coefficient of the water level corresponding to the E-th danger level of the water level is expressed, E is 1,2,3, xi is expressed as the danger coefficient of deformation of the dam body, fWater (W)Expressed as the water impact force.
The invention has the following beneficial effects:
1. according to the invention, the dam body is divided into regions and monitoring points are distributed, so that the osmotic pressure and environmental parameters of each monitoring point are obtained, the risk coefficients of each subregion are counted, the reservoir water level and water flow impact force are respectively monitored, and the displacement deformation of the dam top is monitored, so that the reservoir water level height, the water flow impact force and the dam body deformation risk coefficient are obtained, the comprehensive risk coefficients of the dam body are counted comprehensively, the safety monitoring of the hydraulic engineering dam is realized, an automatic monitoring method is adopted, the monitoring accuracy is improved, the monitoring efficiency is improved, the defects of the existing hydraulic engineering dam monitoring means are overcome, the occurrence of dam dangerous accidents is reduced, the personnel and property safety of the dam and a certain range of the downstream of the dam are further ensured, and meanwhile, the comprehensive risk coefficients of the dam body obtained systematically are synthesized, so that the osmotic pressure and the displacement deformation risk coefficients of the dam body are synthesized, Environmental parameter, water level and rivers impact force multiple influence factor have directly perceived the comprehensive dangerous condition of reflecting the dam body, satisfy the accurate comprehensive monitoring demand to hydraulic engineering dam.
2. According to the dam body monitoring method, each sub-area is obtained by carrying out area division on the dam body, and the plurality of monitoring points are distributed in each sub-area to obtain a plurality of data corresponding to each monitoring parameter, so that the problem that the reliability of the data is influenced due to the fact that the monitoring data obtained by a single monitoring point or too few monitoring points is too single is avoided, and reliable reference data are provided for later-stage statistics of the risk coefficients of the sub-areas.
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 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.
Referring to fig. 1, the hydraulic engineering dam safety real-time monitoring and early warning management system based on big data analysis comprises a dam body area division module, an area monitoring point arrangement module, a dam body parameter database, a osmotic pressure monitoring module, an environmental parameter acquisition module, a displacement deformation monitoring module, a water level and water flow impact force monitoring module, a parameter processing center, an analysis server, an early warning module and a display terminal, wherein the dam body area division module is connected with the area monitoring point arrangement module, the osmotic pressure monitoring module and the environmental parameter acquisition module are both connected with the area monitoring point arrangement module and the parameter processing center, and the analysis server is respectively connected with the displacement deformation monitoring module, the water level and water flow impact force monitoring module, the parameter processing center, the early warning module and the display terminal.
The dam body area division module is used for dividing the dam body to be monitored into sub-areas according to the height of the dam body, and the specific division method comprises the following two steps:
step H1: acquiring the height distance of the dam body from the dam bottom to the dam top, and recording the height distance as the height of the dam body;
step H2: and uniformly dividing the obtained dam height into n sections, recording each section of dam body area as a sub-area, numbering the divided sub-areas according to the sequence of the height from the dam crest to the height from the sub-areas from low to high, and sequentially marking the divided sub-areas as 1,2.
The area monitoring point distribution module is used for uniformly distributing monitoring points for each divided sub-area according to the length of the dam body to obtain a plurality of monitoring points distributed in each sub-area, numbering the monitoring points distributed in each sub-area according to a preset sequence, and marking the monitoring points as 1,2.
In the preferred embodiment, each sub-area is obtained by carrying out area division on the dam body, and a plurality of monitoring points are distributed in each sub-area to obtain a plurality of data corresponding to each monitoring parameter, so that the problem that the reliability of the data is influenced because the monitoring data obtained by a single monitoring point or too few monitoring points is too single is avoided, and reliable reference data is provided for later-stage statistics of the risk coefficients of the sub-areas.
The osmotic pressure monitoring module comprises a plurality of osmometers which are arranged at the positions of the monitoring points in each sub-area and used for monitoring the osmotic pressure of the monitoring points distributed in each sub-area to obtain the osmotic pressure of each monitoring point in each sub-area and form an osmotic pressure set P of the monitoring points by the obtained osmotic pressure of each monitoring pointi(pi1,pi2,...,pij,...,pim)，pij is the osmotic pressure of the jth monitoring point of the ith sub-area, and the osmotic pressure monitoring module sends the osmotic pressure set of the monitoring points to the parameter processing center.
The environment parameter acquisition module comprises a plurality of environment parameter acquisition units, the environment parameter acquisition units are arranged at the positions of monitoring points in each subregion and used for acquiring environment parameters of the monitoring points distributed in each subregion, the acquired environment parameters comprise temperature, humidity, wind speed and wind direction angles, the environment parameter acquisition units comprise temperature sensors, humidity sensors and anemorumbometers, the temperature sensors are used for detecting the temperature of the monitoring points in each subregion, the humidity sensors are used for detecting the humidity of the monitoring points in each subregion, the anemorumeters are used for detecting the wind speed and the wind direction angle of the monitoring points in each subregion, the wind direction angle is an included angle between the wind direction and the horizontal plane, and the acquired environment parameters of the monitoring points in each subregion form a monitoring point environment parameter set Rw i(rw i1,rw i2,...,rw ij,...,rw im)，rw ij is a numerical value corresponding to the w-th environmental parameter of the j-th monitoring point of the ith sub-area, w is an environmental parameter, w is d1, d2, d3, d4, d1, d2, d3 and d4 are respectively expressed as temperature, humidity, wind speed and wind direction angle, and the environmental parameter collection module sends the monitoring point environmental parameter set to the parameter processing center.
The dam body parameter database is used for storing original horizontal displacement of each deformation monitoring point, storing the safe osmotic pressure of the dam body, storing the safe temperature and the safe humidity of the dam body, storing the minimum transverse wind power which can be born by the dam body, storing the water level height corresponding to each water level danger level, storing the water level danger coefficient corresponding to each water level danger level E which is 1,2 and 3, and storing the osmotic pressure, the temperature, the humidity and the born transverse wind power influence coefficient of the dam body.
The displacement deformation monitoring module comprises a plurality of three-dimensional laser scanners for monitoring horizontal displacement deformation of the dam crest area, and the specific monitoring process comprises the following steps:
s1, distributing deformation monitoring points: acquiring the distance length from the dam top to the dam top and the dam tail, equally dividing the acquired distance length into k sections, using all the equally divided points as deformation monitoring points of the dam top, numbering the distributed dam top monitoring points along the sequence from the dam top to the dam top and the dam tail, and sequentially marking the monitoring points as 1,2.. a.. k;
s2, arranging a laser scanner: respectively arranging each three-dimensional laser scanner at each marked deformation monitoring point, and monitoring the horizontal displacement deformation of each deformation monitoring point in a uniform temperature range at the same time point;
s3, primary horizontal displacement deformation monitoring: the horizontal displacement of each deformation monitoring point is obtained by reading the numerical value detected by the three-dimensional laser scanner of each deformation monitoring point, and is recorded as the primary horizontal displacement of each deformation monitoring point, the primary horizontal displacement of each deformation monitoring point is formed into a primary horizontal displacement set l (l1, l2, a, la, a, lk) of the deformation monitoring point, la represents the primary horizontal displacement of the a-th deformation monitoring point, and at the moment, the primary horizontal displacement set of the deformation monitoring point is compared with the original horizontal displacement of each deformation monitoring point in the dam body parameter database to obtain a primary horizontal displacement deformation set delta l (delta l1, delta l2, a, delta la, a, delta lk) of the deformation monitoring point, delta la represents the difference between the primary horizontal displacement of the a-th deformation monitoring point and the original horizontal displacement of the monitoring point, namely, the primary horizontal displacement deformation:
s4, secondary horizontal displacement deformation monitoring: after a fixed time interval, obtaining the horizontal displacement of each deformation monitoring point again according to the method in the steps S2-S3, and recording the horizontal displacement as the secondary horizontal displacement of each deformation monitoring point, and forming a secondary horizontal displacement set l ' (l ' 1, l ' 2,. fara, l ' a,. fara, l ' k) of the deformation monitoring points, wherein l ' a represents the secondary horizontal displacement of the a-th deformation monitoring point, and at the time, comparing the secondary horizontal displacement set of the deformation monitoring points with the original horizontal displacement of each deformation monitoring point in the dam body parameter database to obtain a secondary horizontal displacement deformation set Δ ' l (Δ l ' 1, Δ l ' 2,. fara,. Δ l ' a,. fara,. Δ l ' k) of the deformation monitoring points;
s5, counting the relative horizontal displacement deformation: comparing the primary horizontal displacement deformation set of the deformation monitoring points with the secondary horizontal displacement deformation set of the deformation monitoring points to obtain a relative horizontal displacement deformation set delta 'l (delta' 1, delta 'l' 2,. once, delta 'l' a,. once, delta 'l' k) of the deformation monitoring points, and then counting the deformation danger coefficient of the dam body by the displacement deformation monitoring module according to the relative horizontal displacement deformation set of the deformation monitoring points, the primary horizontal displacement deformation set of the deformation monitoring points and the secondary horizontal displacement deformation set of the deformation monitoring points
Δ l "a is expressed as the relative horizontal displacement deformation of the a-th deformation monitoring point, Δ la is the primary horizontal displacement deformation of the a-th deformation monitoring point, and Δ l' a is expressed as the secondary horizontal displacement deformation of the a-th deformation monitoring point, la0And the initial horizontal displacement is expressed as the original horizontal displacement of the a-th deformation monitoring point, and meanwhile, the statistical dam deformation risk coefficient is sent to an analysis server.
In the preferred embodiment, deformation monitoring points are distributed in the dam crest area to obtain the primary horizontal displacement deformation, the secondary horizontal displacement deformation and the relative horizontal displacement deformation of each deformation monitoring point, so that the deformation risk coefficient of the dam body is counted, and the larger the deformation risk coefficient is, the more serious the deformation degree of the dam body is, and the deformation correlation coefficient is provided for later-stage counting of the comprehensive risk coefficient of the dam body.
The parameter processing center receives the monitoring point osmotic pressure set sent by the osmotic pressure monitoring module, extracts the dam body safe osmotic pressure in the dam body parameter database, and compares the monitoring point osmotic pressure set with the dam body safe osmotic pressure to obtain a monitoring point osmotic pressure comparison set delta Pi(Δpi1,Δpi2,...,Δpij,...,Δpim), simultaneously, the parameter processing center receives the monitoring point environment parameter set sent by the environment parameter acquisition module, extracts the temperature and humidity of each monitoring point of each sub-area from the monitoring point environment parameter set, compares the temperature and humidity with the safety temperature and safety humidity of the dam body in the dam body parameter database, and obtains a monitoring point temperature comparison set delta Rd1 i(Δrd1 i1,Δrd1 i2,...,Δrd1 ij,...,Δrd1 im) and comparison set of humidity Δ R of monitoring pointsd2 i(Δrd2 i1,Δrd2 i2,...,Δrd2 ij,...,Δrd2 im), extracting the wind speed and the wind direction of each monitoring point of each sub-area from the monitoring point environment parameter set, acquiring the length and the height of the dam body, calculating the windward area of the side surface of the dam body, recording as s, wherein s is L x h, L represents the length of the dam body, h represents the height of the dam body, and further counting the transverse wind power received by each monitoring point of each sub-area of the dam body according to the wind speed and the wind direction of each monitoring point of each sub-area and the windward area of the side surface of the dam body
In the formula Fij represents the transverse wind force borne by the jth monitoring point of the ith sub-area, c represents the air resistance coefficient, rhoAir conditionerExpressed as air density, in standard case, 1.293g/l can be taken, s is expressed as the windward area of the side face of the dam body, rd3 ij denotes the wind speed at the jth monitoring point of the ith sub-zone, rd4 ij is expressed as the wind direction angle of the jth monitoring point of the ith sub-area, and meanwhile, the statistical transverse wind power borne by each monitoring point of each sub-area of the dam body forms a monitoring point transverse wind power set Fi(Fi1,Fi2,...,Fij,...,Fim)，Fij is the lateral wind power of the jth monitoring point of the ith sub-area, and at the moment, the lateral wind power set of the monitoring point is compared with the minimum lateral wind power which can be born by the dam body in the dam body parameter database to obtain a lateral wind power comparison set delta F of the monitoring pointi(ΔFi1,ΔFi2,...,ΔFij,...,ΔFim), calculating the risk coefficient of each sub-area according to the obtained monitoring point osmotic pressure comparison set, the monitoring point temperature comparison set and the monitoring point transverse wind power comparison set by the parameter processing center
In the formula etaiExpressed as the risk factor, Δ p, of the ith sub-regionij is the difference between the osmotic pressure of the jth monitoring point of the ith sub-area and the safe osmotic pressure of the dam body, and deltard1 ij、Δrd2 ij is respectively expressed as the difference between the temperature and the humidity of the jth monitoring point of the ith sub-area and the corresponding dam body safe temperature and safe humidity, and is delta Fij is expressed as the difference between the transverse wind power borne by the jth monitoring point of the ith sub-area and the minimum transverse wind direction borne by the dam body, p0、rd10、rd20、F0Respectively expressed as the safe osmotic pressure of the dam body, the safe temperature and the safe humidity of the dam body, and the minimum transverse wind direction which can be borne by the dam body, alphaP、αt、αg、αFAnd respectively expressing the seepage pressure, the temperature, the humidity and the borne transverse wind influence coefficient of the dam body, and sending the counted risk coefficient of each subregion to an analysis server.
According to the optimal embodiment, the risk coefficients of the sub-areas are counted by combining the permeation pressure and the environmental parameters of each monitoring point of each divided sub-area, and the correlation coefficient of the risk of the sub-areas is provided for later-stage counting of the comprehensive risk coefficient of the dam body.
The water level and water flow impact force monitoring module comprises monitoring equipment, the monitoring equipment is used for monitoring the water level and the water flow speed in the reservoir to obtain the water level height and the water flow speed of the reservoir, the monitoring equipment comprises a water level meter and a water flow speed sensor, the water level meter is used for detecting the water level height of the reservoir, the water flow speed sensor is used for detecting the water flow speed, the length of a dam body is obtained, and the water flow impact force f is counted according to the length of the dam body, the water flow speed and the water level heightWater (W)＝ρWater (W)*(H*L)*v2，ρWater (W)Expressed as the density of water, 1g/ml, H, in the standard case, is takenAnd the calculated water flow impact force is larger, the danger degree of the dam is larger, and the obtained water level height and the obtained water flow impact force are sent to an analysis server.
The analysis server receives the water level height and the water flow impact force sent by the water level and water flow impact force monitoring module, receives the dam body deformation risk coefficient sent by the displacement deformation monitoring module, receives the risk coefficient of each subregion sent by the parameter processing center, comparing the received water level height with the water level height corresponding to each water level danger level in the dam body parameter database, screening the water level danger level corresponding to the water level height, and sending an early warning instruction of the level to an early warning module, meanwhile, comparing the screened water level danger levels with the water level danger coefficients corresponding to the water level danger levels in the dam body parameter database to obtain the water level danger coefficients corresponding to the water level danger levels, and then the analysis server counts the comprehensive risk coefficient of the dam body according to the water level risk coefficient, the water flow impact force, the dam body deformation risk coefficient and the risk coefficient of each sub-area corresponding to the water level risk level.
In the formula of UEThe danger coefficient of the water level corresponding to the E-th danger level of the water level is expressed, E is 1,2,3, xi is expressed as the danger coefficient of deformation of the dam body, fWater (W)And expressing the water flow impact force, and sending the comprehensive danger coefficient of the dam body to a display terminal.
According to the optimal embodiment, the comprehensive danger coefficient of the dam body is counted through the comprehensive deformation danger coefficient, the sub-area danger coefficient, the water level danger coefficient and the water flow impact force of the dam body, the comprehensive danger coefficient achieves quantitative display of the comprehensive danger condition of the dam body, the defect that the comprehensive safety condition of the dam cannot be obtained through the existing hydraulic engineering dam monitoring means is overcome, and the comprehensive monitoring requirement on the hydraulic engineering dam is met.
And the early warning module receives the early warning instruction of the corresponding grade sent by the analysis server and executes the grade early warning.
The display terminal receives and displays the comprehensive dam danger coefficient sent by the analysis server, so that relevant hydraulic engineering dam managers can visually know the danger condition of the dam conveniently, and further take corresponding protective measures according to the comprehensive dam danger coefficient to reduce the occurrence of dam dangerous accidents and further ensure the safety of personnel and property in a certain range of the dam and the downstream of the dam.
The invention adopts an automatic monitoring mode in the overall implementation process, improves the monitoring accuracy, further improves the monitoring efficiency, reduces the workload of monitoring personnel and meets the requirement of the accuracy monitoring of the hydraulic engineering dam.
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 (9)
1. Hydraulic engineering dam body safety real-time supervision early warning management system based on big data analysis, its characterized in that: the dam body monitoring system comprises a dam body region dividing module, a region monitoring point distribution module, a dam body parameter database, a permeation pressure monitoring module, an environment parameter acquisition module, a displacement deformation monitoring module, a water level and water flow impact force monitoring module, a parameter processing center, an analysis server, an early warning module and a display terminal;
the dam body area dividing module is used for dividing a dam body to be monitored into sub-areas according to the height of the dam body, the divided sub-areas are numbered according to the sequence from low to high of the height of the divided sub-areas from the top of the dam, and the number of the divided sub-areas is sequentially marked as 1,2.. i.. n;
the area monitoring point arrangement module is used for uniformly arranging monitoring points on each divided sub-area according to the length of the dam body to obtain a plurality of monitoring points arranged in each sub-area, numbering the monitoring points arranged in each sub-area according to a preset sequence, and marking the monitoring points as 1,2.. j.. m respectively;
the osmotic pressure monitoring module comprises a plurality of osmometers which are arranged in each subareaThe positions of the monitoring points are used for monitoring the osmotic pressure of a plurality of monitoring points distributed in each sub-area to obtain the osmotic pressure of each monitoring point in each sub-area, and the obtained osmotic pressure of each monitoring point forms a monitoring point osmotic pressure set Pi(pi1,pi2,...,pij,...,pim)，pij is the osmotic pressure of the jth monitoring point of the ith sub-area, and the osmotic pressure monitoring module sends the osmotic pressure set of the monitoring points to the parameter processing center;
the environment parameter acquisition module comprises a plurality of environment parameter acquisition units which are arranged at the positions of monitoring points in each subregion and used for acquiring environment parameters of the monitoring points distributed in each subregion, wherein the acquired environment parameters comprise temperature, humidity, wind speed and wind direction angle, and the acquired environment parameters of the monitoring points in each subregion form a monitoring point environment parameter set Rw i(rw i1,rw i2,...,rw ij,...,rw im)，rw ij is a numerical value corresponding to the w-th environmental parameter of the jth monitoring point of the ith sub-area, w is an environmental parameter, w is d1, d2, d3, d4, d1, d2, d3 and d4 are respectively expressed as temperature, humidity, wind speed and wind direction angle, and the environmental parameter collection module sends the monitoring point environmental parameter set to the parameter processing center;
the dam body parameter database is used for storing original horizontal displacement of each deformation monitoring point, storing safe seepage pressure of the dam body, storing safe temperature and safe humidity of the dam body, storing minimum transverse wind power which can be borne by the dam body, storing water level heights corresponding to each water level danger level, storing water level danger coefficients corresponding to each water level danger level E which is 1,2 and 3, and storing seepage pressure, temperature, humidity and borne transverse wind power influence coefficients of the dam body;
the displacement deformation monitoring module comprises a plurality of three-dimensional laser scanners for monitoring horizontal displacement deformation of the dam crest area, and the specific monitoring process comprises the following steps:
s1, distributing deformation monitoring points: acquiring the distance length from the dam top to the dam top and the dam tail, equally dividing the acquired distance length into k sections, using all the equally divided points as deformation monitoring points of the dam top, numbering the distributed dam top monitoring points along the sequence from the dam top to the dam top and the dam tail, and sequentially marking the monitoring points as 1,2.. a.. k;
s2, arranging a laser scanner: respectively arranging each three-dimensional laser scanner at each marked deformation monitoring point, and monitoring the horizontal displacement deformation of each deformation monitoring point in a uniform temperature range at the same time point;
s3, primary horizontal displacement deformation monitoring: the horizontal displacement of each deformation monitoring point is obtained by reading the numerical value detected by the three-dimensional laser scanner of each deformation monitoring point, and is recorded as the primary horizontal displacement of each deformation monitoring point, the primary horizontal displacement of each deformation monitoring point is formed into a primary horizontal displacement set l (l1, l2, a, la, a, lk) of the deformation monitoring point, la represents the primary horizontal displacement of the a-th deformation monitoring point, and at the moment, the primary horizontal displacement set of the deformation monitoring point is compared with the original horizontal displacement of each deformation monitoring point in the dam body parameter database to obtain a primary horizontal displacement deformation set delta l (delta l1, delta l2, a, delta la, a, delta lk) of the deformation monitoring point, delta la represents the difference between the primary horizontal displacement of the a-th deformation monitoring point and the original horizontal displacement of the monitoring point, namely, the primary horizontal displacement deformation:
s4, secondary horizontal displacement deformation monitoring: after a fixed time interval, obtaining the horizontal displacement of each deformation monitoring point again according to the method in the steps S2-S3, and recording the horizontal displacement as the secondary horizontal displacement of each deformation monitoring point, and forming a secondary horizontal displacement set l ' (l ' 1, l ' 2,. fara, l ' a,. fara, l ' k) of the deformation monitoring points, wherein l ' a represents the secondary horizontal displacement of the a-th deformation monitoring point, and at the time, comparing the secondary horizontal displacement set of the deformation monitoring points with the original horizontal displacement of each deformation monitoring point in the dam body parameter database to obtain a secondary horizontal displacement deformation set Δ ' l (Δ l ' 1, Δ l ' 2,. fara,. Δ l ' a,. fara,. Δ l ' k) of the deformation monitoring points;
s5, counting the relative horizontal displacement deformation: comparing the primary horizontal displacement deformation set of the deformation monitoring points with the secondary horizontal displacement deformation set of the deformation monitoring points to obtain a relative horizontal displacement deformation set delta 'l (delta' 1, delta '2,. once, delta' a,. once, delta 'l' k) of the deformation monitoring points, counting the deformation danger coefficients of the dam body by a displacement deformation monitoring module according to the relative horizontal displacement deformation set of the deformation monitoring points, the primary horizontal displacement deformation set of the deformation monitoring points and the secondary horizontal displacement deformation set of the deformation monitoring points, and sending the counted deformation danger coefficients of the dam body to an analysis server;
the parameter processing center receives the monitoring point osmotic pressure set sent by the osmotic pressure monitoring module, extracts the dam body safe osmotic pressure in the dam body parameter database, and compares the monitoring point osmotic pressure set with the dam body safe osmotic pressure to obtain a monitoring point osmotic pressure comparison set delta Pi(Δpi1,Δpi2,...,Δpij,...,Δpim), simultaneously, the parameter processing center receives the monitoring point environment parameter set sent by the environment parameter acquisition module, extracts the temperature and humidity of each monitoring point of each sub-area from the monitoring point environment parameter set, compares the temperature and humidity with the safety temperature and safety humidity of the dam body in the dam body parameter database, and obtains a monitoring point temperature comparison set delta Rd1 i(Δrd1 i1,Δrd1 i2,...,Δrd1 ij,...,Δrd1 im) and comparison set of humidity Δ R of monitoring pointsd2 i(Δrd2 i1,Δrd2 i2,...,Δrd2 ij,...,Δrd2 im), extracting the wind speed and the wind direction of each monitoring point of each sub-area from the monitoring point environment parameter set, acquiring the length and the height of the dam body, calculating the windward area of the side surface of the dam body, recording as s, wherein L is the length of the dam body, and h is the height of the dam body, further counting the transverse wind power borne by each monitoring point of each sub-area of the dam body according to the wind speed and the wind direction of each monitoring point of each sub-area and the windward area of the side surface of the dam body, and forming the counted transverse wind power borne by each monitoring point of each sub-area of the dam body into a monitoring point transverse wind power set Fi(Fi1,Fi2,...,Fij,...,Fim)，Fij represents the lateral wind force of the jth monitoring point of the ith sub-zone, at the momentComparing the transverse wind power set of the monitoring point with the minimum transverse wind power which can be borne by the dam body in the dam body parameter database to obtain a transverse wind power comparison set delta F of the monitoring pointi(ΔFi1,ΔFi2,...,ΔFij,...,ΔFim), counting the risk coefficients of each sub-area according to the obtained monitoring point osmotic pressure comparison set, the monitoring point temperature comparison set and the monitoring point transverse wind force comparison set by the parameter processing center, and sending the risk coefficients to an analysis server;
the water level and water flow impact force monitoring module comprises monitoring equipment, the monitoring equipment is used for monitoring the water level and the water flow speed in the reservoir to obtain the water level height and the water flow speed of the reservoir, acquiring the length of the dam body, counting the water flow impact force according to the length of the dam body, the water flow speed and the water level height, and meanwhile sending the obtained water level height and water flow impact force to the analysis server;
the analysis server receives the water level height and the water flow impact force sent by the water level and water flow impact force monitoring module, receives the dam body deformation risk coefficient sent by the displacement deformation monitoring module, receives the risk coefficient of each sub-region sent by the parameter processing center, compares the received water level height with the water level height corresponding to each water level risk level in the dam body parameter database, screens the water level risk level corresponding to the water level height, sends an early warning instruction of the level to the early warning module, compares the screened water level risk level with the water level risk coefficient corresponding to each water level risk level in the dam body parameter database to obtain the water level risk coefficient corresponding to the water level risk level, and then the analysis server counts the dam body comprehensive risk coefficient according to the water level risk coefficient, the water flow impact force, the dam body deformation risk coefficient and the risk coefficient of each sub-region corresponding to the water level risk level, and sending to a display terminal;
the early warning module receives an early warning instruction of a corresponding grade sent by the analysis server and executes the grade early warning;
and the display terminal receives and displays the dam comprehensive risk coefficient sent by the analysis server.
2. The hydraulic engineering dam body safety real-time monitoring and early warning management system based on big data analysis as claimed in claim 1, wherein: the specific dividing method for dividing the dam body area to be monitored into the sub-areas according to the height of the dam body by the dam body area dividing module comprises the following two steps:
step H1: acquiring the height distance of the dam body from the dam bottom to the dam top, and recording the height distance as the height of the dam body;
step H2: and uniformly dividing the obtained dam height into n sections, and recording the area of each section of the dam as a sub-area.
3. The hydraulic engineering dam body safety real-time monitoring and early warning management system based on big data analysis as claimed in claim 1, wherein: the environment parameter acquisition unit comprises a temperature sensor, a humidity sensor and an anemorumbometer, wherein the temperature sensor is used for detecting the temperature of each monitoring point of each subarea, the humidity sensor is used for detecting the humidity of each monitoring point of each subarea, and the anemorumbometer is used for detecting the wind speed and the wind direction angle of each monitoring point of each subarea.
4. The hydraulic engineering dam body safety real-time monitoring and early warning management system based on big data analysis as claimed in claim 1, wherein: the calculation formula of the dam body deformation risk coefficient is
Δ l "a is expressed as the relative horizontal displacement deformation of the a-th deformation monitoring point, Δ la is the primary horizontal displacement deformation of the a-th deformation monitoring point, and Δ l' a is expressed as the secondary horizontal displacement deformation of the a-th deformation monitoring point, la0Expressed as the original horizontal displacement of the a-th deformation monitoring point.
5. The hydraulic engineering dam body safety real-time monitoring and early warning management system based on big data analysis as claimed in claim 1, wherein: the calculation formula of the transverse wind power borne by each monitoring point of each subregion of the dam body is as follows
In the formula Fij represents the transverse wind force borne by the jth monitoring point of the ith sub-area, c represents the air resistance coefficient, rhoAir conditionerExpressed as air density, in standard case, 1.293g/l can be taken, s is expressed as the windward area of the side face of the dam body, rd3 ij denotes the wind speed at the jth monitoring point of the ith sub-zone, rd4 ij is expressed as the wind direction angle of the jth monitoring point of the ith sub-area.
6. The hydraulic engineering dam body safety real-time monitoring and early warning management system based on big data analysis as claimed in claim 1, wherein: the monitoring device comprises a water level meter and a water flow rate sensor, wherein the water level meter is used for detecting the water level height of the reservoir, and the water flow rate sensor is used for detecting the water flow rate.
7. The hydraulic engineering dam body safety real-time monitoring and early warning management system based on big data analysis as claimed in claim 1, wherein: the calculation formula of the water flow impact force is fWater (W)＝ρWater (W)*(H*L)*v2，ρWater (W)The density of water is expressed, and in a standard case, the density can be 1g/ml, H is expressed as the height of a water level, L is expressed as the length of a dam body, and v is expressed as the water flow speed.
8. The hydraulic engineering dam body safety real-time monitoring and early warning management system based on big data analysis as claimed in claim 1, wherein: the risk coefficient of each subregion is calculated by the formula
In the formula etaiExpressed as the risk factor, Δ p, of the ith sub-regionij is the difference between the osmotic pressure of the jth monitoring point of the ith sub-area and the safe osmotic pressure of the dam body, and deltard1 ij、Δrd2 ij is respectively expressed as the temperature and the humidity of the jth monitoring point of the ith sub-area and the temperature and the humidity of the jth monitoring point of the ith sub-areaDifference value between corresponding dam body safe temperature and safe humidity, delta Fij is expressed as the difference between the transverse wind power borne by the jth monitoring point of the ith sub-area and the minimum transverse wind direction borne by the dam body, p0、rd10、rd20、F0Respectively expressed as the safe osmotic pressure of the dam body, the safe temperature and the safe humidity of the dam body, and the minimum transverse wind direction which can be borne by the dam body, alphaP、αt、αg、αFRespectively expressed as the osmotic pressure, temperature, humidity and the lateral wind influence coefficient of the dam body.
9. The hydraulic engineering dam body safety real-time monitoring and early warning management system based on big data analysis as claimed in claim 1, wherein: the calculation formula of the comprehensive danger coefficient of the dam body is
In the formula of UEThe danger coefficient of the water level corresponding to the E-th danger level of the water level is expressed, E is 1,2,3, xi is expressed as the danger coefficient of deformation of the dam body, fWater (W)Expressed as the water impact force.
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