CN114495430A - Earth and rockfill dam safety state early warning method and system - Google Patents

Earth and rockfill dam safety state early warning method and system Download PDF

Info

Publication number
CN114495430A
CN114495430A CN202111590730.8A CN202111590730A CN114495430A CN 114495430 A CN114495430 A CN 114495430A CN 202111590730 A CN202111590730 A CN 202111590730A CN 114495430 A CN114495430 A CN 114495430A
Authority
CN
China
Prior art keywords
early warning
earth
monitoring
dam
rockfill dam
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202111590730.8A
Other languages
Chinese (zh)
Other versions
CN114495430B (en
Inventor
罗晓琴
史雪静
吴志祥
李文娟
孙宝强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Zhongguancun Zhilian Safety Science Research Institute Co ltd
Original Assignee
Beijing Zhongguancun Zhilian Safety Science Research Institute Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Zhongguancun Zhilian Safety Science Research Institute Co ltd filed Critical Beijing Zhongguancun Zhilian Safety Science Research Institute Co ltd
Priority to CN202111590730.8A priority Critical patent/CN114495430B/en
Publication of CN114495430A publication Critical patent/CN114495430A/en
Application granted granted Critical
Publication of CN114495430B publication Critical patent/CN114495430B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/10Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/08Construction
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/182Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather

Landscapes

  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Emergency Management (AREA)
  • Theoretical Computer Science (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geology (AREA)
  • Alarm Systems (AREA)

Abstract

The invention relates to an earth and rockfill dam safety state early warning method and system, wherein the method comprises the following steps: determining parameters to be monitored by an early warning monitoring module according to the occurrence principle and the occurrence process of the disaster of the earth and rockfill dam and the self characteristics of the earth and rockfill dam, wherein the early warning monitoring module can obtain the self characteristics, the environmental quantity index, the dynamic characteristic and the kinematic index of the dam body of the earth and rockfill dam; determining the weighted value of each monitoring index of each monitoring point, determining the early warning level quantity of each monitoring index according to the monitoring numerical value and the weighted value of each monitoring index, and calculating the comprehensive early warning level quantity according to the early warning level quantity of each monitoring index; determining an early warning grade according to the comprehensive early warning grade quantity, and generating, outputting and displaying early warning information; and corresponding countermeasures are taken according to different early warning grades.

Description

Earth and rockfill dam safety state early warning method and system
Technical Field
The invention relates to the technical field of early warning of the safety state of a building structure, in particular to an earth and rockfill dam safety state early warning method and system.
Background
Earth and rockfill dams are widely used due to the advantages of wide application range, local materials, strong adaptability to natural environment and the like. By 2011, reservoir engineering built in China has 98002 seats, wherein earth and rockfill dams account for 93 percent of the total number of the dams. These reservoir dams were built in the 50 s to 70 s of the 20 th century, were limited by technological and economic conditions at that time, and after long-term operation, many reservoirs had safety problems or potential safety hazards, which caused damage to national economy and property and may threaten life safety of nearby residents. Therefore, how to quickly evaluate the safety state of the earth-rock dam is a considerable problem.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide an earth and rockfill dam safety state early warning method, which is used for comprehensively analyzing and judging various monitoring indexes by combining the self characteristics of a dam body of an earth and rockfill dam, establishing a reasonable early warning process, improving the monitoring accuracy, reducing the workload of manual analysis data and improving the timeliness of disaster early warning.
The technical scheme of the invention is as follows: an earth and rockfill dam safety state early warning method comprises the following steps:
s1, determining parameters to be monitored by the early warning monitoring module according to the occurrence principle and the occurrence process of the disaster of the earth and rockfill dam and the self characteristics of the dam body of the earth and rockfill dam, wherein the early warning monitoring module can obtain the self characteristics, the environmental quantity index, the dynamic characteristic and the kinematic index of the earth and rockfill dam;
s2, determining the weighted value of each monitoring index of each monitoring point, determining the early warning level quantity of each monitoring index according to the monitoring value and the weighted value of each monitoring index, and calculating the comprehensive early warning level quantity according to the early warning level quantity of each monitoring index;
s3, determining an early warning grade according to the comprehensive early warning grade quantity, generating output and displaying early warning information;
and S4, taking corresponding countermeasures according to different early warning levels.
Further, the characteristics of the dam body comprise a dam building material and a dam height; the environmental quantity indexes comprise 24-hour rainfall, reservoir water level and osmotic pressure; the dynamic characteristics comprise amplitude, normal vibration frequency, abnormal vibration frequency and vibration impact acceleration; the kinematic index includes an inclination angle amount, an inclination angle change rate, a displacement amount and a displacement change rate.
Further, the comprehensive early warning level quantity FCThe early warning level quantity F of each monitoring index N equal to each monitoring pointiAnd (3) the sum:
Figure BDA0003429776720000011
m is the number of monitoring points, n is the number of monitoring indexes, fmThe sum of the early warning grade quantities of the n monitoring indexes of the m-th monitoring point.
Further, the early warning level F of 24-hour rainfall1The calculation formula of (a) is as follows:
Figure BDA0003429776720000021
in the formula: f1-24 hours rainfall early warning level amount; w is a1-24 hours rainfall weight; r is the maximum rainfall in 24 hours, and when R is more than 6.7, R is 6.7; t is1-the moment of occurrence of maximum rainfall; t, calculating triggering time by an early warning system of the earth and rockfill dam disaster;
early warning level quantity F of reservoir water level W2The calculation formula of (a) is as follows:
F2=w2×W,w2the weight value of the reservoir water level W;
the early warning grade quantity F of the osmotic pressure P3The calculation formula of (a) is as follows:
F3=w3×P,w3the weight value of osmotic pressure P;
the early warning level quantity F of the inclination angle quantity theta4The calculation formula of (a) is as follows:
F4=w4×θ,when theta is greater than 2, theta is 2, w4A weighted value of the inclination angle theta;
the rate of change of inclination vθEarly warning level quantity F5The calculation formula of (a) is as follows:
F5=w5×vθwhen v isθWhen > 1.5, vθ=1.5,w5Is the rate of change v of the inclination angleθThe weight value of (2);
the early warning grade quantity F of the displacement d6The calculation formula of (a) is as follows:
F6=w6x d, when d > 30, d is 30, w6A weight value of the displacement d;
the rate of change of displacement vdEarly warning level quantity F7The calculation formula of (a) is as follows:
F7=w7×vdwhen v isdAt > 2.3, vd=2.3,w7Is the rate of change v of displacementdThe weight value of (1);
the early warning level F of the normal vibration frequency8The calculation formula of (a) is as follows:
F8=w8×v.
Figure BDA0003429776720000022
f0at an initial constant vibration frequency, fnFor the constant vibration frequency of real-time measurement, v is the rate of change of safety, w8The weight value is the constant vibration frequency;
the early warning level quantity F of the abnormal vibration frequency9The calculation formula of (a) is as follows:
F9=w9x V × N, when V × N > 2.5, V × N is 2.5;
v is the vibration magnitude, N is the vibration frequency, w9A weight value of an abnormal vibration frequency;
the early warning level quantity F of the amplitude A10The calculation formula of (a) is as follows:
F10=w10x A, when A > 0.5, A ═ 0.5, w10To vibrateA weight value of the web A;
the vibration impact acceleration VaccEarly warning level quantity F11The calculation formula of (a) is as follows:
F11=w11×Vacc,w11is the weighted value of the vibration impact acceleration.
Further, the weight value of each monitoring index is adjusted according to the self characteristics of the dam body of the earth-rock dam.
Further, the worse the dam material, the weighted value w1、w2、w3The larger.
Further, the poorer the dam body material, the higher the dam height, and the weight value w4、w5、w6、w7The larger.
Further, the higher the dam height, the weight value w8、w9、w10、w11The larger.
Further, the early warning grades are divided into five grades of 0, I, II, III and IV, which respectively correspond to green, blue, yellow, orange and red early warnings.
On the other hand, the invention also provides an earth and rockfill dam safety state early warning system, which comprises:
the earth and rockfill dam monitoring data module is used for acquiring and storing data of self structural characteristics, environmental quantity indexes, dynamic characteristics and kinematic indexes of the earth and rockfill dam;
the comprehensive early warning level quantity calculation module calculates the comprehensive early warning level quantity through the monitoring numerical values and weighted values of all monitoring indexes in the earth and rockfill dam monitoring data module;
the early warning information output module is used for generating, outputting and displaying early warning information;
and the operation and maintenance control module is used for monitoring and controlling the operation condition of each module of the earth and rockfill dam safety state early warning system.
The invention has the following beneficial effects: the invention comprehensively considers the self structural characteristics, environmental quantity indexes, dynamic characteristics, kinematic indexes and other indexes of the earth and rockfill dam, determines whether a monitoring area is in a dangerous state and dangerous degree by comprehensive early warning grade quantity, the importance degree of each monitoring index is different, the contribution degree of the numerical value to the final early warning grade quantity is different, different weight values are respectively given to each monitoring index of each monitoring point according to the risk of each monitoring point position and the importance of the monitoring index, the weight values of each monitoring index are required to be determined before early warning of the earth and rockfill dam disaster, the various monitoring indexes are comprehensively analyzed and judged, a reasonable early warning process is established, the monitoring accuracy is improved, the workload of manual analysis data is reduced, and the timeliness of disaster early warning is improved.
Drawings
FIG. 1 is a schematic flow diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. 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.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Example 1
An earth and rockfill dam safety state early warning method comprises the following steps:
s1, determining parameters to be monitored by the early warning monitoring module according to the occurrence principle and the occurrence process of the earth and rockfill dam disasters and the self characteristics of the dam body of the earth and rockfill dam, wherein the early warning monitoring module can obtain the self characteristics, the environmental quantity indexes, the dynamic characteristics and the kinematic indexes of the earth and rockfill dam.
In the safety monitoring of the earth and rockfill dam, the prevention of overtopping and bursting is an important content for disaster prevention and control of the earth and rockfill dam, so that the self characteristics of a dam body are analyzed according to the characteristics of the earth and rockfill dam, including dam building materials and dam height, the stability of the earth and rockfill dam is determined by the quality of the dam building materials, and the higher the dam is, the lower the stability is; in addition, the water storage condition of the earth-rock dam greatly influences the stability of the dam body, so that the environmental quantity is correspondingly monitored, and the environmental quantity indexes comprise 24-hour rainfall, reservoir water level and osmotic pressure; the dynamic characteristics can reflect the stability of the dam body from the side surface, and include amplitude, frequent vibration frequency, abnormal vibration frequency and vibration impact acceleration; the kinematic indexes can reflect the deformation condition of the dam body, including the inclination angle amount, the inclination angle change rate, the displacement amount and the displacement change rate.
Other indicators may also be added depending on the condition of the particular monitored target.
S2, determining the weighted value of each monitoring index of each monitoring position, determining the early warning grade quantity of each monitoring index according to the monitoring value and the weighted value of each monitoring index, and calculating the comprehensive early warning grade quantity according to the early warning grade quantity of each monitoring index.
Determining indexes which change along with the magnitude of the safety risk of the earth-rock dam in each index as monitoring indexes, wherein the monitoring numerical values of all monitoring indexes N jointly determine the comprehensive early warning grade quantity FCBy means of a comprehensive early warning level quantity FCDetermining whether the earth-rock dam is in a dangerous state and the dangerous degree, wherein the importance degree of each monitoring index N is different, and the numerical value of each monitoring index N is the final early warning grade quantity FCThe contribution degrees are different, and different weight values w are respectively given to each monitoring index of each monitoring position according to the risk size of each monitoring position and the importance of the monitoring indexiBefore carrying out the early warning of the safety state of the earth-rock dam, the weight value w of each monitoring index N needs to be determinediThe closer the monitoring position is to the dangerous point, the more the weight value w of the monitoring index NiThe higher the safety state disaster inducing factor corresponding to the monitoring index N, the more dominant the weight value wiThe higher the(ii) a Weight value w of monitoring index NiThe higher the monitoring index N is, the increased early warning level quantity FiThe larger, i.e. Fi∝wi
Comprehensive early warning level quantity F of potential safety hazard pointsCThe sum of the early warning grade quantities of each monitoring index N of each monitoring position is equal to:
Figure BDA0003429776720000051
m is the number of monitoring positions, and n is the number of monitoring indexes.
The following is the early warning level quantity F of each monitoring index N of one monitoring positioniThe specific determination method comprises the following steps:
1. rainfall in 24 hours.
The two influencing factors of the rainfall and the occurrence time reflect the early warning level quantity of the rainfall in 24 hours.
The rainfall in the past 24 hours is divided into four grades of no rain, light rain or medium rain, heavy rain or heavy rain, heavy rain or extra heavy rain, and the larger the rainfall is, the larger the corresponding early warning grade quantity is. Meanwhile, the time from the occurrence moment of the maximum rainfall to the early warning system of the earth and rockfill dam disaster is analyzed, the time is short, the more the occurrence moment of the maximum rainfall is close, and the warning grade quantity is large. The specific formula is as follows:
Figure BDA0003429776720000052
in the formula: f1-rainfall early warning level amount; w is a1-24 hours rainfall weight; r is the maximum rainfall, and when R is more than 6.7, R is 6.7; t is1-the moment of occurrence of maximum rainfall; t, calculating the triggering time by the early warning system of the earth and rockfill dam disasters.
2. Reservoir level. The larger the reservoir water level W is, the larger the corresponding early warning level quantity is, namely F2=w2×W。
3. Osmotic pressure. Penetration ofThe greater the pressure P, the greater the corresponding warning level quantity, i.e. F3=w3×P。
4. The amount of tilt. As the inclination angle theta increases, the amount of the early warning level thereof increases, i.e. F4=w4And θ, when θ > 2, θ is 2.
5. The rate of change of the tilt angle. Rate of change of inclination vθIs the amount of change in inclination angle per day. And calculating the change rate of the inclination angle by taking the average value of the inclination angles acquired by the device temperature median fluctuation of 4 ℃ every day so as to reduce the influence of the inclination angle temperature drift. As the rate of change of the inclination increases, the amount of its warning level increases, i.e. F5=w5×vθWhen v isθWhen > 1.5, vθ=1.5。
6. The amount of displacement. As the displacement d increases, the warning level thereof increases, i.e., F6=w6X d, when d > 30, d is 30.
7. Rate of change of displacement. Rate of change of displacement vdThe amount of change in displacement per day. As the rate of change of displacement increases, the amount of its warning level increases, i.e. F7=w7×vdWhen v isdAt > 2.3, vd=2.3。
8. The frequency of the constant vibration. Recording the first stable constant vibration frequency measured after the monitoring equipment is installed as the initial constant vibration frequency f0The frequency of the vibration measured in real time is fnThe rate of change v of the safety measure is
Figure BDA0003429776720000061
The greater the safety degree change rate is, the greater the corresponding early warning grade quantity is, namely F8=w8×v。
9. Frequency of abnormal vibration
Vibration amplitude V and vibration frequency NVThe two influencing factors reflect the early warning level quantity of the abnormal vibration frequency.
Recording the vibration amplitude and the vibration times in a set time interval, wherein the more the vibration times are, the more the early warning grade quantity isLarge; the larger the vibration amplitude value at each time is, the larger the early warning grade quantity is, namely F9=w9X V × N, when V × N > 2.5, V × N is 2.5.
10. Amplitude of vibration. The larger the amplitude A, the larger the corresponding warning level amount, i.e. F10=w10X a, when a > 0.5, a ═ 0.5.
11. Vibration shock acceleration. Acceleration value V of generated vibration impactaccThe larger the corresponding warning level amount, i.e. F11=w11×Vacc
As shown in Table 1, the basic weight values w corresponding to 11 detection indexes are giveniAnd adjusting the weight value w of each foundation according to the self characteristics of the dam bodyiThe principle of (1):
TABLE 1 weight table of monitoring index
Figure BDA0003429776720000062
And S3, determining the early warning grade according to the comprehensive early warning grade quantity, and generating and outputting early warning information.
The comprehensive early warning grade quantity of the safety state point can be obtained by synthesizing the early warning grade quantities of all the monitoring indexes, the comprehensive early warning grade quantity of the safety state point corresponds to the early warning grade, and the early warning grade is divided into five grades of green, blue, yellow, orange and red early warning, as shown in the following chart:
Figure BDA0003429776720000071
and determining the early warning grade according to the comprehensive early warning grade quantity, and generating and displaying early warning information.
And S4, taking corresponding countermeasures according to different early warning levels.
After the early warning level of the safety state point is obtained, different measures are taken according to different early warning levels, and the early warning level 0 is safe and does not need to be processed; the early warning level I prompts a site to pay attention to observation after being confirmed by a professional; the early warning level II prompts field enhanced observation after being confirmed by professionals, the monitoring index acquisition frequency is encrypted, and the early warning level II is recovered after 12 hours; the early warning level III prompts on-site troubleshooting after being confirmed by professionals, the monitoring index acquisition frequency is encrypted, and the early warning level III is recovered after 24 hours; and (4) early warning level IV, automatically warning field personnel by the system, paying attention to risk avoidance and troubleshooting, and encrypting the monitoring index acquisition frequency until the field troubleshooting is carried out and the safety problem is processed.
Example 2
An earth and rockfill dam safety state early warning system, comprising: the early warning monitoring data module is used for acquiring the self characteristics, environmental quantity indexes, dynamic characteristics, kinematic indexes and other indexes of the earth-rock dam; the comprehensive early warning level quantity calculation module calculates the comprehensive early warning level quantity according to the monitoring numerical values and the weighted values of all monitoring indexes in the monitoring data module; the early warning information output module is used for outputting and displaying early warning information; and the operation and maintenance control module is used for monitoring and controlling the operation condition of each module of the earth and rockfill dam safety state early warning system.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.

Claims (10)

1. An earth and rockfill dam safety state early warning method is characterized by comprising the following steps:
s1, determining parameters to be monitored by the early warning monitoring module according to the occurrence principle and the occurrence process of the disaster of the earth and rockfill dam and the self characteristics of the dam body of the earth and rockfill dam, wherein the early warning monitoring module can obtain the self characteristics, the environmental quantity index, the dynamic characteristic and the kinematic index of the earth and rockfill dam;
s2, determining the weighted value of each monitoring index of each monitoring point, determining the early warning level quantity of each monitoring index according to the monitoring value and the weighted value of each monitoring index, and calculating the comprehensive early warning level quantity according to the early warning level quantity of each monitoring index;
s3, determining an early warning grade according to the comprehensive early warning grade quantity, generating output and displaying early warning information;
and S4, taking corresponding countermeasures according to different early warning levels.
2. The method of claim 1, wherein the early warning of the safety state of the earth and rockfill dam is performed by the early warning unit,
the characteristics of the dam body comprise a dam building material and a dam height;
the environmental quantity indexes comprise 24-hour rainfall, reservoir water level and osmotic pressure;
the dynamic characteristics comprise amplitude, normal vibration frequency, abnormal vibration frequency and vibration impact acceleration;
the kinematic index includes an inclination angle amount, an inclination angle change rate, a displacement amount and a displacement change rate.
3. The method of claim 1, wherein the early warning of the safety state of the earth and rockfill dam is performed by the early warning unit,
the comprehensive early warning grade quantity FCEarly warning level quantity F equal to each monitoring index N of each monitoring pointiAnd (3) the sum:
Figure FDA0003429776710000011
m is the number of monitoring points, n is the number of monitoring indexes, fmThe sum of the early warning grade quantities of the n monitoring indexes of the m-th monitoring point.
4. The method of claim 1, wherein the early warning of the safety state of the earth and rockfill dam is performed by the early warning unit,
the early warning level quantity F of 24-hour rainfall1The calculation formula of (a) is as follows:
Figure FDA0003429776710000012
in the formula: f1-24 hours rainfall early warning level amount; w is a1-24 hours rainfall weight; r-maximum rainfall in 24 hours, when R>When 6.7, R is 6.7; t is1-the moment of occurrence of maximum rainfall; t, calculating triggering time by an early earth-rock dam disaster early warning system;
early warning level quantity F of reservoir water level W2The calculation formula of (a) is as follows:
F2=w2×W,w2the weight value of the reservoir water level W;
the early warning grade quantity F of the osmotic pressure P3The calculation formula of (a) is as follows:
F3=w3×P,w3the weight value of osmotic pressure P;
the early warning level quantity F of the inclination angle quantity theta4The calculation formula of (a) is as follows:
F4=w4x theta, when theta is greater than 2, theta is 2, w4A weighted value of the inclination angle theta;
the rate of change of inclination vθEarly warning level quantity F5The calculation formula of (a) is as follows:
F5=w5×vθwhen v isθWhen greater than 1.5, vθ=1.5,w5Is the rate of change v of the inclination angleθThe weight value of (1);
the early warning grade quantity F of the displacement d6The calculation formula of (a) is as follows:
F6=w6x d, when d > 30, d is 30, w6A weight value of the displacement d;
said rate of change of displacement vdEarly warning level quantity F7The calculation formula of (a) is as follows:
F7=w7×vdwhen v isdAt > 2.3, vd=2.3,w7Is the rate of change v of displacementdThe weight value of (1);
the early warning level F of the normal vibration frequency8The calculation formula of (a) is as follows:
F8=w8×v;
Figure FDA0003429776710000021
f0at an initial constant vibration frequency, fnFor the constant vibration frequency of real-time measurement, v is the rate of change of safety, w8The weight value is the constant vibration frequency;
the early warning level quantity F of the abnormal vibration frequency9The calculation formula of (a) is as follows:
F9=w9x V × N, when V × N > 2.5, V × N is 2.5;
v is the vibration magnitude, N is the vibration frequency, w9A weight value of an abnormal vibration frequency;
the early warning level quantity F of the amplitude A10The calculation formula of (a) is as follows:
F10=w10x A, when A > 0.5, A ═ 0.5, w10A weight value of amplitude A;
the vibration impact acceleration VaccEarly warning level quantity F11The calculation formula of (a) is as follows:
F11=w11×Vacc,w11is the weighted value of the vibration impact acceleration.
5. The early warning method for the safety state of the earth and rockfill dam as claimed in claim 4, wherein the weight value of each monitoring index is adjusted according to the self-characteristics of the dam body of the earth and rockfill dam.
6. The early warning method for the safety state of the earth and rockfill dam as claimed in claim 5, wherein the poorer the dam body material, the weighted value w1、w2、w3The larger.
7. The early warning method for the safety state of the earth and rockfill dam as claimed in claim 5, wherein the poorer the dam body material, the higher the dam height, and the weight w4、w5、w6、w7The larger.
8. The early warning method for the safety state of the earth and rockfill dam as claimed in claim 5, wherein the higher the dam height is, the higher the weight value w8、w9、w10、w11The larger.
9. The method of claim 1, wherein the early warning levels are classified into five levels, i, ii, iii and iv, and the five levels correspond to green, blue, yellow, orange and red early warnings, respectively.
10. The utility model provides an earth and rockfill dam safety condition early warning system which characterized in that includes:
the earth and rockfill dam monitoring data module is used for acquiring and storing data of dam body self characteristics, environmental quantity indexes, dynamic characteristics and kinematic indexes of the earth and rockfill dam;
the comprehensive early warning level quantity calculation module calculates the comprehensive early warning level quantity through the monitoring numerical values and weighted values of all monitoring indexes in the earth and rockfill dam monitoring data module;
the early warning information output module is used for generating, outputting and displaying early warning information;
and the operation and maintenance control module is used for monitoring and controlling the operation condition of each module of the earth and rockfill dam safety state early warning system.
CN202111590730.8A 2021-12-23 2021-12-23 Earth and rockfill dam safety state early warning method and system Active CN114495430B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111590730.8A CN114495430B (en) 2021-12-23 2021-12-23 Earth and rockfill dam safety state early warning method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111590730.8A CN114495430B (en) 2021-12-23 2021-12-23 Earth and rockfill dam safety state early warning method and system

Publications (2)

Publication Number Publication Date
CN114495430A true CN114495430A (en) 2022-05-13
CN114495430B CN114495430B (en) 2023-04-07

Family

ID=81493272

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111590730.8A Active CN114495430B (en) 2021-12-23 2021-12-23 Earth and rockfill dam safety state early warning method and system

Country Status (1)

Country Link
CN (1) CN114495430B (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101477207A (en) * 2009-01-20 2009-07-08 中国科学院水利部成都山地灾害与环境研究所 Intelligent geological calamity synthetic monitoring system and multi-stage prediction analysis method
WO2015133076A1 (en) * 2014-03-05 2015-09-11 日本電気株式会社 Disaster response system, disaster response method, disaster-sensing device, and processing method therefor
CN108681848A (en) * 2018-08-25 2018-10-19 黄河水利委员会黄河水利科学研究院 One kind " Trinity " small reservoir or silt arrester flood season method for early warning
JP2018173342A (en) * 2017-03-31 2018-11-08 国立研究開発法人産業技術総合研究所 Rainfall sensor, rainfall estimation device, rainfall estimation method, and rainfall estimation system
CN110211336A (en) * 2019-05-16 2019-09-06 西南交通大学 The method of sensor-based landslide data intelligence processing
CN112381309A (en) * 2020-11-23 2021-02-19 珠江水利委员会珠江水利科学研究院 Reservoir dam safety monitoring and early warning method, device and system and storage medium
CN112530138A (en) * 2020-11-30 2021-03-19 北京中关村智连安全科学研究院有限公司 Early warning method for rock mass collapse
CN112991691A (en) * 2021-03-26 2021-06-18 重庆市地质灾害防治中心 Intelligent interactive monitoring and early warning system for geological disasters

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101477207A (en) * 2009-01-20 2009-07-08 中国科学院水利部成都山地灾害与环境研究所 Intelligent geological calamity synthetic monitoring system and multi-stage prediction analysis method
WO2015133076A1 (en) * 2014-03-05 2015-09-11 日本電気株式会社 Disaster response system, disaster response method, disaster-sensing device, and processing method therefor
JP2018173342A (en) * 2017-03-31 2018-11-08 国立研究開発法人産業技術総合研究所 Rainfall sensor, rainfall estimation device, rainfall estimation method, and rainfall estimation system
CN108681848A (en) * 2018-08-25 2018-10-19 黄河水利委员会黄河水利科学研究院 One kind " Trinity " small reservoir or silt arrester flood season method for early warning
CN110211336A (en) * 2019-05-16 2019-09-06 西南交通大学 The method of sensor-based landslide data intelligence processing
CN112381309A (en) * 2020-11-23 2021-02-19 珠江水利委员会珠江水利科学研究院 Reservoir dam safety monitoring and early warning method, device and system and storage medium
CN112530138A (en) * 2020-11-30 2021-03-19 北京中关村智连安全科学研究院有限公司 Early warning method for rock mass collapse
CN112991691A (en) * 2021-03-26 2021-06-18 重庆市地质灾害防治中心 Intelligent interactive monitoring and early warning system for geological disasters

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
杨涛: "高速公路路基滑坡成因及整治研究", 《工程建设与设计》 *
金海元: "《岩石高边坡监测预警综合评价方法研究》", 《长江科学院院报》 *

Also Published As

Publication number Publication date
CN114495430B (en) 2023-04-07

Similar Documents

Publication Publication Date Title
CN114495429B (en) Early warning method and early warning system for collapse disasters
CN115325928B (en) Landslide earth surface crack integrated monitoring system based on Beidou communication
CN111105600A (en) Cutting slope stability dynamic monitoring and early warning system and method based on rainfall condition
CN108105039B (en) A kind of deformation test device and application thereof that wind-driven generator tower is connect with basis
CN114495428A (en) Early warning method and system for landslide disaster
CN114511129A (en) Bridge safety state early warning method and system
CN106023530A (en) Heavy rain type diluted debris flow monitoring, forecast and early warning device and method
CN112814011B (en) Ultra-large open caisson foundation construction monitoring system and construction regulation and control method based on monitoring system
CN113155186A (en) Dam safety monitoring management equipment and system thereof
CN108229022A (en) Real-time method of the temperature to high frequency sampling Index Influence is rejected in a kind of bridge structure on-line monitoring
CN105000486B (en) Two dimension tower crane verticality measurement devices and its method of testing
CN114495430B (en) Earth and rockfill dam safety state early warning method and system
CN113763674A (en) Remote absolute stress real-time monitoring and early warning system and method
JP7141309B2 (en) Quantitative evaluation system for disaster occurrence risk caused by ground displacement, its method, and its program
CN115187033A (en) Intelligent construction site construction safety risk early warning system and method thereof
CN113802565A (en) Foundation pit and structure integrated intelligent monitoring system and method in steelmaking workshop
CN207851308U (en) Object space variation monitoring system based on satellite positioning
CN108458752A (en) A kind of control system in damping bridge
CN111398997A (en) Dam safety monitoring device and method based on Beidou and inertial navigation
CN114446017B (en) Safety state early warning method for towering structure
CN115273410A (en) Sudden landslide monitoring and early warning system based on big data
CN106225916A (en) Quantitative, the online detection method of fixed offshore platform security reliability
CN104912122A (en) Determining method for foundation pit engineering monitoring data alarm grade
CN102864794B (en) Method for monitoring displacement of anchor structure by utilizing pressure difference
JP6326155B1 (en) Ground tilt confirmation method using ground inclinometer

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: A method and system for warning the safety status of earth rock dams

Effective date of registration: 20231205

Granted publication date: 20230407

Pledgee: Zhongguancun Branch of Bank of Beijing Co.,Ltd.

Pledgor: Beijing Zhongguancun Zhilian Safety Science Research Institute Co.,Ltd.

Registration number: Y2023980069604

PE01 Entry into force of the registration of the contract for pledge of patent right