CN-121409344-B - Safety monitoring method and system applied to small reservoir dam

CN121409344BCN 121409344 BCN121409344 BCN 121409344BCN-121409344-B

Abstract

The application provides a safety monitoring method and a safety monitoring system applied to a small reservoir dam, belongs to the field of hydraulic engineering management, and is used for solving the problem that the safety risk of the small reservoir dam in the related technology is difficult to evaluate timely, comprehensively and accurately, comprehensively analyzing the risk condition of the small reservoir dam from multiple dimensions of real-time seepage flow, seepage pressure and surface deformation conditions, determining environmental risk influence through environment monitoring data, determining trend risk influence through the seepage flow, seepage pressure and surface deformation conditions, finally determining comprehensive risk value, and timely, comprehensively and accurately evaluating the safety risk condition of the dam by the comprehensive risk value, thereby being beneficial to better execution of management work of the dam and facilitating guarantee of life and property safety of downstream people.

Inventors

HE BINGSHUN
TU YONG
CHANG XIAOPING
YAO QIULING
CHEN YAO
HE XINYAN
LI LEI
YIN YONG

Assignees

中国水利水电科学研究院
北京国信华源科技有限公司

Dates

Publication Date: 20260508
Application Date: 20251229

Claims (9)

1. A safety monitoring method for a small reservoir dam, comprising: collecting environment monitoring data, seepage flow monitoring data, seepage pressure monitoring data of a plurality of seepage pressure monitoring points and monitoring point position data of a plurality of surface deformation monitoring points of a small reservoir dam in real time; analyzing the seepage flow monitoring data to obtain seepage flow quantum risk values, wherein the seepage flow quantum risk values are related to one or more of the accumulated value of the seepage flow monitoring data, the extremely poor seepage flow monitoring data and the change condition of the seepage flow monitoring data from the reference moment to the current moment; Analyzing the seepage pressure monitoring data to obtain seepage pressure sub-risk values, wherein the seepage pressure sub-risk values are related to one or more of the accumulated value of the seepage pressure monitoring data from the reference moment to the current moment, the accumulated value of the seepage pressure monitoring data which is not lower than a seepage pressure threshold value, the distribution condition of the seepage pressure monitoring data and the seepage pressure change condition; analyzing the monitoring point position data to obtain a surface deformation sub-risk value, wherein the surface deformation sub-risk value is related to one or more of the accumulated space displacement of each surface deformation monitoring point, the accumulated relative displacement of each surface deformation monitoring point relative to other surface deformation monitoring points and the sum of the position change amounts of the monitoring point position data of the surface deformation monitoring points in unit time exceeding a displacement threshold; Analyzing the change conditions of the seepage sub-risk value, the seepage pressure sub-risk value and the surface deformation sub-risk value from the reference moment to the middle moment and from the middle moment to the current moment, and determining risk trend influence coefficients; analyzing the environment monitoring data to obtain an environment risk influence coefficient; Determining a comprehensive risk value according to the pre-acquired comprehensive risk base value, the seepage sub-risk value, the seepage pressure sub-risk value, the surface deformation sub-risk value, the risk trend influence coefficient and the environment risk influence coefficient; the reference time is pre-acquired, and the intermediate time is the intermediate time between the reference time and the current time; the analyzing the seepage flow monitoring data to obtain a seepage flow quantum risk value comprises the following steps: the reference time is set to be included in the current time The seepage monitoring data of each unit time length are respectively from first to last in time To the point of The seepage quantum risk value is Then In the formula, For the maximum value of the seepage monitoring data from the reference time to the current time, For the minimum value of the seepage monitoring data from the reference time to the current time, 、、 Are all calculated coefficients greater than zero, and 。
2. The method of claim 1, wherein said analyzing said osmotic pressure monitoring data to obtain an osmotic pressure sub-risk value comprises: the reference time is set to be included in the current time A unit time length from time to time from first to last from 1 to The seepage pressure monitoring point is The seepage pressure monitoring data of the ith unit time length of the jth seepage pressure monitoring point is that The seepage pressure sub-risk value is Then In the formula, 、、、 Are all calculated coefficients greater than zero, Is the osmotic pressure threshold value, and 。
3. The method of claim 1, wherein said analyzing the monitoring point location data to obtain a surface deformation sub-risk value comprises: the reference time is set to be included in the current time A unit time length from time to time from first to last from 1 to The surface deformation monitoring points are The monitoring point position data of the ith unit time length of the jth surface deformation monitoring point is that The risk value of the surface deformation sub is Then In the formula, 、、 Are all calculated coefficients greater than zero.
4. The method of claim 1, wherein analyzing the change in the risk value of the seepage quanta, the risk value of the seepage pressure sub and the risk value of the surface deformer from the reference time to the middle time and from the middle time to the current time, and determining the risk trend influence coefficient comprises: setting the seepage flow sub-risk value from the reference time to the middle time, and the seepage flow pressure sub-risk value and the surface deformation sub-risk value as respectively 、、 The seepage flow sub-risk value, the seepage flow pressure sub-risk value and the surface deformation sub-risk value from the middle moment to the current moment are respectively 、、 Risk trend impact coefficient of Then In the formula, For calculating coefficient in advance and , Is a preset seepage flow risk reference value, Is a preset reference value of seepage pressure risk, Is a preset surface deformation risk reference value.
5. The method of claim 1, wherein analyzing the environmental monitoring data to obtain an environmental risk impact coefficient comprises: determining a quantified environmental impact value based on the environmental monitoring data; Let the comprehensive environmental impact value be E and the environmental risk impact coefficient be Then In the formula, For calculating coefficient in advance and 。
6. The method of claim 5, wherein determining a quantized environmental impact value based on environmental monitoring data comprises: Providing environmental monitoring data comprising The environmental monitoring data of the ith dimension is determined as environmental dimension influence value based on the pre-acquired risk influence rule , Then In which, in the process, The computing weights are preconfigured for the environmental monitoring data of the ith dimension.
7. The method according to any one of claims 1-6, wherein said determining the composite risk value from the pre-acquired composite risk base value and the seepage sub-risk value, seepage pressure sub-risk value, surface deformation sub-risk value, risk trend influence coefficient and environmental risk influence coefficient comprises: Let the seepage quanta risk value be The seepage pressure sub-risk value is The risk value of the surface deformation sub is as follows The risk trend influence coefficient is The environmental risk influence coefficient is Wherein, the seepage flow quantum risk value, the seepage flow pressure sub risk value and the surface deformation sub risk value are positive real numbers, and the risk trend influence coefficient and the environment risk influence coefficient are included in the value ranges The comprehensive risk value is R, then In the formula, Is a preset upper limit value of the comprehensive risk, For a base risk value preset with respect to the reference moment, 、、 Is a preset calculation coefficient larger than zero.
8. The method of claim 7, wherein the method further comprises: When the comprehensive risk value is higher than a preset first risk threshold value, generating a first inspection trigger instruction, wherein the first inspection trigger instruction is used for triggering unmanned inspection equipment to inspect a small reservoir dam; And when the comprehensive risk value is higher than a second risk threshold, generating a second inspection trigger instruction, wherein the second inspection trigger instruction is used for touching inspection personnel so that the inspection personnel inspect the small reservoir dam, and the second risk threshold is higher than the first risk threshold.
9. The safety monitoring system for the small reservoir dam is characterized by comprising an environment monitoring module (110), a seepage flow monitoring module (120), a seepage flow pressure monitoring module (130), a surface deformation monitoring module (140) and a system control module (150); the environment monitoring module (110) is used for collecting environment monitoring data of the small reservoir dam; the seepage monitoring module (120) is used for collecting seepage monitoring data of the small reservoir dam; The seepage pressure monitoring module (130) is used for collecting seepage pressure monitoring data of a plurality of seepage pressure monitoring points of the small reservoir dam; the surface deformation monitoring module (140) is used for collecting monitoring point position data of a plurality of surface deformation monitoring points of the small reservoir dam; the system control module (150) is configured to perform the method of any of claims 1-8.

Description

Safety monitoring method and system applied to small reservoir dam Technical Field The application relates to the field of hydraulic engineering management, in particular to a safety monitoring method and system applied to a small reservoir dam. Background The small reservoir occupies an important position in a water conservancy system and has great significance in aspects of flood control, irrigation, water supply and the like. A large number of small reservoirs (about 9.7 thousands of reservoirs are counted according to incomplete statistics) are distributed in China, which is favorable for guaranteeing flood control safety of watercourses, life and property safety of people and the like, and is an important hydraulic engineering management work for safety monitoring of small reservoir dams. The existing small reservoir safety monitoring work generally depends on simple instrument measurement, and although the simple instrument measurement can also realize continuous monitoring of certain potential safety hazard factors of the small reservoir dam, the monitoring strategy is often single-dimensional or multiple independent dimensions, comprehensive assessment of the overall safety risk of the small reservoir dam by combining multiple dimensions is difficult to realize, and even if the monitoring results of the multiple dimensions are fused into an overall assessment index through a general weighted calculation strategy, the overall safety condition of the dam is difficult to comprehensively and accurately reflect by the assessment index. In summary, the simple instrument measurement is utilized to carry out safety supervision on the small reservoir dam, which is not beneficial to timely, comprehensively and accurately evaluating the safety condition of the dam, is difficult to discover the potential safety hazard of the small reservoir dam in time, is not beneficial to safety management of the dam, and is also not beneficial to guaranteeing the life and property safety of downstream people. Disclosure of Invention The application provides a safety monitoring method and a safety monitoring system applied to a small reservoir dam, which can timely, comprehensively and accurately evaluate the safety condition of the dam, are beneficial to better execution of management work of the dam, and are convenient for guaranteeing the life and property safety of downstream people. In a first aspect, the present application provides a safety monitoring method for use in a small reservoir dam. The method comprises the following steps: collecting environment monitoring data, seepage flow monitoring data, seepage pressure monitoring data of a plurality of seepage pressure monitoring points and monitoring point position data of a plurality of surface deformation monitoring points of a small reservoir dam in real time; analyzing the seepage flow monitoring data to obtain seepage flow quantum risk values, wherein the seepage flow quantum risk values are related to one or more of the accumulated value of the seepage flow monitoring data, the extremely poor seepage flow monitoring data and the change condition of the seepage flow monitoring data from the reference moment to the current moment; Analyzing the seepage pressure monitoring data to obtain seepage pressure sub-risk values, wherein the seepage pressure sub-risk values are related to one or more of the accumulated value of the seepage pressure monitoring data from the reference moment to the current moment, the accumulated value of the seepage pressure monitoring data which is not lower than a seepage pressure threshold value, the distribution condition of the seepage pressure monitoring data and the seepage pressure change condition; analyzing the monitoring point position data to obtain a surface deformation sub-risk value, wherein the surface deformation sub-risk value is related to one or more of the accumulated space displacement of each surface deformation monitoring point, the accumulated relative displacement of each surface deformation monitoring point relative to other surface deformation monitoring points and the sum of the position change amounts of the monitoring point position data of the surface deformation monitoring points in unit time exceeding a displacement threshold; Analyzing the change conditions of the seepage sub-risk value, the seepage pressure sub-risk value and the surface deformation sub-risk value from the reference moment to the middle moment and from the middle moment to the current moment, and determining risk trend influence coefficients; analyzing the environment monitoring data to obtain an environment risk influence coefficient; Determining a comprehensive risk value according to the pre-acquired comprehensive risk base value, the seepage sub-risk value, the seepage pressure sub-risk value, the surface deformation sub-risk value, the risk trend influence coefficient and the environment risk influence coefficient; The reference time i