CN114511129A - Bridge safety state early warning method and system - Google Patents

Bridge safety state early warning method and system Download PDF

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CN114511129A
CN114511129A CN202111593464.4A CN202111593464A CN114511129A CN 114511129 A CN114511129 A CN 114511129A CN 202111593464 A CN202111593464 A CN 202111593464A CN 114511129 A CN114511129 A CN 114511129A
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early warning
bridge
monitoring
safety state
index
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卢晓莹
罗晓琴
熊娟
段文博
王家伟
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Beijing Zhongguancun Zhilian Safety Science Research Institute Co ltd
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Beijing Zhongguancun Zhilian Safety Science Research Institute Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/08—Construction

Abstract

The invention relates to a bridge safety state early warning method and a system, wherein the method comprises the following steps: determining parameters to be monitored by the early warning monitoring module according to the occurrence principle and the occurrence process of the bridge disaster and the self characteristics of the bridge, wherein the early warning monitoring module can obtain the self characteristics, the environmental quantity indexes, the dynamic characteristics and the kinematic indexes of the bridge; 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; 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 levels.

Description

Bridge 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 a method and a system for early warning the safety state of a bridge.
Background
With the development of national economy, the traffic is more and more convenient, and meanwhile, the demand and the construction of bridges are more and more. In the use process of the bridge, the structural damage of the bridge is continuously increased due to the aging of the self material, the long-term effect of the load and the fatigue effect. How to identify the damage in the using process of the bridge and analyze the current working state of the bridge is an important problem. At present, no mature and feasible method for evaluating the safety state of the bridge exists, and an evaluation method for integrating various monitoring indexes is provided.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a bridge safety state early warning method, which is used for comprehensively analyzing and judging various monitoring indexes by combining the self characteristics of a bridge, 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: a bridge 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 bridge disaster and the self characteristics of the bridge, wherein the early warning monitoring module can obtain the self characteristics, the environmental quantity index, the dynamic characteristic and the kinematic index of the bridge;
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 self characteristics of the bridge comprise bridge material, bridge span structure, stress characteristics, span and structure system; the environmental quantity index includes a wind speed; the dynamic characteristics comprise amplitude, damping, natural vibration frequency and abnormal vibration frequency; 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 BDA0003430424390000011
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 quantity F of the wind speed WS1The calculation formula of (a) is as follows:
F1＝w1x WS, when WS > 24.4, WS ═ 24.4, w1The weighted value of the wind speed WS;
the early warning level quantity F of the inclination angle quantity theta2The calculation formula of (a) is as follows:
F2＝w2x theta, when theta is greater than 2, theta is 2, w2A weighted value of the inclination angle theta;
the rate of change of inclination vθEarly warning level quantity F3The calculation formula of (a) is as follows:
F3＝w3×vθwhen v isθWhen > 0.07, vθ＝0.07，w3Is the rate of change v of the inclination angleθThe weight value of (1);
the early warning grade quantity F of the displacement d4The calculation formula of (a) is as follows:
F4＝w4x d, when d > 30, d is 30, w4A weight value of the displacement d;
the rate of change of displacement vdEarly warning level quantity F5The calculation formula of (a) is as follows:
F5＝w5×vdwhen v isdAt > 2.3, vd＝2.3，w5Is the rate of change v of displacementdThe weight value of (1);
the early warning level F of the natural frequency6The calculation formula of (a) is as follows:
Figure BDA0003430424390000021
f0is the initial natural frequency of vibration, fnFor real-time measurement of natural frequency, v is the rate of change of safety, w6A weight value of the natural vibration frequency;
the early warning level quantity F of the abnormal vibration frequency7The calculation formula of (a) is as follows:
F7＝w7x V × N, when V × N > 8, V × N ═ 8;
v is the vibration magnitude, N is the vibration frequency, w7A weight value of an abnormal vibration frequency;
the early warning level quantity F of the amplitude A8The calculation formula of (a) is as follows:
F8＝w8x A, when A > 10, A ═ 10, w8A weight value of amplitude A;
the early warning level quantity F of the damping D9The calculation formula of (a) is as follows:
F9＝w9×D，w9is the damping D weight value.
Further, the weight value of each monitoring index is adjusted according to the self characteristics of the bridge.
Further, the larger the bridge span is, the weight value w1The larger.
Further, the larger the bridge span is, the weight value w2、w3、w4、w5The smaller.
Further, when the bridge is of a steel structure, the weight value w6、w7、w8、w9And is increased.
Furthermore, the early warning grades are divided into five grades of 0, I, II, III and IV, and the grades respectively correspond to green, blue, yellow, orange and red early warnings.
On the other hand, the invention also provides a bridge safety state early warning system, which comprises:
the bridge monitoring data module is used for acquiring and storing data of self characteristics, environmental quantity indexes, dynamic characteristics and kinematic indexes of the bridge;
the comprehensive early warning grade quantity calculation module calculates the comprehensive early warning grade quantity through the monitoring numerical values and the weighted values of all monitoring indexes in the bridge 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 bridge safety state early warning system.
The invention has the following beneficial effects: the method comprehensively considers the self characteristics, environmental quantity indexes, dynamic characteristics, kinematic indexes and other indexes of the bridge, determines whether a monitoring area is in a dangerous state and the dangerous degree through 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 bridge disaster, comprehensive analysis and judgment are carried out on various monitoring indexes, 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.
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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
A bridge safety state early warning method comprises the following steps:
and S1, determining parameters to be monitored by the early warning monitoring module according to the occurrence principle and the occurrence process of the bridge disaster and the self characteristics of the bridge, wherein the early warning monitoring module can obtain the self characteristics, the environmental quantity indexes, the dynamic characteristics and the kinematic indexes of the bridge.
The bridge is influenced by the self structure form, the stability analysis focuses on different points, and the self characteristics comprise bridge material, bridge span structure, stress characteristics, span and structure system; meanwhile, the influence of the surrounding environment is often considered in analyzing the bridge safety state, mainly the influence of the wind speed on the bridge stability; the damage degree of the bridge can be embodied by dynamic characteristics, wherein the dynamic characteristics comprise amplitude, damping, natural vibration frequency and abnormal vibration frequency; meanwhile, kinematic indexes including inclination angle amount, inclination angle change rate, displacement amount and displacement change rate are assisted.
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 changing along with the bridge safety risk in each index as monitoring indexes, wherein each monitoring indexThe monitoring values of the index N jointly determine the comprehensive early warning grade quantity FCBy means of a comprehensive early warning level quantity FCDetermining whether the bridge 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 used for 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 bridge safety state early warning, the weighted 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; 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 BDA0003430424390000041
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. wind speed. The greater the wind speed WS is, the greater the corresponding early warning level quantity is, namely F1＝w1X WS, when WS > 24.4, WS ═ 24.4.
2. The amount of tilt. The larger the inclination angle theta is, the larger the corresponding early warning level quantity is, namely F2＝w2And θ, when θ > 2, θ is 2.
3. The rate of change of the tilt angle. Rate of change of inclination vθIs the amount of change in inclination angle per day. 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 temperature drift of the inclination angleInfluence. As the rate of change of the inclination increases, the amount of its warning level increases, i.e. F3＝w3×vθWhen v isθWhen > 0.07, vθ＝0.07。
4. The amount of displacement. As the displacement d increases, the warning level thereof increases, i.e., F4＝w4X d, when d > 30, d is 30.
5. 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. F5＝w5×vdWhen v isdAt > 2.3, vd＝2.3。
6. Natural vibration frequency. Recording the first stable natural vibration frequency measured after the monitoring device is installed as the initial natural vibration frequency f0The natural frequency of vibration measured in real time is fnThe rate of change v of the safety measure is
Figure BDA0003430424390000051
The greater the safety degree change rate is, the greater the corresponding early warning grade quantity is, namely F6＝w6×v。
7. Abnormal vibration frequency.
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 within a set time interval, wherein the more the vibration times are, the greater the early warning grade quantity is; the larger the vibration amplitude value at each time is, the larger the early warning grade quantity is, namely F7＝w7X V × N, when V × N > 8, V × N is 8.
8. Amplitude of vibration. The larger the amplitude A, the larger the corresponding warning level amount, i.e. F8＝w8X a, when a > 10, a ═ 10.
9. And (6) damping. The smaller the damping D is, the larger the corresponding early warning level quantity is, namely F9＝w9×D。
As shown in Table 1, 9 kinds of tests are givenBasic weight values w corresponding to the measured indexes respectivelyiAnd adjusting each basic weight value w according to the self characteristics of the bridgeiThe principle of (1):
TABLE 1 weight table of monitoring index
Figure BDA0003430424390000052
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 grades are divided into five grades of green, blue, yellow, orange and red early warning, and are as follows:
Figure BDA0003430424390000061
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 the 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
A bridge safety state early warning system, comprising: the early warning monitoring data module is used for acquiring self characteristics, environmental quantity indexes, dynamic characteristics, kinematic indexes and other index data of the bridge; 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 the monitoring indexes of the monitoring data module; the early warning information output module is used for outputting and displaying early warning information; and the control module is used for monitoring and controlling the operation condition of each module of the bridge 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. A bridge 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 bridge disaster and the self characteristics of the bridge, wherein the early warning monitoring module can obtain the self characteristics, the environmental quantity index, the dynamic characteristic and the kinematic index of the bridge;
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 bridge safety state early warning method according to claim 1,
the self characteristics of the bridge comprise bridge material, bridge span structure, stress characteristics, span and structure system;
the environmental quantity index includes a wind speed;
the dynamic characteristics comprise amplitude, damping, natural vibration frequency and abnormal vibration frequency;
the kinematic index includes an inclination angle amount, an inclination angle change rate, a displacement amount and a displacement change rate.
3. The bridge safety state early warning method according to claim 1,
the comprehensive early warning grade quantity FCThe early warning level quantity F of each monitoring index N equal to each monitoring pointiAnd (3) the sum:
Figure FDA0003430424380000011
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 bridge safety state early warning method according to claim 1,
the early warning level quantity F of the wind speed WS1The calculation formula of (a) is as follows:
F1＝w1x WS, when WS > 24.4, WS ═ 24.4, w1The weighted value of the wind speed WS;
the early warning level quantity F of the inclination angle quantity theta2The calculation formula of (a) is as follows:
F2＝w2x theta, when theta is greater than 2, theta is 2, w2A weighted value of the inclination angle theta;
the rate of change v of the inclination angleθEarly warning level quantity F3The calculation formula of (a) is as follows:
F3＝w3×vθwhen v isθWhen > 0.07, vθ＝0.07，w3Is the rate of change v of the inclination angleθThe weight value of (1);
the early warning grade quantity F of the displacement d4The calculation formula of (a) is as follows:
F4＝w4x d, when d > 30, d is 30, w4A weight value of the displacement d;
the rate of change of displacement vdEarly warning level quantity F5The calculation formula of (a) is as follows:
F5＝w5×vdwhen v isdAt > 2.3, vd＝2.3，w5Is the rate of change v of displacementdThe weight value of (1);
the early warning level quantity F of the natural vibration frequency6The calculation formula of (a) is as follows:
Figure FDA0003430424380000021
f0is the initial natural frequency of vibration, fnFor real-time measurement of natural frequency, v is the rate of change of safety, w6A weight value of the natural vibration frequency;
the early warning level quantity F of the abnormal vibration frequency7The calculation formula of (a) is as follows:
F7＝w7x V × N, when V × N > 8, V × N ═ 8;
v is the vibration magnitude, N is the vibration frequency, w7A weight value of an abnormal vibration frequency;
the early warning level quantity F of the amplitude A8The calculation formula of (c) is as follows:
F8＝w8x A, when A > 10, A ═ 10, w8A weight value of amplitude A;
the early warning level quantity F of the damping D9The calculation formula of (a) is as follows:
F9＝w9×D，w9is the damping D weight value.
5. The bridge safety state early warning method according to claim 4, wherein the weight value of each monitoring index is adjusted according to the self characteristics of the bridge.
6. The method of claim 5A bridge safety state early warning method is characterized in that the larger the bridge span is, the higher the weight value w1The larger.
7. The bridge safety state early warning method according to claim 5, wherein the larger the bridge span is, the weight value w is2、w3、w4、w5The smaller.
8. The bridge safety state early warning method according to claim 5, wherein when the bridge is of a steel structure, the weight value is w6、w7、w8、w9And is increased.
9. The bridge safety state early warning method according to claim 1, wherein the early warning grades are divided into five grades of 0, I, II, III and IV, and the grades respectively correspond to green, blue, yellow, orange and red early warnings.
10. A bridge safety state early warning system, characterized by, includes:
the bridge monitoring data module is used for acquiring and storing data of self characteristics, environmental quantity indexes, dynamic characteristics and kinematic indexes of the bridge;
the comprehensive early warning grade quantity calculation module calculates the comprehensive early warning grade quantity through the monitoring numerical values and the weighted values of all monitoring indexes in the bridge 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 bridge safety state early warning system.
CN202111593464.4A 2021-12-23 2021-12-23 Bridge safety state early warning method and system Pending CN114511129A (en)

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Application publication date: 20220517