CN114662358A - General type bridge foundation local scouring depth evaluation system - Google Patents
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Abstract
The invention discloses a general system for evaluating local scouring depth of a bridge foundation, which comprises: the data acquisition system is used for acquiring the water depth, the water level and the flow velocity of a monitoring point; the data processing system comprises a data storage module and a data analysis module; the data storage module is connected with the data acquisition system and used for storing monitoring point data acquired by the data acquisition system and bridge foundation early-stage scouring data; the data analysis module acquires data from the data storage module, calculates the scouring depth values of the monitoring points, and obtains numerical simulation predicted scouring depth values and fitting predicted scouring depth values; the early warning issuing system comprises a data evaluation module and an early warning information pushing module, wherein the data evaluation module is used for evaluating the early warning level of the basic health of the bridge; and the early warning information pushing module is used for releasing early warning information according to the early warning level. The method can accurately evaluate the health condition of the bridge foundation and protect the safety of the bridge foundation.
Description
Technical Field
The invention relates to the field of bridge foundation scouring depth monitoring devices. More specifically, the invention relates to a general system for evaluating partial scour depth of a bridge foundation.
Background
The local bridge scouring is the reason of the water damage of most bridges, and the repair is difficult after the occurrence, so that the evaluation and the prevention of the water damage of the bridges have important significance. At the present stage, the local scouring change of the bridge is monitored, a prediction model is established to predict and early warn the health safety of the bridge foundation, and a local scouring evaluation system of the bridge foundation is formed, and is a development trend of the health safety evaluation of the bridge foundation. In the prior art, a sonar technology and a multi-beam method are adopted for local scour monitoring technology on the periphery of a bridge foundation, and the monitoring method comprises fixed instrument monitoring and portable instrument monitoring. However, these methods currently obtain monitoring at long time intervals or irregularly, not only require manual underwater auxiliary measurement, but also the prediction result is not accurate enough.
Disclosure of Invention
It is an object of the present invention to address at least the above problems and to provide at least the advantages described hereinafter.
To achieve these objects and other advantages in accordance with the purpose of the invention, there is provided a general type bridge foundation partial scour depth evaluation system, comprising:
the data acquisition system is used for acquiring the water depth, the water level and the flow velocity of a monitoring point;
the data processing system comprises a data storage module and a data analysis module; the data storage module is connected with the data acquisition system and used for storing monitoring point data acquired by the data acquisition system and bridge foundation early-stage scouring data; the data analysis module acquires data from the data storage module, calculates the scouring depth values of the monitoring points, and obtains numerical simulation predicted scouring depth values and fitting predicted scouring depth values through numerical simulation calculation and genetic algorithm fitting calculation respectively;
the early warning issuing system comprises a data evaluation module and an early warning information pushing module, wherein the data evaluation module obtains a monitoring point scouring depth value, a numerical simulation prediction scouring depth value and a fitting prediction scouring depth value from the data analysis module, and the maximum value of the values is used for evaluating the early warning level of the bridge foundation health; and the early warning information pushing module is used for releasing early warning information according to the early warning level.
Preferably, the data acquisition system comprises a data acquisition device and a data transmission device; the data acquisition device is arranged on two sides of the bridge pier, the data transmission device comprises a network regulator, and the network regulator receives the data acquired by the data acquisition device and transmits the data to the data storage module.
Preferably, the data acquisition device includes osmometer, fluviograph and velocity meter, the osmometer the fluviograph with the velocity meter all transfers to the aquatic through telescopic wire rope, wherein transfers be provided with the inclinometer on the wire rope of osmometer, the bottom of osmometer is connected with the counter weight.
Preferably, the monitoring point flushing depth value hjCalculated as follows:
hj＝hs-hc-h′
in the formula: h issWater depth, h, measured by osmometercThe initial embedment elevation of the osmometer is shown, and h' is the tide level elevation measured by the water level meter.
Preferably, the bridge foundation pre-scouring data comprises a pre-scouring form map, scouring depth and scouring range which are obtained by numerical simulation calculation under different water levels and flow rates by adopting a finite difference method.
Preferably, the data analysis module is according to water level and velocity that data acquisition system gathered obtained adopt the interpolation method to wash the form data in earlier stage and handle, obtain the form map that washes under the corresponding condition, and extract the lowest value of elevation in the form map, regard the difference between the former riverbed elevation at the lowest value of elevation place and the lowest value of elevation as numerical simulation prediction and wash the depth value.
Preferably, the processing of the pre-flush form data by the interpolation method specifically comprises: fitting the data of the early-stage scouring form map, the water level and the flow rate by adopting a least square method to form a function about the data of the scouring form map, the water level and the flow rate; and when the current water level and the current flow rate are acquired by the data acquisition system, substituting the current water level and the current flow rate into the function to acquire the scouring depth and the scouring form map of the current water level and the current flow rate.
Preferably, the data analysis module performs the fitting calculation of the genetic algorithm according to the following formula, and the data analysis module performs the iterative fitting once again according to the following formula every time the data acquisition system performs the data acquisition:
in the formula: h is a total ofbTo fit the predicted washout depth value, v is the measured flow velocity of the rheometer, v'0Starting flow velocity for silt, B is the bridge pier foundation water blocking width, H is the water level measured by the water level meter, d is the median particle diameter of silt, g is the gravity acceleration, k1、k2、k3Are coefficients.
Preferably, the data evaluation module compares the maximum value of the monitoring point scour depth value, the numerical simulation predicted scour depth value and the fitting predicted scour depth value with a preset warning threshold value, and when the maximum value is larger than the warning threshold value, the bridge foundation health early warning is carried out in multiple stages according to the proportion of the maximum value in the warning threshold value.
Preferably, the early warning issuing system further comprises an expert diagnosis module, and the expert diagnosis module is used for confirming the evaluation result of the data evaluation module and sending an instruction to the early warning information pushing module.
The invention at least comprises the following beneficial effects:
1. the general system for evaluating the local scour depth of the bridge foundation acquires the real-time water depth, water level and flow rate of a monitoring point through the data acquisition system, calculates the scour depth value of the monitoring point, numerically simulates the predicted scour depth value and fits the predicted scour depth value through the data processing system, and evaluates the health early warning level of the bridge foundation according to the maximum value among the scour depth value of the monitoring point, the numerically simulated predicted scour depth value and the fit predicted scour depth value and sends out early warning information. The bridge foundation scouring form is predicted through real-time measurement data and bridge foundation early-stage scouring data, so that the bridge foundation scouring depth and distribution range are rapidly monitored, the bridge foundation health condition is accurately evaluated, and the bridge foundation safety is protected.
2. The osmometer, the water level meter and the flow meter in the general system for evaluating the local scouring depth of the bridge foundation are all put into water through the telescopic steel wire ropes so as to replace manual underwater auxiliary measurement, and the osmometer can be conveniently recycled to the water surface or the working table surface after each measurement is finished through the telescopic steel wire ropes so as to prevent the osmometer from being buried at the bottom of a bed due to silt back-silting.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
FIG. 1 is a system diagram of a system for evaluating a local scour depth of a bridge foundation according to the present invention;
FIG. 2 is a schematic diagram of the flush profile of the present invention.
Detailed Description
The present invention is further described in detail below with reference to the attached drawings so that those skilled in the art can implement the invention by referring to the description text.
It is to be noted that the experimental methods described in the following embodiments are all conventional methods unless otherwise specified, and the reagents and materials, if not otherwise specified, are commercially available; in the description of the present invention, the terms "lateral", "longitudinal", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing the present invention and simplifying the description, and 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.
As shown in fig. 1, the present invention provides a general system for evaluating partial scour depth of a bridge foundation, comprising:
the data acquisition system is used for acquiring the water depth, the water level and the flow velocity of a monitoring point;
the data processing system comprises a data storage module, a data preprocessing module and a data analysis module; the data storage module is connected with the data acquisition system and used for storing monitoring point data acquired by the data acquisition system and bridge foundation early-stage scouring data; the data analysis module acquires data from the data storage module, calculates the scouring depth values of the monitoring points, and obtains numerical simulation predicted scouring depth values and fitting predicted scouring depth values through numerical simulation calculation and genetic algorithm fitting calculation respectively;
the early warning issuing system comprises a data evaluation module and an early warning information pushing module, wherein the data evaluation module obtains a monitoring point scouring depth value, a numerical simulation prediction scouring depth value and a fitting prediction scouring depth value from the data analysis module, and the maximum value of the values is used for evaluating the early warning level of the bridge foundation health; and the early warning information pushing module is used for releasing early warning information according to the early warning level.
In the technical scheme, the data acquisition system acquires water depth, water level and flow rate data at a monitoring point on a bridge foundation by using monitoring equipment, and further comprises a data acquisition device and a data transmission device; the data acquisition device is arranged on two sides of the bridge pier and comprises an osmometer, a water level meter and a flow meter, wherein the osmometer is used for measuring the depth of water, the water level meter is used for measuring the tide level or the water level, and the flow meter is used for measuring the flow rate of a monitoring point. The osmometer, the water level gauge and the current meter are all lowered into water through a telescopic steel wire rope so as to replace manpower underwater auxiliary measurement. Wherein in order to prevent that wire rope from being inclined by the disturbance of rivers, transfer be provided with the inclinometer on the wire rope of osmometer in order to monitor its inclination to the bottom of osmometer is connected with the counter weight. In order to prevent the osmometer from being buried at the bottom of the bed due to silt back-silting, after each measurement, the osmometer is recovered to the water surface or the working table surface through a telescopic steel wire rope, and is lowered to the river/seabed after the next monitoring. The data transmission device comprises a network regulator, and the network regulator receives the data acquired by the data acquisition device by adopting a wireless Ethernet and transmits the data to the data storage module. Preferably, the data storage module further stores bridge infrastructure information, and the position and the equipment of the data acquisition device are basically novel.
The bridge foundation early-stage scouring data comprises an early-stage scouring form graph, scouring depth and scouring range which are obtained by numerical simulation calculation under different water levels and flow velocity conditions by adopting a finite difference method, namely, in early-stage hydrological data, data of the water levels and the flow velocity in normal value ranges are subjected to numerical simulation calculation on the scouring condition near a pier according to different water levels and flow velocity conditions by adopting the finite difference method, and the scouring form graph, the scouring depth and the scouring range under the boundary conditions of the same water level and different flow velocities and the boundary conditions of the same flow velocity and different water levels are obtained. The erosion form map refers to a topographic map of the river bed after being flushed by water flow, and comprises a plane position coordinate and a river bed elevation, and is generally displayed by adopting a contour map, as shown in fig. 2.
The data analysis module obtains monitoring point data and bridge foundation early-stage scouring data from the data storage module, and preferably, the data analysis module further eliminates abnormal data in a normal value area obviously exceeding the water level, the flow rate or the scouring depth.
The flushing depth value h of the monitoring point in the data analysis modulejThe calculation is performed as follows:
hj＝hs-hc-h′ (1)
in formula (1): h issWater depth h measured by osmometercThe initial embedment elevation of the osmometer is shown, and h' is the tide level elevation measured by the water level meter.
The data analysis module is according to water level and velocity that data acquisition system gathered obtained adopt the interpolation method to wash out the form data in earlier stage and handle, obtain the form map that washes out under the corresponding condition, and extract the minimum value of elevation in the form map that washes out, regard as numerical simulation prediction to wash out the depth value with the difference between the original riverbed elevation at the minimum value of elevation place and the minimum value of elevation. That is, the point corresponding to the lowest elevation value in the flush morphology map is the maximum flush depth point, such as the point G shown in fig. 2. In the above process, the processing of the pre-flush form data by the interpolation method specifically comprises: fitting the data of the early-stage scouring form map, the water level and the flow rate by adopting a least square method to form a function about the data of the scouring form map, the water level and the flow rate; and when the current water level and the current flow rate are acquired by the data acquisition system, substituting the current water level and the current flow rate into the function to acquire the scouring depth and the scouring form map of the current water level and the current flow rate.
The data analysis module performs genetic algorithm fitting calculation according to the following formula to obtain a fitting prediction washout depth value,
in formula (2): h isbPredicted washout depth value for fit, v is the measured flow velocity of the rheometer, v'0Starting flow velocity for silt, B is bridge pier foundation water blocking width, H is water level measured by a water level meter, d is median particle diameter of silt, g is gravity acceleration, k is1、k2、k3Are coefficients.
When the data acquisition system acquires data once, the data analysis module performs iterative fitting once again according to the formula (2) to obtain updated k1、k2、k3And the coefficients, thereby obtaining a more accurate fit to the predicted washout depth values.
And the data evaluation module compares the maximum value of the monitoring point scour depth value, the numerical simulation predicted scour depth value and the fitting predicted scour depth value obtained by the data analysis module with a preset warning threshold value, and when the maximum value is greater than the warning threshold value, the bridge foundation health early warning is carried out in multiple stages according to the proportion of the maximum value in the warning threshold value.
Preferably, the early warning level can be divided into three levels: when the maximum value is larger than a warning threshold value, performing primary warning; when the maximum value accounts for 70% of the warning threshold value, performing secondary warning; and when the maximum value accounts for 30% of the warning threshold value, performing three-level early warning.
The early warning issuing system further comprises an expert diagnosis module, and the expert diagnosis module is used for confirming the evaluation result of the data evaluation module and sending an instruction to the early warning information pushing module. And the expert diagnosis module is used for judging whether the scouring depth data, the evaluation conclusion and the early warning classification are accurate or not by an expert. The early warning information pushing module can issue early warning information in various forms, such as system interface information pushing, early warning sound prompting or short message pushing, and the like, which is not limited herein.
In consideration of the friendliness of human-computer interaction, the general bridge foundation partial scour depth evaluation system can further comprise an operation interface and a display interface.
While embodiments of the invention have been described above, it is not limited to the applications set forth in the description and the embodiments, which are fully applicable in various fields of endeavor to which the invention pertains, and further modifications may readily be made by those skilled in the art, it being understood that the invention is not limited to the details shown and described herein without departing from the general concept defined by the appended claims and their equivalents.
Claims (10)
1. A general type bridge basis partial scour depth evaluation system, characterized by includes:
the data acquisition system is used for acquiring the water depth, the water level and the flow velocity of a monitoring point;
the data processing system comprises a data storage module and a data analysis module; the data storage module is connected with the data acquisition system and used for storing monitoring point data acquired by the data acquisition system and bridge foundation early-stage scouring data; the data analysis module acquires data from the data storage module, calculates the scouring depth values of the monitoring points, and obtains numerical simulation predicted scouring depth values and fitting predicted scouring depth values through numerical simulation calculation and genetic algorithm fitting calculation respectively;
the early warning issuing system comprises a data evaluation module and an early warning information pushing module, wherein the data evaluation module obtains a monitoring point scouring depth value, a numerical simulation predicted scouring depth value and a fitting predicted scouring depth value from the data analysis module, and the maximum value of the values is used for evaluating the early warning level of the basic health of the bridge; and the early warning information pushing module is used for releasing early warning information according to the early warning level.
2. The system for evaluating the partial scour depth of a universal bridge foundation as claimed in claim 1, wherein the data acquisition system comprises a data acquisition device and a data transmission device; the data acquisition device is arranged on two sides of the bridge pier, the data transmission device comprises a network regulator, and the network regulator receives the data acquired by the data acquisition device and transmits the data to the data storage module.
3. The system for evaluating the partial scour depth of a universal bridge foundation according to claim 2, wherein the data acquisition device comprises an osmometer, a water level gauge and a flow meter, the osmometer, the water level gauge and the flow meter are all lowered into the water through a telescopic steel wire rope, an inclinometer is arranged on the steel wire rope for lowering the osmometer, and a counterweight is connected to the bottom of the osmometer.
4. The system for evaluating partial scour depth of a universal bridge foundation as claimed in claim 1, wherein the monitor point scour depth values hjThe calculation is performed as follows:
hj＝hs-hc-h′
in the formula: h is a total ofsWater depth h measured by osmometercThe initial embedment elevation of the osmometer is shown, and h' is the tide level elevation measured by the water level meter.
5. The system for assessing the partial scour depth of a bridge foundation according to claim 2, wherein the bridge foundation pre-scour data comprises pre-scour patterns, scour depths and scour ranges obtained by numerical simulation calculation under different water levels and flow rates by means of finite difference methods.
6. The system for evaluating the local scour depth of a universal bridge foundation according to claim 5, wherein the data analysis module processes the early-stage scour form data by an interpolation method according to the water level and the flow rate acquired by the data acquisition system to obtain a scour form map under corresponding conditions, extracts the lowest elevation value in the scour form map, and takes the difference between the original riverbed elevation at which the lowest elevation value is located and the lowest elevation value as a numerical simulation prediction scour depth value.
7. The system for evaluating the partial scour depth of a general bridge foundation according to claim 6, wherein the interpolation method for processing the pre-scour pattern data is specifically as follows: fitting the data of the early-stage scouring form map, the water level and the flow rate by adopting a least square method to form a function about the data of the scouring form map, the water level and the flow rate; and when the current water level and the current flow rate are acquired by the data acquisition system, substituting the current water level and the current flow rate into the function to acquire the scouring depth and the scouring form map of the current water level and the current flow rate.
8. The system for evaluating partial scour depth of a general bridge foundation according to claim 1, wherein the data analysis module performs a genetic algorithm fitting calculation according to the following formula, and the data analysis module performs a re-iterative fitting operation once for each data acquisition performed by the data acquisition system according to the following formula:
in the formula: h isbTo fit the predicted washout depth value, v is the measured flow velocity of the rheometer, v'0Starting flow velocity for silt, B is the bridge pier foundation water blocking width, H is the water level measured by the water level meter, d is the median particle diameter of silt, g is the gravity acceleration, k1、k2、k3Are coefficients.
9. The system for evaluating the local scour depth of a universal bridge foundation as claimed in claim 1, wherein the data evaluation module compares the maximum value of the scour depth values of the monitoring points, the numerical simulation predicted scour depth values and the fitting predicted scour depth values with a preset warning threshold value, and when the maximum value is greater than the warning threshold value, the bridge foundation health pre-warning is performed in multiple stages according to the proportion of the maximum value to the warning threshold value.
10. The system for evaluating the partial scour depth of a general bridge foundation according to claim 9, wherein the early warning issuing system further comprises an expert diagnosis module, and the expert diagnosis module is configured to confirm the evaluation result of the data evaluation module and send an instruction to the early warning information pushing module.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116090303A (en) * | 2023-01-16 | 2023-05-09 | 广东科诺勘测工程有限公司 | Risk assessment method, device and equipment for scouring state of offshore pile foundation |
| CN116861821A (en) * | 2023-09-04 | 2023-10-10 | 东莞理工学院 | Rapid prediction method for maximum scouring depth of bridge foundation based on artificial intelligence |
| CN118089822A (en) * | 2024-04-23 | 2024-05-28 | 东莞理工学院 | Intelligent monitoring system and method for bridge foundation scouring |
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2022
- 2022-02-25 CN CN202210181003.4A patent/CN114662358A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116090303A (en) * | 2023-01-16 | 2023-05-09 | 广东科诺勘测工程有限公司 | Risk assessment method, device and equipment for scouring state of offshore pile foundation |
| CN116090303B (en) * | 2023-01-16 | 2023-11-21 | 广东科诺勘测工程有限公司 | Risk assessment method, device and equipment for scouring state of offshore pile foundation |
| CN116861821A (en) * | 2023-09-04 | 2023-10-10 | 东莞理工学院 | Rapid prediction method for maximum scouring depth of bridge foundation based on artificial intelligence |
| CN116861821B (en) * | 2023-09-04 | 2023-11-03 | 东莞理工学院 | Rapid prediction method for maximum scouring depth of bridge foundation based on artificial intelligence |
| CN118089822A (en) * | 2024-04-23 | 2024-05-28 | 东莞理工学院 | Intelligent monitoring system and method for bridge foundation scouring |
| CN118089822B (en) * | 2024-04-23 | 2024-07-12 | 东莞理工学院 | Intelligent monitoring system and method for bridge foundation scouring |
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