CN114662358A - General type bridge foundation local scouring depth evaluation system - Google Patents
General type bridge foundation local scouring depth evaluation system Download PDFInfo
- Publication number
- CN114662358A CN114662358A CN202210181003.4A CN202210181003A CN114662358A CN 114662358 A CN114662358 A CN 114662358A CN 202210181003 A CN202210181003 A CN 202210181003A CN 114662358 A CN114662358 A CN 114662358A
- Authority
- CN
- China
- Prior art keywords
- data
- scour
- module
- bridge foundation
- water level
- 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.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims description 6
- 238000009991 scouring Methods 0.000 title abstract description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 69
- 238000012544 monitoring process Methods 0.000 claims abstract description 34
- 238000000034 method Methods 0.000 claims abstract description 24
- 238000007405 data analysis Methods 0.000 claims abstract description 22
- 238000004088 simulation Methods 0.000 claims abstract description 21
- 238000013500 data storage Methods 0.000 claims abstract description 17
- 238000011157 data evaluation Methods 0.000 claims abstract description 13
- 230000036541 health Effects 0.000 claims abstract description 11
- 238000012545 processing Methods 0.000 claims abstract description 4
- 238000004364 calculation method Methods 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 6
- 238000004422 calculation algorithm Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 claims description 6
- 230000002068 genetic effect Effects 0.000 claims description 6
- 239000013049 sediment Substances 0.000 claims description 6
- 238000003745 diagnosis Methods 0.000 claims description 5
- 230000001133 acceleration Effects 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 claims description 3
- 230000000903 blocking effect Effects 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 3
- 230000005484 gravity Effects 0.000 claims description 3
- 239000002245 particle Substances 0.000 claims description 3
- 230000003628 erosive effect Effects 0.000 claims 1
- 238000005259 measurement Methods 0.000 description 6
- 238000011010 flushing procedure Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 2
- 238000004062 sedimentation Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- 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
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/06—Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- Data Mining & Analysis (AREA)
- Computer Hardware Design (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- General Health & Medical Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Economics (AREA)
- Structural Engineering (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Civil Engineering (AREA)
- Evolutionary Biology (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Algebra (AREA)
- Architecture (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Bridges Or Land Bridges (AREA)
Abstract
Description
技术领域technical field
本发明涉及桥梁基础冲刷深度监测装置领域。更具体地说,本发明涉及一种通用型桥梁基础局部冲刷深度评估系统。The invention relates to the field of bridge foundation scouring depth monitoring devices. More specifically, the present invention relates to a general-purpose bridge foundation local scour depth assessment system.
背景技术Background technique
桥梁局部冲刷是大多桥梁水毁的原因,且发生后修复困难,因此评估和预防桥梁水毁的发生具有重要意义。现阶段,通过监测桥梁局部冲刷变化,建立预测模型对桥梁基础健康安全进行预测、预警,形成桥梁基础局部冲刷评估系统,是桥梁基础健康安全评估的发展趋势。现有技术中针对桥梁基础外围的局部冲刷监测技术有声呐技术和多波束的方法,监测方法分为固定仪器监测和便携式仪器监测。但目前这些方法得到的是较长时间间隔或不定期的监测,不仅需要人力水下辅助测量,并且预测结果不够精确。Local scouring of bridges is the cause of most bridge water damage, and it is difficult to repair after the occurrence. Therefore, it is of great significance to evaluate and prevent the occurrence of bridge water damage. At this stage, by monitoring the local scour changes of bridges, establishing a prediction model to predict and warn the bridge foundation health and safety, and form a bridge foundation local scour assessment system, it is the development trend of bridge foundation health and safety assessment. In the prior art, there are sonar technology and multi-beam methods for local scour monitoring technologies on the periphery of bridge foundations, and the monitoring methods are divided into fixed instrument monitoring and portable instrument monitoring. However, at present, these methods obtain long time interval or irregular monitoring, which not only requires human underwater auxiliary measurement, but also the prediction results are not accurate enough.
发明内容SUMMARY OF THE INVENTION
本发明的一个目的是解决至少上述问题,并提供至少后面将说明的优点。An object of the present invention is to solve at least the above-mentioned problems and to provide at least the advantages which will be explained later.
为了实现根据本发明的这些目的和其它优点,提供了一种通用型桥梁基础局部冲刷深度评估系统,包括:In order to achieve these objects and other advantages according to the present invention, a general-purpose bridge foundation local scour depth assessment system is provided, comprising:
数据采集系统,其用于采集监测点的水深、水位及流速;A data acquisition system, which is used to collect the water depth, water level and flow velocity of the monitoring point;
数据处理系统,其包括数据存储模块和数据分析模块;所述数据存储模块与所述数据采集系统连接,用以存储所述数据采集系统采集的监测点数据以及桥梁基础前期冲刷数据;所述数据分析模块从所述数据存储模块获取数据,计算监测点冲刷深度值,并分别通过数值模拟计算和遗传算法拟合计算得到数值模拟预测冲刷深度值和拟合预测冲刷深度值;a data processing system, which includes a data storage module and a data analysis module; the data storage module is connected to the data acquisition system to store the monitoring point data collected by the data acquisition system and the early scour data of the bridge foundation; the data The analysis module obtains data from the data storage module, calculates the scour depth value of the monitoring point, and obtains the numerical simulation predicted scour depth value and the fitting predicted scour depth value through numerical simulation calculation and genetic algorithm fitting calculation respectively;
预警发布系统,其包括数据评估模块和预警信息推送模块,所述数据评估模块从所述数据分析模块得到监测点冲刷深度值、数值模拟预测冲刷深度值和拟合预测冲刷深度值,并取其中最大值用以评估桥梁基础健康预警级别;所述预警信息推送模块根据预警级别发布预警信息。An early warning release system, which includes a data evaluation module and an early warning information push module, the data evaluation module obtains the monitoring point scour depth value, the numerical simulation predicted scour depth value and the fitting predicted scour depth value from the data analysis module, and takes one of the The maximum value is used to evaluate the basic health early warning level of the bridge; the early warning information push module issues early warning information according to the early warning level.
优选的是,所述数据采集系统包括数据采集装置和数据传输装置;所述数据采集装置设置在桥墩两侧,所述数据传输装置包括网络调节器,所述网络调节器接收所述数据采集装置采集的数据并传输给所述数据存储模块。Preferably, the data acquisition system includes a data acquisition device and a data transmission device; the data acquisition device is arranged on both sides of the bridge pier, the data transmission device includes a network regulator, and the network regulator receives the data acquisition device The collected data is transmitted to the data storage module.
优选的是,所述数据采集装置包括渗压计、水位计和流速仪,所述渗压计、所述水位计和所述流速仪均通过可伸缩的钢丝绳下放至水中,其中下放所述渗压计的钢丝绳上设置有测斜仪,所述渗压计的底部连接有配重。Preferably, the data acquisition device includes a osmometer, a water level meter and a flow meter, and the osmometer, the water level meter and the flow meter are all lowered into the water through a retractable wire rope, wherein the seepage meter is lowered into the water. An inclinometer is arranged on the wire rope of the pressure gauge, and a counterweight is connected to the bottom of the pressure gauge.
优选的是,所述监测点冲刷深度值hj按下式进行计算:Preferably, the scour depth value h j of the monitoring point is calculated as follows:
hj=hs-hc-h′h j =h s -h c -h'
式中:hs为渗压计测得的水深,hc为渗压计初始埋置高程,h′为水位计测得的潮位高程。where h s is the water depth measured by the piezometer, h c is the initial buried elevation of the piezometer, and h′ is the tidal elevation measured by the water level gauge.
优选的是,所述桥梁基础前期冲刷数据包括采用有限差分法在不同水位和流速条件下数值模拟计算得到的前期冲刷形态图、冲刷深度和冲刷范围。Preferably, the early-stage scour data of the bridge foundation includes the early-stage scour shape map, scour depth and scour range obtained by numerical simulation under different water level and flow velocity conditions by using the finite difference method.
优选的是,所述数据分析模块根据所述数据采集系统采集得到的水位和流速,采用插值法对前期冲刷形态数据进行处理,得到对应条件下的冲刷形态图,并提取所述冲刷形态图中的高程最低值,将高程最低值所在点的原河床高程与高程最低值之间的差值作为数值模拟预测冲刷深度值。Preferably, according to the water level and flow velocity collected by the data acquisition system, the data analysis module uses an interpolation method to process the scour shape data in the early stage, obtains a scour shape map under corresponding conditions, and extracts the scour shape map The difference between the original river bed elevation and the lowest elevation value at the point where the lowest elevation value is located is used as the numerical simulation to predict the scour depth value.
优选的是,采用插值法对前期冲刷形态数据进行处理具体为:采用最小二乘法对前期冲刷形态图数据、水位和流速进行拟合,形成一个关于冲刷形态图数据、水位和流速的函数;当所述数据采集系统采集得到当下的水位和流速,则代入到所述函数中,得到当下水位、流速下的冲刷深度和冲刷形态图。Preferably, the interpolation method is used to process the scour shape data in the early stage. Specifically, the least squares method is used to fit the scour shape map data, the water level and the flow velocity in the early stage to form a function about the scour shape map data, the water level and the flow speed; when The data acquisition system collects the current water level and flow velocity, and then substitutes it into the function to obtain the flushing depth and flushing shape diagram under the current water level and flow velocity.
优选的是,所述数据分析模块按下式进行遗传算法拟合计算,且所述数据采集系统每进行一次数据采集,所述数据分析模块均按下式重新迭代拟合一次:Preferably, the data analysis module performs genetic algorithm fitting calculation according to the following formula, and each time the data acquisition system performs data collection, the data analysis module is iteratively fitted once again according to the following formula:
式中:hb为拟合预测冲刷深度值,v为流速仪测得的流速,v′0为泥沙起动流速,B为桥墩基础阻水宽度,H为水位计测得的水位,d为泥沙中值粒径,g为重力加速度,k1、k2、k3为系数。In the formula: h b is the fitted predicted scour depth value, v is the flow velocity measured by the flow meter, v′ 0 is the initial flow velocity of sediment, B is the water blocking width of the foundation of the bridge pier, H is the water level measured by the water level meter, and d is The median particle size of sediment, g is the acceleration of gravity, and k 1 , k 2 , and k 3 are coefficients.
优选的是,所述数据评估模块将监测点冲刷深度值、数值模拟预测冲刷深度值和拟合预测冲刷深度值中的最大值与预设的警戒阈值进行对比,当所述最大值大于警戒阀值时,按所述最大值占警戒阀值的比例分多级进行桥梁基础健康预警。Preferably, the data evaluation module compares the maximum value among 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, and when the maximum value is greater than the warning valve When the value is set, the bridge foundation health warning will be carried out in multiple levels according to the ratio of the maximum value to the warning threshold.
优选的是,所述预警发布系统还包括专家诊断模块,所述专家诊断模块用以对数据评估模块的评估结果进行确认,并向所述预警信息推送模块发送指令。Preferably, the early warning release system further includes an expert diagnosis module, which is used to confirm the evaluation result of the data evaluation module and send an instruction to the early warning information push module.
本发明至少包括以下有益效果:The present invention includes at least the following beneficial effects:
1、本发明提供的通用型桥梁基础局部冲刷深度评估系统,通过数据采集系统采集监测点的实时水深、水位和流速,并通过数据处理系统计算监测点冲刷深度值、数值模拟预测冲刷深度值和拟合预测冲刷深度值,预警发布系统根据监测点冲刷深度值、数值模拟预测冲刷深度值和拟合预测冲刷深度值之间的最大值来评估桥梁基础健康预警级别,并发出预警信息。通过实时测量数据以及桥梁基础前期冲刷数据对桥梁基础冲刷形态进行预测,以快速监测桥梁基础冲刷深度及分布范围,对桥梁基础健康状况进行精确评估,从而保护桥梁基础安全。1. The general-purpose bridge foundation local scour depth evaluation system provided by the present invention collects the real-time water depth, water level and flow velocity of the monitoring point through the data acquisition system, and calculates the scour depth value of the monitoring point, numerical simulation prediction scour depth value and Fitting the predicted scour depth value, the early warning release system evaluates the bridge foundation health warning level according to the maximum value between the monitoring point scour depth value, the numerical simulation predicted scour depth value and the fitted predicted scour depth value, and issues early warning information. Through real-time measurement data and bridge foundation scour data in the early stage, the bridge foundation scour form is predicted to quickly monitor the bridge foundation scour depth and distribution range, and accurately evaluate the bridge foundation health status, thereby protecting the bridge foundation safety.
2、本发明提供的通用型桥梁基础局部冲刷深度评估系统中渗压计、水位计和流速仪均通过可伸缩的钢丝绳下放至水中,以取代人力水下辅助测量,并且通过可伸缩钢丝绳可便于在每次测量完成后将渗压计回收至水面以上或回收至工作台面,以防止渗压计因泥沙回淤而埋置于床底。2. The osmometer, water level gauge and flow meter in the universal bridge foundation local scour depth assessment system provided by the present invention are all lowered into the water through a retractable wire rope to replace the manual underwater auxiliary measurement, and the retractable wire rope can facilitate After each measurement is completed, the piezometer is recovered above the water surface or to the work surface to prevent the piezometer from being buried at the bottom of the bed due to sedimentation.
本发明的其它优点、目标和特征将部分通过下面的说明体现,部分还将通过对本发明的研究和实践而为本领域的技术人员所理解。Other advantages, objects, and features of the present invention will appear in part from the description that follows, and in part will be appreciated by those skilled in the art from the study and practice of the invention.
附图说明Description of drawings
图1为本发明中所述桥梁基础局部冲刷深度评估系统的系统结构图;Fig. 1 is the system structure diagram of the bridge foundation local scour depth assessment system described in the present invention;
图2为本发明中所述冲刷形态图的示意图。FIG. 2 is a schematic diagram of the scour shape diagram described in the present invention.
具体实施方式Detailed ways
下面结合附图对本发明做进一步的详细说明,以令本领域技术人员参照说明书文字能够据以实施。The present invention will be further described in detail below with reference to the accompanying drawings, so that those skilled in the art can implement it with reference to the description.
需要说明的是,下述实施方案中所述实验方法,如无特殊说明,均为常规方法,所述试剂和材料,如无特殊说明,均可从商业途径获得;在本发明的描述中,术语“横向”、“纵向”、“上”、“下”、“前”、“后”、“左”、“右”、“竖直”、“水平”、“顶”、“底”、“内”、“外”等指示的方位或位置关系为基于附图所示的方位或位置关系,仅是为了便于描述本发明和简化描述,并不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作,因此不能理解为对本发明的限制。It should be noted that the experimental methods described in the following embodiments are conventional methods unless otherwise specified, and the reagents and materials can be obtained from commercial sources unless otherwise specified; in the description of the present invention, The terms "landscape", "portrait", "top", "bottom", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", The orientation or positional relationship indicated by "inside" and "outside" is based on the orientation or positional relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the indicated device or element must have The particular orientation, construction and operation in the particular orientation are therefore not to be construed as limitations of the invention.
如图1所示,本发明提供一种通用型桥梁基础局部冲刷深度评估系统,包括:As shown in Figure 1, the present invention provides a general-purpose bridge foundation local scour depth assessment system, including:
数据采集系统,其用于采集监测点的水深、水位及流速;A data acquisition system, which is used to collect the water depth, water level and flow velocity of the monitoring point;
数据处理系统,其包括数据存储模块、数据预处理模块和数据分析模块;所述数据存储模块与所述数据采集系统连接,用以存储所述数据采集系统采集的监测点数据以及桥梁基础前期冲刷数据;所述数据分析模块从所述数据存储模块获取数据,计算监测点冲刷深度值,并分别通过数值模拟计算和遗传算法拟合计算得到数值模拟预测冲刷深度值和拟合预测冲刷深度值;A data processing system, which includes a data storage module, a data preprocessing module and a data analysis module; the data storage module is connected with the data acquisition system to store the monitoring point data collected by the data acquisition system and the early scour of the bridge foundation data; the data analysis module obtains data from the data storage module, calculates the scour depth value of the monitoring point, and obtains the numerical simulation predicted scour depth value and the fitting predicted scour depth value through numerical simulation calculation and genetic algorithm fitting calculation respectively;
预警发布系统,其包括数据评估模块和预警信息推送模块,所述数据评估模块从所述数据分析模块得到监测点冲刷深度值、数值模拟预测冲刷深度值和拟合预测冲刷深度值,并取其中最大值用以评估桥梁基础健康预警级别;所述预警信息推送模块根据预警级别发布预警信息。An early warning release system, which includes a data evaluation module and an early warning information push module, the data evaluation module obtains the monitoring point scour depth value, the numerical simulation predicted scour depth value and the fitting predicted scour depth value from the data analysis module, and takes one of the The maximum value is used to evaluate the basic health early warning level of the bridge; the early warning information push module issues early warning information according to the early warning level.
在上述技术方案中,所述数据采集系统采用监测设备在桥梁基础上的监测点采集水深、水位和流速数据,进一步地,所述数据采集系统包括数据采集装置和数据传输装置;所述数据采集装置设置在桥墩两侧,包括渗压计、水位计和流速仪,所述渗压计用以测量水深,所述水位计用以测量潮位或水位,所述流速仪用以测量监测点的流速。所述渗压计、所述水位计和所述流速仪均通过可伸缩的钢丝绳下放至水中,以取代人力水下辅助测量。其中为了防止钢丝绳被水流的扰动而倾斜,下放所述渗压计的钢丝绳上设置有测斜仪以监测其倾斜角度,并且所述渗压计的底部连接有配重。为了防止所述渗压计因泥沙回淤而埋置于床底,每次测量完后,通过可伸缩的钢丝绳将所述渗压计回收至水面以上或回收至工作台面,待下一次监测再下放至河/海床。所述数据传输装置包括网络调节器,所述网络调节器采用无线以太网接收所述数据采集装置采集的数据并传输给所述数据存储模块。较优地,所述数据存储模块中还存储有桥梁基础结构信息、所述数据采集装置的位置和设备基本新型。In the above technical solution, the data acquisition system uses monitoring equipment to collect water depth, water level and flow velocity data at monitoring points on the basis of the bridge. Further, the data acquisition system includes a data acquisition device and a data transmission device; the data acquisition The device is arranged on both sides of the bridge pier, including a osmometer, a water level meter and a flow meter. The osmometer is used to measure the water depth, the water level meter is used to measure the tide level or the water level, and the flow meter is used to measure the flow rate of the monitoring point. . The osmometer, the water level gauge and the flow meter are all lowered into the water through a retractable wire rope to replace the manual underwater auxiliary measurement. In order to prevent the wire rope from being inclined by the disturbance of the water flow, an inclinometer is provided on the wire rope where the piezometer is lowered to monitor its inclination angle, and a counterweight is connected to the bottom of the piezometer. In order to prevent the piezometer from being buried at the bottom of the bed due to sedimentation, after each measurement, the piezometer is recovered to above the water surface or to the work surface through a retractable wire rope, and is to be monitored for the next time. Then lower down to the river/seabed. The data transmission device includes a network regulator, and the network regulator adopts wireless Ethernet to receive the data collected by the data acquisition device and transmit it to the data storage module. Preferably, the data storage module also stores bridge infrastructure information, the location of the data acquisition device and the basic new type of equipment.
所述桥梁基础前期冲刷数据包括采用有限差分法在不同水位和流速条件下数值模拟计算得到的前期冲刷形态图、冲刷深度和冲刷范围,即对前期的水文数据中,在水位和流速在正常值范围内的数据,采用有限差分法对桥墩附近的冲刷情况按不同水位和流速条件进行数值模拟计算,得到在同一个水位不同流速的边界条件下以及在同一个流速不同水位的边界条件下的冲刷形态图、冲刷深度和冲刷范围。所述冲刷形态图指的是河床因水流冲刷后的地形图,包括平面位置坐标和河床标高,一般采用等高线图展示,如图2所示。The early-stage scour data of the bridge foundation includes the early-stage scour shape map, scour depth and scour range obtained by numerical simulation under different water level and flow velocity conditions by using the finite difference method, that is, in the previous hydrological data, the water level and flow rate are at normal values. Based on the data within the range, the finite difference method is used to numerically simulate the scouring conditions near the bridge pier according to different water levels and flow velocity conditions. Morphology, scour depth and scour range. The scour shape map refers to the topographic map of the river bed after being scoured by water flow, including the plane position coordinates and the elevation of the river bed, and is generally displayed by a contour map, as shown in Figure 2.
所述数据分析模块从所述数据存储模块获取监测点数据以及桥梁基础前期冲刷数据,较优地,所述数据分析模块还包括将明显超出水位、流速或者冲刷深度的正常值区域的异常数据进行剔除。The data analysis module obtains the monitoring point data and the early scour data of the bridge foundation from the data storage module. Preferably, the data analysis module further includes performing analysis on abnormal data significantly exceeding the normal value area of the water level, flow velocity or scour depth. cull.
所述数据分析模块中所述监测点冲刷深度值hj按下式进行计算:The scour depth value h j of the monitoring point in the data analysis module is calculated as follows:
hj=hs-hc-h′ (1)h j =h s -h c -h' (1)
式(1)中:hs为渗压计测得的水深,hc为渗压计初始埋置高程,h′为水位计测得的潮位高程。In formula (1): h s is the water depth measured by the piezometer, h c is the initial buried elevation of the piezometer, and h′ is the tidal elevation measured by the water level gauge.
所述数据分析模块根据所述数据采集系统采集得到的水位和流速,采用插值法对前期冲刷形态数据进行处理,得到对应条件下的冲刷形态图,并提取所述冲刷形态图中的高程最低值,将高程最低值所在点的原河床高程与高程最低值之间的差值作为数值模拟预测冲刷深度值。即所述冲刷形态图中的高程最低值对应的点为最大冲刷深度点,如图2中所示的G点。上述过程中,采用插值法对前期冲刷形态数据进行处理具体为:采用最小二乘法对前期冲刷形态图数据、水位和流速进行拟合,形成一个关于冲刷形态图数据、水位和流速的函数;当所述数据采集系统采集得到当下的水位和流速,则代入到所述函数中,得到当下水位、流速下的冲刷深度和冲刷形态图。According to the water level and flow velocity collected by the data acquisition system, the data analysis module uses interpolation to process the scour shape data in the early stage, obtains a scour shape map under corresponding conditions, and extracts the minimum elevation value in the scour shape map. , and the difference between the original riverbed elevation at the point where the elevation minimum is located and the minimum elevation value is used as the numerical simulation to predict the scour depth value. That is, the point corresponding to the lowest elevation value in the scour pattern map is the maximum scour depth point, such as point G shown in FIG. 2 . In the above process, the interpolation method is used to process the data of the scour shape in the early stage. Specifically, the least squares method is used to fit the data of the scour shape map, the water level and the flow velocity in the early stage to form a function about the data of the scour shape map, the water level and the flow rate; The data acquisition system collects the current water level and flow velocity, and then substitutes it into the function to obtain the flushing depth and flushing shape diagram under the current water level and flow velocity.
所述数据分析模块按下式进行遗传算法拟合计算得到拟合预测冲刷深度值,The data analysis module performs the genetic algorithm fitting calculation as follows to obtain the fitted predicted scour depth value,
式(2)中:hb为拟合预测冲刷深度值,v为流速仪测得的流速,v′0为泥沙起动流速,B为桥墩基础阻水宽度,H为水位计测得的水位,d为泥沙中值粒径,g为重力加速度,k1、k2、k3为系数。In formula (2): h b is the fitted predicted scour depth value, v is the flow velocity measured by the flow meter, v′ 0 is the initial flow velocity of sediment, B is the water blocking width of the pier foundation, and H is the water level measured by the water level meter , d is the median particle size of sediment, g is the acceleration of gravity, and k 1 , k 2 , and k 3 are coefficients.
所述数据采集系统每进行一次数据采集,所述数据分析模块均按式(2)重新迭代拟合一次,得到更新的k1、k2、k3系数,从而得到更精确的拟合预测冲刷深度值。Each time the data acquisition system performs data acquisition, the data analysis module re-fits iteratively once according to formula (2) to obtain updated k 1 , k 2 , and k 3 coefficients, so as to obtain a more accurate fitting prediction flush depth value.
所述数据评估模块将所述数据分析模块处理得到监测点冲刷深度值、数值模拟预测冲刷深度值和拟合预测冲刷深度值中的最大值与预设的警戒阈值进行对比,当所述最大值大于警戒阀值时,按所述最大值占警戒阀值的比例分多级进行桥梁基础健康预警。The data evaluation module compares the maximum value among 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 the preset warning threshold, and when the maximum value is When it is greater than the warning threshold, the bridge foundation health warning will be carried out in multiple levels according to the ratio of the maximum value to the warning threshold.
较优地,可将预警级别分为三级:当所述最大值大于警戒阈值,为一级预警;当所述最大值占警戒阈值的70%,为二级预警;当所述最大值占警戒阈值的30%,为三级预警。Preferably, the warning levels can be divided into three levels: when the maximum value is greater than the warning threshold, it is a first-level warning; when the maximum value accounts for 70% of the warning threshold, it is a second-level warning; when the maximum value accounts for 70% of the warning threshold, it is a second-level warning; 30% of the alert threshold is a three-level warning.
所述预警发布系统还包括专家诊断模块,所述专家诊断模块用以对数据评估模块的评估结果进行确认,并向所述预警信息推送模块发送指令。所述专家诊断模块是专家对冲刷深度数据、评估结论以及预警分级是否准确进行判断。所述预警信息推送模块可采用多种形式发布预警信息,如系统界面信息推送、预警声音提示或者短信推送等,在此不做限定。The early warning release system further includes an expert diagnosis module, which is used to confirm the evaluation result of the data evaluation module and send an instruction to the early warning information push module. The expert diagnosis module is for experts to judge whether the scour depth data, the evaluation conclusion and the early warning classification are accurate. The early warning information push module can use various forms to publish the early warning information, such as system interface information push, early warning sound prompt or short message push, etc., which are not limited here.
考虑到人机交互的友好性,所述通用型桥梁基础局部冲刷深度评估系统还可包括操作界面和展示界面。Considering the friendliness of human-computer interaction, the general-purpose bridge foundation local scour depth assessment system may further include an operation interface and a display interface.
尽管本发明的实施方案已公开如上,但其并不仅仅限于说明书和实施方式中所列运用,它完全可以被适用于各种适合本发明的领域,对于熟悉本领域的人员而言,可容易地实现另外的修改,因此在不背离权利要求及等同范围所限定的一般概念下,本发明并不限于特定的细节和这里示出与描述的图例。Although the embodiment of the present invention has been disclosed as above, it is not limited to the application listed in the description and the embodiment, and it can be applied to various fields suitable for the present invention. For those skilled in the art, it can be easily Therefore, the invention is not limited to the specific details and illustrations shown and described herein without departing from the general concept defined by the appended claims and the scope of equivalents.
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210181003.4A CN114662358A (en) | 2022-02-25 | 2022-02-25 | General type bridge foundation local scouring depth evaluation system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210181003.4A CN114662358A (en) | 2022-02-25 | 2022-02-25 | General type bridge foundation local scouring depth evaluation system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN114662358A true CN114662358A (en) | 2022-06-24 |
Family
ID=82027287
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210181003.4A Pending CN114662358A (en) | 2022-02-25 | 2022-02-25 | General type bridge foundation local scouring depth evaluation system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114662358A (en) |
Cited By (3)
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 |
CN116861821A (en) * | 2023-09-04 | 2023-10-10 | 东莞理工学院 | A rapid prediction method for the maximum scour depth of bridge foundations based on artificial intelligence |
CN118089822A (en) * | 2024-04-23 | 2024-05-28 | 东莞理工学院 | An intelligent monitoring system and method for bridge foundation scour |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6504478B1 (en) * | 2001-11-27 | 2003-01-07 | J. Y. Richard Yen | Earth stratum flush monitoring method and a system thereof |
CN102864756A (en) * | 2012-09-10 | 2013-01-09 | 重庆交通大学 | Measuring and controlling method of maximal scouring depth of bridge abutment |
CN110715632A (en) * | 2019-12-06 | 2020-01-21 | 浙江省水利河口研究院 | Special terminal for prediction and early warning of local scour depth of bay piers in strong tide estuaries |
CN111561974A (en) * | 2020-06-29 | 2020-08-21 | 浙江工业大学 | Bridge scouring multi-source monitoring system and monitoring method and punching depth evaluation method thereof |
-
2022
- 2022-02-25 CN CN202210181003.4A patent/CN114662358A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6504478B1 (en) * | 2001-11-27 | 2003-01-07 | J. Y. Richard Yen | Earth stratum flush monitoring method and a system thereof |
CN102864756A (en) * | 2012-09-10 | 2013-01-09 | 重庆交通大学 | Measuring and controlling method of maximal scouring depth of bridge abutment |
CN110715632A (en) * | 2019-12-06 | 2020-01-21 | 浙江省水利河口研究院 | Special terminal for prediction and early warning of local scour depth of bay piers in strong tide estuaries |
CN111561974A (en) * | 2020-06-29 | 2020-08-21 | 浙江工业大学 | Bridge scouring multi-source monitoring system and monitoring method and punching depth evaluation method thereof |
Non-Patent Citations (2)
Title |
---|
张胡等: "典型桥墩局部冲刷及防护特性数据模拟研究", 水利水电快报, vol. 39, no. 4, 30 April 2018 (2018-04-30), pages 45 - 47 * |
郭佳欣等: "桥墩冲刷及其防护技术的研究综述", 海洋湖沼通报, 31 August 2021 (2021-08-31), pages 84 - 92 * |
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 | A rapid prediction method for the maximum scour depth of bridge foundations 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 | An intelligent monitoring system and method for bridge foundation scour |
CN118089822B (en) * | 2024-04-23 | 2024-07-12 | 东莞理工学院 | Intelligent monitoring system and method for bridge foundation scouring |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN114662358A (en) | General type bridge foundation local scouring depth evaluation system | |
JP5148589B2 (en) | A method for evaluating the safety of bridge structures by vibration measurements. | |
CN116757097A (en) | A digital twin water conservancy project operation and maintenance monitoring system and method | |
CN101533035A (en) | Method for observing estuary seacoast near-bottom water and sediment under high turbidity environment | |
CN108613645B (en) | A Method for Measuring Silt Thickness of Suction Well in Lead-Zinc Mine Based on Parameter Estimation | |
CN115659614A (en) | Riverbed change simulation deduction method, device and equipment based on three-dimensional scene model | |
CN110059870A (en) | Waterway regulation building maintenance analysis method based on BIM and GIS | |
CN109612685A (en) | Integrated measuring device and method for flow rate and depth for water tank testing | |
CN109271662A (en) | A kind of bridge pile foundation health state evaluation method based on Real-time Monitoring Data processing | |
CN105714842B (en) | Well sinking method for early warning and system | |
CN116579214A (en) | Digital twinning-based three-dimensional visual bridge pier monitoring system and method | |
CN115391904A (en) | River bank collapse early warning method and system | |
CN106546211A (en) | A kind of grab boat grab bucket attitude measurement system | |
CN117953665A (en) | Geological disaster monitoring and early warning system and early warning method thereof | |
CN115909664A (en) | BIM-based river channel safety early warning method, device and equipment | |
CN110715632B (en) | Special terminal for prediction and early warning of local scour depth of bay piers in strong tide estuaries | |
CN118816995B (en) | Coastal sand hill migration monitoring and early warning method | |
CN106918812A (en) | Underwater foundation detection means and method based on supersonic sounding and Three Dimensional Reconfiguration | |
CN112837022A (en) | GIS-based Urban Water Supply and Drainage Pipe Network Transformation System and Method | |
CN112907903B (en) | Debris flow early warning method combining mud level monitoring and refined terrain measurement | |
CN115017822A (en) | Offshore wind power pile foundation and submarine cable integrated monitoring method | |
CN118363308B (en) | Pipe jacking hoisting control system and control method based on hydrologic digital twinning | |
CN117367382B (en) | H-ADCP-based online suspended load sediment measurement method | |
TW201307811A (en) | Auto-measuring system for measuring a plurality of data of a river | |
CN117589237B (en) | Underground pipeline deformation fracture detection method and system based on channel dredging engineering |
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 |