PVC guardrail anti-collision performance detection system and method

Abstract

The invention relates to the technical field of PVC guardrail anti-collision performance detection, and provides a PVC guardrail anti-collision performance detection system and a PVC guardrail anti-collision performance detection method. In data acquisition, multiple types of high-precision equipment cooperate to realize comprehensive and accurate acquisition, transmission and preprocessing links of data such as strain, impact force, deformation displacement and the like, CRC (Cyclic Redundancy Check) guarantees that data transmission is correct, mean filtering is used for removing noise, and the anti-collision performance of a PVC guardrail is detected. The control module can accurately regulate and control impact parameters, and can intelligently verify and analyze data, deeply mine data values through multi-algorithm fusion, evaluate the anti-collision performance according to comprehensive indexes such as energy absorption capacity and the like, improve the accuracy, efficiency and reliability of detection, synchronously collect data through multiple devices, guarantee data quality through real-time monitoring and primary processing, and improve the reliability of data analysis. Data are deeply analyzed by applying multiple advanced algorithms, more key information is mined, comprehensive indexes such as energy absorption capacity are compared with standards during evaluation, judgment is more scientific and reasonable, and detection precision and efficiency are improved.

Description

Technical Field

[0001] The invention relates to the technical field of anti-collision performance detection of PVC guardrails, and in particular to a system and method for detecting the anti-collision performance of PVC guardrails. Background Art

[0002] In the field of modern transportation and construction, PVC guardrails are widely used in road isolation, community protection and other scenarios due to their low cost, corrosion resistance and easy installation. Their anti-collision performance is directly related to the safety of life and property. However, the existing PVC guardrail anti-collision performance detection technology has many drawbacks.

[0003] Existing detection systems mostly rely on simple equipment start-stop control. It is difficult for inspectors to flexibly adjust key parameters such as the speed, quality and angle of the impact simulation device according to actual needs, which limits the detection scene and makes it impossible to accurately simulate complex and diverse actual impact situations. In terms of data processing, existing technologies lack real-time and effective analysis and storage capabilities. The large amount of strain, impact force, deformation displacement and other data generated during the detection cannot be analyzed in a timely and in-depth manner, and there is no reliable storage architecture to ensure data security and traceability. This not only leads to low detection efficiency, but also is not conducive to subsequent in-depth research and comparison of test results. It is difficult to summarize rules from a large amount of historical data and provide a strong basis for the optimal design of guardrails.

[0004] Therefore, it is urgent to invent a PVC guardrail anti-collision performance detection system and method, which can simulate richer actual scenarios and analyze the detection data in real time through powerful data processing and storage functions, so as to comprehensively and accurately evaluate the anti-collision performance of PVC guardrails, and provide solid technical support for improving the quality of guardrails and ensuring public safety. Summary of the invention

[0005] Technical issues solved

[0006] In view of the deficiencies in the prior art, the present invention provides a system and method for detecting the anti-collision performance of a PVC guardrail.

[0007] Technical Solution

[0008] In order to achieve the above-mentioned solution, the present invention provides the following technical solutions: a PVC guardrail anti-collision performance detection system, comprising the following modules:

[0009] S1, data acquisition module: This module is mainly responsible for collecting data and converting physical quantities into measurable and analyzable electrical signals and image information through different sensors and devices;

[0010] S2, data transmission and preprocessing module: CRC check is used to ensure the accuracy of data transmission, and mean filtering algorithm is used to preprocess the collected data to remove noise interference;

[0011] S3, control and parameter setting module: with the help of hydraulic and servo control systems, the speed, mass and angle of the impact simulation device are precisely controlled according to physical formulas;

[0012] S4, Data Analysis and Evaluation Module: In-depth analysis of the collected data, including stress analysis of strain data, peak and impulse analysis of impact force data, and analysis of deformation and displacement data.

[0013] Strain data analysis formula: ,

[0014] In the formula, : stress vector within the element, : elasticity matrix, : geometry matrix, : node displacement vector,

[0015] Impact force data analysis formula:

[0016] Peak detection: Determine the peak value of the impact force by comparing the magnitudes of adjacent data points , that is, when and hour, It may be a peak value.

[0017] Impulse calculation:

[0018] In the formula, : Peak value of impact force, : impulse of the impact force, : In the The impact force value at each sampling moment is discrete impact force measurement data. : sampling time interval, : The total number of sampling points of impact force data,

[0019] Deformation and displacement data analysis formula:

[0020] In the formula, : Output of the CNN model, : weight matrix, : The feature vector obtained after convolution, pooling and other operations of the CNN model, : image data input to the CNN model, : bias vector,

[0021] Anti-collision performance evaluation formula:

[0022] In the formula, : The energy absorption capacity of the guardrail, : Displacement of guardrail, : The maximum displacement of the guardrail during the impact, : Corresponding displacement The impact force when

[0023] S5, data storage and report generation module: uses relational database and distributed file system to store data, and automatically generates test reports through template engine.

[0024] Preferably, the key data collected by the data collection module include strain data, impact force data, and deformation and displacement data.

[0025] Preferably, the strain data collection formula is:

[0026] In the formula, : Output voltage of the Wheatstone bridge, : Input voltage of the Wheatstone bridge, : resistance change rate of the strain gauge, : Sensitivity coefficient of strain gauge, :Strain is a physical quantity that describes the degree of deformation of an object under force.

[0027] Preferably, the impact force data collection formula is:

[0028] In the formula, : The voltage output by the pressure sensor, : Sensitivity coefficient of pressure sensor, : Impact force, i.e. the force applied when the impact simulation device hits the PVC guardrail, : Offset of the pressure sensor.

[0029] Preferably, the deformation and displacement data acquisition formula is:

[0030] In a two-dimensional plane, for feature points:

[0031] In the formula, : The horizontal displacement of the feature point, : The horizontal coordinate of the feature point at the initial moment, : The horizontal coordinate of the feature point at a certain moment, : The displacement of the feature point in the vertical direction, : The vertical coordinate of the feature point at the initial moment, : The vertical coordinate of the feature point at a certain moment.

[0032] Preferably, the control formula of the impact simulation device of the hydraulic system part is:

[0033] In the formula, : Pressure in the hydraulic system, : Density of hydraulic oil, : acceleration due to gravity, : Height of hydraulic oil column, : Flow rate of hydraulic oil in the pipeline;

[0034] The control formula of the impact simulation device of the servo system is:

[0035] In the formula, : The impact angle of the impact head, : Transmission ratio coefficient, : The rotation angle of the motor,

[0036] Parameter setting formula (parameter range limit):

[0037] For the impact speed : ,

[0038] For the impact mass : ,

[0039] For the impact angle : ,

[0040] In the formula, : impact velocity of the impact simulation device, : The minimum impact speed allowed to be set, : The maximum impact speed allowed to be set, : impact mass of the impact simulation device, : The minimum impact mass allowed to be set, : The maximum impact mass allowed to be set, : impact angle of the impact simulation device, : The minimum impact angle allowed to be set, : The maximum impact angle allowed.

[0041] A detection method for a PVC guardrail anti-collision performance detection system comprises the following steps:

[0042] S1. Preliminary preparation: Install and debug strain gauges, pressure sensors, high-speed cameras and impact simulation devices, accurately set and verify impact parameters in the control system, and configure data storage and transmission settings;

[0043] S2. Implement the test: Start the process, the impact simulation device hits the guardrail according to the set parameters, during which the strain gauge, pressure sensor, and high-speed camera synchronously collect data and transmit it to the control system for real-time monitoring and preliminary processing;

[0044] S3. Data analysis: Use finite element analysis to obtain stress distribution and strain energy from strain data, analyze impact force data through peak detection and integration algorithm, and calculate guardrail deformation and displacement using CNN model;

[0045] S4. Performance evaluation: Calculate energy absorption and other indicators based on the analysis results, compare with the standards, and determine whether the guardrail's anti-collision performance is qualified;

[0046] S5. Report generation and storage: The system automatically generates a test report covering all key information, and stores the report and original data in categories and backs them up regularly.

[0047] Preferably, the data preprocessing formula is:

[0048] In the formula, :After mean filtering, The data output value at each moment, : The length of the mean filter window, : In the The original data collected at the moment, : Index variable used to traverse the data points in the mean filter window, from 0 to .

[0049] Beneficial Effects

[0050] Compared with the prior art, the present invention provides a PVC guardrail anti-collision performance detection system and method, which has the following beneficial effects:

[0051] 1. In terms of data collection, the PVC guardrail anti-collision performance detection system uses multiple types of high-precision equipment to achieve comprehensive and accurate collection of data such as strain, impact force, deformation displacement, etc. In the transmission and preprocessing stages, CRC verification ensures correct data transmission, and mean filtering removes noise. The control module can accurately control the impact parameters and can also perform intelligent verification. During data analysis, multiple algorithms are integrated to deeply explore the value of data, and the anti-collision performance is evaluated with comprehensive indicators such as energy absorption capacity, thereby improving the accuracy, efficiency and reliability of detection, and providing strong support for the anti-collision performance evaluation of PVC guardrails.

[0052] 2. The anti-collision performance testing method of PVC guardrail collects data synchronously with multiple devices, and ensures data quality through real-time monitoring and preliminary processing. In the data analysis stage, a variety of advanced algorithms are used to deeply analyze the data and dig out more key information. When evaluating, comprehensive indicators such as energy absorption capacity are compared with standards to make more scientific and reasonable judgments, thereby improving the accuracy and efficiency of detection, making the anti-collision performance evaluation of PVC guardrail more reliable and more valuable for reference, and promoting the high-quality development of the industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic diagram of the framework of the PVC guardrail anti-collision performance detection system of the present invention;

[0054] Figure 2 The figure is a schematic flow chart of the method for detecting the anti-collision performance of PVC guardrails of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] See also Figure 1-2 The present invention proposes a PVC guardrail anti-collision performance detection system and method, the contents of which are as follows:

[0057] 1. A PVC guardrail anti-collision performance detection system

[0058] S1. Data acquisition module

[0059] This module is mainly responsible for collecting various key data of PVC guardrails during the anti-collision performance test, including strain data, impact force data, deformation and displacement data. Through different sensors and devices, physical quantities are converted into electrical signals or image information that can be measured and analyzed.

[0060] Strain data collection formula:

[0061] In the formula, : The output voltage of the Wheatstone bridge is the voltage signal output by the strain gauge after it senses the strain of the guardrail. Its size depends on the change of the strain gauge resistance. The strain information can be indirectly obtained by measuring this voltage.

[0062] : The input voltage of the Wheatstone bridge provides the strain gauge with a stable voltage source required for operation, usually a fixed power supply voltage.

[0063] : The resistance change rate of the strain gauge reflects the relative change in the resistance of the strain gauge due to the guardrail strain and is a dimensionless quantity.

[0064] :The sensitivity coefficient of the strain gauge is an inherent property of the strain gauge. It represents the proportional relationship between strain and resistance change rate. Its value depends on the material and structure of the strain gauge. Different strain gauges have different sensitivity coefficients.

[0065] : Strain is a physical quantity that describes the degree of deformation of an object under force. It reflects the deformation of the PVC guardrail when it is hit and is a dimensionless ratio.

[0066] Impact force data collection formula:

[0067] In the formula, : The voltage output by the pressure sensor. This voltage signal is linearly related to the impact force. By measuring this voltage, the magnitude of the impact force can be inferred.

[0068] : The sensitivity coefficient of the pressure sensor is used to convert the impact force exerted on the pressure sensor into a voltage signal. Different pressure sensors have different sensitivity coefficients, depending on their internal structure and materials.

[0069] : The impact force, that is, the force applied when the impact simulation device hits the PVC guardrail, is the physical quantity that needs to be measured to evaluate the anti-collision performance of the guardrail.

[0070] : The offset of the pressure sensor is the output voltage of the pressure sensor when there is no impact force. It represents the zero bias error of the sensor and needs to be considered when measuring impact force.

[0071] Deformation and displacement data collection formula:

[0072] In a two-dimensional plane, for feature points:

[0073] In the formula, : The displacement of the feature point in the horizontal direction (x-axis direction), which reflects the position change of the guardrail in the horizontal direction caused by the impact.

[0074] : The horizontal coordinate of the feature point at the initial moment, which serves as the starting position for displacement calculation.

[0075] : The horizontal coordinate of the feature point at a certain moment is used to subtract from the horizontal coordinate at the initial moment to obtain the horizontal displacement.

[0076] : The displacement of the feature point in the vertical direction (y-axis direction), which reflects the position change of the guardrail in the vertical direction due to the impact.

[0077] : The vertical coordinate of the feature point at the initial moment, which serves as the starting position for displacement calculation.

[0078] : The vertical coordinate of the feature point at a certain moment, which is used to subtract the vertical coordinate at the initial moment to obtain the vertical displacement.

[0079] S2, data transmission and preprocessing module

[0080] This module mainly involves transmitting the collected data accurately and completely to the control system, and preprocessing the data to eliminate noise interference and improve data quality.

[0081] Data transmission formula (taking cyclic redundancy check CRC as an example):

[0082] First, the data block Shift Left Get , and then use Divide by the generator polynomial Get the remainder ,Will Attach to After transmission.

[0083] in, : The original data block contains various data collected from the sensor, such as strain data, impact force data, etc., and is the main body of data that needs to be transmitted.

[0084] : Generating polynomial The highest power determines the length of the CRC check code and is an important parameter to ensure the integrity of data transmission.

[0085] : For the original data block The result after the left shift operation is prepared for the subsequent CRC calculation.

[0086] : Generator polynomial is a specific polynomial expression used to calculate CRC checksum. Different systems may use different generator polynomials. It is an important basis for ensuring the correctness of data transmission.

[0087] : CRC checksum, by dividing $D'$ by The remainder obtained is appended to the data block After transmission, the receiving end uses the same By calculating the check code and comparing it with the received check code, it can be determined whether the data transmission is correct.

[0088] Data preprocessing formula:

[0089] In the formula, :After mean filtering, The data output value at each moment is the original data The result after filtering is used to remove noise interference and make the data smoother.

[0090] : The length of the mean filter window determines the number of data points involved in the average calculation. It can smooth the data better, but it will reduce the real-time performance of the data. You need to choose a suitable value based on the actual situation.

[0091] : In the The raw data collected at each moment is unprocessed data and may contain noise and interference.

[0092] : Index variable used to traverse the data points in the mean filter window, from 0 to , which represents the range of adjacent data points involved in calculating the mean value.

[0093] S3, control and parameter setting module

[0094] This module is responsible for controlling the operating parameters of the impact simulation device, such as impact speed, impact mass and impact angle, and also verifies and manages the input parameters to ensure the safety and accuracy of the detection process.

[0095] Impact simulation device control formula (hydraulic system part):

[0096] Formula description: This formula is simplified based on the Bernoulli equation and the flow continuity equation and is used to calculate the pressure in the hydraulic system. , by adjusting the pressure, the speed and force of the impact head can be controlled.

[0097] In the formula, :The pressure in the hydraulic system is the key parameter for controlling the movement of the impact head and directly affects the speed and force of the impact.

[0098] : The density of hydraulic oil is the physical property of hydraulic oil. Different hydraulic oils have different densities, which will affect the performance of the hydraulic system.

[0099] : Gravitational acceleration is a constant, approximately , used when calculating the pressure of hydraulic oil due to altitude.

[0100] :The height of the hydraulic oil column is related to factors such as the position of the pressure regulating valve of the hydraulic system and the liquid level of the hydraulic oil, which will affect the pressure of the hydraulic system.

[0101] :The flow rate of hydraulic oil in the pipeline is related to the movement speed of the impact head. The speed of the impact head can be controlled by adjusting the flow rate.

[0102] Impact simulation device control formula (servo system part):

[0103] In the formula, :The impact angle of the impact head determines the angle at which the impact simulation device hits the PVC guardrail. Different impact angles can simulate different collision scenarios.

[0104] : The transmission ratio coefficient is the proportional relationship between the motor rotation angle and the impact angle of the impact head in the servo system, which depends on the mechanical transmission structure of the servo system.

[0105] :The rotation angle of the motor is adjusted by the control system through the transmission ratio coefficient Affects the impact angle of the impact head.

[0106] Parameter setting formula (parameter range limit):

[0107] For the impact speed :

[0108] For the impact mass :

[0109] For the impact angle :

[0110] In the formula, :The impact speed of the impact simulation device is an important detection parameter, which can be set according to different detection requirements to simulate the impact conditions at different speeds.

[0111] : The minimum impact speed allowed to be set to ensure that the impact simulation device does not impact at too low a speed, thus ensuring the effectiveness of the test.

[0112] : The maximum impact velocity allowed to be set to ensure that the impact simulator does not exceed the safety or performance limits of the equipment.

[0113] :The impact mass of the impact simulation device can be adjusted by replacing the counterweight, etc., and is used to simulate impact objects of different masses.

[0114] : The minimum impact mass allowed to be set to avoid meaningless test results due to too low impact mass.

[0115] : The maximum impact mass allowed to be set to prevent damage to the device or exceeding the detection range due to excessive impact mass.

[0116] : The impact angle of the impact simulation device can be adjusted within a certain range to simulate impacts at different angles.

[0117] : The minimum impact angle allowed to be set to ensure that the impact angle is within a reasonable range.

[0118] : The maximum impact angle allowed to be set to ensure that the impact angle is within a reasonable range.

[0119] S4. Data analysis and evaluation module

[0120] This module conducts in-depth analysis of the collected data to evaluate the anti-collision performance of the PVC guardrail, including stress analysis of strain data, peak and impulse analysis of impact force data, and precise analysis of deformation and displacement data, and finally comprehensively evaluates the anti-collision performance of the guardrail.

[0121] Strain data analysis formula (finite element analysis):

[0122] In the formula, : The stress vector within the unit includes the stress values ​​​​of the unit in different directions and is an important physical quantity for analyzing the strength of the guardrail structure.

[0123] : Elastic matrix, which is related to the elastic properties of the material, reflects the elastic performance of the material in different directions. Its elements are determined according to parameters such as the elastic modulus and Poisson's ratio of the material.

[0124] : The geometric matrix is ​​related to the geometric shape and size of the unit and takes into account the influence of the geometric characteristics of the unit on the mechanical properties.

[0125] : Node displacement vector, which describes the displacement of the unit node in different directions. By solving this vector, the deformation of the structure can be obtained.

[0126] Impact force data analysis formula (peak detection and impulse calculation):

[0127] Peak detection: Determine the peak value of the impact force by comparing the magnitudes of adjacent data points , that is, when and hour, Possibly a peak value.

[0128] Impulse calculation:

[0129] In the formula, : The peak impact force represents the maximum value of the impact force during the collision and is an important indicator for evaluating the bearing capacity of the guardrail.

[0130] :The impulse of the impact force reflects the cumulative effect of the impact force over a period of time. It is obtained by integrating the impact force over time and is an important parameter for evaluating the energy absorption of the guardrail.

[0131] : In the The impact force value at each sampling moment is discrete impact force measurement data.

[0132] : The sampling time interval is the time difference between two adjacent sampling moments, which determines the time resolution of the data.

[0133] : The total number of sampling points of impact force data reflects the duration and frequency of data collection.

[0134] Deformation and displacement data analysis formula (based on CNN model):

[0135] In the formula, : The output results of the CNN model can represent the recognition results or calculation results of deformation and displacement feature points, depending on the specific model structure and tasks.

[0136] : The weight matrix is ​​a learning parameter contained in the CNN model, which is continuously adjusted during the training process and is used to weight the input image features.

[0137] : The feature vector obtained after convolution, pooling and other operations of the CNN model extracts the key feature information in the input image for subsequent calculation and judgment.

[0138] : The image data input to the CNN model, that is, the image of the guardrail collision process taken by the high-speed camera, is the original data for deformation and displacement analysis.

[0139] : Bias vector is part of the CNN model and is used to adjust the output of the model and enhance the model's fitting ability.

[0140] Anti-collision performance evaluation formula (energy absorption calculation):

[0141] In the formula, :The energy absorption capacity of the guardrail is a key indicator for evaluating the anti-collision performance of the guardrail. It reflects the amount of energy absorbed by the guardrail during the impact. The greater the energy absorption capacity, the better the anti-collision performance of the guardrail.

[0142] : The displacement of the guardrail is the change in the position of the guardrail during the impact and is a time-dependent variable.

[0143] :The maximum displacement of the guardrail during the impact is the limit value of the displacement, indicating the position of the guardrail when it is deformed to the maximum extent.

[0144] : Corresponding displacement The impact force at that time is described, which describes the relationship between the impact force and the displacement. The energy absorption capacity can be obtained by integrating it.

[0145] S5, data storage and report generation module

[0146] This module is responsible for storing the test data in a suitable storage system and generating a test report based on the stored data to facilitate subsequent query and analysis.

[0147] Data storage formula (taking relational database as an example):

[0148] The strain data table structure can be designed as

[0149] In the formula, : A unique identifier for each data record, used to distinguish different measurement data and ensure the uniqueness and traceability of the data.

[0150] : Measurement time records the specific moment of data collection, which helps to analyze the time series characteristics of the data.

[0151] : The x-coordinate of the position where the strain gauge is installed on the guardrail, used to determine the horizontal information of the measurement position.

[0152] : The y coordinate of the strain gauge installation position on the guardrail, used to determine the vertical information of the measurement position.

[0153] : The strain value measured at the corresponding position and time is the actual measured strain data.

[0154] Report generation: When using the template engine, the variables involved are filled into the report template as placeholders, and finally a complete report is generated. The generated report contains the detailed information, data and evaluation results of the detection.

[0155] 2. A detection method based on the PVC guardrail anti-collision performance detection system

[0156] S1. Preparation before testing

[0157] S1-1. Equipment installation and commissioning

[0158] According to the system requirements, high-precision strain gauges are firmly glued to the joints between the columns and crossbars of the PVC guardrail, the middle of the crossbars, and other force-sensitive areas to ensure that the strain gauges fit tightly against the surface of the guardrail to accurately sense strain changes.

[0159] A specially made high-speed, high-precision pressure sensor is precisely installed at the point where the impact head contacts the guardrail to ensure that the sensor sensing surface and the contact point are perfectly matched, so that the impact force can be accurately measured.

[0160] Install the high-speed camera and adjust its position and angle to ensure that it can fully cover the impact area of ​​the guardrail without visual blind spots. Calibrate the high-speed camera and set the frame rate to more than 2000fps and the resolution to 4K level to ensure that the captured image is clear and stable.

[0161] Check the hydraulic drive system and servo control system of the impact simulation device to ensure their normal operation. Lubricate and debug each component to ensure that the impact head can impact at the predetermined speed, mass and angle.

[0162] S1-2. Parameter setting and verification

[0163] Through the multi-functional parameter setting interface of the control system, the impact speed (can be set within the range of 30km / h120km / h), impact mass (adjustable between 1 ton and 5 tons) and impact angle (set within the range of ±30 degrees) of the impact simulation device can be accurately set according to the detection requirements.

[0164] The system automatically checks the rationality of the input parameters to check whether the impact speed is within the specified range, whether the impact quality meets the requirements, and whether the impact angle is reasonable. If the parameter setting is incorrect, the system will promptly prompt the tester to make corrections to ensure the accuracy and safety of the test parameters.

[0165] S1-3. Data storage and transmission settings

[0166] Start the data storage system and ensure the normal operation of the relational database and distributed file system. Set up the data storage path and format to store the various data generated during the detection process.

[0167] Check the data transmission lines and network connections to ensure that the data collected by strain gauges, pressure sensors and high-speed cameras can be transmitted to the control system in real time and accurately. Test the verification mechanism during data transmission to ensure the integrity of data transmission.

[0168] S2. Impact detection process

[0169] S2-1. Start the detection process

[0170] After the inspector confirms that all preparations are complete, the inspection process is started through the control system. The control system sends instructions to the impact simulation device, and the hydraulic drive system starts working, pushing the impact head to accelerate.

[0171] The servo control system accurately controls the motion trajectory and impact angle of the impact head so that it hits the PVC guardrail at a set angle and quality after reaching a predetermined speed.

[0172] S2-2. Synchronous data collection

[0173] At the moment of impact, the strain gauge begins to sense the strain change of the guardrail and converts it into resistance change, which is then converted into a voltage signal through the Wheatstone bridge principle and transmitted to the control system via the data acquisition line.

[0174] The pressure sensor measures the impact force during the collision in real time, converts it into an electrical signal, and transmits it to the control system after amplification and A / D conversion.

[0175] The high-speed camera continuously records the collision process of the guardrail at a frame rate of more than 2000fps, and transmits the captured video data to the control system in real time through a high-speed data transmission interface.

[0176] S2-3. Real-time data monitoring and preliminary processing

[0177] The real-time data monitoring interface of the control system displays the strain data curve, impact force data curve and video images taken by the high-speed camera in real time. The test personnel can observe the changes of various data during the test in real time and judge whether the test is proceeding normally.

[0178] The control system performs preliminary preprocessing on the collected strain data and impact force data, using the mean filter algorithm (Formula ) Remove noise interference to ensure data accuracy. At the same time, perform preliminary image analysis on the video data transmitted by the high-speed camera to extract key deformation and displacement information.

[0179] S3. Data analysis and processing

[0180] S3-1. Strain data analysis

[0181] The finite element analysis model is used to conduct in-depth analysis of the preprocessed strain data. The strain data is input into the finite element analysis software and the formula is used to calculate the strain data. , calculate the stress distribution of each part of the PVC guardrail. By analyzing the stress distribution, the structural strength and deformation capacity of the guardrail during the impact process are evaluated.

[0182] Calculate strain energy and other related parameters to further understand the energy changes of the guardrail during the force process, providing more basis for evaluating anti-collision performance.

[0183] S3-2. Impact force data analysis

[0184] Accurately identify the peak value of impact force from impact force data through peak detection algorithm Using the integral algorithm (formula ) Calculate the impulse of the impact force , analyzing the cumulative effect of impact force over time.

[0185] Conduct a detailed analysis of the impact force variation curve over time to understand the variation pattern of the impact force during the collision process and determine the impact load that the guardrail is subjected to at different stages.

[0186] S3-3. Deformation and displacement data analysis

[0187] The deep learning convolutional neural network (CNN) model is used to analyze the video data captured by the high-speed camera. , identify the characteristic points on the guardrail and accurately calculate the deformation and displacement of each part of the guardrail.

[0188] The deformation and displacement trajectory of the guardrail is plotted to intuitively display the overall structural response of the guardrail during the impact process, providing intuitive data support for evaluating the anti-collision performance.

[0189] S4. Anti-collision performance evaluation

[0190] S4-1. Calculation of comprehensive evaluation indicators

[0191] Calculate the energy absorption capacity of PVC guardrail based on the analysis results of strain, impact force, deformation and displacement data , through the formula , comprehensively considering the effects of impact force and displacement on energy absorption.

[0192] Calculate other relevant evaluation indicators, such as structural stability index, deformation recovery capacity index, etc., to comprehensively evaluate the anti-collision performance of the guardrail from multiple angles.

[0193] S4-2. Comparison with standards

[0194] Compare the calculated evaluation indicators with the pre-set PVC guardrail anti-collision performance standards to determine whether the energy absorption capacity meets the standard requirements, whether the stress is within the allowable stress range of the material, and whether the deformation and displacement are within the allowable limits.

[0195] Based on the comparison results, a conclusion is drawn as to whether the anti-collision performance of the PVC guardrail is qualified. If all indicators of the guardrail meet the standard requirements, its anti-collision performance is judged to be qualified; otherwise, it is judged to be unqualified.

[0196] S5. Test report generation and storage

[0197] S5-1. Report Generation

[0198] The control system automatically generates a detailed test report based on the stored data and analysis results. The report adopts a standardized format, including basic information of the test (such as test time, test location, test personnel, etc.), specifications and installation methods of PVC guardrails, various test data and analysis results (strain data, impact force data, detailed charts and analysis conclusions of deformation and displacement data), and evaluation conclusions and suggestions on the anti-collision performance of PVC guardrails.

[0199] Using template engine technology (such as Jinja2), fill the data and analysis results into the report template to generate the final detection report document.

[0200] S5-2. Data storage and backup

[0201] The test report is stored in a relational database, and the original test data (including strain data, impact force data, video data taken by high-speed cameras, etc.) is stored in a distributed file system. The data is stored in a classified manner to facilitate subsequent query and management.

[0202] Back up data regularly and back up important data to external storage devices or cloud storage platforms to ensure data security and reliability and prevent data loss.

[0203] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A PVC guardrail anti-collision performance detection system, characterized by: Includes the following modules: S1, data acquisition module: This module is mainly responsible for collecting data and converting physical quantities into measurable and analyzable electrical signals and image information through different sensors and devices; S2, data transmission and preprocessing module: CRC check is used to ensure the accuracy of data transmission, and mean filtering algorithm is used to preprocess the collected data to remove noise interference; S3, control and parameter setting module: with the help of hydraulic and servo control systems, the speed, mass and angle of the impact simulation device are precisely controlled according to physical formulas; S4, Data Analysis and Evaluation Module: In-depth analysis of the collected data, including stress analysis of strain data, peak and impulse analysis of impact force data, and analysis of deformation and displacement data. Strain data analysis formula: ， In the formula, : stress vector within the element, : elasticity matrix, : geometry matrix, : node displacement vector, Impact force data analysis formula: Peak detection: Determine the peak value of the impact force by comparing the magnitudes of adjacent data points , that is, when and hour, It may be a peak value. Impulse calculation: In the formula, : Peak value of impact force, : impulse of the impact force, : In the The impact force value at each sampling moment is discrete impact force measurement data. : sampling time interval, : The total number of sampling points of impact force data, Deformation and displacement data analysis formula: In the formula, : Output of the CNN model, : weight matrix, : The feature vector obtained after convolution, pooling and other operations of the CNN model, : image data input to the CNN model, : bias vector, Anti-collision performance evaluation formula: In the formula, : The energy absorption capacity of the guardrail, : Displacement of guardrail, : The maximum displacement of the guardrail during the impact, : Corresponding displacement The impact force when S5, data storage and report generation module: uses relational database and distributed file system to store data, and automatically generates test reports through template engine.

2. A PVC guardrail anti-collision performance detection system according to claim 1, characterized in that: The key data collected by the data collection module include strain data, impact force data, and deformation and displacement data.

3. A PVC guardrail anti-collision performance detection system according to claim 2, characterized in that: The strain data acquisition formula: In the formula, : Output voltage of the Wheatstone bridge, : Input voltage of the Wheatstone bridge, : resistance change rate of the strain gauge, : Sensitivity coefficient of strain gauge, :Strain is a physical quantity that describes the degree of deformation of an object under force.

4. A PVC guardrail anti-collision performance detection system according to claim 2, characterized in that: The impact force data collection formula: In the formula, : The voltage output by the pressure sensor, : Sensitivity coefficient of pressure sensor, : Impact force, i.e. the force applied when the impact simulation device hits the PVC guardrail, : Offset of the pressure sensor.

5. A PVC guardrail anti-collision performance detection system according to claim 2, characterized in that: The deformation and displacement data acquisition formula: In a two-dimensional plane, for feature points: In the formula, : The horizontal displacement of the feature point, : The horizontal coordinate of the feature point at the initial moment, : The horizontal coordinate of the feature point at a certain moment, : The displacement of the feature point in the vertical direction, : The vertical coordinate of the feature point at the initial moment, : The vertical coordinate of the feature point at a certain moment.

6. A PVC guardrail anti-collision performance detection system according to claim 1, characterized in that: The control formula of the impact simulation device of the hydraulic system is: In the formula, : Pressure in the hydraulic system, : Density of hydraulic oil, : acceleration due to gravity, : Height of hydraulic oil column, : Flow rate of hydraulic oil in the pipeline; The control formula of the impact simulation device of the servo system is: In the formula, : The impact angle of the impact head, : Transmission ratio coefficient, : The rotation angle of the motor, Parameter range restrictions for parameter setting formulas: For the impact speed : , For the impact mass : , For the impact angle : , In the formula, : impact velocity of the impact simulation device, : The minimum impact speed allowed to be set, : The maximum impact speed allowed to be set, : impact mass of the impact simulation device, : The minimum impact mass allowed to be set, : The maximum impact mass allowed to be set, : impact angle of the impact simulation device, : The minimum impact angle allowed to be set, : The maximum impact angle allowed.

7. A method for detecting the anti-collision performance of a PVC guardrail according to any one of claims 1 to 6, characterized in that: The following steps are involved: S1. Preliminary preparation: Install and debug strain gauges, pressure sensors, high-speed cameras and impact simulation devices, accurately set and verify impact parameters in the control system, and configure data storage and transmission settings; S2. Implement the test: Start the process, the impact simulation device hits the guardrail according to the set parameters, during which the strain gauge, pressure sensor, and high-speed camera synchronously collect data and transmit it to the control system for real-time monitoring and preliminary processing; S3. Data analysis: Use finite element analysis to obtain stress distribution and strain energy from strain data, analyze impact force data through peak detection and integration algorithm, and calculate guardrail deformation and displacement using CNN model; S4. Performance evaluation: Calculate energy absorption and other indicators based on the analysis results, compare with the standards, and determine whether the guardrail's anti-collision performance is qualified; S5. Report generation and storage: The system automatically generates a test report covering all key information, and stores the report and original data in categories and backs them up regularly.

8. A method for detecting the anti-collision performance of a PVC guardrail according to claim 7, characterized in that: The data preprocessing formula: In the formula, :After mean filtering, The data output value at each moment, : The length of the mean filter window, : In the The original data collected at the moment, : Index variable used to traverse the data points in the mean filter window, from 0 to .

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