Intelligent rubber fender performance detection system based on data analysis

Abstract

The invention belongs to the field of rubber fenders, relates to a data analysis technology, and aims to solve the problem that an existing rubber fender performance intelligent detection system cannot simulate and detect the operation performance of a rubber fender in different application environments, in particular to a rubber fender performance intelligent detection system based on data analysis. Comprising a basic parameter detection module, a performance detection module and a damage analysis module, and the basic parameter detection module, the performance detection module and the damage analysis module are in communication connection in sequence; the basic parameter detection module is used for detecting and analyzing basic parameters of the rubber fender, marking the rubber fender as a basic correct object or a basic abnormal object, and sending the basic correct object to the performance detection module; according to the method, the basic parameters of the rubber fender can be detected and analyzed, so that the abnormal degree of the overall basic parameters of the rubber fender is fed back through the basic parameter coefficients, early warning is carried out in time when abnormity occurs, and the rubber fender with unqualified basic parameters is prevented from flowing into the market.

Description

Technical Field

[0001] The invention belongs to the field of rubber fenders and relates to data analysis technology, in particular to an intelligent detection system for rubber fender performance based on data analysis. Background Art

[0002] Rubber fenders, also known as rubber fenders, are installed on docks or ships to absorb the collision energy between ships and docks or ships when docking or mooring, protecting ships and docks from damage; rubber fenders must have a certain wear resistance to ensure that they can continue to work in harsh environments such as ship navigation and ship collision; at the same time, the corrosion resistance of rubber fenders must also meet certain standards to ensure that they are not corroded in harsh environments, thereby ensuring long-term use of ships.

[0003] The invention patent with announcement number CN102661858B discloses a rubber fender mechanical performance test device, which adopts a composite flexible fuselage structure to completely change the rigid structure of the existing rubber fender testing machine, with a maximum test capacity of 1200t. The reaction force of the rubber fender on the ground during the test is converted into the internal force of the fuselage steel plate, thereby effectively avoiding the damage of the traditional testing machine to the ground and the fuselage structure; however, the rubber fender mechanical performance test device cannot simulate the running performance of the rubber fender in different application environments, resulting in low accuracy of the performance test results of the rubber fender, and cannot predict the use performance of the rubber fender in the application environment, and cannot generate a corresponding maintenance plan based on the performance test data, resulting in the rubber fender cannot be scientifically and effectively maintained, shortening its service life.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide a rubber fender performance intelligent detection system based on data analysis, which is used to solve the problem that the existing rubber fender performance intelligent detection system cannot simulate the running performance of the rubber fender in different application environments;

[0006] The technical problem to be solved by the present invention is: how to provide a rubber fender performance intelligent detection system based on data analysis that can simulate and detect the operating performance of the rubber fender in different application environments.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] A rubber fender performance intelligent detection system based on data analysis, comprising a basic parameter detection module, a performance detection module and a damage analysis module, wherein the basic parameter detection module, the performance detection module and the damage analysis module are sequentially connected in communication;

[0009] The basic parameter detection module is used to detect and analyze the basic parameters of the rubber fender and mark the rubber fender as a basic correct object or a basic abnormal object, and send the basic correct object to the performance detection module;

[0010] The performance detection module is used to perform performance detection on the base object and obtain a performance value, and to determine whether the performance detection result of the base object is qualified by the performance value. The performance detection mode includes a high temperature simulation mode and a high pressure simulation mode;

[0011] The damage analysis module is used to analyze the historical damage data of the rubber fender and obtain the interference value, high temperature value and high pressure value, perform numerical comparison on the interference value, high temperature value and high pressure value, generate a maintenance training signal, a high temperature priority signal or a high pressure priority signal according to the comparison result and send it to the mobile terminal of the manager or the performance detection module.

[0012] As a preferred embodiment of the present invention, the specific process of the basic parameter detection module detecting and analyzing the basic parameters of the rubber fender includes: obtaining the thickness data and surface data of the rubber fenders of the same batch one by one and performing numerical calculation to obtain the basic parameter coefficient; comparing the basic parameter coefficients of the rubber fenders of the same batch with the preset basic parameter thresholds one by one: if the basic parameter coefficient is less than the basic parameter threshold, it is determined that the basic parameter detection of the rubber fender is qualified, and the corresponding rubber fender is marked as a basic positive object; if the basic parameter coefficient is greater than or equal to the basic parameter threshold, it is determined that the basic parameter detection of the rubber fender is unqualified, and the corresponding rubber fender is marked as a basic abnormal object.

[0013] As a preferred embodiment of the present invention, the process of acquiring thickness data includes: acquiring the thickness value and the thickness standard range of the rubber fender, marking the average value of the maximum value and the minimum value of the thickness standard range as the thickness standard value, and marking the absolute value of the difference between the thickness value and the thickness standard value of the rubber fender as the thickness data; the process of acquiring surface data includes: dividing the rubber fender into a plurality of surface areas, acquiring the surface smoothness grades of the surface areas, and marking the maximum values ​​of the surface smoothness grades of all the surface areas as the surface data.

[0014] As a preferred embodiment of the present invention, the specific process of using the high temperature simulation mode for performance testing includes: selecting a number of base objects from the same batch of rubber fenders for simulation testing, obtaining the temperature standard range and pressure standard range of the rubber fenders, marking the average value of the maximum value and the minimum value of the temperature standard range as the temperature standard value, setting a simulation temperature value, the value of the simulation temperature value is t1 times the value of the temperature standard value, setting the temperature value to the simulation temperature value, and the impact pressure is within the pressure standard range. The high temperature simulation environment is set, and the selected base objects are placed in the high temperature simulation environment for L1 impact tests.

[0015] As a preferred embodiment of the present invention, the specific process of using the high-pressure simulation mode for performance testing includes: selecting a number of base objects from the same batch of rubber fenders for simulation testing, obtaining the temperature standard range and the pressure standard range of the rubber fender, marking the average value of the maximum value and the minimum value in the pressure standard range as the pressure standard value, setting the simulation pressure value, the numerical value of the simulation pressure value is t2 times the numerical value of the pressure standard value, setting the impact pressure value to the simulation pressure value, and the temperature value is in the high-pressure simulation environment within the temperature standard range, and placing the selected base objects in the high-pressure simulation environment for L1 impact tests.

[0016] As a preferred embodiment of the present invention, the process of obtaining the performance value includes: dividing the base object that has completed the impact test into several detection areas, obtaining hardness data and grayscale data of the detection area and performing numerical calculation to obtain the performance coefficient of the detection area; marking the maximum value of the performance coefficient of the detection area of ​​all base objects as the performance value, and comparing the performance value with a preset performance threshold: if the performance value is less than the performance threshold, the performance test result of the rubber fender is determined to be qualified; if the performance value is greater than or equal to the performance threshold, the performance test result of the rubber fender is determined to be unqualified, and the performance detection module sends a performance abnormality signal to the mobile phone terminal of the manager.

[0017] As a preferred embodiment of the present invention, the process of acquiring the hardness data of the detection area includes: setting a number of detection points in the detection area, acquiring the hardness values ​​and the hardness standard range of the detection points, marking the average value of the maximum value and the minimum value of the hardness standard range as the hardness standard value, marking the absolute value of the difference between the hardness value and the hardness standard value as the hardness difference value of the detection point, and marking the maximum value of the hardness difference value of the detection point in the detection area as the hardness data of the detection area; the process of acquiring the grayscale data of the detection area includes: capturing an image of the detection area and enlarging the captured image into a pixel grid image, performing grayscale transformation on the pixel grid image, acquiring the grayscale standard range, marking the average value of the maximum value and the minimum value of the grayscale standard range as the grayscale standard value, marking the absolute value of the difference between the grayscale value and the grayscale standard value as the gray difference value of the pixel grid, and marking the maximum value of the gray difference value of the pixel grid in the detection area as the grayscale data of the detection area.

[0018] As a preferred embodiment of the present invention, the process of obtaining the interference value, the high temperature value and the high pressure value includes: generating an analysis cycle, marking the rubber fender damaged and scrapped within the analysis cycle as an analysis object, marking and analyzing the damage characteristics of the analysis object, the damage characteristics of the analysis object include interference damage, high temperature damage and high pressure damage, and marking the damage characteristics of the analysis object whose damage causes are corrosion and scrapping of steel bar anchors, anchor bolts and connecting iron chains as interference damage; performing performance detection on the analysis object and performing variance calculation on the performance coefficient of all detection areas of the analysis object to obtain the deviation coefficient of the analysis object, and comparing the deviation coefficient of the analysis object with a preset deviation threshold: if the deviation coefficient is less than the deviation threshold, the damage characteristic of the corresponding analysis object is marked as high temperature damage; if the deviation coefficient is greater than or equal to the deviation threshold, the damage characteristic of the corresponding analysis object is marked as high pressure damage; and the marking times of interference damage, high temperature damage and high pressure damage of the analysis object are marked as interference value, high temperature value and high pressure value respectively.

[0019] As a preferred embodiment of the present invention, the specific process of numerically comparing the interference value, high temperature value and high voltage value includes: if the interference value has the largest value, a maintenance training signal is generated and the maintenance training signal is sent to the mobile phone terminal of the administrator; if the high temperature value has the largest value, a high temperature priority signal is generated and the high temperature priority signal is sent to the performance detection module; if the high voltage value has the largest value, a high voltage priority signal is generated and the high voltage priority signal is sent to the performance detection module.

[0020] The present invention has the following beneficial effects:

[0021] 1. The basic parameters of the rubber fender can be tested and analyzed through the basic parameter detection module. The basic parameter coefficient can be obtained by comprehensive analysis and calculation of the basic parameters of the rubber fender, so as to feedback the abnormal degree of the overall basic parameters of the rubber fender through the basic parameter coefficient, and give early warning in time when abnormalities occur, so as to prevent the rubber fenders with unqualified basic parameters from entering the market;

[0022] 2. The performance detection module can be used to detect the performance of the base object. The high temperature simulation mode and the high pressure simulation mode can be used to simulate the two application environments of the rubber fender. The oxidation and corrosion of the rubber fender caused by the long-term influence of temperature and pressure under the high temperature and high pressure environment can be simulated. The simulated performance of the rubber fender can be fed back according to the performance value, thereby improving the accuracy of the performance detection results of the rubber fender.

[0023] 3. The damage analysis module can be used to analyze the historical damage data of the rubber fender. By analyzing the damage characteristics of the rubber fender, the high pressure value, high temperature value and interference value can be obtained. According to the distribution of damage characteristics, the influence of the external environment on the aging of the rubber fender can be determined, and the factor with the greatest influence can be selected for performance testing and optimization and upgrading of aging maintenance;

[0024] 4. The maintenance management module can be used to manage and analyze the performance differences of rubber fenders in a simulated environment, so as to obtain the maintenance focus through the performance difference management analysis results, and provide data support for the screening of maintenance measures for rubber fenders. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0026] Figure 1 A system block diagram of the present invention as a whole;

[0027] Figure 2 is a system block diagram of Embodiment 1 of the present invention;

[0028] Figure 3 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0029] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0030] like Figure 1 As shown, a rubber fender performance intelligent detection system based on data analysis includes a basic parameter detection module, a performance detection module, a damage analysis module and a maintenance management module.

[0031] Embodiment 1

[0032] like Figure 2As shown, the basic parameter detection module, the performance detection module and the damage analysis module are sequentially connected in communication. The basic parameter detection module is used to detect and analyze the basic parameters of the rubber fender: the thickness data HD and the surface data BM of the rubber fenders of the same batch are obtained one by one. The process of obtaining the thickness data HD includes: obtaining the thickness value and the thickness standard range of the rubber fender, marking the average value of the maximum value and the minimum value of the thickness standard range as the thickness standard value, and marking the absolute value of the difference between the thickness value and the thickness standard value of the rubber fender as the thickness data HD; the process of obtaining the surface data BM includes: dividing a plurality of surface areas on the rubber fender, obtaining the surface smoothness level of the surface area, and marking the maximum value of the surface smoothness level of all surface areas as the surface data BM; by the formula JC = α1*HD+α2*BM e The basic parameter coefficient JC of the rubber fender is obtained. The basic parameter coefficient is a value that reflects the normality of the basic parameters of the rubber fender. The lower the value of the basic parameter coefficient, the higher the normality of the basic parameters of the rubber fender. α1 and α2 are both proportional coefficients, and α1>α2>1. e is a natural constant, and the value of e is 2.72. The basic parameter coefficients of the rubber fenders of the same batch are compared with the preset basic parameter threshold JCmax one by one: if the basic parameter coefficient JC is less than the basic parameter threshold JCmax, it is determined that the basic parameter test of the rubber fender is qualified, and the corresponding rubber fender is The rubber fender is marked as a basic correction object; if the basic parameter coefficient JC is greater than or equal to the basic parameter threshold JCmax, it is determined that the basic parameter detection of the rubber fender is unqualified, and the corresponding rubber fender is marked as a basic abnormal object; the basic correction object is sent to the performance detection module; the basic parameters of the rubber fender are detected and analyzed, and the basic parameter coefficients are obtained by comprehensive analysis and calculation of the basic parameters of the rubber fender, so as to feedback the abnormal degree of the overall basic parameters of the rubber fender through the basic parameter coefficients, and timely warn when an abnormality occurs to prevent rubber fenders with unqualified basic parameters from entering the market.

[0033] It can be understood that in addition to marking the rubber fenders, the basic parameter detection process can also provide feedback on the overall processing quality of the rubber fenders of the same batch through the proportion of the number of basic abnormal objects in the rubber fenders. When the overall processing quality is unqualified, the rubber fenders of this batch will not be sampled for performance testing, and the rubber fenders of this batch will be collectively returned to the factory for rework.

[0034] The performance detection module is used to perform performance detection on the base object: the performance detection mode includes high temperature simulation mode and high pressure simulation mode. The specific process of using the high temperature simulation mode for performance detection includes: selecting several base objects from the same batch of rubber fenders for simulation detection, obtaining the temperature standard range and pressure standard range of the rubber fenders, marking the average value of the maximum and minimum values ​​in the temperature standard range as the temperature standard value, setting the simulation temperature value, the value of the simulation temperature value is t1 times the value of the temperature standard value, setting the temperature value to the simulation temperature value, and the impact pressure is within the pressure standard range of the high temperature simulation environment, placing the selected base object in the high temperature simulation environment for L1 impact test; using the high pressure simulation mode for The specific process of the performance test includes: selecting several base objects from the same batch of rubber fenders for simulation test, obtaining the temperature standard range and pressure standard range of the rubber fenders, marking the average value of the maximum value and the minimum value of the pressure standard range as the pressure standard value, setting the simulation pressure value, the value of the simulation pressure value is t2 times the value of the pressure standard value, setting the impact pressure value to the simulation pressure value, and the temperature value is in the high-pressure simulation environment within the temperature standard range, placing the selected base objects in the high-pressure simulation environment for L1 impact tests; dividing the base objects that have completed the impact test into several test areas, obtaining the hardness data YD and the grayscale data HD of the test area, and the process of obtaining the hardness data YD of the test area includes In summary: a number of detection points are set in the detection area, the hardness values ​​and hardness standard range of the detection points are obtained, the average value of the maximum value and the minimum value of the hardness standard range is marked as the hardness standard value, the absolute value of the difference between the hardness value and the hardness standard value is marked as the hardness difference value of the detection point, and the maximum value of the hardness difference value of the detection point in the detection area is marked as the hardness data YD of the detection area; the acquisition process of the grayscale data HD of the detection area includes: taking an image of the detection area and enlarging the taken image into a pixel grid image, performing grayscale transformation on the pixel grid image, obtaining the grayscale standard range, marking the average value of the maximum value and the minimum value of the grayscale standard range as the grayscale standard value, and marking the absolute value of the difference between the grayscale value and the grayscale standard value as Gray difference value of pixel grid, mark the maximum value of gray difference value of pixel grid in the detection area as gray data HD of the detection area; obtain the performance coefficient XN of the detection area through formula XN=β1*YD+β2*HD, where β1 and β2 are both proportional coefficients, and β1>β2>1; mark the maximum value of performance coefficient XN of the detection area of ​​all base objects as performance value, and compare the performance value with the preset performance threshold: if the performance value is less than the performance threshold, the performance test result of the rubber fender is determined to be qualified; if the performance value is greater than or equal to the performance threshold, the performance test result of the rubber fender is determined to be unqualified, and the performance detection module sends a performance abnormality signal to the mobile terminal of the manager;The performance of the base object is tested, and two application environments of the rubber fender are simulated through high temperature simulation mode and high pressure simulation mode. The oxidation and corrosion of the rubber fender under the influence of temperature and pressure for a long time are simulated under high temperature and high pressure environment, so as to provide feedback on the simulated performance of the rubber fender according to the performance value, and improve the accuracy of the performance test results of the rubber fender. ;

[0035] It should be noted that the performance threshold is a value that measures whether the overall performance of the rubber fender meets the requirements after application environment simulation. Its value is set by the management personnel based on historical data and industry experience; t1, t2 and L1 are all numerical constants.

[0036] The damage analysis module is used to analyze the historical damage data of the rubber fender: generate an analysis cycle, mark the rubber fenders that are damaged and scrapped within the analysis cycle as analysis objects, mark and analyze the damage characteristics of the analysis objects, the damage characteristics of the analysis objects include interference damage, high temperature damage and high pressure damage, and mark the damage characteristics of the analysis objects whose damage causes are corrosion and scrapping of steel bar anchors, anchor bolts and connecting iron chains as interference damage; perform performance detection on the analysis object and calculate the variance of the performance coefficient XN of all detection areas of the analysis object to obtain the deviation coefficient of the analysis object, and compare the deviation coefficient of the analysis object with the preset deviation threshold: if the deviation coefficient is less than the deviation threshold, the damage characteristic of the corresponding analysis object is marked as high temperature damage; if the deviation coefficient is greater than or equal to the deviation threshold, the damage characteristic of the corresponding analysis object is marked as high pressure damage; The marking times of interference damage, high temperature damage and high pressure damage of the object are marked as interference value, high temperature value and high pressure value respectively, and the interference value, high temperature value and high pressure value are compared numerically: if the interference value has the largest value, a maintenance training signal is generated and the maintenance training signal is sent to the mobile phone terminal of the manager; if the high temperature value has the largest value, a high temperature priority signal is generated and the high temperature priority signal is sent to the performance detection module; if the high pressure value has the largest value, a high pressure priority signal is generated and the high pressure priority signal is sent to the performance detection module; the historical damage data of the rubber fender is analyzed, and the high pressure value, high temperature value and interference value are obtained by analyzing the damage characteristics of the rubber fender, so as to determine the degree of influence of the external environment on the aging of the rubber fender according to the distribution of the damage characteristics, and select the factor with the greatest influence for performance detection and optimization and upgrading of aging maintenance.

[0037] Embodiment 2

[0038] like Figure 3As shown, the performance detection module is also communicatively connected to a maintenance management module, and the maintenance management module is used to manage and analyze the maintenance management focus of the rubber fender: the maximum value of the detection area performance coefficient XN of the base object that has completed the impact test is marked as the management value of the base object, the variance of the management values ​​of all base objects that have undergone performance detection is calculated to obtain the focus coefficient, and the focus coefficient is compared with the preset focus threshold: if the focus coefficient is less than the focus threshold, a conventional maintenance signal is generated and sent to the mobile phone terminal of the manager; if the focus coefficient is greater than or equal to the focus threshold, the performance detection mode of the base object is determined: if the base object adopts a high-temperature simulation mode for performance detection, a high-temperature maintenance signal is generated and sent to the mobile phone terminal of the manager; if the base object adopts a high-voltage simulation mode for performance detection, a high-voltage maintenance signal is generated and sent to the mobile phone terminal of the manager; the performance difference of the rubber fender in the simulation environment is managed and analyzed, so as to obtain the maintenance focus direction through the performance difference management analysis results, and provide data support for the screening of maintenance measures for the rubber fender.

[0039] The invention discloses an intelligent detection system for rubber fender performance based on data analysis. When working, the basic parameters of the rubber fender are detected and analyzed: the thickness data HD and the surface data BM of the rubber fenders of the same batch are obtained one by one and the basic parameter coefficient JC is obtained by numerical calculation; the rubber fender is marked as a basic normal object or a basic abnormal object according to the value of the basic parameter coefficient JC; the performance of the basic normal object is detected and the performance value is obtained; and whether the performance detection result of the basic normal object is qualified is judged according to the performance value.

[0040] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0041] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The coefficients in the formula are set by technicians in this field according to actual conditions; for example: Formula JC = α1*HD+α2*BM e ; A technician in this field collects multiple groups of sample data and sets corresponding base parameter coefficients for each group of sample data; Substitute the set base parameter coefficients and the collected sample data into the formula, any three formulas constitute a three-variable linear equation system, screen the calculated coefficients and take the average, and obtain the values ​​of α1 and α2 as 2.25 and 1.47 respectively;

[0042] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding base parameter coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the base parameter coefficient is proportional to the value of the thickness data.

[0043] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0044] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A rubber fender performance intelligent detection system based on data analysis, characterized in that: It includes a basic parameter detection module, a performance detection module and a damage analysis module, and the basic parameter detection module, the performance detection module and the damage analysis module are communicatively connected in sequence; The basic parameter detection module is used to detect and analyze the basic parameters of the rubber fender and mark the rubber fender as a basic correct object or a basic abnormal object, and send the basic correct object to the performance detection module; The performance detection module is used to perform performance detection on the base object and obtain a performance value, and to determine whether the performance detection result of the base object is qualified by the performance value. The performance detection mode includes a high temperature simulation mode and a high pressure simulation mode; The damage analysis module is used to analyze the historical damage data of the rubber fender and obtain the interference value, high temperature value and high pressure value, compare the interference value, high temperature value and high pressure value, generate a maintenance training signal, a high temperature priority signal or a high pressure priority signal according to the comparison result and send it to the mobile terminal of the manager or the performance detection module.

2. The intelligent detection system for rubber fender performance based on data analysis according to claim 1 is characterized in that: The specific process of the basic parameter detection module for detecting and analyzing the basic parameters of the rubber fender includes: obtaining the thickness data and surface data of the rubber fenders of the same batch one by one and performing numerical calculation to obtain the basic parameter coefficient; comparing the basic parameter coefficients of the rubber fenders of the same batch with the preset basic parameter thresholds one by one: if the basic parameter coefficient is less than the basic parameter threshold, it is determined that the basic parameter detection of the rubber fender is qualified, and the corresponding rubber fender is marked as a basic positive object; if the basic parameter coefficient is greater than or equal to the basic parameter threshold, it is determined that the basic parameter detection of the rubber fender is unqualified, and the corresponding rubber fender is marked as a basic abnormal object.

3. The intelligent detection system for rubber fender performance based on data analysis according to claim 2 is characterized in that: The process of acquiring thickness data includes: acquiring the thickness value and thickness standard range of the rubber fender, marking the average value of the maximum value and the minimum value of the thickness standard range as the thickness standard value, and marking the absolute value of the difference between the thickness value and the thickness standard value of the rubber fender as the thickness data; the process of acquiring surface data includes: dividing a plurality of surface areas on the rubber fender, acquiring the surface smoothness grade of the surface area, and marking the maximum value of the surface smoothness grade of all surface areas as the surface data.

4. The intelligent detection system for rubber fender performance based on data analysis according to claim 3 is characterized in that: The specific process of using the high-temperature simulation mode for performance testing includes: selecting several base objects from the same batch of rubber fenders for simulation testing, obtaining the temperature standard range and pressure standard range of the rubber fenders, marking the average of the maximum and minimum values ​​in the temperature standard range as the temperature standard value, setting a simulation temperature value, the value of the simulation temperature value is t1 times the value of the temperature standard value, setting a high-temperature simulation environment in which the temperature value is the simulation temperature value and the impact pressure is within the pressure standard range, and placing the selected base objects in the high-temperature simulation environment for L1 impact tests.

5. The intelligent detection system for rubber fender performance based on data analysis according to claim 3 is characterized in that: The specific process of performance testing using the high-pressure simulation mode includes: selecting several reference objects from the same batch of rubber fenders for simulation testing, obtaining the temperature standard range and pressure standard range of the rubber fenders, marking the average of the maximum value and the minimum value in the pressure standard range as the pressure standard value, setting a simulation pressure value, the value of the simulation pressure value is t2 times the value of the pressure standard value, setting the impact pressure value to the simulation pressure value, and the temperature value is in a high-pressure simulation environment within the temperature standard range, and placing the selected reference objects in the high-pressure simulation environment for L1 impact tests.

6. The intelligent detection system for rubber fender performance based on data analysis according to claim 4 or 5, characterized in that: The process of obtaining the performance value includes: dividing the base object that has completed the impact test into several detection areas, obtaining the hardness data and grayscale data of the detection area and performing numerical calculation to obtain the performance coefficient of the detection area; marking the maximum value of the performance coefficient of the detection area of ​​all base objects as the performance value, and comparing the performance value with the preset performance threshold: if the performance value is less than the performance threshold, the performance test result of the rubber fender is determined to be qualified; if the performance value is greater than or equal to the performance threshold, the performance test result of the rubber fender is determined to be unqualified, and the performance detection module sends a performance abnormality signal to the mobile terminal of the manager.

7. The intelligent detection system for rubber fender performance based on data analysis according to claim 6 is characterized in that: The process of acquiring the hardness data of the detection area includes: setting a number of detection points in the detection area, acquiring the hardness values ​​and hardness standard range of the detection points, marking the average value of the maximum value and the minimum value of the hardness standard range as the hardness standard value, marking the absolute value of the difference between the hardness value and the hardness standard value as the hardness difference value of the detection point, and marking the maximum value of the hardness difference value of the detection point in the detection area as the hardness data of the detection area; the process of acquiring the grayscale data of the detection area includes: capturing an image of the detection area and enlarging the captured image into a pixel grid image, performing grayscale transformation on the pixel grid image, acquiring the grayscale standard range, marking the average value of the maximum value and the minimum value of the grayscale standard range as the grayscale standard value, marking the absolute value of the difference between the grayscale value and the grayscale standard value as the gray difference value of the pixel grid, and marking the maximum value of the gray difference value of the pixel grid in the detection area as the grayscale data of the detection area.

8. The intelligent detection system for rubber fender performance based on data analysis according to claim 7 is characterized in that: The acquisition process of the interference value, high temperature value and high pressure value includes: generating an analysis cycle, marking the rubber fender damaged and scrapped within the analysis cycle as an analysis object, marking and analyzing the damage characteristics of the analysis object, the damage characteristics of the analysis object include interference damage, high temperature damage and high pressure damage, and marking the damage characteristics of the analysis object whose damage causes are corrosion and scrapping of steel bar anchors, anchor bolts and connecting chains as interference damage; performing performance testing on the analysis object and performing variance calculation on the performance coefficients of all detection areas of the analysis object to obtain the deviation coefficient of the analysis object, and comparing the deviation coefficient of the analysis object with a preset deviation threshold: if the deviation coefficient is less than the deviation threshold, the damage characteristic of the corresponding analysis object is marked as high temperature damage; if the deviation coefficient is greater than or equal to the deviation threshold, the damage characteristic of the corresponding analysis object is marked as high pressure damage; and the marking times of interference damage, high temperature damage and high pressure damage of the analysis object are marked as interference value, high temperature value and high pressure value respectively.

9. The intelligent detection system for rubber fender performance based on data analysis according to claim 8 is characterized in that: The specific process of numerically comparing the interference value, high temperature value and high voltage value includes: if the interference value is the largest, a maintenance training signal is generated and the maintenance training signal is sent to the mobile phone terminal of the manager; if the high temperature value is the largest, a high temperature priority signal is generated and the high temperature priority signal is sent to the performance detection module; if the high voltage value is the largest, a high voltage priority signal is generated and the high voltage priority signal is sent to the performance detection module.

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