A bridge detection and early warning method and system based on grating sensor

Abstract

The present invention relates to the technical field of bridge detection, and discloses a bridge detection and early warning method and system based on a grating sensor, the method comprising: determining a bridge to be detected, obtaining construction parameter data of the bridge to be detected, and determining a bridge early warning threshold according to the construction parameter data; collecting historical optical signal records of a key monitoring area, analyzing the historical optical signal records, and calculating a regional deviation coefficient of the bridge to be detected based on the analysis result; judging whether it is necessary to correct the bridge early warning threshold according to the regional deviation coefficient, and if so, setting a correction coefficient corresponding to the bridge early warning threshold, and obtaining a corrected bridge early warning threshold; setting a compensation coefficient for the corrected bridge early warning threshold based on a grating sensor operation coefficient, and obtaining a compensated bridge early warning threshold; dividing the early warning level of the bridge to be detected according to the compensated bridge early warning threshold, and giving an early warning according to the early warning level. The present invention can effectively improve the accuracy of bridge safety detection and the timeliness of early warning.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge detection, and in particular to a bridge detection and early warning method and system based on a grating sensor. Background Art

[0002] The grating sensor is a high-precision sensor that measures displacement based on the principle of grating fringe fringes. It is easy to automate. The sensor consists of a scale grating, an indicator grating, an optical path system, and a measurement system. When the scale grating moves relative to the indicator grating, it will produce alternating light and dark fringe fringes that roughly follow the sinusoidal distribution. These fringes move with the relative motion speed of the grating and are converted into electrical pulse signals by photoelectric elements, and then output digital signals to display the measured displacement.

[0003] Bridge inspection is a key link in infrastructure maintenance. The safety of bridges is directly related to the safety of people’s lives and property as well as the stable operation of the social economy.

[0004] In the past bridge inspection practice, people usually rely on manual inspection to evaluate the health of bridges. This method is not only inefficient, but also often difficult to ensure the comprehensiveness and accuracy of the inspection process due to the limitation of manpower.

[0005] Therefore, it is necessary to design a bridge detection and early warning method and system based on grating sensors to solve the problems existing in current technology. Summary of the invention

[0006] In view of this, the present invention proposes a bridge detection and early warning method and system based on a grating sensor, aiming to solve the problem of low efficiency and low accuracy of bridge detection in the current technology.

[0007] In one aspect, the present invention provides a bridge detection and early warning method based on a grating sensor, comprising the following steps:

[0008] S100: determining a bridge to be detected, obtaining construction parameter data of the bridge to be detected, and determining a bridge warning threshold according to the construction parameter data;

[0009] S200: Based on the bridge to be inspected and the construction parameter data, the bridge to be inspected is divided into a plurality of key monitoring areas and a plurality of secondary monitoring areas, and a grating sensor is deployed in each of the key monitoring areas and the secondary monitoring areas; historical optical signal records of the key monitoring areas are collected, the historical optical signal records are analyzed, and the regional deviation coefficient of the bridge to be inspected is calculated based on the analysis results;

[0010] S300: judging whether the bridge warning threshold needs to be corrected according to the regional deviation coefficient, and if so, setting a correction coefficient corresponding to the bridge warning threshold to obtain a corrected bridge warning threshold;

[0011] S400: collecting the real-time optical signal of the key monitoring area, recorded as the first real-time optical signal, collecting the real-time optical signal of the secondary monitoring area, recorded as the second real-time optical signal; analyzing the first real-time optical signal and the second real-time optical signal, and judging whether to compensate the modified bridge warning threshold based on the analysis result, and if so, calculating the grating sensor operation coefficient of the bridge to be detected;

[0012] S500: setting a compensation coefficient of the modified bridge warning threshold based on the grating sensor operation coefficient, and obtaining a compensated bridge warning threshold;

[0013] S600: Dividing the warning level of the bridge to be detected according to the compensation bridge warning threshold, and issuing a warning according to the warning level.

[0014] Further, when determining the bridge warning threshold according to the construction parameter data, it includes:

[0015] The construction parameter data include bridge design load, bridge load area, bridge materials and construction environment data;

[0016] The bridge warning threshold is obtained by the following formula:

[0017]

[0018] in, represents the bridge warning threshold; represents the bridge design load; Indicates the bridge load area; Indicates the strength of the material used in the bridge; It represents the construction environment coefficient; Indicates the safety factor.

[0019] Furthermore, the historical optical signal records are analyzed, and the regional deviation coefficient of the bridge to be detected is calculated based on the analysis result, including:

[0020] Extracting historical wavelength offset records from the historical optical signal records, analyzing the historical wavelength offset records, and obtaining normal wavelength offset data and abnormal wavelength offset data;

[0021] Determine the wavelength impact factor corresponding to each of the abnormal wavelength deviation data, and construct a wavelength impact factor sequence;

[0022] Counting the number of the normal wavelength shift data, recorded as a normal number, and counting the number of the abnormal wavelength shift data, recorded as an abnormal number;

[0023] Calculate the regional deviation coefficient of the bridge to be detected according to the wavelength influencing factor sequence, the normal number and the abnormal number;

[0024] The regional deviation coefficient is obtained by the following formula:

[0025]

[0026] in, represents the regional deviation coefficient; 1 indicates normal quantity; Indicates the number of abnormalities; represents the i-th wavelength impact factor in the wavelength impact factor sequence; Representation and The corresponding wavelength offset data value.

[0027] Further, when determining the wavelength impact factor corresponding to each abnormal wavelength shift data, it includes:

[0028] Extracting an actual wavelength offset corresponding to each abnormal wavelength offset data, obtaining an actual wavelength offset threshold, and calculating a first wavelength offset difference according to the actual wavelength offset and the actual wavelength offset threshold;

[0029] Analyze the normal wavelength offset data, determine the wavelength offset corresponding to each normal wavelength offset data, and extract the maximum wavelength offset;

[0030] Calculate a second wavelength shift difference according to the actual wavelength shift and the maximum wavelength shift;

[0031] The wavelength impact factor corresponding to each abnormal wavelength shift data is calculated based on the first wavelength shift difference and the second wavelength shift difference.

[0032] Further, judging whether the bridge warning threshold needs to be corrected according to the regional deviation coefficient includes:

[0033] Comparing the regional deviation coefficient with the regional deviation coefficient threshold, and judging whether it is necessary to correct the bridge warning threshold according to the comparison result;

[0034] When the regional deviation coefficient is less than or equal to the regional deviation coefficient threshold, it is determined that the bridge warning threshold does not need to be corrected;

[0035] When the regional deviation coefficient is greater than the regional deviation coefficient threshold, it is determined that the bridge warning threshold needs to be corrected;

[0036] When it is determined that the bridge warning threshold needs to be corrected, a correction coefficient interval is pre-set, wherein the correction coefficient interval includes a first correction coefficient, a second correction coefficient and a third correction coefficient;

[0037] Calculating a deviation ratio between the regional deviation coefficient and the regional deviation coefficient threshold;

[0038] When the deviation ratio is greater than 1 and less than or equal to 1.15, the first correction coefficient is selected as the correction coefficient corresponding to the bridge warning threshold, and the product value of the first correction coefficient and the bridge warning threshold is used as the corrected bridge warning threshold;

[0039] When the deviation ratio is greater than 1.15 and less than or equal to 1.35, the second correction coefficient is selected as the correction coefficient corresponding to the bridge warning threshold, and the product value of the second correction coefficient and the bridge warning threshold is used as the corrected bridge warning threshold;

[0040] When the deviation ratio is greater than 1.35, the third correction coefficient is selected as the correction coefficient corresponding to the bridge warning threshold, and the product value of the third correction coefficient and the bridge warning threshold is used as the corrected bridge warning threshold.

[0041] Further, the first real-time optical signal and the second real-time optical signal are analyzed, and based on the analysis result, it is determined whether to compensate the modified bridge warning threshold, including:

[0042] Determine a light intensity change value corresponding to the first real-time optical signal, recorded as a first light intensity change value, and determine a corresponding first light intensity change standard value;

[0043] Determine a light intensity change value corresponding to the second real-time optical signal, recorded as a second light intensity change value, and determine a corresponding second light intensity change standard value;

[0044] When all of the first light intensity change values ​​are less than or equal to the first light intensity change standard value, and all of the second light intensity change values ​​are less than or equal to the second light intensity change standard value, it is determined that the modified bridge warning threshold does not need to be compensated;

[0045] When there is the first light intensity change value greater than the first light intensity change standard value and / or there is the second light intensity change value greater than the second light intensity change standard value, it is determined that the modified bridge warning threshold needs to be compensated.

[0046] Furthermore, when calculating the operating coefficient of the grating sensor of the bridge to be detected, it includes:

[0047] Extracting all first light intensity change values ​​that are greater than the first light intensity change standard value, and calculating the first light intensity change difference between each of the first light intensity change values ​​and the first light intensity change standard value;

[0048] Determine all first light intensity change difference values, and generate a first light intensity change difference value set according to all first light intensity change difference values ​​greater than a first light intensity change difference value threshold value;

[0049] Extracting all second light intensity change values ​​greater than the second light intensity change standard value, and calculating the second light intensity change difference between each of the second light intensity change values ​​and the second light intensity change standard value;

[0050] Determine all second light intensity change difference values, and generate a second light intensity change difference value set according to all second light intensity change difference values ​​greater than a second light intensity change difference value threshold value;

[0051] respectively calculating a first average light intensity change difference value of the first light intensity change difference value set and a second average light intensity change difference value of the second light intensity change difference value set;

[0052] Calculating the grating sensor operation coefficient based on the first average light intensity change difference and the second average light intensity change difference;

[0053] The grating sensor operating coefficient is obtained by the following formula:

[0054]

[0055] in, Indicates the grating sensor operating coefficient; represents the first weight coefficient; represents the number of first light intensity change difference values ​​in the first light intensity change difference value set; represents the kth first light intensity change difference in the first light intensity change difference set; represents the second weight coefficient; represents the number of second light intensity change difference values ​​in the second light intensity change difference value set; Represents the kth second light intensity change difference in the second light intensity change difference set.

[0056] Furthermore, when the compensation coefficient of the modified bridge warning threshold is set based on the grating sensor operation coefficient and the compensated bridge warning threshold is obtained, it includes:

[0057] Setting a compensation coefficient interval, wherein the compensation coefficient interval includes a first compensation coefficient, a second compensation coefficient, and a third compensation coefficient;

[0058] Comparing the grating sensor operation coefficient with the first grating sensor operation coefficient and the second grating sensor operation coefficient, and determining the compensation coefficient of the modified bridge warning threshold according to the comparison result; wherein the first grating sensor operation coefficient is less than the second grating sensor operation coefficient;

[0059] When the grating sensor operation coefficient is less than or equal to the first grating sensor operation coefficient, the first compensation coefficient is selected as the compensation coefficient corresponding to the modified bridge warning threshold, and the product value of the first compensation coefficient and the modified bridge warning threshold is used as the compensated bridge warning threshold;

[0060] When the grating sensor operation coefficient is greater than the first grating sensor operation coefficient and less than or equal to the second grating sensor operation coefficient, the second compensation coefficient is selected as the compensation coefficient corresponding to the modified bridge warning threshold, and the product value of the second compensation coefficient and the modified bridge warning threshold is used as the compensated bridge warning threshold;

[0061] When the grating sensor operation coefficient is greater than the second grating sensor operation coefficient, the third compensation coefficient is selected as the compensation coefficient corresponding to the modified bridge warning threshold, and the product value of the third compensation coefficient and the modified bridge warning threshold is used as the compensated bridge warning threshold.

[0062] Furthermore, the warning level of the bridge to be detected is divided according to the compensation bridge warning threshold, and warning is performed according to the warning level, including:

[0063] Comparing the compensation bridge warning threshold with the first compensation bridge warning threshold and the second compensation bridge warning threshold, and dividing the warning level of the bridge to be detected according to the comparison results; wherein the first compensation bridge warning threshold is less than the second compensation bridge warning threshold;

[0064] When the compensation bridge warning threshold is less than or equal to the first compensation bridge warning threshold, determining that the warning level of the bridge to be detected is the first level;

[0065] When the compensation bridge warning threshold is greater than the first compensation bridge warning threshold and less than or equal to the second compensation bridge warning threshold, determining that the warning level of the bridge to be detected is the second level;

[0066] When the compensation bridge warning threshold is greater than the second compensation bridge warning threshold, it is determined that the warning level of the bridge to be detected is the third level;

[0067] The first level is smaller than the second level, and the second level is smaller than the third level.

[0068] Compared with the prior art, the beneficial effect of the present invention is that the bridge detection and early warning method based on grating sensors provided by the present invention can effectively improve the accuracy of bridge safety detection and the timeliness of early warning. By real-time monitoring of the key monitoring area and secondary monitoring area of ​​the bridge, combined with the high sensitivity of the grating sensor, it is possible to quickly capture the slight changes in the bridge structure, thereby issuing an early warning before the bridge is potentially dangerous, thus buying valuable time for the maintenance and repair of the bridge.

[0069] In another aspect, the present invention also proposes a bridge detection and early warning system based on a grating sensor, comprising:

[0070] A determination module is configured to determine a bridge to be detected, obtain construction parameter data of the bridge to be detected, and determine a bridge warning threshold according to the construction parameter data;

[0071] The coefficient calculation module is configured to divide the bridge to be detected into a plurality of key monitoring areas and a plurality of secondary monitoring areas based on the bridge to be detected and the construction parameter data, and deploy a grating sensor in each of the key monitoring areas and the secondary monitoring areas; collect historical optical signal records of the key monitoring areas, analyze the historical optical signal records, and calculate the regional deviation coefficient of the bridge to be detected based on the analysis results;

[0072] a judgment and correction module, configured to judge whether the bridge warning threshold needs to be corrected according to the regional deviation coefficient, and if so, set a correction coefficient corresponding to the bridge warning threshold to obtain a corrected bridge warning threshold;

[0073] The judgment and compensation module is configured to collect the real-time optical signal of the key monitoring area, recorded as the first real-time optical signal, and collect the real-time optical signal of the secondary monitoring area, recorded as the second real-time optical signal; analyze the first real-time optical signal and the second real-time optical signal, and judge whether to compensate the modified bridge warning threshold based on the analysis result, and if so, calculate the grating sensor operation coefficient of the bridge to be detected; set the compensation coefficient of the modified bridge warning threshold based on the grating sensor operation coefficient, and obtain the compensated bridge warning threshold;

[0074] The early warning module is configured to classify the early warning level of the bridge to be detected according to the compensation bridge early warning threshold, and issue an early warning according to the early warning level.

[0075] It is understandable that the above-mentioned bridge detection and early warning method and system based on grating sensors have the same beneficial effects, which will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0077] Figure 1 A flow chart of a bridge detection and early warning method based on a grating sensor provided in an embodiment of the present invention;

[0078] Figure 2 A structural block diagram of a bridge detection and early warning method based on a grating sensor provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0079] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0080] See also Figure 1 As shown, in some embodiments of the present application, this embodiment provides a bridge detection and early warning method based on a grating sensor, comprising the following steps:

[0081] S100: determining a bridge to be detected, obtaining construction parameter data of the bridge to be detected, and determining a bridge warning threshold according to the construction parameter data;

[0082] S200: Based on the bridge to be inspected and the construction parameter data, the bridge to be inspected is divided into a plurality of key monitoring areas and a plurality of secondary monitoring areas, and a grating sensor is deployed in each of the key monitoring areas and the secondary monitoring areas; historical optical signal records of the key monitoring areas are collected, the historical optical signal records are analyzed, and the regional deviation coefficient of the bridge to be inspected is calculated based on the analysis results;

[0083] S300: judging whether the bridge warning threshold needs to be corrected according to the regional deviation coefficient, and if so, setting a correction coefficient corresponding to the bridge warning threshold to obtain a corrected bridge warning threshold;

[0084] S400: collecting the real-time optical signal of the key monitoring area, recorded as the first real-time optical signal, collecting the real-time optical signal of the secondary monitoring area, recorded as the second real-time optical signal; analyzing the first real-time optical signal and the second real-time optical signal, and judging whether to compensate the modified bridge warning threshold based on the analysis result, and if so, calculating the grating sensor operation coefficient of the bridge to be detected;

[0085] S500: setting a compensation coefficient of the modified bridge warning threshold based on the grating sensor operation coefficient, and obtaining a compensated bridge warning threshold;

[0086] S600: Dividing the warning level of the bridge to be detected according to the compensation bridge warning threshold, and issuing a warning according to the warning level.

[0087] In this embodiment, the division of key monitoring areas and secondary monitoring areas is based on the importance of the bridge structure and the potential risk level. Key monitoring areas usually include the supporting structure, connection parts and areas with heavy traffic load of the bridge. Secondary monitoring areas include those areas with relatively stable structures and lower risks.

[0088] It can be seen that the bridge detection and early warning method based on grating sensors provided in this embodiment can effectively improve the accuracy of bridge safety detection and the timeliness of early warning. By real-time monitoring of the key monitoring areas and secondary monitoring areas of the bridge, combined with the high sensitivity of the grating sensor, it is possible to quickly capture the slight changes in the bridge structure, thereby issuing an early warning before the bridge is potentially dangerous, thus buying valuable time for the maintenance and repair of the bridge.

[0089] Specifically, when determining the bridge warning threshold according to the construction parameter data, it includes:

[0090] The construction parameter data include bridge design load, bridge load area, bridge materials and construction environment data;

[0091] The bridge warning threshold is obtained by the following formula:

[0092]

[0093] in, represents the bridge warning threshold; represents the bridge design load; Indicates the bridge load area; Indicates the strength of the material used in the bridge; It represents the construction environment coefficient; Indicates the safety factor.

[0094] In this embodiment, the construction environment coefficient Ce is determined according to the specific environmental conditions of the bridge, such as temperature, humidity, wind speed, seismic activity, etc. These factors will affect the structural safety of the bridge, so they must be considered when calculating the warning threshold. The safety factor α is a conservative value used to ensure the safety of the bridge under the most unfavorable conditions, which is usually determined by relevant engineering standards or specifications.

[0095] Specifically, the historical optical signal records are analyzed, and the regional deviation coefficient of the bridge to be detected is calculated based on the analysis results, including:

[0096] Extracting historical wavelength offset records from the historical optical signal records, analyzing the historical wavelength offset records, and obtaining normal wavelength offset data and abnormal wavelength offset data;

[0097] Determine the wavelength impact factor corresponding to each of the abnormal wavelength deviation data, and construct a wavelength impact factor sequence;

[0098] Counting the number of the normal wavelength shift data, recorded as a normal number, and counting the number of the abnormal wavelength shift data, recorded as an abnormal number;

[0099] Calculate the regional deviation coefficient of the bridge to be detected according to the wavelength influencing factor sequence, the normal number and the abnormal number;

[0100] The regional deviation coefficient is obtained by the following formula:

[0101]

[0102] in, represents the regional deviation coefficient; 1 indicates normal quantity; Indicates the number of abnormalities; represents the i-th wavelength impact factor in the wavelength impact factor sequence; Representation and The corresponding wavelength offset data value.

[0103] It can be understood that by calculating the regional deviation coefficient C, the structural health status of the bridge in different monitoring areas can be quantified, providing a scientific basis for the subsequent correction of the warning threshold.

[0104] Specifically, determining the wavelength impact factor corresponding to each abnormal wavelength shift data includes:

[0105] Extracting an actual wavelength offset corresponding to each abnormal wavelength offset data, obtaining an actual wavelength offset threshold, and calculating a first wavelength offset difference according to the actual wavelength offset and the actual wavelength offset threshold;

[0106] Analyze the normal wavelength offset data, determine the wavelength offset corresponding to each normal wavelength offset data, and extract the maximum wavelength offset;

[0107] Calculate a second wavelength shift difference according to the actual wavelength shift and the maximum wavelength shift;

[0108] The wavelength impact factor corresponding to each abnormal wavelength shift data is calculated based on the first wavelength shift difference and the second wavelength shift difference.

[0109] In this embodiment, the determination of the actual wavelength offset threshold is based on the wavelength offset range of the bridge under normal working conditions. The analysis of normal wavelength offset data and the extraction of the maximum wavelength offset are to establish a reference standard, so as to more accurately evaluate the impact of abnormal wavelength offset data on the safety of the bridge structure.

[0110] In this embodiment, the wavelength influence factor is obtained by the following formula:

[0111]

[0112] in, represents the wavelength influence factor; represents the first wavelength offset difference corresponding to the i-th abnormal wavelength offset data; represents the second wavelength offset difference corresponding to the i-th abnormal wavelength offset data; represents the maximum value of the first wavelength shift difference; represents the maximum value of the second wavelength shift difference; A threshold representing a first wavelength shift difference; A threshold representing the second wavelength shift difference.

[0113] It can be understood that, through the above calculation method, the wavelength influence factor W can reflect the degree of deviation of each abnormal wavelength offset data relative to the normal wavelength offset range, thereby providing a quantitative indicator for the health status assessment of the bridge structure.

[0114] Specifically, judging whether the bridge warning threshold needs to be corrected according to the regional deviation coefficient includes:

[0115] Comparing the regional deviation coefficient with the regional deviation coefficient threshold, and judging whether it is necessary to correct the bridge warning threshold according to the comparison result;

[0116] When the regional deviation coefficient is less than or equal to the regional deviation coefficient threshold, it is determined that the bridge warning threshold does not need to be corrected;

[0117] When the regional deviation coefficient is greater than the regional deviation coefficient threshold, it is determined that the bridge warning threshold needs to be corrected;

[0118] When it is determined that the bridge warning threshold needs to be corrected, a correction coefficient interval is pre-set, wherein the correction coefficient interval includes a first correction coefficient, a second correction coefficient and a third correction coefficient;

[0119] Calculating a deviation ratio between the regional deviation coefficient and the regional deviation coefficient threshold;

[0120] When the deviation ratio is greater than 1 and less than or equal to 1.15, the first correction coefficient is selected as the correction coefficient corresponding to the bridge warning threshold, and the product value of the first correction coefficient and the bridge warning threshold is used as the corrected bridge warning threshold;

[0121] When the deviation ratio is greater than 1.15 and less than or equal to 1.35, the second correction coefficient is selected as the correction coefficient corresponding to the bridge warning threshold, and the product value of the second correction coefficient and the bridge warning threshold is used as the corrected bridge warning threshold;

[0122] When the deviation ratio is greater than 1.35, the third correction coefficient is selected as the correction coefficient corresponding to the bridge warning threshold, and the product value of the third correction coefficient and the bridge warning threshold is used as the corrected bridge warning threshold.

[0123] It is understandable that in this embodiment, the regional deviation coefficient threshold is set according to the specific requirements of the bridge structure and the historical safety record. It represents the maximum deviation range that the bridge can withstand under normal operating conditions. If the regional deviation coefficient is lower than this threshold, it means that the structural health of the bridge is good and there is no need to adjust the warning threshold; on the contrary, if the regional deviation coefficient is close to or exceeds this threshold, it indicates that the bridge may have potential safety hazards and the warning threshold needs to be corrected to improve the sensitivity of the warning.

[0124] Specifically, the first real-time optical signal and the second real-time optical signal are analyzed, and based on the analysis result, it is determined whether to compensate the modified bridge warning threshold, including:

[0125] Determine a light intensity change value corresponding to the first real-time optical signal, recorded as a first light intensity change value, and determine a corresponding first light intensity change standard value;

[0126] Determine a light intensity change value corresponding to the second real-time optical signal, recorded as a second light intensity change value, and determine a corresponding second light intensity change standard value;

[0127] When all of the first light intensity change values ​​are less than or equal to the first light intensity change standard value, and all of the second light intensity change values ​​are less than or equal to the second light intensity change standard value, it is determined that the modified bridge warning threshold does not need to be compensated;

[0128] When there is the first light intensity change value greater than the first light intensity change standard value and / or there is the second light intensity change value greater than the second light intensity change standard value, it is determined that the modified bridge warning threshold needs to be compensated.

[0129] In this embodiment, the first light intensity change standard value and the second light intensity change standard value are set according to the light intensity change range of the bridge under normal operating conditions. These standard values ​​can help us distinguish the difference in light intensity change between the normal operating conditions and the potential danger conditions of the bridge, thereby providing a basis for the decision-making of the early warning system.

[0130] Specifically, the calculation of the grating sensor operation coefficient of the bridge to be detected includes:

[0131] Extracting all first light intensity change values ​​that are greater than the first light intensity change standard value, and calculating the first light intensity change difference between each of the first light intensity change values ​​and the first light intensity change standard value;

[0132] Determine all first light intensity change difference values, and generate a first light intensity change difference value set according to all first light intensity change difference values ​​greater than a first light intensity change difference value threshold value;

[0133] Extracting all second light intensity change values ​​greater than the second light intensity change standard value, and calculating the second light intensity change difference between each of the second light intensity change values ​​and the second light intensity change standard value;

[0134] Determine all second light intensity change difference values, and generate a second light intensity change difference value set according to all second light intensity change difference values ​​greater than a second light intensity change difference value threshold value;

[0135] respectively calculating a first average light intensity change difference value of the first light intensity change difference value set and a second average light intensity change difference value of the second light intensity change difference value set;

[0136] Calculating the grating sensor operation coefficient based on the first average light intensity change difference and the second average light intensity change difference;

[0137] The grating sensor operating coefficient is obtained by the following formula:

[0138]

[0139] in, Indicates the grating sensor operating coefficient; represents the first weight coefficient; represents the number of first light intensity change difference values ​​in the first light intensity change difference value set; represents the kth first light intensity change difference in the first light intensity change difference set; represents the second weight coefficient; represents the number of second light intensity change difference values ​​in the second light intensity change difference value set; Represents the kth second light intensity change difference in the second light intensity change difference set.

[0140] In this embodiment, the first weight coefficient γ and the second weight coefficient δ are determined based on the importance of the grating sensors in different monitoring areas. Generally, the sensors in the key monitoring areas have a greater impact on the safety of the bridge, so their weight coefficients will be set higher. Through such weight distribution, it can be ensured that the early warning system can more accurately reflect the actual operating conditions of the bridge when calculating the grating sensor operating coefficient.

[0141] Specifically, the compensation coefficient of the modified bridge warning threshold is set based on the grating sensor operation coefficient, and the compensated bridge warning threshold is obtained, including:

[0142] Setting a compensation coefficient interval, wherein the compensation coefficient interval includes a first compensation coefficient, a second compensation coefficient, and a third compensation coefficient;

[0143] Comparing the grating sensor operation coefficient with the first grating sensor operation coefficient and the second grating sensor operation coefficient, and determining the compensation coefficient of the modified bridge warning threshold according to the comparison result; wherein the first grating sensor operation coefficient is less than the second grating sensor operation coefficient;

[0144] When the grating sensor operation coefficient is less than or equal to the first grating sensor operation coefficient, the first compensation coefficient is selected as the compensation coefficient corresponding to the modified bridge warning threshold, and the product value of the first compensation coefficient and the modified bridge warning threshold is used as the compensated bridge warning threshold;

[0145] When the grating sensor operation coefficient is greater than the first grating sensor operation coefficient and less than or equal to the second grating sensor operation coefficient, the second compensation coefficient is selected as the compensation coefficient corresponding to the modified bridge warning threshold, and the product value of the second compensation coefficient and the modified bridge warning threshold is used as the compensated bridge warning threshold;

[0146] When the grating sensor operation coefficient is greater than the second grating sensor operation coefficient, the third compensation coefficient is selected as the compensation coefficient corresponding to the modified bridge warning threshold, and the product value of the third compensation coefficient and the modified bridge warning threshold is used as the compensated bridge warning threshold.

[0147] It can be understood that, in this embodiment, the first grating sensor operation coefficient and the second grating sensor operation coefficient are set according to the grating sensor operation conditions of the bridge under different working conditions. These coefficients can help evaluate the difference in grating sensor operation under normal and abnormal conditions of the bridge, thereby providing a scientific basis for the compensation of the warning threshold.

[0148] Specifically, the warning level of the bridge to be detected is divided according to the compensation bridge warning threshold, and warning is performed according to the warning level, including:

[0149] Comparing the compensation bridge warning threshold with the first compensation bridge warning threshold and the second compensation bridge warning threshold, and dividing the warning level of the bridge to be detected according to the comparison results; wherein the first compensation bridge warning threshold is less than the second compensation bridge warning threshold;

[0150] When the compensation bridge warning threshold is less than or equal to the first compensation bridge warning threshold, determining that the warning level of the bridge to be detected is the first level;

[0151] When the compensation bridge warning threshold is greater than the first compensation bridge warning threshold and less than or equal to the second compensation bridge warning threshold, determining that the warning level of the bridge to be detected is the second level;

[0152] When the compensation bridge warning threshold is greater than the second compensation bridge warning threshold, it is determined that the warning level of the bridge to be detected is the third level;

[0153] The first level is smaller than the second level, and the second level is smaller than the third level.

[0154] In this embodiment, the first, second and third level warning levels correspond to different safety conditions of the bridge. The first level usually means that the bridge is in a safe state and can continue to be used; the second level may mean that the bridge has certain safety hazards and needs further inspection and maintenance; the third level means that the bridge has serious safety problems and immediate measures may be required, such as restricting traffic flow or making emergency repairs.

[0155] In this embodiment, after the warning level of the bridge to be inspected is determined, the specific operations of issuing warnings according to the warning level include: when the warning level of the bridge to be inspected is the first level, a safety notification is sent to the bridge management personnel through the warning system, prompting that the bridge is currently in normal operation but requires continuous monitoring; when the warning level of the bridge to be inspected is the second level, the warning system will issue a warning signal and recommend that the bridge management personnel conduct regular inspections and necessary maintenance work to prevent potential safety risks; when the warning level of the bridge to be inspected is the third level, the warning system will issue an emergency alarm and recommend immediate measures, such as restricting or closing bridge traffic, and initiating emergency repair procedures to ensure the safety of the bridge structure.

[0156] It can be understood that through this hierarchical early warning mechanism, bridge management personnel can be effectively guided to take corresponding measures according to the actual conditions of the bridge, thereby ensuring the safety of bridge use and extending its service life.

[0157] See also Figure 2 As shown, in some embodiments of the present application, this embodiment provides a bridge detection and warning system based on a grating sensor, including:

[0158] A determination module is configured to determine a bridge to be detected, obtain construction parameter data of the bridge to be detected, and determine a bridge warning threshold according to the construction parameter data;

[0159] The coefficient calculation module is configured to divide the bridge to be detected into a plurality of key monitoring areas and a plurality of secondary monitoring areas based on the bridge to be detected and the construction parameter data, and deploy a grating sensor in each of the key monitoring areas and the secondary monitoring areas; collect historical optical signal records of the key monitoring areas, analyze the historical optical signal records, and calculate the regional deviation coefficient of the bridge to be detected based on the analysis results;

[0160] a judgment and correction module, configured to judge whether the bridge warning threshold needs to be corrected according to the regional deviation coefficient, and if so, set a correction coefficient corresponding to the bridge warning threshold to obtain a corrected bridge warning threshold;

[0161] The judgment and compensation module is configured to collect the real-time optical signal of the key monitoring area, recorded as the first real-time optical signal, and collect the real-time optical signal of the secondary monitoring area, recorded as the second real-time optical signal; analyze the first real-time optical signal and the second real-time optical signal, and judge whether to compensate the modified bridge warning threshold based on the analysis result, and if so, calculate the grating sensor operation coefficient of the bridge to be detected; set the compensation coefficient of the modified bridge warning threshold based on the grating sensor operation coefficient, and obtain the compensated bridge warning threshold;

[0162] The early warning module is configured to classify the early warning level of the bridge to be detected according to the compensation bridge early warning threshold, and issue an early warning according to the early warning level.

[0163] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0164] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0165] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0166] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0167] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A bridge detection and early warning method based on grating sensor, characterized in that: include: Determine a bridge to be detected, obtain construction parameter data of the bridge to be detected, and determine a bridge warning threshold according to the construction parameter data; Based on the bridge to be inspected and the construction parameter data, the bridge to be inspected is divided into a number of key monitoring areas and a number of secondary monitoring areas, and a grating sensor is deployed in each of the key monitoring areas and the secondary monitoring areas; historical optical signal records of the key monitoring areas are collected, the historical optical signal records are analyzed, and the regional deviation coefficient of the bridge to be inspected is calculated based on the analysis results; Determining whether the bridge warning threshold needs to be corrected according to the regional deviation coefficient, and if so, setting a correction coefficient corresponding to the bridge warning threshold to obtain a corrected bridge warning threshold; Collecting the real-time optical signal of the key monitoring area, recorded as the first real-time optical signal, collecting the real-time optical signal of the secondary monitoring area, recorded as the second real-time optical signal; Analyze the first real-time optical signal and the second real-time optical signal, and determine whether to compensate the modified bridge warning threshold based on the analysis result, and if so, calculate the grating sensor operation coefficient of the bridge to be detected; Setting a compensation coefficient of the modified bridge warning threshold based on the grating sensor operation coefficient, and obtaining a compensated bridge warning threshold; The warning level of the bridge to be detected is divided according to the compensation bridge warning threshold, and a warning is issued according to the warning level.

2. The bridge detection and early warning method based on grating sensor according to claim 1 is characterized in that: When determining the bridge warning threshold according to the construction parameter data, it includes: The construction parameter data include bridge design load, bridge load area, bridge materials and construction environment data; The bridge warning threshold is obtained by the following formula: in, represents the bridge warning threshold; represents the bridge design load; It represents the bridge load area; Indicates the strength of the material used in the bridge; It represents the construction environment coefficient; Indicates the safety factor.

3. The bridge detection and early warning method based on grating sensor according to claim 1 is characterized in that: Analyzing the historical optical signal records and calculating the regional deviation coefficient of the bridge to be detected based on the analysis results includes: Extracting historical wavelength offset records from the historical optical signal records, analyzing the historical wavelength offset records, and obtaining normal wavelength offset data and abnormal wavelength offset data; Determine the wavelength impact factor corresponding to each of the abnormal wavelength deviation data, and construct a wavelength impact factor sequence; Counting the number of the normal wavelength shift data, recorded as a normal number, and counting the number of the abnormal wavelength shift data, recorded as an abnormal number; Calculate the regional deviation coefficient of the bridge to be detected according to the wavelength influencing factor sequence, the normal number and the abnormal number; The regional deviation coefficient is obtained by the following formula: in, represents the regional deviation coefficient; 1 indicates normal quantity; Indicates the number of abnormalities; represents the i-th wavelength impact factor in the wavelength impact factor sequence; Representation and The corresponding wavelength offset data value.

4. The bridge detection and early warning method based on grating sensor according to claim 3 is characterized in that: Determining the wavelength impact factor corresponding to each abnormal wavelength shift data includes: Extracting an actual wavelength offset corresponding to each abnormal wavelength offset data, obtaining an actual wavelength offset threshold, and calculating a first wavelength offset difference according to the actual wavelength offset and the actual wavelength offset threshold; Analyze the normal wavelength offset data, determine the wavelength offset corresponding to each normal wavelength offset data, and extract the maximum wavelength offset; Calculate a second wavelength shift difference according to the actual wavelength shift and the maximum wavelength shift; The wavelength impact factor corresponding to each abnormal wavelength shift data is calculated based on the first wavelength shift difference and the second wavelength shift difference.

5. The bridge detection and early warning method based on grating sensor according to claim 1 is characterized in that: When judging whether it is necessary to modify the bridge warning threshold according to the regional deviation coefficient, it includes: Comparing the regional deviation coefficient with the regional deviation coefficient threshold, and judging whether it is necessary to correct the bridge warning threshold according to the comparison result; When the regional deviation coefficient is less than or equal to the regional deviation coefficient threshold, it is determined that the bridge warning threshold does not need to be corrected; When the regional deviation coefficient is greater than the regional deviation coefficient threshold, it is determined that the bridge warning threshold needs to be corrected; When it is determined that the bridge warning threshold needs to be corrected, a correction coefficient interval is pre-set, wherein the correction coefficient interval includes a first correction coefficient, a second correction coefficient and a third correction coefficient; Calculating a deviation ratio between the regional deviation coefficient and the regional deviation coefficient threshold; When the deviation ratio is greater than 1 and less than or equal to 1.15, the first correction coefficient is selected as the correction coefficient corresponding to the bridge warning threshold, and the product value of the first correction coefficient and the bridge warning threshold is used as the corrected bridge warning threshold; When the deviation ratio is greater than 1.15 and less than or equal to 1.35, the second correction coefficient is selected as the correction coefficient corresponding to the bridge warning threshold, and the product value of the second correction coefficient and the bridge warning threshold is used as the corrected bridge warning threshold; When the deviation ratio is greater than 1.35, the third correction coefficient is selected as the correction coefficient corresponding to the bridge warning threshold, and the product value of the third correction coefficient and the bridge warning threshold is used as the corrected bridge warning threshold.

6. The bridge detection and early warning method based on grating sensor according to claim 1 is characterized in that: The first real-time optical signal and the second real-time optical signal are analyzed, and based on the analysis result, it is determined whether to compensate the modified bridge warning threshold, including: Determine a light intensity change value corresponding to the first real-time optical signal, recorded as a first light intensity change value, and determine a corresponding first light intensity change standard value; Determine a light intensity change value corresponding to the second real-time optical signal, recorded as a second light intensity change value, and determine a corresponding second light intensity change standard value; When all of the first light intensity change values ​​are less than or equal to the first light intensity change standard value, and all of the second light intensity change values ​​are less than or equal to the second light intensity change standard value, it is determined that the modified bridge warning threshold does not need to be compensated; When there is the first light intensity change value greater than the first light intensity change standard value and / or there is the second light intensity change value greater than the second light intensity change standard value, it is determined that the modified bridge warning threshold needs to be compensated.

7. The bridge detection and early warning method based on grating sensor according to claim 6 is characterized in that: When calculating the operating coefficient of the grating sensor of the bridge to be detected, it includes: Extracting all first light intensity change values ​​that are greater than the first light intensity change standard value, and calculating the first light intensity change difference between each of the first light intensity change values ​​and the first light intensity change standard value; Determine all first light intensity change difference values, and generate a first light intensity change difference value set according to all first light intensity change difference values ​​greater than a first light intensity change difference value threshold value; Extracting all second light intensity change values ​​greater than the second light intensity change standard value, and calculating the second light intensity change difference between each of the second light intensity change values ​​and the second light intensity change standard value; Determine all second light intensity change difference values, and generate a second light intensity change difference value set according to all second light intensity change difference values ​​greater than a second light intensity change difference value threshold value; respectively calculating a first average light intensity change difference value of the first light intensity change difference value set and a second average light intensity change difference value of the second light intensity change difference value set; Calculating the grating sensor operation coefficient based on the first average light intensity change difference and the second average light intensity change difference; The grating sensor operating coefficient is obtained by the following formula: in, Indicates the grating sensor operating coefficient; represents the first weight coefficient; represents the number of first light intensity change difference values ​​in the first light intensity change difference value set; represents the kth first light intensity change difference in the first light intensity change difference set; represents the second weight coefficient; represents the number of second light intensity change difference values ​​in the second light intensity change difference value set; Represents the kth second light intensity change difference in the second light intensity change difference set.

8. The bridge detection and early warning method based on grating sensor according to claim 1 is characterized in that: When the compensation coefficient of the modified bridge warning threshold is set based on the grating sensor operation coefficient and the compensated bridge warning threshold is obtained, it includes: Setting a compensation coefficient interval, wherein the compensation coefficient interval includes a first compensation coefficient, a second compensation coefficient, and a third compensation coefficient; Comparing the grating sensor operation coefficient with the first grating sensor operation coefficient and the second grating sensor operation coefficient, and determining the compensation coefficient of the modified bridge warning threshold according to the comparison result; wherein the first grating sensor operation coefficient is less than the second grating sensor operation coefficient; When the grating sensor operation coefficient is less than or equal to the first grating sensor operation coefficient, the first compensation coefficient is selected as the compensation coefficient corresponding to the modified bridge warning threshold, and the product value of the first compensation coefficient and the modified bridge warning threshold is used as the compensated bridge warning threshold; When the grating sensor operation coefficient is greater than the first grating sensor operation coefficient and less than or equal to the second grating sensor operation coefficient, the second compensation coefficient is selected as the compensation coefficient corresponding to the modified bridge warning threshold, and the product value of the second compensation coefficient and the modified bridge warning threshold is used as the compensated bridge warning threshold; When the grating sensor operation coefficient is greater than the second grating sensor operation coefficient, the third compensation coefficient is selected as the compensation coefficient corresponding to the modified bridge warning threshold, and the product value of the third compensation coefficient and the modified bridge warning threshold is used as the compensated bridge warning threshold.

9. The bridge detection and early warning method based on grating sensor according to claim 1 is characterized in that: The warning level of the bridge to be detected is divided according to the compensation bridge warning threshold, and warning is performed according to the warning level, including: Comparing the compensation bridge warning threshold with the first compensation bridge warning threshold and the second compensation bridge warning threshold, and dividing the warning level of the bridge to be detected according to the comparison results; wherein the first compensation bridge warning threshold is less than the second compensation bridge warning threshold; When the compensation bridge warning threshold is less than or equal to the first compensation bridge warning threshold, determining that the warning level of the bridge to be detected is the first level; When the compensation bridge warning threshold is greater than the first compensation bridge warning threshold and less than or equal to the second compensation bridge warning threshold, determining that the warning level of the bridge to be detected is the second level; When the compensation bridge warning threshold is greater than the second compensation bridge warning threshold, it is determined that the warning level of the bridge to be detected is the third level; The first level is smaller than the second level, and the second level is smaller than the third level.

10. A bridge detection and early warning system based on a grating sensor, applied to the bridge detection and early warning method based on a grating sensor as claimed in any one of claims 1 to 9, characterized in that: include: A determination module is configured to determine a bridge to be detected, obtain construction parameter data of the bridge to be detected, and determine a bridge warning threshold according to the construction parameter data; The coefficient calculation module is configured to divide the bridge to be detected into a plurality of key monitoring areas and a plurality of secondary monitoring areas based on the bridge to be detected and the construction parameter data, and deploy a grating sensor in each of the key monitoring areas and the secondary monitoring areas; collect historical optical signal records of the key monitoring areas, analyze the historical optical signal records, and calculate the regional deviation coefficient of the bridge to be detected based on the analysis results; a judgment and correction module, configured to judge whether the bridge warning threshold needs to be corrected according to the regional deviation coefficient, and if so, set a correction coefficient corresponding to the bridge warning threshold to obtain a corrected bridge warning threshold; A judgment and compensation module is configured to collect the real-time optical signal of the key monitoring area, recorded as a first real-time optical signal, and collect the real-time optical signal of the secondary monitoring area, recorded as a second real-time optical signal; Analyze the first real-time optical signal and the second real-time optical signal, and determine whether to compensate the modified bridge warning threshold based on the analysis result, and if so, calculate the grating sensor operation coefficient of the bridge to be detected; Setting a compensation coefficient of the modified bridge warning threshold based on the grating sensor operation coefficient, and obtaining a compensated bridge warning threshold; The early warning module is configured to classify the early warning level of the bridge to be detected according to the compensation bridge early warning threshold, and issue an early warning according to the early warning level.

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