CN119334260B - A bridge detection and early warning method and system based on grating sensor - Google Patents

Abstract

The invention relates to the technical field of bridge detection and discloses a bridge detection early warning method and system based on a grating sensor, wherein the method comprises the steps of determining a bridge to be detected, acquiring construction parameter data of the bridge to be detected, and determining a bridge early warning threshold value according to the construction parameter data; the method comprises the steps of collecting historical optical signal records of a key monitoring area, analyzing the historical optical signal records, calculating area deviation coefficients of a bridge to be detected based on analysis results, judging whether the bridge early warning threshold needs to be corrected according to the area deviation coefficients, setting correction coefficients corresponding to the bridge early warning threshold and obtaining a corrected bridge early warning threshold if the bridge early warning threshold needs to be corrected, setting compensation coefficients of the corrected bridge early warning threshold based on the grating sensor operation coefficients and obtaining a compensated bridge early warning threshold, dividing early warning levels of the bridge to be detected according to the compensated bridge early warning threshold, and carrying out early warning according to the early warning levels. The method and the device can effectively improve the accuracy of bridge safety detection and the timeliness of early warning.

Description

Bridge detection early warning method and system based on grating sensor

Technical Field

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

Background

The grating sensor is a high-precision sensor for measuring displacement based on the grating stacking grating principle, and is easy to realize automation. The sensor consists of a scale grating, an indication grating, an optical path system and a measuring system. When the scale grating moves relative to the indication grating, overlapping grating fringes with alternate light and dark which approximately follow the sine rule distribution are generated. The stripes move along with the relative movement speed of the grating, and are converted into electric pulse signals through the photoelectric element, so that digital signals are output to display the measured displacement.

Bridge detection is a key link of infrastructure maintenance, and the bridge safety condition directly relates to life and property safety of people and stable operation of socioeconomic.

In the past bridge inspection practice, people often rely on manual inspection to evaluate bridge health. Not only is this method inefficient, but it is often difficult to ensure the comprehensiveness and accuracy of the detection process due to human limitations.

Therefore, it is necessary to design a bridge detection and early warning method and system based on a grating sensor to solve the problems existing in the current technology.

Disclosure of Invention

In view of the above, the invention provides a bridge detection early warning method and system based on a grating sensor, which aim to solve the problems of low bridge detection efficiency and low accuracy in the prior art.

In one aspect, the invention provides a bridge detection and early warning method based on a grating sensor, which comprises the following steps:

S100, determining a bridge to be detected, acquiring construction parameter data of the bridge to be detected, and determining a bridge early warning threshold according to the construction parameter data;

S200, dividing 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 construction parameter data, and disposing a grating sensor in each key monitoring area and each secondary monitoring area;

S300, judging whether the bridge early warning threshold needs to be corrected according to the regional deviation coefficient, if so, setting a correction coefficient corresponding to the bridge early warning threshold, and obtaining a corrected bridge early warning threshold;

S400, collecting real-time optical signals of the key monitoring area, recording the real-time optical signals as first real-time optical signals, collecting real-time optical signals of the secondary monitoring area, recording the real-time optical signals as second real-time optical signals, analyzing the first real-time optical signals and the second real-time optical signals, judging whether to compensate the correction bridge early warning threshold value or not based on analysis results, and if yes, calculating the grating sensor operation coefficient of the bridge to be detected;

S500, setting a compensation coefficient of the corrected bridge early warning threshold value based on the operation coefficient of the grating sensor, and obtaining the compensated bridge early warning threshold value;

And S600, dividing the early warning level of the bridge to be detected according to the early warning threshold value of the compensation bridge, and carrying out early warning according to the early warning level.

Further, when determining the bridge early warning threshold according to the construction parameter data, the method comprises the following steps:

The construction parameter data comprise bridge design load, bridge stress area, bridge use materials and construction environment data;

the bridge early warning threshold is obtained by the following formula:

Wherein,Representing a bridge early warning threshold; representing bridge design loads; representing the stress area of the bridge; Representing the strength of the bridge material; representing the construction environment coefficient; Representing a safety factor.

Further, analyzing the historical optical signal record, and calculating the regional deviation coefficient of the bridge to be detected based on the analysis result comprises the following steps:

Extracting a historical wavelength shift record in the historical optical signal record, and analyzing the historical wavelength shift record to obtain normal wavelength shift data and abnormal wavelength shift data;

determining a wavelength influence factor corresponding to each abnormal wavelength shift data, and constructing a wavelength influence factor sequence;

Counting the number of the normal wavelength shift data, marking the number as the normal number, counting the number of the abnormal wavelength shift data, and marking the number as the abnormal number;

Calculating the regional deviation coefficient of the bridge to be detected according to the wavelength influence factor sequence, the normal quantity and the abnormal quantity;

The region deviation coefficient is obtained by the following formula:

Wherein,Representing the regional deviation coefficient; 1 represents a normal number; representing the number of anomalies; Representing an ith wavelength influence factor in the sequence of wavelength influence factors; Representation and representationThe corresponding number of wavelength shift data.

Further, when determining the wavelength influence factor corresponding to each abnormal wavelength shift data, the method 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 value according to the actual wavelength offset and the actual wavelength offset threshold;

analyzing the normal wavelength offset data, determining the wavelength offset corresponding to each normal wavelength offset data, and extracting the maximum wavelength offset;

Calculating a second wavelength shift difference value according to the actual wavelength shift amount and the maximum wavelength shift amount;

and calculating a wavelength influence factor corresponding to each abnormal wavelength shift data based on the first wavelength shift difference value and the second wavelength shift difference value.

Further, judging whether the bridge early warning threshold needs to be corrected according to the regional deviation coefficient comprises the following steps:

Comparing the regional deviation coefficient with a regional deviation coefficient threshold value, and judging whether the bridge early warning threshold value needs to be corrected according to the comparison result;

When the regional deviation coefficient is smaller than or equal to the regional deviation coefficient threshold value, judging that the bridge early warning threshold value does not need to be corrected;

When the regional deviation coefficient is larger than the regional deviation coefficient threshold, judging that the bridge early warning threshold needs to be corrected;

When the bridge early warning threshold is judged to be required to be corrected, a correction coefficient interval is preset, wherein the correction coefficient interval comprises a first correction coefficient, a second correction coefficient and a third correction coefficient;

Calculating the deviation value of 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, selecting the first correction coefficient as a correction coefficient corresponding to the bridge early warning threshold value, and taking the product value of the first correction coefficient and the bridge early warning threshold value as a correction bridge early warning threshold value;

When the deviation ratio is greater than 1.15 and less than or equal to 1.35, selecting the second correction coefficient as the correction coefficient corresponding to the bridge early warning threshold value, and taking the product value of the second correction coefficient and the bridge early warning threshold value as a correction bridge early warning threshold value;

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

Further, analyzing the first real-time optical signal and the second real-time optical signal, and judging whether to compensate the corrected bridge early warning threshold based on the analysis result includes:

Determining a light intensity change value corresponding to the first real-time optical signal, recording the light intensity change value as a first light intensity change value, and determining a corresponding first light intensity change standard value;

determining a light intensity change value corresponding to the second real-time optical signal, recording the light intensity change value as a second light intensity change value, and determining a corresponding second light intensity change standard value;

When all the first light intensity variation values are smaller than or equal to the first light intensity variation standard value and all the second light intensity variation values are smaller than or equal to the second light intensity variation standard value, judging that compensation on the correction bridge early warning threshold value is not needed;

And when the first light intensity variation value larger than the first light intensity variation standard value and/or the second light intensity variation value larger than the second light intensity variation standard value exist, judging that the correction bridge early warning threshold value needs to be compensated.

Further, when calculating the operation coefficient of the grating sensor of the bridge to be detected, the method comprises the following steps:

Extracting all first light intensity variation values larger than a first light intensity variation standard value, and calculating a first light intensity variation difference value of each first light intensity variation value and the first light intensity variation standard value;

determining all first light intensity variation differences, and generating a first light intensity variation difference set according to all first light intensity variation differences larger than a first light intensity variation difference threshold;

Extracting all second light intensity variation values larger than a second light intensity variation standard value, and calculating a second light intensity variation difference value of each second light intensity variation value and the second light intensity variation standard value;

Determining all second light intensity variation differences, and generating a second light intensity variation difference set according to all second light intensity variation differences larger than a second light intensity variation difference threshold;

Respectively calculating a first average light intensity variation difference value of the first light intensity variation difference value set, and a second average light intensity variation difference value of the second light intensity variation difference value set;

Calculating the grating sensor operation coefficient based on the first average light intensity variation difference value and the second average light intensity variation difference value;

The grating sensor operation coefficient is obtained by the following formula:

Wherein,Representing the operation coefficient of the grating sensor; representing a first weight coefficient; Representing the number of first light intensity variation differences in the first set of light intensity variation differences; Representing a kth first light intensity variation difference value in the first set of light intensity variation difference values; representing a second weight coefficient; Representing the number of second light intensity variation differences in the second set of light intensity variation differences; Representing the kth second light intensity variation difference value in the second set of light intensity variation difference values.

Further, setting a compensation coefficient of the corrected bridge early warning threshold based on the operation coefficient of the grating sensor, and obtaining the compensated bridge early warning threshold includes:

setting a compensation coefficient interval, wherein the compensation coefficient interval comprises a first compensation coefficient, a second compensation coefficient and a third compensation coefficient;

comparing the grating sensor operation coefficient with a first grating sensor operation coefficient and a second grating sensor operation coefficient, and determining a compensation coefficient of the correction bridge early warning threshold according to the comparison result, wherein the first grating sensor operation coefficient is smaller than the second grating sensor operation coefficient;

when the operation coefficient of the grating sensor is smaller than or equal to the operation coefficient of the first grating sensor, selecting the first compensation coefficient as a compensation coefficient corresponding to the correction bridge early warning threshold value, and taking the product value of the first compensation coefficient and the correction bridge early warning threshold value as a correction bridge early warning threshold value;

when the operation coefficient of the grating sensor is larger than the operation coefficient of the first grating sensor and smaller than or equal to the operation coefficient of the second grating sensor, selecting the second compensation coefficient as a compensation coefficient corresponding to the correction bridge early warning threshold value, and taking the product value of the second compensation coefficient and the correction bridge early warning threshold value as a correction bridge early warning threshold value;

when the operation coefficient of the grating sensor is larger than the operation coefficient of the second grating sensor, the third compensation coefficient is selected as a compensation coefficient corresponding to the correction bridge early warning threshold value, and the product value of the third compensation coefficient and the correction bridge early warning threshold value is used as the correction bridge early warning threshold value.

Further, dividing the early warning level of the bridge to be detected according to the early warning threshold value of the compensation bridge, and when early warning is performed according to the early warning level, the method comprises the following steps:

Comparing the compensation bridge early warning threshold with a first compensation bridge early warning threshold and a second compensation bridge early warning threshold, and dividing the early warning level of the bridge to be detected according to the comparison result, wherein the first compensation bridge early warning threshold is smaller than the second compensation bridge early warning threshold;

When the compensation bridge early warning threshold value is smaller than or equal to the first compensation bridge early warning threshold value, determining that the early warning level of the bridge to be detected is a first level;

When the compensation bridge early warning threshold value is larger than the first compensation bridge early warning threshold value and smaller than or equal to the second compensation bridge early warning threshold value, determining the early warning level of the bridge to be detected as a second level;

when the compensation bridge early warning threshold value is larger than the second compensation bridge early warning threshold value, determining that the early warning level of the bridge to be detected is a third level;

Wherein the first level is less than the second level, and the second level is less than the third level.

Compared with the prior art, the bridge detection early warning method based on the grating sensor has the beneficial effects that the accuracy of bridge safety detection and the timeliness of early warning can be effectively improved. By monitoring the key monitoring area and the secondary monitoring area of the bridge in real time and combining the high sensitivity characteristic of the grating sensor, the micro change of the bridge structure can be quickly captured, so that early warning is sent out before the bridge is potentially dangerous, and precious time is striven for maintenance and repair of the bridge.

In another aspect, the invention further provides a bridge detection and early warning system based on the grating sensor, which comprises:

the determining module is configured to determine a bridge to be detected, acquire construction parameter data of the bridge to be detected, and determine a bridge early warning threshold according to the construction parameter data;

The system comprises a coefficient calculation module, a historical optical signal recording module, a detection module and a detection module, wherein the coefficient calculation module is configured to divide a 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 construction parameter data, and deploy grating sensors in each key monitoring area and each secondary monitoring area;

the judging and correcting module is configured to judge whether the bridge early warning threshold needs to be corrected according to the regional deviation coefficient, if yes, setting a correction coefficient corresponding to the bridge early warning threshold, and obtaining a corrected bridge early warning threshold;

The judging and compensating module is configured to collect real-time optical signals of the key monitoring area, and record the real-time optical signals as first real-time optical signals, and collect real-time optical signals of the secondary monitoring area, and record the real-time optical signals as second real-time optical signals; analyzing the first real-time optical signal and the second real-time optical signal, judging whether to compensate the corrected bridge early warning threshold value based on the analysis result, if so, calculating the grating sensor operation coefficient of the bridge to be detected;

and the early warning module is configured to divide the early warning level of the bridge to be detected according to the early warning threshold value of the compensation bridge and perform early warning according to the early warning level.

It can be appreciated that the bridge detection and early warning method and system based on the grating sensor have the same beneficial effects and are not described herein.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:

FIG. 1 is a flow chart of a bridge detection and early warning method based on a grating sensor provided by an embodiment of the invention;

fig. 2 is a block diagram of a bridge detection pre-warning method based on a grating sensor according to an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.

Referring to fig. 1, in some embodiments of the present application, a bridge detection and early warning method based on a grating sensor is provided, which includes the following steps:

S100, determining a bridge to be detected, acquiring construction parameter data of the bridge to be detected, and determining a bridge early warning threshold according to the construction parameter data;

S200, dividing 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 construction parameter data, and disposing a grating sensor in each key monitoring area and each secondary monitoring area;

S300, judging whether the bridge early warning threshold needs to be corrected according to the regional deviation coefficient, if so, setting a correction coefficient corresponding to the bridge early warning threshold, and obtaining a corrected bridge early warning threshold;

S400, collecting real-time optical signals of the key monitoring area, recording the real-time optical signals as first real-time optical signals, collecting real-time optical signals of the secondary monitoring area, recording the real-time optical signals as second real-time optical signals, analyzing the first real-time optical signals and the second real-time optical signals, judging whether to compensate the correction bridge early warning threshold value or not based on analysis results, and if yes, calculating the grating sensor operation coefficient of the bridge to be detected;

S500, setting a compensation coefficient of the corrected bridge early warning threshold value based on the operation coefficient of the grating sensor, and obtaining the compensated bridge early warning threshold value;

And S600, dividing the early warning level of the bridge to be detected according to the early warning threshold value of the compensation bridge, and carrying out early warning according to the early warning level.

In this embodiment, the division of the critical and secondary monitoring areas is based on the importance and the degree of potential risk of the bridge structure. The critical monitoring area generally includes the support structure, connection locations, and areas of greater past traffic load of the bridge. Secondary monitoring areas include those areas where the structure is relatively stable and the risk is low.

It can be seen that the bridge detection early warning method based on the grating sensor provided by the embodiment can effectively improve the accuracy of bridge safety detection and the timeliness of early warning. By monitoring the key monitoring area and the secondary monitoring area of the bridge in real time and combining the high sensitivity characteristic of the grating sensor, the micro change of the bridge structure can be quickly captured, so that early warning is sent out before the bridge is potentially dangerous, and precious time is striven for maintenance and repair of the bridge.

Specifically, when determining the bridge early warning threshold according to the construction parameter data, the method comprises the following steps:

The construction parameter data comprise bridge design load, bridge stress area, bridge use materials and construction environment data;

the bridge early warning threshold is obtained by the following formula:

Wherein,Representing a bridge early warning threshold; representing bridge design loads; representing the stress area of the bridge; Representing the strength of the bridge material; representing the construction environment coefficient; Representing a safety factor.

In this embodiment, the construction environment coefficient Ce is determined according to the specific environmental conditions in which the bridge is located, such as temperature, humidity, wind speed, seismic activity, and the like. These factors all have an impact on the structural safety of the bridge and must therefore be considered when calculating the early warning threshold. The safety factor α is a conservative value for ensuring the safety of the bridge under the most unfavorable conditions, and is generally determined by the relevant engineering standard or specification.

Specifically, analyzing the historical optical signal record, and calculating the regional deviation coefficient of the bridge to be detected based on the analysis result includes:

Extracting a historical wavelength shift record in the historical optical signal record, and analyzing the historical wavelength shift record to obtain normal wavelength shift data and abnormal wavelength shift data;

determining a wavelength influence factor corresponding to each abnormal wavelength shift data, and constructing a wavelength influence factor sequence;

Counting the number of the normal wavelength shift data, marking the number as the normal number, counting the number of the abnormal wavelength shift data, and marking the number as the abnormal number;

Calculating the regional deviation coefficient of the bridge to be detected according to the wavelength influence factor sequence, the normal quantity and the abnormal quantity;

The region deviation coefficient is obtained by the following formula:

Wherein,Representing the regional deviation coefficient; 1 represents a normal number; representing the number of anomalies; Representing an ith wavelength influence factor in the sequence of wavelength influence factors; Representation and representationThe corresponding number of wavelength shift data.

It can be understood that by calculating the regional deviation coefficient C, the structural health condition of the bridge in different monitoring regions can be quantified, and a scientific basis is provided for the subsequent early warning threshold correction.

Specifically, when determining the wavelength influence factor corresponding to each of the abnormal wavelength shift data, the method 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 value according to the actual wavelength offset and the actual wavelength offset threshold;

analyzing the normal wavelength offset data, determining the wavelength offset corresponding to each normal wavelength offset data, and extracting the maximum wavelength offset;

Calculating a second wavelength shift difference value according to the actual wavelength shift amount and the maximum wavelength shift amount;

and calculating a wavelength influence factor corresponding to each abnormal wavelength shift data based on the first wavelength shift difference value and the second wavelength shift difference value.

In this embodiment, the determination of the actual wavelength shift threshold is based on the wavelength shift range of the bridge in the normal operating state. The analysis of the normal wavelength shift data and the extraction of the maximum wavelength shift are used for establishing a reference standard, so that the influence of the abnormal wavelength shift data on the safety of the bridge structure can be accurately estimated.

In this embodiment, the wavelength influencing factor is obtained by:

Wherein,Representing a wavelength influencing factor; Representing a first wavelength shift difference value corresponding to the ith abnormal wavelength shift data; representing a second wavelength shift difference value corresponding to the ith abnormal wavelength shift data; representing a maximum value of the first wavelength shift difference; representing a maximum value of the second wavelength shift difference; A threshold value representing a first wavelength shift difference value; A threshold value representing a second wavelength shift difference.

It can be appreciated that, by the above calculation method, the wavelength influence factor W can reflect the deviation degree of each abnormal wavelength shift data relative to the normal wavelength shift range, so as to provide a quantified index for the health assessment of the bridge structure.

Specifically, when judging whether the bridge early warning threshold needs to be corrected according to the regional deviation coefficient, the method comprises the following steps:

Comparing the regional deviation coefficient with a regional deviation coefficient threshold value, and judging whether the bridge early warning threshold value needs to be corrected according to the comparison result;

When the regional deviation coefficient is smaller than or equal to the regional deviation coefficient threshold value, judging that the bridge early warning threshold value does not need to be corrected;

When the regional deviation coefficient is larger than the regional deviation coefficient threshold, judging that the bridge early warning threshold needs to be corrected;

When the bridge early warning threshold is judged to be required to be corrected, a correction coefficient interval is preset, wherein the correction coefficient interval comprises a first correction coefficient, a second correction coefficient and a third correction coefficient;

Calculating the deviation value of 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, selecting the first correction coefficient as a correction coefficient corresponding to the bridge early warning threshold value, and taking the product value of the first correction coefficient and the bridge early warning threshold value as a correction bridge early warning threshold value;

When the deviation ratio is greater than 1.15 and less than or equal to 1.35, selecting the second correction coefficient as the correction coefficient corresponding to the bridge early warning threshold value, and taking the product value of the second correction coefficient and the bridge early warning threshold value as a correction bridge early warning threshold value;

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

It will be appreciated that in this embodiment, the region deviation factor threshold is set according to the specific requirements of the bridge structure and the historical safety record. It represents the maximum deviation range that a bridge can withstand under normal operating conditions. If the regional deviation coefficient is lower than the threshold value, the structural health condition of the bridge is good, and the early warning threshold value is not required to be adjusted, otherwise, if the regional deviation coefficient is close to or exceeds the threshold value, the potential safety hazard of the bridge is indicated, and the early warning threshold value is required to be corrected to improve the early warning sensitivity.

Specifically, analyzing the first real-time optical signal and the second real-time optical signal, and judging whether to compensate the corrected bridge early warning threshold based on the analysis result includes:

Determining a light intensity change value corresponding to the first real-time optical signal, recording the light intensity change value as a first light intensity change value, and determining a corresponding first light intensity change standard value;

determining a light intensity change value corresponding to the second real-time optical signal, recording the light intensity change value as a second light intensity change value, and determining a corresponding second light intensity change standard value;

When all the first light intensity variation values are smaller than or equal to the first light intensity variation standard value and all the second light intensity variation values are smaller than or equal to the second light intensity variation standard value, judging that compensation on the correction bridge early warning threshold value is not needed;

And when the first light intensity variation value larger than the first light intensity variation standard value and/or the second light intensity variation value larger than the second light intensity variation standard value exist, judging that the correction bridge early warning threshold value needs to be compensated.

In this embodiment, the first light intensity variation standard value and the second light intensity variation standard value are set according to the light intensity variation range of the bridge in the normal operation state. The standard values can help us to distinguish the light intensity variation difference of the bridge under normal working and potential dangerous states, thereby providing basis for decision making of the early warning system.

Specifically, when calculating the operation coefficient of the grating sensor of the bridge to be detected, the method comprises the following steps:

Extracting all first light intensity variation values larger than a first light intensity variation standard value, and calculating a first light intensity variation difference value of each first light intensity variation value and the first light intensity variation standard value;

determining all first light intensity variation differences, and generating a first light intensity variation difference set according to all first light intensity variation differences larger than a first light intensity variation difference threshold;

Extracting all second light intensity variation values larger than a second light intensity variation standard value, and calculating a second light intensity variation difference value of each second light intensity variation value and the second light intensity variation standard value;

Determining all second light intensity variation differences, and generating a second light intensity variation difference set according to all second light intensity variation differences larger than a second light intensity variation difference threshold;

Respectively calculating a first average light intensity variation difference value of the first light intensity variation difference value set, and a second average light intensity variation difference value of the second light intensity variation difference value set;

Calculating the grating sensor operation coefficient based on the first average light intensity variation difference value and the second average light intensity variation difference value;

The grating sensor operation coefficient is obtained by the following formula:

Wherein,Representing the operation coefficient of the grating sensor; representing a first weight coefficient; Representing the number of first light intensity variation differences in the first set of light intensity variation differences; Representing a kth first light intensity variation difference value in the first set of light intensity variation difference values; representing a second weight coefficient; Representing the number of second light intensity variation differences in the second set of light intensity variation differences; Representing the kth second light intensity variation difference value in the second set of light intensity variation difference values.

In this embodiment, the determination of the first weight coefficient γ and the second weight coefficient δ is based on the importance of the grating sensor in different monitoring areas. In general, the sensor in the critical monitoring area has a greater influence on bridge safety, so the weight coefficient of the sensor is set to be higher. Through the weight distribution, the actual running condition of the bridge can be reflected more accurately when the early warning system calculates the running coefficient of the grating sensor.

Specifically, setting a compensation coefficient of the bridge early warning threshold based on the operation coefficient of the grating sensor, and when obtaining the bridge early warning threshold, the method includes:

setting a compensation coefficient interval, wherein the compensation coefficient interval comprises a first compensation coefficient, a second compensation coefficient and a third compensation coefficient;

comparing the grating sensor operation coefficient with a first grating sensor operation coefficient and a second grating sensor operation coefficient, and determining a compensation coefficient of the correction bridge early warning threshold according to the comparison result, wherein the first grating sensor operation coefficient is smaller than the second grating sensor operation coefficient;

when the operation coefficient of the grating sensor is smaller than or equal to the operation coefficient of the first grating sensor, selecting the first compensation coefficient as a compensation coefficient corresponding to the correction bridge early warning threshold value, and taking the product value of the first compensation coefficient and the correction bridge early warning threshold value as a correction bridge early warning threshold value;

when the operation coefficient of the grating sensor is larger than the operation coefficient of the first grating sensor and smaller than or equal to the operation coefficient of the second grating sensor, selecting the second compensation coefficient as a compensation coefficient corresponding to the correction bridge early warning threshold value, and taking the product value of the second compensation coefficient and the correction bridge early warning threshold value as a correction bridge early warning threshold value;

when the operation coefficient of the grating sensor is larger than the operation coefficient of the second grating sensor, the third compensation coefficient is selected as a compensation coefficient corresponding to the correction bridge early warning threshold value, and the product value of the third compensation coefficient and the correction bridge early warning threshold value is used as the correction bridge early warning threshold value.

It will be appreciated that in this embodiment, the first grating sensor operating coefficient and the second grating sensor operating coefficient are set according to the grating sensor operating conditions of the bridge under different operating conditions. The coefficients can provide help for evaluating the running difference of the grating sensor of the bridge in normal and abnormal states, so that scientific basis is provided for the compensation of the early warning threshold value.

Specifically, dividing the early warning level of the bridge to be detected according to the early warning threshold value of the compensation bridge, and when early warning is performed according to the early warning level, the method comprises the following steps:

Comparing the compensation bridge early warning threshold with a first compensation bridge early warning threshold and a second compensation bridge early warning threshold, and dividing the early warning level of the bridge to be detected according to the comparison result, wherein the first compensation bridge early warning threshold is smaller than the second compensation bridge early warning threshold;

When the compensation bridge early warning threshold value is smaller than or equal to the first compensation bridge early warning threshold value, determining that the early warning level of the bridge to be detected is a first level;

When the compensation bridge early warning threshold value is larger than the first compensation bridge early warning threshold value and smaller than or equal to the second compensation bridge early warning threshold value, determining the early warning level of the bridge to be detected as a second level;

when the compensation bridge early warning threshold value is larger than the second compensation bridge early warning threshold value, determining that the early warning level of the bridge to be detected is a third level;

Wherein the first level is less than the second level, and the second level is less than the third level.

In this embodiment, the first level, the second level and the third level of the early warning level respectively correspond to different safety conditions of the bridge. The first level usually indicates that the bridge is in a safe state and can be used continuously, the second level may mean that the bridge has a certain potential safety hazard and needs further inspection and maintenance, and the third level indicates that the bridge has serious safety problems and may need immediate measures such as limiting traffic flow or performing emergency repair.

In the embodiment, after the early warning level of the bridge to be detected is determined, specific operations of early warning according to the early warning level include sending a safety notification to a bridge manager through an early warning system when the early warning level of the bridge to be detected is a first level to prompt that the bridge is in a normal running state currently but needs to be continuously monitored, sending a warning signal to the early warning system when the early warning level of the bridge to be detected is a second level to prompt the bridge manager to perform regular inspection and necessary maintenance work so as to prevent potential safety risks, and sending an emergency alarm to prompt immediate measures such as limiting or closing bridge traffic and starting an emergency repair program to ensure the safety of a bridge structure when the early warning level of the bridge to be detected is a third level.

It can be understood that by the hierarchical early warning mechanism, bridge managers can be effectively guided to take corresponding measures according to the actual conditions of the bridge, so that the use safety of the bridge is ensured and the service life of the bridge is prolonged.

Referring to fig. 2, in some embodiments of the present application, a bridge detection and early warning system based on a grating sensor is provided, including:

the determining module is configured to determine a bridge to be detected, acquire construction parameter data of the bridge to be detected, and determine a bridge early warning threshold according to the construction parameter data;

The system comprises a coefficient calculation module, a historical optical signal recording module, a detection module and a detection module, wherein the coefficient calculation module is configured to divide a 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 construction parameter data, and deploy grating sensors in each key monitoring area and each secondary monitoring area;

the judging and correcting module is configured to judge whether the bridge early warning threshold needs to be corrected according to the regional deviation coefficient, if yes, setting a correction coefficient corresponding to the bridge early warning threshold, and obtaining a corrected bridge early warning threshold;

The judging and compensating module is configured to collect real-time optical signals of the key monitoring area, and record the real-time optical signals as first real-time optical signals, and collect real-time optical signals of the secondary monitoring area, and record the real-time optical signals as second real-time optical signals; analyzing the first real-time optical signal and the second real-time optical signal, judging whether to compensate the corrected bridge early warning threshold value based on the analysis result, if so, calculating the grating sensor operation coefficient of the bridge to be detected;

and the early warning module is configured to divide the early warning level of the bridge to be detected according to the early warning threshold value of the compensation bridge and perform early warning according to the early warning level.

It will be appreciated by those skilled in the art that embodiments of the application may be provided as methods, systems, or computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flowchart and/or block of the flowchart illustrations and/or block diagrams, and combinations of flowcharts and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the specific embodiments of the present invention without departing from the spirit and scope of the present invention, and any modifications and equivalents are intended to be included in the scope of the claims of the present invention.

Claims (10)

Translated fromChinese

1.一种基于光栅传感器的桥梁检测预警方法，其特征在于，包括：1. A bridge detection and early warning method based on a grating sensor, characterized by comprising:确定待检测桥梁，获取所述待检测桥梁的施工参数数据，并根据所述施工参数数据确定桥梁预警阈值；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;基于所述待检测桥梁和施工参数数据，将所述待检测桥梁划分为若干个关键监测区域和若干个次要监测区域，在每一个所述关键监测区域和次要监测区域均部署光栅传感器；采集所述关键监测区域的历史光学信号记录，对所述历史光学信号记录进行分析，基于分析结果计算所述待检测桥梁的区域偏差系数；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;根据所述区域偏差系数判断是否需要对所述桥梁预警阈值进行修正，若是，则设定所述桥梁预警阈值对应的修正系数，并得到修正桥梁预警阈值；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;采集所述关键监测区域的实时光学信号，记为第一实时光学信号，采集所述次要监测区域的实时光学信号，记为第二实时光学信号；对所述第一实时光学信号和第二实时光学信号进行解析，基于解析结果判断是否对所述修正桥梁预警阈值进行补偿，若是，则计算所述待检测桥梁的光栅传感器运行系数；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;基于所述光栅传感器运行系数设定所述修正桥梁预警阈值的补偿系数，并得到补偿桥梁预警阈值；Setting a compensation coefficient of the modified bridge warning threshold based on the grating sensor operation coefficient, and obtaining a compensated bridge warning threshold;根据所述补偿桥梁预警阈值划分所述待检测桥梁的预警级别，并根据所述预警级别进行预警。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.根据权利要求1所述的基于光栅传感器的桥梁检测预警方法，其特征在于，根据所述施工参数数据确定桥梁预警阈值时，包括：2. The bridge detection and early warning method based on grating sensors according to claim 1 is characterized in that when determining the bridge early warning threshold according to the construction parameter data, it includes:所述施工参数数据包括桥梁设计载荷、桥梁受力面积、桥梁使用材料和施工环境数据；The construction parameter data include bridge design load, bridge load area, bridge materials and construction environment data;所述桥梁预警阈值通过下式获得：The bridge warning threshold is obtained by the following formula:其中，表示桥梁预警阈值；表示桥梁设计载荷；表示桥梁受力面积；表示桥梁使用材料的强度；表示施工环境系数；表示安全系数。 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.3.根据权利要求1所述的基于光栅传感器的桥梁检测预警方法，其特征在于，对所述历史光学信号记录进行分析，基于分析结果计算所述待检测桥梁的区域偏差系数时，包括：3. The bridge detection and early warning method based on grating sensor according to claim 1 is characterized in that the historical optical signal record is analyzed, and the regional deviation coefficient of the bridge to be detected is calculated based on the analysis result, including:提取所述历史光学信号记录中的历史波长偏移记录，对所述历史波长偏移记录进行分析，得到正常波长偏移数据和异常波长偏移数据；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;确定每一个所述异常波长偏移数据所对应的波长影响因子，并构建波长影响因子序列；Determine the wavelength impact factor corresponding to each of the abnormal wavelength deviation data, and construct a wavelength impact factor sequence;统计所述正常波长偏移数据的数量，记为正常数量，统计所述异常波长偏移数据的数量，记为异常数量；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;根据所述波长影响因子序列、正常数量和异常数量计算所述待检测桥梁的区域偏差系数；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;所述区域偏差系数通过下式获得：The regional deviation coefficient is obtained by the following formula:其中，表示区域偏差系数；1表示正常数量；表示异常数量；表示波长影响因子序列中的第i个波长影响因子；表示与对应的波长偏移数据的数量值。 in, represents the regional deviation coefficient; 1 indicates normal quantity; Indicates the number of anomalies; represents the i-th wavelength impact factor in the wavelength impact factor sequence; Representation and The corresponding wavelength offset data value.4.根据权利要求3所述的基于光栅传感器的桥梁检测预警方法，其特征在于，确定每一个所述异常波长偏移数据所对应的波长影响因子时，包括：4. The bridge detection and early warning method based on grating sensor according to claim 3 is characterized in that when determining the wavelength impact factor corresponding to each abnormal wavelength deviation data, it includes:提取每一个所述异常波长偏移数据对应的实际波长偏移量，获取实际波长偏移量阈值，根据所述实际波长偏移量和所述实际波长偏移量阈值计算第一波长偏移差值；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;对所述正常波长偏移数据进行分析，确定每一个正常波长偏移数据对应的波长偏移量，并提取最大波长偏移量；Analyze the normal wavelength offset data, determine the wavelength offset corresponding to each normal wavelength offset data, and extract the maximum wavelength offset;根据所述实际波长偏移量和所述最大波长偏移量计算第二波长偏移差值；Calculate a second wavelength shift difference according to the actual wavelength shift and the maximum wavelength shift;基于所述第一波长偏移差值和第二波长偏移差值计算每一个所述异常波长偏移数据对应的波长影响因子。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.根据权利要求1所述的基于光栅传感器的桥梁检测预警方法，其特征在于，根据所述区域偏差系数判断是否需要对所述桥梁预警阈值进行修正时，包括：5. The bridge detection and early warning method based on grating sensor according to claim 1 is characterized in that when judging whether the bridge early warning threshold needs to be corrected according to the regional deviation coefficient, it includes:将所述区域偏差系数与区域偏差系数阈值进行比对，根据比对结果判断是否需要对所述桥梁预警阈值进行修正；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;当所述区域偏差系数小于或等于所述区域偏差系数阈值时，判定不需要对所述桥梁预警阈值进行修正；When the regional deviation coefficient is less than or equal to the regional deviation coefficient threshold, it is determined that there is no need to modify the bridge warning threshold;当所述区域偏差系数大于所述区域偏差系数阈值时，判定需要对所述桥梁预警阈值进行修正；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;当判定需要对所述桥梁预警阈值进行修正时，预先设定修正系数区间，其中，所述修正系数区间包括第一修正系数、第二修正系数和第三修正系数；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;计算所述区域偏差系数和所述区域偏差系数阈值的偏差比值；Calculating a deviation ratio between the regional deviation coefficient and the regional deviation coefficient threshold;当所述偏差比值大于1且小于或等于1.15时，则选定所述第一修正系数作为所述桥梁预警阈值对应的修正系数，并将所述第一修正系数和所述桥梁预警阈值的乘积值作为修正桥梁预警阈值；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;当所述偏差比值大于1.15且小于或等于1.35时，则选定所述第二修正系数作为所述桥梁预警阈值对应的修正系数，并将所述第二修正系数和所述桥梁预警阈值的乘积值作为修正桥梁预警阈值；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;当所述偏差比值大于1.35时，则选定所述第三修正系数作为所述桥梁预警阈值对应的修正系数，并将所述第三修正系数和所述桥梁预警阈值的乘积值作为修正桥梁预警阈值。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.根据权利要求1所述的基于光栅传感器的桥梁检测预警方法，其特征在于，对所述第一实时光学信号和第二实时光学信号进行解析，基于解析结果判断是否对所述修正桥梁预警阈值进行补偿时，包括：6. The bridge detection and early warning method based on a 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 when judging whether to compensate the modified bridge early warning threshold based on the analysis result, it includes:确定所述第一实时光学信号对应的光强变化值，记为第一光强变化值，并确定对应的第一光强变化标准值；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;确定所述第二实时光学信号对应的光强变化值，记为第二光强变化值，并确定对应的第二光强变化标准值；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;当所有所述第一光强变化值均小于或等于所述第一光强变化标准值，且所有所述第二光强变化值均小于或等于所述第二光强变化标准值时，判定不需要对所述修正桥梁预警阈值进行补偿；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;当存在大于所述第一光强变化标准值的所述第一光强变化值和/或存在大于所述第二光强变化标准值的所述第二光强变化值时，判定需要对所述修正桥梁预警阈值进行补偿。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.根据权利要求6所述的基于光栅传感器的桥梁检测预警方法，其特征在于，计算所述待检测桥梁的光栅传感器运行系数时，包括：7. The bridge detection and early warning method based on grating sensor according to claim 6 is characterized in that the calculation of the grating sensor operation coefficient of the bridge to be detected includes:提取所有大于第一光强变化标准值的第一光强变化值，并计算每一个所述第一光强变化值和第一光强变化标准值的第一光强变化差值；Extracting all first light intensity change values 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;确定所有的第一光强变化差值，并根据所有大于第一光强变化差值阈值的第一光强变化差值生成第一光强变化差值集合；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;提取所有大于第二光强变化标准值的第二光强变化值，并计算每一个所述第二光强变化值和第二光强变化标准值的第二光强变化差值；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;确定所有的第二光强变化差值，并根据所有大于第二光强变化差值阈值的第二光强变化差值生成第二光强变化差值集合；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;分别计算所述第一光强变化差值集合的第一平均光强变化差值，所述第二光强变化差值集合的第二平均光强变化差值；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;基于所述第一平均光强变化差值和所述第二平均光强变化差值计算所述光栅传感器运行系数；Calculating the grating sensor operation coefficient based on the first average light intensity change difference and the second average light intensity change difference;所述光栅传感器运行系数通过下式获得：The grating sensor operating coefficient is obtained by the following formula:其中，表示光栅传感器运行系数；表示第一权重系数；表示第一光强变化差值集合中第一光强变化差值的数量；表示第一光强变化差值集合中的第k个第一光强变化差值；表示第二权重系数；表示第二光强变化差值集合中第二光强变化差值的数量；表示第二光强变化差值集合中的第k个第二光强变化差值。 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.根据权利要求1所述的基于光栅传感器的桥梁检测预警方法，其特征在于，基于所述光栅传感器运行系数设定所述修正桥梁预警阈值的补偿系数，并得到补偿桥梁预警阈值时，包括：8. The bridge detection and early warning method based on the grating sensor according to claim 1 is characterized in that, when the compensation coefficient of the modified bridge early warning threshold is set based on the grating sensor operation coefficient and the compensated bridge early warning threshold is obtained, it includes:设定补偿系数区间，其中，所述补偿系数区间包括第一补偿系数、第二补偿系数和第三补偿系数；Setting a compensation coefficient interval, wherein the compensation coefficient interval includes a first compensation coefficient, a second compensation coefficient, and a third compensation coefficient;将所述光栅传感器运行系数与第一光栅传感器运行系数和第二光栅传感器运行系数进行比对，根据比对结果确定所述修正桥梁预警阈值的补偿系数；其中，所述第一光栅传感器运行系数小于所述第二光栅传感器运行系数；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;当所述光栅传感器运行系数小于或等于所述第一光栅传感器运行系数时，则选定所述第一补偿系数作为所述修正桥梁预警阈值对应的补偿系数，并将所述第一补偿系数和所述修正桥梁预警阈值的乘积值作为补偿桥梁预警阈值；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;当所述光栅传感器运行系数大于所述第一光栅传感器运行系数，且小于或等于所述第二光栅传感器运行系数时，则选定所述第二补偿系数作为所述修正桥梁预警阈值对应的补偿系数，并将所述第二补偿系数和所述修正桥梁预警阈值的乘积值作为补偿桥梁预警阈值；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;当所述光栅传感器运行系数大于所述第二光栅传感器运行系数时，则选定所述第三补偿系数作为所述修正桥梁预警阈值对应的补偿系数，并将所述第三补偿系数和所述修正桥梁预警阈值的乘积值作为补偿桥梁预警阈值。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.根据权利要求1所述的基于光栅传感器的桥梁检测预警方法，其特征在于，根据所述补偿桥梁预警阈值划分所述待检测桥梁的预警级别，并根据所述预警级别进行预警时，包括：9. The bridge detection and early warning method based on grating sensor according to claim 1 is characterized in that the early warning level of the bridge to be detected is divided according to the compensation bridge early warning threshold, and when the early warning is given according to the early warning level, it includes:将所述补偿桥梁预警阈值与第一补偿桥梁预警阈值和第二补偿桥梁预警阈值进行比对，根据比对结果划分所述待检测桥梁的预警级别；其中，所述第一补偿桥梁预警阈值小于所述第二补偿桥梁预警阈值；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;当所述补偿桥梁预警阈值小于或等于所述第一补偿桥梁预警阈值时，则确定所述待检测桥梁的预警级别为第一级别；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;当所述补偿桥梁预警阈值大于所述第一补偿桥梁预警阈值，且小于或等于所述第二补偿桥梁预警阈值时，则确定所述待检测桥梁的预警级别为第二级别；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;当所述补偿桥梁预警阈值大于所述第二补偿桥梁预警阈值时，则确定所述待检测桥梁的预警级别为第三级别；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;其中，所述第一级别小于所述第二级别，所述第二级别小于所述第三级别。The first level is smaller than the second level, and the second level is smaller than the third level.10.一种基于光栅传感器的桥梁检测预警系统，应用于如权利要求1-9任一项所述的基于光栅传感器的桥梁检测预警方法中，其特征在于，包括：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 it comprises:确定模块，被配置为确定待检测桥梁，获取所述待检测桥梁的施工参数数据，并根据所述施工参数数据确定桥梁预警阈值；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;系数计算模块，被配置为基于所述待检测桥梁和施工参数数据，将所述待检测桥梁划分为若干个关键监测区域和若干个次要监测区域，在每一个所述关键监测区域和次要监测区域均部署光栅传感器；采集所述关键监测区域的历史光学信号记录，对所述历史光学信号记录进行分析，基于分析结果计算所述待检测桥梁的区域偏差系数；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;判断修正模块，被配置为根据所述区域偏差系数判断是否需要对所述桥梁预警阈值进行修正，若是，则设定所述桥梁预警阈值对应的修正系数，并得到修正桥梁预警阈值；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;判断补偿模块，被配置为采集所述关键监测区域的实时光学信号，记为第一实时光学信号，采集所述次要监测区域的实时光学信号，记为第二实时光学信号；对所述第一实时光学信号和第二实时光学信号进行解析，基于解析结果判断是否对所述修正桥梁预警阈值进行补偿，若是，则计算所述待检测桥梁的光栅传感器运行系数；基于所述光栅传感器运行系数设定所述修正桥梁预警阈值的补偿系数，并得到补偿桥梁预警阈值；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;预警模块，被配置为根据所述补偿桥梁预警阈值划分所述待检测桥梁的预警级别，并根据所述预警级别进行预警。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.