CN119334260B - A bridge detection and early warning method and system based on grating sensor - Google Patents
A bridge detection and early warning method and system based on grating sensor Download PDFInfo
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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
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 representation The 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 representation The 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.
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