Water conservancy dam engineering early warning system based on optical fiber nondestructive monitoring technology

Abstract

The invention relates to the technical field of water conservancy dam engineering early warning, in particular to a water conservancy dam engineering early warning system based on an optical fiber nondestructive monitoring technology. The system comprises a monitoring item matching module and a response early warning module. The response early warning module is combined with the monitoring image to perform data diversity comparison, the response frequencies corresponding to the different monitoring areas are matched according to the comparison result, the response frequencies are fed back to the monitoring item matching module, and the monitoring item matching module adjusts the monitoring items of the monitoring areas according to the response frequencies. Continuous monitoring is carried out according to the adjusted monitoring item, the response frequency serves as an early warning result of different monitoring areas, the higher the response frequency is, the higher the danger degree of the current monitoring area is, adaptive monitoring is carried out by adjusting the monitoring item, and therefore the monitoring state of the monitoring instrument is intelligently adjusted, an early warning response mode is matched, and the monitoring accuracy is improved.

Description

Technical Field

[0001] The invention relates to the technical field of water conservancy dam engineering early warning, and in particular to a water conservancy dam engineering early warning system based on optical fiber nondestructive monitoring technology. Background Art

[0002] Fiber optic nondestructive monitoring technology is an advanced detection method. It utilizes the unique properties of optical fiber, such as small size, light weight, and strong anti-electromagnetic interference ability. It is widely used in many fields, especially in the monitoring of water conservancy dam projects.

[0003] In the process of monitoring water conservancy dams, fiber optic nondestructive monitoring technology uses optical fiber itself as a sensitive element to monitor the internal state of the dam by measuring the temperature and strain changes along the optical fiber. By analyzing the internal state, the degree of damage to the dam is predicted, thereby achieving early warning and monitoring of hidden dangers in the dam.

[0004] The existing methods of using optical fiber nondestructive monitoring technology to monitor water conservancy dams generally include: manual monitoring and fixed deployment monitoring. Manual monitoring is to carry out fixed-point monitoring along the dam body by manually carrying corresponding monitoring instruments. Before monitoring, the monitoring route needs to be planned in advance and the monitoring work is carried out sequentially according to the route. This method requires a lot of energy, and some areas of the dam body are difficult to meet manual monitoring, and the monitoring is difficult;

[0005] Although the fixed monitoring method can reduce the manual workload, since the monitoring area is fixed, although coverage monitoring can be carried out by setting up multiple fixed monitoring positions, there are areas with low intensity in the monitoring range. This is because as the distance increases, the corresponding monitoring intensity decreases. For the dam body, the abnormal position is not fixed, so when capturing abnormal areas, its accuracy will be greatly reduced.

[0006] In order to address the above problems, there is an urgent need for an early warning system for water conservancy and dam projects based on fiber optic non-destructive monitoring technology. Summary of the invention

[0007] The purpose of the present invention is to provide a water conservancy dam engineering early warning system based on optical fiber non-destructive monitoring technology to solve the problems raised in the above background technology.

[0008] To achieve the above purpose, a water conservancy dam project early warning system based on optical fiber non-destructive monitoring technology is provided, including a monitoring area positioning division module, a monitoring project matching module, a monitoring data feedback module and a response early warning module;

[0009] The monitoring area positioning and division module divides the area to be monitored in combination with the water conservancy dam construction simulation diagram, and configures corresponding monitoring equipment for real-time monitoring processing;

[0010] The monitoring project matching module formulates adaptive monitoring projects based on the divided regional topography to be monitored, and the monitoring equipment in the corresponding area performs monitoring and processing according to the monitoring projects;

[0011] The monitoring data feedback module is used to collect data fed back by various monitoring devices, classify and process the feedback data, and draw corresponding monitoring images according to the fed back monitoring data through image drawing software;

[0012] The response warning module combines the monitoring images to perform data diversity comparison, matches the response frequencies corresponding to different monitoring areas according to the comparison results, and feeds back the response frequencies to the monitoring item matching module. The monitoring item matching module adjusts the monitoring items of each monitoring area according to the response frequencies, and continues monitoring according to the adjusted monitoring items.

[0013] As a further improvement of the technical solution, the monitoring items in the monitoring item matching module include an initial monitoring interval, an initial monitoring frequency, a unit shortening interval, and a unit superposition frequency;

[0014] Initial monitoring distance: the distance between adjacent monitoring points in each area to be detected;

[0015] Initial monitoring frequency: the number of monitoring times per stopover monitoring point;

[0016] Unit shortening distance: unit shortening distance under different response frequency feedback;

[0017] Unit superposition frequency: Unit superposition frequency under different response frequency feedback.

[0018] As a further improvement of the technical solution, the method for formulating adaptive monitoring items in the monitoring item matching module includes the following steps:

[0019] S201, collecting monitoring results of monitoring instruments in different monitoring areas;

[0020] S202. Conduct monitoring data verification analysis based on the monitoring experiment results to obtain actual values ​​of monitoring items in different monitoring areas.

[0021] As a further improvement of the technical solution, the method for classifying and processing the feedback data in the monitoring data feedback module comprises the following steps:

[0022] S301, formulate corresponding monitoring data classification items according to the areas to be monitored;

[0023] The monitoring data classification items include monitoring feedback time and monitoring area code;

[0024] S302, dividing the monitoring data into classification processing database;

[0025] S303, defining the classification storage priority of each monitoring data classification item, and storing them in order of priority;

[0026] Among them, the priority of the monitoring area code is greater than the priority of the monitoring feedback time.

[0027] As a further improvement of the technical solution, the method for performing data diversity comparison in the response warning module includes the following steps:

[0028] S401, obtaining historical monitoring data, and dividing the monitoring safety value range and the monitoring danger value range according to the historical monitoring data;

[0029] S402, classifying the monitoring safety value range and the monitoring danger value range;

[0030] S403, combining historical monitoring data images, obtaining characteristic points corresponding to different levels of monitoring safety value ranges and monitoring danger value ranges, and binding and storing them to establish a historical warning database;

[0031] S404: In combination with the drawn monitoring image, identify the feature points therein, and match the monitoring safety value range or monitoring danger value range of the corresponding level according to the feature points.

[0032] As a further improvement of the technical solution, the method for matching the response frequencies corresponding to different monitoring areas according to the comparison results in the response warning module includes the following steps:

[0033] S405. Establish corresponding warning response times for different levels of monitoring danger value ranges Obtain the comparison result in S404 and calculate the total number of early warning responses in the entire monitoring area

[0034] S406: Obtain the total number of monitoring times for each monitoring area Calculate the response frequency = total number of warning responses / Total number of monitoring times

[0035] As a further improvement of the technical solution, the method for adjusting the monitoring items of each monitoring area according to the response frequency in the monitoring item matching module includes the following steps:

[0036] S203: Formulate a unit shortening interval matching strategy to obtain unit shortening interval values ​​Ust corresponding to different response frequency ranges spacing ;

[0037] The unit shortening interval value Ust spacing=μ×unit shortening spacing, and 0<μ<1;

[0038] S204. Formulate a unit superposition frequency strategy to obtain unit superposition frequency values ​​Uns corresponding to different response frequency ranges frequency ;

[0039] The unit superposition frequency value is Uns frequency =δ×unit superposition frequency value, 1<δ and δ is a positive integer;

[0040] S205, according to the actual response frequency matching corresponding unit shortening interval value Ust spacing And the unit superposition frequency value Uns frequency .

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] In the water conservancy dam project early warning system based on fiber optic non-destructive monitoring technology, the response early warning module is combined with the monitoring image to perform data diversity comparison, and the response frequency corresponding to different monitoring areas is matched according to the comparison results, and the response frequency is fed back to the monitoring project matching module. The monitoring project matching module adjusts the monitoring projects of each monitoring area according to the response frequency, and continues to monitor according to the adjusted monitoring projects. The response frequency is used as the early warning result of different monitoring areas. The higher the response frequency, the higher the degree of danger in the current monitoring area. By adjusting the monitoring projects for adaptive monitoring, the monitoring status of the monitoring instrument can be intelligently adjusted to cooperate with the early warning response mode to improve the monitoring accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is the overall structural diagram of the present invention;

[0044] Figure 2 This is one of the actual layout diagrams of the monitoring instrument of the present invention;

[0045] Figure 3 The second is the actual layout diagram of the monitoring instrument of the present invention;

[0046] Figure 4 A method step diagram for formulating an adaptive monitoring project of the present invention;

[0047] Figure 5 A step diagram of a method for classifying feedback data according to the present invention;

[0048] Figure 6 A step diagram of the method for performing data diversity comparison of the present invention;

[0049] Figure 7 A method step diagram of matching response frequencies corresponding to different monitoring areas according to comparison results of the present invention;

[0050] Figure 8 This is a step diagram of a method for adjusting monitoring items in each monitoring area according to a response frequency according to the present invention.

[0051] The meaning of each number in the figure is:

[0052] 10. Monitoring area positioning and division module;

[0053] 20. Monitoring project matching module;

[0054] 30. Monitoring data feedback module;

[0055] 40. Response warning module. DETAILED DESCRIPTION

[0056] The following will be combined with the accompanying drawings in the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] See also Figure 1 As shown, a water conservancy dam project early warning system based on optical fiber non-destructive monitoring technology is provided, including a monitoring area positioning division module 10, a monitoring project matching module 20, a monitoring data feedback module 30 and a response early warning module 40;

[0058] The monitoring area positioning and division module 10 divides the area to be monitored in combination with the water conservancy dam construction simulation diagram, and configures corresponding monitoring equipment for real-time monitoring processing;

[0059] The monitoring project matching module 20 formulates adaptive monitoring projects based on the divided regional topography to be monitored, and the monitoring equipment in the corresponding area performs monitoring processing according to the monitoring projects;

[0060] The monitoring data feedback module 30 is used to collect the data fed back by each monitoring device, classify and process the feedback data, and draw the corresponding monitoring image according to the feedback monitoring data through the image drawing software;

[0061] The response warning module 40 combines the monitoring images to perform data diversity comparison, matches the response frequencies corresponding to different monitoring areas according to the comparison results, and feeds back the response frequencies to the monitoring item matching module 20. The monitoring item matching module 20 adjusts the monitoring items of each monitoring area according to the response frequencies, and continues monitoring according to the adjusted monitoring items.

[0062] In specific use, in the process of monitoring and early warning of water conservancy dams, firstly, the monitoring area positioning and division module 10 is combined with the water conservancy dam construction simulation diagram to divide the area to be monitored, and the corresponding monitoring equipment is configured for real-time monitoring and processing. For example, by obtaining the temperature change inside the dam body, it is predicted whether there is seepage inside it. In the specific monitoring process, Figure 2-Figure 3 As shown, the present invention adopts a path-type monitoring method, by arranging corresponding monitoring brackets in the area to be detected corresponding to the dam body, and the monitoring instrument is located on the bracket, and the positioning instrument on the monitoring room can be driven by a servo motor to drive the screw to drive the monitoring instrument to move cyclically above the area to be detected. In this process, the monitoring project matching module 20 is combined with the topography of the area to be monitored after the division to formulate adaptive monitoring projects, and the monitoring equipment in the corresponding area performs monitoring processing according to the monitoring projects. For example, the monitoring spacing is different, and the location point of each monitoring suspension is different, and the corresponding coverage degree will be different. For high-risk monitoring areas, the corresponding monitoring spacing becomes smaller. In this way, refined monitoring positioning is performed to obtain the location of the dangerous area;

[0063] The monitoring instrument monitors according to the monitoring items, and the acquired monitoring data will be fed back to the monitoring data feedback module 30, and the feedback data will be classified and processed by the monitoring data feedback module 30. For example, the monitoring data of different monitoring areas need to be distinguished so as to locate the dangerous areas later. The corresponding monitoring images are drawn according to the fed-back monitoring data through the image drawing software, and the monitoring status of the monitoring area can be intuitively obtained through the monitoring images;

[0064] Finally, the response warning module 40 is combined with the monitoring image to perform data diversity comparison, that is, to compare the various data fed back in the monitoring image, such as image peak points, duration, inflection points and other data, which are used as the theoretical basis for subsequent judgments. At the same time, the response frequencies corresponding to different monitoring areas are matched according to the comparison results, and the response frequencies are fed back to the monitoring item matching module 20. The monitoring item matching module 20 adjusts the monitoring items of each monitoring area according to the response frequency, and continues to monitor according to the adjusted monitoring items. The response frequency is used as the warning result of different monitoring areas. The higher the response frequency, the higher the degree of danger of the current monitoring area. Therefore, in order to further refine the dangerous area, it is necessary to adjust the monitoring items for adaptive monitoring, so as to intelligently adjust the monitoring status of the monitoring instrument, cooperate with the warning response mode, and improve the monitoring accuracy.

[0065] In addition, the monitoring items in the monitoring item matching module 20 include an initial monitoring interval, an initial monitoring frequency, a unit shortening interval, and a unit superposition frequency;

[0066] Initial monitoring distance: the distance between adjacent monitoring points in each area to be detected;

[0067] Initial monitoring frequency: the number of monitoring times per stopover monitoring point;

[0068] Unit shortening distance: unit shortening distance under different response frequency feedback;

[0069] Unit superposition frequency: unit superposition frequency under different response frequency feedback. For example, through the response frequency feedback, it is obtained that there is a dangerous area in the current monitoring area. At this time, it is necessary to increase the monitoring times of each stop monitoring point and increase the monitoring feedback of each stop monitoring point.

[0070] Further, such as Figure 4 As shown, the method for formulating adaptive monitoring items in the monitoring item matching module 20 includes the following steps:

[0071] S201, collecting monitoring results of monitoring instruments in different monitoring areas;

[0072] S202. Conduct monitoring data verification analysis based on the monitoring experiment results to obtain actual values ​​of monitoring items in different monitoring areas.

[0073] During specific use, due to the different monitoring area environments on the dam body, such as shape, thickness and filling materials, the monitoring instrument is prone to abnormal monitoring during the monitoring process. For example, due to thickness problems, multiple monitoring data are invalid during the monitoring process, and multiple monitorings are required to obtain the real data of the current monitoring area. Therefore, for monitoring in these different environments, verification monitoring work needs to be carried out in advance, and the monitoring results of the monitoring instruments in different monitoring areas need to be collected. For example, the same monitoring area generally needs to collect experimental data several times at the stop point to obtain the real data. Finally, combined with the monitoring experiment results, the monitoring data verification analysis is carried out to obtain the actual values ​​of the monitoring items in different monitoring areas to ensure the reliability of the data source under normal conditions and reduce monitoring errors.

[0074] Furthermore, if Figure 5 As shown, the method for classifying and processing the feedback data in the monitoring data feedback module 30 includes the following steps:

[0075] S301, formulate corresponding monitoring data classification items according to the areas to be monitored;

[0076] The monitoring data classification items include monitoring feedback time and monitoring area code;

[0077] S302, dividing the monitoring data into classification processing database;

[0078] S303, defining the classification storage priority of each monitoring data classification item, and storing them in order of priority;

[0079] Among them, the priority of the monitoring area code is greater than the priority of the monitoring feedback time.

[0080] During specific use, in order to ensure that the subsequent monitoring data comparison work can be carried out in sequence and in an orderly manner, it is necessary to classify and process the monitoring data in advance. First, according to the division of the area to be monitored, the corresponding monitoring data classification items are formulated. The monitoring data classification items used in the present invention include monitoring feedback time and monitoring area code. The monitoring feedback time is the monitoring time when the monitoring data is fed back from the monitoring instrument. The monitoring area code is the regional location of different monitoring areas, which is represented by the area code. In order to distinguish one by one, the monitoring data classification processing database is divided, and different databases store different data. At the same time, the priority of the monitoring area code in the present invention is greater than the priority of the monitoring feedback time, that is, the divided database is divided by the area code, and one area code corresponds to one data, that is, the monitoring data fed back from one monitoring area. The feedback time of these monitoring data is subjected to secondary division processing, and systematic sequential division work is performed to improve subsequent data comparison and chart drawing work.

[0081] Specifically, Figure 6 As shown, the method for performing data diversity comparison in the response warning module 40 includes the following steps:

[0082] S401, obtaining historical monitoring data, and dividing the monitoring safety value range and the monitoring danger value range according to the historical monitoring data;

[0083] S402, classifying the monitoring safety value range and the monitoring danger value range;

[0084] S403, combining historical monitoring data images, obtaining characteristic points corresponding to different levels of monitoring safety value ranges and monitoring danger value ranges, and binding and storing them to establish a historical warning database;

[0085] S404: In combination with the drawn monitoring image, identify the feature points therein, and match the monitoring safety value range or monitoring danger value range of the corresponding level according to the feature points.

[0086] In addition, if Figure 7 As shown, the method for matching the response frequencies corresponding to different monitoring areas according to the comparison results in the response warning module 40 includes the following steps:

[0087] S405. Establish corresponding warning response times for different levels of monitoring danger value ranges Obtain the comparison results in S404 and calculate the total number of early warning responses in the entire monitoring area

[0088] S406: Obtain the total number of monitoring times for each monitoring area Calculate the response frequency = total number of warning responses / Total number of monitoring times

[0089] Further, such as Figure 8 As shown, the method for adjusting the monitoring items of each monitoring area according to the response frequency in the monitoring item matching module 20 includes the following steps:

[0090] S203: Formulate a unit shortening interval matching strategy to obtain unit shortening interval values ​​Ust corresponding to different response frequency ranges spacing ;

[0091] The unit shortening interval value Ust spacing =μ×unit shortening spacing, and 0<μ<1;

[0092] S204. Formulate a unit superposition frequency strategy to obtain unit superposition frequency values ​​Uns corresponding to different response frequency ranges frequency ;

[0093] The unit superposition frequency value is Uns frequency =δ×unit superposition frequency value, 1<δ and δ is a positive integer;

[0094] S205, according to the actual response frequency matching corresponding unit shortening interval value Ust spacing And the unit superposition frequency value Uns frequency .

[0095] When used specifically, in the process of matching monitoring items, it is first necessary to compare the monitoring data, obtain historical monitoring data, and divide the monitoring safety value range and monitoring danger value range according to the historical monitoring data. For example, the temperature monitoring data fed back by the temperature monitoring instrument, after actual verification, the temperature monitoring data with different values ​​has different corresponding danger levels. The safety and danger of the monitoring area are also divided by this value, that is, the monitoring safety value range and the monitoring danger value range;

[0096] In order to further clarify the degree of safety and the degree of danger, as a data reference for later monitoring personnel, it is necessary to further classify the monitoring safety numerical range and the monitoring danger numerical range. The basis for the classification is obtained through the monitoring features in the monitoring image, such as the specific value of the peak point, etc. When performing a specific comparison, it is necessary to match the corresponding level of monitoring safety numerical range or monitoring danger numerical range through the feature points fed back by the actual monitoring image. Different levels of monitoring danger numerical ranges correspond to different degrees of danger. In order to facilitate the distinction of monitoring personnel, it is necessary to formulate corresponding early warning response times for different levels of monitoring danger numerical ranges in advance. In the present invention, different levels of monitoring safety value ranges will not produce response frequencies, so only the level of monitoring danger value ranges needs to be considered, that is, the comparison results in step S404 are obtained to calculate the total number of early warning responses in the entire monitoring area. Finally, the total number of monitoring times for each monitoring area is obtained Calculate the response frequency = total number of warning responses / Total number of monitoring times For example, the monitoring range of dangerous values ​​is divided into three levels, namely, level Ⅰ, level Ⅱ and level Ⅲ. The response frequency of level Ⅰ is 2 times, the response frequency of level Ⅱ is 4 times, and the response frequency of level Ⅲ is 8 times. When the monitoring area (area code is A) has 4 monitoring stop points, namely a 1 、a 2 、a 3 and a 4 The corresponding monitoring times are 5 times, and the corresponding total number of early warning responses in the monitoring area is The stop point a 1 The number of times that the monitoring danger value range of level II exists is 2 times, and the stop point a 3 The number of times the monitoring danger value range of level II exists is 3 times, and other levels do not exist, so the corresponding warning response times are Finally, the response frequency of the monitoring area (area code is A) = the total number of early warning responses / Total number of monitoring times

[0097] In order to further match the monitoring items, it is necessary to first formulate a unit shortening interval matching strategy and obtain the unit shortening interval value Ust corresponding to different response frequency ranges. spacing , and the unit shortening spacing value Uns must be met spacing =μ×unit shortening interval, and 0<μ<1, which means that the higher the level of the monitoring danger value range, the higher the danger factor of the current monitoring area. At this time, the actual monitoring interval needs to be shortened and the range is locked;

[0098] At the same time, formulate the unit superposition frequency strategy and obtain the unit superposition frequency value Uns corresponding to different response frequency ranges frequency ;

[0099] The unit superposition frequency value is Uns frequency =δ×unit superposition frequency value, 1<δ and δ is a positive integer. Similarly, the higher the level of the monitoring danger value range, the higher the danger factor of the current monitoring area. At this time, the actual monitoring frequency needs to be increased to increase the amount of feedback monitoring data at the same stop point, thereby reducing monitoring errors and improving the accuracy of subsequent data analysis.

[0100] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. The water conservancy dam project early warning system based on optical fiber non-destructive monitoring technology is characterized by: It comprises a monitoring area positioning and division module (10), a monitoring item matching module (20), a monitoring data feedback module (30) and a response and early warning module (40); The monitoring area positioning and division module (10) divides the area to be monitored in combination with the hydraulic dam construction simulation diagram, and configures corresponding monitoring equipment to perform real-time monitoring processing; The monitoring project matching module (20) formulates adaptive monitoring projects based on the divided regional topography to be monitored, and the monitoring equipment in the corresponding area performs monitoring processing according to the monitoring projects; The monitoring data feedback module (30) is used to collect data fed back by various monitoring devices, classify and process the feedback data, and draw corresponding monitoring images according to the fed back monitoring data through image drawing software; The response warning module (40) combines the monitoring images to perform data diversity comparison, matches the response frequencies corresponding to different monitoring areas according to the comparison results, and feeds back the response frequencies to the monitoring item matching module (20). The monitoring item matching module (20) adjusts the monitoring items of each monitoring area according to the response frequencies, and continues monitoring according to the adjusted monitoring items.

2. The water conservancy dam engineering early warning system based on optical fiber nondestructive monitoring technology according to claim 1 is characterized by: The monitoring items in the monitoring item matching module (20) include an initial monitoring interval, an initial monitoring frequency, a unit shortening interval, and a unit superposition frequency; Initial monitoring distance: the distance between adjacent monitoring points in each area to be detected; Initial monitoring frequency: the number of monitoring times per stopover monitoring point; Unit shortening distance: unit shortening distance under different response frequency feedback; Unit superposition frequency: Unit superposition frequency under different response frequency feedback.

3. The water conservancy dam engineering early warning system based on optical fiber nondestructive monitoring technology according to claim 2 is characterized by: The method for formulating adaptive monitoring items in the monitoring item matching module (20) comprises the following steps: S201, collecting monitoring results of monitoring instruments in different monitoring areas; S202. Conduct monitoring data verification analysis based on the monitoring experiment results to obtain actual values ​​of monitoring items in different monitoring areas.

4. The water conservancy dam engineering early warning system based on optical fiber nondestructive monitoring technology according to claim 1 is characterized by: The method for classifying and processing feedback data in the monitoring data feedback module (30) comprises the following steps: S301, formulate corresponding monitoring data classification items according to the areas to be monitored; The monitoring data classification items include monitoring feedback time and monitoring area code; S302, dividing the monitoring data into classification processing database; S303, defining the classification storage priority of each monitoring data classification item, and storing them in order of priority; Among them, the priority of the monitoring area code is greater than the priority of the monitoring feedback time.

5. The water conservancy dam engineering early warning system based on optical fiber nondestructive monitoring technology according to claim 1 is characterized by: The method for performing data diversity comparison in the response warning module (40) comprises the following steps: S401, obtaining historical monitoring data, and dividing the monitoring safety value range and the monitoring danger value range according to the historical monitoring data; S402, classifying the monitoring safety value range and the monitoring danger value range; S403, combining historical monitoring data images, obtaining characteristic points corresponding to different levels of monitoring safety value ranges and monitoring danger value ranges, and binding and storing them to establish a historical warning database; S404: identifying feature points in the drawn monitoring image, and matching the corresponding level of monitoring safety value range or monitoring danger value range according to the feature points.

6. The water conservancy dam engineering early warning system based on optical fiber nondestructive monitoring technology according to claim 5 is characterized by: The method for matching the response frequencies corresponding to different monitoring areas according to the comparison results in the response warning module (40) comprises the following steps: S405. Establish corresponding warning response times for different levels of monitoring danger value ranges Obtain the comparison result in S404 and calculate the total number of early warning responses in the entire monitoring area S406: Obtain the total number of monitoring times for each monitoring area Calculate the response frequency = total number of warning responses Total number of monitoring times 7. The water conservancy dam engineering early warning system based on optical fiber nondestructive monitoring technology according to claim 3 is characterized by: The method for adjusting the monitoring items of each monitoring area according to the response frequency in the monitoring item matching module (20) comprises the following steps: S203: Formulate a unit shortening interval matching strategy to obtain unit shortening interval values ​​Ust corresponding to different response frequency ranges spacing ; The unit shortening interval value Ust spacing =μ×unit shortening spacing, and 0<μ<1; S204. Formulate a unit superposition frequency strategy to obtain unit superposition frequency values ​​Uns corresponding to different response frequency ranges frequency ; The unit superposition frequency value is Uns frequency =δ×unit superposition frequency value, 1<δ and δ is a positive integer; S205, matching the corresponding unit shortening interval value Ust according to the actual response frequency spacing And the unit superposition frequency value Uns frequency .

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