Early warning system for side slope protective net

Abstract

The invention relates to the field of emergency early warning, in particular to a slope protection net early warning system. Comprising a management center, and the management center is in communication connection with a data acquisition module, a data analysis module, a data processing module and a slope early warning module; historical slope protection data, historical environment data and slope protection basic data are obtained, a slope protection model is constructed, and real-time slope protection data and real-time environment data are obtained; analyzing the historical slope protection data and the historical environment data to obtain a historical slope protection curve and a reference environment influence value; according to the historical slope protection state value and the historical environment influence value, constructing a slope prediction model and a protection prediction model, and obtaining a slope protection prediction result; and according to the slope protection prediction result, the real-time slope data and the real-time environment data, obtaining a slope protection trend value and a real-time slope protection state value, and performing early warning. The emergency response efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the field of emergency warning, and in particular to a slope protection net warning system. Background Art

[0002] A slope refers to the surface of rock and soil with a certain inclination formed by natural or artificial action. Slopes are widely present in mountainous areas, hilly areas and some engineering construction areas. Due to the influence of natural factors (such as rainfall, earthquakes, weathering, etc.) and human factors (such as engineering excavation and loading, etc.), slopes are prone to geological disasters such as deformation, instability and even collapse. These disasters will not only cause serious damage to surrounding buildings, roads, pipelines and other infrastructure, but may also threaten people's lives and property safety.

[0003] In existing technologies, monitoring of slope conditions cannot reflect the overall status trend of the slope, resulting in missed warnings or high false alarm rates; data transmission delays affect the speed of emergency response to slope disasters; and the lack of comprehensive analysis of multi-source data makes it impossible to achieve trend prediction. These are problems we need to solve. Summary of the Invention

[0004] The purpose of the present invention is to address the problems existing in the background technology and to propose a slope protection net early warning system.

[0005] The technical solution of the present invention is a slope protection net early warning system, which includes a management center, which is communicatively connected to a data acquisition module, a data analysis module, a data processing module and a slope early warning module:

[0006] The data acquisition module is used to obtain historical slope protection data, historical environmental data and basic slope protection data, and build a slope protection model based on the basic slope protection data; and obtain real-time slope protection data and real-time environmental data through the slope protection model;

[0007] Data analysis module, used to analyze historical slope protection data and historical environmental data to obtain historical slope protection curves and reference environmental impact values;

[0008] A data processing module is used to construct a slope prediction model and a protection prediction model based on historical slope protection status values ​​and historical environmental impact values, and obtain slope protection prediction results based on the slope prediction model and the protection prediction model;

[0009] The slope early warning module is used to obtain the slope protection trend value and the real-time slope protection status value based on the slope protection prediction results, real-time slope data and real-time environmental data, and to issue early warnings through the slope protection trend value, real-time slope protection status value, reference environmental impact value and real-time environmental impact value to obtain early warning results.

[0010] Preferably, the process of obtaining historical slope protection data, historical environmental data, and basic slope protection data, building a slope protection model based on the basic slope protection data, and obtaining real-time slope protection data and real-time environmental data based on the slope protection model includes:

[0011] Historical slope data includes historical slope displacement, historical slope vibration frequency, historical slope angle offset value, historical protection force value and historical time; historical environmental data includes historical rainfall and historical soil moisture; slope protection foundation data includes slope foundation structure and protection net foundation structure;

[0012] Obtain a slope protection model based on the slope foundation structure and the protection net foundation structure, and obtain a slope area and a protection area based on the slope protection model;

[0013] Real-time slope protection data includes real-time slope data and real-time protection force values. Slope monitoring points, protection monitoring points and environmental monitoring points are set. Real-time slope data includes real-time slope displacement, real-time slope vibration frequency and real-time slope angle offset value. Real-time environmental data includes real-time rainfall and real-time soil moisture.

[0014] Preferably, the process of analyzing historical slope protection data to obtain historical slope protection curves includes:

[0015] According to historical time, historical slope displacement, historical slope vibration frequency, historical slope angle offset value and historical protection force value, a historical slope displacement curve, a historical slope vibration frequency curve, a historical slope angle offset value curve and a historical protection force value curve are obtained;

[0016] The historical slope protection curve is obtained based on the historical slope displacement curve, the historical slope vibration frequency curve, the historical slope angle offset value curve and the historical protection force value curve.

[0017] Preferably, the process of analyzing historical environmental data to obtain reference environmental impact values ​​includes:

[0018] Based on several sets of historical environmental data, reference environmental data are obtained, the reference environmental data including reference rainfall and reference soil moisture, a reference environmental coefficient is set, and a reference environmental impact value is obtained based on the reference environmental coefficient, reference rainfall and reference soil moisture.

[0019] Preferably, the process of constructing the slope prediction model based on the historical slope protection status values ​​and historical environmental impact values ​​is as follows:

[0020] The historical slope displacements and historical slope angle offset values ​​of several groups of historical slope protection curves are used as training sets and test sets, and the training sets and test sets are input into the slope prediction model. The slope prediction model is trained to obtain the trained slope prediction model, and the corresponding slope displacement prediction curves and slope angle prediction curves are output to obtain the slope prediction displacement, slope prediction angle, displacement trend coefficient and angle trend coefficient.

[0021] Preferably, a protection prediction model is constructed based on historical slope protection status values ​​and historical environmental impact values. The process of obtaining slope protection prediction results based on the slope prediction model and the protection prediction model includes:

[0022] Several groups of historical slope vibration frequency curves and historical protection force value curves of historical slope protection curves are used as training sets and test sets, and the training sets and test sets are input into the protection prediction model, the protection prediction model is trained, and the protection prediction model after training is obtained, and the corresponding slope vibration prediction curve and protection force prediction curve are output to obtain the slope prediction vibration, protection prediction force, vibration trend coefficient and force trend coefficient, and the slope protection prediction result is obtained according to the displacement trend coefficient, angle trend coefficient, displacement trend coefficient and angle trend coefficient.

[0023] Preferably, the process of obtaining the slope protection trend value and the real-time slope protection status value according to the slope protection prediction result, the real-time slope data and the real-time environmental data includes:

[0024] Obtain the slope protection trend value based on the displacement trend coefficient, slope predicted displacement, angle trend coefficient, slope predicted angle, slope predicted vibration, vibration trend coefficient, protection predicted force, and force trend coefficient;

[0025] According to the real-time slope displacement, real-time slope vibration frequency, real-time slope angle offset value and real-time protection force value of the real-time slope protection data, the slope protection correlation coefficient is set; according to the real-time slope displacement, real-time slope vibration frequency, real-time slope angle offset value, real-time protection force value and slope protection correlation coefficient, the real-time slope protection status value is obtained.

[0026] Preferably, the process of performing early warning by using the slope protection trend value, the real-time slope protection status value, the reference environmental impact value and the real-time environmental impact value includes:

[0027] Set the environmental correlation coefficient, and obtain the real-time environmental impact value based on the environmental correlation coefficient, real-time rainfall, and real-time soil moisture;

[0028] Analyze the slope protection trend value and the real-time slope protection status value to obtain a warning signal 1, and obtain a slope protection warning value based on the calculated real-time slope protection status value and the slope protection trend value; send the warning value and warning signal to the relevant management personnel of the management center for analysis to obtain a preventive strategy;

[0029] Analyze the reference environmental impact value and the real-time environmental impact value to obtain a second early warning signal, and obtain an environmental early warning value based on the real-time environmental impact value and the reference environmental impact value; send the early warning value and the early warning signal to relevant managers of the management center for analysis to obtain a preventive strategy;

[0030] When warning signal one and warning signal two are generated at the same time, a landslide warning value is obtained based on the slope protection warning value and the environmental warning value, and the landslide warning value is sent to relevant managers of the management center for analysis to obtain a prevention strategy; a warning result is obtained based on the slope protection warning value, the environmental warning value and the landslide warning value.

[0031] Compared with the existing technology, the above technical solution of the present invention has the following beneficial technical effects: historical slope protection data, historical environmental data and slope protection basic data are obtained, and a slope protection model is constructed based on the slope protection basic data; real-time slope protection data and real-time environmental data are obtained through the slope protection model, thereby improving the accuracy and efficiency of real-time monitoring;

[0032] Analyze historical slope protection data and historical environmental data to obtain historical slope protection curves and reference environmental impact values, which will help optimize slope management;

[0033] Based on the historical slope protection status values ​​and historical environmental impact values, a slope prediction model and a protection prediction model are constructed. Based on the slope prediction model and the protection prediction model, slope protection prediction results are obtained, which helps to predict the landslide disaster risk and help improve the efficiency of emergency response;

[0034] Based on the slope protection prediction results, real-time slope data and real-time environmental data, the slope protection trend value and real-time slope protection status value are obtained. Early warning is issued through the slope protection trend value, real-time slope protection status value, reference environmental impact value and real-time environmental impact value to obtain early warning results, improve slope safety, reduce casualties and property losses, and improve disaster prevention and control efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A schematic diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0036] like Figure 1As shown, the present invention proposes a slope protection net early warning system, including a management center, which is communicatively connected to a data acquisition module, a data analysis module, a data processing module, and a slope early warning module:

[0037] The data acquisition module is used to obtain historical slope protection data, historical environmental data and basic slope protection data, and build a slope protection model based on the basic slope protection data; and obtain real-time slope protection data and real-time environmental data through the slope protection model;

[0038] Data analysis module, used to analyze historical slope protection data and historical environmental data to obtain historical slope protection curves and reference environmental impact values;

[0039] A data processing module is used to construct a slope prediction model and a protection prediction model based on historical slope protection status values ​​and historical environmental impact values, and obtain slope protection prediction results based on the slope prediction model and the protection prediction model;

[0040] The slope early warning module is used to obtain the slope protection trend value and the real-time slope protection status value based on the slope protection prediction results, real-time slope data and real-time environmental data, and to issue early warnings through the slope protection trend value, real-time slope protection status value, reference environmental impact value and real-time environmental impact value to obtain early warning results.

[0041] It should be further explained that, in the specific implementation process, the historical slope protection data, historical environmental data and basic slope protection data are obtained, and the slope protection model is constructed based on the basic slope protection data; and the real-time slope protection data and real-time environmental data are obtained through the slope protection model. The process is as follows:

[0042] The historical slope data includes historical slope displacement, historical slope vibration frequency, historical slope angle offset value, historical protection force value and historical time; the historical environmental data includes historical rainfall and historical soil moisture; the slope protection basic data includes slope foundation structure and protection net foundation structure;

[0043] Based on the slope foundation structure and protection net foundation structure of the slope protection basic data, the protection net foundation structure is combined with the slope foundation structure to obtain a slope protection model; the slope protection model is divided into grid areas, which are recorded as slope areas and protection areas;

[0044] The real-time slope protection data includes real-time slope data and real-time protection force values. Slope monitoring points and protection monitoring points are respectively set in the slope area and the protection area. The slope monitoring points are used to obtain real-time slope data. The real-time slope data includes real-time slope displacement, real-time slope vibration frequency and real-time slope angle offset value. The protection monitoring points are used to obtain real-time protection force values. Environmental monitoring points are set, and the environmental monitoring points are used to obtain real-time environmental data. The real-time environmental data includes real-time rainfall and real-time soil moisture. Low-power wireless networking technology is used to upload the monitoring data to the management center.

[0045] It should be further explained that, during the specific implementation process, the historical slope protection data and historical environmental data are analyzed to obtain the historical slope protection curve and reference environmental impact value.

[0046] Establish two-dimensional coordinate systems for historical slope displacement, historical slope vibration frequency, historical slope angle offset value, and historical protective force value in historical time, and generate historical slope displacement curve, historical slope vibration frequency curve, historical slope angle offset value curve, and historical protective force value curve according to the obtained historical slope displacement, historical slope vibration frequency, historical slope angle offset value, and historical protective force value;

[0047] The generated historical slope displacement curve, historical slope vibration frequency curve, historical slope angle offset value curve and historical protection force value curve are respectively mapped into a two-dimensional coordinate system, and the historical slope displacement curve, historical slope vibration frequency curve, historical slope angle offset value curve and historical protection force value curve are recorded as historical slope protection curves;

[0048] Through deep learning analysis of several sets of historical environmental data through big data, critical data for landslide occurrence is obtained, which is recorded as reference environmental data. The reference environmental data includes reference rainfall and reference soil moisture. A reference environmental coefficient is set, and the reference environmental coefficient, reference rainfall and reference soil moisture are multiplied to obtain the reference environmental impact value.

[0049] It should be further explained that, in the specific implementation process, the slope prediction model and the protection prediction model are constructed based on the historical slope protection status values ​​and the historical environmental impact values. The process of obtaining the slope protection prediction results based on the slope prediction model and the protection prediction model is as follows:

[0050] Using several sets of historical slope displacements and historical slope angle offset values ​​of historical slope protection curves as training sets and test sets, and inputting the training sets and test sets into a slope prediction model, training the slope prediction model to obtain a trained slope prediction model, and outputting corresponding slope displacement prediction curves and slope angle prediction curves, respectively obtaining predicted values ​​and curve slopes of the slope displacement prediction curve and the slope angle prediction curve, which are recorded as slope predicted displacement, slope predicted angle, displacement trend coefficient, and angle trend coefficient;

[0051] Several groups of historical slope vibration frequency curves and historical protection force value curves of historical slope protection curves are used as training sets and test sets, and the training sets and test sets are input into the protection prediction model, the protection prediction model is trained, and the protection prediction model after training is obtained, and the corresponding slope vibration prediction curve and protection force prediction curve are output, and the predicted values ​​and curve slopes of the slope vibration prediction curve and the protection force prediction curve are respectively obtained, which are recorded as slope predicted vibration, protection predicted force, vibration trend coefficient and force trend coefficient, and the displacement trend coefficient, angle trend coefficient, displacement trend coefficient and angle trend coefficient are recorded as slope protection prediction results.

[0052] It should be further explained that, in the specific implementation process, the slope protection trend value and the real-time slope protection status value are obtained based on the slope protection prediction results, real-time slope data and real-time environmental data. Early warning is issued based on the slope protection trend value, real-time slope protection status value, reference environmental impact value and real-time environmental impact value. The process of obtaining the early warning result is as follows:

[0053] The displacement trend coefficient is multiplied by the predicted displacement of the slope, the angle trend coefficient is multiplied by the predicted angle of the slope, and the predicted vibration of the slope is multiplied by the vibration trend coefficient. The ratio of the obtained product calculation result to the product calculation result of the predicted protection force and the force trend coefficient is calculated to obtain the slope protection trend value.

[0054] A slope protection correlation coefficient is set based on the real-time slope displacement, real-time slope vibration frequency, real-time slope angle offset value, and real-time protection force value of the real-time slope protection data. The slope protection correlation coefficient refers to the mutual influence relationship between the slope and the protection net. The product result of the real-time slope displacement, real-time slope vibration frequency, and real-time slope angle offset value is ratio-calculated with the real-time protection force value, and the obtained ratio calculation result is multiplied by the slope protection correlation coefficient to obtain the real-time slope protection status value;

[0055] Setting an environmental correlation coefficient, which refers to the combined effect of rainfall and soil moisture on the slope, and multiplying the environmental correlation coefficient, the real-time rainfall, and the real-time soil moisture to obtain a real-time environmental impact value;

[0056] Analyze the slope protection trend value and the real-time slope protection status value. When the real-time slope protection status value is greater than or equal to the slope protection trend value, generate a warning signal 1, and calculate the difference between the real-time slope protection status value and the slope protection trend value to obtain the slope protection warning value. Send the warning value and warning signal to the relevant management personnel of the management center for analysis to obtain a preventive strategy.

[0057] Analyze the reference environmental impact value and the real-time environmental impact value. When the real-time environmental impact value is greater than or equal to the reference environmental impact value, generate a second warning signal, and calculate the difference between the real-time environmental impact value and the reference environmental impact value to obtain an environmental warning value. Send the warning value and warning signal to relevant managers of the management center for analysis to obtain a preventive strategy.

[0058] When warning signal one and warning signal two are generated at the same time, the slope protection warning value and the environmental warning value are multiplied to obtain the landslide warning value, and the landslide warning value is sent to the relevant management personnel of the management center for analysis to obtain a prevention strategy; the slope protection warning value, the environmental warning value and the landslide warning value are recorded as the warning results.

Claims

1. A slope protection net early warning system, including a management center, characterized in that: The management center is connected to the data acquisition module, data analysis module, data processing module and slope warning module: The data acquisition module is used to obtain historical slope protection data, historical environmental data and basic slope protection data, and build a slope protection model based on the basic slope protection data; and obtain real-time slope protection data and real-time environmental data through the slope protection model; Data analysis module, used to analyze historical slope protection data and historical environmental data to obtain historical slope protection curves and reference environmental impact values; A data processing module is used to construct a slope prediction model and a protection prediction model based on historical slope protection status values ​​and historical environmental impact values, and obtain slope protection prediction results based on the slope prediction model and the protection prediction model; The slope early warning module is used to obtain the slope protection trend value and the real-time slope protection status value based on the slope protection prediction results, real-time slope data and real-time environmental data, and to issue early warnings through the slope protection trend value, real-time slope protection status value, reference environmental impact value and real-time environmental impact value to obtain early warning results.

2. A slope protection net early warning system according to claim 1, characterized in that: The process of obtaining historical slope protection data, historical environmental data, and basic slope protection data, building a slope protection model based on the basic slope protection data, and obtaining real-time slope protection data and real-time environmental data through the slope protection model includes: Historical slope data includes historical slope displacement, historical slope vibration frequency, historical slope angle offset value, historical protection force value and historical time; historical environmental data includes historical rainfall and historical soil moisture; slope protection foundation data includes slope foundation structure and protection net foundation structure; Obtain a slope protection model based on the slope foundation structure and the protection net foundation structure, and obtain a slope area and a protection area based on the slope protection model; Real-time slope protection data includes real-time slope data and real-time protection force values. Slope monitoring points, protection monitoring points and environmental monitoring points are set. Real-time slope data includes real-time slope displacement, real-time slope vibration frequency and real-time slope angle offset value. Real-time environmental data includes real-time rainfall and real-time soil moisture.

3. A slope protection net early warning system according to claim 2, characterized in that: The process of analyzing historical slope protection data and obtaining historical slope protection curves includes: According to historical time, historical slope displacement, historical slope vibration frequency, historical slope angle offset value and historical protection force value, a historical slope displacement curve, a historical slope vibration frequency curve, a historical slope angle offset value curve and a historical protection force value curve are obtained; The historical slope protection curve is obtained based on the historical slope displacement curve, the historical slope vibration frequency curve, the historical slope angle offset value curve and the historical protection force value curve.

4. A slope protection net early warning system according to claim 3, characterized in that: The process of analyzing historical environmental data and obtaining reference environmental impact values ​​includes: Based on several sets of historical environmental data, reference environmental data are obtained, the reference environmental data including reference rainfall and reference soil moisture, a reference environmental coefficient is set, and a reference environmental impact value is obtained based on the reference environmental coefficient, reference rainfall and reference soil moisture.

5. A slope protection net early warning system according to claim 4, characterized in that: According to the historical slope protection status values ​​and historical environmental impact values, the process of constructing the slope prediction model is as follows: The historical slope displacements and historical slope angle offset values ​​of several groups of historical slope protection curves are used as training sets and test sets, and the training sets and test sets are input into the slope prediction model. The slope prediction model is trained to obtain the trained slope prediction model, and the corresponding slope displacement prediction curves and slope angle prediction curves are output to obtain the slope prediction displacement, slope prediction angle, displacement trend coefficient and angle trend coefficient.

6. A slope protection net early warning system according to claim 1 or 5, characterized in that: Based on the historical slope protection status values ​​and historical environmental impact values, a protection prediction model is constructed. The process of obtaining the slope protection prediction results based on the slope prediction model and the protection prediction model includes: Several groups of historical slope vibration frequency curves and historical protection force value curves of historical slope protection curves are used as training sets and test sets, and the training sets and test sets are input into the protection prediction model, the protection prediction model is trained, and the protection prediction model after training is obtained, and the corresponding slope vibration prediction curve and protection force prediction curve are output to obtain the slope prediction vibration, protection prediction force, vibration trend coefficient and force trend coefficient, and the slope protection prediction result is obtained according to the displacement trend coefficient, angle trend coefficient, displacement trend coefficient and angle trend coefficient.

7. The slope protection net early warning system according to claim 6, characterized in that: The process of obtaining slope protection trend values ​​and real-time slope protection status values ​​based on slope protection prediction results, real-time slope data, and real-time environmental data includes: Obtain the slope protection trend value based on the displacement trend coefficient, slope predicted displacement, angle trend coefficient, slope predicted angle, slope predicted vibration, vibration trend coefficient, protection predicted force, and force trend coefficient; According to the real-time slope displacement, real-time slope vibration frequency, real-time slope angle offset value and real-time protection force value of the real-time slope protection data, the slope protection correlation coefficient is set; according to the real-time slope displacement, real-time slope vibration frequency, real-time slope angle offset value, real-time protection force value and slope protection correlation coefficient, the real-time slope protection status value is obtained.

8. The slope protection net early warning system according to claim 7, characterized in that: Early warning is carried out through slope protection trend value, real-time slope protection status value, reference environmental impact value and real-time environmental impact value. The process of obtaining early warning results includes: Set the environmental correlation coefficient, and obtain the real-time environmental impact value based on the environmental correlation coefficient, real-time rainfall, and real-time soil moisture; Analyze the slope protection trend value and the real-time slope protection status value to obtain a warning signal 1, and obtain a slope protection warning value based on the calculated real-time slope protection status value and the slope protection trend value; send the warning value and warning signal to the relevant management personnel of the management center for analysis to obtain a preventive strategy; Analyze the reference environmental impact value and the real-time environmental impact value to obtain a second early warning signal, and obtain an environmental early warning value based on the real-time environmental impact value and the reference environmental impact value; send the early warning value and the early warning signal to relevant managers of the management center for analysis to obtain a preventive strategy; When warning signal one and warning signal two are generated at the same time, a landslide warning value is obtained based on the slope protection warning value and the environmental warning value, and the landslide warning value is sent to relevant managers of the management center for analysis to obtain a prevention strategy; a warning result is obtained based on the slope protection warning value, the environmental warning value and the landslide warning value.

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