High slope deformation early warning method based on Beidou system

Abstract

The invention relates to the technical field of environment early warning, and discloses a high slope deformation early warning method based on a Beidou system, which comprises the steps of data acquisition, data preprocessing, deformation analysis, risk judgment and signal transmission, and is characterized in that position information of high slope monitoring points is accurately acquired by using a Beidou positioning terminal; data preprocessing is scientific and effective, abnormal values are accurately judged and replaced by calculating displacement vectors, direction vectors and the like, and data quality and continuity are guaranteed; deformation analysis is comprehensive, a plurality of characteristic parameters are obtained, and the deformation condition and the change trend of the high slope are reflected; risk judgment is accurate, early warning signals of different grades are generated through comparison with a preset feature threshold value, and relevant departments can take protection measures in a targeted mode; the high-efficiency signal transmission ensures that early warning signals are timely sent to related departments, the emergency response efficiency is improved, the high slope disaster risk is reduced, and powerful technical support is provided for high slope safety management.

Description

Technical Field

[0001] The present invention relates to the field of environmental early warning technology, and in particular to a high slope deformation early warning method based on the Beidou system. Background Art

[0002] With the continuous advancement of infrastructure construction, high slopes are becoming more and more common in highway, railway, water conservancy and other projects. The stability of high slopes is crucial to the safe operation of the project. Once high slopes are deformed or even suffer disasters such as landslides, they will pose a serious threat to people's lives, property and engineering facilities. Traditional high slope monitoring methods mainly rely on manual measurement, which is not only inefficient but also has limited accuracy, making it difficult to meet the needs of real-time and accurate monitoring of high slopes. With the continuous development and improvement of the Beidou satellite navigation system, its high-precision positioning function provides a new solution for high slope deformation monitoring.

[0003] The BeiDou system has the advantages of global coverage, high-precision positioning, and real-time monitoring, and can achieve all-weather, continuous monitoring of high slopes. By setting monitoring points on high slopes and using BeiDou positioning terminals to collect the location information of the monitoring points, including longitude, latitude, and elevation, the deformation of high slopes can be grasped in real time. However, due to various factors, the collected location information may contain outliers, which will affect the accuracy of deformation analysis. Therefore, it is necessary to preprocess the collected location information to remove outliers and improve the quality of the data.

[0004] In addition, in order to timely discover the risks of high slopes, it is necessary to conduct deformation analysis on the high slopes, make risk assessments based on the analysis results, and generate risk warning signals of corresponding levels. Finally, the warning signals are sent to relevant departments so that protective measures can be taken in time to ensure the safety and stability of the high slopes.

[0005] In summary, the high slope deformation early warning method based on the Beidou system has important practical significance and application value. Summary of the invention

[0006] The purpose of the present invention is to provide a high slope deformation early warning method based on the Beidou system, which solves the technical problems raised in the background technology.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A high slope deformation early warning method based on Beidou system includes the following steps:

[0009] Step 1: Data Collection

[0010] Use Beidou positioning terminals to set up monitoring points on high slopes and regularly collect location information of the monitoring points, including longitude, latitude and elevation;

[0011] Among them, the frequency of collection for regular collection is pre-set by relevant personnel;

[0012] Step 2: Data Preprocessing

[0013] Preprocess the location information of the monitoring points, and then replace the abnormal values ​​in the location information according to the preprocessing results;

[0014] Step 3: Deformation Analysis

[0015] According to the pre-processed position information, deformation analysis is performed on the high slope, and then characteristic parameters of the high slope are obtained according to the analysis results;

[0016] Step 4: Risk determination

[0017] Extract the characteristic parameters of the high slope, compare and judge them with the preset characteristic threshold, and determine whether there is a risk in the high slope based on the comparison and judgment results, and generate a warning signal of the corresponding level;

[0018] Step 5: Signal Transmission

[0019] The generated early warning signal will be sent to relevant departments so that they can take timely protective measures on the high slopes.

[0020] As a further solution of the present invention: the pretreatment method is as follows:

[0021] SS1. Obtain multiple sets of location information collected within a specified period and mark them as E according to the time trend. i =(X i , Y i , Z i );

[0022] Wherein, i = 1, 2, ... n, n represents the number of location information collected from monitoring points regularly within a specified period;

[0023] Where n is obtained by n=T0 / μ, where T0 is the total duration in the specified period, μ is the acquisition frequency of regular acquisition, and n is also expressed as the number of acquisition time nodes in the specified period;

[0024] Among them, X i Indicates the number of collection time nodes in the specified period to obtain the longitude, Y i Indicates the number of acquisition time nodes in the specified period to obtain the latitude, Z i Indicates the number of acquisition time nodes in the specified period at which the elevation is obtained;

[0025] SS2, obtain the location information of adjacent acquisition time nodes;

[0026] Then through Wi =(X i -X i-1 , Y i -Y i-1 , Z i -Z i-1 ), calculate the displacement vector W of the corresponding position information of each adjacent acquisition time node i ;

[0027] Then through Calculate the displacement vector modulus |W| of the position information corresponding to each adjacent acquisition time node;

[0028] Then pass Calculate the direction vector W1 of the corresponding position information of each adjacent acquisition time node i ;

[0029] SS3, find the direction vector W1 of the corresponding position information of all adjacent acquisition time nodes i The average value of , and mark it as the main direction vector WP;

[0030] in,

[0031]

[0032] SS4, through

[0033] Calculate the corresponding E i The cosine value of the corresponding angle;

[0034] Among them, |W1 i | and |WP| are W1 respectively i and WP's model;

[0035] Then, through θ = arccos(cosθ)

[0036] Calculate the corresponding angle θ corresponding to Ei;

[0037] SS5, then compare θ with the preset angle threshold θ y For comparison:

[0038] If θ≤θ y , then determine the location information E i =(X i , Y i , Z i ) is not an outlier;

[0039] If θ>θ y , then determine the location information E i =(X i , Y i , Zi ) are outliers;

[0040] Then obtain the location information of the two collection time nodes adjacent to the collection time node corresponding to the location information: E i-1 =(X i-1 , Y i-1 , Z i-1 ) and E i-1 =(X i+1 , Y i+1 , Z i+1 );

[0041] and through

[0042] Calculate the replacement value ET of the location information corresponding to the acquisition time node;

[0043] Then the corresponding location information E of the acquisition time node i Replaced with ET.

[0044] As a further solution of the present invention: the deformation analysis method is as follows:

[0045] SK1. Re-mark multiple sets of position information pre-processed within a specified period as U according to the time trend. i =(A i , B i , C i );

[0046] Among them, A i Corresponding to X i , B i Corresponding to Y i , C i Corresponding to Z i ;

[0047] SK2, obtain the location information of adjacent collection time nodes;

[0048] Then through Calculate the first deformation D corresponding to each adjacent acquisition time node of the monitoring point i ;

[0049] At the same time through Calculate the second deformation D0 of the high slope corresponding to the monitoring point within the specified period;

[0050] SK3. Determine the interval between adjacent collection time nodes based on the collection frequency and mark it as t;

[0051] Then through V i =D i / t, calculate the high slope corresponding to the monitoring point U iThe first deformation rate V corresponding to the acquisition time node i ;

[0052] At the same time, the second deformation rate V0 of the high slope corresponding to the monitoring point in the specified period is calculated by V0=D0 / T0;

[0053] SK4, through J i =V i -V i-1 / t, calculate the high slope corresponding to the monitoring point at U i Corresponding to the deformation acceleration J at the acquisition time node i ;

[0054] Among them, V i-1 For U i The deformation rate at the previous adjacent time node corresponding to the acquisition time node.

[0055] As a further solution of the present invention: the comparison and determination method is as follows:

[0056] SY1. Extract the corresponding preset first deformation threshold D y1 , the first deformation threshold 2 D2 y1 and the first deformation threshold three D3 y1 , and D y1 <D2 y1 <D3 y1 ;

[0057] At the same time, the corresponding preset second deformation threshold D is extracted y2 , the second deformation threshold D2 y2 and the second deformation threshold three D3 y2 , and D y2 <D2 y2 <D3 y2 ;

[0058] At the same time, the corresponding preset first rate threshold V is extracted y1 , first rate threshold 2 V2 y1 and the first rate threshold three V3 y1 , and V y1 <V2 y1 <V3 y1 ;

[0059] At the same time, the corresponding preset second rate threshold V is extracted y2 , the second rate threshold 2 V2 y2 and the second rate threshold three V3 y2 , and V y2 <V2 y2 <V3 y2 ;

[0060] At the same time, the corresponding preset deformation acceleration J is extracted y 、Deformation acceleration J2 y and deformation acceleration J3 y , and J y <J2 y <J3 y ;

[0061] SY2. Extract the first shape D i , the second deformation amount D0, the first deformation rate V i , the second deformation rate V0, deformation acceleration J i ;

[0062] SY3. Set the first deformation D i , the second deformation amount D0, the first deformation rate V i , the second deformation rate V0, deformation acceleration J i Defined as the eigenvector factor G∈[D i ,D0,V i ,V0,J i ]

[0063] The first deformation threshold D y1 , the second deformation threshold D y2 , the first rate threshold V y1 , the second rate threshold V y2 , deformation acceleration J y Defined as the feature vector threshold G y ∈[D y1 , D y2 , V y1 , V y2 , J y ];

[0064] Set the first deformation threshold D2 y1 , the second deformation threshold D2 y2 , first rate threshold 2 V2 y1 , first rate threshold 2 V2 y1 、Deformation acceleration 2 J2 y Defined as the feature vector threshold G2 y ∈[D2 y1 , D2 y2 , V2 y1 , V2 y2 , J2 y ];

[0065] Set the first deformation threshold to D3 y1 , the second deformation threshold three D3 y2 , the first rate threshold three V3 y1 , the second rate threshold three V3 y2, deformation acceleration three J3 y Defined as feature vector threshold three G3 y ∈[D3 y1 , D3 y2 , V3 y1 , V3 y2 , J3 y ];

[0066] SY4. Combine the eigenvector factor G and the eigenvector threshold G y Feature vector threshold 2 G2 y , Feature vector threshold three G3 y For comparison:

[0067] When G≤G y , and D i ≤D y1 ,D0≤D y2 ,V i ≤V y1 ,V0≤V y2 ,J i ≤J y If all are true, no warning signal will be generated;

[0068] If in D i ≤D y1 ,D0≤D y2 ,V i ≤V y1 ,V0≤V y2 ,J i ≤J y When any one of the following is not true:

[0069] When G y <G≤G2 y , a first-level warning signal is generated, which indicates that there is a slight risk on the high slope;

[0070] When G2 y <G≤G3 y , then a level 2 warning signal is generated, which indicates that there is a medium risk on the high slope;

[0071] When G>G3 y , a level 3 warning signal is generated, which indicates that there is a serious risk on the high slope.

[0072] Beneficial effects of the present invention:

[0073] The present invention uses the Beidou positioning terminal to set monitoring points on the high slope, and can accurately collect the longitude, latitude and elevation information of the monitoring points, providing an accurate data basis for high slope deformation analysis.

[0074] The present invention can effectively identify and replace abnormal values ​​by preprocessing the monitoring point position information, thereby ensuring the accuracy of subsequent deformation analysis.

[0075] The present invention calculates the displacement vector, modulus and direction vector of adjacent acquisition time nodes, and obtains the average value to obtain the main direction vector, thereby judging whether the position information is an abnormal value, thereby improving the reliability of the data.

[0076] The present invention, for abnormal values, performs calculation replacement through the position information of two adjacent acquisition time nodes, so as to further ensure the continuity and accuracy of the data.

[0077] The present invention performs deformation analysis on the preprocessed position information, calculates characteristic parameters such as the first deformation variable, the second deformation variable, the first deformation rate, the second deformation rate and the deformation acceleration of the high slope at each acquisition time node, and comprehensively reflects the deformation of the high slope.

[0078] The present invention determines the interval duration between adjacent acquisition time nodes according to the acquisition frequency, and then calculates the deformation rate and deformation acceleration, so that the analysis result is more scientific and reasonable.

[0079] The present invention presets characteristic thresholds of different levels, including a first deformation threshold, a second deformation threshold, a first rate threshold, a second rate threshold and a deformation acceleration threshold, etc. By comparing the characteristic vector factor of the high slope with these thresholds, the risk level of the high slope can be accurately determined.

[0080] The present invention generates corresponding warning signals according to the risk level, which are divided into level one warning, level two warning and level three warning, to provide clear risk reminders to relevant departments, so as to facilitate timely adoption of protective measures.

[0081] The present invention sends the generated early warning signal to the relevant departments, ensuring that the relevant departments can timely understand the risk situation of the high slope, so as to respond quickly and take effective protective measures to reduce the safety hazards caused by the deformation of the high slope. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] The present invention will be further described below in conjunction with the accompanying drawings.

[0083] Figure 1 It is a system block diagram of a high slope deformation early warning method based on the Beidou system of the present invention. DETAILED DESCRIPTION

[0084] The following will be combined with the drawings in the embodiments of 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.

[0085] Embodiment 1

[0086] See also Figure 1 As shown, the present invention is a high slope deformation early warning method based on the Beidou system, comprising the following steps:

[0087] Step 1: Data Collection

[0088] Use Beidou positioning terminals to set up monitoring points on high slopes and regularly collect location information of the monitoring points, including longitude, latitude and elevation;

[0089] In this embodiment, the frequency of periodic collection is adjusted according to the actual situation. In the embodiment, the frequency of periodic collection is once per hour.

[0090] Step 2: Data preprocessing

[0091] Preprocess the location information of the monitoring points, and then replace the abnormal values ​​in the location information according to the preprocessing results;

[0092] The specific method is as follows:

[0093] SS1. Obtain multiple sets of location information collected within a specified period and mark them as E according to the time trend. i =(X i , Y i , Z i );

[0094] Wherein, i = 1, 2, ... n, n represents the number of location information collected from monitoring points regularly within a specified period;

[0095] In this embodiment, n is obtained by n=T0 / μ, where T0 is the total duration in the specified period, μ is the acquisition frequency of periodic acquisition, and n is also represented as the number of acquisition time nodes in the specified period;

[0096] Among them, X i Indicates the number of collection time nodes in the specified period to obtain the longitude, Y i Indicates the number of acquisition time nodes in the specified period to obtain the latitude, Z i Indicates the number of acquisition time nodes in the specified period at which the elevation is obtained;

[0097] SS2, obtain the location information of adjacent acquisition time nodes;

[0098] Then through W i =(X i -X i-1 , Y i -Y i-1 , Z i -Z i-1 ), calculate the displacement vector W of the corresponding position information of each adjacent acquisition time node i ;

[0099] Then through Calculate the displacement vector modulus |W| of the position information corresponding to each adjacent acquisition time node;

[0100] Then pass Calculate the direction vector W1 of the corresponding position information of each adjacent acquisition time node i ;

[0101] SS3, find the direction vector W1 of the corresponding position information of all adjacent acquisition time nodes i The average value of , and mark it as the main direction vector WP;

[0102] in,

[0103]

[0104] SS4, through

[0105] Calculate the corresponding E i The cosine value of the corresponding angle;

[0106] Among them, |W1 i | and |WP| are W1 respectively i and WP's model;

[0107] Then, through θ = arccos(cosθ)

[0108] Calculate the corresponding angle θ corresponding to Ei;

[0109] SS5, then compare θ with the preset angle threshold θ y For comparison:

[0110] If θ≤θ y , then determine the location information E i =(X i , Y i , Z i ) is not an outlier;

[0111] If θ>θ y , then determine the location information Ei =(X i , Y i , Z i ) are outliers;

[0112] Then obtain the location information of the two collection time nodes adjacent to the collection time node corresponding to the location information: E i-1 =(X i-1 , Y i-1 , Z i-1 ) and E i-1 =(X i+1 , Y i+1 , Z i+1 );

[0113] and through

[0114] Calculate the replacement value ET of the location information corresponding to the acquisition time node;

[0115] Then the corresponding location information E of the acquisition time node i Replaced with ET;

[0116] Step 3: Deformation Analysis

[0117] Based on the pre-processed position information, the deformation analysis of the high slope is carried out, and then according to the analysis results, it is determined whether the high slope has risks and a risk warning signal is generated;

[0118] The deformation analysis method is as follows:

[0119] SK1. Re-mark multiple sets of position information pre-processed within a specified period as U according to the time trend. i =(A i , B i , C i );

[0120] Among them, A i Corresponding to X i , B i Corresponding to Y i , C i Corresponding to Z i ;

[0121] SK2, obtain the location information of adjacent collection time nodes;

[0122] Then through Calculate the first deformation D corresponding to each adjacent acquisition time node of the high slope corresponding to the monitoring point i ;

[0123] At the same time through Calculate the second deformation D0 of the high slope corresponding to the monitoring point within the specified period;

[0124] SK3. Determine the interval between adjacent collection time nodes based on the collection frequency and mark it as t;

[0125] Then through V i =D i / t, calculate the high slope corresponding to the monitoring point U i The first deformation rate V corresponding to the acquisition time node i ;

[0126] At the same time, the second deformation rate V0 of the high slope corresponding to the monitoring point in the specified period is calculated by V0=D0 / T0;

[0127] SK4, through J i =V i -V i-1 / t, calculate the high slope corresponding to the monitoring point at U i Corresponding to the deformation acceleration J at the acquisition time node i ;

[0128] Among them, V i-1 For U i The deformation rate at the previous adjacent time node of the corresponding acquisition time node;

[0129] SK5. Set the first deformation D i , the second deformation amount D0, the first deformation rate V i , the second deformation rate V0, deformation acceleration J i Respectively with the preset first deformation threshold D y1 , the second deformation threshold D y2 , the first rate threshold V y1 , the second rate threshold V y2 , deformation acceleration J y For comparison:

[0130] When the first deformation D i >First deformation threshold D y1 , then an early warning signal is generated;

[0131] When the second deformation amount D0> the second deformation threshold D y2 , then an early warning signal is generated;

[0132] When the first deformation rate V i >First rate threshold V y1 , then an early warning signal is generated;

[0133] When the second deformation rate V0> the second rate threshold V y2 , then an early warning signal is generated;

[0134] When the deformation acceleration J i >Deformation acceleration J y , then an early warning signal is generated;

[0135] When the above comparison results are not established, no warning signal is generated;

[0136] Step 4: Signal Transmission

[0137] Send the generated early warning signal to relevant departments so that they can take timely protective measures on high slopes;

[0138] This embodiment uses the Beidou positioning terminal to set up monitoring points on the high slope to collect position information, so as to realize accurate monitoring of the high slope; by regularly collecting position information, the deformation dynamics of the high slope can be timely grasped; the position information is pre-processed and abnormal values ​​are replaced, which improves the accuracy and reliability of the data and provides a more reliable data basis for subsequent deformation analysis; deformation analysis of the high slope can determine whether the high slope has risks and generate risk warning signals based on the analysis results, so as to facilitate relevant departments to carry out protective treatment on the high slope in time and effectively prevent the occurrence of high slope disasters.

[0139] Embodiment 2

[0140] As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of the present embodiment is different from that of the first embodiment only in that:

[0141] There is also a corresponding value greater than the first deformation threshold D y1 The first deformation threshold D2 y1 and the first deformation threshold three D3 y1 , and D y1 <D2 y1 <D3 y1 ;

[0142] When D i ≤D y1 , no warning signal is generated;

[0143] When D y1 <D i ≤D2 y1 , a first-level warning signal is generated, which indicates that there is a slight risk on the high slope;

[0144] When D2 y1 <D i ≤D3 y1 , then a level 2 warning signal is generated, which indicates that there is a medium risk on the high slope;

[0145] When D i>D3 y1 , then a level 3 warning signal is generated, which indicates that there is a serious risk on the high slope;

[0146] There is also a corresponding value greater than the second deformation threshold D y2 The second deformation threshold D2 y2 and the second deformation threshold three D3 y2 , and D y2 <D2 y2 <D3 y2 ;

[0147] When D0≤D y2 , no warning signal is generated;

[0148] When D y2 <D0≤D2 y2 , a first-level warning signal is generated;

[0149] When D2 y2 <D0≤D3 y2 , a secondary warning signal is generated;

[0150] When D0>D3 y2 , a third-level warning signal is generated;

[0151] There is also a corresponding value greater than the first rate threshold V y1 The first rate threshold V2 y1 and the first rate threshold three V3 y1 , and V y1 <V2 y1 <V3 y1 ;

[0152] When V i ≤V y1 , no warning signal is generated;

[0153] When V y1 <V i ≤V2 y1 , a first-level warning signal is generated;

[0154] When V2 y1 <V i ≤V3 y1 , a secondary warning signal is generated;

[0155] When V i >V3 y1 , a third-level warning signal is generated;

[0156] A value greater than the second rate threshold V y2 The second rate threshold V2 y2 and the second rate threshold three V3 y2 , and Vy2 <V2 y2 <V3 y2 ;

[0157] When V0≤V y2 , no warning signal is generated;

[0158] When V y2 <V0≤V2 y2 , a first-level warning signal is generated;

[0159] When V2 y2 <V0≤V3 y2 , a secondary warning signal is generated;

[0160] When V0>V3 y2 , a third-level warning signal is generated;

[0161] There is also a corresponding acceleration greater than the deformation acceleration J y The deformation acceleration J2 y and deformation acceleration J3 y , and J y <J2 y <J3 y ;

[0162] When J i ≤J y , no warning signal is generated;

[0163] When J y <J i ≤J2 y , a first-level warning signal is generated;

[0164] When J2 y <J i ≤J3 y , a secondary warning signal is generated;

[0165] When J i >J3 y , a third-level warning signal is generated.

[0166] This embodiment further refines the warning level on the basis of the first embodiment. By setting a plurality of deformation thresholds, rate thresholds and deformation acceleration thresholds of different levels, the risk level of the high slope can be more accurately assessed, and more specific guidance can be provided for relevant departments to take targeted protective measures; different levels of warning signals are generated, so that relevant departments can reasonably allocate resources according to the warning level, perform hierarchical management of high slopes, and improve the efficiency and effect of protective treatment.

[0167] Embodiment 3

[0168] As the third embodiment of the present invention, when the present application is implemented specifically, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments mentioned above for implementation, and the difference between the technical solution of this embodiment and those of the first and second embodiments is only that in this embodiment; a plurality of monitoring points are set on the high slope by using the Beidou positioning terminal, and then a multi-point early warning is performed according to the solutions of the first and second embodiments, so as to avoid the problem that the Beidou positioning terminal corresponding to a single monitoring point is abnormal and the safety hazard of the high slope cannot be discovered in time.

[0169] This embodiment combines the advantages of the first and second embodiments, and sets multiple monitoring points on the high slope for multi-point warning. This avoids the problem that the Beidou positioning terminal corresponding to a single monitoring point is abnormal and cannot timely discover the safety hazards of the high slope, and improves the reliability and accuracy of monitoring; the multi-point warning can more comprehensively grasp the overall deformation of the high slope, providing a more powerful guarantee for the safety management of the high slope.

[0170] Embodiment 4

[0171] As the fourth embodiment of the present invention, when the present application is specifically implemented, compared with the first, second and third embodiments, the technical solution of this embodiment is to combine and implement the solutions of the above-mentioned first, second, third and fourth embodiments.

[0172] This embodiment combines the advantages of the first, second and third embodiments, and further improves the high slope deformation early warning method. By combining and implementing multiple schemes, the accuracy, reliability and comprehensiveness of the early warning are improved; it can better adapt to the actual conditions of different high slopes and provide a more effective solution for the safety protection of high slopes.

[0173] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0174] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A high slope deformation early warning method based on Beidou system, characterized in that: The following steps are involved: Step 1: Data Collection Using Beidou positioning terminals to set up monitoring points on high slopes, and regularly collect location information of the monitoring points, including longitude, latitude and elevation; Step 2: Data Preprocessing Preprocess the location information of the monitoring points, and then replace the abnormal values ​​in the location information according to the preprocessing results; Step 3: Deformation Analysis According to the pre-processed position information, deformation analysis is performed on the high slope, and then characteristic parameters of the high slope are obtained according to the analysis results; Step 4: Risk determination Extract the characteristic parameters of the high slope, compare and judge them with the preset characteristic threshold, and determine whether there is a risk in the high slope based on the comparison and judgment results, and generate a warning signal of the corresponding level; Step 5: Signal Transmission The generated early warning signal will be sent to relevant departments so that they can take timely protective measures on the high slopes.

2. The high slope deformation early warning method based on Beidou system according to claim 1 is characterized in that: The preprocessing method is as follows: SS1. Obtain multiple sets of location information collected within a specified period and mark them as E according to the time trend. i =(X i , Y i , Z i ); Wherein, i = 1, 2, ... n, n represents the number of location information collected from monitoring points regularly within a specified period; Among them, X i Indicates the number of collection time nodes in the specified period to obtain the longitude, Y i Indicates the number of acquisition time nodes in the specified period to obtain the latitude, Z i Indicates the number of acquisition time nodes in the specified period at which the elevation is obtained; SS2, obtain the location information of adjacent acquisition time nodes; Then through W i =(X i -X i-1 , Y i -Y i-1 , Z i -Z i-1 ), calculate the displacement vector W of the corresponding position information of each adjacent acquisition time node i ; Then through Calculate the displacement vector modulus |W| of the position information corresponding to each adjacent acquisition time node; Then pass Calculate the direction vector W1 of the corresponding position information of each adjacent acquisition time node i ; SS3, find the direction vector W1 of the corresponding position information of all adjacent acquisition time nodes i The average value of , and mark it as the main direction vector WP; in, SS4, through Calculate the corresponding E i The cosine value of the corresponding angle; Among them, |W1 i | and |WP| are W1 respectively i and WP's model; Then, by θ=arccos(cosθ), the corresponding angle θ of Ei is calculated; SS5, then compare θ with the preset angle threshold θ y For comparison: If θ>θ y , then determine the location information E i =(X i , Y i , Z i ) are outliers; Then obtain the location information of the two collection time nodes adjacent to the collection time node corresponding to the location information: E i-1 =(X i-1 , Y i-1 , Z i-1 ) and E i-1 =(X i+1 , Y i+1 , Z i+1 ); and through Calculate the replacement value ET of the location information corresponding to the acquisition time node; Then the corresponding location information E of the acquisition time node i Replaced with ET.

3. The high slope deformation early warning method based on Beidou system according to claim 2 is characterized in that: In SS5, if θ≤θ y , then determine the location information E i =(X i , Y i , Z i ) is not an outlier.

4. The high slope deformation early warning method based on Beidou system according to claim 2 is characterized in that: in, n is obtained by n=T0 / μ, where T0 is the total duration in the specified period, μ is the collection frequency of regular collection, and n is also represented by the number of collection time nodes in the specified period.

5. The high slope deformation early warning method based on Beidou system according to claim 2 is characterized in that: The deformation analysis method is as follows: SK1. Re-mark multiple sets of position information pre-processed within a specified period as U according to the time trend. i =(A i , B i , C i ); Among them, A i Corresponding to X i , B i Corresponding to Y i , C i Corresponding to Z i ; SK2, obtain the location information of adjacent collection time nodes; Then through Calculate the first deformation D corresponding to each adjacent acquisition time node of the monitoring point i ; At the same time through Calculate the second deformation D0 of the high slope corresponding to the monitoring point within the specified period; SK3. Determine the interval between adjacent collection time nodes based on the collection frequency and mark it as t; Then through V i =D i / t, calculate the monitoring point U i The first deformation rate V corresponding to the acquisition time node i ; At the same time, the second deformation rate V0 of the high slope corresponding to the monitoring point in the specified period is calculated by V0=D0 / T0; SK4, through J i =V i -V i-1 / t, calculate the high slope corresponding to the monitoring point at U i Corresponding to the deformation acceleration J at the acquisition time node i ; Among them, V i-1 For U i The deformation rate at the previous adjacent time node corresponding to the acquisition time node.

6. The high slope deformation early warning method based on Beidou system according to claim 2 is characterized in that: in, The frequency of regular collection is pre-set by relevant personnel.

7. The high slope deformation early warning method based on Beidou system according to claim 5 is characterized in that: The preset feature thresholds include: i Corresponding to the preset first deformation threshold D y1 , the first deformation threshold 2 D2 y1 and the first deformation threshold three D3 y1 , and D y1 <D2 y1 <D3 y1 ; The second deformation threshold D preset corresponding to the second deformation amount D0 y2 , the second deformation threshold D2 y2 and the second deformation threshold three D3 y2 , and D y2 <D2 y2 <D3 y2 ; and the first deformation rate V i Corresponding to the preset first rate threshold V y1 , first rate threshold 2 V2 y1 and the first rate threshold three V3 y1 , and V y1 <V2 y1 <V3 y1 ; The second rate threshold V preset corresponding to the second deformation rate V0 y2 , the second rate threshold 2 V2 y2 and the second rate threshold three V3 y2 , and V y2 <V2 y2 <V3 y2 ; and deformation acceleration J i Corresponding to the preset deformation acceleration J y 、Deformation acceleration J2 y and deformation acceleration J3 y , and J y <J2 y <J3 y .

8. The high slope deformation early warning method based on Beidou system according to claim 7 is characterized in that: The comparison and judgment method is as follows: SY1, the first deformation D i , the second deformation amount D0, the first deformation rate V i , the second deformation rate V0, deformation acceleration J i Defined as the eigenvector factor G∈[D i ,D0,V i ,V0,J i ] SY2, set the first deformation threshold D y1 , the second deformation threshold D y2 , the first rate threshold V y1 , the second rate threshold V y2 , deformation acceleration J y Defined as the feature vector threshold G y ∈[D y1 , D y2 , V y1 , V y2 , J y ]; SY3, set the first deformation threshold D2 y1 , the second deformation threshold D2 y2 , first rate threshold 2 V2 y1 , first rate threshold 2 V2 y1 、Deformation acceleration J2 y Defined as the feature vector threshold G2 y ∈[D2 y1 , D2 y2 , V2 y1 , V2 y2 , J2 y ]; SY4. Set the first deformation threshold to D3 y1 , the second deformation threshold three D3 y2 , the first rate threshold three V3 y1 , the second rate threshold three V3 y2 , deformation acceleration three J3 y Defined as feature vector threshold three G3 y ∈[D3 y1 , D3 y2 , V3 y1 , V3 y2 , J3 y ]; SY5. Combine the eigenvector factor G and the eigenvector threshold G y Feature vector threshold 2 G2 y , Feature vector threshold three G3 y Make a comparison, and based on the comparison results, determine the risk level of the high slope and obtain a warning signal of the corresponding level.

9. The high slope deformation early warning method based on Beidou system according to claim 8 is characterized in that: In SY5, When G y <G≤G2 y , a first-level warning signal is generated, which indicates that there is a slight risk on the high slope; When G2 y <G≤G3 y , then a level 2 warning signal is generated, which indicates that there is a medium risk on the high slope; When G>G3 y , a level 3 warning signal is generated, which indicates that there is a serious risk on the high slope.

10. The high slope deformation early warning method based on Beidou system according to claim 8 is characterized in that: In SY5, when G≤G y , and D i ≤D y1 ,D0≤D y2 ,V i ≤V y1 ,V0≤V y2 ,J i ≤J y If all are true, no warning signal will be generated.

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