CN113642941B

CN113642941B - Slope safety state analysis method, device and equipment and readable storage medium

Info

Publication number: CN113642941B
Application number: CN202111195441.8A
Authority: CN
Inventors: 连静; 童心豪; 杨长卫
Original assignee: Chongqing University; Southwest Jiaotong University
Current assignee: Chongqing University; Southwest Jiaotong University
Priority date: 2021-10-14
Filing date: 2021-10-14
Publication date: 2022-01-07
Anticipated expiration: 2041-10-14
Also published as: CN113642941A

Abstract

The invention provides a slope safety state analysis method, a device, equipment and a readable storage medium, wherein the method comprises the following steps: acquiring monitoring data of each monitoring point on the slope in a first time period; calculating to obtain a horizontal response curve and an elevation response curve of each monitoring point according to the acceleration data, the displacement data and the speed data of each monitoring point; calculating to obtain an average state coefficient of the monitoring points according to the horizontal response curve and the elevation response curve of each monitoring point, and calculating to obtain a state coefficient and a stability coefficient of the slope based on the average state coefficient of each monitoring point; and calculating to obtain the safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope. The invention analyzes the state of the side slope by applying the vibration theory and the statistical method based on monitoring the acceleration, the speed and the displacement of the slope surface of the side slope, can avoid the defect that the damage and the stability of the side slope are judged only by the displacement, and further can reflect the damage characteristic in the side slope.

Description

Slope safety state analysis method, device and equipment and readable storage medium

Technical Field

The invention relates to the technical field of side slopes, in particular to a side slope safety state analysis method, a side slope safety state analysis device, side slope safety state analysis equipment and a readable storage medium.

Background

The existing slope safety monitoring method is mainly based on slope displacement monitoring, can not effectively reflect the damage characteristics and failure mechanism in the slope, and has lower accuracy for slope safety evaluation; in addition, no device for monitoring the acceleration, speed and displacement consistency of the interior and the surface of the side slope exists at present.

Disclosure of Invention

The present invention is directed to a method, an apparatus, a device and a readable storage medium for analyzing a slope safety status, so as to solve the above problems.

In order to achieve the above object, the embodiments of the present application provide the following technical solutions:

in one aspect, an embodiment of the present application provides a slope safety state analysis method, where the method includes:

acquiring monitoring data of each monitoring point on the slope in a first time period, wherein the monitoring data comprises acceleration data, displacement data and speed data;

calculating to obtain a horizontal response curve and an elevation response curve of each monitoring point according to the acceleration data, the displacement data and the speed data of each monitoring point;

calculating to obtain an average state coefficient of the monitoring points according to the horizontal response curve and the elevation response curve of each monitoring point, and calculating to obtain a state coefficient and a stability coefficient of the slope based on the average state coefficient of each monitoring point;

and calculating to obtain the safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope.

Optionally, the calculating a horizontal response curve and an elevation response curve of each monitoring point according to the acceleration data, the displacement data and the velocity data of each monitoring point includes:

performing baseline correction on the acceleration data and the speed data to obtain corrected acceleration data and corrected speed data;

filtering the corrected acceleration data, the corrected speed data and the displacement data by using a Hanning window to obtain the filtered acceleration data, displacement data and speed data;

and calculating to obtain a horizontal response curve and an elevation response curve of each monitoring point according to the filtered acceleration data, displacement data and speed data.

Optionally, the calculating the average state coefficient of each monitoring point according to the horizontal response curve and the elevation response curve of each monitoring point includes:

calculating to obtain a horizontal amplitude coefficient and an elevation amplitude coefficient of each monitoring point according to the horizontal response curve and the elevation response curve of each monitoring point;

calculating to obtain a horizontal fluctuation coefficient and an elevation fluctuation coefficient of each monitoring point according to the horizontal response curve, the elevation response curve, the horizontal amplitude coefficient and the elevation amplitude coefficient of each monitoring point;

and calculating to obtain the average state coefficient of each monitoring point according to the horizontal fluctuation coefficient and the elevation fluctuation coefficient of each monitoring point.

Optionally, the method for acquiring monitoring data of each monitoring point on the slope includes:

acquiring first input information, wherein the first input information comprises confirmation information of an assembled monitoring device, the monitoring device is used for acquiring monitoring data of each monitoring point, the monitoring device comprises a mounting box, a displacement sensor, a speed sensor and an acceleration sensor, the displacement sensor, the speed sensor and the acceleration sensor are all mounted in the mounting box, and gaps are reserved among the displacement sensor, the speed sensor and the acceleration sensor after the displacement sensor, the speed sensor and the acceleration sensor are mounted in the mounting box;

sending a first control command, wherein the first control command comprises a command for installing the monitoring devices on the slope according to an installation rule, and the installation rule comprises that the distance between two adjacent monitoring devices is less than or equal to 5 m;

acquiring second input information, wherein the second input information comprises confirmation information that the monitoring device is installed on the side slope;

and acquiring the monitoring data by using the monitoring device installed on the slope.

acquiring weight coefficients of the X-axis direction, the Y-axis direction and the Z-axis direction, multiplying the acceleration data filtered in the X-axis direction, the Y-axis direction and the Z-axis direction by corresponding weight coefficients respectively, multiplying the displacement data filtered in the X-axis direction, the Y-axis direction and the Z-axis direction by corresponding weight coefficients respectively, and multiplying the speed data filtered in the X-axis direction, the Y-axis direction and the Z-axis direction by corresponding weight coefficients respectively to obtain weighted acceleration data, weighted displacement data and weighted speed data;

and calculating to obtain a horizontal response curve and an elevation response curve of each monitoring point according to the weighted acceleration data, displacement data and speed data.

Optionally, after the safety state coefficient of the side slope is calculated according to the state coefficient and the stability coefficient of the side slope, the method further includes:

acquiring a slope safety state analysis table, wherein the slope safety state analysis table comprises different safety state coefficient ranges and safety levels corresponding to the different safety state coefficient ranges;

analyzing the safety state coefficient according to the slope safety state analysis table to obtain the range of the safety state coefficient and the safety level corresponding to the slope;

and generating a corresponding slope treatment measure according to the safety level corresponding to the slope, and treating the slope according to the slope treatment measure.

Optionally, after the state coefficient of the side slope is obtained through calculation, the method further includes:

analyzing the state coefficient, and if the state coefficient is more than or equal to 0.4 and less than 1, calculating to obtain a safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope; if the state coefficient is greater than or equal to 0.2 and smaller than 0.4, sending a second control command, wherein the second control command comprises a command for prohibiting vehicles around the side slope from approaching the side slope; and if the state coefficient is larger than 0 and smaller than 0.2, sending a third control command, wherein the third control command comprises a command for blocking the side slope and forbidding vehicles around the side slope to travel.

Optionally, after the stability coefficient of the side slope is obtained by calculation, the method further includes:

analyzing the stability coefficient, and if the state coefficient is greater than 0.3, sending a fourth control command, wherein the fourth control command comprises a command for prohibiting vehicles around the side slope from approaching the side slope; and if the state coefficient is less than or equal to 0.3, calculating to obtain the safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope.

In a second aspect, an embodiment of the present application provides a slope safety state analysis device, which includes a first obtaining module, a first calculating module, a second calculating module, and a third calculating module.

The first acquisition module is used for acquiring monitoring data of each monitoring point on the slope in a first time period, wherein the monitoring data comprises acceleration data, displacement data and speed data;

the first calculation module is used for calculating to obtain a horizontal response curve and an elevation response curve of each monitoring point according to the acceleration data, the displacement data and the speed data of each monitoring point;

the second calculation module is used for calculating the average state coefficient of the monitoring points according to the horizontal response curve and the elevation response curve of each monitoring point and calculating the state coefficient and the stability coefficient of the slope based on the average state coefficient of each monitoring point;

and the third calculation module is used for calculating the safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope.

Optionally, the first computing module includes:

the first correction unit is used for performing baseline correction on the acceleration data and the speed data to obtain corrected acceleration data and corrected speed data;

the first filtering unit is used for filtering the corrected acceleration data, the corrected speed data and the displacement data by utilizing a Hanning window to obtain the filtered acceleration data, displacement data and speed data;

and the first calculation unit is used for calculating a horizontal response curve and an elevation response curve of each monitoring point according to the filtered acceleration data, displacement data and speed data.

Optionally, the second computing module includes:

the second calculation unit is used for calculating a horizontal amplitude coefficient and an elevation amplitude coefficient of each monitoring point according to the horizontal response curve and the elevation response curve of each monitoring point;

the third calculation unit is used for calculating a horizontal fluctuation coefficient and an elevation fluctuation coefficient of each monitoring point according to the horizontal response curve, the elevation response curve, the horizontal amplitude coefficient and the elevation amplitude coefficient of each monitoring point;

and the fourth calculating unit is used for calculating the average state coefficient of each monitoring point according to the horizontal fluctuation coefficient and the elevation fluctuation coefficient of each monitoring point.

Optionally, the first obtaining module includes:

the monitoring device comprises a mounting box, a displacement sensor, a speed sensor and an acceleration sensor, wherein the displacement sensor, the speed sensor and the acceleration sensor are all mounted in the mounting box, and gaps are reserved among the displacement sensor, the speed sensor and the acceleration sensor after the displacement sensor, the speed sensor and the acceleration sensor are mounted in the mounting box;

the monitoring device comprises a sending unit and a monitoring unit, wherein the sending unit is used for sending a first control command, the first control command comprises a command for installing the monitoring devices on the side slope according to an installation rule, and the installation rule comprises that the distance between two adjacent monitoring devices is less than or equal to 5 m;

a second acquisition unit configured to acquire second input information including confirmation that the monitoring device has been installed on the slope;

and the third acquisition unit is used for acquiring the monitoring data by utilizing the monitoring device installed on the side slope.

Optionally, the first computing module includes:

the second correction unit is used for performing baseline correction on the acceleration data and the speed data to obtain corrected acceleration data and corrected speed data;

the second filtering unit is used for filtering the corrected acceleration data, the corrected speed data and the displacement data by utilizing a Hanning window to obtain the filtered acceleration data, displacement data and speed data;

the third acquisition unit is used for acquiring weight coefficients of the X-axis direction, the Y-axis direction and the Z-axis direction, multiplying the acceleration data filtered in the X-axis direction, the Y-axis direction and the Z-axis direction by the corresponding weight coefficients respectively, multiplying the displacement data filtered in the X-axis direction, the Y-axis direction and the Z-axis direction by the corresponding weight coefficients respectively, and multiplying the speed data filtered in the X-axis direction, the Y-axis direction and the Z-axis direction by the corresponding weight coefficients respectively to obtain weighted acceleration data, weighted displacement data and weighted speed data;

and the fifth calculating unit is used for calculating a horizontal response curve and an elevation response curve of each monitoring point according to the weighted acceleration data, displacement data and speed data.

Optionally, the apparatus further includes:

the second acquisition module is used for acquiring a slope safety state analysis table, and the slope safety state analysis table comprises different safety state coefficient ranges and safety levels corresponding to the different safety state coefficient ranges;

the first analysis module is used for analyzing the safety state coefficient according to the slope safety state analysis table to obtain the range of the safety state coefficient and the safety level corresponding to the slope;

and the processing module is used for generating corresponding slope processing measures according to the safety level corresponding to the slope and processing the slope according to the slope processing measures.

Optionally, the apparatus further includes:

the second analysis module is used for analyzing the state coefficient, and if the state coefficient is more than or equal to 0.4 and less than 1, calculating to obtain a safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope; if the state coefficient is greater than or equal to 0.2 and smaller than 0.4, sending a second control command, wherein the second control command comprises a command for prohibiting vehicles around the side slope from approaching the side slope; and if the state coefficient is larger than 0 and smaller than 0.2, sending a third control command, wherein the third control command comprises a command for blocking the side slope and forbidding vehicles around the side slope to travel.

Optionally, the apparatus further includes:

the third analysis module is used for analyzing the stability coefficient, and if the state coefficient is larger than 0.3, sending a fourth control command, wherein the fourth control command comprises a command for prohibiting vehicles around the side slope from approaching the side slope; and if the state coefficient is less than or equal to 0.3, calculating to obtain the safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope.

In a third aspect, an embodiment of the present application provides a slope safety state analysis device, which includes a memory and a processor. The memory is used for storing a computer program; the processor is used for realizing the steps of the slope safety state analysis method when executing the computer program.

In a fourth aspect, an embodiment of the present application provides a readable storage medium, where a computer program is stored, and the computer program, when executed by a processor, implements the steps of the slope safety state analysis method.

The invention has the beneficial effects that:

1. the existing slope safety monitoring technology judges whether the state of the slope is safe or not based on the surface displacement of rock-soil bodies, but ignores the damage inside the rock-soil bodies of the slope, because the dynamic vibration mechanism in the soil body changes after the slope is damaged, only the slope displacement can not reflect the stability of the rock-soil bodies in the slope, and the current research on the safety of the slope hardly analyzes from the vibration theory or the statistical method; the defect that the damage and the stability of the side slope are judged only by displacement can be avoided, and the damage characteristic inside the side slope can be reflected.

2. The invention provides a slope safety state monitoring device, which can realize consistent measurement of acceleration, speed and displacement signals, reduce the influence of non-consistency of a measuring object of a sensor group caused by natural disturbance on a rock-soil mass, avoid the error of signal conversion calculated by a manual digital calculus, realize the consistency monitoring of various signals for slope safety monitoring, and calculate the damaged state and stability of a slope by transmitting wireless signals to a terminal, thereby realizing the safety monitoring of the slope, realizing the subsequent treatment of engineering personnel on the slope, and avoiding the personnel and property loss caused by slope damage.

3. The invention comprehensively utilizes the speed sensor, the speed sensor and the displacement sensor on the basis of the measurement of the proposed slope safety state monitoring device, obtains three-dimensional dynamic monitoring data by controlling the monitoring object of the measuring point sensor, reasonably evaluates the three-dimensional dynamic safety performance of the slope by using a matrix measuring point arrangement method and a weight coefficient, can analyze the slope globally and locally, and simultaneously can realize the instantaneous safety analysis and the long-term safety analysis of the slope structure due to the long-term monitoring process.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.

FIG. 1 is a top view of the interior of a monitoring device according to an embodiment of the present invention;

FIG. 2 is an internal side view of a monitoring device according to an embodiment of the present invention;

FIG. 3 is a general layout of monitoring devices along a section of a slope according to an embodiment of the present invention;

FIG. 4 is a front view of a monitoring device on a side slope according to an embodiment of the present invention;

FIG. 5 is a schematic flow chart of a slope safety state analysis method according to an embodiment of the present invention;

FIG. 6 is a schematic structural diagram of a slope safety state analysis apparatus according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of a slope safety state analysis device according to an embodiment of the present invention.

The labels in the figure are: 1. a data acquisition device; 2. a data transmitting device; 3. a data receiving device; 4. a data analysis terminal; 11. fixing the rod; 12. pulling a hook; 13. a pull ring; 14. pulling a rope; 15. fixing the bolt; 16. a data line; 17. a displacement sensor; 18. a speed sensor; 19. an acceleration sensor; 110. a storage battery; 111. a power source; 112. a power line; 701. a first acquisition module; 702. a first calculation module; 703. a second calculation module; 704. a third calculation module; 7021. a first correcting unit; 7022. a first filter unit; 7023. a first calculation unit; 7031. a second calculation unit; 7032. a third calculation unit; 7033. a fourth calculation unit; 7011. a first acquisition unit; 7012. a transmitting unit; 7013. a second acquisition unit; 7014. a third acquisition unit; 7024. a second correcting unit; 7025. a second filter unit; 7026. a third acquisition unit; 7027. a fifth calculation unit; 705. a second acquisition module; 706. a first analysis module; 707. a processing module; 708. a second analysis module; 709. a third analysis module; 800. slope safety state analysis equipment; 801. a processor; 802. a memory; 803. a multimedia component; 804. an input/output (I/O) interface; 805. a communication component.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that: like reference numbers or letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.

Example 1

As shown in fig. 1-2, the present embodiment provides a slope safety state monitoring device, the monitoring device includes a data acquisition device 1, a data transmission device 2, a data receiving device 3 and a data analysis terminal 4, the data transmission device 2 is installed on the top of the data acquisition device 1, the data acquisition device 1 includes a mounting box, an electric device, a data line 16, a displacement sensor 17, a speed sensor 18 and an acceleration sensor 19, the displacement sensor 17, the speed sensor 18 and the acceleration sensor 19 are all installed inside the mounting box, and after installation, gaps are formed among the displacement sensor 17, the speed sensor 18 and the acceleration sensor 19, and the electric device is used for providing electric power for the monitoring device; the data line 16 is used for transmitting data collected by the displacement sensor 17, the speed sensor 18 and the acceleration sensor 19 to the data transmitting device 2, the data receiving device 3 is used for receiving the data transmitted by the data transmitting device 2 and transmitting the data to the data analysis terminal 4, and the data analysis terminal 4 is used for analyzing the received data, judging the safety state by calculating a slope state coefficient and a stability coefficient, and providing a maintenance scheme for engineering personnel;

in one embodiment of the present disclosure, four sides of the speed sensor 18 are respectively connected to the inner wall of the mounting box through fixing rods 11; four sides of the acceleration sensor 19 are respectively connected with the inner wall of the mounting box through the fixing rods 11; one side of the displacement sensor 17 is connected with the inner wall of the mounting box through the fixing rod 11;

in one embodiment of the present disclosure, one end of the fixing rod 11 is welded on the inner wall of the mounting box, and the other end is connected to the displacement sensor 17, the speed sensor 18 and the acceleration sensor 19 through fixing bolts 15;

in one embodiment of the present disclosure, the power device includes a storage battery 110, a power source 111 and a power line 112, the storage battery 110 is used for providing power for the operation of the displacement sensor 17, the speed sensor 18 and the acceleration sensor 19, the power source 111 is used for converting the power of the storage battery 110 into a circuit which can be used by the displacement sensor 17, the speed sensor 18 and the acceleration sensor 19 and controlling the operation of the displacement sensor 17, the speed sensor 18 and the acceleration sensor 19 to be turned on and off, and the power line 112 is used for power transmission;

in one embodiment of the present disclosure, the displacement sensor 17 includes a pulling hook 12, a pulling loop 13 and a pulling rope 14, the pulling loop 13 and the pulling rope 14 are connected to each other, and the pulling rope 14 is used for data measurement of the displacement sensor 17.

In this embodiment, during data monitoring, the acceleration data, the displacement data, and the velocity data of each monitoring point are acquired by the data acquisition device 1, specifically:

each data acquisition device 1 is buried in a side slope soil body, and the data transmitting device 2 is also buried in the side slope soil body, the arrangement mode is shown in fig. 3-4, wherein each row comprises a plurality of data acquisition devices 1, each column also comprises a plurality of data acquisition devices 1, the data acquisition devices 1 in each row are mutually parallel, and the data acquisition devices 1 in each column are mutually parallel; in this embodiment, use

As the number of the columns,

as the serial number of the row; wherein

And

is determined according to the range of the slope body of the side slope, but needs to be controlled

If the distance is more than 5, i is more than 5, and the distance between monitoring points is less than or equal to 5 meters;

in this embodiment, when performing data analysis, the installation positions of the data receiving device 3 and the data analysis terminal 4 are not limited, and the data receiving device 3 and the data analysis terminal 4 may be installed around a slope soil body, or the installation positions may be determined according to the needs of workers.

In this embodiment, the first

Column No. 2

The monitoring points of the line are marked as

Of 1 at

Column No. 2

The acceleration signal in the X-axis direction is recorded as

The first step

Column No. 2

The acceleration signal in the Y-axis direction is recorded as

The first step

Column No. 2

The acceleration signal in the Z-axis direction is recorded as

Of 1 at

Column No. 2

Go on toThe velocity signal in the X-axis direction is recorded as

The first step

Column No. 2

The velocity signal in the Y-axis direction is recorded as

The first step

Column No. 2

The velocity signal in the Z-axis direction is recorded as

Of 1 at

Column No. 2

The displacement signal of the line in the X-axis direction is recorded as

The first step

Column No. 2

The displacement signal of the line in the Y-axis direction is recorded as

The first step

Column No. 2

The displacement signal of the line in the Z-axis direction is recorded as

；

In this embodiment, the displacement sensor, the speed sensor and the acceleration sensor are installed in the installation box, so that the acceleration, the speed and the displacement of the slope surface of the side slope can be comprehensively measured, the consistency of the measurement object is kept, the precision is high, the damage and the stability of the side slope are analyzed by using three-way signals of the acceleration, the speed and the displacement, the defect that the damage and the stability of the side slope are judged only by the displacement is avoided, and the damage characteristic of the inner part of the side slope can be reflected.

Example 2

As shown in fig. 5, the present embodiment provides a slope safety state analysis method, which includes step S1, step S2, step S3, and step S4.

Step S1, acquiring monitoring data of each monitoring point on the slope in a first time period, wherein the monitoring data comprises acceleration data, displacement data and speed data;

step S2, calculating to obtain a horizontal response curve and an elevation response curve of each monitoring point according to the acceleration data, the displacement data and the speed data of each monitoring point;

step S3, calculating to obtain the average state coefficient of the monitoring points according to the horizontal response curve and the elevation response curve of each monitoring point, and calculating to obtain the state coefficient and the stability coefficient of the side slope based on the average state coefficient of each monitoring point;

and step S4, calculating to obtain the safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope.

In the present embodiment, the acceleration data may include acceleration data in the X-axis, Y-axis, and Z-axis directions; the displacement data may include displacement data in X-axis, Y-axis, and Z-axis directions; the velocity data may include velocity data in the X-axis, Y-axis, and Z-axis directions; in this embodiment, the left-right direction of the side slope is an X-axis direction, the up-down direction of the side slope is a Y-axis direction, and the front-back direction of the side slope is a Z-axis direction;

in the embodiment, the acceleration, the speed and the displacement of the slope surface of the side slope are comprehensively considered, the damage and the stability of the side slope are analyzed by using three-way signals of the acceleration, the speed and the displacement, the defect that the damage and the stability of the side slope are judged only by the displacement is avoided, and the damage characteristic inside the side slope can be better reflected.

In the embodiment, the acceleration, the speed and the displacement response characteristics of the slope can be comprehensively considered, the damage and the stability of the measuring points are calculated in the horizontal direction and the elevation direction respectively, finally, the damage and the stability of the slope are judged through integral analysis, and in the analysis method, a vibration theory and a statistical method are comprehensively applied, so that the finally calculated safety state coefficient can reflect the safety state of the slope more accurately.

In a specific embodiment of the present disclosure, the step S2 may further include a step S21, a step S22 and a step S23.

Step S21, performing baseline correction on the acceleration data and the speed data to obtain corrected acceleration data and speed data;

step S22, filtering the corrected acceleration data, the corrected speed data and the displacement data by using a Hanning window to obtain the filtered acceleration data, displacement data and speed data;

and step S23, calculating to obtain a horizontal response curve and an elevation response curve of each monitoring point according to the filtered acceleration data, displacement data and speed data.

In this embodiment, the monitoring device in embodiment 1 is used to obtain acceleration data, displacement data, and velocity data of each monitoring point in a time period by monitoring, mark the obtained acceleration data, displacement data, and velocity data in a time period, and represent a time period by T, where a time period may be 1min or 2mim, and may be customized according to the user's needs, and then the time period is defined by T, and then

Within a time period of

Column No. 2

Data of the line monitoring points are recorded as

，

F in (1) represents acceleration data

(acceleration data in the X-axis direction),

(acceleration data in the Y-axis direction),

(acceleration data in Z-axis direction), velocity signal

(speed data in the X-axis direction),

(speed data in Y-axis direction),

(speed data in Z-axis direction) and displacement signal

(displacement data in the X-axis direction),

(displacement data in the Y-axis direction),

(displacement data in the Z-axis direction) and independently calculated in the subsequent steps using the data, that is, the data are

、

、

、

、

、

、

、

And respectively and sequentially substituting into a formula for calculation.

The calculation formula of the horizontal response curve of each monitoring point is as follows:

in the formula, the first step is that,

is as follows

Column No. 2

The line is monitored at

A horizontal response curve over a time period;

is the number of data segments;

is the length of the fourier spectrum;

is as follows

Column No. 2

Line monitoring point

And a first

-1 column 1

Line measuring point

Cross-power spectral density function of (a);

,

is as follows

-1 column 1

Line monitoring point

The self-power spectral density function of (a); i is the serial number of the line number; m is a serial number;

wherein, when f is

Is as follows

Column No. 2

The line is monitored at

A horizontal response curve of the acceleration data in the X-axis direction over a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

A horizontal response curve of acceleration data in the Y-axis direction over a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

A horizontal response curve of Z-axis direction acceleration data over a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

A horizontal response curve of X-axis directional velocity data over a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

A horizontal response curve of the Y-axis direction velocity data over a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

A horizontal response curve of Z-direction velocity data over a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

A horizontal response curve of X-axis direction displacement data over a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

A horizontal response curve of the displacement data in the Y-axis direction within the time period;

when f is

Is as follows

Column No. 2

The line is monitored at

A horizontal response curve of Z-axis direction displacement data over a time period;

in this embodiment, the calculation formula of the elevation response curve of each monitoring point is as follows:

in the formula, the first step is that,

is as follows

Column No. 2

The line is monitored at

Elevation response curves over a time period;

is the number of data segments;

is the length of the fourier spectrum;

is as follows

Column No. 2

Line monitoring point

And a first

Column No. 2

-1 line measurement point

Cross-power spectral density function of (a);

is as follows

Column No. 2

-1 line monitoring points

I is the number of the line number; m is a serial number;

wherein, when f is

Is as follows

Column No. 2

The line is monitored at

An elevation response curve of acceleration data in the X-axis direction in a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

An elevation response curve of acceleration data in the Y-axis direction in a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

An elevation response curve of acceleration data in the Z-axis direction in a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

An elevation response curve of the speed data in the X-axis direction in the time period;

when f is

Is as follows

Column No. 2

The line is monitored at

An elevation response curve of the speed data in the Y-axis direction in the time period;

when f is

Is as follows

Column No. 2

The line is monitored at

An elevation response curve of speed data in the Z-axis direction in a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

An elevation response curve of X-axis direction displacement data in a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

An elevation response curve of displacement data in the Y-axis direction in a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

An elevation response curve of Z-axis direction displacement data in a time period; in the following formula calculation, the calculation process is performed with reference to the same logic.

In a specific embodiment of the present disclosure, the step S3 may further include a step S31, a step S32 and a step S33.

Step S31, calculating to obtain a horizontal amplitude coefficient and an elevation amplitude coefficient of each monitoring point according to the horizontal response curve and the elevation response curve of each monitoring point;

step S32, calculating to obtain a horizontal fluctuation coefficient and an elevation fluctuation coefficient of each monitoring point according to the horizontal response curve, the elevation response curve, the horizontal amplitude coefficient and the elevation amplitude coefficient of each monitoring point;

and step S33, calculating the average state coefficient of each monitoring point according to the horizontal fluctuation coefficient and the elevation fluctuation coefficient of each monitoring point.

In this embodiment, the calculation formula of the horizontal amplitude coefficient of each monitoring point is:

the horizontal amplitude coefficient of a monitoring point of the ith row in the mth column in the T time period;

is composed of

Maximum value of (d);

is composed of

Minimum value of (d);

is composed of

Maximum value of (d);

is composed of

Minimum value of (d);

in the formula for calculating the horizontal amplitude coefficient of each monitoring point

The formula is calculated by the following formula:

in the formula, the first step is that,

is as follows

-1 column 1

The line is monitored at

A horizontal response curve over a time period;

is the number of data segments;

is the length of the fourier spectrum;

is as follows

-1 column 1

Line monitoring point

And a first

-2 columns 2

Line measuring point

Cross-power spectral density function of (a);

,

is as follows

-2 columns 2

Line monitoring point

in this embodiment, the calculation formula of the elevation amplitude coefficient of each monitoring point is as follows:

in the formula, the first step is that,

the elevation amplitude coefficient of a monitoring point of the ith row in the mth column in the T time period;

is composed of

Maximum value of (d);

is composed of

Minimum value of (d);

is composed of

Maximum value of (d);

is composed of

Minimum value of (d);

in the calculation formula of elevation amplitude coefficient of each monitoring point

The formula is calculated by the following formula:

in the formula, the first step is that,

is as follows

Column No. 2

Monitoring points of-1 line

Elevation response curves over a time period;

is the number of data segments;

is the length of the fourier spectrum;

is as follows

Column No. 2

-1 line monitoring points

And a first

Column No. 2

-2 line measurement points

Cross-power spectral density function of (a);

is as follows

Column No. 2

-2 rows of monitoring points

I is the number of the line number; m is a serial number;

in this embodiment, the calculation formula of the horizontal fluctuation coefficient of each monitoring point is:

=

*[1-

in the formula, the first step is that,

is as follows

Column No. 2

The line is monitored at

A horizontal fluctuation coefficient over a time period;

and

the covariance of (a);

is composed of

The variance of (a);

is composed of

The variance of (a);

in this embodiment, the calculation formula of the elevation fluctuation coefficient of each monitoring point is as follows:

=

*[1-

]

in the formula, the first step is that,

is as follows

Column No. 2

The line is monitored at

Elevation fluctuation coefficients in a time period;

and

the covariance of (a);

is composed of

The variance of (a);

is composed of

The variance of (a);

in this embodiment, the calculation formula of the state coefficient of each monitoring point is as follows:

in the calculation formula of the state coefficient of each monitoring point,

is as follows

Column No. 2

The line is monitored at

State coefficients over a time period;

the average state coefficient of each monitoring point is obtained;

after the calculation of all the formulas, wherein f in the calculation formula of the state coefficient of each monitoring point is

Is as follows

Column No. 2

The line is monitored at

A state coefficient of acceleration data in the X-axis direction over a period of time;

when f is

Is as follows

Column No. 2

The line is monitored at

A state coefficient of acceleration data in the Y-axis direction over a period of time;

when f is

Is as follows

Column No. 2

The line is monitored at

A state coefficient of Z-axis direction acceleration data over a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

A state coefficient of X-axis direction velocity data over a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

A state coefficient of the Y-axis direction velocity data over a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

A state coefficient of Z-axis direction velocity data over a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

State coefficients of X-axis direction displacement data over a time period;

when f is

Is as follows

Column No. 2

The line is monitored at

State coefficients of displacement data in the Y-axis direction in the time period;

when f is

Is as follows

Column No. 2

The line is monitored at

State coefficients of Z-axis direction displacement data over a period of time;

that is, the first one is obtained after the calculation of the above formula

Column No. 2

The line is monitored at

State coefficient of acceleration data in the X-axis direction in time period

Column No. 2

The line is monitored at

State coefficient of acceleration data in the Y-axis direction in the time zone, first

Column No. 2

The line is monitored at

State coefficient of Z-axis direction acceleration data in time period, first

Column No. 2

The line is monitored at

State coefficient of X-axis direction speed data in time period, second

Column No. 2

The line is monitored at

State coefficient of speed data in Y-axis direction in time period

Column No. 2

The line is monitored at

State coefficient of Z-axis direction velocity data in time period, second

Column No. 2

The line is monitored at

State coefficient of displacement data in the X-axis direction in time period

Column No. 2

The line is monitored at

State coefficient of displacement data in the Y-axis direction in time period

Column No. 2

The line is monitored at

The state coefficient of the Z-axis displacement data in the time period is obtained by adding and averaging the data

Column No. 2

The line is monitored at

An average state coefficient over a time period;

in this embodiment, the calculation formula of the state coefficient of the side slope is:

in the formula, the first step is that,

is the coefficient of state of the side slope

The average state coefficient of each monitoring point is obtained;

in this embodiment, the formula for calculating the stability factor of the slope is:

in the formula, the first step is that,

is the stability factor of the side slope;

is the coefficient of state of the side slope

The average state coefficient of each monitoring point is obtained;

in this embodiment, the formula for calculating the safe state coefficient of the slope is:

in the formula, the first step is that,

is the safety state coefficient of the side slope;

is the state coefficient of the side slope;

is the stability factor of the side slope.

In a specific embodiment of the present disclosure, the step S1 may further include a step S11, a step S12, a step S13, and a step S14.

Step S11, acquiring first input information, wherein the first input information comprises confirmation information of an assembled monitoring device, the monitoring device is used for acquiring the monitoring data of each monitoring point, the monitoring device comprises a mounting box, a displacement sensor, a speed sensor and an acceleration sensor, the displacement sensor, the speed sensor and the acceleration sensor are all mounted in the mounting box, and gaps are reserved among the displacement sensor, the speed sensor and the acceleration sensor after the displacement sensor, the speed sensor and the acceleration sensor are mounted in the mounting box;

step S12, sending a first control command, wherein the first control command comprises a command for installing the monitoring devices on the side slope according to an installation rule, and the installation rule comprises that the distance between two adjacent monitoring devices is less than or equal to 5 m;

step S13, obtaining second input information, wherein the second input information comprises confirmation information that the monitoring device is installed on the side slope;

and step S14, acquiring the monitoring data by using the monitoring device installed on the slope.

In a specific embodiment of the present disclosure, the step S2 may further include a step S24, a step S25, a step S26, and a step S27.

Step S24, performing baseline correction on the acceleration data and the speed data to obtain corrected acceleration data and speed data;

step S25, filtering the corrected acceleration data, the corrected speed data and the displacement data by using a Hanning window to obtain the filtered acceleration data, displacement data and speed data;

step S26, acquiring weight coefficients of the X-axis direction, the Y-axis direction and the Z-axis direction, multiplying the acceleration data filtered in the X-axis direction, the Y-axis direction and the Z-axis direction by corresponding weight coefficients respectively, multiplying the displacement data filtered in the X-axis direction, the Y-axis direction and the Z-axis direction by corresponding weight coefficients respectively, and multiplying the speed data filtered in the X-axis direction, the Y-axis direction and the Z-axis direction by corresponding weight coefficients respectively to obtain weighted acceleration data, weighted displacement data and weighted speed data;

and step S27, calculating to obtain a horizontal response curve and an elevation response curve of each monitoring point according to the weighted acceleration data, displacement data and speed data.

In this embodiment, the weight coefficient in the X-axis direction is 1.1, the weight coefficient in the Y-axis direction is 0.9, and the weight coefficient in the Z-axis direction is 1, and in this embodiment, the calculated horizontal response curve and the calculated elevation response curve can be in accordance with the specific consideration of the structural safety influence in different directions in the actual engineering by adding the corresponding weight coefficients in each direction.

In a specific embodiment of the present disclosure, the method may further include step S5, step S6, and step S7.

Step S5, obtaining a slope safety state analysis table, wherein the slope safety state analysis table comprises different safety state coefficient ranges and safety levels corresponding to the different safety state coefficient ranges;

step S6, analyzing the safety state coefficient according to the slope safety state analysis table to obtain the range of the safety state coefficient and the safety level corresponding to the slope;

and S7, generating corresponding slope treatment measures according to the safety levels corresponding to the slopes, and treating the slopes according to the slope treatment measures.

In this embodiment, the following are specifically mentioned:

performing an analysis when

When the slope is considered to be very safe, when

When the slope is safe, the slope is considered to be safe

When the slope is considered to be generally safe, when

When the side slope is considered to be less safe, when

When the slope is not safe, the side slope is considered to be unsafe;

when the side slope is very safe, special engineering measures are not needed;

when the side slope is safe, carrying out spot check monitoring on the side slope;

when the side slope is generally safe, continuously monitoring the side slope and taking slope protection measures;

when the side slope is not safe, continuously monitoring the side slope, prohibiting surrounding vehicles from going out, and modifying the side slope;

when the side slope is unsafe, continuous monitoring is carried out on the side slope, vehicles around are forbidden to go out, personnel in the side slope damage influence range are evacuated, and side slope transformation or slope cutting is carried out.

In this embodiment, the safety level corresponding to the side slope can be obtained through the safety state coefficient obtained through calculation; the safety monitoring of the side slope can be realized through the safety level, so that the subsequent treatment of the side slope by engineering personnel is realized. By the method in the embodiment, the slope can be processed quickly and efficiently according to the collected data, and personnel and property loss caused by slope damage is avoided.

In a specific embodiment of the present disclosure, the method may further include step S8.

Step S8, analyzing the state coefficient, and if the state coefficient is more than or equal to 0.4 and less than 1, calculating to obtain a safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope; if the state coefficient is greater than or equal to 0.2 and smaller than 0.4, sending a second control command, wherein the second control command comprises a command for prohibiting vehicles around the side slope from approaching the side slope; and if the state coefficient is larger than 0 and smaller than 0.2, sending a third control command, wherein the third control command comprises a command for blocking the side slope and forbidding vehicles around the side slope to travel.

In this embodiment, the following are specifically mentioned:

when in use

And (3) considering that the side slope is not damaged, continuously monitoring the side slope, calculating a stability coefficient, and positioning the side slope according to a safety statePlacing;

when in use

When the side slope is considered to be slightly damaged, continuously monitoring the side slope, calculating a stability coefficient, and treating the side slope according to a safety state;

when in use

When the side slope is seriously damaged, continuously monitoring the side slope, calculating a stability coefficient, and treating the side slope according to a safety state;

when in use

When the side slope is considered dangerous, surrounding vehicles are immediately forbidden to approach the side slope, continuous monitoring is adopted for the side slope, a stability coefficient is calculated, and the side slope is treated according to a safety state;

when in use

And when the side slope is considered to be completely damaged, the site is blocked, surrounding vehicles are forbidden to go out immediately, the side slope is subjected to continuous monitoring, the stability coefficient is calculated, and the side slope is treated according to the safety state.

In a specific embodiment of the present disclosure, the method may further include step S9.

Step S9, analyzing the stability coefficient, and if the state coefficient is larger than 0.3, sending a fourth control command, wherein the fourth control command comprises a command for prohibiting vehicles around the side slope from approaching the side slope; and if the state coefficient is less than or equal to 0.3, calculating to obtain the safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope.

In this embodiment, the following are specifically mentioned:

when in use

When the slope is considered to be very stable, continuously monitoring the slope, calculating a state coefficient, and treating the slope according to a safety state;

when in use

When the slope is considered to be stable, continuously monitoring the slope, calculating a state coefficient, and treating the slope according to a safety state;

when in use

When the side slope is considered to be unstable, continuously monitoring the side slope, calculating a state coefficient, and treating the side slope according to a safety state;

when in use

And when the side slope is considered to be very unstable, surrounding vehicles are forbidden to approach the side slope immediately, continuous monitoring is adopted for the side slope, the state coefficient is calculated, and the side slope is treated according to the safety state.

Example 3

As shown in fig. 6, the present embodiment provides a slope safety state analysis apparatus, which includes a first obtaining module 701, a first calculating module 702, a second calculating module 703 and a third calculating module 704.

The first obtaining module 701 is configured to obtain monitoring data of each monitoring point on a slope in a first time period, where the monitoring data includes acceleration data, displacement data, and speed data;

the first calculating module 702 is configured to calculate a horizontal response curve and an elevation response curve of each monitoring point according to the acceleration data, the displacement data, and the velocity data of each monitoring point;

the second calculating module 703 is configured to calculate an average state coefficient of each monitoring point according to the horizontal response curve and the elevation response curve of each monitoring point, and calculate a state coefficient and a stability coefficient of the slope based on the average state coefficient of each monitoring point;

and the third calculating module 704 is configured to calculate a safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope.

In a specific embodiment of the present disclosure, the first computing module 702 further includes a first correcting unit 7021, a first filtering unit 7022, and a first computing unit 7023.

The first correcting unit 7021 is configured to perform baseline correction on the acceleration data and the velocity data to obtain corrected acceleration data and velocity data;

the first filtering unit 7022 is configured to filter the corrected acceleration data, the corrected speed data, and the displacement data by using a hanning window to obtain filtered acceleration data, displacement data, and speed data;

the first calculating unit 7023 is configured to calculate a horizontal response curve and an elevation response curve of each monitoring point according to the filtered acceleration data, displacement data, and velocity data.

In a specific embodiment of the present disclosure, the second calculating module 703 further includes a second calculating unit 7031, a third calculating unit 7032, and a fourth calculating unit 7033.

The second calculating unit 7031 is configured to calculate a horizontal amplitude coefficient and an elevation amplitude coefficient of each monitoring point according to the horizontal response curve and the elevation response curve of each monitoring point;

the third calculating unit 7032 is configured to calculate a horizontal fluctuation coefficient and an elevation fluctuation coefficient of each monitoring point according to the horizontal response curve, the elevation response curve, the horizontal amplitude coefficient, and the elevation amplitude coefficient of each monitoring point;

the fourth calculating unit 7033 is configured to calculate an average state coefficient of each monitoring point according to the horizontal fluctuation coefficient and the elevation fluctuation coefficient of each monitoring point.

In a specific embodiment of the present disclosure, the first obtaining module 701 further includes a first obtaining unit 7011, a sending unit 7012, a second obtaining unit 7013, and a third obtaining unit 7014.

The first obtaining unit 7011 is configured to obtain first input information, where the first input information includes confirmation information that a monitoring device is assembled, the monitoring device is configured to obtain the monitoring data of each monitoring point, the monitoring device includes a mounting box, a displacement sensor, a speed sensor, and an acceleration sensor, the displacement sensor, the speed sensor, and the acceleration sensor are all mounted in the mounting box, and gaps are formed between the displacement sensor, the speed sensor, and the acceleration sensor after the displacement sensor, the speed sensor, and the acceleration sensor are mounted in the mounting box;

the sending unit 7012 is configured to send a first control command, where the first control command includes a command for installing the monitoring devices on the slope according to an installation rule, and the installation rule includes that a distance between two adjacent monitoring devices is less than or equal to 5 m;

the second obtaining unit 7013 is configured to obtain second input information, where the second input information includes confirmation that the monitoring device is installed on the slope;

the third obtaining unit 7014 is configured to obtain the monitoring data by using the monitoring device installed on the slope.

In a specific embodiment of the present disclosure, the first computing module 702 further includes a second correcting unit 7024, a second filtering unit 7025, a third obtaining unit 7026, and a fifth computing unit 7027.

The second correcting unit 7024 is configured to perform baseline correction on the acceleration data and the velocity data to obtain corrected acceleration data and velocity data;

the second filtering unit 7025 is configured to filter the corrected acceleration data, the corrected speed data, and the displacement data by using a hanning window to obtain filtered acceleration data, displacement data, and speed data;

the third obtaining unit 7026 is configured to obtain weight coefficients in the X-axis, Y-axis, and Z-axis directions, multiply the acceleration data filtered in the X-axis, Y-axis, and Z-axis directions by corresponding weight coefficients, multiply the displacement data filtered in the X-axis, Y-axis, and Z-axis directions by corresponding weight coefficients, and multiply the velocity data filtered in the X-axis, Y-axis, and Z-axis directions by corresponding weight coefficients, respectively, to obtain weighted acceleration data, displacement data, and velocity data;

the fifth calculating unit 7027 is configured to calculate a horizontal response curve and an elevation response curve of each monitoring point according to the weighted acceleration data, displacement data, and velocity data.

In a specific embodiment of the present disclosure, the apparatus further includes a second obtaining module 705, a first analyzing module 706, and a processing module 707.

The second obtaining module 705 is configured to obtain a slope safety state analysis table, where the slope safety state analysis table includes different safety state coefficient ranges and safety levels corresponding to the different safety state coefficient ranges;

the first analysis module 706 is configured to analyze the safety state coefficient according to the slope safety state analysis table to obtain a range in which the safety state coefficient is located and a safety level corresponding to the slope;

the processing module 707 is configured to generate a corresponding slope processing measure according to the safety level corresponding to the slope, and process the slope according to the slope processing measure.

In a specific embodiment of the present disclosure, the apparatus further comprises a second analysis module 708.

The second analysis module 708 is configured to analyze the state coefficient, and if the state coefficient is greater than or equal to 0.4 and less than 1, calculate a safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope; if the state coefficient is greater than or equal to 0.2 and smaller than 0.4, sending a second control command, wherein the second control command comprises a command for prohibiting vehicles around the side slope from approaching the side slope; and if the state coefficient is larger than 0 and smaller than 0.2, sending a third control command, wherein the third control command comprises a command for blocking the side slope and forbidding vehicles around the side slope to travel.

In a specific embodiment of the present disclosure, the apparatus further includes a third analyzing module 709.

The third analysis module 709 is configured to analyze the stability coefficient, and if the state coefficient is greater than 0.3, send a fourth control command, where the fourth control command includes a command for prohibiting vehicles around the side slope from approaching the side slope; and if the state coefficient is less than or equal to 0.3, calculating to obtain the safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope.

It should be noted that, regarding the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated herein.

Example 4

Corresponding to the above method embodiment, the embodiment of the present disclosure further provides a slope safety state analysis device, and the slope safety state analysis device described below and the slope safety state analysis method described above may be referred to in correspondence with each other.

Fig. 7 is a block diagram illustrating a slope safety state analyzing apparatus 800 according to an exemplary embodiment. As shown in fig. 7, the slope safety state analyzing apparatus 800 may include: a processor 801, a memory 802. The slope safety state analysis device 800 may further include one or more of a multimedia component 803, an input/output (I/O) interface 804, and a communication component 805.

The processor 801 is configured to control the overall operation of the slope safety state analyzing apparatus 800, so as to complete all or part of the steps in the slope safety state analyzing method. The memory 802 is used to store various types of data to support operation of the slope safety state analysis device 800, such data may include, for example, instructions for any application or method operating on the slope safety state analysis device 800, as well as application-related data, such as contact data, transceived messages, pictures, audio, video, and so forth. The Memory 802 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 803 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 802 or transmitted through the communication component 805. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the slope safety state analyzing device 800 and other devices. Wireless communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding communication component 805 may include: Wi-Fi module, bluetooth module, NFC module.

In an exemplary embodiment, the slope safety state analyzing Device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components for performing the above-described slope safety state analyzing method.

In another exemplary embodiment, a computer readable storage medium comprising program instructions is also provided, which when executed by a processor, implement the steps of the above-described slop safety state analysis method. For example, the computer readable storage medium may be the above-mentioned memory 802 comprising program instructions executable by the processor 801 of the slope safety state analyzing device 800 to perform the above-mentioned slope safety state analyzing method.

Example 4

Corresponding to the above method embodiment, the embodiment of the present disclosure further provides a readable storage medium, and a readable storage medium described below and the slope safety state analysis method described above may be referred to correspondingly.

A readable storage medium, on which a computer program is stored, the computer program, when being executed by a processor, implementing the steps of the slope safety state analysis method of the above method embodiment.

The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various other readable storage media capable of storing program codes.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A slope safety state analysis method is characterized by comprising the following steps:

calculating to obtain a safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope;

wherein, the calculating the average state coefficient of the monitoring points according to the horizontal response curve and the elevation response curve of each monitoring point comprises:

calculating to obtain an average state coefficient of each monitoring point according to the horizontal fluctuation coefficient and the elevation fluctuation coefficient of each monitoring point;

wherein, the calculating of the state coefficient and the stability coefficient of the slope based on the average state coefficient of each monitoring point comprises:

the calculation formula of the state coefficient of the side slope is as follows:

in the formula, E_TIs the state coefficient of the side slope; e_m,i,TThe average state coefficient of each monitoring point is obtained;

the calculation formula of the stability coefficient of the side slope is as follows:

in the formula, F_TIs the stability factor of the side slope; e_TIs the state coefficient of the side slope; e_m,i,TThe average state coefficient of each monitoring point is obtained;

the method for calculating the safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope comprises the following steps:

the calculation formula of the safety state coefficient of the side slope is as follows:

A＝E_T*(1-F_T)

in the formula, A is a safety state coefficient of the side slope; e_TIs the state coefficient of the side slope; f_TIs the stability factor of the side slope.

2. The slope safety state analysis method according to claim 1, wherein the calculating of the horizontal response curve and the elevation response curve of each monitoring point according to the acceleration data, the displacement data and the velocity data of each monitoring point comprises:

3. The method for analyzing the safety state of the side slope according to claim 1, wherein the method for acquiring the monitoring data of each monitoring point on the side slope comprises the following steps:

4. A slope safety state analysis device, comprising:

the third calculation module is used for calculating a safety state coefficient of the side slope according to the state coefficient and the stability coefficient of the side slope;

in the formula, F_TIs the stability factor of the side slope; e_TIs a state system of a side slopeCounting; e_m,i,TThe average state coefficient of each monitoring point is obtained;

A＝E_T*(1-F_T)

5. The slope safety state analysis device according to claim 4, wherein the first calculation module comprises:

6. The slope safety state analyzing apparatus according to claim 4, wherein the first obtaining module comprises:

7. A slope safety state analyzing apparatus, comprising:

a memory for storing a computer program;

a processor for implementing the steps of the slope safety status analysis method according to any one of claims 1 to 3 when executing the computer program.

8. A readable storage medium, characterized by: the readable storage medium has stored thereon a computer program which, when executed by a processor, carries out the steps of the slope safety state analysis method according to any one of claims 1 to 3.