Control method, device and storage medium of slope safety detection system

Abstract

The present application discloses a control method, device and storage medium for a slope safety detection system, and belongs to the field of data processing technology. The method includes: in a monitoring point network of a slope, determining a slope path between a monitoring point at a starting level and a monitoring point at an end level, wherein the slope path passes through a monitoring point at each level in sequence, fitting the slope path according to the coordinate information of the monitoring points on the slope path, generating a slope curve, integrating the slope curve, generating a slope model of the slope, and performing safety detection on the slope based on the slope model to determine the safety detection result of the slope. The present application obtains corresponding three-dimensional coordinate information through a monitoring point network composed of monitoring points at different positions of the slope, constructs a slope model of the slope, and thus performs safety detection on the slope according to the slope model to improve the accuracy of safety detection.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a control method, device and storage medium for a slope safety detection system. Background Art

[0002] To reduce the risk of slope deformation, the slope safety detection system can deploy GNSS receivers at the monitoring points corresponding to the key positions of the slope through the Global Navigation Satellite System (GNSS) module to obtain the three-dimensional positioning coordinates of the monitoring points. The slope safety detection system usually calculates the displacement between the positioning coordinates of the monitoring points and the initial coordinates, and then evaluates the slope deformation and risk based on the displacement.

[0003] In the related art, the slope safety detection system usually compares the displacement between the positioning coordinates of the monitoring point and the initial coordinates with the warning value, and issues a warning notification when the displacement is greater than the warning value. However, due to the large monitoring range of the slope, it is difficult for the monitoring points to cover all positions of the slope. When the slope deforms outside the coverage range of the monitoring points and the displacement is greater than the warning value, it is difficult for the slope safety detection system to issue a warning notification in time. This results in insufficient safety detection accuracy of the slope safety detection system.

[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of this application is to provide a control method, device and storage medium for a slope safety detection system, aiming to solve the technical problem of insufficient safety detection accuracy of the slope safety detection system.

[0006] To achieve the above object, the present application provides a control method for a slope safety detection system, the method comprising the following steps:

[0007] In the monitoring point network of the slope, a slope path between a monitoring point at a starting level and a monitoring point at an end level is determined, wherein the slope path passes through a monitoring point at each level in sequence;

[0008] According to the positioning coordinates of the monitoring points on the slope path, the slope path is fitted to generate a slope curve;

[0009] Integrating the slope curves to generate a slope model of the slope;

[0010] Based on the slope model, a safety detection is performed on the slope to determine a safety detection result of the slope.

[0011] In one embodiment, before the step of fitting the slope path according to the positioning coordinates of the monitoring points on the slope path to generate a slope curve, the step further includes:

[0012] Determine the transmission duration of the satellite positioning signal and the satellite coordinates of the corresponding satellite based on the sending time and receiving time of at least two satellite positioning signals received by the positioning device of the monitoring point;

[0013] Calculating the positioning information of the monitoring point according to the transmission duration and the satellite coordinates;

[0014] The positioning information is calibrated through positioning difference to generate the positioning coordinates of the monitoring point.

[0015] In one embodiment, after the step of calibrating the positioning information by positioning difference to generate the positioning coordinates of the monitoring point, the method further includes:

[0016] Obtaining the initial coordinates of the monitoring point, and calculating the displacement distance between the positioning coordinates and the initial coordinates;

[0017] When the displacement distance is greater than the warning distance, warning information of the monitoring point is output.

[0018] In one embodiment, after the step of calibrating the positioning information by positioning difference to generate the positioning coordinates of the monitoring point, the method further includes:

[0019] Generate a coordinate time series of the monitoring point according to the positioning coordinates and the corresponding positioning time;

[0020] Based on the positioning time, performing time series analysis on the coordinate time series to generate a coordinate series curve of the coordinate time series;

[0021] According to the coordinate sequence curve, the predicted coordinate information of the monitoring point at the target time is determined.

[0022] In one embodiment, after the step of determining the predicted coordinate information of the monitoring point at the target time according to the coordinate sequence curve, the method further includes:

[0023] Fitting the slope path according to the predicted coordinate information at the target time to generate a slope prediction curve at the target time;

[0024] Based on the slope prediction curve, a slope prediction model at the target moment is generated.

[0025] In one embodiment, after the step of determining the predicted coordinate information of the monitoring point at the target time according to the coordinate sequence curve, the method further includes:

[0026] Determining the meteorological information of the slope at the target time through a meteorological system;

[0027] Determining, according to the meteorological information, a meteorological factor corresponding to the meteorological information;

[0028] The predicted coordinates of the monitoring point at the target time are calculated based on meteorological factors and the predicted coordinate information.

[0029] In one embodiment, before the step of fitting the slope path according to the positioning coordinates of the monitoring points on the slope path to generate a slope curve, the step further includes:

[0030] Obtain positioning images and drone coordinates taken by the drone;

[0031] Identify the positioning image, and determine the number of pixels and image position of the positioning mark of the monitoring point in the positioning image;

[0032] Determine the positioning distance and relative position between the positioning mark and the drone according to the image position and the number of pixels;

[0033] The positioning coordinates are determined according to the positioning distance, the relative position and the drone coordinates.

[0034] In one embodiment, the step of integrating the slope curve to generate the slope model of the slope includes:

[0035] Determining coordinate information of model nodes in the slope model;

[0036] According to the coordinate information, the slope model is mapped and output to a slope model interface;

[0037] The monitoring point information and the risk assessment result of the monitoring point are obtained, and based on the monitoring point information and the risk assessment result, the monitoring point is marked in the slope model interface.

[0038] In addition, to achieve the above-mentioned purpose, the present application also provides a control device for a slope safety detection system, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the control method for the slope safety detection system as described above.

[0039] In addition, to achieve the above-mentioned purpose, the present application also provides a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the control method of the slope safety detection system as described above are implemented.

[0040] One or more technical solutions proposed in this application have at least the following technical effects:

[0041] The present application determines a slope path between a starting level monitoring point and an end level monitoring point in a monitoring point network of the slope, which passes through a monitoring point of each level in sequence, and fits the slope path according to the positioning coordinates of the monitoring points on the slope path to generate a slope curve, and integrates the slope curves to generate a slope model of the slope. Based on the slope model, the slope is safety tested, so that all positions on the slope are safety tested in a simulated manner, thereby improving the accuracy of slope safety testing. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0044] Figure 1 This is a flow chart of the first embodiment of the control method of the slope safety detection system of the present application;

[0045] Figure 2 A schematic diagram of a slope path involved in the first embodiment of the control method of the slope safety detection system of the present application;

[0046] Figure 3 This is a flow chart of a second embodiment of a control method for a slope safety detection system of the present application;

[0047] Figure 4 This is a flow chart of a third embodiment of the control method of the slope safety detection system of the present application;

[0048] Figure 5 It is a structural schematic diagram of the control device of the slope safety detection system in the hardware operating environment involved in the embodiment of the present application.

[0049] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0050] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0051] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0052] The main solution of the embodiment of the present application is: in the monitoring point network of the slope, determine the slope path between the starting level monitoring point and the end level monitoring point, wherein the slope path passes through a monitoring point of each level in turn; according to the positioning coordinates of the monitoring points on the slope path, fit the slope path to generate a slope curve; integrate the slope curve to generate a slope model of the slope; based on the slope model, perform safety detection on the slope to determine the safety detection result of the slope.

[0053] Since the existing technology usually calculates the displacement between the positioning coordinates and the initial coordinates of the monitoring point, the slope deformation and risk are evaluated based on the displacement. The slope safety detection system usually compares the displacement between the positioning coordinates and the initial coordinates of the monitoring point with the warning value, and issues a warning notification when the displacement is greater than the warning value. However, due to the large monitoring range of the slope, it is difficult for the monitoring points to cover all positions of the slope. When the slope deforms outside the coverage range of the monitoring point and the displacement is greater than the warning value, it is difficult for the slope safety detection system to issue a warning notification in time. This results in insufficient safety detection accuracy of the slope safety detection system.

[0054] The present application determines a slope path between a starting level monitoring point and an end level monitoring point in a monitoring point network of the slope, which passes through a monitoring point of each level in sequence, and fits the slope path according to the positioning coordinates of the monitoring points on the slope path to generate a slope curve, and integrates the slope curves to generate a slope model of the slope. Based on the slope model, the slope is safety tested, so that all positions on the slope are safety tested in a simulated manner, thereby improving the accuracy of slope safety testing.

[0055] In order to better understand the above technical solution, exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.

[0056] It should be noted that the execution subject of this embodiment can be a slope safety detection system, or a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a control device of a slope safety detection system, etc., and this embodiment does not specifically limit this. The following takes the slope safety detection system as an example to illustrate this embodiment and the following embodiments.

[0057] Based on this, the present application embodiment provides a control method for a slope safety detection system, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the control method of the slope safety detection system of the present application.

[0058] In this embodiment, the control method of the slope safety detection system includes steps S10 to S40:

[0059] Step S10: determining a slope path between a monitoring point at a starting level and a monitoring point at an end level in a monitoring point network of the slope, wherein the slope path passes through a monitoring point at each level in sequence;

[0060] In this embodiment, the monitoring point network is composed of global navigation satellite system module (GNSS, Global Navigation Satellite System) receivers, and is deployed in a distributed structure on the slope to be safety tested. The slope safety detection system can obtain corresponding slope monitoring information through the monitoring points in the monitoring point network.

[0061] Specifically, in the monitoring point network, different monitoring points have different corresponding levels based on their positions on the slope. The slope safety detection system uses one end of the bottom or top of the slope as the starting level and the other end as the end level. Between the starting level and the end level, each monitoring point is divided into different levels based on the corresponding monitoring position. For example, the monitoring point can be divided into the same level based on the height of the slope where the monitoring position is located. Among them, the monitoring position and level division of the monitoring point are determined by the management personnel based on the slope shape of the slope. Including the starting level and the end level, each level includes one or more monitoring points.

[0062] For example, refer to Figure 2 , Figure 2 Schematic diagram of the slope path involved in this embodiment. Figure 2As shown in the figure, the slope contains monitoring points a1, a2, b1, b2, b3, c1, d1 and d2, which are divided into four levels, of which the level where a1 is located is the starting level and the level where d1 is located is the key level. The slope safety detection system starts from the monitoring point of the starting level and passes through a monitoring point in each level in turn to form a slope path. For example, a1 passes through b1 and c1 in turn and arrives at d1 to form a slope path. The slope safety detection system traverses all monitoring points and determines all slope paths, so that the slope curve fitted by the slope path can cover the slope surface of the slope.

[0063] Step S20: fitting the slope path according to the positioning coordinates of the monitoring points on the slope path to generate a slope curve;

[0064] In this embodiment, based on the slope path composed of monitoring points on the slope, the slope safety detection system can fit the slope path based on the historical shape data of the slope to generate a corresponding slope curve.

[0065] Specifically, after fitting the slope path, the slope safety detection system can calculate the residual value between the slope curve and the historical slope shape data, and determine the slope curve that best matches the actual slope shape based on the residual value.

[0066] As an optional implementation method for obtaining the location coordinates of the monitoring point, step S20 may include steps A21 to A23:

[0067] Step A21: determining the transmission duration of the satellite positioning signal and the satellite coordinates of the corresponding satellite based on the sending time and receiving time of at least two satellite positioning signals received by the positioning device at the monitoring point;

[0068] Step A22: Calculating the positioning information of the monitoring point according to the transmission duration and the satellite coordinates;

[0069] In this embodiment, the GNSS receiver at the monitoring point can receive satellite positioning signals sent by multiple satellites. The satellite signal includes the satellite coordinates of the corresponding satellite and the timestamp information of the satellite positioning signal. The slope safety detection system can determine the sending time of the satellite positioning signal according to the timestamp information, and determine the transmission duration of the satellite positioning signal according to the sending time and the receiving time, thereby determining the distance between the GNSS receiver and the satellite.

[0070] Specifically, since the position range with the same satellite distance is circular on the surface, the position range of the corresponding GNSS receiver in the slope can be determined according to the distance between the GNSS receiver and the satellite. At the same time, the position ranges of multiple GNSS receivers can be determined by the distances between multiple satellites and the GNSS receiver. According to the intersection of multiple position ranges, the positioning information of the GNSS receiver, that is, the positioning information of the monitoring point, can be determined.

[0071] Step A23: Calibrate the positioning information through positioning difference to generate the positioning coordinates of the monitoring point.

[0072] In this embodiment, due to the many factors affecting the error of satellite signals during transmission, such as the atmosphere, temperature, etc., the error range of positioning information may be between tens of centimeters and several meters, and the error is large, making it difficult to directly apply it to the safety detection process of the slope. The slope safety detection system can further calibrate the positioning information through positioning differential to improve the accuracy of the positioning coordinates.

[0073] In one example, the slope safety detection system can also use the Beidou and Global Positioning System (GPS) dual-star quad-frequency GNSS module to simultaneously receive signals from both Beidou and GPS satellite navigation systems, and use quad-frequency signals to further improve positioning accuracy and stability. Among them, since signals of different frequency bands are affected differently by the atmosphere during propagation, the combined use of multi-frequency signals can reduce the errors caused by the influence.

[0074] In another example, the slope safety detection system can also use Beidou or GPS for positioning alone, and correct the positioning information through real-time dynamic measurement (RTK). Among them, RTK provides the three-dimensional positioning results of the measuring station in the specified coordinate system in real time through the differential observations between the base station and the mobile station. By transmitting its observations and the station coordinate information to the mobile station, GPS observation data is collected and formed into differential observations in the system for real-time processing.

[0075] As another optional implementation method for obtaining the positioning coordinates of the monitoring point, the slope safety detection system can also use the camera equipment at the monitoring point or the drone to shoot the monitoring site to obtain the positioning image for positioning. The slope safety detection system performs image processing on the positioning image to obtain the contour information in the positioning image. The coordinates of the monitoring point can be calculated based on the distance and size ratio between the monitoring point and the reference system in the image. The positioning coordinates of the monitoring point can also be calculated based on the position and size of the monitoring point in the image and the current three-dimensional drone coordinates of the drone.

[0076] Exemplarily, in the event of a GNSS receiver failure, the slope safety detection system can use a drone to complete the missing positioning coordinates of the GNSS receiver. The slope safety monitoring system can use a drone to obtain the positioning image taken by the drone and the coordinates of the drone. Identify the positioning image and determine the number of pixels and image position of the positioning mark of the monitoring point in the positioning image. The positioning mark can be selected as a GNSS receiver, a road sign or other object. Based on the image position and the number of pixels, the slope safety detection system can determine the positioning distance and relative position between the positioning mark and the drone, and determine the positioning coordinates based on the positioning distance, relative position and drone coordinates.

[0077] Step S30: Integrate the slope curves to generate a slope model of the slope;

[0078] In this embodiment, based on multiple slope curves, the slope safety detection system can integrate the slope curves to generate a slope model of the slope. According to the fitted slope curves, the slope safety detection system can determine the edge coordinates of the slope model on the slope path, thereby determining the coordinates on the slope model used to represent the slope shape.

[0079] In one embodiment, the slope safety detection system can integrate the slope curve into the same coordinate system according to the positioning coordinates of the starting level monitoring point and the ending level monitoring point in the slope curve, thereby constructing a slope model.

[0080] Optionally, the slope safety detection system can deploy strain gauges at various locations on the slope. Strain gauges are sensors used to measure the strain of objects. They can convert physical quantities such as force, pressure, tension, and weight into changes in resistance, thereby accurately measuring these physical quantities. When the slope deforms, the object will produce, and the strain gauge determines the deformation of the slope by measuring the changes in stress and strain.

[0081] Optionally, the slope safety detection system can determine the current tilt angle of the GNSS receiver based on the current time and the angle of light received by the GNSS receiver. According to the tilt angle, it can be used to assist the slope safety detection system in building a slope model or determining the degree of deformation of the slope. The material of the base should be rigid to minimize the amplitude of base vibration caused by wind, landslide, etc.

[0082] Optionally, the slope safety detection system also obtains a positioning image captured by a camera or an unmanned aerial vehicle, performs contour recognition on the positioning image, and determines the positioning image data of the slope based on the contour information and calibrated coordinate information, thereby assisting in constructing a slope model.

[0083] For example, after integrating the slope curve into the same coordinate system, the slope safety detection system can fill in information such as the positioning image data of the drone and the current tilt angle of the GNSS receiver into the coordinate system to generate a slope model.

[0084] Furthermore, the slope safety detection system can map the slope model and output it to the slope model interface according to the coordinate information of each model node in the slope model, thereby realizing intuitive visual display. In addition, the slope safety detection system can mark the corresponding monitoring points in the slope model interface based on the acquired monitoring point information and risk assessment results. For example, when the risk assessment result of the monitoring point is high risk, the icon of the monitoring point in the slope model interface is marked with orange, and when the risk assessment result is extremely high risk, the icon of the monitoring point in the slope model interface is switched to red. At the same time, when the manager hovers the cursor over the icon, the relevant information of the icon can be displayed in a pop-up window.

[0085] Step S40: Based on the slope model, perform safety detection on the slope to determine the safety detection result of the slope.

[0086] In this embodiment, through the generated slope model, the slope safety detection system can perform safety detection on the slope, determine the risk value of the slope and the risk value of each monitoring point, and issue a warning for the monitoring point whose risk value is higher than the warning value.

[0087] As an optional implementation, the slope safety detection system stores the initial coordinates of the monitoring point, can calculate the displacement distance between the positioning coordinates and the initial coordinates, and output the warning information of the monitoring point when the displacement distance is greater than the warning distance. Alternatively, the slope safety detection system can compare the slope model with the initial slope model, determine one by one whether there are points with a displacement distance greater than the alarm value, and output the warning information of the coordinates when there are coordinate points with a displacement distance greater than the alarm value.

[0088] As another optional implementation, the slope safety detection system can also perform an overall risk assessment of the slope model through a deep learning neural network model, and determine the different risk situations corresponding to different locations in the slope model.

[0089] Exemplarily, the slope detected by the slope safety detection system can be a hillside, or a bridge, road, or reservoir dam. The GNSS receiver includes a GNSS base station and multiple GNSS mobile stations. Among them, the GNSS mobile station is applicable to both upper and lower slopes, while the GNSS base station is installed in a safe, stable location that is not affected by possible displacement. When the visual distance between multiple GNSS mobile stations and the GNSS base station exceeds 2km, 4G must be installed to achieve communication. If the distance between multiple mobile stations and the base station exceeds 30km, another base station is required.

[0090] The embodiment of the present application determines a slope path between a starting level monitoring point and an end level monitoring point in the monitoring point network of the slope, which passes through a monitoring point of each level in sequence, and fits the slope path according to the positioning coordinates of the monitoring points on the slope path to generate a slope curve, and integrates the slope curves to generate a slope model of the slope, and performs safety detection on the slope based on the slope model, thereby performing safety detection on all positions of the slope in a simulated manner, thereby improving the accuracy of slope safety detection.

[0091] Based on the same inventive concept, the present application also provides a second embodiment, referring to Figure 3 , Figure 3 This is a flow chart of the second embodiment of the control method of the slope safety detection system of the present application.

[0092] In this embodiment, the control method of the slope safety detection system includes steps S51 to S53:

[0093] Step S51: generating a coordinate time series of the monitoring point according to the positioning coordinates and the corresponding positioning time;

[0094] In this embodiment, the coordinate time series is generated by arranging the coordinate positions of the monitoring points based on the corresponding time, and is used to indicate how the coordinate positions of the monitoring points change over time.

[0095] Step S52: Based on the positioning time, performing time series analysis on the coordinate time series to generate a coordinate series curve of the coordinate time series;

[0096] Step S53: Determine the predicted coordinate information of the monitoring point at the target time according to the coordinate sequence curve.

[0097] In this embodiment, the slope safety detection system can use a time series analysis model to perform a time series analysis on the coordinate time series. The time series analysis model can be selected as an autoregressive integrated moving average model (ARIMA) or an exponential smoothing model. After obtaining the time series analysis model, the slope safety detection system can perform a time series analysis on the coordinate time series.

[0098] In one embodiment, after the slope safety detection system determines the meteorological information of the slope at the target time through the meteorological system, it can obtain the meteorological factor corresponding to the meteorological information in the database. The meteorological factor includes a meteorological coefficient. The slope safety detection system can calculate the predicted coordinates of the monitoring point at the target time based on the meteorological factor and the predicted coordinate information.

[0099] Optionally, the slope safety detection system can extract meteorological factors corresponding to each meteorological information through smoothing or deep learning based on the historical positioning coordinates of the monitoring point and the historical meteorological information corresponding to the historical positioning coordinates, and generate a meteorological assessment model. The meteorological assessment model can calculate the corresponding predicted coordinates based on the predicted coordinate information of the monitoring point and the meteorological factors.

[0100] In an embodiment of the present application, the slope safety detection system can use time series analysis to generate a coordinate sequence curve of the monitoring point, thereby predicting the coordinates of the monitoring point at the target time, thereby reminding the management personnel of the risk situation of the monitoring point.

[0101] Since the system introduced in the second embodiment of the present application is a system used to implement the method of the first embodiment of the present application, based on the method introduced in the first embodiment of the present application, the person skilled in the art can understand the specific structure and deformation of the system, so it is not repeated here. All systems used in the method of the first embodiment of the present application belong to the scope of protection of this application.

[0102] Based on the same inventive concept, the present application also provides a third embodiment, referring to Figure 4 , Figure 4 This is a flow chart of the second embodiment of the control method of the slope safety detection system of the present application.

[0103] In this embodiment, after determining the predicted coordinate information of the monitoring point at the target time according to the coordinate sequence curve as described in step S53, steps S54-S55 are also included:

[0104] Step S54: fitting the slope path according to the predicted coordinate information at the target time to generate a slope prediction curve at the target time;

[0105] Step S55: generating a slope prediction model at the target time based on the slope prediction curve.

[0106] In this embodiment, based on the predicted coordinate information at the same time, that is, the predicted coordinate information at the target moment, the slope safety detection system can construct a slope model based on the slope path, thereby realizing the prediction of the slope surface model of the slope at the target moment.

[0107] Exemplarily, the slope safety detection system can fit the slope path based on the predicted coordinate information or predicted coordinates at the target time, generate a corresponding slope prediction curve, integrate the slope prediction curve into the same coordinate system, and obtain slope information to fill it into the coordinate system to generate a slope model.

[0108] Since the system introduced in the third embodiment of the present application is a system used to implement the method of the first embodiment of the present application, based on the method introduced in the first embodiment of the present application, the person skilled in the art can understand the specific structure and deformation of the system, so it is not repeated here. All systems used in the method of the first embodiment of the present application belong to the scope of protection of the present application.

[0109] The present application provides a control device for a slope safety detection system, the device comprising: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the control method for the slope safety detection system in the above-mentioned embodiment 1.

[0110] Reference below Figure 5 , which shows a schematic diagram of the structure of a control device suitable for implementing a slope safety detection system in an embodiment of the present application. The control device of the slope safety detection system in an embodiment of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The control device of the slope safety detection system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0111] like Figure 5As shown, the control device of the slope safety detection system may include a processing device 1001 (e.g., a core processor, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM) 1004. Various programs and data required for the operation of the control device of the slope safety detection system are also stored in the RAM 1004. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems may be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 may allow the control device of the slope safety detection system to communicate with other devices wirelessly or by wire to exchange data. Although the control device of the slope safety detection system with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0112] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0113] The control device of the slope safety detection system provided by the present application adopts the control method of the slope safety detection system in the above embodiment, which can solve the technical problem of insufficient safety detection accuracy of the slope safety detection system. Compared with the prior art, the beneficial effects of the control device of the slope safety detection system provided by the present application are the same as the beneficial effects of the control method of the slope safety detection system provided by the above embodiment, and other technical features in the control device of the slope safety detection system are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0114] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0115] 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.

[0116] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the control method of the slope safety detection system in the above-mentioned embodiment.

[0117] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0118] The computer-readable storage medium may be included in the control device of the slope safety detection system; or may exist independently without being assembled into the control device of the slope safety detection system.

[0119] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the control device of the slope safety detection system, the control device of the slope safety detection system: determines the slope path between the starting level monitoring point and the end level monitoring point in the monitoring point network of the slope, wherein the slope path passes through a monitoring point of each level in sequence; fits the slope path according to the positioning coordinates of the monitoring points on the slope path to generate a slope curve; integrates the slope curve to generate a slope model of the slope; and performs safety detection on the slope based on the slope model to determine the safety detection result of the slope.

[0120] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0121] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0122] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0123] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the control method of the above-mentioned slope safety detection system, and can solve the technical problem of insufficient safety detection accuracy of the slope safety detection system. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the control method of the slope safety detection system provided in the above-mentioned embodiment, and will not be elaborated here.

[0124] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A control method for a slope safety detection system, characterized in that: The method comprises the following steps: In the monitoring point network of the slope, starting from the monitoring point of the starting level, passing through one monitoring point in each level in turn, arriving at the monitoring point of the terminal level, traversing all the monitoring points, determining all the slope paths between the monitoring point of the starting level and the monitoring point of the terminal level, so that the slope curve fitted by the slope path covers the slope surface of the slope, wherein the slope path passes through one monitoring point in each level in turn; Generate a coordinate time series according to the positioning coordinates of the monitoring point and the corresponding positioning time, and perform time series analysis on the coordinate time series based on the positioning time to generate a coordinate series curve; Determining predicted coordinate information of the monitoring point at a target time according to the coordinate sequence curve; According to the meteorological information of the slope at the target time in the meteorological system, a corresponding meteorological factor is obtained, and according to the meteorological factor and the predicted coordinate information, the predicted coordinates of the monitoring point at the target time are calculated; Fitting the slope path according to the predicted coordinates to generate a slope prediction curve at the target time; According to the positioning coordinates of the starting level monitoring point and the positioning coordinates of the end level monitoring point in the slope prediction curve, the slope curve is integrated into the same coordinate system to construct a slope prediction model; Based on the slope prediction model, the slope is safety tested to determine the safety test result of the slope.

2. The method according to claim 1, characterized in that Before the step of generating a coordinate time series according to the positioning coordinates of the monitoring points and the corresponding positioning time, and performing time series analysis on the coordinate time series based on the positioning time to generate a coordinate series curve, the step further includes: Determine the transmission duration of the satellite positioning signal and the satellite coordinates of the corresponding satellite based on the sending time and receiving time of at least two satellite positioning signals received by the positioning device of the monitoring point; Calculating the positioning information of the monitoring point according to the transmission duration and the satellite coordinates; The positioning information is calibrated through positioning difference to generate the positioning coordinates of the monitoring point.

3. The method according to claim 2, characterized in that After the step of calibrating the positioning information by positioning difference to generate the positioning coordinates of the monitoring point, the method further includes: Obtaining the initial coordinates of the monitoring point, and calculating the displacement distance between the positioning coordinates and the initial coordinates; When the displacement distance is greater than the warning distance, warning information of the monitoring point is output.

4. The method according to claim 1, characterized in that Before the step of generating a coordinate time series according to the positioning coordinates of the monitoring points and the corresponding positioning time, and performing time series analysis on the coordinate time series based on the positioning time to generate a coordinate series curve, the step further includes: Obtain positioning images and drone coordinates taken by the drone; Identify the positioning image, and determine the number of pixels and image position of the positioning mark of the monitoring point in the positioning image; Determine the positioning distance and relative position between the positioning mark and the drone according to the image position and the number of pixels; The positioning coordinates are determined according to the positioning distance, the relative position and the drone coordinates.

5. The method according to claim 1, characterized in that After the step of integrating the slope curve into the same coordinate system according to the positioning coordinates of the starting level monitoring point and the positioning coordinates of the end level monitoring point in the slope prediction curve to construct a slope prediction model, the method further includes: Determining coordinate information of model nodes in the slope prediction model; According to the coordinate information, the slope model is mapped and output to a slope model interface; The monitoring point information and the risk assessment result of the monitoring point are obtained, and based on the monitoring point information and the risk assessment result, the monitoring point is marked in the slope model interface.

6. A control device for a slope safety detection system, characterized in that: The device comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the control method of the slope safety detection system according to any one of claims 1 to 5.

7. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the control method of the slope safety detection system according to any one of claims 1 to 5 are implemented.

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