A method for predicting the treatment effect of a slope

Abstract

The present invention relates to a method for predicting the treatment effect of a slope, belonging to the technical field of slope prediction. The method includes: taking the treated slope as the target slope; obtaining the first topographic data of the target slope at the first moment; obtaining the second topographic data of the target slope at the second moment; obtaining the meteorological data between the first moment and the second moment; calculating the safety factor according to the meteorological data, the first topographic data and the second topographic data; and predicting the treatment effect of the target slope according to the safety factor. Thereby, the accuracy and reliability of the prediction are improved, and the requirements of diverse slope treatment scenarios are met.

Description

Technical Field

[0001] The present invention relates to the field of slope prediction technology, and in particular to a slope management effect prediction method, system, electronic equipment and non-transient computer-readable storage medium. Background Art

[0002] Nowadays, slope stability is one of the important safety issues. With the rapid development of urban construction and changes in climate and ecology, slopes are very likely to face risks such as deformation and instability. The stability monitoring of slopes after treatment is a long process. Traditional treatment effect prediction methods are not only time-consuming and labor-intensive, but also difficult to achieve ideal prediction results. Summary of the invention

[0003] In view of the technical problems existing in the prior art, the present invention provides a slope management effect prediction method, system, electronic equipment and non-transient computer-readable storage medium.

[0004] The technical solution of the present invention to solve the above technical problems is as follows:

[0005] The present invention provides a slope management effect prediction method, the method comprising:

[0006] The treated slope is taken as the target slope;

[0007] Acquire first terrain data of the target slope at a first moment;

[0008] Acquire second terrain data of the target slope at a second moment;

[0009] Acquire meteorological data between the first moment and the second moment;

[0010] Calculating a safety factor according to the meteorological data, the first terrain data and the second terrain data;

[0011] The treatment effect of the target slope is predicted based on the safety factor.

[0012] Optionally, the first terrain data includes a first slope and a first slope direction, and the second terrain data includes a second slope and a second slope direction.

[0013] Optionally, the meteorological data includes average rainfall and average wind speed.

[0014] Optionally, calculating the safety factor according to the meteorological data, the first terrain data and the second terrain data includes:

[0015] Calculate the slope change according to the first slope and the second slope ;

[0016] Calculate the slope change according to the first slope aspect and the second slope aspect ;

[0017] A safety factor is calculated based on the average rainfall, the average wind speed, the slope change and the slope aspect change.

[0018] Optionally, the slope change is calculated according to the first slope and the second slope. , the formula is:

[0019] ;

[0020] in, represents the first slope, Indicates the second slope.

[0021] Optionally, the slope direction change is calculated according to the first slope direction and the second slope direction. , the formula is:

[0022] ;

[0023] in, represents the first slope direction, Indicates the second slope aspect.

[0024] Optionally, the calculating of the safety factor according to the average rainfall, the average wind speed, the slope change and the slope aspect change includes:

[0025] The safety factor IF is calculated according to the following formula:

[0026] ;

[0027] in, represents the weight corresponding to the average rainfall, represents the weight corresponding to the average wind speed, represents the weight corresponding to the slope change, It represents the weight corresponding to the change in slope aspect, rain represents the average rainfall, and wind represents the average wind speed.

[0028] Optionally, after calculating the safety factor according to the meteorological data, the first terrain data and the second terrain data, the method further includes:

[0029] Obtaining development documents of the target slope environment;

[0030] Parsing the development file to obtain the development intent;

[0031] The safety factor is adjusted according to the development intention to obtain a standard safety factor.

[0032] Optionally, adjusting the safety factor according to the development intention to obtain a standard safety factor includes:

[0033] Determine whether the physical parameters of the target slope are consistent with the physical parameters of the development intention, and if they are consistent, use the safety factor as a standard safety factor;

[0034] On the contrary, the safety factor is adjusted according to the development intention to obtain a standard safety factor.

[0035] Optionally, predicting the treatment effect of the target slope according to the safety factor includes:

[0036] The standard safety factor is input into a classification model to predict the treatment effect of the target slope.

[0037] The present invention also provides a slope management effect prediction method system, the system comprising:

[0038] A slope data acquisition module is used to take the treated slope as a target slope; acquire first terrain data of the target slope at a first moment; and acquire second terrain data of the target slope at a second moment;

[0039] A meteorological data acquisition module, used to acquire meteorological data between the first moment and the second moment;

[0040] a calculation module, configured to calculate a safety factor according to the meteorological data, the first terrain data and the second terrain data;

[0041] The prediction module is used to predict the treatment effect of the target slope according to the safety factor.

[0042] Optionally, the first terrain data includes a first slope and a first slope direction, and the second terrain data includes a second slope and a second slope direction.

[0043] Optionally, the meteorological data includes average rainfall and average wind speed.

[0044] Optionally, the calculation module is further used for:

[0045] Calculate the slope change according to the first slope and the second slope ;

[0046] Calculate the slope change according to the first slope aspect and the second slope aspect ;

[0047] A safety factor is calculated based on the average rainfall, the average wind speed, the slope change and the slope aspect change.

[0048] Optionally, the slope change is calculated according to the first slope and the second slope. , the formula is:

[0049] ;

[0050] in, represents the first slope, Indicates the second slope.

[0051] Optionally, the slope direction change is calculated according to the first slope direction and the second slope direction. , the formula is:

[0052] ;

[0053] in, represents the first slope direction, Indicates the second slope aspect.

[0054] Optionally, the calculating of the safety factor according to the average rainfall, the average wind speed, the slope change and the slope aspect change includes:

[0055] The safety factor IF is calculated according to the following formula:

[0056] ;

[0057] in, represents the weight corresponding to the average rainfall, represents the weight corresponding to the average wind speed, represents the weight corresponding to the slope change, It represents the weight corresponding to the change in slope aspect, rain represents the average rainfall, and wind represents the average wind speed.

[0058] Optionally, after calculating the safety factor according to the meteorological data, the first terrain data and the second terrain data, the method further includes:

[0059] Obtaining development documents of the target slope environment;

[0060] Parsing the development file to obtain the development intent;

[0061] The safety factor is adjusted according to the development intention to obtain a standard safety factor.

[0062] Optionally, adjusting the safety factor according to the development intention to obtain a standard safety factor includes:

[0063] Determine whether the physical parameters of the target slope are consistent with the physical parameters of the development intention, and if they are consistent, use the safety factor as a standard safety factor;

[0064] On the contrary, the safety factor is adjusted according to the development intention to obtain a standard safety factor.

[0065] Optionally, predicting the treatment effect of the target slope according to the safety factor includes:

[0066] The standard safety factor is input into a classification model to predict the treatment effect of the target slope.

[0067] In addition, to achieve the above-mentioned purpose, the present invention also proposes an electronic device, comprising: a memory for storing a computer software program; a processor for reading and executing the computer software program, thereby realizing a slope management effect prediction method as described above.

[0068] In addition, to achieve the above-mentioned purpose, the present invention also proposes a non-transitory computer-readable storage medium, in which a computer software program is stored. When the computer software program is executed by a processor, a slope management effect prediction method as described above is implemented.

[0069] The beneficial effects of the present invention are:

[0070] (1) The present invention uses the treated slope as the target slope; obtains the first terrain data of the target slope at the first moment; obtains the second terrain data of the target slope at the second moment; obtains the meteorological data between the first moment and the second moment; calculates the safety factor based on the meteorological data, the first terrain data and the second terrain data; and predicts the treatment effect of the target slope based on the safety factor. This improves the accuracy and reliability of the prediction and meets the needs of various slope treatment scenarios.

[0071] (2) The present invention further calculates the slope change according to the first slope and the second slope; calculates the slope direction change according to the first slope direction and the second slope direction; and calculates the safety factor according to the average rainfall, the average wind speed, the slope change, and the slope direction change. In this way, the accuracy of safety calculation is improved and the ability to cope with changes in the natural environment is enhanced.

[0072] (3) Considering that there are differences in the safety assessment standards of the slope under different development plans, the present invention obtains the development file of the target slope environment; parses the development file to obtain the development intention; determines whether the physical parameters of the target slope are consistent with the physical parameters of the development intention, and if they are consistent, uses the safety factor as the standard safety factor; otherwise, calculates the deviation amount and deviation coefficient of any physical parameter, and calculates the standard safety factor based on the deviation coefficient and the safety factor. This ensures that the slope after treatment meets the safety standards and avoids disaster risks during future development. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 A scene diagram of a slope management effect prediction method provided by the present invention;

[0074] Figure 2 A flow chart of a slope management effect prediction method provided by the present invention;

[0075] Figure 3 A flow chart of another slope management effect prediction method provided by the present invention;

[0076] Figure 4 A schematic diagram of the structure of a slope management effect prediction system provided by the present invention;

[0077] Figure 5 A schematic diagram of the hardware structure of a possible electronic device provided by the present invention;

[0078] Figure 6 A schematic diagram of the hardware structure of a possible computer-readable storage medium provided by the present invention. DETAILED DESCRIPTION

[0079] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0080] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0081] In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in the present invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present invention.

[0082] See also Figure 1 , Figure 1 This is a scene diagram of a slope management effect prediction method provided by the present invention. Figure 1 As shown, the terminal and the server are connected via a network, such as a wired or wireless network connection. The terminal may include but is not limited to portable terminals such as mobile phones and tablets installed with various network platform applications, as well as fixed terminals such as computers, query machines, and advertising machines. The server provides users with various business services, including service push servers, user recommendation servers, etc.

[0083] It should be noted that Figure 1 The scenario diagram of a slope management effect prediction method shown is only an example. The terminal, server and application scenario described in the embodiment of the present invention are for more clearly illustrating the technical solution of the embodiment of the present invention, and do not generate limitations on the technical solution provided by the embodiment of the present invention. A person of ordinary skill in the art can know that with the evolution of the system and the emergence of new business scenarios, the technical solution provided by the embodiment of the present invention is also applicable to similar technical problems.

[0084] Among them, the terminal can be used for:

[0085] The treated slope is taken as the target slope;

[0086] Acquire first terrain data of the target slope at a first moment;

[0087] Acquire second terrain data of the target slope at a second moment;

[0088] Acquire meteorological data between the first moment and the second moment;

[0089] Calculating a safety factor according to the meteorological data, the first terrain data and the second terrain data;

[0090] The treatment effect of the target slope is predicted based on the safety factor.

[0091] See also Figure 2 , provides a flow chart of a slope management effect prediction method of the present invention, comprising the following steps:

[0092] Step 101: Use the treated slope as the target slope.

[0093] Specifically, after the slope treatment project is completed, the part of the slope involved is defined as the target slope. For example, a 500-meter-long slope next to a highway with a height ranging from 10 to 30 meters and facing south, after adopting comprehensive treatment measures such as anti-slide piles, slope protection nets and interception and drainage systems, this entire slope becomes the target slope for our subsequent effect prediction work.

[0094] Step 102: Acquire first terrain data of the target slope at a first moment and second terrain data at a second moment.

[0095] The first terrain data includes a first slope and a first slope direction, and the second terrain data includes a second slope and a second slope direction. Specifically, a plan is formulated to regularly collect terrain data of the target slope, and a measuring instrument such as a total station, a three-dimensional laser scanner, etc. is used to measure the terrain of the target slope, and obtain the slope, slope direction, and coordinates of each point on the slope at different times, so as to analyze the terrain evolution process under the influence of subsequent natural factors.

[0096] Step 103: Acquire meteorological data between the first moment and the second moment.

[0097] Specifically, a meteorological monitoring station is arranged in the area or near the target slope to collect real-time data, and the daily rainfall between the first moment and the second moment is collected. and wind speed , where m represents the first moment, n represents the second moment, and the data is transmitted to the background database for storage and management, and then the average rainfall and average wind speed are calculated respectively.

[0098] It should be noted that the average rainfall can be calculated by the arithmetic mean method or the weighted mean method, and the average wind speed can be calculated by the arithmetic mean method or the vector mean method, which are not specifically limited here.

[0099] Step 104: Calculate a safety factor based on the meteorological data, the first terrain data, and the second terrain data.

[0100] In one implementation, step 104 specifically includes the following steps:

[0101] Calculate the slope change according to the first slope and the second slope ; The formula is:

[0102] ;

[0103] in, represents the first slope, Indicates the second slope.

[0104] Calculate the slope change according to the first slope aspect and the second slope aspect ; The formula is:

[0105] ;

[0106] in, represents the first slope direction, Indicates the second slope aspect.

[0107] The safety factor is calculated according to the average rainfall, the average wind speed, the slope change and the slope aspect change; the formula is:

[0108] ;

[0109] in, represents the weight corresponding to the average rainfall, represents the weight corresponding to the average wind speed, represents the weight corresponding to the slope change, It represents the weight corresponding to the change in slope aspect, rain represents the average rainfall, and wind represents the average wind speed.

[0110] This method can improve the accuracy of safety calculations and enhance the ability to respond to changes in the natural environment.

[0111] Step 105: predict the treatment effect of the target slope according to the safety factor.

[0112] Specifically, the safety factor is input into a classification model to predict the treatment effect of the target slope. The classification model may be a decision tree, a support vector machine (SVM), etc. The safety factor is used as an input feature of the model, and the treatment effect of the target slope is used as an output label, including good, average, and poor.

[0113] This improves the accuracy and reliability of predictions and adapts to the needs of diverse slope management scenarios.

[0114] In yet another embodiment, see Figure 3 After step 104, the method further includes step 106 of obtaining a development file of the target slope environment.

[0115] Among them, the development documents of the target slope usually include: Engineering design documents: including the design drawings of the slope, treatment plan, relevant technical requirements, etc. Geological survey report: including information such as the geological characteristics, soil type, rock structure, etc. of the target slope. Environmental impact assessment report: an assessment of the environmental impact of the target slope. Construction records: including construction details of the slope treatment measures, materials used, support structures, etc.

[0116] Step 107: parse the development file to obtain the development intent.

[0117] The development intention includes building expressways, developing farmland, etc. Specifically, the development intention in the development document is extracted through natural language processing technologies such as word segmentation, entity recognition, and text classification.

[0118] Step 108: Adjust the safety factor according to the development intention to obtain a standard safety factor.

[0119] Specifically, the development document also records the physical parameters corresponding to each development intention, and the physical parameters include soil shear strength, soil moisture, bearing capacity, etc. It is determined whether the physical parameters of the target slope are consistent with the physical parameters of the development intention. If they are consistent, the safety factor is used as the standard safety factor; otherwise, the safety factor is adjusted according to the development intention to obtain the standard safety factor. For example, the soil moisture of the development intention is in the range of 60% to 70%. If the soil moisture of the target slope is 62%, it is considered that the soil moisture of the target slope is consistent with the soil moisture of the development intention, otherwise it is considered inconsistent.

[0120] Further, adjusting the safety factor according to the development intention to obtain a standard safety factor may include: calculating the deviation of any physical parameter, for example, if the soil moisture of the target slope is 72%, then the soil moisture deviation = 72%-70% = 2%, if the soil moisture of the target slope is 55%, then the soil moisture deviation = 55%-60% = -5%; then calculating the deviation coefficient according to the deviation; calculating the standard safety factor SF according to the deviation coefficient and the safety factor, the formula is:

[0121] ;

[0122] in, n physical parameters representing the target slope, express The corresponding deviation is express The corresponding weight value, IF represents the safety factor.

[0123] Step 109: predict the treatment effect of the target slope according to the standard safety factor.

[0124] Therefore, the present invention introduces development intention to adjust the safety factor to adapt to the future development needs of the target slope, further improve the accuracy and reliability of the prediction, and adapt to the needs of diverse slope management scenarios.

[0125] See also Figure 4 , Figure 4 A schematic diagram of the structure of a slope management effect prediction system provided by the present invention.

[0126] like Figure 4 As shown, a slope management effect prediction system proposed in an embodiment of the present invention includes:

[0127] A slope data acquisition module is used to take the treated slope as a target slope; acquire first terrain data of the target slope at a first moment; and acquire second terrain data of the target slope at a second moment;

[0128] A meteorological data acquisition module, used to acquire meteorological data between the first moment and the second moment;

[0129] a calculation module, configured to calculate a safety factor according to the meteorological data, the first terrain data and the second terrain data;

[0130] The prediction module is used to predict the treatment effect of the target slope according to the safety factor.

[0131] See also Figure 5 , Figure 5 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 5 As shown, an embodiment of the present invention provides an electronic device 400, including a memory 410, a processor 420, and a computer program 411 stored in the memory 410 and executable on the processor 420. When the processor 420 executes the computer program 411, the following steps are implemented:

[0132] The treated slope is taken as the target slope;

[0133] Acquire first terrain data of the target slope at a first moment;

[0134] Acquire second terrain data of the target slope at a second moment;

[0135] Acquire meteorological data between the first moment and the second moment;

[0136] Calculating a safety factor according to the meteorological data, the first terrain data and the second terrain data;

[0137] The treatment effect of the target slope is predicted based on the safety factor.

[0138] See also Figure 6 , Figure 6 A schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present invention. Figure 6 As shown, this embodiment provides a computer-readable storage medium 500, on which a computer program 411 is stored. When the computer program 411 is executed by a processor, the following steps are implemented:

[0139] The treated slope is taken as the target slope;

[0140] Acquire first terrain data of the target slope at a first moment;

[0141] Acquire second terrain data of the target slope at a second moment;

[0142] Acquire meteorological data between the first moment and the second moment;

[0143] Calculating a safety factor according to the meteorological data, the first terrain data and the second terrain data;

[0144] The treatment effect of the target slope is predicted based on the safety factor.

[0145] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0146] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0147] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1A process or multiple processes and / or boxes Figure 1 A system that specifies the functions of a box or multiple boxes.

[0148] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction system, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0149] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0150] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0151] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A slope management effect prediction method, characterized in that: The method comprises: The treated slope is taken as the target slope; Acquire first terrain data of the target slope at a first moment; the first terrain data includes a first slope and a first slope direction; Acquire second terrain data of the target slope at a second moment; the second terrain data includes a second slope and a second slope direction; Acquire meteorological data between the first moment and the second moment; the meteorological data includes average rainfall and average wind speed; Calculating a safety factor according to the meteorological data, the first terrain data and the second terrain data, including: calculating a slope change according to the first slope and the second slope ; Calculate the slope change according to the first slope and the second slope ; Calculate the safety factor according to the average rainfall, the average wind speed, the slope change and the slope aspect change; Obtaining development documents of the target slope environment; Parsing the development document to obtain development intentions; the development intentions include building expressways and developing farmland; The safety factor is adjusted according to the development intention to obtain a standard safety factor, including: judging whether the physical parameters of the target slope are consistent with the physical parameters of the development intention, if they are consistent, taking the safety factor as the standard safety factor; if they are inconsistent, adjusting the safety factor according to the development intention to obtain a standard safety factor, including: calculating the deviation of any physical parameter; calculating the deviation coefficient according to the deviation; calculating the standard safety factor SF according to the deviation coefficient and the safety factor; in, represents n physical parameters of the target slope, express The corresponding deviation is express The corresponding weight value, IF represents the safety factor; The treatment effect of the target slope is predicted based on the standard safety factor.

2. The slope management effect prediction method according to claim 1 is characterized in that: The step of calculating the slope change according to the first slope and the second slope , the formula is: ； in, represents the first slope, Indicates the second slope.

3. The slope management effect prediction method according to claim 1 is characterized in that: The slope direction change is calculated according to the first slope direction and the second slope direction. , the formula is: ； in, represents the first slope direction, Indicates the second slope aspect.

4. The slope management effect prediction method according to claim 1 is characterized in that: The calculating of the safety factor according to the average rainfall, the average wind speed, the slope change and the slope aspect change comprises: The safety factor IF is calculated according to the following formula: ； in, represents the weight corresponding to the average rainfall, represents the weight corresponding to the average wind speed, represents the weight corresponding to the slope change, It represents the weight corresponding to the change in slope aspect, rain represents the average rainfall, and wind represents the average wind speed.

5. The slope management effect prediction method according to claim 1 is characterized in that: The step of predicting the treatment effect of the target slope according to the standard safety factor includes: The standard safety factor is input into a classification model to predict the treatment effect of the target slope.

Images