Slope construction safety monitoring method and system
By conducting area division and data analysis on the slopes, early warning information is generated, and the problem of inconvenient monitoring in the existing technology is solved, and the safety and management efficiency of slope construction are improved.
Patent Information
- Application Number
- CN202510513131.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-23
- Publication Date
- 2025-07-18
AI Technical Summary
During monitoring and management, it is difficult for the existing slope construction safety monitoring system to effectively identify potential dangers under the joint influence of multiple factors, resulting in inconvenient monitoring and may lead to serious situations such as landslides.
By dividing the regulatory slopes in areas, calculating the slope scores of each area, analyzing the changes in slope values, generating early warning information and supervision information, and combining signal analysis within the time period, comprehensive monitoring and early warning of slopes can be achieved.
Multi-region data analysis of slopes is realized, potential dangers can be judged more deeply, reasonable early warning information is generated, and safety monitoring and management efficiency of slope construction is improved.
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Figure CN120333365A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of slope monitoring, and in particular to a slope construction safety monitoring method and system. Background Technique
[0002] The "Beidou Monitoring Data Analysis and Early Warning Platform" system uses Internet of Things and satellite positioning technologies to fully investigate the monitoring requirements of topographic features such as high and steep slopes of dams and high mountains and deep valleys, and overall realizes the collection, transmission, calculation, storage, and analysis of real-time positioning monitoring data of hardware instruments, and presents monitoring data and early warning information to customers in a friendly graphical interface. An integrated intelligent structural monitoring software system platform.
[0003] Chinese Patent Application No. CN202410096275.3 discloses a slope construction safety monitoring system and method for realizing intelligent management, including: a slope monitoring management module, a monitoring data acquisition module, a database, a monitoring data analysis module, and a supervision cycle planning module. The slope displacement in different regions is monitored through the slope monitoring management module, the relationship curve data between slope displacement and time and monitoring setting information are collected from the monitoring results through the monitoring data acquisition module, all received data are stored through the database, and the relationship curve data is retrieved through the monitoring data analysis module. And analyze the time when the slope displacement has been abnormal in the past, and predict the time when the slope displacement in the area will be abnormal through the supervision cycle planning module, and plan the slope displacement monitoring cycle.
[0004] The problems of this patent are: At present, when some existing slope construction safety monitoring systems monitor and manage slopes, due to the combined influence of different factors in slope monitoring, it is inconvenient to monitor them. Secondly, when supervising slopes, single data supervision cannot effectively identify potential dangers existing in slopes, which will affect subsequent construction, and in severe cases, it may cause slope landslides and other situations. Summary of the Invention
[0005] The technical problem to be solved by the present invention is: In view of the above problems, a slope construction safety monitoring method and system are provided.
[0006] The technical solution adopted by the present invention is: A slope construction safety monitoring method includes:
[0007] S1. Obtain the data information of the supervised slope, and the data information at least includes slope inclination, slope length, and slope displacement value;
[0008] S2. Divide the supervised slope according to the area to obtain divided slope regions, and calculate the slope scores corresponding to the divided slope regions;
[0009] S3. Calculate the slope value of the overall supervised slope based on the slope scores calculated for the segmented slope areas;
[0010] S4. Analyze the slope value of the supervised slope and generate different signals based on the change of the slope value within the time period;
[0011] S5. Generate corresponding early warning information and supervision information by analyzing different signals.
[0012] Through the above technical means, first divide the supervised slope into regions, then analyze the states of the formed regions to obtain multiple sets of slope scores, and then comprehensively analyze the multiple sets of slope scores to obtain the data situation of the overall slope value of the supervised slope. By further comparing the slope values of the supervised slope, it is possible to judge whether there are potential dangers. After analysis, corresponding early warning information is generated for warning and supervision information is generated to facilitate the supervision personnel to supervise the slope.
[0013] In some embodiments, in step S2, the dividing the supervised slope according to the area to obtain the segmented slope areas includes the following steps:
[0014] Divide the supervised slope according to the area s to obtain i sets of segmented slope areas, and i = 1, 2,..., j;
[0015] The calculating the slope score corresponding to the segmented slope area includes the following steps:
[0016] Select each segmented slope area as the analysis object one by one and perform corresponding crack detection;
[0017] According to the crack situation detected by the crack detection, classify the analysis object as a cracked object or a complete object;
[0018] Further analyze the cracked object or the complete object and calculate the slope score of the segmented slope area.
[0019] In some embodiments, if the analysis object is classified as the cracked object, the further analyzing the cracked object or the complete object and calculating the slope score of the segmented slope area includes the following steps:
[0020] A1. Obtain the crack situation of the cracked object. The crack situation is expressed as larger at the top and smaller at the bottom or smaller at the top and larger at the bottom. Denote the crack situation of larger at the top and smaller at the bottom as a, and the crack situation of smaller at the top and larger at the bottom as b. Obtain the corresponding crack lengths of a and b and denote them as La and Lb respectively. At the same time, obtain the corresponding crack widths and crack depths of a and b and denote them as Ka, Kb and Ga, Gb respectively;
[0021] A2. When analyzing with larger at the top and smaller at the bottom as the analysis criterion, substitute the obtained parameters into the formula to calculate the crack value Fa corresponding to the cracked object:
[0022]
[0023] Similarly, when analyzing with the above standard of large at the top and small at the bottom, substitute the corresponding parameters into the corresponding formula for calculation;
[0024] A3. Obtain the soil-rock relaxation degree D of the crack object, and substitute the soil-rock relaxation degree D and the crack value Fa into the formula to calculate the slope score P of the crack object:
[0025]
[0026] If the analysis object is classified as the complete object, further analyze the crack object or the complete object, and the steps for calculating the slope score of the segmented slope area include the following:
[0027] B1. Obtain the soil-rock relaxation degree D of the complete object, and use the soil-rock relaxation degree D as the slope score P of the complete object.
[0028] In some embodiments, in step S3, the steps for calculating the slope value of the overall supervised slope based on the slope score of the segmented slope area include the following:
[0029] Perform discrete value calculation on the calculated slope scores P of the i groups to obtain P1, and use the discrete value P1 as the slope value of the supervised slope.
[0030] In some embodiments, in step S4, the steps for analyzing the slope value of the supervised slope and generating different signals based on the change of the slope value within the time period include the following:
[0031] Obtain the slope value P1 corresponding to the supervised slope within n time periods t and perform analysis. Based on the change of the slope value P1 corresponding to the supervised slope, generate corresponding analysis signals:
[0032] When the slope value P1 corresponding to the supervised slope increases, generate an increasing analysis signal and perform secondary analysis on the increasing analysis signal;
[0033] When the slope value P1 corresponding to the supervised slope remains unchanged, generate a stable analysis signal.
[0034] In some embodiments, the steps for performing secondary analysis on the increasing analysis signal include the following:
[0035] C1. Calculate the difference in slope change of the supervised slope between consecutive observation time periods t to obtain the slope difference, and analyze all the calculated slope differences:
[0036] When the slope difference increases regularly, generate a stable analysis signal;
[0037] When the slope difference increases irregularly, a secondary analysis signal is generated;
[0038] C2. Obtain the generated secondary analysis signal. At the same time, obtain the time period corresponding to the maximum slope difference and record it as the target period. Obtain the slope angle α, slope length C, and slope displacement value R of the monitored slope within the target period, and substitute the obtained parameters into the formula to calculate the deformation value Z of the monitored slope:
[0039]
[0040] Where, Pz is the slope value of the target period;
[0041] C3. Compare the calculated deformation value Z of the monitored slope with the preset value Zy:
[0042] When Z≥Zy, it indicates that the deformation value of the monitored slope corresponding to the target period exceeds the preset value, and a warning message is generated;
[0043] When Z<Zy, it indicates that the deformation value of the monitored slope corresponding to the target period does not exceed the preset value, and a stability analysis signal is generated.
[0044] In some embodiments, obtaining the stability analysis signal and performing monitoring analysis includes the following steps:
[0045] D1. Obtain the data acquisition period of the monitored slope, and label the data acquisition period as o (o = 1, 2,..., u);
[0046] D2. Obtain the deformation value Zo of the monitored slope corresponding to the data acquisition period, obtain the data acquisition period corresponding to the maximum deformation value Zo of the monitored slope as the period to be analyzed, and calculate the deformation difference Zc of the period to be analyzed;
[0047] D3. Obtain the time value t1 of the period to be analyzed, and calculate the deformation difference per unit time
[0048] D4. Obtain the deformation value Z of the current data acquisition period, and calculate the difference Z1 between Z and the preset value Zy;
[0049] D5. Calculate the monitoring period T2:
[0050]
[0051] Where, a2 is a preset proportionality coefficient.
[0052] Another technical solution adopted by the present invention is: a slope construction safety monitoring system, including:
[0053] The slope data acquisition module is used to acquire the data information of the supervised slope, and the data information at least includes the slope inclination, slope length and slope displacement value;
[0054] The slope area analysis module is used to divide the supervised slope into multiple groups of slope segmentation areas, calculate the corresponding slope scores for the multiple groups of slope segmentation areas based on the data information, and calculate the slope value of the supervised slope according to the slope scores;
[0055] The historical data storage module is used to acquire and store the slope value of the supervised slope;
[0056] The comprehensive supervision analysis module is used to acquire the slope value of the supervised slope in the time period in the historical data storage module, analyze and generate a stability analysis signal and an increasing analysis signal according to the change situation of the slope value of the supervised slope in the time period, and compare the deformation value of the supervised slope with the preset deformation value for the increasing analysis signal to generate a warning information or a stability analysis signal;
[0057] The monitoring and warning analysis module is used to acquire and analyze the stability analysis signal, calculate the corresponding supervision period according to the deformation value, and generate supervision information;
[0058] The supervision information output module is used to acquire the supervision information and the warning information and display them to the supervisors.
[0059] Another technical solution adopted by the present invention is: a storage medium, on which a computer program executable by a processor is stored, and when the computer program is executed, the steps of the slope construction safety monitoring method are realized.
[0060] Another technical solution adopted by the present invention is: a data processing device, which has a memory and a processor, and a computer program executable by the processor is stored on the memory, and when the computer program is executed, the steps of the slope construction safety monitoring method are realized.
[0061] The beneficial effects of the present invention are:
[0062] 1. By dividing the supervised slope into different areas, analyzing the data of the divided areas, calculating and analyzing the crack conditions of different areas, further integrating to judge the overall situation, judging whether there is potential danger by comparison, and for the situation with potential danger, analyzing its data more deeply, so as to reasonably adjust the data acquisition period of the slope according to the analysis data, realizing reasonable monitoring and management of the slope. BRIEF DESCRIPTION OF THE DRAWINGS
[0063] Figure 1 It is a schematic flowchart of the method of this application.
[0064] Figure 2 It is a schematic diagram of the system structure of this application.
[0065] This specification includes references to "one embodiment" or "embodiments". The occurrence of the phrase "in one embodiment" or "in embodiments" does not necessarily refer to the same embodiment. Specific features, structures, or characteristics may be combined in any suitable manner consistent with this disclosure.
[0066] "Comprising", this term is open-ended. As used in the appended claims, this term does not exclude additional structures or steps.
[0067] "Based on", as used herein, this term is used to describe one or more factors that affect a determination. This term does not exclude additional factors that affect the determination. That is, the determination may be based solely on these factors or at least partially on these factors. Consider the phrase "determine A based on B". In this case, B is a factor that affects the determination of A, and such a phrase does not exclude that the determination of A may also be based on C. In other instances, A may be determined based solely on B. Detailed implementation manners
[0068] To enable those skilled in the art of this technology to better understand the solution of this invention, the technical solution of this invention will be further described below in conjunction with specific embodiments.
[0069] Embodiment 1:
[0070] In combination with Figure 1 As shown, this embodiment is a slope construction safety monitoring method, including the following steps:
[0071] S1. Obtain the data information of the supervised slope, and the data information at least includes the slope inclination, slope length, and slope displacement value;
[0072] S2. Divide the supervised slope according to the area to obtain the divided slope areas, and calculate the slope scores corresponding to the divided slope areas;
[0073] S3. Calculate the overall slope value of the supervised slope based on the slope scores of the divided slope areas;
[0074] S4. Analyze the slope value of the supervised slope, and generate different signals based on the change situation of the slope value within the time period;
[0075] S5. Generate corresponding early warning information and supervision information by analyzing different signals.
[0076] In some embodiments, the slope displacement value in step S1 is measured by an inclinometer.
[0077] In some embodiments, in step S2, the step of dividing the supervised slope according to the area to obtain divided slope regions includes the following steps: dividing the supervised slope according to the area s to obtain i groups of divided slope regions, where i = 1, 2, …, j. In step S2, the step of calculating the slope score corresponding to the divided slope region includes the following steps: selecting each divided slope region as an analysis object one by one and performing corresponding crack detection; classifying the analysis object as a cracked object or a complete object according to the crack condition detected by the crack detection; further analyzing the cracked object or the complete object and calculating the slope score of the divided slope region.
[0078] Specifically, in order to perform more detailed and systematic slope stability analysis, it is first necessary to divide the supervised slope into equal-area parts, marked as s, so that the entire supervised slope is divided into i regions, where i = 1, 2, …, j. After the initial division of the slope is completed, it is then necessary to check each of the divided regions one by one. Therefore, a randomly selected grouped slope region can be used as a detailed analysis object, and this analysis process aims to determine whether there are potential cracks in the selected region.
[0079] Based on the monitoring results of the cracks, we further classify the analysis object. If there is one or more cracks inside a region, it is classified as a "cracked object". This means that the region may be subject to further geological changes in the future and requires special attention and corresponding prevention and control measures. On the contrary, if no cracks are found, the region is classified as a "complete object", indicating that it is relatively stable in its current state.
[0080] For the selected analysis object, we use on-site investigation, remote sensing technology or other applicable monitoring methods to determine whether there are cracks inside it. This step is crucial because the presence of cracks is usually a precursor to slope instability and may trigger geological disasters such as landslides.
[0081] Furthermore, if the analysis object is classified as the cracked object, the step of further analyzing the cracked object or the complete object and calculating the slope score of the divided slope region includes the following steps:
[0082] A1. Obtain the crack condition of the cracked object. The crack condition is expressed as larger at the top and smaller at the bottom or smaller at the top and larger at the bottom. Denote the crack condition of larger at the top and smaller at the bottom as a, and the crack condition of smaller at the top and larger at the bottom as b. Denote the corresponding crack lengths of a and b as La and Lb respectively. At the same time, obtain the corresponding crack widths and crack depths of a and b as Ka, Kb and Ga, Gb respectively. And the crack widths and crack depths obtained here are expressed as the maximum values.
[0083] When analyzing with the standard of large at the top and small at the bottom, substitute the obtained parameters into the formula to calculate the crack value Fa corresponding to the crack object:
[0084]
[0085] This formula is used to quantitatively evaluate the severity or related characteristic values of the crack situation of large at the top and small at the bottom. By comprehensively considering the length, width, and depth of the crack, the constant coefficients 2.71 and 0.52 are introduced to construct a calculation model for standardized analysis and evaluation of the crack object.
[0086] Similarly, when analyzing with the standard of small at the top and large at the bottom, substitute the corresponding parameters into the corresponding formula for calculation;
[0087] A3. Obtain the geotechnical relaxation degree D of the crack object, and substitute the geotechnical relaxation degree D and the crack value Fa into the formula to calculate the slope score P of the crack object:
[0088]
[0089] Among them, a1 is a preset proportionality coefficient;
[0090] And so on for all divided slope regions for analysis.
[0091] This formula mainly considers that the slope stability of the crack object is affected by the geotechnical relaxation degree D and the crack itself. The geotechnical relaxation degree D reflects the looseness of the slope soil mass, and the crack value Fa reflects the comprehensive characteristics of the crack. Combining the two can more comprehensively evaluate the slope state. Among them, for the part of (D×Fa×a1), through the preset proportionality coefficient a1, a linear relationship between the geotechnical relaxation degree, crack value, and slope score is established, so that the influence of the two on the slope score can be superimposed according to a certain weight. For part, use the difference between the crack value Fa and the specific value 2.71 for non-linear adjustment. When Fa deviates from 2.71, the value of this part increases, which can reflect the additional influence of the crack state on slope stability to improve the evaluation accuracy.
[0092] The geotechnical relaxation degree D is usually reflected by the stress relaxation phenomenon, which reflects the process of the volume change of the soil mass tending to a stable state after being subjected to stress. At the same time, in this embodiment, the value after the change to stability is taken for analysis.
[0093] Furthermore, if the analysis object is classified as a complete object, further analyze the crack object or the complete object, and the steps to calculate the slope score of the divided slope region are as follows:
[0094] B1. Obtain the rock and soil relaxation D of the complete object, and use the rock and soil relaxation D as the slope score P of the complete object, and so on to obtain the slope scores of all segmented slope areas.
[0095] In some embodiments, in step S3, calculating the slope value of the entire supervised slope based on the slope scores of the segmented slope areas comprises the following steps:
[0096] The calculated i-group slope score P is discretized to obtain P1, and the discrete value P1 is used as the slope value of the supervision slope.
[0097] In some embodiments, in step S4, analyzing the slope value of the supervision slope and generating different signals based on the change of the slope value within a time period comprises the following steps:
[0098] Obtain the slope value P1 corresponding to the supervision slope within n time periods t and analyze it. The specific value of the time period t here is set by the supervisor. Based on the change of the slope value P1 corresponding to the supervision slope, generate the corresponding analysis signal:
[0099] When the slope value P1 corresponding to the supervision slope increases, an increase analysis signal is generated, and a secondary analysis is performed on the increase analysis signal;
[0100] When the slope value P1 corresponding to the supervision slope remains unchanged, a stability analysis signal is generated.
[0101] Specifically, in this embodiment, the change of the slope value P1 corresponding to the monitoring slope can be observed and judged by drawing a curve graph.
[0102] Further, performing secondary analysis on the amplified analysis signal includes the following steps:
[0103] C1. Calculate the difference of slope change of the supervision slope between the continuous observation time period t, obtain the slope difference, and analyze all the calculated slope differences:
[0104] When the slope difference increases regularly, a stable analysis signal is generated;
[0105] When the slope difference increases irregularly, a secondary analysis signal is generated.
[0106] Specifically, in order to effectively monitor the stability of the supervised slope and predict the potential landslide risk, a method based on time series analysis is introduced, which involves calculating the difference in slope changes between consecutive observation periods t. By comparing adjacent monitoring data, the displacement or deformation of the supervised slope at different time points, i.e., the slope difference, is obtained.
[0107] Subsequently, in-depth analysis is carried out on these calculated slope differences. The focus of the analysis lies in identifying the change patterns of these differences. On the one hand, if it is found that the slope differences show a regular increasing trend, it may indicate that the monitored slope is moving or deforming at a relatively stable speed. In this case, the system will generate a "stable analysis signal". On the other hand, if the growth of the slope differences has no obvious pattern, showing discontinuity or mutation, it indicates that abnormal behavior may have occurred in the monitored slope. This situation requires more rigorous analysis, so a "secondary analysis signal" is generated.
[0108] C2. Obtain the generated secondary analysis signal. At the same time, obtain the time period corresponding to the maximum slope difference and record it as the target period. Obtain the slope angle α, slope length C, and slope displacement value R of the monitored slope corresponding to the target period, and substitute the obtained parameters into the formula to calculate the deformation value Z of the monitored slope:
[0109]
[0110] where, Pz is the slope value of the target period.
[0111] Considering that the deformation of the slope is affected by multiple factors, in this formula, the slope angle α affects its stress state, the slope length C reflects the scale of the slope, the slope displacement value R directly reflects the degree of deformation, and the slope value Pz of the target period is also related to the overall condition of the slope. Incorporating these factors into the formula comprehensively can measure the deformation of the slope more comprehensively.
[0112] In the formula, (cosα × Pz) uses the cosine function to relate the slope angle α to the target period Pz, quantifying the influence of the angle on the slope deformation. For different slope angles, the value of cosα is different, thus affecting the calculation of the final deformation value.
[0113] In the formula This part comprehensively considers the slope length C and the slope displacement value R. The larger the slope length C, the more significant the deformation may be under the same displacement; the slope displacement value R is used as the denominator, reflecting the reverse influence of the displacement on the deformation value, and 1.24 is used as a coefficient to adjust the overall calculation result.
[0114] Specifically, the way to determine the target period is to take the next time period as the target period.
[0115] C3. Compare the calculated deformation value Z of the monitored slope with the preset value Zy:
[0116] When Z ≥ Zy, it means that the deformation value of the monitored slope corresponding to the target period exceeds the preset value, and a warning message is generated;
[0117] When Z < Zy, it indicates that the deformation value of the monitored slope corresponding to the target period does not exceed the preset value, and a stability analysis signal is generated.
[0118] In some embodiments, obtaining the stability analysis signal and performing supervision analysis includes the following steps:
[0119] D1. Obtain the data collection period of the monitored slope, and label the data collection periods as o (o = 1, 2,..., u).
[0120] D2. Obtain the deformation value Zo of the monitored slope corresponding to the data collection period, obtain the data collection period corresponding to the maximum deformation value Zo of the monitored slope as the period to be analyzed, and calculate the deformation difference Zc of the period to be analyzed.
[0121] D3. Obtain the time value t1 of the period to be analyzed, and calculate the deformation difference per unit time
[0122] D4. Obtain the deformation value Z of the current data collection period, and calculate the difference Z1 between Z and the preset value Zy.
[0123] D5. Calculate the supervision period T2:
[0124]
[0125] where a2 is a preset proportionality coefficient.
[0126] By labeling the data collection periods of the monitored slope, it is convenient to distinguish and manage the data in different time periods, providing a basis for subsequent analysis. Obtain the deformation value Zo of the monitored slope corresponding to each data collection period, and select the period with the largest deformation value as the period to be analyzed. The deformation situation in this period has a greater impact on the slope stability. Analyzing the deformation difference Zc of this period helps to grasp the significant change characteristics of the slope deformation.
[0127] Specifically, in order to deeply analyze the slope stability and predict its future behavior, by obtaining the time value t1 of the period to be analyzed, this time value represents the time length experienced in a specific period when the deformation value reaches the maximum. Combining the time value t1 of the period to be analyzed, calculate the deformation difference per unit time to measure the deformation speed of the slope in this period, reflect the dynamic change situation of the slope deformation, obtain the deformation value Z of the current data collection period, and calculate the difference Z1 between it and the preset value Zy to judge the deviation degree of the current slope deformation from the safety standard.
[0128] Substitute the parameters obtained previously into the formula, and dynamically adjust the supervision period by considering the deformation rate of the historical maximum deformation period and the difference between the current deformation and the preset value. If the current deformation is close to or exceeds the preset value and the historical deformation rate is large, shorten the supervision period and strengthen the monitoring; otherwise, appropriately extend the supervision period.
[0129] Embodiment 2:
[0130] Combined with Figure 2 As shown, this embodiment is a slope construction safety monitoring system, including a slope data acquisition module, a slope area analysis module, a historical data storage module, a comprehensive supervision analysis module, a monitoring and early warning analysis module, and a supervision information output module.
[0131] The slope data acquisition module is used to collect data information of the supervised slope, where the data information at least includes the slope inclination, the slope length, and the slope displacement value.
[0132] The slope area analysis module is used to divide the supervised slope into multiple groups of slope segmentation areas, calculate the corresponding slope scores for the multiple groups of slope segmentation areas based on the data information, and calculate the slope value of the supervised slope according to the slope scores.
[0133] The historical data storage module is used to obtain and store the slope value of the supervised slope.
[0134] The comprehensive supervision analysis module is used to obtain the slope value of the supervised slope in the time period in the historical data storage module, analyze and generate a stability analysis signal and an increasing analysis signal according to the change situation of the slope value of the supervised slope in the time period, and compare the deformation value of the supervised slope with the preset deformation value for the increasing analysis signal to generate a warning information or a stability analysis signal.
[0135] The monitoring and early warning analysis module is used to obtain and analyze the stability analysis signal, calculate the corresponding supervision period according to the deformation value, and generate supervision information.
[0136] The supervision information output module is used to obtain the supervision information and the warning information and display them to the supervisors.
[0137] Embodiment 3:
[0138] This embodiment is a storage medium, on which a computer program executable by a processor is stored, and is characterized in that: when the computer program is executed, the steps of the slope construction safety monitoring method described in Embodiment 1 are implemented.
[0139] Embodiment 4:
[0140] This embodiment is a data processing device, which has a memory and a processor. A computer program capable of being executed by the processor is stored on the memory. When the computer program is executed, the steps of the slope construction safety monitoring method described in Embodiment 1 are implemented.
[0141] The above are all preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of the present invention shall be covered within the protection scope of the present invention.
Claims
1. A slope construction safety monitoring method, characterized in that, Including: S1. Obtain the data information of the supervised slope, where the data information at least includes the slope inclination, slope length, and slope displacement value; S2. Divide the supervised slope by area to obtain divided slope regions, and calculate the slope scores corresponding to the divided slope regions; S3. Calculate the overall slope value of the supervised slope based on the slope scores of the divided slope regions; S4. Analyze the slope value of the supervised slope, and generate different signals based on the change of the slope value within the time period; S5. Generate corresponding early warning information and supervision information by analyzing different signals.
2. The slope construction safety monitoring method according to claim 1, characterized in that: In step S2, the step of dividing the supervised slope by area to obtain divided slope regions includes the following steps: Divide the supervised slope by area s to obtain i groups of divided slope regions, and i = 1, 2, …, j; The step of calculating the slope scores corresponding to the divided slope regions includes the following steps: Select each divided slope region as the analysis object one by one, and perform corresponding crack detection; According to the crack conditions detected by the crack detection, classify the analysis object as a cracked object or a complete object; Further analyze the cracked object or the complete object, and calculate the slope scores of the divided slope regions.
3. A slope construction safety monitoring method according to claim 2, characterized in that: If the analysis object is classified as the cracked object, the step of further analyzing the cracked object or the complete object and calculating the slope scores of the divided slope regions includes the following steps: A1. Obtain the crack conditions of the cracked object, where the crack conditions are expressed as larger at the top and smaller at the bottom or smaller at the top and larger at the bottom. Denote the crack condition of larger at the top and smaller at the bottom as a, and the crack condition of smaller at the top and larger at the bottom as b. Obtain the corresponding crack lengths of a and b, denoted as La and Lb respectively. At the same time, obtain the corresponding crack widths and crack depths of a and b, denoted as Ka, Kb and Ga, Gb respectively; A2. When analyzing with larger at the top and smaller at the bottom as the analysis standard, substitute the obtained parameters into the formula to calculate the crack value Fa corresponding to the cracked object: Similarly, when analyzing with smaller at the top and larger at the bottom as the analysis standard, substitute the corresponding parameters into the corresponding formula for calculation; A3. Obtain the soil-rock relaxation degree D of the cracked object, and substitute the soil-rock relaxation degree D and the crack value Fa into the formula to calculate the slope score P of the cracked object: where, a1 is a preset proportionality coefficient; If the analysis object is classified as the complete object, the step of further analyzing the cracked object or the complete object and calculating the slope scores of the divided slope regions includes the following steps: B1. Obtain the soil-rock relaxation degree D of the complete object, and use the soil-rock relaxation degree D as the slope score P of the complete object.
4. A slope construction safety monitoring method according to claim 3, characterized in that: In step S3, the step of calculating the overall slope value of the supervised slope based on the slope scores of the divided slope regions includes the following steps: Perform discrete value calculation on the i groups of slope scores P obtained by calculation to obtain P1, and use the discrete value P1 as the slope value of the supervised slope.
5. A slope construction safety monitoring method according to claim 4, characterized in that: In step S4, the step of analyzing the slope value of the supervised slope and generating different signals based on the change of the slope value within the time period includes the following steps: Obtain the slope value P1 corresponding to the supervised slope within n time periods t and perform analysis. Based on the change of the slope value P1 corresponding to the supervised slope, generate corresponding analysis signals: When the slope value P1 corresponding to the monitored slope increases, an increasing analysis signal is generated and the increasing analysis signal is analyzed secondarily; When the slope value P1 corresponding to the monitored slope remains unchanged, a stability analysis signal is generated.
6. A slope construction safety monitoring method according to claim 5, characterized in that: The secondary analysis of the increasing analysis signal includes the following steps: C1. Calculate the difference in slope change of the monitored slope during the continuous observation time period t to obtain the slope difference, and analyze all the calculated slope differences: When the slope difference increases regularly, a stability analysis signal is generated; When the slope difference increases irregularly, a secondary analysis signal is generated; C2. Obtain the generated secondary analysis signal. At the same time, obtain the time period corresponding to the maximum slope difference and record it as the target period. Obtain the slope angle α, slope length C, and slope displacement value R corresponding to the monitored slope within the target period, and substitute the obtained parameters into the formula to calculate the deformation value Z of the monitored slope: where, Pz is the slope value of the target period; C3. Compare the calculated deformation value Z of the monitored slope with the preset value Zy: When Z≥Zy, it indicates that the deformation value of the monitored slope corresponding to the target period exceeds the preset value, and a warning message is generated; When Z<Zy, it indicates that the deformation value of the monitored slope corresponding to the target period does not exceed the preset value, and a stability analysis signal is generated.
7. A slope construction safety monitoring method according to claim 5 or 6, characterized in that: Obtaining the stability analysis signal and performing supervision analysis includes the following steps: D1. Obtain the data collection period of the monitored slope and label the data collection period o (o = 1, 2,..., u); D2. Obtain the deformation value Zo of the monitored slope corresponding to the data collection period, obtain the data collection period corresponding to the maximum deformation value Zo of the monitored slope as the period to be analyzed, and calculate the deformation difference Zc of the period to be analyzed; D3. Obtain the time value t1 of the period to be analyzed, and calculate the deformation difference per unit time D4. Obtain the deformation value Z of the current data collection period, and calculate the difference Z1 between Z and the preset value Zy; D5. Calculate the supervision period T2: where, a2 is a preset proportionality coefficient.
8. A slope construction safety monitoring system, characterized in that, including: A slope data collection module for collecting data information of the monitored slope, where the data information includes at least slope inclination, slope length, and slope displacement value; A slope area analysis module for dividing the monitored slope into multiple groups of slope segmentation areas, calculating corresponding slope scores for the multiple groups of slope segmentation areas based on the data information, and calculating the slope value of the monitored slope according to the slope scores; A historical data storage module for obtaining and storing the slope value of the monitored slope; A comprehensive supervision analysis module for obtaining the slope value of the monitored slope in the time period in the historical data storage module, analyzing and generating a stability analysis signal and an increasing analysis signal according to the change of the slope value of the monitored slope in the time period, and comparing by calculating the deformation value of the monitored slope with the preset deformation value for the increasing analysis signal to generate a warning message or a stability analysis signal; A monitoring and warning analysis module for obtaining and analyzing the stability analysis signal, calculating the corresponding supervision period according to the deformation value, and generating supervision information; A supervision information output module for obtaining the supervision information and the warning message and displaying them to the supervisors.
9. A storage medium having stored thereon a computer program executable by a processor, characterized in that: When the computer program is executed, it implements the steps of the slope construction safety monitoring method according to any one of claims 1 to 7.
10. A data processing device having a memory and a processor, with a computer program stored on the memory that can be executed by the processor, characterized in that: When the computer program is executed, it implements the steps of the slope construction safety monitoring method according to any one of claims 1 to 7.
Citation Information
Patent Citations
Slope construction supervision system and method for realizing intelligent management
CN117609742A