Intelligent mobilization methods, systems, equipment, and media for slope monitoring resources within a slope group

Abstract

This invention relates to the field of slope monitoring technology, specifically to a method, system, equipment, and medium for intelligent mobilization of slope monitoring resources within a slope group. Based on the number of unstable slopes in the vicinity of each slope within the slope group, the distance between slopes, and the predicted area of ​​slope sliding, the forced instability value of each slope is obtained. This value is then combined with the initial stability type of the slope to obtain a corresponding monitoring importance score. Simultaneously, by acquiring the spatiotemporal information of monitoring resources within the vicinity of the slope group, a slope monitoring resource structure map is constructed, resulting in a monitoring resource combination scheme that improves monitoring stability, rationality, and economy. Finally, when multiple slope monitoring data within the slope group are abnormal, the monitoring resource combination scheme is selected sequentially according to the monitoring importance score. This prioritizes responses to high-risk slopes, avoids resource allocation delays, improves the timeliness of monitoring resource allocation, and enhances the adaptability and intelligence of slope monitoring resource mobilization within the slope group.

Description

Technical Field

[0001] This invention relates to the field of resource allocation technology in slope monitoring, specifically to intelligent mobilization methods, systems, equipment, and media for slope monitoring resources within a slope group. Background Technology

[0002] Slope monitoring is of great significance for engineering construction and operation maintenance, personnel safety protection, property safety protection, and environmental protection. The selection of slope monitoring resources directly affects the accuracy of slope monitoring results and slope safety. Rational allocation of various slope monitoring resources is a prerequisite for completing high-quality slope monitoring.

[0003] Currently, slope resource allocation is often determined based on human experience. However, human experience relies too heavily on past experience, and when slope problems are complex or the slope area is large, human experience methods are often inefficient and result in low-quality allocation schemes. Machine learning algorithms can rapidly improve computational efficiency, but they require a large amount of training data. When faced with new slopes and new problems, they tend to lack interpretability and controllability, resulting in poor rationality and scientific rigor, and unstable generation of allocation schemes.

[0004] Meanwhile, due to the large number of slopes within the slope group, multiple slope monitoring devices are prone to malfunction simultaneously when affected by sudden environmental events, resulting in abnormal slope monitoring data. Therefore, given the limited slope monitoring resources, how to achieve rapid allocation of slope monitoring resources has become an urgent problem to solve. Summary of the Invention

[0005] The purpose of this invention is to provide a method, system, equipment, and medium for intelligent mobilization of slope monitoring resources within a slope group.

[0006] The technical solution of this invention is as follows:

[0007] A method for intelligently mobilizing slope monitoring resources within a slope group includes the following operations:

[0008] Based on the number of unstable slopes in the neighborhood of each slope in the slope group, and / or the distance between slopes, and / or the predicted area of ​​slope sliding, the forced instability value of each slope is obtained; based on the initial stability type and forced instability value of each slope, the monitoring importance score of each slope is obtained.

[0009] Spatiotemporal information of sensors, monitoring equipment, professionals, and auxiliary tools within the neighborhood of the slope group is acquired to construct a slope monitoring resource structure map. Based on the edge relationships in the slope monitoring resource structure map, sensors, monitoring equipment, and auxiliary tools are combined with corresponding professionals to obtain several initial combination schemes. After cross-combining several initial combination schemes, the combination schemes are screened based on fitness to obtain several monitoring resource combination schemes.

[0010] When monitoring data of multiple slopes within a slope group are abnormal, the corresponding slopes are selected from several monitoring resource combination schemes in descending order of monitoring importance scores, and the optimal monitoring resource combination scheme is selected as the corresponding recommended monitoring scheme.

[0011] The method for obtaining the initial stability type of a slope is as follows: Substitute the slope gradient, soil / rock type, and geological structure development degree of the slope into their respective stability grading assessment piecewise functions to obtain several levels of slope stability assessment values, soil / rock stability assessment values, and geological structure stability assessment values; construct a stability grading matrix based on these values; multiply the weight matrix formed by the slope gradient weight, soil / rock weight, and geological structure development degree weight with the stability grading matrix to obtain the slope stability grading assessment matrix; and take the slope stability type corresponding to the maximum value in the slope stability grading assessment matrix as the initial stability type of the slope.

[0012] The initial stability types of slopes include stable, moderately stable, and unstable; the forced instability value of a stable slope is obtained by the following formula: I1 = 1 - e -λM I1 is the forced instability value of a stable slope, M is the total number of unstable slopes in the neighborhood of a stable slope, and λ is the quantity influence coefficient.

[0013] The importance score for monitoring is obtained by the following formula: S = w0·s0 + w1·I·s m S represents the monitoring importance score, w0 represents the initial stable type score weight, s0 represents the score corresponding to the initial stable type (obtained by quantifying the initial stable type into a score value), w1 represents the forced instability value weight, I represents the forced instability value, and s m This is the total score for the initial stable type.

[0014] Fitness is obtained based on the edge strength, edge quantity, and node quantity of the monitoring resources in the combined scheme; the monitoring resources include sensors, monitoring equipment, auxiliary tools, and professional personnel.

[0015] Edge strength is obtained by weighted summation of the distance between the monitored resources corresponding to the nodes and the node interaction degree.

[0016] After the previous slope where monitoring data simultaneously shows anomalies has selected the corresponding optimal monitoring resource combination scheme, the slope monitoring resource structure diagram and monitoring resource combination scheme are updated for use in selecting the optimal monitoring resource combination scheme for the current slope.

[0017] A smart mobilization system for slope monitoring resources within a slope group, used to implement the aforementioned smart mobilization method for slope monitoring resources within a slope group, includes:

[0018] The monitoring importance score generation module is used to obtain the forced instability value of each slope based on the number of unstable slopes in the neighborhood of each slope in the slope group, and / or the distance between slopes, and / or the predicted area of ​​slope sliding; and to obtain the monitoring importance score of each slope based on the initial stability type and forced instability value of each slope.

[0019] The monitoring resource combination scheme generation module is used to acquire spatiotemporal information of sensors, monitoring equipment, professionals, and auxiliary tools within the neighborhood of the slope group, and construct a slope monitoring resource structure map. Based on the edge relationships in the slope monitoring resource structure map, sensors, monitoring equipment, and auxiliary tools are combined with corresponding professionals to obtain several initial combination schemes. After several initial combination schemes are cross-combined, the combination schemes are screened based on fitness to obtain several monitoring resource combination schemes.

[0020] The recommended monitoring scheme generation module is used to select the optimal monitoring resource combination scheme from several monitoring resource combination schemes as the corresponding recommended monitoring scheme when the monitoring data of multiple slopes in a slope group are abnormal at the same time, according to the monitoring importance score from high to low.

[0021] A smart mobilization device for slope monitoring resources within a slope group includes a processor and a memory, wherein the processor executes a computer program stored in the memory to implement the aforementioned smart mobilization method for slope monitoring resources within a slope group.

[0022] A computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the above-described intelligent mobilization method for slope monitoring resources within a slope group.

[0023] The beneficial effects of this invention are as follows:

[0024] This invention provides an intelligent method for allocating slope monitoring resources within a slope group. Considering the mutual influence between slopes in the group, the method obtains the forced instability value of each slope based on the number of unstable slopes within its neighborhood, and / or the distance between slopes, and / or the predicted area of ​​slope sliding. This value is then combined with the initial stability type of the slope to obtain a corresponding monitoring importance score. Simultaneously, by acquiring the spatiotemporal information of monitoring resources (sensors, monitoring equipment, professionals, and auxiliary tools) within the neighborhood of the slope group, a slope monitoring resource structure diagram is constructed, showcasing the complex spatiotemporal and interactive relationships between monitoring resources in the slope group. This yields a monitoring resource combination scheme that improves monitoring stability, rationality, and economy. Finally, when multiple slope monitoring data within the slope group are abnormal, the monitoring resource combination scheme is selected sequentially according to the monitoring importance score. This prioritizes responses to high-risk slopes, avoids resource allocation delays, improves timeliness, and enhances the adaptability and intelligence of slope monitoring resource allocation within the slope group. Detailed Implementation

[0025] This embodiment is applicable to scenarios where monitoring data from multiple slopes within a slope group becomes abnormal due to sudden environmental impacts, and where slope monitoring resources are limited. It addresses how to efficiently, intelligently, and accurately allocate slope monitoring resources within a slope group, providing an intelligent allocation method for slope monitoring resources within the group, including the following operations:

[0026] Based on the number of unstable slopes in the neighborhood of each slope in the slope group, and / or the distance between slopes, and / or the predicted area of ​​slope sliding, the forced instability value of each slope is obtained; based on the initial stability type and forced instability value of each slope, the monitoring importance score of each slope is obtained.

[0027] Spatiotemporal information of sensors, monitoring equipment, professionals, and auxiliary tools within the neighborhood of the slope group is acquired to construct a slope monitoring resource structure map. Based on the edge relationships in the slope monitoring resource structure map, sensors, monitoring equipment, and auxiliary tools are combined with corresponding professionals to obtain several initial combination schemes. After cross-combining several initial combination schemes, the combination schemes are screened based on fitness to obtain several monitoring resource combination schemes.

[0028] When monitoring data of multiple slopes within a slope group are abnormal, the corresponding slopes are selected from several monitoring resource combination schemes in descending order of monitoring importance scores as the recommended monitoring schemes.

[0029] The specific operational details will be explained step by step below.

[0030] S1. Based on the number of unstable slopes in the neighborhood of each slope in the slope group, and / or the distance between slopes, and / or the predicted area of ​​slope sliding, obtain the forced instability value of each slope; based on the initial stability type and forced instability value of each slope, obtain the monitoring importance score of each slope.

[0031] Considering the large number of slopes in a slope group and the ease with which they can influence each other, the forced instability value of each slope is obtained based on the number of unstable slopes in the vicinity of the slope, and / or the distance between slopes, and / or the predicted area of ​​slope sliding. This value is then combined with the initial stability type of the slope to obtain a comprehensive score that better reflects slope instability, which serves as the corresponding monitoring importance score for the slope.

[0032] First, obtain the initial stability type of each slope within the slope group. The initial stability type of a slope can be obtained based on its slope height, slope angle, and a slope stability classification table.

[0033] To improve the accuracy and efficiency of initial stability type classification for slopes, this embodiment also designs the initial stability type of the slope to be obtained based on the slope gradient (reflecting the overall steepness of the slope), soil and rock type (reflecting the overall strength properties of the slope), and geological structure development (reflecting the overall structural properties of the slope). The specific acquisition steps are as follows.

[0034] Step 1: Substitute the slope, soil and rock type, and geological structure development degree of the slope into their respective stability grading assessment piecewise functions to obtain several levels of slope stability assessment values, several levels of soil and rock stability assessment values, and several levels of geological structure stability assessment values ​​that reflect the possibility of different stability levels.

[0035] Geological structures include faults, joints, fissures, and other features developed on the slope, which affect slope stability. The degree of geological structure development is based on the number of geological structures within the region of interest (ROI) of the slope. The more geological structures within the ROI (which can be selected based on actual conditions), the denser the structures are, and the greater their adverse impact on slope stability.

[0036] The piecewise function for stability grading assessment of slope or geological structure development is as follows:

[0037] When θ≤θ1, q θ,1 =1,q θ,2 =0,q θ,3 =0;

[0038] When θ1 < θ < θ2 q θ,3 =1;

[0039] When θ≥θ2, q θ,1 =0,qθ,2 =0,q θ,3 =1;

[0040] In a piecewise stability grading assessment function, each segment contains multiple levels of stability assessment values. Each level reflects the probability that the slope belongs to a specific stability type. θ represents the slope or geological structure development degree, θ1 is the first threshold for slope or geological structure development degree, θ2 is the second threshold for slope or geological structure development degree, and the second threshold is greater than the first threshold. θ,1 The value represents the primary stability assessment of slope or geological structure development (primary slope stability assessment value or primary geological structure stability assessment value; the higher the primary stability assessment value, the greater the likelihood that it is a stable slope), q θ,2 The value represents the secondary stability assessment of slope or geological structure development (secondary slope stability assessment value or secondary geological structure stability assessment value; the higher the secondary stability assessment value, the greater the likelihood that it is a moderately stable slope), q θ,3 The third-level stability assessment value is the slope or geological structure development degree (the third-level slope stability assessment value or the third-level geological structure stability assessment value. The larger the third-level stability assessment value, the greater the possibility that it belongs to an unstable slope).

[0041] The piecewise function for stability grading assessment corresponding to soil and rock mass type is similar to the piecewise function for stability grading assessment of slope or geological structure development degree of soil and rock mass type. In addition, in the piecewise function for stability grading assessment corresponding to soil and rock mass type, the input value used for condition judgment is the shear strength obtained based on the internal friction angle and cohesion of soil and rock mass. The greater the shear strength of soil and rock mass, the better the slope stability.

[0042] Step 2: Based on several levels of slope stability assessment values, several levels of soil and rock stability assessment values, and several levels of geological structure stability assessment values, construct a stability grading matrix to comprehensively reflect the different stability types of the slopes. In the stability grading matrix, the values ​​in the same column reflect the probability that the slope belongs to the same stability type. That is, the values ​​in the first, second, and third columns of the stability grading matrix reflect the probability of belonging to a stable slope, a moderately stable slope, and an unstable slope, respectively.

[0043] The stability gradation matrix Z is as follows:

[0044]

[0045] q 1,i q represents the i-th grade slope stability assessment value corresponding to the slope gradient. 2,i q represents the stability assessment value of the i-th grade soil and rock mass corresponding to the soil and rock mass. 3,i This represents the i-th level geological structure stability assessment value corresponding to the degree of geological structure development, where i = 1, 2, 3.

[0046] Step 3: Multiply the weight matrix formed by the slope weight, soil and rock mass weight, and geological structure development weight with the stability grading matrix to obtain a one-dimensional slope stability grading assessment matrix. In the slope stability grading assessment matrix, the first, second, and third data points represent the degree of tendency of the slope to be stable, moderately stable, and unstable, respectively.

[0047] Step 4: Take the slope stability type corresponding to the position of the maximum value in the slope stability classification assessment matrix as the initial stability type of the slope.

[0048] Then, since the slopes in the slope group are close to each other, the instability of one slope may affect the stability of the surrounding slopes. Considering this influence, in order to obtain a more accurate slope stability, this embodiment sets the forced instability value of each slope based on the number of unstable slopes in the neighborhood of each slope in the slope group, or / and the distance between slopes, or / and the predicted area of ​​slope sliding.

[0049] Stable slopes are relatively stable. However, when a large number of unstable slopes become unstable within the vicinity of a stable slope, the stable slope is easily affected and may also become unstable. Therefore, in this embodiment, the forced instability value of the stable slope is obtained by the following formula:

[0050] I1=1-e -λM ,

[0051] I1 is the forced instability value of a stable slope, M is the total number of unstable slopes in the neighborhood of the stable slope, and λ is the quantity influence coefficient, which can be determined by statistical analysis of a large amount of slope data and by methods such as maximum likelihood estimation.

[0052] Since moderately stable and unstable slopes are highly sensitive to instability, in order to improve the calculation accuracy, this embodiment sets the forced instability value of moderately stable or unstable slopes based on the number, distance and predicted sliding area of ​​unstable slopes.

[0053] The forced instability value of a moderately stable or unstable slope is obtained by the following formula:

[0054]

[0055] I i Let M be the forced instability value for a moderately stable slope (i=2) or an unstable slope (i=3), M be the total number of affected slopes, and the affected slopes are unstable slopes within the neighborhood of the moderately stable or unstable slopes. Let k be the area influence coefficient, and A be the area influence coefficient. m Let G(d) be the predicted sliding area of ​​the m-th influencing slope. m) represents the distance attenuation value of the m-th slope influencing the slope, which is the attenuation effect of slope distance on the influence of the neighborhood of a moderately stable or unstable slope. ρ is the distance influence coefficient, and d m denoted as the distance between the m-th influencing slope and a moderately stable or unstable slope.

[0056] Finally, based on the initial stability type and forced instability value of each slope, a comprehensive instability score is obtained for each slope, which serves as the monitoring importance score for each slope. The higher the comprehensive instability score of a slope, the more prone it is to instability and the more important it is to monitor; therefore, the higher the corresponding monitoring importance score.

[0057] The first calculation method, to improve calculation efficiency, uses the following formula to obtain the slope monitoring importance score:

[0058] S = w0·s0 + w1·I·s m ,

[0059] S represents the monitoring importance score, w0 represents the initial stable type score weight, s0 represents the score corresponding to the initial stable type (obtained by quantifying the initial stable type into a score value), w1 represents the forced instability value weight, I represents the forced instability value, and s m The initial stability type score is the total score. For example, if the initial stability type score is 4 points, the corresponding scores for stable slope, moderately stable slope, and unstable slope are 1 point, 2 points, and 4 points, respectively. The initial stability type score and the forced instability value correspond to the score I·s. m Combining the obtained monitoring importance score can more comprehensively reflect the slope stability.

[0060] To further enhance the differentiation between slopes and improve the accuracy of slope monitoring importance scoring zones, this embodiment, based on the above calculation formula and considering the slope height, soil and rock properties, and geological structure properties, designs a slope monitoring importance score that can be obtained through the following formula:

[0061]

[0062] S represents the monitoring importance score, w0 represents the initial stable type score weight, s0 represents the score corresponding to the initial stable type (obtained by quantifying the initial stable type into a numerical value), w1 represents the forced instability value weight, I represents the forced instability value, and s m The initial stability type score is represented by H, which is the slope height, γ (cohesion of soil and rock), φ (angle of internal friction of soil and rock), c (unit weight of soil and rock), and U (geological structure development). The ratio reflects the ratio of sliding force to anti-sliding force of the slope rock and soil, and reflects the stability of the slope rock and soil.

[0063] S2. Obtain spatiotemporal information of sensors, monitoring equipment, professionals, and auxiliary tools within the vicinity of the slope group, and construct a slope monitoring resource structure map; based on the slope monitoring resource structure map, obtain several monitoring resource combination schemes.

[0064] By acquiring spatiotemporal information of monitoring resources (sensors, monitoring equipment, professionals, and auxiliary tools) within the vicinity of a slope group, a slope monitoring resource structure map is constructed to show the complex spatiotemporal relationships and interactions between monitoring resources in the slope group. This facilitates the rapid and accurate acquisition of monitoring resource combination schemes that can improve the stability, rationality, and economy of monitoring.

[0065] First, in order to facilitate the display of the spatiotemporal distribution of slope monitoring resources near the slope group, this embodiment statistically analyzes the information of sensors, monitoring equipment, professionals, and auxiliary tools with available time, thereby obtaining spatiotemporal information of sensors, monitoring equipment, professionals, and auxiliary tools within the vicinity of the slope group.

[0066] Then, based on the spatiotemporal information of sensors, monitoring equipment, professionals, and auxiliary tools within the neighborhood of the slope group, a slope monitoring resource structure map that is updated in real time and can reflect the complex spatiotemporal relationships and interactions between monitoring resources is constructed.

[0067] The nodes in the slope monitoring resource structure diagram are: sensors with available time (sensors that can be directly installed inside the slope body and can directly acquire slope conditions, such as fiber optic displacement sensors, stress sensors, pore water pressure sensors, etc.), monitoring equipment (drones, cameras, ground monitoring stations, etc. that can be installed outside the slope to acquire slope conditions), professionals (such as geotechnical engineers, surveying engineers, and geological engineers), and auxiliary tools (such as mounting brackets, drilling equipment, anchoring tools, etc.).

[0068] In the slope monitoring resource structure diagram, if there are interactive relationships between nodes, then there are edges between the nodes. The interactive relationships between sensors, monitoring equipment, and auxiliary tools are those that have appeared together in the past (have been used together to monitor a slope) or have functional relevance (based on the same function). If the interactive relationships between professionals and sensors, monitoring equipment, or auxiliary tools are those that professionals have used in the past, then the interaction relationships are those that professionals have used in the past.

[0069] In the slope monitoring resource structure diagram, edge strength is obtained by weighted summation of the distance between monitoring resources corresponding to a node and the node interaction degree. The weight of the distance between nodes is greater than the weight of the node interaction degree. This drives the subsequent generation of monitoring resource combination schemes to prioritize the generation of resource combination schemes with closer monitoring resources, thereby enhancing the practical operability of the resource combination schemes. Node interaction degree is obtained based on the number of times nodes co-occur in history, or / and the number of times they overlap with functional keywords, or / and the number of times they have been used by professionals in history.

[0070] Finally, based on the slope monitoring resource structure diagram, several monitoring resource combination schemes were obtained.

[0071] The operation to obtain several monitoring resource combination schemes is as follows: Based on the edge relationships in the slope monitoring resource structure map, sensors, monitoring equipment and auxiliary tools are combined with corresponding professionals to obtain several initial combination schemes; after the several initial combination schemes are cross-combined, the combination schemes are screened based on fitness to obtain several monitoring resource combination schemes. The specific operation is as follows.

[0072] Step 1: To ensure the stability and rationality of the resource combination scheme, each sensor, monitoring device and auxiliary tool is combined with the corresponding professional personnel to obtain several initial combination schemes for sensor personnel, several initial combination schemes for monitoring personnel, and several initial combination schemes for tool personnel.

[0073] Step 2: To further enrich the resource combination schemes, several initial combination schemes are cross-combined. Specifically: following the principle of combining sensors and auxiliary tools, and monitoring equipment and auxiliary tools, the sensor personnel pairing scheme and the monitoring personnel pairing scheme are combined with the tool personnel pairing scheme, respectively. Duplicate professionals are removed to obtain several sensor-tool-personnel combination schemes and several monitoring-tool-personnel combination schemes. Following the principle of combining sensors, monitoring equipment, and auxiliary tools, the initial sensor personnel pairing scheme, the initial monitoring personnel pairing scheme, and the initial tool personnel pairing scheme are combined, and duplicate professionals are removed to obtain several sensor-monitoring-tool-personnel combination schemes.

[0074] Step 3: To reduce the cost of resource combination schemes, the combination schemes are screened based on fitness. Specifically, several sensor tool and personnel combination schemes, several monitoring tool and personnel combination schemes, and several sensor monitoring tool and personnel combination schemes are deleted from those with fitness values ​​less than the first fitness threshold, the second fitness threshold, and the third fitness threshold, respectively. Several preferred sensor tool and personnel combination schemes, several preferred monitoring tool and personnel combination schemes, and several preferred sensor monitoring tool and personnel combination schemes with high edge strength (close distance between monitoring resources, high interaction, and strong interaction relationship between monitoring resources), many edge lines (strong interaction relationship between monitoring resources), and few nodes (few monitoring resources) are obtained as several monitoring resource combination schemes to achieve efficient utilization and optimized allocation of slope monitoring resources.

[0075] The fitness of the combined scheme is obtained based on the edge strength, edge quantity, and node quantity of the monitored resources in the combined scheme.

[0076] Fitness is calculated using the following formula:

[0077]

[0078] F represents fitness, w E w e w R These are respectively edge strength weight, edge quantity weight, and node quantity weight. E is the sum of the edge strengths of all combinations. j Let J be the edge strength of the j-th edge in the combination scheme, and J be the total number of edges in the combination scheme. This represents the maximum sum of edge strengths across all possible combinations. To represent the total number of edges for all nodes in the combined scheme, e r Let R be the number of edges at the r-th node in the combination scheme, and R be the total number of nodes in the combination scheme. R is the maximum sum of the number of nodes and edges in all combinations, and min(R) is the minimum total number of nodes in all combinations.

[0079] S3. When monitoring data of multiple slopes within a slope group are abnormal, the corresponding slope shall be selected from several monitoring resource combination schemes in descending order of monitoring importance score, and the optimal monitoring resource combination scheme shall be selected as the corresponding recommended monitoring scheme.

[0080] When multiple slope monitoring data within a slope group are abnormal, monitoring resource combination schemes are selected in order of monitoring importance score. This can prioritize responses to high-risk slopes, avoid delays in resource allocation, improve timeliness, and enhance the adaptability and intelligence of slope monitoring resource mobilization within the slope group.

[0081] When multiple slopes within a slope group simultaneously exhibit abnormal monitoring data, in order to systematically arrange slope monitoring plans, the corresponding slope is selected from several monitoring resource combination schemes in descending order of monitoring importance scores, and the optimal monitoring resource combination scheme is chosen as the corresponding recommended monitoring scheme.

[0082] The optimal monitoring resource combination scheme is the one among several schemes where the product of the corresponding feature vector and the feature vector of the slope with anomalies in the monitoring data is the largest. The feature vector of the slope with anomalies is obtained based on slope height, slope angle, soil and rock properties, groundwater information, and crack development information. The feature vector corresponding to the monitoring resource combination scheme is obtained by embedding the monitoring resource combination scheme.

[0083] When the monitoring data shows anomalies, after the optimal monitoring resource combination scheme for the previous slope has been selected, the slope monitoring resource structure diagram (deleting the monitoring resources selected for the previous slope in the slope monitoring resource structure diagram) and the monitoring resource combination scheme (obtained from the updated slope monitoring resource structure diagram) are updated and used to select the optimal monitoring resource combination scheme for the current slope.

[0084] This embodiment provides an intelligent mobilization system for slope monitoring resources within a slope group, used to implement the aforementioned intelligent mobilization method for slope monitoring resources within a slope group, including:

[0085] The monitoring importance score generation module is used to obtain the forced instability value of each slope based on the number of unstable slopes in the neighborhood of each slope in the slope group, and / or the distance between slopes, and / or the predicted area of ​​slope sliding; and to obtain the monitoring importance score of each slope based on the initial stability type and forced instability value of each slope.

[0086] The monitoring resource combination scheme generation module is used to acquire spatiotemporal information of sensors, monitoring equipment, professionals, and auxiliary tools within the neighborhood of the slope group, and construct a slope monitoring resource structure map. Based on the edge relationships in the slope monitoring resource structure map, sensors, monitoring equipment, and auxiliary tools are combined with corresponding professionals to obtain several initial combination schemes. After several initial combination schemes are cross-combined, the combination schemes are screened based on fitness to obtain several monitoring resource combination schemes.

[0087] The recommended monitoring scheme generation module is used to select the optimal monitoring resource combination scheme from several monitoring resource combination schemes as the corresponding recommended monitoring scheme when the monitoring data of multiple slopes in a slope group are abnormal at the same time, according to the monitoring importance score from high to low.

[0088] This embodiment also provides an intelligent mobilization device for slope monitoring resources within a slope group, including a processor and a memory, wherein the processor executes the computer program stored in the memory to implement the above-mentioned intelligent mobilization method for slope monitoring resources within a slope group.

[0089] This embodiment also provides a computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the above-described method for intelligent mobilization of slope monitoring resources within a slope group.

[0090] This embodiment provides an intelligent mobilization method for slope monitoring resources within a slope group. Considering the mutual influence between slopes in the group, the method obtains the forced instability value of each slope based on the number of unstable slopes within the slope's neighborhood, and / or the distance between slopes, and / or the predicted area of ​​slope sliding. This value is then combined with the initial stability type of the slope to obtain a corresponding monitoring importance score. Simultaneously, by acquiring the spatiotemporal information of monitoring resources (sensors, monitoring equipment, professionals, and auxiliary tools) within the slope group's neighborhood, a slope monitoring resource structure diagram is constructed, showcasing the complex spatiotemporal and interactive relationships between monitoring resources in the slope group. This yields a monitoring resource combination scheme that improves monitoring stability, rationality, and economy. Finally, when multiple slope monitoring data within the slope group are abnormal, the monitoring resource combination scheme is selected sequentially according to the monitoring importance score. This prioritizes responses to high-risk slopes, avoids resource allocation delays, improves timeliness, and enhances the adaptability and intelligence of slope monitoring resource mobilization within the slope group.

[0091] While exemplary embodiments of the invention have been shown and described in detail herein, many other variations or modifications of the invention can be directly determined or derived from the disclosure of the invention without departing from the spirit and scope thereof. Therefore, the scope of the invention should be understood and construed to cover all such other variations or modifications.

Claims

1. A method for intelligently allocating slope monitoring resources within a slope group, characterized in that, This includes the following operations: Based on the number of unstable slopes in the neighborhood of each slope in the slope group, and / or the distance between slopes, and / or the predicted area of ​​slope sliding, the forced instability value of each slope is obtained; based on the initial stability type and forced instability value of each slope, the monitoring importance score of each slope is obtained. The method for obtaining the initial stability type of a slope is as follows: Substitute the slope gradient, soil / rock type, and geological structure development degree of the slope into their respective stability grading assessment piecewise functions to obtain several levels of slope stability assessment values, soil / rock stability assessment values, and geological structure stability assessment values; construct a stability grading matrix based on these values; multiply the weight matrix formed by the slope gradient weight, soil / rock weight, and geological structure development degree weight with the stability grading matrix to obtain the slope stability grading assessment matrix; and take the slope stability type corresponding to the maximum value in the slope stability grading assessment matrix as the initial stability type of the slope. Acquire spatiotemporal information of sensors, monitoring equipment, professionals, and auxiliary tools within the vicinity of the slope group to construct a slope monitoring resource structure map; Edge strength is obtained by weighted summation of the distance between the monitored resources corresponding to the nodes and the node interaction degree, with the weight of the distance between nodes being greater than the weight of the node interaction degree. Based on the edge relationships in the slope monitoring resource structure map, sensors, monitoring equipment, and auxiliary tools are combined with corresponding professionals to obtain several initial combination schemes. After cross-combining the several initial combination schemes, the combination schemes are screened based on fitness to obtain several monitoring resource combination schemes. When monitoring data of multiple slopes within a slope group are abnormal, the corresponding slopes are selected from several monitoring resource combination schemes in descending order of monitoring importance scores, and the optimal monitoring resource combination scheme is selected as the corresponding recommended monitoring scheme.

2. The intelligent mobilization method for slope monitoring resources within a slope group according to claim 1, characterized in that, The initial stability types of slopes include stable, moderately stable, and unstable. The forced instability value of a stable slope is obtained by the following formula: ， The forced instability value for a stable slope. M This represents the total number of unstable slopes within the neighborhood of a stable slope. Quantity influence coefficient 3. The intelligent mobilization method for slope monitoring resources within a slope group according to claim 1, characterized in that, The monitoring importance score is obtained using the following formula: ， To monitor importance scores, As the initial stable type score weight, The score corresponding to the initial stable type is obtained by quantifying the initial stable type into a score value. For forced unstable value weights, Forcibly unstable value, This is the total score for the initial stable type.

4. The intelligent mobilization method for slope monitoring resources within a slope group according to claim 1, characterized in that, Fitness is obtained based on the edge strength, number of edges, and number of nodes corresponding to the monitoring resources in the combined scheme; the monitoring resources include sensors, monitoring equipment, auxiliary tools, and professional personnel.

5. The intelligent mobilization method for slope monitoring resources within a slope group according to claim 4, characterized in that, Edge strength is obtained by weighted summation of the distance between the monitored resources corresponding to the nodes and the node interaction degree.

6. The intelligent mobilization method for slope monitoring resources within a slope group according to claim 1, characterized in that, After the previous slope where monitoring data simultaneously shows anomalies has selected the corresponding optimal monitoring resource combination scheme, the slope monitoring resource structure diagram and monitoring resource combination scheme are updated for use in selecting the optimal monitoring resource combination scheme for the current slope.

7. A smart mobilization system for slope monitoring resources within a slope group, used to implement the smart mobilization method for slope monitoring resources within a slope group according to claim 1, characterized in that, include: The monitoring importance score generation module is used to obtain the forced instability value of each slope based on the number of unstable slopes in the neighborhood of each slope in the slope group, and / or the distance between slopes, and / or the predicted area of ​​slope sliding; and to obtain the monitoring importance score of each slope based on the initial stability type and forced instability value of each slope. The monitoring resource combination scheme generation module is used to acquire spatiotemporal information of sensors, monitoring equipment, professionals, and auxiliary tools within the vicinity of the slope group, and construct a slope monitoring resource structure map; Based on the edge relationships in the slope monitoring resource structure map, sensors, monitoring equipment, and auxiliary tools are combined with corresponding professionals to obtain several initial combination schemes. After cross-combining the several initial combination schemes, the combination schemes are screened based on fitness to obtain several monitoring resource combination schemes. The recommended monitoring scheme generation module is used to select the optimal monitoring resource combination scheme from several monitoring resource combination schemes as the corresponding recommended monitoring scheme when the monitoring data of multiple slopes in a slope group are abnormal at the same time, according to the monitoring importance score from high to low.

8. A smart mobilization device for slope monitoring resources within a slope group, characterized in that, It includes a processor and a memory, wherein when the processor executes a computer program stored in the memory, it implements the intelligent mobilization method for slope monitoring resources within a slope group as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, Used to store a computer program, wherein the computer program, when executed by a processor, implements the intelligent mobilization method for slope monitoring resources within a slope group as described in any one of claims 1-6.

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