Settlement monitoring system and method for geological survey

CN120252634AActive Publication Date: 2025-07-04云启勘测设计有限公司 +1
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Patent Information

Application Number
CN202510409897.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-02
Publication Date
2025-07-04
Estimated Expiration
2045-04-02

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Abstract

The invention discloses a settlement monitoring system and method for geological survey, and relates to the technical field of data analysis, and the method comprises the steps: setting a training period, calculating the geological score of a training land parcel, determining the geological grade of the training land parcel, calculating the environment score of a sampling time point, and carrying out the calculation of the environment score and the settlement score according to the feature duration, the environment score and the settlement score. Establishing a prediction settlement scoring formula; the method comprises the following steps: collecting real-time geological condition parameters of a land parcel, determining the geological grade of the land parcel, presetting real-time characteristic duration, calculating a predicted environment score, inputting the real-time characteristic duration and the predicted environment score into a predicted settlement scoring formula of the geological grade, calculating a predicted settlement score, and calculating the settlement of the land parcel according to the predicted settlement score. According to the method, false alarm or missing alarm caused by environment sudden change or data lag is reduced, and the real-time performance and robustness of the early warning system are improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and specifically to a settlement monitoring system and method for geological exploration. Background Art

[0002] With the acceleration of the urbanization process and the advancement of major infrastructure construction, the importance of geological settlement monitoring in ensuring project safety and preventing geological disasters has become increasingly prominent. Traditional settlement monitoring methods mainly rely on manual regular inspections and fixed-threshold warning mechanisms. That is, devices such as GNSS and inclinometers are deployed to collect settlement data, and a single settlement rate or displacement threshold is set based on experience. When the monitored value exceeds the preset threshold, an alarm is triggered. However, the geological environment has complex spatio-temporal heterogeneity, and fixed thresholds are difficult to adapt to the dynamic settlement characteristics under different rock and soil types, hydrogeological conditions, and engineering loads, resulting in a high false alarm rate. Traditional methods only focus on instantaneous over-limit alarms and lack in-depth excavation of the evolution law of settlement trends, and cannot achieve early warning in the budding stage of disasters.

[0003] In recent years, the development of Internet of Things sensing technology, multi-source remote sensing, and geological big data analysis has provided a new path for the intelligentization of settlement monitoring. The new monitoring system can collect multi-dimensional data such as surface displacement, groundwater level, and soil stress in real time through a high-density sensor network, realize settlement early warning analysis, improve the intelligent level of geological settlement monitoring, and ensure the safety of major infrastructure throughout its life cycle. Summary of the Invention

[0004] The purpose of the present invention is to provide a settlement monitoring system and method for geological exploration to solve the problems raised in the prior art.

[0005] To solve the above technical problems, the present invention provides the following technical solution: A settlement monitoring method for geological exploration, the method includes:

[0006] Step S100: Collect the geological condition parameters of the plot corresponding to a certain exploration area, calculate the geological score of the plot, summarize the geological scores of the plots corresponding to all exploration areas, and determine the geological score range corresponding to each geological grade;

[0007] Step S200: In a certain geological grade, obtain the historical monitoring records of a certain plot, collect the settlement parameters of a certain historical monitoring record, calculate the settlement score of the historical monitoring record, collect the change value of the environmental parameters of the historical monitoring record, calculate the change rate of the environmental parameters, and draw the settlement score curve of the plot and the change rate curves of all environmental parameters;

[0008] Step S300: Calculate the slope change value of the time period in the settlement score curve graph, determine the characteristic time period, calculate the slope change value of the change rate curve graph of a certain environmental parameter in a certain characteristic time period, and determine the environmental parameter influence ranking set of a certain geological grade;

[0009] Step S400: Set the training cycle, calculate the geological score of the training plot, determine the geological grade of the training plot, calculate the environmental score at the sampling time point, and establish a predicted settlement score formula based on the characteristic duration, environmental score, and settlement score;

[0010] Step S500: Collect the real-time geological condition parameters of the plot, determine the geological grade of the plot, preset the real-time characteristic duration, calculate the predicted environmental score, input the real-time characteristic duration and the predicted environmental score into the predicted settlement score formula of the geological grade, calculate the predicted settlement score, and determine the execution steps according to the predicted settlement score.

[0011] Further, step S100 includes:

[0012] Step S101: Obtain the plots corresponding to a certain survey area of historical monitoring, collect the geological condition parameters of the plots, summarize the geological condition parameters of the plots corresponding to all survey areas, perform normalization processing on the geological condition parameters, and calculate the geological score of the plot according to the following formula:

[0013]

[0014] Among them, A represents the geological score of the plot, B a represents the normalized value of the a-th geological condition parameter, C a represents the weight of the a-th geological condition parameter, and b represents the total number of geological condition parameters;

[0015] Step S102: Summarize the geological scores of the plots corresponding to all survey areas, calculate the average value of the geological scores as A1 and the standard deviation as A2, and calculate the grade thresholds as K1 = A1 - k × A2, K2 = A1 + k × A2, where K1 represents the first grade threshold, K2 represents the second grade threshold, and k represents the preset value;

[0016] Step S103: Obtain the minimum value A min and the maximum value A mzx of the geological scores of the plots corresponding to all survey areas. If K1 < A min , then K min = K1. If K1 > A min , then K min = A min . If K2 < A max , then Kmax = A max If K2 > A max then K max = K2, and the geological score ranges corresponding to each geological grade are respectively [K min , K1), [K1, K2), [K2, K max , and summarize the plots corresponding to a certain geological grade;

[0017] Through normalization processing and weighted calculation, this method can integrate multiple geological parameters to form a quantitative geological score, enabling direct comparison of the geological conditions of different plots and improving the objectivity and consistency of the evaluation;

[0018] It integrates multiple geological condition parameters and adjusts the importance of each parameter through weights, thus being able to more comprehensively reflect the geological stability or suitability of the plot, rather than relying only on a single indicator;

[0019] By analyzing historical monitoring data, it can optimize the geological score and grade division as the data is continuously updated, thereby improving the accuracy and reliability of the prediction and reducing the subjective error of human judgment.

[0020] Furthermore, step S200 includes:

[0021] Step S201: Obtain the historical monitoring records of a plot in a certain geological grade, collect the settlement parameters of a certain historical monitoring record, calculate the difference from the settlement parameters of the previous historical monitoring record to obtain the change value of the settlement parameters, summarize all the change values of the settlement parameters, and perform normalization processing;

[0022] Step S202: Calculate the settlement score of a certain historical monitoring record according to the following formula:

[0023]

[0024] where D represents the settlement score, E d represents the normalized value of the d-th settlement parameter, F d represents the weight of the d-th settlement parameter, and e represents the total number of settlement parameters;

[0025] Step S203: Collect the change value of the environmental parameters corresponding to a certain historical monitoring record, and calculate the change rate G = H / T of the environmental parameters, where G represents the change rate of the environmental parameters, H represents the change value of the environmental parameters, and T represents the duration of the historical monitoring record;

[0026] Step S204: Aggregate the settlement scores of the historical monitoring records of a certain plot and the change rates of all environmental parameters, sort them in the chronological order of the historical monitoring records, and respectively draw a settlement score curve graph and a change rate curve graph of all environmental parameters. The settlement score curve graph takes the historical monitoring records as the abscissa and the settlement scores as the ordinate, and the change rate curve graph of the environmental parameters takes the historical monitoring records as the abscissa and the change rates of the environmental parameters as the ordinate;

[0027] By calculating the change values of the settlement parameters in the historical monitoring records and performing normalization processing, the settlement situation can be quantitatively analyzed, which is more scientific and accurate than simple observation or empirical judgment. Not only paying attention to the settlement scores, but also introducing the change rates of environmental parameters can identify the potential impacts of environmental factors on the plot settlement and provide data support for further analyzing the settlement causes;

[0028] By drawing the settlement score curve graph and the change rate curve graph of environmental parameters, the change trend of the plot settlement situation can be intuitively displayed. By continuously updating the monitoring data, the settlement scores and the impact assessment of environmental parameters can be dynamically optimized, providing more accurate data support and enhancing the scientific nature of decision-making.

[0029] Further, step S300 includes:

[0030] Step S301: Obtain the settlement score curve graph of a certain plot, set every two adjacent historical monitoring records as a time period, calculate the slope change value of a certain time period in the settlement score curve graph, preset a slope change threshold, compare the slope change value of a certain time period with the slope change threshold, and when it exceeds the slope change threshold, set the time period as a characteristic time period;

[0031] Step S302: Obtain the change rate curve graph of all environmental parameters corresponding to the plot, calculate the slope change value of the change rate curve graph of a certain environmental parameter in a certain characteristic time period, aggregate the slope change values of all characteristic time periods of a certain environmental parameter, and calculate the average slope change value;

[0032] Step S303: Aggregate the average slope change values of each environmental parameter corresponding to all plots of the same geological grade, calculate the characteristic change value, sort all environmental parameters from high to low according to the characteristic change value, and obtain the environmental parameter impact ranking set of the geological grade;

[0033] By calculating the slope change values of the settlement score curve and the change rate curve of environmental parameters, a refined analysis can be carried out for each plot and environmental parameter. Not only paying attention to a single settlement score, but also comprehensively considering the change trend of environmental factors helps to better evaluate the impacts of different environmental parameters on settlement in a specific time period;

[0034] Automatically identify the characteristic time period through the slope change threshold, which can capture the critical moment of settlement change. For example, when the change trend of the settlement score curve is large, this time period will be marked as the characteristic time period, which provides timely warning information for managers and serves as data support for subsequent analysis;

[0035] By calculating the slope change value of environmental parameters within the characteristic time period, the influence of environmental factors can be quantified, and it can be determined which environmental parameters have a greater impact on settlement or plot changes, thus providing a scientific basis for risk assessment and the establishment of an early warning system;

[0036] Based on data analysis, by calculating the change rates of all environmental parameters and sorting them according to their average slope change values, a clear sorting result is provided. Through the quantitative analysis of environmental parameters, it can be clearly seen which environmental factors have the most significant impact on the plot.

[0037] Furthermore, step S400 includes:

[0038] Step S401: Select consecutive days as the training period, collect the geological condition parameters of the training plot, calculate the geological score of the training plot, and determine the geological grade of the training plot;

[0039] Step S402: During the training period, preset several sampling time points, set the time interval between two adjacent sampling time points as the characteristic duration, calculate the settlement score at a certain sampling time point, collect all environmental parameters at the sampling time point, calculate the change rates of all environmental parameters, obtain the environmental parameter influence sorting set of the geological grade, assign values to each environmental parameter in the order of the environmental parameter influence sorting set, and calculate the environmental score according to the following formula:

[0040]

[0041] Among them, P represents the environmental score, G g represents the change rate of the g-th environmental parameter, L g represents the weight of the g-th environmental parameter, and h represents the total number of environmental parameters;

[0042] Step S403: Take the characteristic duration, environmental score, and settlement score as the evaluation data group, summarize the evaluation data groups of all sampling time points, perform function fitting, and establish the predicted settlement score formula as:

[0043] D = P×Q×N + M;

[0044] Among them, Q represents the characteristic duration, N represents the weight of the predicted settlement score, and M represents the deviation value of the predicted settlement score;

[0045] By collecting geological condition parameters, calculating geological scores, and calculating characteristic durations during the training period, it is possible to combine the settlement score and the change rate of environmental parameters to provide a more accurate geological risk assessment. Compared with traditional methods, multi-dimensional data analysis can more effectively identify potential factors affecting settlement, thereby improving the accuracy of the assessment;

[0046] By sorting the change rate of environmental parameters and assigning values to calculate the environmental score, it is possible to dynamically adjust the influence of each environmental factor on the settlement score. As time changes, the contribution of the change of environmental parameters to the settlement score may be different. The method can flexibly adjust the weights and provide an accurate environmental impact analysis by continuously updating the environmental score;

[0047] By establishing a predicted settlement score formula through function fitting, it is possible to predict future settlement conditions, and through the preset relationship between the environmental score and the settlement score, better predict the settlement trend of the plot. Using historical data and the change rate of the environment, it has a strong ability to predict the settlement trend, providing a reliable technical support for taking preventive measures in advance.

[0048] Further, step S500 includes:

[0049] Step S501: Collect the real-time geological condition parameters of the plot, calculate the real-time geological score of the plot, and determine the geological grade of the plot;

[0050] Step S502: Preset the real-time characteristic duration, obtain the environmental parameters released in the weather forecast within the real-time characteristic duration, calculate the predicted environmental score, and input the real-time characteristic duration and the predicted environmental score into the predicted settlement score formula of the geological grade to calculate the predicted settlement score;

[0051] Step S503: When the real-time characteristic duration is reached, calculate the real-time environmental score, and calculate the difference between the real-time environmental score and the predicted environmental score. Preset a difference threshold. When the difference does not exceed the difference threshold, calculate the real-time settlement score. If the real-time settlement score is less than or equal to the predicted settlement score, continue to execute step S502. If the real-time settlement score is greater than the predicted settlement score, issue a warning to prompt the staff. When the difference exceeds the difference threshold, execute step S504;

[0052] Step S504: Calculate the real-time settlement score, and input the real-time settlement score and the real-time environmental score into the predicted settlement score formula of the geological grade to calculate the predicted characteristic duration. If the predicted characteristic duration is greater than or equal to the real-time characteristic duration, continue to execute step S502. If the predicted characteristic duration is less than the real-time characteristic duration, issue a warning to prompt the staff;

[0053] Combining historical data training with real-time monitoring data, it realizes the calculation of the predicted settlement score. By comparing the real-time environmental score with the predicted environmental score and making dynamic adjustments, the prediction result is closer to the actual situation, enhancing the timeliness and accuracy of monitoring;

[0054] Within the real-time feature duration, the system continuously monitors the changes in geological scores, environmental scores, and settlement scores. When the difference between the actual environmental score and the predicted environmental score exceeds the threshold, or the real-time settlement score is higher than the predicted settlement score, the system will automatically issue a warning to prompt the staff to intervene. This intelligent warning mechanism significantly reduces the occurrence probability of sudden geological risks;

[0055] By calculating the real-time geological score and environmental score and combining the predicted settlement score formula, the system can continuously adjust the prediction model to make it more in line with the current settlement trend of the plot. Compared with traditional static prediction methods, it has higher accuracy and flexibility.

[0056] To better implement the above method, a settlement monitoring system for geological exploration is also proposed. The system includes a geological grade module, a curve graph module, an environmental parameter impact ranking set module, a predicted settlement score formula module, and a real-time analysis module;

[0057] Geological grade module: Collect the geological condition parameters of the plot corresponding to a certain exploration area, calculate the geological score of the plot, summarize the geological scores of the plots corresponding to all exploration areas, and determine the geological score range corresponding to each geological grade;

[0058] Curve graph module: At a certain geological grade, obtain the historical monitoring records of a certain plot, collect the settlement parameters of a certain historical monitoring record, calculate the settlement score of the historical monitoring record, collect the change value of the environmental parameters of the historical monitoring record, calculate the change rate of the environmental parameters, and draw the settlement score curve graph of the plot and the change rate curve graph of all environmental parameters;

[0059] Environmental parameter impact ranking set module: In the settlement score curve graph, calculate the slope change value of the time period, determine the characteristic time period, calculate the slope change value of the change rate curve graph of a certain environmental parameter in a certain characteristic time period, and determine the environmental parameter impact ranking set of a certain geological grade;

[0060] Predicted settlement score formula module: Set the training period, calculate the geological score of the training plot, determine the geological grade of the training plot, calculate the environmental score at the sampling time point, and establish a predicted settlement score formula based on the characteristic duration, environmental score, and settlement score;

[0061] Real-time analysis module: Collect real-time geological condition parameters of a plot, determine the geological grade of the plot, preset the real-time feature duration, calculate the predicted environmental score, input the real-time feature duration and the predicted environmental score into the predicted settlement score formula of the geological grade, calculate the predicted settlement score, and determine the execution steps according to the predicted settlement score.

[0062] Furthermore, the curve graph module includes a calculation data unit and a curve graph drawing unit:

[0063] Calculation data unit: Obtain the historical monitoring records of a plot in a certain geological grade, collect the settlement parameters of a certain historical monitoring record, calculate the difference from the settlement parameters of the previous historical monitoring record to obtain the change value of the settlement parameters, summarize all the change values of the settlement parameters, perform normalization processing, calculate the settlement score of a certain historical monitoring record, collect the change value of the environmental parameters corresponding to a certain historical monitoring record, and calculate the change rate of the environmental parameters;

[0064] Curve graph drawing unit: Summarize the settlement scores of the historical monitoring records of a plot and the change rates of all environmental parameters, sort them in the chronological order of the historical monitoring records, and draw a settlement score curve graph and a change rate curve graph of all environmental parameters respectively. The settlement score curve graph uses the historical monitoring record as the abscissa and the settlement score as the ordinate, and the change rate curve graph of the environmental parameters uses the historical monitoring record as the abscissa and the change rate of the environmental parameters as the ordinate.

[0065] Furthermore, the environmental parameter influence ranking set module includes a characteristic time period determination unit and an environmental parameter influence ranking set establishment unit:

[0066] Characteristic time period determination unit: Obtain the settlement score curve graph of a plot, set every two adjacent historical monitoring records as a time period, calculate the slope change value of a certain time period in the settlement score curve graph, preset the slope change threshold, compare the slope change value of a certain time period with the slope change threshold, and when it exceeds the slope change threshold, set the time period as the characteristic time period;

[0067] Environmental parameter influence ranking set establishment unit: Obtain the change rate curve graph of all environmental parameters corresponding to the plot, calculate the slope change value of the change rate curve graph of a certain environmental parameter in a certain characteristic time period, summarize the slope change values of all characteristic time periods of a certain environmental parameter, calculate the average slope change value, summarize the average slope change values of each environmental parameter corresponding to all plots in the same geological grade, calculate the characteristic change value, and sort all environmental parameters from high to low according to the characteristic change value to obtain the environmental parameter influence ranking set of the geological grade.

[0068] Further, the real-time analysis module includes a calculation and prediction settlement scoring unit and an analysis and adjustment unit:

[0069] Calculation and prediction settlement scoring unit: Collect real-time geological condition parameters of the plot, calculate the real-time geological score of the plot, determine the geological grade of the plot, preset the real-time feature duration, obtain the environmental parameters released in the weather forecast within the real-time feature duration, calculate the predicted environmental score, and input the real-time feature duration and the predicted environmental score into the prediction settlement scoring formula of the geological grade to calculate the predicted settlement score;

[0070] Analysis and adjustment unit: When the real-time feature duration is reached, calculate the real-time environmental score, and calculate the difference between the real-time environmental score and the predicted environmental score. Preset the difference threshold. When the difference does not exceed the difference threshold, calculate the real-time settlement score. If the real-time settlement score is less than or equal to the predicted settlement score, continue to execute step S502. If the real-time settlement score is greater than the predicted settlement score, issue a warning to prompt the staff. When the difference exceeds the difference threshold, calculate the real-time settlement score, and input the real-time settlement score and the real-time environmental score into the prediction settlement scoring formula of the geological grade to calculate the predicted feature duration. If the predicted feature duration is greater than or equal to the real-time feature duration, continue to execute step S502. If the predicted feature duration is less than the real-time feature duration, issue a warning to prompt the staff.

[0071] Compared with the prior art, the beneficial effects of the present invention are:

[0072] By integrating multi-dimensional data such as geological condition parameters, settlement parameters, and environmental parameter change rates, and combining comprehensive indicators such as geological scores, settlement scores, and environmental scores, it realizes the all-round dynamic monitoring of the settlement of the plot, significantly improves the comprehensiveness and accuracy of the evaluation, and avoids misjudgment caused by the deviation of a single indicator;

[0073] Through the difference threshold between the predicted environmental score and the real-time environmental score, the prediction model is dynamically corrected. By combining the comparison of the real-time feature duration and the predicted feature duration, the dynamic optimization of the model parameters is realized, reducing false alarms or missed alarms caused by environmental mutations or data lags, and improving the real-time performance and robustness of the warning system. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 It is a schematic flow chart of a settlement monitoring method for geological exploration of the present invention;

[0075] Figure 2 It is a schematic structural diagram of a settlement monitoring system for geological exploration of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0076] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0077] Please refer to Figure 1 , the present invention provides a technical solution: a settlement monitoring method for geological exploration, the method includes:

[0078] Step S100: Collect the geological condition parameters of the plot corresponding to a certain exploration area, calculate the geological score of the plot, summarize the geological scores of the plots corresponding to all exploration areas, and determine the geological score range corresponding to each geological grade;

[0079] Among them, step S100 includes:

[0080] Step S101: Obtain the plot corresponding to a certain exploration area in historical monitoring, collect the geological condition parameters of the plot, summarize the geological condition parameters of the plots corresponding to all exploration areas, perform normalization processing on the geological condition parameters, and calculate the geological score of the plot according to the following formula:

[0081]

[0082] Among them, A represents the geological score of the plot, B a represents the normalized value of the a-th geological condition parameter, C a represents the weight of the a-th geological condition parameter, and b represents the total number of geological condition parameters;

[0083] Step S102: Summarize the geological scores of the plots corresponding to all exploration areas, calculate the average value of the geological scores as A1 and the standard deviation as A2, and calculate the grade thresholds as K1 = A1 - k × A2, K2 = A1 + k × A2, where K1 represents the first grade threshold, K2 represents the second grade threshold, and k represents a preset value;

[0084] Step S103: Obtain the minimum value A min and the maximum value A mzx of the geological scores of the plots corresponding to all exploration areas. If K1 < A min , then K min = K1. If K1 > A min , then K min = A min . If K2 < A max , then K max = A max . If K2 > Amax , then K max = K2, and the geological score ranges corresponding to each geological grade are [K min , K1), [K1, K2), [K2, K max , and summarize the plots corresponding to a certain geological grade;

[0085] For example, assume there are 3 plots, and each plot has 3 geological condition parameters, namely soil density, groundwater level, and lithology type,

[0086]

[0087]

[0088] with weight values of 0.4, 0.3, and 0.3 respectively. The calculated geological score of plot 1 is 0.63, the geological score of plot 2 is 0.61, and the geological score of plot 3 is 0.62.

[0089] Step S200: In a certain geological grade, obtain the historical monitoring records of a certain plot, collect the settlement parameters of a certain historical monitoring record, calculate the settlement score of the historical monitoring record, collect the change values of environmental parameters of the historical monitoring record, calculate the change rate of environmental parameters, and draw the settlement score curve of the plot and the change rate curves of all environmental parameters;

[0090] Among them, step S200 includes:

[0091] Step S201: Obtain the historical monitoring records of a certain plot in a certain geological grade, collect the settlement parameters of a certain historical monitoring record, calculate the difference from the settlement parameters of the previous historical monitoring record to obtain the change value of the settlement parameters, summarize all the change values of the settlement parameters, and perform normalization processing;

[0092] Step S202: Calculate the settlement score of a certain historical monitoring record according to the following formula:

[0093]

[0094] Among them, D represents the settlement score, E d represents the value of the d-th settlement parameter after normalization processing, F d represents the weight value of the d-th settlement parameter, and e represents the total number of settlement parameters;

[0095] Step S203: Collect the change values of environmental parameters corresponding to a certain historical monitoring record, calculate the change rate of environmental parameters G = H / T, where G represents the change rate of environmental parameters, H represents the change value of environmental parameters, and T represents the duration of the historical monitoring record;

[0096] Step S204: Aggregate the settlement scores of the historical monitoring records of a certain plot and the change rates of all environmental parameters, sort them in the chronological order of the historical monitoring records, and respectively draw a settlement score curve graph and a change rate curve graph of all environmental parameters. The settlement score curve graph uses the historical monitoring records as the abscissa and the settlement scores as the ordinate, and the change rate curve graph of environmental parameters uses the historical monitoring records as the abscissa and the change rates of environmental parameters as the ordinate.

[0097] Step S300: In the settlement score curve graph, calculate the slope change value of a time period, determine the characteristic time period, calculate the slope change value of the change rate curve graph of a certain environmental parameter in a certain characteristic time period, and determine the environmental parameter influence sorting set of a certain geological grade;

[0098] Among them, step S300 includes:

[0099] Step S301: Obtain the settlement score curve graph of a certain plot, set every two adjacent historical monitoring records as a time period, calculate the slope change value of a certain time period in the settlement score curve graph, preset a slope change threshold, compare the slope change value of a certain time period with the slope change threshold, and when it exceeds the slope change threshold, set the time period as the characteristic time period;

[0100] Step S302: Obtain the change rate curve graph of all environmental parameters corresponding to the plot, calculate the slope change value of the change rate curve graph of a certain environmental parameter in a certain characteristic time period, aggregate the slope change values of all characteristic time periods of a certain environmental parameter, and calculate the average slope change value;

[0101] Step S303: Aggregate the average slope change values of each environmental parameter corresponding to all plots of the same geological grade, calculate the characteristic change value, sort all environmental parameters from high to low according to the characteristic change value, and obtain the environmental parameter influence sorting set of the geological grade.

[0102] Step S400: Set the training period, calculate the geological score of the training plot, determine the geological grade of the training plot, calculate the environmental score at the sampling time point, and establish a predicted settlement score formula according to the characteristic duration, environmental score and settlement score;

[0103] Among them, step S400 includes:

[0104] Step S401: Select consecutive several days as the training period, collect the geological condition parameters of the training plot, calculate the geological score of the training plot, and determine the geological grade of the training plot;

[0105] Step S402: During the training cycle, preset several sampling time points, set the time interval between two adjacent sampling time points as the feature duration, calculate the settlement score at a certain sampling time point, collect all environmental parameters at the sampling time point, calculate the change rate of all environmental parameters, obtain the environmental parameter influence ranking set of the geological grade, assign each environmental parameter in the order of the environmental parameter influence ranking set, and calculate the environmental score according to the following formula:

[0106]

[0107] where P represents the environmental score, and G g represents the change rate of the g-th environmental parameter, and L g represents the weight of the g-th environmental parameter, and h represents the total number of environmental parameters;

[0108] Step S403: Take the feature duration, environmental score, and settlement score as the evaluation data group, summarize the evaluation data groups of all sampling time points, perform function fitting, and establish the predicted settlement score formula as:

[0109] D = P × Q × N + M;

[0110] where Q represents the feature duration, N represents the weight of the predicted settlement score, and M represents the deviation value of the predicted settlement score;

[0111] For example,

[0112] Sampling time point Feature duration Environmental score Settlement score T1 10 0.51 0.75 T2 10 0.55 0.80

[0113] Function fitting gives N = 0.125 and M = 0.1125.

[0114] Step S500: Collect the real-time geological condition parameters of the plot, determine the geological grade of the plot, preset the real-time feature duration, calculate the predicted environmental score, input the real-time feature duration and the predicted environmental score into the predicted settlement score formula of the geological grade, calculate the predicted settlement score, and determine the execution step according to the predicted settlement score;

[0115] Among them, Step S500 includes:

[0116] Step S501: Collect the real-time geological condition parameters of the plot, calculate the real-time geological score of the plot, and determine the geological grade of the plot;

[0117] Step S502: Preset the real-time feature duration, obtain the environmental parameters released in the weather forecast within the real-time feature duration, calculate the predicted environmental score, input the real-time feature duration and the predicted environmental score into the predicted settlement score formula of the geological grade, and calculate the predicted settlement score;

[0118] Step S503: When the real-time feature duration is reached, calculate the real-time environmental score, and calculate the difference between the real-time environmental score and the predicted environmental score. Set a difference threshold. When the difference does not exceed the difference threshold, calculate the real-time settlement score. If the real-time settlement score is less than or equal to the predicted settlement score, continue to execute Step S502. If the real-time settlement score is greater than the predicted settlement score, issue a warning to prompt the staff. When the difference exceeds the difference threshold, execute Step S504;

[0119] Step S504: Calculate the real-time settlement score, and input the real-time settlement score and the real-time environmental score into the predicted settlement score formula of the geological grade to calculate the predicted feature duration. If the predicted feature duration is greater than or equal to the real-time feature duration, continue to execute Step S502. If the predicted feature duration is less than the real-time feature duration, issue a warning to prompt the staff.

[0120] To better implement the above method, a settlement monitoring system for geological exploration is also proposed. The system includes a geological grade module, a curve graph module, an environmental parameter influence ranking set module, a predicted settlement score formula module, and a real-time analysis module;

[0121] Geological grade module: Collect the geological condition parameters of the land corresponding to a certain exploration area, calculate the geological score of the land, summarize the geological scores of the land corresponding to all exploration areas, and determine the geological score range corresponding to each geological grade;

[0122] Curve graph module: At a certain geological grade, obtain the historical monitoring records of a certain land, collect the settlement parameters of a certain historical monitoring record, calculate the settlement score of the historical monitoring record, collect the environmental parameter change value of the historical monitoring record, calculate the change rate of the environmental parameter, and draw the settlement score curve graph of the land and the change rate curve graph of all environmental parameters;

[0123] Among them, the curve graph module includes a calculation data unit and a curve graph drawing unit:

[0124] Calculation data unit: Obtain the historical monitoring records of a certain land at a certain geological grade, collect the settlement parameters of a certain historical monitoring record, calculate the difference with the settlement parameters of the previous historical monitoring record to obtain the change value of the settlement parameters, summarize all the change values of the settlement parameters, and perform normalization processing, calculate the settlement score of a certain historical monitoring record, collect the environmental parameter change value corresponding to a certain historical monitoring record, and calculate the change rate of the environmental parameter;

[0125] Curve plotting unit: Summarize the settlement scores of historical monitoring records of a certain plot and the change rates of all environmental parameters, sort them in the chronological order of historical monitoring records, and respectively plot a settlement score curve and a change rate curve of all environmental parameters. The settlement score curve uses historical monitoring records as the abscissa and settlement scores as the ordinate, and the change rate curve of environmental parameters uses historical monitoring records as the abscissa and the change rate of environmental parameters as the ordinate.

[0126] Environmental parameter influence ranking set module: In the settlement score curve, calculate the slope change value of a time period, determine the characteristic time period, calculate the slope change value of the change rate curve of a certain environmental parameter in a certain characteristic time period, and determine the environmental parameter influence ranking set of a certain geological grade;

[0127] Among them, the environmental parameter influence ranking set module includes a characteristic time period determination unit and an environmental parameter influence ranking set establishment unit:

[0128] Characteristic time period determination unit: Obtain the settlement score curve of a certain plot, set every two adjacent historical monitoring records as a time period, calculate the slope change value of a certain time period in the settlement score curve, preset a slope change threshold, compare the slope change value of a certain time period with the slope change threshold, and when it exceeds the slope change threshold, set the time period as the characteristic time period;

[0129] Environmental parameter influence ranking set establishment unit: Obtain the change rate curves of all environmental parameters corresponding to the plot, calculate the slope change value of the change rate curve of a certain environmental parameter in a certain characteristic time period, summarize the slope change values of all characteristic time periods of a certain environmental parameter, calculate the average slope change value, summarize the average slope change values of each environmental parameter corresponding to all plots of the same geological grade, calculate the characteristic change value, and sort all environmental parameters from high to low according to the characteristic change value to obtain the environmental parameter influence ranking set of the geological grade.

[0130] Predicted settlement score formula module: Set the training cycle, calculate the geological score of the training plot, determine the geological grade of the training plot, calculate the environmental score at the sampling time point, and establish a predicted settlement score formula based on the characteristic duration, environmental score, and settlement score;

[0131] Real-time analysis module: Collect the real-time geological condition parameters of the plot, determine the geological grade of the plot, preset the real-time characteristic duration, calculate the predicted environmental score, input the real-time characteristic duration and the predicted environmental score into the predicted settlement score formula of the geological grade, calculate the predicted settlement score, and determine the execution steps according to the predicted settlement score

[0132] Among them, the real-time analysis module includes a calculation and prediction settlement scoring unit and an analysis and adjustment unit:

[0133] Calculation and prediction settlement scoring unit: Collect real-time geological condition parameters of the plot, calculate the real-time geological score of the plot, determine the geological grade of the plot, preset the real-time feature duration, obtain the environmental parameters released in the weather forecast within the real-time feature duration, calculate the predicted environmental score, and input the real-time feature duration and the predicted environmental score into the prediction settlement scoring formula of the geological grade to calculate the predicted settlement score;

[0134] Analysis and adjustment unit: When the real-time feature duration is reached, calculate the real-time environmental score, and calculate the difference between the real-time environmental score and the predicted environmental score. Preset a difference threshold. When the difference does not exceed the difference threshold, calculate the real-time settlement score. If the real-time settlement score is less than or equal to the predicted settlement score, continue to execute step S502. If the real-time settlement score is greater than the predicted settlement score, issue a warning to prompt the staff. When the difference exceeds the difference threshold, calculate the real-time settlement score, and input the real-time settlement score and the real-time environmental score into the prediction settlement scoring formula of the geological grade to calculate the predicted feature duration. If the predicted feature duration is greater than or equal to the real-time feature duration, continue to execute step S502. If the predicted feature duration is less than the real-time feature duration, issue a warning to prompt the staff.

[0135] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claimed rights.

Claims

1. A settlement monitoring method for geological exploration, characterized in that, The method includes: Step S100: Collect the geological condition parameters of the plots corresponding to a certain survey area, calculate the geological scores of the plots, summarize the geological scores of the plots corresponding to all survey areas, and determine the geological score ranges corresponding to each geological grade; Step S200: At a certain geological grade, obtain the historical monitoring records of a certain plot, collect the settlement parameters of a certain historical monitoring record, calculate the settlement score of the historical monitoring record, collect the change values of the environmental parameters of the historical monitoring record, calculate the change rate of the environmental parameters, and draw the settlement score curve of the plot and the change rate curves of all environmental parameters; Step S300: In the settlement score curve, calculate the slope change value of a time period, determine the characteristic time period, calculate the slope change value of the change rate curve of a certain environmental parameter in a certain characteristic time period, and determine the environmental parameter influence ranking set of a certain geological grade; Step S400: Set the training period, calculate the geological score of the training plot, determine the geological grade of the training plot, calculate the environmental score at the sampling time point, and establish a predicted settlement score formula based on the characteristic duration, environmental score, and settlement score; Step S500: Collect the real-time geological condition parameters of the plot, determine the geological grade of the plot, preset the real-time characteristic duration, calculate the predicted environmental score, input the real-time characteristic duration and the predicted environmental score into the predicted settlement score formula of the geological grade, calculate the predicted settlement score, and determine the execution steps according to the predicted settlement score.

2. The settlement monitoring method for geological exploration according to claim 1, characterized in that, The step S100 includes the following steps: Step S101: Obtain the plots corresponding to a certain survey area of historical monitoring, collect the geological condition parameters of the plots, summarize the geological condition parameters of the plots corresponding to all survey areas, normalize the geological condition parameters, and calculate the geological scores of the plots according to the following formula: Among them, A represents the geological score of the plot, and B a represents the normalized value of the a-th geological condition parameter, and C a represents the weight of the a-th geological condition parameter, and b represents the total number of geological condition parameters; Step S102: Summarize the geological scores of the plots corresponding to all survey areas, calculate the average value of the geological scores as A1 and the standard deviation as A2, and calculate the grade thresholds as K1 = A1 - k × A2, K2 = A1 + k × A2, where K1 represents the first grade threshold, K2 represents the second grade threshold, and k represents a preset value; Step S103: Obtain the minimum value A among the geological scores of the plots corresponding to all surveyed areas min and the maximum value A mzx . If K1 < A min , then K min = K1. If K1 > A min , then K min = A min . If K2 < A max , then K max = A max . If K2 > A max , then K max = K2. Obtain the geological score ranges corresponding to each geological grade as [K min , K1), [K1, K2), [K2, K max , and summarize the plots corresponding to a certain geological grade.

3. A settlement monitoring method for geological exploration according to claim 2, characterized in that, The step S200 includes the following steps: Step S201: Obtain the historical monitoring records of a certain plot at a certain geological grade, collect the settlement parameters of a certain historical monitoring record, calculate the difference from the settlement parameters of the previous historical monitoring record to obtain the change value of the settlement parameters, summarize all the change values of the settlement parameters, and normalize them; Step S202: Calculate the settlement score of a certain historical monitoring record according to the following formula: Among them, D represents the settlement score, and E d represents the normalized value of the d-th settlement parameter, and F d represents the weight of the d-th settlement parameter, and e represents the total number of settlement parameters; Step S203: Collect the change values of the environmental parameters corresponding to a certain historical monitoring record, calculate the change rate of the environmental parameters G = H / T, where G represents the change rate of the environmental parameters, H represents the change value of the environmental parameters, and T represents the duration of the historical monitoring record; Step S204: Aggregate the settlement scores of the historical monitoring records of a certain plot and the change rates of all environmental parameters, sort them in the chronological order of the historical monitoring records, and respectively plot a settlement score curve graph and a change rate curve graph of all environmental parameters. The settlement score curve graph takes the historical monitoring records as the abscissa and the settlement scores as the ordinate, and the change rate curve graph of environmental parameters takes the historical monitoring records as the abscissa and the change rates of environmental parameters as the ordinate.

4. A settlement monitoring method for geological exploration according to claim 3, characterized in that, The step S300 includes the following steps: Step S301: Obtain the settlement score curve graph of a certain plot. Set every two adjacent historical monitoring records as a time period, calculate the slope change value of a certain time period in the settlement score curve graph, preset a slope change threshold, compare the slope change value of a certain time period with the slope change threshold, and when it exceeds the slope change threshold, set the time period as a characteristic time period. Step S302: Obtain the change rate curve graph of all environmental parameters corresponding to the plot, calculate the slope change value of the change rate curve graph of a certain environmental parameter in a certain characteristic time period, aggregate the slope change values of all characteristic time periods of a certain environmental parameter, and calculate the average slope change value. Step S303: Aggregate the average slope change values of each environmental parameter corresponding to all plots of the same geological grade, calculate the characteristic change value, sort all environmental parameters from high to low according to the characteristic change value, and obtain the environmental parameter influence ranking set of the geological grade.

5. A settlement monitoring method for geological exploration according to claim 4, characterized in that, The step S400 includes the following steps: Step S401: Select a continuous number of days as the training period, collect the geological condition parameters of the training plot, calculate the geological score of the training plot, and determine the geological grade of the training plot. Step S402: During the training period, preset several sampling time points, set the time interval between two adjacent sampling time points as the characteristic duration, calculate the settlement score of a certain sampling time point, collect all environmental parameters at the sampling time point, calculate the change rates of all environmental parameters, obtain the environmental parameter influence ranking set of the geological grade, assign values to each environmental parameter according to the sequence of the environmental parameter influence ranking set, and calculate the environmental score according to the following formula: Among them, P represents the environmental score, and G g represents the change rate of the g-th environmental parameter, and L g represents the weight of the g-th environmental parameter, and h represents the total number of environmental parameters; Step S403: Take the characteristic duration, environmental score, and settlement score as the evaluation data group, aggregate the evaluation data groups of all sampling time points, perform function fitting, and establish the predicted settlement score formula as: D = P×Q×N + M; where Q represents the characteristic duration, N represents the weight value of the predicted settlement score, and M represents the deviation value of the predicted settlement score.

6. The settlement monitoring method for geological exploration according to claim 5, wherein, The step S500 includes the following steps: Step S501: Collect the real-time geological condition parameters of the plot, calculate the real-time geological score of the plot, and determine the geological grade of the plot. Step S502: Preset the real-time characteristic duration, obtain the environmental parameters released in the weather forecast within the real-time characteristic duration, calculate the predicted environmental score, input the real-time characteristic duration and the predicted environmental score into the predicted settlement score formula of the geological grade, and calculate the predicted settlement score. Step S503: When the real-time feature duration is reached, calculate the real-time environment score, and calculate the difference between the real-time environment score and the predicted environment score. Set a difference threshold. When the difference does not exceed the difference threshold, calculate the real-time settlement score. If the real-time settlement score is less than or equal to the predicted settlement score, continue to execute Step S502. If the real-time settlement score is greater than the predicted settlement score, issue a warning to notify the staff. When the difference exceeds the difference threshold, execute Step S504; Step S504: Calculate the real-time settlement score, and input the real-time settlement score and the real-time environment score into the predicted settlement score formula of the geological grade to calculate the predicted feature duration. If the predicted feature duration is greater than or equal to the real-time feature duration, continue to execute Step S502. If the predicted feature duration is less than the real-time feature duration, issue a warning to notify the staff.

7. A settlement monitoring system for geological exploration, which is used to implement the settlement monitoring method for geological exploration described in any one of claims 1-6, characterized in that, The system includes a geological grade module, a curve graph module, an environmental parameter influence ranking set module, a predicted settlement score formula module, and a real-time analysis module; The geological grade module: Collect the geological condition parameters of the land plots corresponding to a certain survey area, calculate the geological scores of the land plots, summarize the geological scores of the land plots corresponding to all survey areas, and determine the geological score ranges corresponding to each geological grade; The curve graph module: At a certain geological grade, obtain the historical monitoring records of a certain land plot, collect the settlement parameters of a certain historical monitoring record, calculate the settlement score of the historical monitoring record, collect the environmental parameter change values of the historical monitoring record, calculate the change rate of the environmental parameters, and draw the settlement score curve graph of the land plot and the change rate curve graphs of all environmental parameters; The environmental parameter influence ranking set module: In the settlement score curve graph, calculate the slope change value of the time period to determine the characteristic time period, calculate the slope change value of the change rate curve graph of a certain environmental parameter in a certain characteristic time period, and determine the environmental parameter influence ranking set of a certain geological grade; The predicted settlement score formula module: Set the training period, calculate the geological scores of the training land plots, determine the geological grades of the training land plots, calculate the environmental scores at the sampling time points, and establish a predicted settlement score formula based on the feature duration, environmental score, and settlement score; The real-time analysis module: Collect the real-time geological condition parameters of the land plot, determine the geological grade of the land plot, preset the real-time feature duration, calculate the predicted environmental score, input the real-time feature duration and the predicted environmental score into the predicted settlement score formula of the geological grade to calculate the predicted settlement score, and determine the execution steps according to the predicted settlement score.

8. A settlement monitoring system for geological exploration according to claim 7, characterized in that, The curve graph module includes a calculation data unit and a curve graph drawing unit: The calculation data unit: obtains the historical monitoring records of a certain plot in a certain geological grade, collects the settlement parameters of a certain historical monitoring record, calculates the difference between the settlement parameters of the current historical monitoring record and the previous one to obtain the change value of the settlement parameters, aggregates all the change values of the settlement parameters, performs normalization processing, calculates the settlement score of a certain historical monitoring record, collects the change value of the environmental parameters corresponding to a certain historical monitoring record, and calculates the change rate of the environmental parameters; The curve graph drawing unit: aggregates the settlement scores of the historical monitoring records of a certain plot and the change rates of all environmental parameters, sorts them in chronological order of the historical monitoring records, and respectively draws a settlement score curve graph and a change rate curve graph of all environmental parameters. The settlement score curve graph uses the historical monitoring record as the abscissa and the settlement score as the ordinate. The change rate curve graph of the environmental parameters uses the historical monitoring record as the abscissa and the change rate of the environmental parameters as the ordinate.

9. The settlement monitoring system for geological survey according to claim 7, characterized in that, The environmental parameter influence sorting set module includes a characteristic time period determination unit and an environmental parameter influence sorting set establishment unit: The characteristic time period determination unit: obtains the settlement score curve graph of a certain plot, sets every two adjacent historical monitoring records as a time period, calculates the slope change value of a certain time period in the settlement score curve graph, preset a slope change threshold, compares the slope change value of a certain time period with the slope change threshold, and when it exceeds the slope change threshold, sets the time period as a characteristic time period; The environmental parameter influence sorting set establishment unit: obtains the change rate curve graph of all environmental parameters corresponding to the plot, calculates the slope change value of the change rate curve graph of a certain environmental parameter in a certain characteristic time period, aggregates the slope change values of all characteristic time periods of a certain environmental parameter, calculates the average slope change value, aggregates the average slope change values of each environmental parameter corresponding to all plots in the same geological grade, calculates the characteristic change value, sorts all environmental parameters from high to low according to the characteristic change value to obtain the environmental parameter influence sorting set of the geological grade.

10. A settlement monitoring system for geological exploration according to claim 7, characterized in that, The real-time analysis module includes a predicted settlement score calculation unit and an analysis and adjustment unit: The predicted settlement score calculation unit: collects the real-time geological condition parameters of the plot, calculates the real-time geological score of the plot, determines the geological grade of the plot, preset a real-time characteristic duration, obtains the environmental parameters released in the weather forecast within the real-time characteristic duration, calculates the predicted environmental score, and inputs the real-time characteristic duration and the predicted environmental score into the predicted settlement score formula of the geological grade to calculate the predicted settlement score; The analysis and adjustment unit: When the real-time feature duration is reached, calculate the real-time environment score, and calculate the difference between the real-time environment score and the predicted environment score. Preset a difference threshold. When the difference does not exceed the difference threshold, calculate the real-time settlement score. If the real-time settlement score is less than or equal to the predicted settlement score, continue to execute step S502. If the real-time settlement score is greater than the predicted settlement score, issue a warning to prompt the staff. When the difference exceeds the difference threshold, calculate the real-time settlement score, and input the real-time settlement score and the real-time environment score into the predicted settlement score formula of the geological grade to calculate the predicted feature duration. If the predicted feature duration is greater than or equal to the real-time feature duration, continue to execute step S502. If the predicted feature duration is less than the real-time feature duration, issue a warning to prompt the staff.

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