Water conservancy project construction exploration sampling method and system

Abstract

The invention provides a water conservancy project construction exploration sampling method and system. The temperature of an underground exploration sampling point in a construction site is detected through a temperature sensor; extracting temperature change characteristics of the underground exploration sampling point from all the detected temperatures, determining a plurality of temperature rise subareas according to the temperature change characteristics, and further determining a sudden change temperature corresponding to each temperature rise subarea; performing disturbance evaluation on the temperature change of the underground exploration sampling point based on all the sudden change temperatures to obtain a disturbance quantity; according to all the measured humidity and all the detected temperatures, determining thermal stress generated by the temperature and humidity to the sampled sample; and determining the critical damage degree of the sampled sample according to the thermal stress and the disturbance quantity, and sampling the underground exploration sampling point based on the critical damage degree of the sample. By adopting the scheme, the qualification rate of the sampled samples can be improved in the sampling process, and the accuracy of exploration sampling is further ensured.

Description

Technical Field

[0001] The present application relates to the technical field of construction exploration and sampling based on sensors, and more specifically, to a method and system for construction exploration and sampling of water conservancy projects. Background Art

[0002] Exploration sampling refers to the method of obtaining underground or regional samples through specific technical means and equipment during geological, environmental, construction or other engineering explorations. It is mainly used to obtain samples of underground rocks, soil and groundwater for further analysis and research. During the exploration and sampling of water conservancy project construction, smart sensors can be used to detect physical, chemical, mechanical or biological signals of the surrounding environment and convert them into readable data. Smart sensors can collect data (such as temperature and humidity) in real time, so that the sampling equipment or sampling strategy can be quickly adjusted during the sampling process to cope with complex geological conditions and speed up the exploration and sampling. In the existing exploration and sampling of water conservancy project construction, samples are obtained from the surface or shallow soil by a sampler (such as a soil drill), or static pressure sensors (such as optical fiber pressure sensors) are used to take samples without disturbing the sampling site. However, the above methods do not monitor the environmental changes of the exploration sampling points during the sampling process. When the temperature of the exploration sampling points suddenly changes, the sampled samples will change their original physical or chemical properties during the sampling process, affecting the effectiveness of the sampled samples, thereby reducing the accuracy of the exploration. Therefore, how to improve the qualified rate of the sampled samples during the sampling process and thus ensure the accuracy of the exploration sampling has become a difficult problem faced by the industry. Summary of the invention

[0003] The present application provides a method and system for sampling during water conservancy project construction exploration, which can improve the pass rate of sampled samples during the sampling process, thereby ensuring the accuracy of exploration sampling.

[0004] In a first aspect, the present application provides a method for sampling water conservancy project construction exploration, comprising the following steps: Detect the temperature of underground exploration sampling points in the construction site through temperature sensors; Extracting the temperature variation characteristics of the underground exploration sampling point from all the detected temperatures, determining multiple temperature rise zones when the temperature suddenly changes during the sampling process according to the temperature variation characteristics, and then determining the sudden change temperature corresponding to each temperature rise zone; Based on all the sudden temperature changes, the temperature changes at the underground exploration sampling points are evaluated for disturbance, and the amount of disturbance caused to the sampled samples when the temperature changes suddenly is obtained; The humidity at the underground exploration sampling point is measured by a humidity sensor, and the thermal stress caused by the temperature and humidity on the sampled sample during the underground sampling process is determined based on all the humidity measured and all the temperature detected; The critical damage degree of the sample taken under the temperature mutation is determined according to the disturbance amount and the thermal stress, and the underground exploration sampling point is sampled based on the critical damage degree of the sample.

[0005] In some embodiments, extracting the temperature variation characteristics of the underground exploration sampling point from all the detected temperatures specifically includes: All detected temperatures are decomposed into time-frequency components to obtain multiple temperature time-frequency components; The temperature variation characteristics of underground exploration sampling points are determined based on all temperature time-frequency components.

[0006] In some embodiments, determining multiple temperature rise zones when the temperature suddenly changes during the sampling process according to the temperature change characteristics specifically includes: Determining a modulation cost for tuning the temperature change according to the temperature control cost in the temperature change characteristic; Determining a temperature fluctuation thermal domain according to the modulation cost; Determining multiple decomposition points when the temperature suddenly changes during sampling based on the fluctuating thermal domain; Determine multiple recombinant components when the temperature suddenly changes based on all decomposition points; Multiple temperature rising zones are determined according to all the recombined components when the temperature suddenly changes during the sampling process.

[0007] In some embodiments, determining the mutation temperature corresponding to each temperature rising zone specifically includes: Select a heating zone as the selected heating zone; Determine the temperature change rate of each temperature in the selected temperature ramp zone; The temperature corresponding to the maximum temperature change rate among all temperature change rates is taken as the mutation temperature of the selected temperature rising partition; Continue to determine the mutation temperatures of the remaining temperature-raising zones.

[0008] In some embodiments, the temperature change of underground exploration sampling points is evaluated based on all sudden temperature changes, and the amount of disturbance caused to the sampled sample when the temperature suddenly changes is obtained specifically includes: A mutation temperature is selected as the selected mutation temperature, and all temperatures in the temperature rise partition corresponding to the selected mutation temperature are reconstructed according to the selected mutation temperature to obtain a temperature disturbance sequence; Determine the instantaneous disturbance amount caused by the selected mutation temperature to the sampled sample according to the temperature disturbance sequence; Continue to determine the amount of instantaneous disturbance caused by the remaining sudden change temperature to the sampled sample; The mean of all instantaneous disturbances is taken as the disturbance caused to the sampling sample by the underground exploration sampling point when the temperature suddenly changes.

[0009] In some embodiments, determining the thermal stress caused by the temperature and humidity on the sampled sample during the underground sampling process according to all the measured humidity and all the detected temperature specifically includes: Determine the temperature flux during the sampling process based on all the temperatures detected; Determine multiple humidity gradients during sampling based on all humidity measurements; The thermal stress caused by temperature and humidity on the sample during the sampling process is determined based on the temperature flow and all humidity gradients.

[0010] In some embodiments, determining the critical damage degree of a sample sampled under a temperature mutation according to the disturbance amount and the thermal stress specifically includes: Obtain the yield strength and linear expansion coefficient of the sample; Determining the damage sensitivity of the sampled sample according to the thermal stress, the yield strength and the linear expansion coefficient; Determining the energy accumulation of the sample according to the disturbance amount, the yield strength and the linear expansion coefficient; The critical damage degree of the sample taken under the temperature mutation is determined according to the damage sensitivity and the energy accumulation degree.

[0011] In a second aspect, the present application provides a water conservancy project construction exploration sampling system, comprising: A detection module, used to detect the temperature of underground exploration sampling points in the construction site through a temperature sensor; A processing module, used to extract the temperature variation characteristics of the underground exploration sampling point from all the detected temperatures, determine multiple temperature rise zones when the temperature suddenly changes during the sampling process according to the temperature variation characteristics, and then determine the sudden change temperature corresponding to each temperature rise zone; The processing module is also used to perform disturbance evaluation on the temperature change of underground exploration sampling points based on all sudden changes in temperature, and obtain the amount of disturbance caused to the sampled sample when the temperature suddenly changes; The processing module is also used to measure the humidity at the underground exploration sampling point through a humidity sensor, and determine the thermal stress caused by the temperature and humidity on the sampled sample during the underground sampling process according to all the humidity measured and all the temperature detected; An execution module is used to determine the critical damage degree of the sample taken under the temperature mutation according to the disturbance amount and the thermal stress, and to sample the underground exploration sampling points based on the critical damage degree of the sample.

[0012] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned water conservancy project construction exploration and sampling method.

[0013] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned water conservancy project construction exploration and sampling method is implemented.

[0014] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: In the water conservancy project construction exploration and sampling method and system provided by the present application, first, the temperature of the underground exploration sampling point in the construction site is detected by a temperature sensor; the temperature change characteristics of the underground exploration sampling point are extracted from all the detected temperatures, and a plurality of temperature rise zones when the temperature suddenly changes during the sampling process are determined according to the temperature change characteristics, and then the sudden change temperature corresponding to each temperature rise zone is determined; the temperature change of the underground exploration sampling point is subjected to a disturbance evaluation based on all the sudden change temperatures, and the disturbance amount caused to the sampled sample when the temperature suddenly changes is obtained; the humidity of the underground exploration sampling point is measured by a humidity sensor, and the thermal stress generated by the temperature and humidity on the sampled sample during the underground sampling process is determined according to all the measured humidity and all the detected temperatures; the critical damage degree of the sampled sample under the sudden change in temperature is determined according to the disturbance amount and the thermal stress, and the underground exploration sampling point is sampled based on the critical damage degree of the sample.

[0015] It can be seen that in the process of exploration and sampling for water conservancy project construction, the present application first detects the temperature of the underground exploration sampling point in the construction site through a temperature sensor, and extracts the temperature change characteristics of the underground exploration sampling point from all the detected temperatures. The temperature change characteristics are used to analyze the temperature fluctuation of the underground exploration sampling site, so as to avoid the potential thermal damage or failure risk of the sampled sample when the temperature suddenly changes; secondly, according to the temperature change characteristics, multiple temperature rise zones when the temperature suddenly changes during the sampling process are determined, and then the sudden change temperature corresponding to each temperature rise zone is determined, that is, the temperature value at which the temperature change undergoes a significant turning point, so as to analyze the temperature fluctuation of the underground exploration sampling site, and based on all the sudden change temperatures, the temperature change of the underground exploration sampling point is disturbed and evaluated, and the temperature change is obtained when the temperature suddenly changes. The amount of disturbance caused by the sampling sample is used to analyze the disturbance of the temperature mutation on the sampling sample; the humidity of the underground exploration sampling point is measured by a humidity sensor, and the thermal stress caused by the temperature and humidity on the sampling sample during the underground sampling process is determined based on all the measured humidity and all the detected temperatures; the critical damage degree of the sample under the temperature mutation is determined based on the disturbance amount and the thermal stress. Since the critical damage degree of the sample is the critical temperature at which the sample sample is irreversibly damaged when the external temperature suddenly changes, the critical damage degree of the sample can be used to predict the stability of the sample under the temperature mutation, which is convenient for timely adjustment of the sampling strategy, avoiding the failure and irrationality of the sampled sample, and sampling the underground exploration sampling point based on the critical damage degree of the sample. The above scheme can improve the qualified rate of the sampled samples during the sampling process, thereby ensuring the accuracy of the exploration sampling. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is an exemplary flow chart of a method for exploration and sampling of water conservancy project construction according to some embodiments of the present application; Figure 2 is an exemplary flow chart for determining a disturbance amount according to some embodiments of the present application; Figure 3 is a schematic diagram of the structure of a smart sensor according to some embodiments of the present application; Figure 4 It is a structural schematic diagram of a water conservancy project construction exploration and sampling system according to some embodiments of the present application; Figure 5 It is a structural schematic diagram of a computer device for implementing a method for exploration and sampling in water conservancy project construction according to some embodiments of the present application. DETAILED DESCRIPTION

[0017] In order to better understand the technical solution in the present application, the technical solution in the present application will be described in detail below in conjunction with the accompanying drawings in the specification and specific implementation methods.

[0018] refer to Figure 1 , which is an exemplary flow chart of a water conservancy project construction exploration sampling method according to some embodiments of the present application. The water conservancy project construction exploration sampling method 100 mainly includes the following steps: In step 101, the temperature of an underground exploration sampling point in a construction site is detected by a temperature sensor.

[0019] In a specific implementation, a temperature sensor (such as a semiconductor temperature sensor) is arranged on a sampling device (such as an airtight soil sampler). After the sampling device is started, the temperature of the underground exploration sampling point in the construction site is detected by the temperature sensor, wherein the sampling process at the underground exploration sampling point in the construction site is synchronized with the temperature detection, and all detected temperatures are uploaded to a remote monitoring device through a data transmission device (such as a LoRa wireless transmission module) arranged on the sampling device to monitor the temperature during the sampling process; it should be noted that the temperature detection frequency in the present application is 100 Hz; in other embodiments, other methods can also be used to obtain the temperature, which will not be repeated here.

[0020] In step 102, the temperature variation characteristics of the underground exploration sampling points are extracted from all the detected temperatures, and a plurality of temperature rise zones when the temperature suddenly changes during the sampling process are determined according to the temperature variation characteristics, and then the sudden change temperature corresponding to each temperature rise zone is determined.

[0021] In some embodiments, extracting the temperature variation characteristics of underground exploration sampling points from all detected temperatures can be achieved by using the following steps: All detected temperatures are decomposed into time-frequency components to obtain multiple temperature time-frequency components; The temperature variation characteristics of underground exploration sampling points are determined based on all temperature time-frequency components.

[0022] In specific implementation, all detected temperatures are decomposed into time-frequency components to obtain multiple temperature time-frequency components. The following method can be used to achieve this: all detected temperatures are arranged in ascending order according to the sequence of acquisition time, and the arranged sequence is used as the temperature value sequence. The 4-minute time interval is used as the dividing window, and the dividing window is moved from left to right to divide the temperature value sequence. The overlapping degree of the window during movement is 25%, that is, three-quarters of the window is moved each time, so as to obtain multiple temperature value intervals. For example, the temperature value sequence is (15, 16, 17, 18, 20, 26, 30) and the corresponding acquisition time from left to right (from the start of sampling) is (1min, 2min, 3min, 4min, 5min, 6min, 7min). The 4-minute time interval is used as the dividing window, the overlapping degree of the window is 25%, and the window is moved from left to right. The partition window is moved right to divide the temperature value sequence to obtain temperature value intervals of (15, 16, 17, 18) and (18, 20, 26, 30) respectively; a temperature value interval is selected as the selected temperature value interval, all temperature values ​​in the selected temperature value interval are used as signal parameters, and the time range corresponding to the selected temperature value interval is used as the time parameter. Through analysis technology (such as Fourier transform) combined with the above signal parameters and time parameters, time-frequency analysis is performed to obtain the temperature value frequency corresponding to each temperature value in the selected temperature value interval, and a set of all the obtained temperature value frequencies is used as the temperature time-frequency component of the selected temperature value interval, and the temperature time-frequency components of the remaining temperature value intervals are continued to be determined, wherein the temperature time-frequency component is a component that describes the change of the temperature signal at different times and different frequencies; in other embodiments, other methods can also be used to determine, which is not limited here.

[0023] In specific implementation, the temperature variation characteristics of the underground sampling site can be determined according to all the temperature time-frequency components in the following manner, namely: select a temperature value as the selected temperature value, multiply the selected temperature value by the mean of all temperature values ​​in the temperature value interval where the selected temperature value is located, perform an exponential operation with a natural number as the base on the opposite number of the multiplied value, multiply the value obtained by the exponential operation by the temperature time-frequency component corresponding to the temperature value interval where the selected temperature value is located, and then use the multiplied value as the instantaneous temperature control cost of the selected temperature value, and continue to determine the instantaneous temperature control costs of the remaining temperature values, wherein the instantaneous temperature control cost represents the correction of the instantaneous fluctuation of the temperature. cost required; the set of all instantaneous temperature control costs is used as the temperature control cost of the underground sampling site; the time range corresponding to the temperature value interval is used as the horizontal axis, and the temperature value frequency in the temperature value interval is used as the vertical axis, and an amplitude-time diagram is obtained by combining the above-mentioned horizontal and vertical axes through a data visualization platform (such as Tableau); wherein the amplitude-time diagram is a diagram showing the frequency amplitude of the temperature detected during the sampling process changing with time; the set of amplitudes and peak values ​​corresponding to each moment when the maximum value appears in the temperature control cost and the temperature time-frequency diagram is used as the temperature change characteristic of the underground sampling site; in other embodiments, other methods can also be used to determine, which are not limited here.

[0024] It should be noted that the temperature variation characteristics in this application refer to the regular characteristics of the temperature variation over time at the underground exploration sampling points, including the temperature amplitude, trend and evolution pattern over time, and one amplitude corresponds to one peak value, which is convenient for subsequent analysis of the impact of temperature changes on the performance of sampling samples and prediction of potential risks.

[0025] In some embodiments, determining multiple temperature rise zones when the temperature suddenly changes during the sampling process according to the temperature change characteristics can be achieved by using the following steps: Determining a modulation cost for tuning the temperature change according to the temperature control cost in the temperature change characteristic; Determining a temperature fluctuation thermal domain according to the modulation cost; Determining multiple decomposition points when the temperature suddenly changes during sampling based on the fluctuating thermal domain; Determine multiple recombinant components when the temperature suddenly changes based on all decomposition points; Multiple temperature rising zones are determined according to all the recombined components when the temperature suddenly changes during the sampling process.

[0026] In specific implementation, the modulation cost for tuning the temperature change according to the temperature control cost in the temperature change characteristic can be implemented in the following manner, namely: select a temperature value interval as the selected temperature value interval, select a temperature value from the selected temperature value interval as the selected temperature value, invert the instantaneous temperature control cost corresponding to the selected temperature value in the temperature control cost, perform an exponential operation with a natural number as the base for the value obtained by the inversion operation, and use the value obtained by the exponential operation as the rotation tuning component of the selected temperature value; perform an exponential operation with a natural number as the base for the instantaneous temperature control cost corresponding to the selected temperature value in the temperature control cost, and use the value obtained by the exponential operation as the translation tuning component of the selected temperature value, and continue to determine the rotation tuning component and translation tuning component of the remaining temperature values ​​in the selected temperature value interval, wherein the rotation tuning component is a component for rotationally tuning the frequency characteristic of a single temperature change, and the translation tuning component is a component for rotationally tuning the frequency characteristic of a single temperature change Components of translation tuning; multiplying all the obtained rotation tuning components, and then using the multiplied value as the frequency rotation operator for the selected temperature value interval; multiplying all the obtained translation tuning components, and then using the multiplied value as the frequency translation operator for the selected temperature value interval, and continuing to determine the frequency rotation operator and frequency translation operator for the remaining temperature value intervals, wherein the frequency rotation operator is an operator for rotation tuning the temperature time-frequency component corresponding to the selected temperature value interval, and the frequency translation operator is an operator for translation tuning the temperature time-frequency component corresponding to the selected temperature value interval, and one frequency rotation operator corresponds to one frequency translation operator; using a set of all the obtained frequency translation operators and all the frequency rotation operators as a modulation cost for tuning the temperature change, wherein the modulation cost refers to the cost for adjusting the temperature change characteristics; in other embodiments, other methods can also be used for determination, which are not limited here.

[0027] In specific implementation, the following method can be used to determine the temperature fluctuation thermal domain according to the modulation cost, namely: select a temperature value interval as the selected temperature value interval, multiply the amplitude corresponding to the selected temperature value interval in the temperature change characteristic by the frequency rotation operator corresponding to the selected temperature value interval in the modulation cost, multiply the multiplied value by the frequency translation operator corresponding to the selected temperature value interval in the modulation cost to obtain a first value, perform an exponential operation with a natural number as the base on the selected temperature value, multiply the value obtained by the exponential operation by the first value, and then use the multiplied value as the temperature fluctuation period of the selected temperature value interval, and continue to determine the temperature fluctuation period of the remaining temperature value intervals, wherein the temperature fluctuation period refers to the time from the starting point of a complete fluctuation to the next starting point in the process of periodic change of temperature over time; the set of all the obtained temperature fluctuation periods is used as the temperature fluctuation thermal domain, wherein the fluctuation thermal domain refers to the thermal state range significantly affected by temperature fluctuations within a period; in other embodiments, other methods can also be used for determination, which are not limited here.

[0028] In specific implementation, the following method can be used to determine multiple decomposition points when the temperature suddenly changes during the sampling process based on the fluctuating heat domain, namely: select a temperature value interval as the selected temperature value interval, use the temperature fluctuation period corresponding to the selected temperature value interval in the fluctuating heat domain as the dividing window, divide all temperature values ​​in the selected temperature value interval from left to right, move the dividing window by a window size distance each time, discard all temperature values ​​that do not meet the window movement distance, and obtain multiple temperature fluctuation intervals, continue to determine the temperature fluctuation intervals of the remaining temperature value intervals, and use the set composed of all the divided temperatures as the fluctuating temperature set when the temperature rises instantly during the sampling process of the construction exploration sampling point, and use the set composed of all the times corresponding to all the divided temperatures as the fluctuating time set; A decomposition point model is initialized, the fluctuation time set is used as the constraint parameter of the decomposition point model, the fluctuation temperature set is used as the initialization parameter of the decomposition point model, and then a plurality of decomposition points when the temperature suddenly changes during the sampling process are obtained through the decomposition point model, wherein the decomposition point model is a decomposition point model established using a machine learning algorithm (such as a decision tree, a neural network, etc.), and the model is, for example: decomposition point = fluctuation time set in the instantaneous temperature response * A + fluctuation temperature set in the instantaneous temperature response * B, wherein A and B are weight coefficients, and A and B can be determined according to a large number of decomposition points constituting the temperature sudden change, and the decomposition point is the time point for decomposing the temperature change; in other embodiments, other methods can also be used to determine, which is not limited here.

[0029] In specific implementation, the following method can be used to determine multiple recombinant components when the temperature suddenly changes based on all decomposition points, namely: sort all the decomposition points obtained in ascending order, use the sequence obtained by arrangement as the decomposition point sequence, select a decomposition point from the demarcation point sequence as the selected decomposition point, and use the set consisting of all temperature values ​​whose acquisition time is within the time period composed of the first adjacent node to the left of the selected decomposition point and the selected decomposition point and whose temperature is within the fluctuating temperature set as the recombinant components of the selected decomposition point, and continue to determine the recombinant components of the remaining decomposition points; in other embodiments, other methods can also be used for determination, which are not limited here.

[0030] In specific implementation, the following method can be used to determine multiple temperature rise zones when the temperature suddenly changes during the sampling process based on all the recombinant components, namely: select a recombinant component as the selected recombinant component, and take the set of all temperature values ​​in the selected recombinant component whose temperature values ​​rise and are uninterrupted at the corresponding time point as the temperature rise zone of the selected recombinant component, and continue to determine the temperature rise zones of the remaining recombinant components to obtain multiple temperature rise zones constituting the underground sampling site under construction; in other embodiments, other methods can also be used for determination, which are not limited here.

[0031] It should be noted that the temperature rise zoning in this application refers to dividing the change process into several different areas according to the characteristics of the temperature change (such as rate, trend, amplitude, etc.) during the process of temperature change over time, so as to clearly analyze the law of temperature change and understand the behavioral characteristics of the sampled samples in different temperature ranges.

[0032] In some embodiments, determining the mutation temperature corresponding to each temperature-raising zone may be achieved by using the following steps: Select a heating zone as the selected heating zone; Determine the temperature change rate of each temperature in the selected temperature ramp zone; The temperature corresponding to the maximum temperature change rate among all temperature change rates is taken as the mutation temperature of the selected temperature rising partition; Continue to determine the mutation temperatures of the remaining temperature-raising zones.

[0033] In specific implementation, determining the temperature change rate of each temperature in the selected heating zone can be achieved in the following manner, namely: taking the time corresponding to all temperatures in the selected heating zone as the independent variable, taking all temperatures in the selected heating zone as the dependent variable, and obtaining a fitting curve of temperature and time by combining the above-mentioned independent variable with the above-mentioned dependent variable through a mathematical analysis tool in the prior art (such as MATLAB), and calculating the change rate of each temperature in the above-mentioned fitting curve through a function analysis method of the mathematical analysis tool to obtain the temperature change rate of all temperatures in the selected heating zone; in other embodiments, other methods can also be used for determination, which are not limited here.

[0034] It should be noted that the mutation temperature in this application refers to the temperature value at which the temperature change undergoes a significant turning point during the sampling process. It is used to analyze the temperature fluctuations in underground exploration sampling sites, so as to predict and avoid potential thermal damage or failure risks of the sampled samples when the temperature suddenly changes.

[0035] In step 103, a disturbance assessment is performed on the temperature change of the underground exploration sampling points based on all the sudden temperature changes to obtain the disturbance amount caused to the sampling samples when the temperature suddenly changes.

[0036] In some embodiments, reference Figure 2 As shown, this figure is a schematic diagram of the process of determining the disturbance amount in some embodiments of the present application. In this embodiment, the temperature change of the underground exploration sampling point is evaluated based on all sudden changes in temperature. The disturbance amount caused to the sampled sample when the temperature suddenly changes can be obtained by the following steps: First, in step 1031, a mutation temperature is selected as the selected mutation temperature, and all temperatures in the temperature rise partition corresponding to the selected mutation temperature are reconstructed according to the selected mutation temperature to obtain a temperature disturbance sequence; Secondly, in step 1032, the instantaneous disturbance amount caused by the selected mutation temperature to the sampled sample is determined according to the temperature disturbance sequence; Then, in step 1033, the instantaneous disturbance amount caused by the remaining mutation temperature to the sampled sample is continuously determined; Finally, in step 1034, the average value of all instantaneous disturbance quantities is used as the disturbance quantity caused to the sampling sample by the underground exploration sampling point when the temperature suddenly changes.

[0037] In specific implementation, all temperatures in the heating partition corresponding to the selected mutation temperature are reconstructed according to the selected mutation temperature to obtain a temperature perturbation sequence, which can be implemented in the following manner, namely: initialize a temperature perturbation sequence model, use all temperatures in the heating partition corresponding to the selected mutation temperature as initialization parameters of the temperature perturbation sequence model, use the selected mutation temperature as a constraint parameter of the temperature perturbation sequence model, and then reconstruct the temperature of the heating partition corresponding to the selected mutation temperature through the temperature perturbation sequence model to obtain a temperature perturbation sequence model, wherein the temperature perturbation sequence model is a model of a temperature perturbation sequence established using a machine learning algorithm (such as a decision tree, a neural network, etc.), and the model is, for example: temperature perturbation sequence = selected mutation temperature * A + all temperatures in the heating partition corresponding to the selected mutation temperature * B, wherein A and B are weight coefficients, and A and B can be determined based on a large number of temperature perturbation sequences, and the temperature perturbation sequence refers to a sequence consisting of temperatures that have the strongest perturbation on the sampled sample under temperature mutation conditions; in other embodiments, other methods can also be used to determine, which is not limited here.

[0038] In specific implementation, the instantaneous disturbance amount caused by the selected mutation temperature to the sampled sample according to the temperature disturbance sequence can be achieved in the following manner, namely: select a temperature value from the temperature disturbance sequence as the selected temperature value, subtract the selected temperature value from the mean of all temperature values ​​in the temperature disturbance sequence, divide the square of the value obtained by subtraction by the variance of all temperature values ​​in the temperature disturbance sequence, then multiply the value obtained by division by one-half, perform an exponential operation with a natural number as the base on the opposite number of the multiplied value, perform a logarithmic operation with 10 as the base on the value obtained by the exponential operation, and finally use the value obtained by the logarithmic operation as the instantaneous disturbance amount of the selected temperature value, and continue to determine the instantaneous disturbance amount of the remaining temperature values ​​in the temperature disturbance sequence, wherein the instantaneous disturbance amount is a parameter value that describes the degree of interference with the sampled sample when the temperature changes in a very short time; in other embodiments, other methods can also be used for determination, which are not limited here.

[0039] It should be noted that the disturbance amount in this application refers to the degree of temperature fluctuation at the exploration sampling point during the sampling time relative to the temperature at the stable moment, which is used to indicate the intensity and range of temperature changes, so as to facilitate the subsequent analysis of the damage caused to the sampling samples under temperature mutation.

[0040] In step 104, the humidity at the underground exploration sampling point is measured by a humidity sensor, and the thermal stress caused by the temperature and humidity on the sampled sample during the underground sampling process is determined based on all the measured humidity and all the detected temperatures.

[0041] In practice, a humidity sensor (e.g. Vaisala HMP7) is placed on a sampling device (e.g. an airtight soil sampler), for example, see Figure 3 As described, the figure is a structural schematic diagram of the sensor shown in this embodiment, wherein the humidity sensor is arranged at the sampling inlet of the sampling device; when the sampling device is started, the humidity at the underground exploration sampling point in the construction site is measured by the humidity sensor, wherein the sampling process at the underground exploration sampling point in the construction site is synchronized with the humidity detection, and all the measured humidity is uploaded to the remote monitoring device through the data transmission device (such as the LoRa wireless transmission module) arranged on the adopted device to monitor the humidity during the sampling process; it should be noted that the humidity collection frequency in this application is 100Hz; in other embodiments, other methods can also be used to obtain it, which will not be repeated here.

[0042] In some embodiments, determining the thermal stress caused by temperature and humidity on the sampled sample during the underground sampling process according to all humidity measured and all temperature detected can be achieved by the following steps: Determine the temperature flux during the sampling process based on all the temperatures detected; Determine multiple humidity gradients during the sampling process based on all measured humidity; The thermal stress caused by temperature and humidity on the sample during the sampling process is determined based on the temperature flow and all humidity gradients.

[0043] In specific implementation, the temperature flow in the sampling process can be determined according to all the detected temperatures in the following manner, namely: all the detected temperatures are arranged in ascending order according to the order of the acquisition time, and the sequence obtained by the arrangement is used as the temperature sequence; a temperature is selected from the temperature sequence as the selected temperature, the selected temperature is subtracted from the first temperature adjacent to the selected temperature on the left, and the value obtained by the subtraction is used as the instantaneous temperature difference of the selected temperature, the acquisition time corresponding to the selected temperature is subtracted from the acquisition time corresponding to the first temperature adjacent to the selected temperature on the left, and the value obtained by the subtraction is used as the temperature time difference of the selected temperature, the reciprocal of the temperature time difference of the selected temperature is multiplied by the instantaneous temperature difference of the selected temperature, and the value obtained by the multiplication is used as the instantaneous temperature flow of the selected temperature, and the instantaneous temperature flow of the remaining temperatures in the temperature sequence is continuously determined, and all the instantaneous temperature flow obtained are added, and the value obtained by the addition is used as the temperature flow in the sampling process, wherein the temperature flow is a quantitative description of the flow of temperature changing with time in the construction exploration sampling point; in other embodiments, other methods can also be used to obtain, which will not be repeated here.

[0044] In specific implementation, the following method can be used to determine multiple humidity gradients in the sampling process based on all measured humidity, namely: arrange all measured humidity in ascending order according to the chronological order of collection time, and use the arranged sequence as a humidity value sequence; select a humidity value from the humidity value sequence as the selected humidity value, subtract the selected humidity value from the first humidity value adjacent to the left of the selected humidity value to obtain the first value, subtract the collection time corresponding to the selected humidity value from the collection time corresponding to the first humidity value adjacent to the left of the selected humidity value, multiply the reciprocal of the subtracted value by the first value, and then use the multiplied value as the humidity gradient of the selected humidity value, and continue to determine the humidity gradient of the remaining humidity values ​​in the humidity value sequence, wherein the humidity gradient is a parameter value that describes how the humidity of the construction exploration sampling point changes with time in the sampling space; other methods can also be used in other embodiments, which will not be repeated here.

[0045] In specific implementation, the thermal stress caused by temperature and humidity on the sampled sample during the sampling process is determined based on the temperature flow and all humidity gradients. The following method is used, namely: a humidity gradient is selected as the selected humidity gradient, the selected humidity gradient is multiplied by the temperature flow, the multiplied value is added to the humidity time difference corresponding to the selected humidity gradient, and the added value is used as the thermal stress component of the selected humidity gradient, and the thermal stress components of the remaining humidity gradients are further determined, all the obtained thermal stress components are added, and the added value is used as the thermal stress caused by the temperature and humidity changes during the sampling process. In other embodiments, other methods can also be used for implementation, which will not be repeated here.

[0046] It should be noted that the thermal stress in this application refers to the expansion and contraction of the sampled samples caused by changes in temperature and humidity at the underground exploration sampling point, thereby causing stress generated inside the sampled samples. The thermal stress can be used to monitor the expansion and contraction of the sampled samples when the environment at the underground exploration sampling point changes, and the sampling strategy can be adjusted in time to avoid cracking, deformation or failure of the sampled samples due to excessive thermal stress.

[0047] In step 105, the critical damage degree of the sample taken under the temperature mutation is determined according to the disturbance amount and the thermal stress, and the underground exploration sampling point is sampled based on the critical damage degree of the sample.

[0048] In some embodiments, determining the critical damage degree of a sample sampled under a temperature mutation according to the disturbance amount and the thermal stress can be achieved by using the following steps: Obtain the yield strength and linear expansion coefficient of the sample; Determining the damage sensitivity of the sampled sample according to the thermal stress, the yield strength and the linear expansion coefficient; Determining the energy accumulation of the sample according to the disturbance amount, the yield strength and the linear expansion coefficient; The critical damage degree of the sample under the temperature mutation is determined according to the damage sensitivity and the energy accumulation degree.

[0049] In specific implementation, the damage sensitivity of the sampled sample can be determined according to the thermal stress, the yield strength and the linear expansion coefficient by the following method: obtain the yield strength and the linear expansion coefficient of the sampled sample from the construction engineering material manual, divide the thermal stress by the yield strength, perform a logarithmic operation with a base of 2 on the value obtained by the division, then multiply the value obtained by the logarithmic operation by the linear expansion coefficient, and use the multiplied value as the damage sensitivity of the sampled sample, wherein the loss sensitivity is a parameter value that describes the possibility of damage to the sampled sample under thermal stress; the energy accumulation of the sampled sample can be determined according to the disturbance amount, the yield strength and the linear expansion coefficient by the following method: multiply the yield strength by the linear expansion coefficient The square of the coefficient is multiplied, the reciprocal of the multiplied value is multiplied by 2, and then the reciprocal of the arithmetic square root of the multiplied value is multiplied by the disturbance amount, and finally the multiplied value is used as the energy accumulation of the sample, wherein the energy accumulation is a parameter value that describes the degree to which the sample absorbs and accumulates energy under a temperature mutation; determining the critical damage degree of the sample under a temperature mutation according to the damage sensitivity and the energy accumulation can be achieved in the following manner, namely; performing a logarithmic operation with base 2 on the energy accumulation, adding the value obtained by the logarithmic operation to the loss sensitivity, and using the added value as the critical damage degree of the sample under a temperature mutation; in other embodiments, other methods can also be used, which will not be repeated here.

[0050] It should be noted that the critical damage degree of the sample in the present application refers to the critical temperature at which the sampled sample undergoes irreversible damage when the external temperature suddenly changes. It is used to predict the stability of the sampled sample when the temperature suddenly changes, so as to facilitate timely adjustment of the sampling strategy and avoid failure and irrationality of the sampled sample.

[0051] In some embodiments, sampling of underground exploration sampling points based on the critical damage degree of the sample can be achieved by the following steps: The real-time detection temperature of underground exploration sampling points is obtained through temperature sensors; comparing the real-time detected temperature with the critical damage degree of the sample; If the real-time detection temperature is less than the critical damage degree of the sample, the loss of the sample is small, and the control center controls the sampling device to increase the sampling frequency and collect more samples to improve the accuracy of exploration; If the real-time detection temperature is greater than or equal to the critical damage degree of the sample, irreversible loss occurs to the sample, and the sample is invalid. The control center controls the sampling device to resample the underground exploration sampling point.

[0052] In addition, in another aspect of the present application, in some embodiments, the present application provides a water conservancy project construction exploration sampling system, referring to Figure 4 , which is a schematic diagram of the structure of a water conservancy project construction exploration sampling system according to some embodiments of the present application. The water conservancy project construction exploration sampling system 400 includes: a detection module 401, a processing module 402 and an execution module 403, which are described as follows: Detection module 401, in this application, the detection module 401 is mainly used to detect the temperature of the underground exploration sampling point in the construction site through a temperature sensor; Processing module 402, in the present application, is used to extract the temperature variation characteristics of the underground exploration sampling point from all the detected temperatures, determine multiple temperature rise zones when the temperature suddenly changes during the sampling process according to the temperature variation characteristics, and then determine the sudden change temperature corresponding to each temperature rise zone; It should be noted that the processing module 402 in the present application is also used to perform disturbance assessment on the temperature change of the underground exploration sampling point based on all sudden temperature changes, and obtain the disturbance amount caused to the sampling sample when the temperature suddenly changes; In addition, it should be noted that the processing module 402 in the present application is also used to measure the humidity at the underground exploration sampling point through a humidity sensor, and determine the thermal stress caused by the temperature and humidity on the sampled sample during the underground sampling process according to all the humidity measured and all the temperature detected; Execution module 403, in the present application, execution module 403 is mainly used to determine the critical damage degree of the sample under temperature mutation according to the disturbance amount and the thermal stress, and to sample the underground exploration sampling points based on the critical damage degree of the sample.

[0053] In addition, the present application also provides a computer device, which includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned water conservancy project construction exploration and sampling method.

[0054] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing a method for surveying and sampling water conservancy projects according to some embodiments of the present application. The method for surveying and sampling water conservancy projects in the above embodiments can be performed by Figure 5 The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503 and at least one communication interface 504.

[0055] The processor 501 may be a general-purpose central processing unit (CPU) or an application specific integrated circuit (ASIC).

[0056] The communication bus 502 may be used to transmit information between the above-mentioned components.

[0057] The memory 503 may be a read only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read only memory (EEPROM), a compact disc read only memory (CD ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 503 may exist independently and be connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0058] The memory 503 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The method used in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0059] The communication interface 504 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0060] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-core (single CPU) processor or a multi-core (multi CPU) processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions).

[0061] The above-mentioned computer device may be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer device.

[0062] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned water conservancy project construction exploration and sampling method is implemented.

[0063] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0064] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for exploration and sampling in water conservancy project construction, characterized in that: The steps include: Detect the temperature of underground exploration sampling points in the construction site through temperature sensors; Extracting the temperature variation characteristics of the underground exploration sampling point from all the detected temperatures, determining multiple temperature rise zones when the temperature suddenly changes during the sampling process according to the temperature variation characteristics, and then determining the sudden change temperature corresponding to each temperature rise zone; Based on all the sudden temperature changes, the temperature changes at the underground exploration sampling points are evaluated for disturbance, and the amount of disturbance caused to the sampled samples when the temperature changes suddenly is obtained; The humidity at the underground exploration sampling point is measured by a humidity sensor, and the thermal stress caused by the temperature and humidity on the sampled sample during the underground sampling process is determined based on all the humidity measured and all the temperature detected; The critical damage degree of the sample taken under the temperature mutation is determined according to the disturbance amount and the thermal stress, and the underground exploration sampling point is sampled based on the critical damage degree of the sample.

2. The method according to claim 1, characterized in that The temperature variation characteristics of underground exploration sampling points are extracted from all the detected temperatures, including: All detected temperatures are decomposed into time-frequency components to obtain multiple temperature time-frequency components; The temperature variation characteristics of underground exploration sampling points are determined based on all temperature time-frequency components.

3. The method according to claim 1, characterized in that Determining multiple temperature rise zones when the temperature suddenly changes during the sampling process according to the temperature change characteristics specifically includes: Determining a modulation cost for tuning the temperature change according to the temperature control cost in the temperature change characteristic; Determining a temperature fluctuation thermal domain according to the modulation cost; Determining multiple decomposition points when the temperature suddenly changes during sampling based on the fluctuating thermal domain; Determine multiple recombinant components when the temperature suddenly changes based on all decomposition points; Multiple temperature rising zones are determined according to all the recombined components when the temperature suddenly changes during the sampling process.

4. The method according to claim 1, characterized in that Determining the mutation temperature corresponding to each heating zone specifically includes: Select a heating zone as the selected heating zone; Determine the temperature change rate of each temperature in the selected temperature ramp zone; The temperature corresponding to the maximum temperature change rate among all temperature change rates is taken as the mutation temperature of the selected temperature rising partition; Continue to determine the mutation temperatures of the remaining temperature-raising zones.

5. The method according to claim 1, characterized in that Based on all the sudden temperature changes, the temperature changes at the underground exploration sampling points are evaluated for disturbance, and the disturbance amount caused to the sampling samples when the temperature suddenly changes is obtained, including: A mutation temperature is selected as the selected mutation temperature, and all temperatures in the temperature rise partition corresponding to the selected mutation temperature are reconstructed according to the selected mutation temperature to obtain a temperature disturbance sequence; Determine the instantaneous disturbance amount caused by the selected mutation temperature to the sampled sample according to the temperature disturbance sequence; Continue to determine the amount of instantaneous disturbance caused by the remaining sudden change temperature to the sampled sample; The mean of all instantaneous disturbances is taken as the disturbance caused to the sampling sample by the underground exploration sampling point when the temperature suddenly changes.

6. The method according to claim 1, characterized in that The thermal stress caused by temperature and humidity on the sample during underground sampling is determined based on all humidity measured and all temperature detected, including: Determine the temperature flux during the sampling process based on all the temperatures detected; Determine multiple humidity gradients during sampling based on all humidity measurements; The thermal stress caused by temperature and humidity on the sample during the sampling process is determined based on the temperature flow and all humidity gradients.

7. The method according to claim 1, characterized in that Determining the critical damage degree of the sample taken under the temperature mutation according to the disturbance amount and the thermal stress specifically includes: Obtain the yield strength and linear expansion coefficient of the sample; Determining the damage sensitivity of the sampled sample according to the thermal stress, the yield strength and the linear expansion coefficient; Determining the energy accumulation of the sample according to the disturbance amount, the yield strength and the linear expansion coefficient; The critical damage degree of the sample taken under the temperature mutation is determined according to the damage sensitivity and the energy accumulation degree.

8. A water conservancy project construction exploration sampling system, characterized in that: include: A detection module, used to detect the temperature of underground exploration sampling points in the construction site through a temperature sensor; A processing module, used to extract the temperature variation characteristics of the underground exploration sampling point from all the detected temperatures, determine multiple temperature rise zones when the temperature suddenly changes during the sampling process according to the temperature variation characteristics, and then determine the sudden change temperature corresponding to each temperature rise zone; The processing module is also used to perform disturbance evaluation on the temperature change of underground exploration sampling points based on all sudden changes in temperature, and obtain the amount of disturbance caused to the sampled sample when the temperature suddenly changes; The processing module is also used to measure the humidity at the underground exploration sampling point through a humidity sensor, and determine the thermal stress caused by the temperature and humidity on the sampled sample during the underground sampling process according to all the humidity measured and all the temperature detected; An execution module is used to determine the critical damage degree of the sample taken under the temperature mutation according to the disturbance amount and the thermal stress, and to sample the underground exploration sampling points based on the critical damage degree of the sample.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the water conservancy project construction exploration and sampling method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the water conservancy project construction exploration and sampling method as described in any one of claims 1 to 7 is implemented.

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