A hydrogeological survey method, system, terminal device and storage medium

Abstract

This application relates to the field of underground water supply surveying technology, and particularly to a hydrogeological surveying method, system, terminal equipment, and storage medium. The method includes: if the factor type is a short-term impact, determining whether there are multiple environmental impact parameters corresponding to the short-term impact; if there are multiple environmental impact parameters corresponding to the short-term impact, determining whether there are correlations between the environmental impact parameters; if there are correlations between the environmental impact parameters, obtaining the corresponding correlation-indicating survey data; combining the correlation-indicating survey data and abnormal survey data to generate a corresponding environmental impact factor investigation and verification table; and generating a survey assessment report corresponding to the survey area based on the environmental impact factor investigation and verification table and the survey items. The hydrogeological surveying method, system, terminal equipment, and storage medium provided by this application improve the effectiveness of hydrogeological surveys.

Description

Technical Field

[0001] This application relates to the field of underground water supply survey technology, and in particular to a hydrogeological survey method, system, terminal equipment and storage medium. Background Technology

[0002] Multi-source hydrogeological surveying is an important hydrogeological technique that helps us identify, locate, and estimate the current hydrogeological status and track hydrogeological changes. This provides crucial reference information for water resource development and management. Based on the properties and distribution characteristics of groundwater, as well as hydrogeological conditions such as permeability, seepage rate, and pressure changes, this technique identifies, locates, and estimates the current hydrogeological status and tracks hydrogeological changes. This information provides vital reference for managing water resources and selecting suitable water supply locations.

[0003] Currently, there are many factors affecting groundwater supply exploration, which often requires comprehensive analysis of multi-source data such as hydrogeological drilling, geophysical exploration, and groundwater dynamics. Traditional analysis methods are mostly qualitative and empirical, which are highly arbitrary. At the same time, if changes in hydrogeological conditions are not detected in time, it may lead to inaccurate overall exploration parameters and a lack of effective analysis, thereby reducing the accuracy of selecting suitable water supply locations. Summary of the Invention

[0004] To improve the effectiveness of hydrogeological surveys, this application provides a hydrogeological survey method, system, terminal equipment, and storage medium.

[0005] In a first aspect, this application provides a hydrogeological survey method, comprising the following steps:

[0006] Obtain the survey items corresponding to the survey area;

[0007] Identify the survey items and obtain the corresponding target survey data;

[0008] If the target survey data does not meet the corresponding preset water supply selection criteria, then the corresponding abnormal survey data is obtained;

[0009] If the abnormal survey data has corresponding environmental impact factors, then obtain the factor type corresponding to the environmental impact factors;

[0010] If the factor type is a short-term impact, then determine whether there are multiple environmental impact parameters corresponding to the short-term impact;

[0011] If there are multiple environmental impact parameters corresponding to the short-term impact, then determine whether there is a correlation between the environmental impact parameters;

[0012] If there is a correlation between the environmental impact parameters, then obtain the corresponding correlation-oriented survey data;

[0013] By combining the associated directional survey data and the abnormal survey data, a corresponding environmental impact factor investigation and verification table is generated;

[0014] Based on the environmental impact factor investigation and verification form and the survey items, a survey assessment report corresponding to the survey area is generated.

[0015] By adopting the above technical solution, in order to reduce the occurrence of deviations in target survey data caused by disturbances from current hydrogeological conditions, when the target survey data does not meet the corresponding preset water supply selection criteria, further analysis is conducted to determine whether there are related environmental impact factors in the corresponding abnormal survey data. If so, it indicates that the current abnormal survey data may be abnormal due to environmental influences. If the type of influence factor is short-term, it indicates that the influence factor is only temporary and can be eliminated. To further analyze the correlation between the current environmental impact parameters and the corresponding abnormal survey data, the quantity of environmental impact parameters and the environmental impact data are determined one by one. The correlation between environmental impact parameters and abnormal survey data is analyzed, and corresponding correlation-oriented survey data is generated. An environmental impact factor verification table is then created based on the corresponding abnormal survey data. Finally, a survey assessment report for the survey area is generated based on the corresponding survey items. In cases where the target survey data does not meet the corresponding preset water supply selection standards, a comprehensive analysis is conducted using the abnormal survey data and environmental impact parameters of the survey area to derive an environmental impact factor verification table related to the abnormal survey data. This verification table allows for the investigation and verification of data disturbance factors in the survey area, thereby improving the effectiveness of hydrogeological surveys.

[0016] Optionally, after identifying the survey item and obtaining the corresponding target survey data, the method further includes the following steps:

[0017] If the target survey data meets the corresponding preset water supply selection criteria, then obtain the multivariate correlation analysis relationship between the survey items corresponding to the target survey data;

[0018] Based on the multivariate correlation analysis, the relevant rate of change of the target survey data corresponding to the survey item is obtained;

[0019] If the relevant rate of change exceeds the preset variable threshold, then the corresponding hidden danger survey data is obtained;

[0020] Based on the hazard survey data, a corresponding variable analysis table is generated.

[0021] By adopting the above technical solution, under the condition that the target survey data meets the corresponding preset water supply selection criteria, in order to ensure that the survey data is more representative, the correlation change rate of the current target survey data is judged according to the multivariate correlation analysis relationship between the target survey data to determine whether it exceeds the corresponding normal change standard, i.e., the preset variable threshold. If it exceeds, the corresponding hidden danger survey data is obtained and labeled, thereby deepening the in-depth analysis of the target survey data and improving the hydrogeological survey effect.

[0022] Optionally, generating the corresponding variable analysis table based on the hazard survey data includes the following steps:

[0023] If there are multiple hidden danger survey data, then the correlation between the hidden danger survey data is obtained;

[0024] If the correlation is indirect, then the processing priority corresponding to the hidden danger survey data is set according to the correlation rate of change between the hidden danger survey data, and the correlation rate of change is proportional to the processing priority.

[0025] By adopting the above technical solution, if there are multiple potential hazard survey data, in order to promptly confirm and process the survey data with strong correlation to potential hazards in advance, the processing priority of indirectly related potential hazard survey data is set according to their relevant change rates, thereby improving the efficiency of potential hazard data confirmation and processing.

[0026] Optionally, if there is a correlation between the environmental impact parameters, obtaining the corresponding correlation-oriented survey data includes the following steps:

[0027] If the environmental impact parameters have the aforementioned correlation, then the corresponding target environmental impact parameter is obtained;

[0028] Based on the target environmental impact parameters, generate the corresponding impact parameter percentages;

[0029] By combining the target environmental impact parameters and the proportion of the impact parameters, the corresponding associated directional survey data is generated.

[0030] By adopting the above technical solution, and combining the target environmental impact parameters and the proportion of the impact parameters, corresponding associated directional survey data can be obtained. Thus, through this associated directional survey data, the distribution of the proportion of the impact of multiple target environmental impact parameters on the corresponding survey parameters can be specifically understood, thereby improving the data analysis effect in the hydrogeological survey process.

[0031] Optionally, the step of combining the associated survey data and the abnormal survey data to generate the corresponding environmental impact factor investigation and verification form includes the following steps:

[0032] Based on the associated survey data, match the elimination strategy corresponding to the abnormal survey data;

[0033] By combining the elimination strategy with the survey environment parameters corresponding to the abnormal survey data, the corresponding strategy feasibility is generated;

[0034] If the feasibility of the strategy meets the preset implementation standards, then the corresponding environmental impact factor investigation and verification table is generated by combining the associated directional survey data and the abnormal survey data.

[0035] By adopting the above technical solution, an elimination strategy that meets the corresponding preset implementation standards is selected, and a corresponding environmental impact factor investigation and verification table is generated by combining the associated directional survey data. Through this environmental impact factor investigation and verification table, specific feasible implementation plans for eliminating environmental impact factors can be obtained, thereby improving the analysis effect of the corresponding environmental impact factors in the survey area.

[0036] Optionally, after matching the elimination strategy corresponding to the abnormal survey data based on the associated survey data, the method further includes the following steps:

[0037] If there are multiple elimination strategies, then obtain the historical implementation completion rate of each elimination strategy for the same type of survey area;

[0038] The target elimination strategy that meets the preset elimination reference standard in terms of the historical implementation completion rate is obtained as the elimination strategy.

[0039] By adopting the above technical solution, the elimination strategy that meets the corresponding preset elimination reference standard in the historical implementation of similar survey areas can be selected as the target elimination strategy. This can eliminate worthless elimination schemes to a certain extent, thereby improving the efficiency of obtaining substantial elimination strategies.

[0040] Optionally, generating the survey assessment report corresponding to the survey area based on the environmental impact factor investigation and verification form and the survey items includes the following steps:

[0041] Based on the aforementioned environmental impact factor investigation and verification form, obtain the corresponding updated survey data;

[0042] Replace the corresponding abnormal survey data in the survey item with the updated survey data to generate the corresponding corrected survey data;

[0043] Determine whether the corrected survey data meets the corresponding preset water supply selection criteria, and generate the corresponding judgment result as the survey assessment report for the survey area.

[0044] By adopting the above technical solution, the system re-evaluates whether the generated and corrected survey data meets the preset water supply selection criteria, and then generates the corresponding judgment results. This provides a complete set of analytical closed loops for short-term environmental impact factors in the survey area, thereby improving the hydrogeological survey results.

[0045] Secondly, this application provides a hydrogeological survey system, comprising:

[0046] The first acquisition module is used to acquire the survey items corresponding to the survey area;

[0047] The identification module is used to identify the survey items and obtain the corresponding target survey data;

[0048] If the target survey data does not meet the corresponding preset water supply selection criteria, the second acquisition module is used to acquire the corresponding abnormal survey data.

[0049] The third acquisition module is used to acquire the factor type corresponding to the environmental impact factor if the abnormal survey data has a corresponding environmental impact factor.

[0050] The first judgment module, if the factor type is a short-term impact, is used to determine whether there are multiple environmental impact parameters corresponding to the short-term impact;

[0051] The second judgment module is used to determine whether there is a correlation between the environmental impact parameters if there are multiple environmental impact parameters corresponding to the short-term impact.

[0052] The fourth acquisition module is used to acquire the corresponding associated survey data if there is a correlation between the environmental impact parameters.

[0053] The module is used to combine the associated directional survey data and the abnormal survey data to generate a corresponding environmental impact factor investigation and verification table;

[0054] The generation module is used to generate a survey and assessment report corresponding to the survey area based on the environmental impact factor investigation and verification form and the survey items.

[0055] By adopting the above technical solution, in order to reduce the occurrence of deviations in target survey data caused by disturbances from current hydrogeological conditions, when the target survey data does not meet the corresponding preset water supply selection standards, the second acquisition module further acquires and the first judgment module determines whether there are relevant environmental impact factors in the corresponding abnormal survey data in the target survey data. If they exist, it indicates that the current abnormal survey data may be abnormal due to environmental impacts. If the type of impact factor is short-term, it indicates that the impact factor is only temporary and can be eliminated. In order to further analyze the correlation between the current environmental impact parameters and the corresponding abnormal survey data, the second judgment module judges the environmental impact parameters one by one. The correlation between the number of data points and environmental impact parameters on abnormal survey data is analyzed to generate corresponding correlation-oriented survey data. An environmental impact factor investigation and verification table is then generated by combining the corresponding abnormal survey data with the module. Finally, a survey assessment report for the survey area is generated by combining the corresponding survey items with the generation module. When the target survey data does not meet the corresponding preset water supply selection standards, a comprehensive analysis is performed on the abnormal survey data and the environmental impact parameters of the survey area to derive an environmental impact factor investigation and verification table related to the abnormal survey data. This table allows for the investigation and verification of data disturbance factors in the survey area, thereby improving the effectiveness of hydrogeological surveys.

[0056] Thirdly, this application provides a terminal device, which adopts the following technical solution:

[0057] A terminal device includes a memory and a processor. The memory stores computer instructions that can be executed on the processor. When the processor loads and executes the computer instructions, it employs the aforementioned hydrogeological survey method.

[0058] By adopting the above technical solution, computer instructions are generated from the above-mentioned hydrogeological survey method and stored in the memory, so that they can be loaded and executed by the processor. In this way, terminal equipment can be made based on the memory and the processor, which is convenient to use.

[0059] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0060] A computer-readable storage medium storing computer instructions, wherein when the computer instructions are loaded and executed by a processor, the aforementioned hydrogeological survey method is employed.

[0061] By adopting the above technical solution, a hydrogeological survey method is used to generate computer instructions, which are then stored in a computer-readable storage medium for loading and execution by a processor. The computer-readable storage medium facilitates the reading and storage of the computer instructions.

[0062] In summary, this application includes at least one of the following beneficial technical effects: To reduce the occurrence of deviations in target survey data caused by disturbances from current hydrogeological conditions, when the target survey data does not meet the corresponding preset water supply selection criteria, it further determines whether the corresponding abnormal survey data in the target survey data contains relevant environmental impact factors. If so, it indicates that the current abnormal survey data may be abnormal due to environmental impacts. If the type of impact factor is short-term, it indicates that the impact factor is only temporary and can be eliminated. To further analyze the correlation between the current environmental impact parameters and the corresponding abnormal survey data, the environmental impact parameters are determined one by one. The correlation between the quantity and environmental impact parameters of abnormal survey data is analyzed, and then corresponding correlation-oriented survey data is generated. An environmental impact factor verification table is then created based on the corresponding abnormal survey data. Finally, a survey assessment report for the survey area is generated based on the corresponding survey items. Since the target survey data does not meet the corresponding preset water supply selection standards, a comprehensive analysis is conducted using the abnormal survey data and the environmental impact parameters of the survey area to derive an environmental impact factor verification table related to the abnormal survey data. This environmental impact factor verification table allows for the investigation and verification of data disturbance factors in the survey area, thereby improving the hydrogeological survey results. Attached Figure Description

[0063] Figure 1 This is a flowchart illustrating steps S101 to S109 of a hydrogeological survey method according to this application.

[0064] Figure 2 This is a flowchart illustrating steps S201 to S204 of a hydrogeological survey method according to this application.

[0065] Figure 3 This is a flowchart illustrating steps S301 to S302 in a hydrogeological survey method according to this application.

[0066] Figure 4 This is a flowchart illustrating steps S401 to S403 of a hydrogeological survey method according to this application.

[0067] Figure 5 This is a flowchart illustrating steps S501 to S503 of a hydrogeological survey method according to this application.

[0068] Figure 6This is a flowchart illustrating steps S601 to S602 in a hydrogeological survey method according to this application.

[0069] Figure 7 This is a flowchart illustrating steps S701 to S703 of a hydrogeological survey method according to this application.

[0070] Figure 8 This is a schematic diagram of a hydrogeological survey system according to this application.

[0071] Explanation of reference numerals in the attached figures:

[0072] 1. First acquisition module; 2. Identification module; 3. Second acquisition module; 4. Third acquisition module; 5. First judgment module; 6. Second judgment module; 7. Fourth acquisition module; 8. Combination module; 9. Generation module. Detailed Implementation

[0073] The following is in conjunction with the appendix Figure 1-8 This application will be described in further detail.

[0074] This application discloses a hydrogeological survey method, such as... Figure 1 As shown, it includes the following steps:

[0075] S101. Obtain the survey items corresponding to the survey area;

[0076] S102. Identify survey items and obtain corresponding target survey data;

[0077] S103. If the target survey data does not meet the corresponding preset water supply selection criteria, then obtain the corresponding abnormal survey data;

[0078] S104. If the abnormal survey data has corresponding environmental impact factors, then obtain the factor type corresponding to the environmental impact factors;

[0079] S105. If the factor type is short-term impact, determine whether there are multiple environmental impact parameters corresponding to the short-term impact;

[0080] S106. If there are multiple environmental impact parameters corresponding to short-term impacts, determine whether there are any correlations between the environmental impact parameters.

[0081] S107. If there is a correlation between environmental impact parameters, obtain the corresponding correlation-oriented survey data;

[0082] S108. Combine the associated directional survey data and abnormal survey data to generate a corresponding environmental impact factor investigation and verification form;

[0083] S109. Based on the environmental impact factor investigation and verification form and the survey items, generate a survey assessment report corresponding to the survey area.

[0084] In step S101, the survey area refers to the area surveyed based on multi-source Wenshui geological survey technology. The selection of the survey area also has certain requirements. The selection of the survey area should fully consider the topography, geological structure, groundwater conditions and other important geological factors of the area, and the survey area should be located according to the survey task.

[0085] Secondly, the survey items refer to the survey projects corresponding to multi-source Wenshui geological surveys. Generally, the survey items corresponding to multi-source Wenshui geological surveys include groundwater distribution, topographic features, stratigraphic features, lithological features, geological structure, mineral structure, and potential mineral resources.

[0086] In step S102, the target survey data refers to the survey data corresponding to the survey item, including topographic data, geological data, groundwater data, seismic data, remote sensing data, and field measurement data.

[0087] In practical applications, multi-source hydrogeological survey methods, including factors such as meteorology, topography, soil, surface water, and vegetation, can be used to conduct surveys, thereby improving the accuracy of hydrogeological surveys and accurately identifying suitable water supply locations.

[0088] For example, in meteorology, meteorological data such as temperature, rainfall, and wind direction can be collected; in topography, topographic elevation data can be collected; in soil, data such as soil texture and permeability can be collected; in surface water, data such as water quality, quantity, and flow velocity of rivers, lakes, and swamps can be collected; and in vegetation, vegetation data such as tree species, density, and leaf area can be collected.

[0089] Meteorological data can help us understand the climate conditions of a hydrogeological region; topographic data can help us understand topographic elevation and water catchment systems; soil data can help us understand soil permeability; surface water data can help us understand the water quality, quantity, and flow velocity of water bodies; and vegetation data can help us understand the vegetation conditions, such as tree species, density, and leaf area.

[0090] In step S103, the preset water supply selection criteria pre-set suitable water supply location selection standards, which include various data indicators that the survey data must meet. By analyzing the survey data and comparing it with the corresponding preset water supply selection standards, it can be determined whether the current survey area meets the conditions for water supply location selection. If it does not meet the conditions, the corresponding abnormal survey data is obtained. In addition, attention should also be paid to factors such as topography, geological structure, and groundwater depth, as well as a reasonable assessment of the groundwater's conservation capacity.

[0091] For example, the selection of a suitable water supply location should take into account the availability of groundwater, which can be obtained by analyzing the groundwater data in the survey data. If the groundwater data obtained from the survey does not meet the corresponding selection criteria, the groundwater data will be marked as abnormal survey data.

[0092] For example, if the target survey data meets the corresponding preset water supply selection criteria, the corresponding target survey data will be acquired in real time and included in the corresponding survey item display list.

[0093] In steps S104 and S105, environmental impact factors refer to factors that may affect the survey data due to the environment of the survey area. Generally, survey data is affected by environmental factors such as climate, geological structure, topography, and changes in groundwater levels. Furthermore, human factors such as construction can also affect the accuracy of the survey data.

[0094] If abnormal survey data contains corresponding environmental impact factors, then to further analyze the specific types of these impact factors, the corresponding factor types can be obtained. In this scheme, factor types are divided into short-term remedial factors (i.e., short-term impacts) and long-term non-remedial factors. Short-term remedial factors include human factors such as construction, labor, and energy, and technical factors such as the accuracy of measuring equipment, data analysis methods, and temporary climatic factors. Long-term non-remedial factors include natural factors such as climate, geological structure, topography, and groundwater level changes.

[0095] Secondly, the existence of short-term impacts may lead to deviations in the target survey data, thus failing to meet the conditions stipulated in the pre-set water supply selection standards. However, these deviations can be mitigated through certain methods. For example, short-term remediable environmental factors can be eliminated by adopting the latest measurement technologies, equipment, and data analysis methods, as well as by regularly monitoring relevant environmental factors. Furthermore, the impact of human factors on survey data can be reduced by improving work processes and optimizing labor allocation. To accurately identify the specific types of short-term impact factors, it is necessary to determine whether there are multiple environmental impact parameters for the current short-term impacts, i.e., whether multiple types of short-term impact factors exist simultaneously.

[0096] Furthermore, if the abnormal survey data does not correspond to any environmental impact factors, the abnormal survey data will be included in the abnormal survey database, and the specific abnormal survey data in the database will be retrieved according to the actual needs of the staff. Simultaneously, if the abnormal survey data does correspond to any environmental impact factors, and these environmental impact factors are long-term, these environmental impact factors will be collected into the abnormal factor database, and the specific environmental impact factors in the database will be retrieved according to the actual needs of the staff.

[0097] In step S106, if there are multiple environmental impact parameters corresponding to the short-term impact, it indicates that there are multiple influencing factors corresponding to the current short-term impact, such as the simultaneous presence of human factors and technical factors. To further analyze the influencing factors in greater depth, it is determined whether there are correlational effects between the current environmental impact parameters. Correlational effects refer to whether there is a correlational relationship between environmental impact parameters, i.e., influencing factors. For example, human factors can affect labor allocation, which in turn can affect the accuracy of measuring equipment, thereby affecting the accuracy of survey data.

[0098] Furthermore, if the environmental impact parameter corresponding to the short-term impact is a single parameter, then the corresponding abnormal survey data can be obtained directly based on that environmental impact parameter, and the two can be compared and analyzed.

[0099] In step S107, if there is a correlation between environmental impact parameters, in order to conduct an in-depth analysis of their influence direction, the correlation direction survey data of the influence objects of multiple environmental impact parameters are obtained. The correlation direction survey data can be the interference survey data of the final influence direction of the environmental impact parameters.

[0100] It should be noted that the environmental impact parameters mentioned in this plan include, but are not limited to, multiple environmental impact parameters jointly affecting multiple or the same survey data, as well as environmental impact parameters indirectly affecting multiple or the same survey data. For example, temporary climatic factors can affect groundwater level changes, which in turn affect groundwater availability and accessibility. In this case, the associated survey data is groundwater disturbance data. Through this groundwater disturbance data, the actual degree of disturbance of temporary climatic factors on groundwater data can be obtained, and this degree can be quantified by corresponding parameters.

[0101] Furthermore, if there is no correlation between environmental impact parameters, each environmental impact parameter should be included in the list of short-term influencing factors for staff to refer to and analyze.

[0102] In step S108, an environmental impact factor investigation and verification table is generated by combining the aforementioned correlated directional survey data and its corresponding abnormal survey data. The abnormal survey data reveals the portions that do not meet the preset water supply selection criteria. These abnormal portions correspond to the aforementioned correlated directional survey data. It should be noted that the abnormal portions and correlated directional survey data must belong to the same survey data type for comparative analysis. This environmental impact factor investigation and verification table allows for comparative analysis of the differences between the abnormal portions of the abnormal survey data and the correlated directional survey data that actually affect the target survey data, thus enabling focused analysis of the interference with the abnormal survey data.

[0103] For example, the environmental impact parameter corresponding to the associated survey data is surface temperature. Changes in surface temperature may affect the shrinkage rate of rocks, thus affecting the accuracy of lithology and porosity. The target survey data affected by this impact are lithology and porosity. According to the preset water supply selection criteria corresponding to lithology and porosity, rock porosity greater than 10% and water retention time less than 2 hours are required to meet the selection conditions for suitable water supply locations. Due to the influence of surface temperature, the corresponding rock porosity data in the lithology and porosity data shows a deviation, i.e., a rock porosity deviation of -2%, which is the associated survey data. The actual measured rock porosity is 11%, which is the target survey data, but the displayed rock porosity is 9%, which is abnormal survey data. This causes the lithology and porosity data to not meet the corresponding preset water supply selection criteria.

[0104] Furthermore, by combining the aforementioned related survey data and abnormal survey data, a corresponding environmental impact factor investigation and verification table is generated. Through this environmental impact factor investigation and verification table, the actual value of the target survey data and the affected value can be obtained.

[0105] In step S109, based on the environmental impact factor investigation and verification form and the survey items, a survey assessment report corresponding to the survey area is generated. Through this survey assessment report, the measurement status of each survey item and its corresponding target survey data can be fully obtained. At the same time, when abnormal survey data appears in a survey item, the impact distribution relationship between it and its corresponding environmental impact parameters can be obtained.

[0106] The hydrogeological survey method provided in this embodiment aims to reduce the occurrence of deviations in target survey data caused by disturbances from current hydrogeological conditions. When the target survey data does not meet the corresponding preset water supply selection criteria, it further determines whether the corresponding abnormal survey data in the target survey data contains relevant environmental impact factors. If so, it indicates that the current abnormal survey data may be abnormal due to environmental influences. If the type of influencing factor is short-term, it indicates that the influencing factor is only temporary and can be eliminated. To further analyze the correlation between current environmental impact parameters and corresponding abnormal survey data, the quantity of environmental impact parameters is determined one by one. The correlation between environmental impact parameters and abnormal survey data is analyzed, and corresponding correlation-oriented survey data is generated. An environmental impact factor verification table is then created based on the corresponding abnormal survey data. Finally, a survey assessment report for the survey area is generated based on the corresponding survey items. Since the target survey data does not meet the corresponding preset water supply selection standards, a comprehensive analysis is conducted using the abnormal survey data and environmental impact parameters of the survey area to derive an environmental impact factor verification table related to the abnormal survey data. This verification table allows for the investigation and verification of data disturbance factors in the survey area, thereby improving the hydrogeological survey results.

[0107] In one embodiment of this example, such as Figure 2 As shown, after step S102, which involves identifying the survey item and obtaining the corresponding target survey data, the following steps are also included:

[0108] S201. If the target survey data meets the corresponding preset water supply selection criteria, then obtain the multivariate correlation analysis relationship between the corresponding survey items of the target survey data;

[0109] S202. Based on the multivariate correlation analysis, obtain the correlation rate of change of the target survey data corresponding to the survey item;

[0110] S203. If the relevant rate of change exceeds the preset variable threshold, then obtain the corresponding hidden danger survey data;

[0111] S204. Generate a corresponding variable analysis table based on the hazard survey data.

[0112] In step S201, the multivariate correlation analysis relationship refers to the correlation or causal relationship between a set of multiple variables, namely the target survey data, under the influence of these variables. Through this analysis relationship, the influence of one variable on another variable and the effectiveness of the model can be explored.

[0113] For example, target survey data includes stratigraphic structure and tectonic features, groundwater level and water quality, soil stratification and water content, and groundwater permeability coefficient. Among these, stratigraphic structure data and tectonic features may affect groundwater level and water quality, while soil stratification and water content may affect groundwater permeability coefficient.

[0114] In step S202, to ensure the authenticity and reliability of the target survey data, the correlation rate of change of the target survey data corresponding to the survey items is obtained based on multivariate correlation analysis. The correlation rate of change refers to the specific quantitative value of the influence between the target survey data. For example, changes in rainfall will affect rock pressure, thereby causing errors in lithology and porosity. The specific range of change is between 0.1% and 2.5%, which is the correlation rate of change.

[0115] In steps S203 to S204, the preset variable threshold refers to the threshold value of the change of the variable affecting the target survey data. If the relevant change rate exceeds the corresponding preset variable threshold, it indicates that the influence between the current target survey data is relatively large, and then the target survey data is acquired and labeled as hidden danger survey data.

[0116] For example, if the target survey data are rainfall and rock pressure, and the corresponding preset variable threshold is 0.1%-2.5%, then the correlation rate between the two is 3.6. It can be determined that the correlation rate between rainfall and rock pressure does not meet the corresponding preset water supply selection standard, and then rainfall and rock pressure are labeled as hidden danger survey data.

[0117] Furthermore, based on the hazard survey data obtained above, a corresponding variable analysis table is generated. This variable analysis table can be used to obtain detailed information on the specific correlations between the hazard survey data.

[0118] The hydrogeological survey method provided in this embodiment, under the condition that the target survey data meets the corresponding preset water supply selection criteria, in order to ensure that the survey data is more representative, determines whether the correlation rate of change of the current target survey data exceeds the corresponding normal change standard, i.e., the preset variable threshold, based on the multivariate correlation analysis relationship between the target survey data. If it exceeds the threshold, the corresponding hidden danger survey data is acquired and labeled, thereby deepening the in-depth analysis of the target survey data and improving the hydrogeological survey effect.

[0119] In one embodiment of this example, such as Figure 3 As shown, step S204, which generates the corresponding variable analysis table based on the hazard survey data, includes the following steps:

[0120] S301. If there are multiple hazard survey data, obtain the correlation between the hazard survey data;

[0121] S302. If the correlation is indirect, the processing priority of the hidden danger survey data shall be set according to the correlation rate of change between the hidden danger survey data, and the correlation rate of change shall be proportional to the processing priority.

[0122] In step S301, if there are multiple hidden danger survey data, it indicates that the current target survey data has significant variability. In order to conduct in-depth analysis, the correlation between the above hidden danger survey data is obtained. The correlation refers to the actual impact range between the hidden danger survey data.

[0123] In step S302, both direct and indirect effects between target survey data may harm water quality, water quantity, and the safety of water sources. However, the harm caused by indirect effects is greater because it may lead to a series of chain reactions, thereby bringing greater risks.

[0124] If the correlation is indirect, the processing priority of the hazard survey data is set according to the correlation rate of change between the hazard survey data. The correlation rate of change is directly proportional to the processing priority. That is, the higher the correlation rate of change between the hazard survey data, the higher the processing priority. This processing priority can be regarded as the acquisition and analysis of hazard survey data and related safety processing.

[0125] The hydrogeological survey method provided in this embodiment, if there are multiple potential hazard survey data, then in order to promptly confirm and process the survey data with strong correlation to potential hazards in advance, sets the corresponding processing priority for indirectly related potential hazard survey data according to their relevant change rates, thereby improving the efficiency of confirming and processing potential hazard data.

[0126] In one embodiment of this example, such as Figure 4 As shown, step S107, which involves obtaining the corresponding correlation-oriented survey data if there is a correlation between environmental impact parameters, includes the following steps:

[0127] S401. If there is a correlation between environmental impact parameters, then obtain the corresponding target environmental impact parameters;

[0128] S402. Generate the corresponding percentage of impact parameters based on the target environmental impact parameters;

[0129] S403. Combine the target environmental impact parameters and their proportions to generate corresponding associated directional survey data.

[0130] In steps S401 to S402, the target environmental impact parameter refers to the quantitative degree of the impact of the environmental impact parameter on the abnormal survey data. In order to clearly analyze the influence relationship between the environmental impact parameter and its corresponding abnormal survey parameter, the corresponding impact parameter ratio is generated based on the target environmental impact parameter. The impact parameter ratio refers to the proportion of the degree of influence of each environmental impact parameter on the abnormal survey data.

[0131] For example, environmental impact parameters include changes in surface temperature and rainfall. Changes in surface temperature may affect the shrinkage rate of rocks, thus affecting the accuracy of lithology and porosity. Changes in rainfall may also affect rock pressure, leading to errors in lithology and porosity. The percentage of the influence of changes in surface temperature and rainfall on lithology and porosity is then determined.

[0132] In step S403, the target environmental impact parameters and their corresponding proportions are further combined to generate associated directional survey data of the target environmental impact parameters and the corresponding abnormal survey data. Through this associated directional survey data, the degree of influence of each target environmental impact parameter on the abnormal survey data can be clearly obtained.

[0133] The hydrogeological survey method provided in this embodiment combines the target environmental impact parameters and their proportions to obtain corresponding correlated directional survey data. This correlated directional survey data allows for a detailed understanding of the distribution of the proportions of multiple target environmental impact parameters on the corresponding survey parameters, thereby improving the data analysis effect in the hydrogeological survey process.

[0134] In one embodiment of this example, such as Figure 5 As shown, step S108, which combines the associated directional survey data and abnormal survey data to generate the corresponding environmental impact factor investigation and verification table, includes the following steps:

[0135] S501. Match the elimination strategy corresponding to the abnormal survey data based on the associated survey data;

[0136] S502. Combine the elimination strategy and the corresponding survey environment parameters of the abnormal survey data to generate the corresponding strategy feasibility;

[0137] S503. If the feasibility of the strategy meets the preset implementation standards, then generate a corresponding environmental impact factor investigation and verification form by combining the associated directional survey data and abnormal survey data.

[0138] In step S501, the elimination strategy refers to the relevant strategies for eliminating short-term impacts. The elimination strategies mentioned in this plan include, but are not limited to, strengthening water resource monitoring, implementing effective water resource protection measures, improving the ecological environment around water sources, scientifically assessing environmental impact factors around water sources, and establishing a sound water conservancy construction and management system.

[0139] In step S502, the survey environmental parameters refer to the environmental condition parameters corresponding to the current survey area. The corresponding elimination strategy can be determined based on the actual situation of the survey environmental parameters in the current survey area. Combined with the feasibility of the project implementation, the corresponding strategy feasibility is generated. The strategy feasibility refers to the feasibility of the currently confirmed elimination strategy, that is, the possibility of implementing this plan or strategy according to the predetermined time, resources and cost conditions. It is a key factor in measuring the success of the implementation of a plan, plan or strategy, including the time, resources and costs required to implement the plan or strategy.

[0140] In step S503, the preset implementation standard refers to the standard that the feasibility of the elimination strategy must meet. If the feasibility of the strategy meets the preset implementation standard, it means that the possibility of the current elimination strategy meets the relevant standard. Then, the corresponding environmental impact factor investigation and verification table is generated by combining the associated survey data and abnormal survey data. Through this environmental impact factor investigation and verification table, the abnormal environmental impact factors pointed to by the current abnormal survey data and many feasible elimination strategies to eliminate the factors can be obtained, so that the staff can fully analyze and select them.

[0141] The hydrogeological survey method provided in this embodiment selects elimination strategies that meet the corresponding preset implementation standards and generates a corresponding environmental impact factor investigation and verification table by combining the associated survey data. Through this environmental impact factor investigation and verification table, specific feasible implementation plans for eliminating environmental impact factors can be obtained, thereby improving the analysis effect of corresponding environmental impact factors in the survey area.

[0142] In one embodiment of this example, such as Figure 6 As shown, after step S501, which involves matching the elimination strategy corresponding to the abnormal survey data based on the associated survey data, the following steps are also included:

[0143] S601. If there are multiple elimination strategies, obtain the historical implementation completion rate of each elimination strategy for the same type of survey area;

[0144] S602. Obtain the target elimination strategy whose historical implementation completion rate meets the preset elimination reference standard as the elimination strategy.

[0145] In step S601, if there are multiple elimination strategies, in order to select a better elimination strategy, the historical implementation completion rate of each elimination strategy for the same type of survey area is obtained. The historical implementation completion rate shows the implementation completion rate of each elimination strategy in the history of processing survey areas or areas of the same type as the survey areas. The historical implementation completion rate can represent the success rate of the elimination strategy in successfully eliminating short-term impacts.

[0146] In step S602, in order to eliminate less feasible elimination schemes among the many elimination strategies and improve the efficiency of obtaining high-quality elimination strategies, the target elimination strategy that meets the preset elimination reference standard in terms of historical implementation completion is directly obtained as the elimination strategy. The preset elimination reference standard refers to the minimum standard of historical implementation completion corresponding to the elimination strategy set in advance.

[0147] The hydrogeological survey method provided in this embodiment selects elimination strategies that meet the corresponding preset elimination reference standards in the historical implementation completion rate of similar survey areas as the target elimination strategy. This can eliminate worthless elimination schemes to a certain extent, thereby improving the efficiency of obtaining substantial elimination strategies.

[0148] In one embodiment of the example, such as Figure 7 As shown, step S109, which involves generating a survey assessment report for the surveyed area based on the environmental impact factor investigation and verification form and the survey items, includes the following steps:

[0149] S701. Obtain the corresponding updated survey data based on the Environmental Impact Factor Investigation and Verification Form;

[0150] S702. Replace the corresponding abnormal survey data in the survey item with the updated survey data, and generate the corresponding corrected survey data;

[0151] S703. Determine whether the corrected survey data meets the corresponding preset water supply selection criteria, and generate the corresponding judgment result as the survey assessment report for the survey area.

[0152] In steps S701 to S702, updating the survey data means that after the elimination strategy is implemented, the target survey data displayed for each survey item is updated. In order to compare and analyze the abnormal survey data before and after the elimination strategy is implemented, the abnormal survey data in the survey item is replaced with the updated survey data to generate the corresponding corrected survey data.

[0153] In step S703, it is determined whether the corrected survey data meets the corresponding preset water supply selection criteria. The number of times the above judgment is made can be repeated cyclically, and the correction of abnormal survey data can also be done sequentially. Then, the corresponding judgment result is generated as the survey assessment report corresponding to the survey area. Through this survey assessment report, it is possible to obtain whether there is a short-term impact on the current survey area, the actual impact of the short-term impact on the target survey data, the success rate of eliminating the short-term impact, and, in combination with the above data, whether the current survey area is worth continuing to consider.

[0154] The hydrogeological survey method provided in this embodiment re-evaluates whether the generated and corrected survey data meets the preset water supply selection criteria, and then generates the corresponding judgment results. This provides a complete set of analytical closed loops for short-term environmental impact factors in the survey area, thereby improving the hydrogeological survey effect.

[0155] This application discloses a hydrogeological survey system, such as... Figure 8 As shown, it includes:

[0156] The first acquisition module 1 is used to acquire the survey items corresponding to the survey area;

[0157] Identification module 2 is used to identify survey items and obtain corresponding target survey data;

[0158] If the target survey data does not meet the corresponding preset water supply selection criteria, the second acquisition module 3 is used to acquire the corresponding abnormal survey data.

[0159] The third acquisition module 4 is used to acquire the factor type corresponding to the abnormal survey data if there are corresponding environmental impact factors.

[0160] First judgment module 5: If the factor type is short-term impact, then the first judgment module 5 is used to determine whether there are multiple environmental impact parameters corresponding to the short-term impact.

[0161] If there are multiple environmental impact parameters corresponding to the short-term impact, the second judgment module 6 is used to determine whether there is a correlation between the environmental impact parameters.

[0162] The fourth acquisition module 7 is used to acquire the corresponding associated survey data if there is a correlation between environmental impact parameters.

[0163] Module 8 is used to combine associated and abnormal survey data to generate a corresponding environmental impact factor investigation and verification form.

[0164] Module 9 is used to generate a survey and assessment report for the survey area based on the environmental impact factor investigation and verification form and survey items.

[0165] By adopting the above technical solution, in order to reduce the occurrence of deviations in target survey data caused by disturbances from current hydrogeological conditions, when the target survey data does not meet the corresponding preset water supply selection standards, the second acquisition module 3 acquires the data and the first judgment module 5 judges whether there are relevant environmental impact factors in the corresponding abnormal survey data in the target survey data. If they exist, it indicates that the current abnormal survey data may be abnormal due to environmental impact. If the type of impact factor is short-term, it indicates that the impact factor is only temporary and can be eliminated. In order to further analyze the correlation between the current environmental impact parameters and the corresponding abnormal survey data, the second judgment module 6 judges the environmental impact parameters one by one. The correlation between the number of data points and environmental impact parameters on abnormal survey data is analyzed to generate corresponding correlation-oriented survey data. Then, module 8 is used to generate an environmental impact factor investigation and verification table based on the corresponding abnormal survey data. Finally, module 9 generates a survey assessment report for the survey area based on the corresponding survey items. Since the target survey data does not meet the corresponding preset water supply selection standards, a comprehensive analysis is conducted using the abnormal survey data and environmental impact parameters of the survey area to derive an environmental impact factor investigation and verification table related to the abnormal survey data. This table allows for the investigation and verification of data disturbance factors in the survey area, thereby improving the hydrogeological survey results.

[0166] It should be noted that the hydrogeological survey system provided in this application embodiment also includes each module and / or corresponding sub-module corresponding to the logical function or logical step of any of the above-mentioned hydrogeological survey methods, to achieve the same effect as each logical function or logical step, which will not be elaborated here.

[0167] This application also discloses a terminal device, including a memory, a processor, and computer instructions stored in the memory and capable of running on the processor, wherein the processor executes the computer instructions using any of the hydrogeological survey methods described in the above embodiments.

[0168] The terminal device can be a computer device such as a desktop computer, a laptop computer, or a cloud server. The terminal device includes, but is not limited to, a processor and a memory. For example, the terminal device may also include input / output devices, network access devices, and buses.

[0169] The processor can be a central processing unit (CPU). Of course, depending on the actual use, it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc., and this application does not limit it.

[0170] The memory can be an internal storage unit of the terminal device, such as a hard disk or RAM of the terminal device, or an external storage device of the terminal device, such as a plug-in hard disk, smart memory card (SMC), secure digital card (SD), or flash memory card (FC) equipped on the terminal device. Furthermore, the memory can be a combination of internal storage units and external storage devices of the terminal device. The memory is used to store computer instructions and other instructions and data required by the terminal device. The memory can also be used to temporarily store data that has been output or will be output. This application does not limit this.

[0171] In this terminal device, any one of the hydrogeological survey methods in the above embodiments can be stored in the memory of the terminal device and loaded and executed on the processor of the terminal device for convenient use.

[0172] This application also discloses a computer-readable storage medium, which stores computer instructions, wherein when the computer instructions are executed by a processor, any one of the hydrogeological survey methods described in the above embodiments is employed.

[0173] The computer instructions can be stored in a computer-readable medium. The computer instructions include computer instruction code, which can be in the form of source code, object code, executable file, or certain middleware. The computer-readable medium includes any entity or device capable of carrying computer instruction code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the computer-readable medium includes, but is not limited to, the above-mentioned components.

[0174] In this embodiment, any one of the hydrogeological survey methods described above can be stored in the computer-readable storage medium and loaded and executed on the processor to facilitate the storage and application of the above methods.

[0175] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A method of hydrogeological surveying, characterized in that, Includes the following steps: Obtain the survey items corresponding to the survey area; Identify the survey items and obtain the corresponding target survey data; If the target survey data does not meet the corresponding preset water supply selection criteria, then the corresponding abnormal survey data is obtained; If the abnormal survey data has corresponding environmental impact factors, then obtain the factor type corresponding to the environmental impact factors; If the factor type is a short-term impact, then determine whether there are multiple environmental impact parameters corresponding to the short-term impact; If there are multiple environmental impact parameters corresponding to the short-term impact, then determine whether there is a correlation between the environmental impact parameters; If there is a correlation between the environmental impact parameters, then obtain the corresponding correlation-oriented survey data; By combining the associated directional survey data and the abnormal survey data, a corresponding environmental impact factor investigation and verification table is generated; Based on the environmental impact factor investigation and verification form and the survey items, generate a survey assessment report corresponding to the survey area; If there is a correlation between the environmental impact parameters, obtaining the corresponding correlation-oriented survey data includes the following steps: If the environmental impact parameters have the aforementioned correlation, then the corresponding target environmental impact parameter is obtained; Based on the target environmental impact parameters, generate the corresponding impact parameter percentages; By combining the target environmental impact parameters and the proportion of the impact parameters, the corresponding associated directional survey data is generated; The process of generating a corresponding environmental impact factor investigation and verification form by combining the associated directional survey data and the abnormal survey data includes the following steps: Based on the associated survey data, match the elimination strategy corresponding to the abnormal survey data; By combining the elimination strategy with the survey environment parameters corresponding to the abnormal survey data, the corresponding strategy feasibility is generated; If the feasibility of the strategy meets the preset implementation standards, then the corresponding environmental impact factor investigation and verification table is generated by combining the associated directional survey data and the abnormal survey data.

2. The hydrogeological survey method according to claim 1, characterized in that, After identifying the survey item and obtaining the corresponding target survey data, the method further includes the following steps: If the target survey data meets the corresponding preset water supply selection criteria, then obtain the multivariate correlation analysis relationship between the target survey data and the survey items; Based on the multivariate correlation analysis, the relevant rate of change of the target survey data corresponding to the survey item is obtained; If the relevant rate of change exceeds the preset variable threshold, then the corresponding hidden danger survey data is obtained; Based on the hazard survey data, a corresponding variable analysis table is generated.

3. The hydrogeological survey method according to claim 2, characterized in that, The process of generating a corresponding variable analysis table based on the hazard survey data includes the following steps: If there are multiple hidden danger survey data, then the correlation between the hidden danger survey data is obtained; If the correlation is indirect, then the processing priority corresponding to the hidden danger survey data is set according to the correlation rate of change between the hidden danger survey data, and the correlation rate of change is proportional to the processing priority.

4. The hydrogeological survey method according to claim 1, characterized in that, After matching the elimination strategy corresponding to the abnormal survey data based on the associated survey data, the method further includes the following steps: If there are multiple elimination strategies, then obtain the historical implementation completion rate of each elimination strategy for the same type of survey area; The target elimination strategy that meets the preset elimination reference standard in terms of the historical implementation completion rate is obtained as the elimination strategy.

5. The hydrogeological survey method according to claim 1, characterized in that, The process of generating a survey assessment report for the surveyed area based on the environmental impact factor investigation and verification form and the survey items includes the following steps: Based on the aforementioned environmental impact factor investigation and verification form, obtain the corresponding updated survey data; Replace the corresponding abnormal survey data in the survey item with the updated survey data to generate the corresponding corrected survey data; Determine whether the corrected survey data meets the corresponding preset water supply selection criteria, and generate the corresponding judgment result as the survey assessment report for the survey area.

6. A hydrogeological survey system implementing the method as described in any one of claims 1-5, characterized in that, include: The first acquisition module (1) is used to acquire the survey items corresponding to the survey area; The identification module (2) is used to identify the survey item and obtain the corresponding target survey data; If the target survey data does not meet the corresponding preset water supply selection standard, the second acquisition module (3) is used to acquire the corresponding abnormal survey data. If the abnormal survey data has a corresponding environmental impact factor, the third acquisition module (4) is used to acquire the factor type corresponding to the environmental impact factor; If the factor type is a short-term impact, the first judgment module (5) is used to determine whether there are multiple environmental impact parameters corresponding to the short-term impact. If there are multiple environmental impact parameters corresponding to the short-term impact, the second judgment module (6) is used to determine whether there is a correlation between the environmental impact parameters. The fourth acquisition module (7) is used to acquire the corresponding associated survey data if there is a correlation between the environmental impact parameters. The module (8) is used to combine the associated directional survey data and the abnormal survey data to generate a corresponding environmental impact factor investigation and verification table; The generation module (9) is used to generate a survey assessment report corresponding to the survey area based on the environmental impact factor investigation and verification form and the survey items.

7. A terminal device, comprising a memory and a processor, characterized in that, The memory stores computer instructions that can run on the processor. When the processor loads and executes the computer instructions, it employs a hydrogeological survey method as described in any one of claims 1 to 5.

8. A computer-readable storage medium storing computer instructions, characterized in that, When the computer instructions are loaded and executed by the processor, a hydrogeological survey method as described in any one of claims 1 to 5 is employed.

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