Radioactivity monitoring equipment layout method based on water body numerical simulation

Abstract

The present invention discloses a method for arranging radioactive monitoring equipment based on numerical simulation of water bodies, belonging to the technical field of water body monitoring. The present invention solves the problem of unreasonable arrangement in the existing technology, which affects the progress of solving water pollution problems. By using the finite element method to construct a simulation model that can simulate the migration law of target pollutants in underground media and the migration of underground target pollutants, simulation data of the migration process of target pollutants in the target area are obtained; the optimal arrangement position of the radioactive monitoring equipment is determined based on the simulation data, and the monitoring results of the target pollutants are obtained through the radioactive monitoring equipment; the target pollutants in the target area are predicted through a convolutional neural network model, and the prediction results are compared with the monitoring results, thereby ensuring the effectiveness of the arrangement position of the radioactive monitoring equipment, avoiding problems such as unreasonable arrangement of the radioactive monitoring equipment and the inability to timely discover the pollution source, thereby accelerating the progress of solving water pollution problems.

Description

Technical Field

[0001] The present invention relates to the technical field of water body monitoring, and in particular to a method for arranging radioactive monitoring equipment based on water body numerical simulation. Background Art

[0002] Numerical simulation of water bodies refers to the use of mathematical models to simulate and predict the behavior and characteristics of water bodies. This method has been widely used in environmental science, hydrology, marine science and other fields, and aims to help researchers better understand and control the dynamic changes of water bodies. The basic principle of numerical simulation of water bodies is to describe the physical, chemical and biological processes of water bodies by establishing mathematical models. These models are usually based on partial differential equations and are numerically solved by computers. The continuous water body space can be discretized into a series of small units, and the flow, diffusion, reaction and other processes of the water body can be simulated by solving the equations on these grids.

[0003] In existing technologies, with the acceleration of urbanization, water pollution is becoming increasingly serious. To protect water resources and public health, the application of radioactive monitoring equipment has been vigorously promoted. However, the traditional method of deploying radioactive monitoring equipment has certain problems, such as: unreasonable equipment layout, inability to detect pollution sources in a timely manner, etc., which has affected the progress of solving water pollution problems.

[0004] Therefore, it does not meet the existing needs. We propose a radioactivity monitoring equipment layout method based on water body numerical simulation. Summary of the Invention

[0005] The object of the present invention is to provide a method for arranging radioactive monitoring equipment based on numerical simulation of water bodies, by using the finite element method to construct a simulation model that can simulate the migration law of target pollutants in underground media and the migration of underground target pollutants, thereby obtaining simulation data of the migration process of target pollutants in the target area; determining the optimal arrangement position of the radioactive monitoring equipment based on the simulation data, and obtaining monitoring results of the target pollutants through the radioactive monitoring equipment; predicting the target pollutants in the target area through a convolutional neural network model, and comparing the predicted results with the monitoring results, thereby ensuring the effectiveness of the arrangement position of the radioactive monitoring equipment, avoiding problems such as unreasonable arrangement of the radioactive monitoring equipment and inability to timely discover the pollution source, thereby accelerating the progress of solving the water pollution problem and solving the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for arranging radioactivity monitoring equipment based on water body numerical simulation includes the following steps:

[0008] Step 1: Obtain attribute data of underground target pollutants and groundwater environment data corresponding to the target area as data samples; attribute data include: composition, concentration, and distribution of substances; groundwater environment data include: hydrogeological conditions and water flow velocity;

[0009] Step 2: Based on the collected attribute data and groundwater environmental data, a finite element method is used to construct a migration simulation model of underground target pollutants to simulate the migration patterns of target pollutants in the underground medium and generate simulation data of the target pollutant migration process;

[0010] Step 3: Determine the optimal placement of the radioactivity monitoring equipment based on the simulation data, monitor the target pollutants in the target area using the radioactivity monitoring equipment, and obtain monitoring results;

[0011] Step 4: Construct a convolutional neural network model, collect actual data in the target area, import the convolutional neural network model to make predictions, and output the prediction results. Then, compare the prediction results with the monitoring results to verify whether the layout of the radioactivity monitoring equipment is effective, and optimize and adjust according to actual needs;

[0012] Step 5: After verification, the optimal placement of the radioactive monitoring equipment will be finally determined and implemented on site, and the operation of the radioactive monitoring equipment will be monitored in real time to ensure its normal operation.

[0013] Furthermore, after obtaining the attribute data of the underground target pollutants and the groundwater environment data corresponding to the target area in step 1, the following steps are specifically included:

[0014] Preprocessing of the collected attribute data and groundwater environment data includes: data cleaning, format conversion and outlier processing. Data cleaning is used to remove noise and erroneous information in the data, format conversion is used to unify the data format, and outlier processing is used to ensure data accuracy.

[0015] The pre-processed attribute data and groundwater environment data are stored in the database for subsequent analysis and use, and the stored attribute data and groundwater environment data are deeply analyzed, including statistical analysis and trend analysis. Various data analysis tools and methods, such as statistical software and data analysis libraries, can be used to extract useful information and patterns, and the analysis results are presented in the form of charts and reports to facilitate understanding and use by decision makers or staff.

[0016] Furthermore, in step 2, based on the collected attribute data and groundwater environment data, a finite element method is used to construct a migration simulation model of underground target pollutants, which specifically includes the following steps:

[0017] Discretize the underground space into a finite number of units, and connect each unit through nodes. This step is similar to the basic steps of the finite element method, namely: divide the continuum into a finite number of units and number each unit and node. Select a suitable interpolation function to represent the concentration or migration rate of the substance in each unit, which usually involves selecting an appropriate displacement function to describe the displacement distribution in the unit, and calculate the unit stiffness matrix and load vector according to the physical properties of each unit, and assemble them into a global stiffness matrix and load vector. According to the actual situation, apply appropriate boundary conditions, such as fixed boundaries and flow boundaries. Boundary conditions have an important influence on the accuracy of the model. Use numerical methods to solve the linear algebraic equations to obtain the concentration or rate of the node. Professional finite element analysis software can be used. Post-process the calculation results, including visualization and data analysis, which helps to understand the migration law of target pollutants in the underground environment.

[0018] Furthermore, in step three, determining the optimal placement of the radioactivity monitoring equipment based on the simulation data specifically includes the following steps:

[0019] Establish the main migration paths of target pollutants based on simulation data to ensure the accuracy and comprehensiveness of monitoring; explore the main paths, including: obtaining the geological structure and groundwater level of the main paths to reduce the risk of equipment failure; whether there are human settlements or important ecological and environmental areas to reduce the impact of radioactive monitoring equipment on surrounding settlements or the environment; and determine whether the main paths are close to major underground flow lines to reduce maintenance costs.

[0020] Furthermore, in step 4, the effectiveness of the radioactivity monitoring equipment layout is verified through simulation results, and optimization and adjustment are performed according to actual needs, which specifically includes the following steps:

[0021] Collect actual data in the target area, including radiation concentration, temperature, flow rate, and water level; establish a convolutional neural network model based on the collected actual data, and use the convolutional neural network model to predict the actual data to obtain a prediction result on whether there are radioactive substances in the target area; then compare the prediction result with the monitoring result of the radioactive monitoring equipment. If the difference between the two is small, it means that the layout of the radioactive monitoring equipment is effective; if the difference between the two is large, it means that there is a problem with the layout of the radioactive monitoring equipment; and analyze the radioactive monitoring equipment and its location distribution, and find out the reasons for the invalid equipment layout, including: incorrect equipment layout, inappropriate monitoring frequency, or problems with the monitoring method itself; according to the analysis results, improve the layout of the radioactive monitoring equipment and re-predict, and repeatedly compare the difference between the prediction result and the monitoring data until the radioactive monitoring equipment layout is qualified;

[0022] After collecting actual data in the target area, the following steps are included:

[0023] The actual data is cleaned and divided into training set and test set. The training set is used to train the convolutional neural network model and establish the feature set and training results of the convolutional neural network model. The test set is used to test the convolutional neural network model and verify the training results to ensure the accuracy of the convolutional neural network model's prediction ability.

[0024] Furthermore, after the pre-processed attribute data and groundwater environment data are stored in the database, the following steps are specifically included:

[0025] Setting security permissions for stored attribute data and groundwater environment data, including: using asymmetric keys to lock access to the database, allowing decision makers or staff to unlock the database using predetermined primary and secondary keys to gain access to the attribute data and groundwater environment data; using digital signatures to encrypt the attribute data and groundwater environment data to ensure data security and ease of access;

[0026] The decision maker or staff unlocks the database according to the predetermined primary key and secondary key. The primary key is: the user's login account and password, and the secondary key is: the private key set by the storage party.

[0027] Furthermore, the attribute data and groundwater environment data are encrypted using a digital signature method, which specifically includes the following steps:

[0028] The storage party and the access party share the primary key of the database. The storage party uses the hash algorithm to process the original attribute data and groundwater environment data to generate a data summary of a fixed length; the storage party encrypts the data summary with the secondary key to obtain a digital signature, and the storage party synchronously sends the original data and digital signature to the access party; the access party uses the primary key to decrypt the digital signature to obtain a data summary; the access party then uses the same hash algorithm to calculate the summary and compares the decrypted data summary with the data summary calculated by itself to see if they are consistent; if the two are consistent, it means that the content in the database has not been tampered with; if the two are inconsistent, it means that the content in the database has been tampered with.

[0029] Furthermore, before discretizing the underground space into a finite number of units, the following steps are specifically included:

[0030] Identify the target pollutants to be studied and their migration pathways and influencing factors in the underground environment, including: determining the chemical properties of the target pollutants, the physicochemical properties of the migration media such as soil and groundwater, and possible migration pathways.

[0031] Furthermore, the radioactivity monitoring equipment arrangement method based on water body numerical simulation also includes:

[0032] Establish a three-dimensional coordinate system for the target area, import the layout position of the radioactive monitoring equipment into the three-dimensional coordinate system, and use the coordinates to calibrate the position of each radioactive monitoring equipment;

[0033] The radioactive monitoring equipment performs peripheral detection through circumferential scanning. When a radioactive target pollutant is detected, the direction of the peak value of the target pollutant detection signal received by each radioactive monitoring device is determined by coordinates;

[0034] Conduct a comprehensive analysis based on the direction of the highest peak values ​​detected by different radioactive monitoring equipment to determine the sub-areas where each target pollutant is located and the amount of target pollutants;

[0035] Determine the three radioactive monitoring devices that are closest to the sub-area and are not located on the same straight line. By analyzing the sub-area direction detection signal strength received by these three radioactive monitoring devices, the real-time positioning of the target pollutants in the sub-area range is obtained.

[0036] Furthermore, the radioactivity monitoring equipment arrangement method based on water body numerical simulation also includes:

[0037] Continuously record the real-time location of each target pollutant detected by radioactive monitoring equipment, and draw the real-time location change coordinate trajectory of each target pollutant over time;

[0038] Based on the first real-time positioning of each target pollutant, combined with the migration law of the target pollutant in the underground medium simulated in step 2, the simulated migration trajectory of each target pollutant is drawn;

[0039] The following algorithm is used to compare the simulated migration trajectory of each target pollutant with the real-time positioning change coordinate trajectory:

[0040]

[0041]

[0042] in, is the vector length of the simulated migration trajectory coordinate point of the target pollutant corresponding to time t and the real-time positioning change coordinate trajectory coordinate point, is the coordinate vector of the real-time positioning change coordinate trajectory point of the target pollutant corresponding to time t, is the coordinate vector of the simulated migration trajectory coordinate point of the target pollutant corresponding to time t, is the angle change of the coordinate vector of the line connecting the simulated migration trajectory coordinate point and the real-time positioning change coordinate trajectory coordinate point corresponding to the adjacent time points, The coordinate vector angle of the line connecting the simulated migration trajectory coordinate point corresponding to time t+1 and the real-time positioning change coordinate trajectory coordinate point; is the coordinate vector angle of the line connecting the simulated migration trajectory coordinate point corresponding to time t and the real-time positioning change coordinate trajectory coordinate point;

[0043] When there is a vector length Greater than the length threshold, or the angle change of the coordinate vector When the angle change is greater than the threshold, an impact analysis is performed in combination with the attribute data and groundwater environment data, and the applicability of the migration simulation model constructed by the finite element method is adjusted according to the impact analysis results.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] The present invention uses the finite element method to construct an underground target pollutant migration simulation model that can simulate the migration laws of target pollutants in underground media, thereby obtaining simulation data of the target pollutant migration process in the target area; determines the optimal layout position of the radioactive monitoring equipment based on the simulation data, and obtains the monitoring results of the target pollutants through the radioactive monitoring equipment; predicts the target pollutants in the target area through a convolutional neural network model, and compares the prediction results with the monitoring results, thereby ensuring the effectiveness of the layout position of the radioactive monitoring equipment, avoiding problems such as unreasonable layout of the radioactive monitoring equipment and failure to timely discover the pollution source, thereby accelerating the progress of solving water pollution problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a flow chart of the radioactivity monitoring equipment arrangement method based on water body numerical simulation of the present invention. DETAILED DESCRIPTION

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0048] To address the increasingly serious water pollution problem caused by the acceleration of urbanization, and to protect water resources and public health, the application of radioactive monitoring equipment has been vigorously promoted. However, the traditional radioactive monitoring equipment layout method has certain problems, such as: unreasonable equipment layout, inability to detect pollution sources in a timely manner, etc., which have affected the progress of solving water pollution problems. Figure 1 , this embodiment provides the following technical solutions:

[0049] A method for arranging radioactivity monitoring equipment based on water body numerical simulation includes the following steps:

[0050] Step 1: Obtain attribute data of underground target pollutants and groundwater environmental data corresponding to the target area as data samples; attribute data includes: composition, concentration, and distribution of substances; groundwater environmental data includes: hydrogeological conditions and water flow velocity; after obtaining attribute data and groundwater environmental data, the following steps are specifically included:

[0051] The collected attribute data and groundwater environment data are preprocessed, including data cleaning, format conversion and outlier processing. Data cleaning is used to remove noise and erroneous information in the data, format conversion is used to unify the format of the data, and outlier processing is used to ensure the accuracy of the data. Specifically, data cleaning can remove erroneous, inaccurate and incomplete information in the data, thereby improving the credibility and accuracy of the data. At the same time, it can remove noise in the data as well as redundant and repeated information in the data, reduce the burden of data storage and processing, improve data processing efficiency and reduce costs.

[0052] The pre-processed attribute data and groundwater environment data are stored in a database for subsequent analysis and use. In-depth analysis of the stored attribute data and groundwater environment data is performed, including statistical analysis and trend analysis. Various data analysis tools and methods, such as statistical software and data analysis libraries, can be used to extract useful information and patterns. The analysis results are then presented in the form of charts and reports to facilitate understanding and use by decision makers or staff. The specific steps include:

[0053] Setting security permissions for the stored attribute data and groundwater environment data includes: using asymmetric keys to lock the access rights to the database, and the decision maker or staff unlocks the database according to the predetermined primary key and secondary key to obtain the access rights to the attribute data and groundwater environment data. The primary key is: the user login account and password, and the secondary key is: the private key set by the storage party. Specifically, in this embodiment, such as: through real identity registration and verification, the decision maker or staff’s mobile phone number is authorized as the database login account, and the decision maker or staff sets a unique password for his or her own login account. By entering the login account and password and passing the verification, the database login permission is obtained; the storage party then pre-sets a secondary key, that is, a specified code, such as: entering BM2323589, and after the code verification is passed, the database access permission is obtained; thereby ensuring the security of the database, preventing irrelevant personnel from accessing the database at will, and thus reducing the database carrying pressure.

[0054] The digital signature method is used to encrypt the attribute data and groundwater environment data to ensure the security and easy access of the data. The specific steps include the following: the storage party and the access party share the primary key of the database, the storage party uses the hash algorithm to process the original attribute data and groundwater environment data to generate a fixed-length data summary; the storage party encrypts the data summary with the secondary key to obtain a digital signature, and the storage party sends the original data and the digital signature to the access party synchronously; the access party uses the primary key to decrypt the digital signature to obtain the data summary; the access party then uses the same hash algorithm to calculate the summary, and compares the decrypted data summary with the data summary calculated by itself to see if they are consistent; if the two are consistent, , it means that the content in the database has not been tampered with; if the two are inconsistent, it means that the content in the database has been tampered with; specifically, following the above embodiment, for example: the decision maker or staff obtains the login permission of the database by entering the login account and password and passing the verification; after logging in, if it is necessary to verify whether the content of the database has been tampered with, an application for access digital signature can be sent to the storage party, and the storage party will synchronously send the digital signature to the accessing party; the accessing party calculates the summary by using the hash algorithm, thereby obtaining the data summary calculated by itself; and compares it with the digital signature sent by the storage party, so as to know whether the content of the database has been tampered with, thereby ensuring the security performance of the data and the accuracy of the later model establishment‌.

[0055] Step 2: Based on the collected attribute data and groundwater environmental data, a finite element method is used to construct an underground target pollutant migration simulation model to simulate the migration pattern of the target pollutant in the underground medium and generate simulation data of the target pollutant migration process; specifically, the following steps are included:

[0056] Identify the target pollutants to be studied and their migration paths and influencing factors in the underground environment, including: determining the chemical properties of the target pollutants, the physicochemical properties of the migration medium, such as soil, groundwater, and possible migration paths; discretizing the underground space into a finite number of units, and connecting each unit through nodes; this step is the basic step of the finite element method, namely: dividing the continuum into a finite number of units, and numbering each unit and node; selecting a suitable interpolation function to represent the substance concentration or migration rate in each unit, and usually selecting a suitable displacement function to describe the displacement distribution in the unit; calculating the unit stiffness matrix and load vector according to the physical characteristics of each unit, and assembling them into a global stiffness matrix and load vector; since boundary conditions have an important influence on the accuracy of the model, it is necessary to apply appropriate boundary conditions according to the actual situation. For example: fixed boundaries, flow boundaries, etc.; use numerical methods to solve linear algebraic equations to obtain the concentration or rate of the node, such as: use professional finite element analysis software for calculation; post-process the calculation results, including: visualization and data analysis, to help understand the migration patterns of target pollutants in the underground environment; specifically, through the finite element method to construct a migration model of underground target substances, the migration path of substances under different geological conditions can be simulated; use the soil type, groundwater flow, chemical composition, etc. in the target area to more accurately predict the migration path of substances in the underground space; at the same time, the migration rate of substances under different conditions can be simulated to assist decision makers or staff in evaluating the diffusion rate of target pollutants in the underground space, so that measures can be taken in advance to prevent or slow the spread of harmful substances.

[0057] Step 3: Determine the optimal placement of the radioactivity monitoring equipment based on the simulation data, monitor the target pollutants in the target area using the radioactivity monitoring equipment, and obtain monitoring results; specifically, the following steps are included:

[0058] Establish the main migration paths of target pollutants based on simulation data to ensure the accuracy and comprehensiveness of monitoring; explore the main paths, including: obtaining the geological structure and groundwater level of the main paths, and optimizing the layout of radioactive monitoring equipment based on factors such as the type, size, and accuracy requirements of the radioactive monitoring equipment to reduce the risk of failure of the radioactive monitoring equipment; determine whether there are human settlements or important ecological and environmental areas to reduce the impact of radioactive monitoring equipment on surrounding residential areas or the environment; and determine whether the main paths are close to the main underground flow lines to reduce maintenance costs; specifically, after establishing the main migration paths of target pollutants, it is also necessary to collect and organize relevant geographic information data, including topographic maps, land use type maps, administrative division maps, etc., to better understand the geological characteristics and hydrological environment of the target area, so as to arrange radioactive monitoring equipment in more appropriate locations.

[0059] Step 4: Construct a convolutional neural network model, collect actual data in the target area, import the convolutional neural network model to make predictions, and output the prediction results. Then, compare the prediction results with the monitoring results to verify whether the layout of the radioactive monitoring equipment is effective and optimize and adjust it according to actual needs. The specific steps include:

[0060] Collect actual data in the target area, including radiation concentration, temperature, flow rate, and water level; clean the actual data and divide the cleaned actual data into a training set and a test set. The training set is used to train the convolutional neural network model and establish the feature set and training results of the convolutional neural network model. The test set is used to test the convolutional neural network model and verify the training results to ensure the accuracy of the convolutional neural network model's prediction ability; establish a convolutional neural network model based on the collected actual data, and use the convolutional neural network model to predict the actual data to obtain a prediction result on whether there are radioactive substances in the target area; then compare the prediction results with the monitoring results of the radioactivity monitoring equipment. If the difference between the two is small, it means that the layout of the radioactivity monitoring equipment is effective; if the difference between the two is large, it means that there is a problem with the layout of the radioactivity monitoring equipment; and analyze the radioactivity monitoring equipment and its location distribution, and find out the reasons for the invalid equipment layout, which may include: incorrect equipment layout, inappropriate monitoring frequency, or problems with the monitoring method itself; based on the analysis results, improve the layout of the radioactivity monitoring equipment, re-predict, and repeatedly compare the difference between the prediction results and the monitoring data until the radioactivity monitoring equipment layout is qualified; The convolutional neural network model is used to exercise the actual data in the target area, so as to predict whether there are target pollutants in the path where the radioactive monitoring equipment is arranged. For example, after the convolutional neural network model is exercised, it is found that there are extremely small amounts of radioactive nuclides iodine-131 and cesium-137 in the path where the radioactive monitoring equipment is arranged, which is used as the prediction result; if the water body in the path is monitored by the radioactive monitoring equipment, it is found that there are extremely small amounts of radioactive nuclides iodine-131 and cesium-137 in the path where the radioactive monitoring equipment is arranged, which is used as the simulation result; the two are compared to obtain the current location of the radioactive monitoring equipment. Reasonable and without problems; if after monitoring the water body in the path through the radioactive monitoring equipment, it is found that there is no target pollutant in the path where the radioactive monitoring equipment is arranged, it is used as the simulation result; the two are compared, and it is concluded that the current arrangement position of the radioactive monitoring equipment is unreasonable and has problems. Therefore, it is necessary to check each radioactive monitoring device, ensure that each device is correct, adjust its arrangement position, and perform data monitoring and verification again until the radioactive monitoring equipment is arranged qualifiedly, thereby verifying the effectiveness of the arrangement position of the radioactive monitoring equipment, thereby improving the accuracy of water body monitoring and ensuring effective prevention of water pollution.

[0061] Step 5. After verification, the optimal layout location of the radioactive monitoring equipment will be finally determined and implemented on site, and the operation of the radioactive monitoring equipment will be monitored in real time to ensure its normal operation. Specifically, after the simulation results of the radioactive monitoring equipment are verified, the layout path and specific equipment location of the current radioactive monitoring equipment will be recorded. This location planning will then be applied in practice, completing the process of the radioactive monitoring equipment layout method based on water body numerical simulation.

[0062] The beneficial effects achieved by the above content: Through the above operations, the effectiveness of the layout of the radioactive monitoring equipment is ensured, and problems such as unreasonable layout of radioactive monitoring equipment and inability to timely detect pollution sources are avoided, thereby accelerating the progress of solving water pollution problems.

[0063] Working principle: By using the finite element method to construct a migration simulation model that can simulate the migration patterns of target pollutants in underground media and the migration of underground target pollutants, simulation data of the migration process of target pollutants in the target area are obtained; the optimal layout of the radioactive monitoring equipment is determined based on the simulation data, and the monitoring results of the target pollutants are obtained through the radioactive monitoring equipment; the target pollutants in the target area are predicted through the convolutional neural network model, and the prediction results are compared with the monitoring results to verify whether the layout of the radioactive monitoring equipment is accurate.

[0064] Based on the above embodiment, the method for arranging radioactive monitoring equipment based on water body numerical simulation further includes:

[0065] Establish a three-dimensional coordinate system for the target area, import the layout position of the radioactive monitoring equipment into the three-dimensional coordinate system, and use the coordinates to calibrate the position of each radioactive monitoring equipment;

[0066] The radioactive monitoring equipment performs peripheral detection through circumferential scanning. When a radioactive target pollutant is detected, the direction of the peak value of the target pollutant detection signal received by each radioactive monitoring device is determined by coordinates;

[0067] Conduct a comprehensive analysis based on the direction of the highest peak values ​​detected by different radioactive monitoring equipment to determine the sub-areas where each target pollutant is located and the amount of target pollutants;

[0068] Determine the three radioactive monitoring devices that are closest to the sub-area and are not located on the same straight line. By analyzing the sub-area direction detection signal strength received by these three radioactive monitoring devices, the real-time positioning of the target pollutants in the sub-area range is obtained.

[0069] Specifically, by coordinating the coordinate system and the layout of the radioactive monitoring equipment, combined with the directional differences in signal reception of the radioactive monitoring equipment, quantitative analysis is performed through three-point positioning to determine the precise position of each target pollutant in the target area, thereby improving the accuracy of target pollutant position monitoring; in addition, a three-dimensional model can be established for the target area, and the above process can be marked and visualized on the three-dimensional model, making monitoring more intuitive and user-friendly.

[0070] Based on the above embodiment, the method for arranging radioactive monitoring equipment based on water body numerical simulation further includes:

[0071] Continuously record the real-time location of each target pollutant detected by radioactive monitoring equipment, and draw the real-time location change coordinate trajectory of each target pollutant over time;

[0072] Based on the first real-time positioning of each target pollutant, combined with the migration law of the target pollutant in the underground medium simulated in step 2, the simulated migration trajectory of each target pollutant is drawn;

[0073] The following algorithm is used to compare the simulated migration trajectory of each target pollutant with the real-time positioning change coordinate trajectory:

[0074]

[0075]

[0076] in, is the vector length of the simulated migration trajectory coordinate point of the target pollutant corresponding to time t and the real-time positioning change coordinate trajectory coordinate point, is the coordinate vector of the real-time positioning change coordinate trajectory point of the target pollutant corresponding to time t, is the coordinate vector of the simulated migration trajectory coordinate point of the target pollutant corresponding to time t, is the angle change of the coordinate vector of the line connecting the simulated migration trajectory coordinate point and the real-time positioning change coordinate trajectory coordinate point corresponding to the adjacent time points, The coordinate vector angle of the line connecting the simulated migration trajectory coordinate point corresponding to time t+1 and the real-time positioning change coordinate trajectory coordinate point; is the coordinate vector angle of the line connecting the simulated migration trajectory coordinate point corresponding to time t and the real-time positioning change coordinate trajectory coordinate point;

[0077] When there is a vector length Greater than the length threshold, or the angle change of the coordinate vector When the angle change is greater than the threshold, an impact analysis is performed in combination with the attribute data and groundwater environment data, and the applicability of the migration simulation model constructed by the finite element method is adjusted according to the impact analysis results.

[0078] Specifically, based on the aforementioned precise positioning of the target pollutant position monitoring, the actual trajectory line reflecting the migration of the target pollutants is drawn through the precise positioning data at each moment; the finite element analysis simulation is used to obtain the simulated migration trajectory of each target pollutant, and the actual position and simulated position of each target pollutant are vector transformed in the coordinate system, and vector calculation is introduced for quantitative analysis to compare the distance deviation between the actual position and the simulated position and the difference in migration angle between the two. Then, combined with the corresponding threshold setting, it is judged whether the non-compliance between the finite element analysis and the actual situation exceeds the allowable range. If so, it indicates that the migration simulation model constructed based on the finite element method has poor fit; it is necessary to conduct an impact analysis in combination with the attribute data and the groundwater environment data, and adjust the applicability of the migration simulation model constructed by the finite element method according to the results of the impact analysis; the above scheme can realize automatic adjustment of the fit of the migration simulation model constructed by the finite element method, so that the migration simulation model has evolutionary and self-improvement functions, so that the more the migration simulation model is used, the higher the accuracy and the better it is used.

[0079] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0080] While the embodiments of the present invention have been shown and described, it will be apparent to those skilled in the art that various changes, modifications, substitutions, and alterations can be made to these embodiments without departing from the principles and spirit of the invention.

Claims

1. A method for arranging radioactive monitoring equipment based on numerical simulation of water bodies, characterized in that: The following steps are involved: Step 1: Obtain attribute data of underground target pollutants and groundwater environment data corresponding to the target area as data samples; Attribute data include: composition, concentration, and distribution of substances; groundwater environmental data include: hydrogeological conditions and water flow velocity; Step 2: Based on the collected attribute data and groundwater environmental data, a finite element method is used to construct an underground target pollutant migration simulation model to simulate the migration pattern of the target pollutant in the underground medium and generate simulation data of the target pollutant migration process; wherein, the use of the finite element method to construct the underground target pollutant migration simulation model specifically includes the following steps: Identify the target pollutants and their migration pathways and influencing factors in the underground environment, including: determining the chemical properties of the target pollutants, the physicochemical properties of the migration medium, and possible migration pathways; Discretize the underground space into a finite number of units, and connect each unit through nodes; Select an appropriate interpolation function to represent the material concentration or migration rate within each unit, calculate the unit stiffness matrix and load vector based on the physical properties of each unit, and assemble them into a global stiffness matrix and load vector; Apply appropriate boundary conditions according to actual conditions; Use numerical methods to solve linear algebraic equations to obtain concentrations or rates at nodes; Post-process the calculation results, including visualization and data analysis; Step 3: Determine the optimal placement of the radioactivity monitoring equipment based on the simulation data, monitor the target pollutants in the target area using the radioactivity monitoring equipment, and obtain monitoring results; Step 4: Build a convolutional neural network model, collect actual data in the target area, import the convolutional neural network model for prediction, and output the prediction results. Then compare the prediction results with the monitoring results to verify whether the layout of the radioactivity monitoring equipment is effective and optimize and adjust according to actual needs; Step 5: After verification, the optimal placement of the radioactive monitoring equipment will be finally determined and implemented on site, and the operation of the radioactive monitoring equipment will be monitored in real time to ensure its normal operation.

2. The method for arranging radioactive monitoring equipment based on water body numerical simulation according to claim 1, characterized in that: After obtaining the attribute data of underground target pollutants and groundwater environment data corresponding to the target area in step 1, the following steps are specifically included: Preprocessing of the collected attribute data and groundwater environment data includes: data cleaning, format conversion and outlier processing. Data cleaning is used to remove noise and erroneous information in the data, format conversion is used to unify the data format, and outlier processing is used to ensure data accuracy. The pre-processed attribute data and groundwater environment data are stored in the database, and the stored attribute data and groundwater environment data are deeply analyzed, including statistical analysis and trend analysis, to extract useful information and patterns, and the analysis results are displayed in the form of charts and reports.

3. The method for arranging radioactive monitoring equipment based on water body numerical simulation according to claim 1 is characterized in that: In the third step, determining the optimal placement of the radioactivity monitoring equipment based on the simulation data specifically includes the following steps: Based on the simulation data, the main migration paths of the target pollutants are established and the main paths are explored, including: obtaining the geological structure, groundwater level, whether there are human settlements or important ecological and environmental areas along the main paths, and determining whether the main paths are close to the main underground flow lines.

4. The method for arranging radioactive monitoring equipment based on water body numerical simulation according to claim 1, characterized in that: In step 4, the effectiveness of the radioactivity monitoring equipment layout is verified through simulation results, and optimization and adjustment are performed according to actual needs, which specifically includes the following steps: Collect actual data in the target area, including radiation concentration, temperature, flow rate, and water level; establish a convolutional neural network model based on the collected actual data, and use the convolutional neural network model to predict the actual data to obtain a prediction result on whether radioactive substances exist in the target area; then compare the prediction result with the monitoring result of the radioactive monitoring equipment. If the difference between the two is small, it means that the layout of the radioactive monitoring equipment is effective; if the difference between the two is large, it means that there is a problem with the layout of the radioactive monitoring equipment; analyze the radioactive monitoring equipment and its location distribution. Based on the analysis results, improve the layout of the radioactive monitoring equipment and re-predict, and repeatedly compare the difference between the prediction result and the monitoring data until the radioactive monitoring equipment layout is qualified; After collecting actual data in the target area, the following steps are included: The actual data is cleaned and divided into training set and test set. The training set is used to train the convolutional neural network model and establish the feature set and training results of the convolutional neural network model. The test set is used to test the convolutional neural network model and verify the training results to ensure the accuracy of the prediction ability of the convolutional neural network model.

5. The method for arranging radioactive monitoring equipment based on water body numerical simulation according to claim 2, characterized in that: After the pre-processed attribute data and groundwater environment data are stored in the database, the following steps are specifically included: Setting security permissions for stored attribute data and groundwater environment data, including: using asymmetric keys to lock access to the database, allowing decision makers or staff to unlock the database using predetermined primary and secondary keys to gain access to the attribute data and groundwater environment data; using digital signatures to encrypt the attribute data and groundwater environment data to ensure data security and ease of access; The decision maker or staff unlocks the database according to the predetermined primary key and secondary key. The primary key is: the user's login account and password, and the secondary key is: the private key set by the storage party.

6. The method for arranging radioactive monitoring equipment based on water body numerical simulation according to claim 5, characterized in that: The digital signature method is used to encrypt the attribute data and groundwater environment data, which specifically includes the following steps: The storage party and the access party share the primary key of the database. The storage party uses the hash algorithm to process the original attribute data and groundwater environment data to generate a data summary of a fixed length; the storage party encrypts the data summary with the secondary key to obtain a digital signature, and the storage party synchronously sends the original data and digital signature to the access party; the access party uses the primary key to decrypt the digital signature to obtain a data summary; the access party then uses the same hash algorithm to calculate the summary and compares the decrypted data summary with the data summary calculated by itself to see if they are consistent; if the two are consistent, it means that the content in the database has not been tampered with; if the two are inconsistent, it means that the content in the database has been tampered with.

7. The method for arranging radioactive monitoring equipment based on water body numerical simulation according to claim 1, characterized in that: Also includes: Establish a three-dimensional coordinate system for the target area, import the layout position of the radioactive monitoring equipment into the three-dimensional coordinate system, and use the coordinates to calibrate the position of each radioactive monitoring equipment; The radioactive monitoring equipment performs peripheral detection through circumferential scanning. When a radioactive target pollutant is detected, the direction of the peak value of the target pollutant detection signal received by each radioactive monitoring device is determined by coordinates; Comprehensively analyze the directions of the highest peak values ​​detected by different radioactive monitoring equipment to determine the sub-areas where each target pollutant is located and the amount of target pollutants; Determine the three radioactive monitoring devices that are closest to the sub-area and are not located on the same straight line. By analyzing the sub-area direction detection signal strength received by these three radioactive monitoring devices, the real-time positioning of the target pollutants in the sub-area range is obtained.

8. The method for arranging radioactive monitoring equipment based on water body numerical simulation according to claim 7, characterized in that: Also includes: Continuously record the real-time location of each target pollutant detected by radioactive monitoring equipment, and plot the coordinate trajectory of the real-time location change of each target pollutant over time; Based on the first real-time positioning of each target pollutant, combined with the migration law of the target pollutant simulated in the underground medium in step 2, the simulated migration trajectory of each target pollutant is drawn; The following algorithm is used to compare the simulated migration trajectory of each target pollutant with the real-time positioning change coordinate trajectory: in, is the vector length of the simulated migration trajectory coordinate point of the target pollutant corresponding to time t and the real-time positioning change coordinate trajectory coordinate point, is the coordinate vector of the real-time positioning change coordinate trajectory point of the target pollutant corresponding to time t, is the coordinate vector of the simulated migration trajectory coordinate point of the target pollutant corresponding to time t, is the angle change of the coordinate vector of the line connecting the simulated migration trajectory coordinate point and the real-time positioning change coordinate trajectory coordinate point corresponding to the adjacent time points, The coordinate vector angle of the line connecting the simulated migration trajectory coordinate point corresponding to time t+1 and the real-time positioning change coordinate trajectory coordinate point; is the coordinate vector angle of the line connecting the simulated migration trajectory coordinate point corresponding to time t and the real-time positioning change coordinate trajectory coordinate point; When there is a vector length Greater than the length threshold, or the angle change of the coordinate vector When the angle is greater than the angle change threshold, an impact analysis is performed in combination with the attribute data and groundwater environment data, and the applicability of the migration simulation model constructed by the finite element method is adjusted according to the impact analysis results.

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