Environmental radiation risk assessment system and method based on data analysis

Abstract

The present invention provides an environmental radiation risk assessment system and method based on data analysis, which is applied to the technical field of environmental radiation assessment. The present invention obtains the site selection of a communication base station, collects tree group data and sidewalk data within the coverage area of ​​the communication base station site selection, collects communication base station data, analyzes the growth rate of the tree group based on the tree group data and the communication base station data, analyzes the relief of the electromagnetic radiation of the communication base station by the tree group based on the growth rate of the tree group, analyzes the electromagnetic radiation impact of the communication base station on pedestrians based on the relief of the electromagnetic radiation of the communication base station by the tree group and the sidewalk data, and analyzes the optimal site selection of the communication base station based on the electromagnetic radiation impact of the communication base station on pedestrians. The present invention analyzes the attenuation effect of the electromagnetic radiation of the communication base station by predicting the growth of trees, quantifies the radiation impact of group exposure, and screens out the optimal site selection of the communication base station, which is conducive to improving the accuracy of site selection and reducing the hazards caused by the electromagnetic radiation of the communication base station.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental radiation assessment, and in particular to an environmental radiation risk assessment system and method based on data analysis. Background Art

[0002] Large base stations in parks usually refer to macro base stations, which are communication facilities used to provide large-scale signal coverage. Macro base stations have a wide coverage range, high transmission power, high antenna height and strong signal stability. The main purpose of building large base stations in parks is to enhance the communication experience of tourists, while supporting public safety needs such as forest fire prevention and emergency rescue. By monitoring communication base station data, the base station layout and parameter settings can be optimized, reducing the potential impact of radiation on the environment and pedestrians, and improving the coverage quality and efficiency of the communication network.

[0003] Currently, assessments of radiation hazards from communication base stations are mostly conducted using electromagnetic radiation testers, with actual measurements taken at different locations around the base station, or using electromagnetic wave propagation models to estimate radiation levels at different distances based on parameters such as the base station's transmission power, antenna gain, antenna height, antenna pattern, and operating frequency. However, there is a lack of technical means to first predict the attenuation effect of tree growth analysis on the electromagnetic radiation from the communication base station, and then quantify the radiation impact on the group exposure, thereby screening the optimal communication base station site selection, resulting in inaccurate site selection for the communication base station.

[0004] Therefore, how to improve the accuracy of site selection while reducing the harm caused by electromagnetic radiation from communication base stations has become a technical problem that technical personnel in this field urgently need to solve. Summary of the Invention

[0005] In view of the above problems, the present invention provides an environmental radiation risk assessment system and method based on data analysis that overcomes the above problems or at least partially solves the above problems. The present invention obtains the site selection of a communication base station, collects tree group data and sidewalk data within the coverage area of ​​the communication base station site selection, collects communication base station data, analyzes the growth rate of the tree group based on the tree group data and the communication base station data, analyzes the relief of the electromagnetic radiation of the communication base station by the tree group based on the growth rate of the tree group, analyzes the impact of the electromagnetic radiation of the communication base station on pedestrians based on the relief of the electromagnetic radiation of the communication base station by the tree group and the sidewalk data, and analyzes the optimal site selection of the communication base station based on the impact of the electromagnetic radiation of the communication base station on pedestrians. The present invention analyzes the attenuation effect of the electromagnetic radiation of the communication base station by predicting the growth of trees, quantifies the radiation impact of group exposure, and screens out the optimal site selection of the communication base station, which is conducive to improving the accuracy of site selection and reducing the hazards caused by the electromagnetic radiation of the communication base station.

[0006] The present invention provides the following technical solutions:

[0007] The environmental radiation risk assessment method based on data analysis includes the following specific steps:

[0008] S1. Obtain the site selection of a communication base station and collect tree group data and sidewalk data within the coverage area of ​​the communication base station;

[0009] S2. Collect communication base station data and analyze the growth rate of the tree group based on the tree group data and the communication base station data;

[0010] S3. Analyze the mitigation of electromagnetic radiation from communication base stations by tree groups based on their growth rate;

[0011] S4. Analyze the impact of electromagnetic radiation from communication base stations on pedestrians based on the mitigation of electromagnetic radiation from communication base stations by tree groups and sidewalk data;

[0012] S5. Optimal location selection for communication base stations based on analysis of the impact of electromagnetic radiation from communication base stations on pedestrians.

[0013] Optionally, S1 includes the following specific steps:

[0014] Obtain the site selection of the communication base station, and collect tree group data and sidewalk data within the coverage range of the communication base station site selection standard. The tree group data includes the distance between the tree group and the communication base station and the tree group density. The sidewalk data includes the pedestrian flow and the exposure time of pedestrians in the coverage area of ​​the communication base station.

[0015] Optionally, S2 includes the following specific steps:

[0016] S21. Collecting communication base station data, where the communication base station data includes electromagnetic radiation and temperature of the communication base station;

[0017] S22. Collect historical electromagnetic radiation from communication base stations, historical temperatures of communication base stations, historical distances between tree groups and communication base stations, and historical tree group densities, construct a tree group growth neural network model whose inputs are the electromagnetic radiation from communication base stations, temperature of communication base stations, distances between tree groups and communication base stations, and density of tree groups, and whose outputs are tree group growth rates, divide the historical electromagnetic radiation from communication base stations, temperature of communication base stations, historical distances between tree groups and communication base stations, and historical tree group densities into a 75% parameter training set and a 25% parameter test set, input the 75% parameter training set into the tree group growth neural network model for training to obtain an initial tree group growth neural network model, input the 25% parameter test set into the initial tree group growth neural network model for testing, and output the optimal initial tree group growth neural network model with the highest accuracy in judging tree group growth rates as the tree group growth neural network model;

[0018] S23. The output strategy formula of a specific neuron in the tree population growth neural network model is:

[0019] ;

[0020] in, is the tree group growth rate output of the n+1 layer m-item neurons, is the Sigmoid activation function, is the total number of neurons in the nth layer, is the connection weight between neuron i in the nth layer and neuron m in the n+1th layer, is the electromagnetic radiation input of the communication base station of neuron i in the nth layer, is the temperature input of the communication base station of neuron i in the nth layer, is the distance input between the tree group of neuron i in the nth layer and the communication base station, is the tree population density input of neuron i in layer n, is the bias of the linear relationship between neuron i in the nth layer and neuron m in the n+1th layer;

[0021] S24. Input the collected electromagnetic radiation amount of the communication base station, the temperature of the communication base station, the distance between the tree group and the communication base station, and the density of the tree group into the tree group growth neural network model to obtain the output of the tree group growth rate.

[0022] Optionally, S3 includes the following specific steps:

[0023] S31. Predicting the average tree height and tree group growth density of the tree group within a set growth period based on the growth rate of the tree group. The average tree height of the tree group within the set growth period is obtained using an average tree height calculation formula, which is expressed as:

[0024] ;

[0025] in, is the average tree height of the tree group at the set growth time, is the current average tree height of the tree group, is the growth rate, To set the growth time, is the standard height of trees of that category;

[0026] The tree group growth density of the tree group at the set growth time is obtained by the tree group growth density calculation formula, which is expressed as:

[0027] ;

[0028] in, is the tree group growth density at the set growth time, is the current growth density of the tree group, is the set standard value of growth rate;

[0029] S32. Analyze the electromagnetic radiation amount of the communication base station after the trees block the communication base station based on the predicted average tree height and tree group growth density during the set growth period. The electromagnetic radiation amount of the communication base station after the trees block the communication base station is obtained using an electromagnetic radiation amount calculation formula. The electromagnetic radiation amount calculation formula is expressed as:

[0030] ;

[0031] in, The electromagnetic radiation of the communication base station after being blocked by trees, is the transmission power of the communication base station, is the communication base station antenna gain, is the distance between the tree group and the communication base station, is the tree population attenuation coefficient, The longest straight-line distance covered by the communication base station. is an exponential function with the real number e as its base.

[0032] Optionally, S4 includes the following specific steps:

[0033] The electromagnetic radiation impact value of the communication base station on pedestrians is analyzed based on the electromagnetic radiation amount of the communication base station after being blocked by trees, the pedestrian flow, and the exposure time of pedestrians in the communication base station coverage area. The electromagnetic radiation impact value of the communication base station on pedestrians is obtained by the electromagnetic radiation impact value calculation formula, which is expressed as:

[0034] ;

[0035] in, is the electromagnetic radiation impact value of the communication base station on pedestrians, For human traffic, is the exposure time of pedestrians in the coverage area of ​​the communication base station, is the average distance from the sidewalk to the base station.

[0036] Optionally, S5 includes the following specific steps:

[0037] The electromagnetic radiation impact values ​​of communication base stations on pedestrians are obtained and sorted in ascending order, and the communication base station location corresponding to the minimum electromagnetic radiation impact value of the communication base station on pedestrians is set as the optimal communication base station location.

[0038] The environmental radiation risk assessment system based on data analysis is used to implement the environmental radiation risk assessment method based on data analysis, including: a data acquisition module for obtaining a communication base station site, collecting tree group data, sidewalk data and communication base station data within the coverage area of ​​the communication base station site;

[0039] Growth rate analysis module, used to analyze the growth rate of tree groups based on tree group data and communication base station data;

[0040] Radiation mitigation analysis module, used to analyze the mitigation of electromagnetic radiation from communication base stations by tree clusters based on their growth rate;

[0041] Pedestrian radiation analysis module, used to analyze the impact of electromagnetic radiation from communication base stations on pedestrians based on the mitigation of electromagnetic radiation from communication base stations by tree groups and sidewalk data;

[0042] The optimal site selection analysis module is used to analyze the optimal site selection of communication base stations based on the impact of electromagnetic radiation from communication base stations on pedestrians.

[0043] A computer-readable storage medium stores a program, which, when executed by a processor, implements the environmental radiation risk assessment method based on data analysis.

[0044] An electronic device includes at least one processor, and at least one memory and a bus connected to the processor, wherein the processor and the memory communicate with each other via the bus, and the processor is used to call program instructions in the memory to execute the environmental radiation hazard assessment method based on data analysis.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] The present invention obtains the site selection of a communication base station, collects tree group data and sidewalk data within the coverage area of ​​the communication base station site selection, collects communication base station data, analyzes the growth rate of the tree group based on the tree group data and the communication base station data, analyzes the relief of electromagnetic radiation of the communication base station by the tree group based on the growth rate of the tree group, analyzes the electromagnetic radiation impact of the communication base station on pedestrians based on the relief of the electromagnetic radiation of the communication base station by the tree group and the sidewalk data, and analyzes the optimal site selection of the communication base station based on the electromagnetic radiation impact of the communication base station on pedestrians. The present invention predicts the growth of trees to analyze the attenuation effect of the electromagnetic radiation of the communication base station, quantifies the radiation impact of the group exposure, and screens out the optimal site selection of the communication base station, which is beneficial to improving the accuracy of site selection and reducing the harm caused by electromagnetic radiation from the communication base station. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0048] Figure 1 A schematic flow chart of a method for environmental radiation risk assessment based on data analysis provided by an embodiment of the present invention is shown;

[0049] Figure 2 A schematic diagram of the process S2 of the environmental radiation risk assessment method based on data analysis provided by an embodiment of the present invention is shown;

[0050] Figure 3 The figure shows the overall framework of the environmental radiation risk assessment system based on data analysis provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of the present invention.

[0052] See also Figure 1 , Figure 1 A schematic flow chart of a method for environmental radiation risk assessment based on data analysis provided by an embodiment of the present invention is shown;

[0053] An embodiment of the present invention provides a method for environmental radiation risk assessment based on data analysis, which includes the following specific steps:

[0054] S1. Obtain the site selection of a communication base station and collect tree group data and sidewalk data within the coverage area of ​​the communication base station;

[0055] In this embodiment, S1 includes the following specific steps:

[0056] Obtain the site selection of the communication base station, and collect tree group data and sidewalk data within the coverage range of the communication base station site selection standard. The tree group data includes the distance between the tree group and the communication base station and the tree group density. The sidewalk data includes the pedestrian flow and the exposure time of pedestrians in the coverage area of ​​the communication base station.

[0057] During the specific implementation of this embodiment, the center point of the communication base station and the center point of the tree group are obtained. If the shape is irregular, the center point of the circumscribed rectangle is used to obtain the center point. The distance between the tree group and the communication base station is measured using a laser rangefinder or a total station. High-resolution remote sensing images or drone aerial images are used to obtain the distribution of the tree group. A tree cover density mapping tool is used to analyze the image through a geographic information system. A system sampling grid is set to sample the tree group. Within each sampling unit, the number of trees is counted and the tree density per unit area is calculated. Combined with the tree group density data, its impact on the signal coverage of the communication base station is analyzed. A pedestrian flow meter or video surveillance equipment is used to record the pedestrian flow at different time periods. The pedestrian flow is counted using image processing technology. The collected pedestrian flow data is classified by time period and the average pedestrian flow is calculated. The frequency of use of the area covered by the communication base station is evaluated using the pedestrian flow data. The overlapping part with the sidewalk range is obtained based on the coverage range of the communication base station. The average stay time of pedestrians in the coverage area is calculated based on the pedestrian flow data.

[0058] S2. Collect communication base station data and analyze the growth rate of the tree group based on the tree group data and the communication base station data;

[0059] See also Figure 2 , Figure 2 A schematic diagram of the process S2 of the environmental radiation risk assessment method based on data analysis provided by an embodiment of the present invention is shown;

[0060] In this embodiment, S2 includes the following specific steps:

[0061] S21. Collecting communication base station data, including the amount of electromagnetic radiation and temperature at the communication base station. This data provides key data for subsequent analysis of the impact of environmental factors at the communication base station on tree growth. Electromagnetic radiation and temperature directly or indirectly affect tree growth. Comprehensively considering these two factors can more comprehensively reflect the characteristics of the environment surrounding the communication base station, avoiding the one-sidedness caused by single-factor analysis. Electromagnetic radiation may affect plant physiological processes, such as the membrane potential and enzyme activity of plant cells. Temperature is also an important environmental factor affecting plant growth, directly affecting plant physiological activities such as photosynthesis and respiration.

[0062] S22. Collect historical electromagnetic radiation from communication base stations, historical temperatures of communication base stations, historical distances between tree groups and communication base stations, and historical tree group densities, and construct a tree group growth neural network model whose inputs are electromagnetic radiation from communication base stations, temperature of communication base stations, distances between tree groups and communication base stations, and density of tree groups, and whose outputs are tree group growth rates. Divide historical electromagnetic radiation from communication base stations, temperature of communication base stations, historical distances between tree groups and communication base stations, and historical tree group densities into 75% parameter training sets and 25% parameter test sets. Input 75% of the parameter training sets into the tree group growth neural network model for training to obtain an initial tree group growth neural network model. Input 25% of the parameter test sets into the initial tree group growth neural network model for testing, and output the tree group growth rate. The optimal initial tree cluster growth neural network model with the highest judgment accuracy is used as the tree cluster growth neural network model; by constructing the neural network model, historical data can be used to learn the complex relationship between factors such as the electromagnetic radiation of the communication base station, temperature, the distance between the tree cluster and the base station, and the density of the tree cluster and the tree cluster growth rate, so as to predict the growth rate of the tree cluster. The historical data is divided into a training set and a test set. The model is trained with the training set, and then tested and optimized with the test set. This can improve the generalization ability and accuracy of the model and avoid the occurrence of overfitting. The neural network can automatically learn complex nonlinear relationships from the data. Through training with a large amount of historical data, the model can better capture the intrinsic relationship between various factors and the growth rate of the tree cluster.

[0063] S23. The output strategy formula of a specific neuron in the tree population growth neural network model is:

[0064] ;

[0065] in, is the tree group growth rate output of the n+1 layer m-item neurons, is the Sigmoid activation function, is the total number of neurons in the nth layer, is the connection weight between neuron i in the nth layer and neuron m in the n+1th layer, is the electromagnetic radiation input of the communication base station of neuron i in the nth layer, is the temperature input of the communication base station of neuron i in the nth layer, is the distance input between the tree group of neuron i in the nth layer and the communication base station, is the tree population density input of neuron i in layer n, To offset the linear relationship between neuron i in the nth layer and neuron m in the n+1th layer, a Sigmoid activation function is introduced. This can perform nonlinear transformations on the input signal, enabling the model to handle complex nonlinear relationships. This is used to accurately describe the relationship between various factors and the growth rate of the tree population, because the relationship between these factors is often nonlinear in reality. The formula includes connection weights and biases. These parameters can be adjusted during the model training process, allowing the model to automatically learn the optimal parameter combination based on the characteristics of the input data, thereby improving the model's prediction accuracy.

[0066] S24. Input the collected electromagnetic radiation of the communication base station, the temperature of the communication base station, the distance between the tree group and the communication base station, and the density of the tree group into the tree group growth neural network model to obtain the output of the tree group growth rate. The trained and optimized neural network model has a certain predictive ability. When new input data is input into the model, the model can output the corresponding tree group growth rate prediction result according to the previously learned relationship. This is the basic application principle based on the machine learning model.

[0067] S3. Analyze the mitigation of electromagnetic radiation from communication base stations by tree groups based on their growth rate;

[0068] In this embodiment, S3 includes the following specific steps:

[0069] S31. Predicting the average tree height and tree group growth density of the tree group within a set growth period based on the growth rate of the tree group. The average tree height of the tree group within the set growth period is obtained using an average tree height calculation formula, which is expressed as:

[0070] ;

[0071] in, is the average tree height of the tree group at the set growth time, is the current average tree height of the tree group, is the growth rate, To set the growth time, is the standard height of trees of that category;

[0072] The tree group growth density of the tree group at the set growth time is obtained by the tree group growth density calculation formula, which is expressed as:

[0073] ;

[0074] in, is the tree group growth density at the set growth time, is the current growth density of the tree group, The standard value of growth rate is set. In this step, accurately predicting the average tree height and growth density of the tree group within the set growth time can provide key information for urban planning, garden management, communication base station construction and maintenance, etc., and facilitate long-term monitoring and assessment of ecological and environmental changes. Understanding the growth trend of the tree group can determine the health of the ecosystem and provide data support for ecological protection and restoration. The average tree height calculation formula is based on the basic principles of tree growth. The growth of tree height is related to growth rate and time. At the same time, it takes into account the limiting factor of the standard height of trees in this category, which conforms to the natural law of tree growth. The tree group growth density calculation formula takes into account the current growth density and growth rate standard values, reflecting the dynamic changes in density during tree growth.

[0075] S32. Analyze the electromagnetic radiation amount of the communication base station after the trees block the communication base station based on the predicted average tree height and tree group growth density during the set growth period. The electromagnetic radiation amount of the communication base station after the trees block the communication base station is obtained using an electromagnetic radiation amount calculation formula. The electromagnetic radiation amount calculation formula is expressed as:

[0076] ;

[0077] in, The electromagnetic radiation of the communication base station after being blocked by trees, is the transmission power of the communication base station, is the communication base station antenna gain, is the distance between the tree group and the communication base station, The attenuation coefficient of the tree group is the radiation blocking effect of plants at unit density and unit height. The attenuation coefficient of the tree group is obtained based on the standard reference value library obtained from experiments. For example, the attenuation coefficient of the sycamore tree group is 0.12, applicable to the frequency of 1.8-2.6GHz, the attenuation coefficient of the bamboo forest tree group is 0.18, applicable to the frequency greater than 2GHz, the attenuation coefficient of the pine tree group is 0.08, applicable to the frequency of 0.7-1.9GHz, and the attenuation coefficient of the poplar tree group is 0.1, applicable to the full frequency band. The longest straight-line distance covered by the communication base station. It is an exponential function with the real number e as the base. It can accurately analyze the amount of electromagnetic radiation blocked by trees and evaluate the impact of communication base stations on the surrounding ecological environment.

[0078] S4. Analyze the impact of electromagnetic radiation from communication base stations on pedestrians based on the mitigation of electromagnetic radiation from communication base stations by tree groups and sidewalk data;

[0079] In this embodiment, S4 includes the following specific steps:

[0080] The electromagnetic radiation impact value of the communication base station on pedestrians is analyzed based on the electromagnetic radiation amount of the communication base station after being blocked by trees, the pedestrian flow, and the exposure time of pedestrians in the communication base station coverage area. The electromagnetic radiation impact value of the communication base station on pedestrians is obtained by the electromagnetic radiation impact value calculation formula, which is expressed as:

[0081] ;

[0082] in, is the electromagnetic radiation impact value of the communication base station on pedestrians, For human traffic, is the average exposure time of pedestrians in the coverage area of ​​the communication base station, The impact of electromagnetic radiation on the human body is closely related to the radiation dose and exposure time. The flow of pedestrians reflects the number of people who may be affected by radiation. The average exposure time of pedestrians in the coverage area of ​​the communication base station reflects the length of time people are exposed to radiation. The amount of electromagnetic radiation from the communication base station after being blocked by trees directly represents the intensity of the radiation. The formula combines these three key factors and conforms to the basic principles of electromagnetic radiation hazard assessment, namely that the radiation dose (radiation intensity × exposure time) and the number of affected people jointly determine the overall electromagnetic radiation impact. The average distance from the sidewalk to the base station (ds) also affects the radiation intensity. The longer the distance, the lower the radiation intensity. The formula more comprehensively reflects the radiation dose received by pedestrians in actual conditions, making the calculation results more accurate.

[0083] S5. Optimal location selection for communication base stations based on analysis of the impact of electromagnetic radiation from communication base stations on pedestrians.

[0084] In this embodiment, S5 includes the following specific steps:

[0085] The electromagnetic radiation impact values ​​of communication base stations on pedestrians are obtained and sorted in ascending order, and the communication base station location corresponding to the minimum electromagnetic radiation impact value of the communication base station on pedestrians is set as the optimal communication base station location.

[0086] See also Figure 3 , Figure 3 A schematic diagram of the overall framework of an environmental radiation risk assessment system based on data analysis provided by an embodiment of the present invention is shown;

[0087] The environmental radiation risk assessment system based on data analysis is implemented based on the above-mentioned environmental radiation risk assessment method based on data analysis, and includes: a data acquisition module for obtaining a communication base station site, collecting tree group data, sidewalk data, and communication base station data within the coverage area of ​​the communication base station site;

[0088] Growth rate analysis module, used to analyze the growth rate of tree groups based on tree group data and communication base station data;

[0089] Radiation mitigation analysis module, used to analyze the mitigation of electromagnetic radiation from communication base stations by tree clusters based on their growth rate;

[0090] Pedestrian radiation analysis module, used to analyze the impact of electromagnetic radiation from communication base stations on pedestrians based on the mitigation of electromagnetic radiation from communication base stations by tree groups and sidewalk data;

[0091] The optimal site selection analysis module is used to analyze the optimal site selection of communication base stations based on the impact of electromagnetic radiation from communication base stations on pedestrians.

[0092] An embodiment of the present invention provides a computer-readable storage medium having a program stored thereon, which implements the environmental radiation risk assessment method based on data analysis when the program is executed by a processor.

[0093] An embodiment of the present invention provides an electronic device, which includes at least one processor, and at least one memory and a bus connected to the processor, wherein the processor and the memory communicate with each other through the bus, and the processor is used to call program instructions in the memory to execute the above-mentioned environmental radiation risk assessment method based on data analysis.

[0094] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, apparatuses, electronic devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as the combination of the processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable device to generate a machine, so that the instructions executed by the processor of the computer or other programmable device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0095] The electronic device includes one or more processors (CPUs), a memory, and a bus. The electronic device may also include an input / output interface, a network interface, and the like.

[0096] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory includes at least one memory chip. The memory is an example of a computer-readable medium.

[0097] Computer-readable media include permanent and non-permanent, removable and non-removable media that can implement information storage by any method or technology. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0098] In the description of the present invention, it should be understood that if the terms "up", "down", "front", "back", "left" and "right" are used to indicate directions or positional relationships, they are based on the directions or positional relationships shown in the accompanying drawings. They are only used to facilitate the description of the present invention and simplify the description, and do not indicate or imply that the positions or elements referred to must have a specific direction, be constructed and operate in a specific direction. Therefore, they should not be understood as limitations of the present invention.

[0099] 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. It should also be noted that the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, commodity, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, commodity, or device comprising the element.

[0100] Those skilled in the art will appreciate that embodiments of the present invention may provide methods, systems, or computer program products. Therefore, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0101] In the description of this specification, the reference terms "one embodiment", "example", "specific example", etc. mean that the specific features, structures, materials or characteristics described in combination with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example, and the specific features, structures, materials or characteristics described may be combined in an appropriate manner in any one or more embodiments or examples.

[0102] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can better understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. The environmental radiation risk assessment method based on data analysis is characterized by: The specific steps include: S1. Obtain the site selection of a communication base station and collect tree group data and sidewalk data within the coverage area of ​​the communication base station; S2. Collect communication base station data and analyze the growth rate of the tree group based on the tree group data and the communication base station data; S3. Analyze the mitigation of electromagnetic radiation from communication base stations by tree groups based on their growth rate; The S3 includes the following specific steps: S31. Predicting the average tree height and tree group growth density of the tree group within a set growth period based on the growth rate of the tree group. The average tree height of the tree group within the set growth period is obtained using an average tree height calculation formula, which is expressed as: ,in, is the average tree height of the tree group at the set growth time, is the current average tree height of the tree group, is the growth rate, To set the growth time, is the standard height of trees of that category; The tree group growth density of the tree group at the set growth time is obtained by the tree group growth density calculation formula, which is expressed as: ,in, is the tree group growth density at the set growth time, is the current growth density of the tree group, is the set standard value of growth rate; S32. Analyze the electromagnetic radiation amount of the communication base station after the trees block the communication base station based on the predicted average tree height and tree group growth density during the set growth period. The electromagnetic radiation amount of the communication base station after the trees block the communication base station is obtained using an electromagnetic radiation amount calculation formula. The electromagnetic radiation amount calculation formula is expressed as: ,in, The electromagnetic radiation of the communication base station after being blocked by trees, is the transmission power of the communication base station, is the communication base station antenna gain, is the distance between the tree group and the communication base station, is the tree population attenuation coefficient, The longest straight-line distance covered by the communication base station. is an exponential function with the real number e as the base; S4. Analyze the impact of electromagnetic radiation from communication base stations on pedestrians based on the mitigation of electromagnetic radiation from communication base stations by tree groups and sidewalk data; S5. Optimal location selection for communication base stations based on analysis of the impact of electromagnetic radiation from communication base stations on pedestrians.

2. The environmental radiation risk assessment method based on data analysis according to claim 1, characterized in that: The S2 includes the following specific steps: S21. Collecting communication base station data, where the communication base station data includes electromagnetic radiation and temperature of the communication base station; S22. Collect historical electromagnetic radiation from communication base stations, historical temperatures of communication base stations, historical distances between tree groups and communication base stations, and historical tree group densities, construct a tree group growth neural network model whose inputs are the electromagnetic radiation from communication base stations, temperature of communication base stations, distances between tree groups and communication base stations, and density of tree groups, and whose outputs are tree group growth rates, divide the historical electromagnetic radiation from communication base stations, temperature of communication base stations, historical distances between tree groups and communication base stations, and historical tree group densities into a 75% parameter training set and a 25% parameter test set, input the 75% parameter training set into the tree group growth neural network model for training to obtain an initial tree group growth neural network model, input the 25% parameter test set into the initial tree group growth neural network model for testing, and output the optimal initial tree group growth neural network model with the highest accuracy in judging tree group growth rates as the tree group growth neural network model; S23. The output strategy formula of neurons in the tree group growth neural network model is: ,in, is the tree group growth rate output of the n+1 layer m-item neurons, is the Sigmoid activation function, is the total number of neurons in the nth layer, is the connection weight between neuron i in the nth layer and neuron m in the n+1th layer, is the electromagnetic radiation input of the communication base station of neuron i in the nth layer, is the temperature input of the communication base station of neuron i in the nth layer, is the distance input between the tree group of neuron i in the nth layer and the communication base station, is the tree population density input of neuron i in layer n, is the bias of the linear relationship between neuron i in the nth layer and neuron m in the n+1th layer; S24. Input the collected electromagnetic radiation amount of the communication base station, the temperature of the communication base station, the distance between the tree group and the communication base station, and the density of the tree group into the tree group growth neural network model to obtain the output of the tree group growth rate.

3. The environmental radiation risk assessment method based on data analysis according to claim 2, characterized in that: The S4 includes the following specific steps: The electromagnetic radiation impact value of the communication base station on pedestrians is analyzed based on the electromagnetic radiation amount of the communication base station after being blocked by trees, the pedestrian flow, and the exposure time of pedestrians in the communication base station coverage area. The electromagnetic radiation impact value of the communication base station on pedestrians is obtained by the electromagnetic radiation impact value calculation formula, which is expressed as: ,in, is the electromagnetic radiation impact value of the communication base station on pedestrians, For human traffic, is the exposure time of pedestrians in the coverage area of ​​the communication base station, is the average distance from the sidewalk to the base station.

4. The environmental radiation risk assessment method based on data analysis according to claim 3, characterized in that: The S5 includes the following specific steps: The electromagnetic radiation impact values ​​of communication base stations on pedestrians are obtained and sorted in ascending order, and the communication base station location corresponding to the minimum electromagnetic radiation impact value of the communication base station on pedestrians is set as the optimal communication base station location.

5. The environmental radiation risk assessment method based on data analysis according to claim 4, characterized in that: The S1 includes the following specific steps: Obtain the site selection of the communication base station, and collect tree group data and sidewalk data within the coverage range of the communication base station site selection standard. The tree group data includes the distance between the tree group and the communication base station and the tree group density. The sidewalk data includes the pedestrian flow and the exposure time of pedestrians in the coverage area of ​​the communication base station.

6. An environmental radiation risk assessment system based on data analysis, for implementing the environmental radiation risk assessment method based on data analysis as claimed in any one of claims 1 to 5, characterized in that: include: A data collection module is used to obtain the site selection of a communication base station and collect tree group data, sidewalk data and communication base station data within the coverage area of ​​the communication base station site selection; Growth rate analysis module, used to analyze the growth rate of tree groups based on tree group data and communication base station data; Radiation mitigation analysis module, used to analyze the mitigation of electromagnetic radiation from communication base stations by tree clusters based on their growth rate; Pedestrian radiation analysis module, used to analyze the impact of electromagnetic radiation from communication base stations on pedestrians based on the mitigation of electromagnetic radiation from communication base stations by tree groups and sidewalk data; The optimal site selection analysis module is used to analyze the optimal site selection of communication base stations based on the impact of electromagnetic radiation from communication base stations on pedestrians.

7. A computer-readable storage medium having a program stored thereon, characterized in that: When the program is executed by a processor, the method for environmental radiation risk assessment based on data analysis according to any one of claims 1 to 5 is implemented.

8. An electronic device, characterized in that: The electronic device includes at least one processor, and at least one memory and bus connected to the processor, wherein the processor and the memory communicate with each other through the bus, and the processor is used to call program instructions in the memory to execute the environmental radiation risk assessment method based on data analysis as described in any one of claims 1 to 5.

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