A system and method for detecting environmental electromagnetic radiation for a communication base station

Abstract

The present application discloses an environmental electromagnetic radiation detection system and method for a communication base station, which relates to the field of electromagnetic radiation detection technology and solves the technical problem that the existing technology does not consider the influence of the actual environment on the electromagnetic wave transmission when setting the detection points, resulting in inaccurate evaluation of the electromagnetic radiation of the communication base station; based on the environmental factors and their attribute data, the present application calculates the attenuation factor of area 1 through an attenuation evaluation model, and then calculates the simulated radiation value of each sub-area; after comparing the simulated radiation value with the corresponding radiation threshold, the target area is determined, and detection points are set in the target area to realize electromagnetic radiation detection; the present application analyzes the influence of environmental factors on the electromagnetic radiation of each sub-area, combines the radiation prediction value to accurately calculate the simulated radiation value of each sub-area, and then sets the detection points according to the simulated radiation value, selects a typical and reasonable target area, and improves the accuracy of the electromagnetic radiation evaluation of the communication base station.

Description

Technical Field

[0001] The present application relates to the field of electromagnetic radiation detection, and specifically to an environmental electromagnetic radiation detection system and method for a communication base station. Background Art

[0002] With the rapid construction of communication base stations, people are increasingly concerned about their electromagnetic radiation. Electromagnetic radiation of different wavelengths has different effects on human health. Therefore, it is necessary to conduct electromagnetic radiation testing on communication base stations both before and during operation.

[0003] Traditional electromagnetic radiation detection methods typically involve testing at regular intervals along the main lobe of a base station antenna. The power density of a base station's electromagnetic radiation is affected by its transmit power, antenna gain, downtilt angle, and the location of the detection points, resulting in a non-linear attenuation relationship over a given distance. Using this traditional detection method fails to account for the impact of various factors on electromagnetic wave attenuation, potentially missing critical areas during testing and compromising the accurate assessment of base station electromagnetic radiation.

[0004] The present application provides an environmental electromagnetic radiation detection system and method for a communication base station to solve the above technical problems. Summary of the Invention

[0005] The present application aims to solve at least one of the technical problems existing in the prior art; to this end, the present application proposes an environmental electromagnetic radiation detection system and method for a communication base station, which is used to solve the technical problem that the prior art does not consider the impact of the actual environment on electromagnetic wave transmission when setting detection points, and may miss important areas during the detection process, affecting the accurate evaluation of the electromagnetic radiation of the communication base station.

[0006] To achieve the above-mentioned object, a first aspect of the present application provides an environmental electromagnetic radiation detection system for a communication base station, comprising: a data processing center, and a point selection module connected thereto;

[0007] Data processing center: used to obtain environmental data within the coverage area of ​​the communication base station and build a regional environmental model of the coverage area based on the environmental data; and

[0008] The coverage area is divided into several sub-areas, and the attenuation factors of electromagnetic radiation corresponding to the sub-areas are calculated based on the regional environmental model; the simulated radiation values ​​of the sub-areas are calculated based on the attenuation factors and the radiation prediction values; wherein the attenuation factors represent the electromagnetic radiation loss rate corresponding to the sub-areas;

[0009] Point selection module: used to compare the simulated radiation value of each sub-area with the radiation threshold, select several sub-areas as target areas based on the comparison results, and set detection points in the target area to detect the corresponding electromagnetic radiation power density.

[0010] Preferably, constructing a regional environmental model of the coverage area based on the environmental data includes:

[0011] Determine the environmental factors that affect the transmission of electromagnetic waves, extract attribute data corresponding to the environmental factors from the environmental data, and mark them as target data; wherein the target data includes position coordinates, shape and height;

[0012] Preprocess the target data and use modeling software to construct a regional environmental model of the corresponding coverage area of ​​the communication base station; the preprocessing includes correction, alignment, filtering or format conversion.

[0013] Preferably, calculating the attenuation factors of electromagnetic radiation corresponding to the plurality of sub-regions based on the regional environment model includes:

[0014] Based on the regional environmental model, a simulated scan is performed starting from the communication base station. During the simulated scan, it is determined whether the sub-region is blocked by environmental elements. If so, the type of the corresponding sub-region is marked as region 1; otherwise, the type of the corresponding sub-region is marked as region 2.

[0015] Attribute data corresponding to environmental factors affecting area one are extracted from the regional environment and associated with area one; the attribute data associated with area one are integrated and input into an attenuation assessment model to obtain an attenuation factor; wherein, the attenuation assessment model is obtained based on artificial intelligence model training.

[0016] Preferably, calculating the simulated radiation values ​​of several sub-areas according to the attenuation factor and the radiation prediction value includes:

[0017] Calculate the equivalent isotropically radiated power (EITR) of the corresponding sub-area based on the base station parameters of the communication base station, and convert the EITR into a radiation prediction value for the sub-area; the base station parameters include transmit power, antenna gain, and the distance between the sub-area and the communication base station;

[0018] The simulated radiation value is calculated based on the radiation prediction value of the sub-area and the attenuation factor.

[0019] Preferably, converting the equivalent isotropically radiated power into a radiation prediction value of the sub-area includes:

[0020] Mark the sub-region as i; where i is a positive integer;

[0021] EIRP by formula i =P i ×G iCalculate the equivalent isotropic radiated power (EIRP) of a communication base station i Among them, P i is the transmission power, G i is the antenna gain;

[0022] By formula Calculate the radiation prediction value S i ; Among them, d i is the spatial distance between sub-area i and the communication base station; HLB is the traffic label, which defaults to 1, α is the impact factor, and α increases with the increase of HLB; L atm Atmospheric loss.

[0023] Preferably, comparing the simulated radiation value of each sub-region with the radiation threshold value includes:

[0024] Extracting the radiation threshold corresponding to each sub-area; wherein the radiation threshold is the maximum value of electromagnetic radiation allowed in the sub-area, and the radiation threshold is set according to the activities carried out in the sub-area;

[0025] The simulated radiation value of each sub-area is subtracted from the radiation threshold to obtain a comparison result.

[0026] Preferably, several sub-regions are selected as target regions based on the comparison results, including:

[0027] Sort several sub-regions from large to small according to the comparison results to obtain a region sequence;

[0028] The subregions in the region sequence whose comparison results are greater than 0 are defined as target region 1, and a number of subregions in the region sequence excluding target region 1 are selected as target region 2 according to a set ratio; wherein the set ratio is defined based on the number of target regions 1;

[0029] Merge target area 1 and target area 2 to obtain the target area.

[0030] Preferably, the method for selecting the second target area includes:

[0031] According to the comparison results, target area 1 is selected as the auxiliary area in descending order;

[0032] At least one sub-region is matched for the auxiliary region from the sub-regions of the region sequence except the target region 1, and the sub-region is marked as the target region 2; wherein the matching principle is that the target region 2 is located on the line connecting the communication base station and the auxiliary region.

[0033] Preferably, setting detection points in the target area to detect corresponding electromagnetic radiation power density includes:

[0034] Set detection points in the target area to detect and obtain the electromagnetic radiation power density; or,

[0035] Path planning is performed according to the location of the target area, and the electromagnetic radiation power density of the target area is detected in sequence based on the planned path.

[0036] A second aspect of the present application provides an environmental electromagnetic radiation detection method for a communication base station, comprising:

[0037] Acquire environmental data within the coverage area of ​​the communication base station and construct a regional environmental model of the coverage area based on the environmental data; divide the coverage area into several sub-areas and calculate the attenuation factors of electromagnetic radiation corresponding to the several sub-areas based on the regional environmental model; wherein the attenuation factors represent the electromagnetic radiation loss rate corresponding to the sub-areas;

[0038] The simulated radiation values ​​of several sub-areas are calculated based on the attenuation factor and the radiation prediction value; the simulated radiation values ​​of each sub-area are compared with the radiation threshold, and several sub-areas are selected as target areas based on the comparison results. Detection points are set in the target areas to detect the corresponding electromagnetic radiation power density.

[0039] Compared with the prior art, the present invention has the following advantages:

[0040] 1. This application constructs a regional environmental model of the radiation area of ​​a communication base station based on environmental data, divides the sub-area into area one and area two through simulated scanning, and uses the regional environmental model to determine whether each sub-area is affected by environmental factors, so as to subsequently calculate the attenuation factor; based on the environmental factors and their attribute data, the attenuation factor of area one is calculated through the attenuation assessment model, and then the simulated radiation value of each sub-area is calculated. By combining the attenuation assessment model with the regional environmental model, the simulated radiation value of each sub-area can be accurately calculated; the target area is determined after comparing the simulated radiation value with the corresponding radiation threshold, and detection points are set in the target area to realize electromagnetic radiation detection. This application analyzes the impact of environmental factors on the electromagnetic radiation of each sub-area, accurately calculates the simulated radiation value of each sub-area in combination with the radiation prediction value, and then sets the detection points according to the simulated radiation value, selects a typical and reasonable target area, and improves the accuracy of the electromagnetic radiation assessment of the communication base station; and the automated selection of the target area can reduce the workload of the detection personnel.

[0041] 2. This application selects target area one from the sub-areas based on the comparison results, combines target area one with the matching principle to determine target area two, and finally merges target area one and target area two to generate a target area; after selecting target area one, this application determines target area two through the matching principle. When setting detection points based on the final target area, it is possible to detect typical locations and ensure the rationality of the coverage range of the target area, thereby improving the reliability of the electromagnetic radiation assessment of the communication base station. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0043] Figure 1 This is a flow chart of the environmental electromagnetic radiation detection method according to the first embodiment of the present application;

[0044] Figure 2 This is a schematic diagram of the principle of the environmental electromagnetic radiation detection system according to the first embodiment of the present application;

[0045] Figure 3 Schematic diagram of the attenuation factor calculation process for region 1 in Example 1 of the present application. DETAILED DESCRIPTION

[0046] The following will clearly and completely describe the technical solutions of this application in conjunction with the embodiments. Obviously, the embodiments described are only a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0047] As a next-generation wireless mobile communication network, 5G networks will enable widespread connectivity with a completely new network architecture, delivering peak rates at least ten times faster than 4G, millisecond-level latency, and the ability to connect hundreds of billions of devices. One of the key technical characteristics of 5G technology is its use of higher signal frequencies. This reduces the signal coverage area of ​​communication base stations, significantly increasing the number of base stations and raising concerns about electromagnetic radiation.

[0048] Communication base stations undergo electromagnetic radiation testing both before and after official operation. Traditional testing methods use the communication base station as the starting point and set up testing points at regular intervals to determine whether the electromagnetic radiation at each testing point exceeds the standard. Because electromagnetic radiation changes are non-linear, setting testing points at regular intervals without data support is difficult to meet electromagnetic radiation testing requirements. To address this issue, this application provides the following technical solutions.

[0049] Example 1:

[0050] See also Figure 1-Figure 2 , a first aspect embodiment of the present application provides an environmental electromagnetic radiation detection system for a communication base station, comprising: a data processing center, and a point selection module connected thereto;

[0051] Data processing center: used to obtain environmental data within the coverage area of ​​the communication base station, build a regional environmental model of the coverage area based on the environmental data; and divide the coverage area into several sub-areas, calculate the attenuation factors of electromagnetic radiation corresponding to the several sub-areas based on the regional environmental model; and calculate the simulated radiation values ​​of the several sub-areas based on the attenuation factors and radiation prediction values;

[0052] Point selection module: used to compare the simulated radiation value of each sub-area with the radiation threshold, select several sub-areas as target areas based on the comparison results, and set detection points in the target area to detect the corresponding electromagnetic radiation power density.

[0053] In this embodiment, the data processing center and the point selection module are in communication and / or electrically connected. The data processing center is primarily responsible for processing various collected data and predicting the electromagnetic radiation values ​​of each sub-area within the coverage area of ​​the communication base station. The point selection module then compares the electromagnetic radiation (power density) of each sub-area with the radiation threshold to determine which sub-areas have excessive electromagnetic radiation and which are close to exceeding the standard. These areas are designated as key areas and are then tested for electromagnetic radiation.

[0054] In this embodiment, the coverage area of ​​the communication base station is a spatial area, and the coverage area is divided to obtain several sub-areas in order to achieve refined analysis and detection. The number of sub-areas depends on the volume of the sub-areas. For example, if the coverage area is a cylindrical three-dimensional space with the center of the communication base station as the origin, a horizontal radius of 100 meters, and a vertical height of 100 meters, and a unit volume of 1 cubic meter as the volume size of the sub-area, then the coverage area of ​​the communication base station is divided into 3141593 sub-areas. Of course, the coverage area of ​​the communication base station can also be divided according to various other needs, which are not limited here.

[0055] The key concept of this embodiment is that electromagnetic waves from a communication base station are affected by various environmental factors along the transmission path during transmission. The point closest to the communication base station does not necessarily experience the highest electromagnetic radiation. Similarly, points farther away may experience greater electromagnetic radiation than closer points. Based on this, this embodiment models the environment in the area covered by the communication base station to identify which environmental factors in that area affect electromagnetic wave transmission and at which points this influences electromagnetic wave transmission.

[0056] This embodiment first constructs a regional environmental model of the coverage area based on the environmental data, which mainly includes the following steps:

[0057] Before building a regional environmental model, it is necessary to collect environmental data of the covered area. This environmental data can be obtained through drone scanning, remote sensing image recognition, etc., or it can be extracted based on regional planning drawings;

[0058] Determine the environmental factors that affect electromagnetic wave transmission. These environmental factors mainly refer to environmental factors such as buildings and vegetation (especially trees) that will block electromagnetic wave transmission. Environmental factors are mainly determined manually, but can also be determined through data analysis of historical data.

[0059] After determining the environmental factors, the attribute data of the corresponding environmental factors are extracted from the environmental data and marked as target data. The target data mainly includes location coordinates, shape and height, etc., which are used to measure the relative relationship with the communication base station;

[0060] The target data is pre-processed and the modeling software is used to construct a regional environmental model of the coverage area corresponding to the communication base station.

[0061] Next, we will use drones to collect data and give a specific example of building a regional environmental model:

[0062] Data Collection: Use drones equipped with high-resolution cameras and LiDAR equipment to scan the coverage area of ​​communication base stations. Use the high-resolution camera to capture multi-angle photos, and use the LiDAR to obtain 3D point cloud data of terrain and buildings. Import the captured photos and point cloud data into data processing software such as Pix4D or Agisoft Metashape for stitching and correction to obtain environmental data.

[0063] Identify environmental factors: Collect historical electromagnetic wave transmission data, including signal strength, transmission distance, and obstacle locations. Use statistical analysis methods (such as regression analysis and cluster analysis) to determine which environmental factors have the greatest impact on electromagnetic wave transmission. Identify the environmental factors in the environmental data and extract their attribute data as target data for subsequent use.

[0064] Data preprocessing: denoising, missing value filling, data standardization and other processing are performed on the target data, and then the geographic coordinates (longitude, latitude) are converted into plane coordinates, and the polygon shape is converted into a standard format for processing by the modeling software.

[0065] Constructing a regional environmental model: Target data (location, coordinates, shape, etc.) is imported into modeling software (ArcGIS, QGIS, etc.) to generate a regional environmental model. From this regional environmental model, the environmental factors and their attribute data that affect electromagnetic wave transmission at communication base stations can be identified and extracted.

[0066] After building the regional environmental model, data is extracted from the regional environmental model to determine the attenuation factor for each sub-region. Figure 3 , the calculation process of the attenuation factor refers to the following steps:

[0067] Based on the regional environmental model, a simulated scan is performed starting from the communication base station. During the simulated scan, it is determined whether the sub-region is blocked by environmental elements. If so, the type of the corresponding sub-region is marked as region 1; otherwise, the type of the corresponding sub-region is marked as region 2.

[0068] Attribute data corresponding to environmental factors affecting area one are extracted from the regional environment and associated with area one; the attribute data associated with area one are integrated and input into the attenuation assessment model to obtain the attenuation factor.

[0069] During the simulated scanning process, the communication base station is used as the starting point, and each sub-area is used as the scanning target. If a sub-area is blocked by environmental factors during the simulated scanning, the sub-area is marked as area one. If it is not blocked, the sub-area is marked as area two. Being blocked will affect the transmission of electromagnetic waves, that is, it will affect the electromagnetic radiation intensity of the corresponding sub-area. The scanning simulation can clarify which sub-areas will be affected. It should be noted that in this embodiment, whether the sub-area is blocked during the simulation process is used as the sub-area division condition, and blocking includes partial blocking and complete blocking.

[0070] In some other preferred embodiments, when a sub-region is partially blocked, the sub-region can be marked by adjusting the size of the sub-region, that is, by adjusting the size of the sub-region (or redividing the sub-region), the unblocked part of the sub-region is designated as region two, and the blocked part is designated as region one.

[0071] After marking all sub-regions, attribute data corresponding to the environmental factors affecting Region 1 is extracted from the regional environmental model. This attribute data is then integrated into the attenuation assessment model to calculate the attenuation factor for the corresponding sub-region. The integration of attribute data can be found in the subsequent construction of the attenuation assessment model. The attenuation factor represents the electromagnetic radiation loss rate corresponding to the sub-region. The radiation generated by the communication base station is combined with this electromagnetic radiation loss rate to calculate the simulated radiation value for the corresponding sub-region.

[0072] The attenuation assessment model is trained based on existing artificial intelligence models. The reference artificial intelligence models mainly include BP neural network model, RBF neural network model, etc. The most basic three-layer results can be used. The training process of the attenuation assessment model is explained as follows:

[0073] Extract a training dataset; this dataset can be obtained from a third-party data platform or through actual simulation. Each piece of training data in the training dataset includes environmental factors and their attribute data between the communication base station and a certain area, as well as the attenuation factor corresponding to the area.

[0074] The training data set is integrated, and the environmental factors and their attribute data of each training data are specifically extracted. The influence coefficients of the environmental factors are calculated in order from near to far from the communication base station, and the influence coefficients are integrated into a data cell with the location and factor type of the environmental factor. The data cells of each environmental factor are arranged in the order of calculation of the influence coefficients and integrated into a data sequence (each data sequence contains multiple data cells) as the model input data, and the attenuation factor in the training data is used as the model output data. According to this process, the training data set can be integrated into data that can be used for artificial intelligence model training. The data processing process necessary for model training, such as normalization, will not be repeated here.

[0075] The aforementioned influence coefficient can be understood as the impact of a single environmental factor on electromagnetic wave transmission, such as the effects of buildings and tall trees. The influence coefficient can be defined as the effect of environmental factors on the degree of electromagnetic wave attenuation and can be obtained through laboratory measurements. Because the influence coefficient varies depending on the distance between the environmental factor and the communication base station, the location of the sub-region is also taken into account when constructing the data sequence to improve the accuracy of AI model training. It should be noted that the distance between the environmental factor and the communication base station also needs to be considered when obtaining the influence coefficient.

[0076] Next, the simulated radiation values ​​of several sub-areas are calculated based on the attenuation factor and the radiation prediction value. The radiation prediction value refers to the electromagnetic radiation (power density) of the sub-area without the influence of environmental factors, and the simulated radiation value refers to the electromagnetic radiation (power density) of the sub-area taking into account the influence of environmental factors. The calculation of the simulated radiation value can refer to the following steps:

[0077] The equivalent isotropic radiated power of the corresponding sub-area is calculated based on the base station parameters of the communication base station, and the equivalent isotropic radiated power is converted into a radiation prediction value of the sub-area; the simulated radiation value is calculated based on the radiation prediction value and the attenuation factor of the sub-area.

[0078] Base station parameters, including transmit power, antenna gain, and the distance between the sub-area and the communication base station, are used to calculate the equivalent isotropically radiated power (EITR) of the sub-area. The calculation process for EITR is as follows:

[0079] Mark the sub-region as i; where i is a positive integer;

[0080] EIRP by formula i =P i ×G i Calculate the equivalent isotropic radiated power (EIRP) of a communication base station i Among them, P i is the transmission power, G i is the antenna gain;

[0081] By formula Calculate the radiation prediction value S i ; Among them, d i is the spatial distance between sub-area i and the communication base station; HLB is the traffic label, which defaults to 1, α is the impact factor, and α increases with the increase of HLN; L atm Atmospheric loss.

[0082] The above-mentioned impact factor α is a dimensionless coefficient used to describe the degree of influence of traffic volume on radiation intensity. This coefficient can be determined through experiments or actual data. When the traffic volume is high, the value of α will be larger, indicating a greater increase in radiation intensity; when the traffic volume is low, the value of α will be smaller, indicating a smaller increase in radiation intensity. Atmospheric loss L atm The method provided in this application is mainly to determine whether the electromagnetic radiation generated by the communication base station exceeds the standard. The traffic volume is calculated based on the maximum volume and the atmospheric loss is calculated based on the minimum volume.

[0083] Equivalent isotropically radiated power (EIRP), also known as effective isotropically radiated power, is a common concept in radio communications. It refers to the radiated power of a satellite or ground station antenna in a specified direction. Ideally, it is equal to the transmit power of the antenna amplifier multiplied by the antenna gain.

[0084] For area 1, after calculating the corresponding radiation prediction value, it is necessary to combine the radiation prediction value with the attenuation factor to calculate the corresponding simulated radiation value. The simulated radiation value can be understood as the electromagnetic radiation intensity predicted when the sub-area is blocked by environmental elements.

[0085] It's worth noting that before calculating the attenuation factors, the sub-regions were labeled: some as Region 1 and others as Region 2. The aforementioned solution only calculated the attenuation factor for Region 1, not for Region 2. In fact, the radiation predictions already account for the impact of traffic volume and atmospheric conditions, effectively accounting for the attenuation of each sub-region without environmental obstruction. Therefore, the radiation prediction for Region 2 is the simulated radiation value.

[0086] When the simulated radiation value (predicted electromagnetic radiation intensity) of a sub-area is large, it does not mean that the corresponding location is necessarily unqualified. The activities engaged in by each sub-area are different, and the corresponding radiation thresholds are different. Therefore, it is necessary to compare the simulated radiation values ​​of each sub-area with the radiation thresholds. Specifically, the radiation threshold corresponding to each sub-area is extracted; the simulated radiation value of each sub-area is subtracted from the radiation threshold to obtain the comparison result.

[0087] It is worth noting that when calculating the radiation prediction value, the traffic volume is calculated according to the maximum value and the atmospheric loss is calculated according to the minimum value. Then, the comparison result between the radiation prediction value and the radiation threshold is likely to be greater than 0.

[0088] The radiation threshold is the maximum allowable electromagnetic radiation level for a sub-area, and is set based on the activities within the sub-area. For example, if a sub-area corresponds to a school, hospital, university laboratory, or residential area, different sub-areas will have different radiation thresholds. Therefore, a higher comparison result indicates that the sub-area should be tested for electromagnetic radiation more frequently. Target areas are determined based on the comparison results, and testing points are then set within these target areas.

[0089] This embodiment constructs a regional environmental model of the communication base station radiation area based on environmental data. Through simulated scanning, the sub-areas are divided into Area 1 and Area 2. Based on environmental factor and attribute data, an attenuation assessment model is used to calculate the attenuation factor for Area 1, and then the simulated radiation values ​​for each sub-area are calculated. The simulated radiation values ​​are compared with corresponding radiation thresholds to determine the target area, and detection points are set in the target area to detect electromagnetic radiation. This embodiment analyzes the impact of environmental factors on electromagnetic radiation in each sub-area, combines them with radiation prediction values, accurately calculates the simulated radiation values ​​for each sub-area, and then sets detection points based on the simulated radiation values. Through reasonable pre-analysis, appropriate target areas are selected to improve the accuracy of electromagnetic radiation assessments for communication base stations.

[0090] Example 2: Based on Example 1, this example provides a method for determining a target area to improve the rationality of setting detection points. Specific reference is made to the following scheme:

[0091] Based on the comparison results, several sub-regions are selected as target regions, including:

[0092] According to the comparison results, several sub-regions are sorted from large to small to obtain a region sequence; the sub-regions in the region sequence whose comparison results are greater than 0 are used as target region 1, and several sub-regions are selected from the sub-regions in the region sequence excluding target region 1 according to a set ratio as target region 2; the target region 1 and the target region 2 are merged to obtain the target region.

[0093] If the comparison result is greater than 0, it means that the electromagnetic radiation in the corresponding sub-area may exceed the standard. If the comparison result is less than 0 and the closer it is to 0, it means that the electromagnetic radiation in the corresponding sub-area is at risk of exceeding the standard. If the comparison result is far less than 0, it means that there is no need to test the corresponding sub-area.

[0094] The above-mentioned set ratio can be set to 20% of target area 1. That is, according to the set ratio, the sub-area in the area sequence excluding target area 1 and with the comparison result closest to 0 is selected as target area 2. Target areas 1 and 2 are combined to obtain the target area. Testing points are set in the target area to conduct electromagnetic radiation testing, and the test results are used to determine whether the standard is exceeded.

[0095] It should be noted that the target area 1 may not exist, that is, the comparison results of all sub-areas are less than 0. In this case, the set ratio can be set to a default value, such as 20%, and the target area 2 selected according to the set ratio can be used as the target area.

[0096] In another preferred embodiment, the set ratio is set according to the number of target areas 1. The selection method of target area 2 includes:

[0097] According to the comparison results, the target region 1 is selected as the auxiliary region in descending order; at least one subregion is matched for the auxiliary region from the subregions of the region sequence except the target region 1, and the subregion is marked as the target region 2.

[0098] This embodiment is equivalent to matching each target area 1 with a target area 2. The matching rule is that target area 2 is located on the line connecting the communication base station and the auxiliary area. Target area 2 should select the sub-area on the line connecting the communication base station and the auxiliary area with the largest comparison result as target area 2. The comparison result corresponding to target area 2 should not be greater than 0.

[0099] Detection points are set up in the target area to detect and obtain the electromagnetic radiation power density; or, a path is planned according to the location of the target area, and the electromagnetic radiation power density of the target area is detected in sequence based on the planned path. It should be noted that some detection points may not be able to be manually arranged with detection instruments, and detection instruments can be arranged by drones or other means; as long as they are not residential areas, schools, hospitals and other areas with human activities, detection points that cannot be manually arranged with detection instruments can also be ignored.

[0100] This embodiment selects target area 1 from the sub-areas based on the comparison results, combines target area 1 with the matching principle to determine target area 2, and finally merges target area 1 and target area 2 to generate the target area. This embodiment's solution can select more typical sub-areas with more reasonable coverage to evaluate the electromagnetic radiation of communication base stations.

[0101] See also Figure 1 The second embodiment of the present application provides an environmental electromagnetic radiation detection method for a communication base station, comprising:

[0102] Acquire environmental data within the coverage area of ​​the communication base station and construct a regional environmental model of the coverage area based on the environmental data; divide the coverage area into several sub-areas and calculate the attenuation factors of electromagnetic radiation corresponding to the several sub-areas based on the regional environmental model; wherein the attenuation factors represent the electromagnetic radiation loss rate corresponding to the sub-areas;

[0103] The simulated radiation values ​​of several sub-areas are calculated based on the attenuation factor and the radiation prediction value; the simulated radiation values ​​of each sub-area are compared with the radiation threshold, and several sub-areas are selected as target areas based on the comparison results. Detection points are set in the target areas to detect the corresponding electromagnetic radiation power density.

[0104] The above embodiments are only used to illustrate the technical method of the present application and are not intended to limit it. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present application.

Claims

1. An environmental electromagnetic radiation detection system for a communication base station, characterized in that: include: Data processing center, and the point selection module connected to it; Data processing center: used to obtain environmental data within the coverage area of ​​the communication base station and build a regional environmental model of the coverage area based on the environmental data; as well as, Dividing the coverage area into a plurality of sub-areas, and calculating attenuation factors of electromagnetic radiation corresponding to the plurality of sub-areas based on the regional environment model; Calculating simulated radiation values ​​of the plurality of sub-regions according to the attenuation factor and the radiation prediction value; wherein the attenuation factor represents the electromagnetic radiation loss rate corresponding to the sub-region; Point selection module: used to compare the simulated radiation value of each sub-area with the radiation threshold, select several sub-areas as target areas according to the comparison results, and set detection points in the target areas to detect the corresponding electromagnetic radiation power density; Constructing a regional environmental model of the coverage area based on the environmental data includes: Determine environmental factors that affect electromagnetic wave transmission, extract attribute data corresponding to the environmental factors from the environmental data, and mark them as target data; wherein the target data includes position coordinates, shape, and height; Preprocessing the target data, and using modeling software to construct a regional environmental model of the corresponding coverage area of ​​the communication base station; wherein the preprocessing includes correction, registration, filtering or format conversion; Calculating attenuation factors of electromagnetic radiation corresponding to the plurality of sub-areas based on the regional environment model includes: Based on the regional environmental model, a simulated scan is performed with the communication base station as the starting point; during the simulated scan, it is determined whether the sub-region is blocked by the environmental elements; if so, the type of the corresponding sub-region is marked as region one; otherwise, the type of the corresponding sub-region is marked as region two; Attribute data corresponding to environmental factors affecting area one are extracted from the regional environment and associated with area one; the attribute data associated with area one are integrated and input into an attenuation assessment model to obtain an attenuation factor; wherein the attenuation assessment model is obtained based on artificial intelligence model training.

2. The environmental electromagnetic radiation detection system for a communication base station according to claim 1, characterized in that: Calculating simulated radiation values ​​of the plurality of sub-areas according to the attenuation factor and the radiation prediction value includes: Calculating the equivalent isotropically radiated power corresponding to the sub-area based on base station parameters of the communication base station, and converting the equivalent isotropically radiated power into a radiation prediction value for the sub-area; wherein the base station parameters include transmit power, antenna gain, and the distance between the sub-area and the communication base station; A simulated radiation value is calculated based on the radiation prediction value and the attenuation factor of the sub-region.

3. The environmental electromagnetic radiation detection system for a communication base station according to claim 2, characterized in that: Converting the equivalent isotropically radiated power into a radiation prediction value for the sub-area includes: Mark the sub-region as i; wherein i is a positive integer; EIRP by formula i =P i ×G i Calculate the equivalent isotropic radiated power EIRP of the communication base station i Among them, P i is the transmission power, G i is the antenna gain; By formula Calculate the radiation prediction value S i ; Among them, d i is the spatial distance between sub-area i and the communication base station; HLB is the traffic label, which defaults to 1, α is the impact factor, and α increases with the increase of HLB; L atm Atmospheric loss.

4. The environmental electromagnetic radiation detection system for a communication base station according to claim 3, characterized in that: Comparing the simulated radiation value of each of the sub-areas with a radiation threshold value includes: Extracting a radiation threshold corresponding to each of the sub-areas; wherein the radiation threshold is the maximum value of electromagnetic radiation allowed in the sub-area, and the radiation threshold is set according to the activities carried out in the sub-area; The simulated radiation value of each sub-region is subtracted from the radiation threshold to obtain a comparison result.

5. The environmental electromagnetic radiation detection system for a communication base station according to claim 4, characterized in that: Based on the comparison results, several sub-regions are selected as target regions, including: Sort the sub-regions from largest to smallest according to the comparison results to obtain a region sequence; The subregions in the region sequence whose comparison results are greater than 0 are used as target regions 1, and a number of subregions in the region sequence excluding the target region 1 are selected as target regions 2 according to a set ratio; wherein the set ratio is set according to the number of target regions 1; The target area 1 and the target area 2 are merged to obtain a target area.

6. The environmental electromagnetic radiation detection system for a communication base station according to claim 5, characterized in that: The method for selecting the second target area includes: Selecting target area 1 as the auxiliary area in descending order according to the comparison results; At least one sub-region is matched for the auxiliary region from the sub-regions of the region sequence except the target region 1, and the sub-region is marked as the target region 2; wherein the matching principle is that the target region 2 is located on the line connecting the communication base station and the auxiliary region.

7. The environmental electromagnetic radiation detection system for a communication base station according to claim 1, characterized in that: Setting detection points in the target area to detect corresponding electromagnetic radiation power density includes: Setting detection points in the target area to detect and obtain electromagnetic radiation power density; or, Path planning is performed according to the location of the target area, and the electromagnetic radiation power density of the target area is detected in sequence based on the planned path.

8. A method for detecting environmental electromagnetic radiation for a communication base station, based on the environmental electromagnetic radiation detection system for a communication base station according to any one of claims 1 to 7, characterized in that: include: Acquiring environmental data within a coverage area of ​​a communication base station and constructing a regional environmental model of the coverage area based on the environmental data; dividing the coverage area into a plurality of sub-areas and calculating attenuation factors of electromagnetic radiation corresponding to the plurality of sub-areas based on the regional environmental model; wherein the attenuation factors represent electromagnetic radiation loss rates corresponding to the sub-areas; The simulated radiation values ​​of the plurality of sub-areas are calculated based on the attenuation factor and the radiation prediction value; the simulated radiation value of each sub-area is compared with the radiation threshold, and a plurality of sub-areas are selected as target areas based on the comparison results, and detection points are set in the target areas to detect the corresponding electromagnetic radiation power density.

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