A method for constructing a regional radiometer data table for easy inquiry

Abstract

The present application relates to the technical field of data processing, in particular to a kind of regional radiometer data table construction method of convenient inquiry.Method comprising: obtaining the radiation intensity of different positions in each sub-region in radiation region;According to the difference between the radiation intensity of different positions in each sub-region and the discrete distribution characteristics of radiation intensity, obtain radiation smooth factor, combine the radiation intensity distribution difference of each position and its adjacent position in each sub-region and the radiation intensity distribution of all positions in sub-region, determine the radiation source range corresponding to each position in each sub-region;According to the intersection of the radiation source range corresponding to different positions in each sub-region, obtain the radiation source differentiation degree of each sub-region;According to the radiation source differentiation degree, sub-region is handled, and the radiation source differentiation degree of each aggregation region is obtained;According to the size of the radiation source differentiation degree of aggregation region, data table is constructed.The data table constructed by the present application can reflect the dynamic process of radiation field evolution.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and specifically to a method for constructing a regional radiometer data table that facilitates querying. Background Technology

[0002] A regional radiation meter data sheet is a tabular format used to store and manage radiation monitoring data. It records radiation data measured at a specific area or location, including information such as radiation intensity, measurement time, monitoring point code, and radiation type. The main purpose of constructing regional radiation data sheets is to improve the efficiency of analyzing the regional radiation environment and managing radiation dose.

[0003] Existing technologies construct a radiation field by combining radiation metrology data from various locations within the detected area. This radiation field is updated using new detection data. Radiation clusters are divided based on differences in radiation dose between regions, and a radiation data table is built by combining the locations of these regions, allowing for the extraction of verification results. However, the validity of the radiation data query depends heavily on the accuracy and efficiency of data acquisition and updates. Therefore, the query results tend to be static, lacking a dynamic representation of the radiation field's evolution, and thus offer limited insight into the real-time radiation environment at specific locations. Summary of the Invention

[0004] To address the issue of existing methods lacking dynamic processes of radiation field evolution in regional radiometer data tables, this invention aims to provide a method for constructing regional radiometer data tables that facilitates querying. The specific technical solution adopted is as follows:

[0005] This invention provides a method for constructing a regional radiometer data table that facilitates querying. The method includes the following steps:

[0006] Obtain the radiation intensity at different locations within each sub-region of the radiation area;

[0007] Based on the differences in radiation intensity between different locations within each sub-region and the discrete distribution characteristics of radiation intensity, the radiation stability factor of each sub-region is obtained; based on the differences in radiation intensity distribution between each location and its adjacent locations within each sub-region, the radiation intensity distribution of all locations within the sub-region, and the radiation stability factor, the radiation source range corresponding to each location within each sub-region is determined.

[0008] Based on the intersection of radiation source ranges corresponding to different locations within each sub-region, the radiation source distinguishability of each sub-region is obtained; the sub-regions are merged according to the radiation source distinguishability to obtain each clustered region and its radiation source distinguishability; a query tree for each clustered region in the radiation region is constructed based on the magnitude of the radiation source distinguishability of the clustered regions.

[0009] A data table is constructed based on the radiation data of the corresponding region using the query tree.

[0010] Preferably, obtaining the radiation stability factor of each sub-region based on the differences in radiation intensity between different locations within each sub-region and the discrete distribution characteristics of radiation intensity includes:

[0011] For any subregion:

[0012] Obtain the difference sequence of the radiation intensity sequence of any sub-region, wherein the radiation intensity sequence is obtained by sorting the radiation intensity of all positions according to the position order of different points within any sub-region;

[0013] The radiation stability factor of any sub-region is obtained based on the difference between each difference value in the difference sequence and the average of all difference values, as well as the dispersion of radiation intensity at all locations in any sub-region.

[0014] Preferably, the dispersion of radiation intensity at all locations in any sub-region is the standard deviation of radiation intensity at all locations in any sub-region.

[0015] Preferably, determining the radiation source range corresponding to each location within each sub-region based on the difference in radiation intensity distribution between each location and its adjacent locations within each sub-region, the radiation intensity distribution of all locations within the sub-region, and the radiation stability factor includes:

[0016] For any subregion:

[0017] The position with the highest radiation intensity among the position to be analyzed and its adjacent positions in any sub-region is taken as the first starting point, and the position with the lowest radiation intensity among the position to be analyzed and its adjacent positions in any sub-region is taken as the first ending point. The vector from the first starting point to the first ending point is recorded as the local radiation vector of the position to be analyzed.

[0018] The location with the highest radiation intensity in any sub-region is taken as the second starting point, the location to be analyzed is taken as the second ending point, and the vector from the second starting point to the second ending point is recorded as the range radiation vector of the location to be analyzed.

[0019] By combining the local radiation vector, the range radiation vector, and the radiation stability factor of any sub-region, the radiation source range corresponding to the location to be analyzed is determined.

[0020] The location to be analyzed is any location within any sub-region.

[0021] Preferably, determining the radiation source range corresponding to the location to be analyzed by combining the local radiation vector, the range radiation vector, and the radiation stability factor of any sub-region includes:

[0022] Calculate the radiation stability factor of any sub-region and The first product is rounded up to half of the first product and recorded as the first feature angle.

[0023] Using the second starting point as the rotation center, the radiation vector of the location to be analyzed is rotated clockwise by the first characteristic angle and counterclockwise by the first characteristic angle, respectively. The two vectors obtained after rotation are extended, and the line segment between the intersection of the two extended lines and the extension of the local radiation vector is taken as the radiation source range corresponding to the location to be analyzed.

[0024] Preferably, the step of obtaining the radiation source discrimination of each sub-region based on the intersection of radiation source ranges corresponding to different locations within each sub-region includes:

[0025] For any subregion:

[0026] The frequency of each point in the radiation source range corresponding to all locations within any sub-region is counted. The ratio between the number of points with a frequency of 1 and the number of points with a frequency greater than 1 is recorded as the first ratio.

[0027] Points with frequencies greater than a preset frequency threshold are recorded as target superposition intersections; the average distance between all pairs of target superposition intersections is calculated; the number of target superposition intersections is weighted using the average distance, and the ratio between the weighted result and the total number of points in the radiation source range corresponding to all locations in any sub-region is recorded as the second ratio.

[0028] The radiation source differentiation of any sub-region is obtained based on the first ratio and the second ratio.

[0029] Preferably, obtaining the radiation source discrimination of any sub-region based on the first ratio and the second ratio includes:

[0030] The normalized value of the product between the first ratio and the second ratio is determined as the radiation source discrimination of any sub-region.

[0031] Preferably, the step of merging sub-regions based on the radiation source differentiation to obtain each clustered region includes:

[0032] For any sub-region, if the radiation source differentiation of its adjacent sub-region is greater than a preset differentiation threshold, the adjacent sub-region is merged with the any sub-region, and the connected domains obtained after merging are recorded as each cluster region.

[0033] Preferably, constructing a query tree for each cluster within a radiation region based on the degree of differentiation of radiation sources within the clustered regions includes:

[0034] A Huffman tree is constructed according to the radiation source discrimination from largest to smallest, serving as the query tree for each cluster region in the radiation area.

[0035] Preferably, the step of constructing a data table based on the radiation data of the corresponding region using the query tree includes:

[0036] Assign a unique identifier to each cluster region. By traversing the query tree using the identifier's mark in the corresponding cluster region, obtain the index code for different cluster regions. Construct a data table from the data of the cluster region corresponding to a single identifier using the index code.

[0037] The present invention has at least the following beneficial effects:

[0038] This invention first obtains the radiation stability factor for each sub-region based on the differences in radiation intensity and the discrete distribution characteristics of radiation intensity between different locations within each sub-region of the radiation area. Then, it estimates the radiation source range corresponding to each location within the sub-region based on radiation characteristics. Next, it evaluates the radiation source distinguishability of each sub-region based on the intersection of radiation source ranges corresponding to different locations within each sub-region, merges the sub-regions, and then constructs a radiometer data table. The data table constructed by the method provided by this invention, while maintaining simplicity, can reflect the dynamic process of radiation field evolution, effectively representing the real-time radiation environment at specific locations, and also improves data query efficiency. Attached Figure Description

[0039] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a flowchart illustrating a method for constructing a regional radiometer data table that facilitates querying, as provided in an embodiment of the present invention. Detailed Implementation

[0041] To further illustrate the technical means and effects adopted by the present invention to achieve the intended purpose, the following detailed description, in conjunction with the accompanying drawings and preferred embodiments, describes a method for constructing a regional radiometer data table that is easy to query, based on the present invention.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0043] The following description, in conjunction with the accompanying drawings, details a specific scheme for constructing a regional radiometer data table that facilitates easy querying, provided by the present invention.

[0044] An example of a method for constructing a regional radiometer data table that facilitates querying:

[0045] This embodiment proposes a method for constructing a regional radiometer data table that facilitates easy querying, such as... Figure 1 As shown, a method for constructing a convenient regional radiometer data table in this embodiment includes the following steps:

[0046] Step S1: Obtain the radiation intensity at different locations within each sub-region of the radiation area.

[0047] In this embodiment, an unmanned inspection vehicle is first deployed, and a radiation monitoring instrument is installed on it. The vehicle is then activated to monitor the radiation area and obtain the radiation intensity at various locations. The radiation meter is deployed on the unmanned inspection vehicle, which can be an AGV, drone, or other unmanned automated control device, eliminating the need for human inspection and avoiding excessive human exposure to radiation. The radiation meter is mounted on the unmanned vehicle as an inspection device. Since the radiation area is large, the unmanned vehicle and radiation meter are relatively small compared to the vehicle, and can be considered a monitoring point within the radiation area. The unmanned vehicle moves within the radiation area, and the radiation meter collects radiation data at the locations it passes through. The entire radiation area is divided into several equally sized sub-regions. The wireless positioning device and map building unit installed on the unmanned vehicle then collect the radiation intensity at different locations within each sub-region. The devices on the unmanned vehicle transmit the real-time collected data back to the central server via wireless signals for subsequent analysis. The size of the sub-regions is set by the implementer according to specific circumstances; this embodiment will not elaborate further. The driving speed of the autonomous vehicle and the frequency of radiation data collection are set by the implementer according to the specific circumstances, which will not be elaborated on here.

[0048] After the radiation intensity data acquisition is completed, considering that the raw radiation intensity data is affected by measurement noise and local environmental radiation, and that the radiation verification process depends on the number of radioactive objects in the area, and that the intensity of rays radiated outward from these objects is continuous, the moving average method is more suitable. First, the radiation data collected at the locations visited by the unmanned vehicle are arranged in the order they passed through to obtain a radiation data sequence. Then, the moving average method is used, and the radiation data sequence is processed through a window of length 7 to obtain smoothed radiation data. It should be noted that, unless otherwise specified, all radiation data mentioned thereafter refers to radiation data processed using the moving average method. The moving average method is existing technology and will not be elaborated upon further in this embodiment.

[0049] Thus, this embodiment has obtained the radiation intensity at different locations within each sub-region of the radiation area.

[0050] Step S2: Based on the differences in radiation intensity between different locations within each sub-region and the discrete distribution characteristics of radiation intensity, obtain the radiation stability factor of each sub-region; based on the differences in radiation intensity distribution between each location and its adjacent locations within each sub-region, the radiation intensity distribution of all locations within the sub-region, and the radiation stability factor, determine the radiation source range corresponding to each location within each sub-region.

[0051] As the autonomous vehicle moves from one sub-region to another, sensors continuously read radiation intensity information, thus demonstrating the radiation homogeneity exhibited in the multiple transmissions of information within the radiation region. This is reflected in the autonomous vehicle identifying the radiation data trend direction within the current sub-region. By extending this trend direction between different sub-regions, the radiation center sub-region is extracted. Furthermore, the consistency of the estimated range of the radiation center across different sub-regions is used to divide the radiation scale corresponding to different radiation centers. Finally, the differences in radiation scale between radiation centers are used to merge sub-regions, thereby demonstrating the dynamic generation process of regional radiation data and simplifying the radiation region table based on the radiation conditions of different sub-regions.

[0052] The distribution of radiation data acquired in a sub-region reflects the radiation fluctuations exhibited in that sub-region. Therefore, the performance of radiation monitoring in a single sub-region can be judged by the uniformity of radiation variation within the sub-region.

[0053] The following embodiment uses a sub-region as an example for explanation. Other sub-regions can be processed using the method provided in this embodiment.

[0054] Specifically, for any sub-region:

[0055] Following the chronological order of the radiation intensity data collected by the unmanned vehicle, all radiation intensities within the sub-region are sorted to obtain a radiation intensity sequence for that sub-region. Next, the difference sequence of the radiation intensity sequence for that sub-region is calculated. Based on the difference between each difference value in the difference sequence and the average of all difference values, as well as the dispersion of radiation intensity at all locations within the sub-region, the radiation stability factor of that sub-region is obtained.

[0056] In this embodiment, the standard deviation of the radiation intensity at all locations in the sub-region is used as the degree of dispersion of the radiation intensity at all locations in the sub-region.

[0057] As a concrete example, the specific formula for calculating the radiation stability factor is given. The radiation stability factor of the s-th sub-region can be expressed as:

[0058]

[0059] in, represents the radiation stability factor of the s-th sub-region; This represents the number of monitoring locations in the s-th sub-region, which is also the number of elements in the radiation intensity sequence of that sub-region. This represents the number of elements in the difference sequence of the radiation intensity sequence of this sub-region; This represents the j-th difference value in the difference sequence. Let represent the average of all difference values ​​in the difference sequence of the radiation intensity sequence of the s-th sub-region. This represents the standard deviation of radiation intensity at all locations in the s-th sub-region. This indicates the preset zero-prevention parameter.

[0060] In this embodiment, a preset zero-prevention parameter is introduced into the calculation formula of the radiation stability factor to prevent the denominator from being 0. In this embodiment, the preset zero-prevention parameter is 0.001. In specific applications, the implementer can set it according to the specific situation.

[0061] The standard deviation reflects the dispersion of radiation intensity across all locations within a sub-region. A larger standard deviation indicates a more dispersed distribution of radiation intensity across different locations within the sub-region in different years, meaning it is less concentrated. The radiation stability factor for the s-th sub-region reflects the concentration of radiation intensity distribution across locations within the s-th sub-region. A larger standard deviation indicates fewer outliers and more neighboring points having radiation intensity differences similar to the mean difference. Furthermore, the fourth power increases the significance of small differences, demonstrating a more stable radiation environment within the sub-region.

[0062] Using the above method, the radiation stability factor of each sub-region within the radiation area can be obtained.

[0063] The radiation stability factor of a sub-region can reflect whether the radiation intensity fluctuation in the sub-region is significant. In this embodiment, the attenuation direction of the radiation intensity in the sub-region will be further extracted. By combining the volatility of the radiation data with the consistency of the radiation source located in the sub-region, the radiation source range between adjacent sub-regions will be superimposed, thereby merging sub-regions with similar radiation sources and maintaining consistency after the radiation table is simplified.

[0064] The following embodiment will still use a sub-region as an example for explanation.

[0065] For any subregion:

[0066] Any location within this sub-region is designated as the location to be analyzed. The location with the highest radiation intensity among the location to be analyzed and its adjacent locations within this sub-region is designated as the first starting point. The location with the lowest radiation intensity among the location to be analyzed and its adjacent locations within this sub-region is designated as the first ending point. The vector pointing from the first starting point to the first ending point is designated as the local radiation vector of the location to be analyzed. The location with the highest radiation intensity within this sub-region is designated as the second starting point. The location to be analyzed is designated as the second ending point. The vector pointing from the second starting point to the second ending point is designated as the range radiation vector of the location to be analyzed.

[0067] Next, by combining the local radiation vector and the range radiation vector, we will determine the consistency of the radiation source for the location to be analyzed within a single sub-region. That is, whether the direction of local radiation change originates from the influence of the location with the maximum radiation intensity in the sub-region. By comparing the consistency between the local radiation vector and the range radiation vector, we can assess the radiation environment disturbance at a single location within the sub-region.

[0068] Specifically, the radiation stability factor of this sub-region is calculated and The product of these terms is denoted as the first product. The first feature angle is the result of rounding up half of the first product. That is, the first feature angle is... The result of rounding up is denoted as the first feature angle.

[0069] Using the second starting point as the center of rotation, the radiation vector of the location to be analyzed is rotated clockwise and counterclockwise by the same first characteristic angle. The two resulting vectors are then extended to obtain two straight lines. The line segment between the intersection of these two extended lines and the extension of the local radiation vector is taken as the radiation source range corresponding to the location to be analyzed. It should be noted that when extending the local radiation vector, both sides are extended.

[0070] Using the above method, the radiation source range corresponding to each location within the sub-region can be obtained.

[0071] Thus, by using the method provided in this embodiment, the radiation source range corresponding to each location in each sub-region within the radiation area has been obtained.

[0072] Step S3: Based on the intersection of radiation source ranges corresponding to different locations within each sub-region, obtain the radiation source discrimination of each sub-region; merge the sub-regions according to the radiation source discrimination to obtain each clustered region and its radiation source discrimination; construct a query tree for each clustered region in the radiation region based on the magnitude of the radiation source discrimination of the clustered regions.

[0073] The higher the overlap of radiation source ranges corresponding to different locations within a sub-region, the stronger the consistency of the radiation sources located in the corresponding sub-region. This indicates that the radiation environment in the current sub-region is less affected by interference, and thus the simplification of the current sub-region has a smaller impact on the error of the regional radiation table.

[0074] When radiation source ranges overlap, intersections occur. These intersections represent a convergence of the radiation source locators from two different locations. The more intersections at a single point, the smaller the locational deviation within the sub-region, and the higher the probability that the current intersection point is the radiation source for any location within that sub-region. Furthermore, for constructing the radiation table, the current sub-region can be further simplified, reducing the amount of data in the table. Since radiation sources within the current sub-region are easier to infer, merging it with other highly accurate sub-regions in the radiation table further simplifies the table's structure and reduces query resource consumption. Therefore, the first step is to filter out highly overlapping intersections among the estimated radiation source ranges from different locations within the sub-region, and then use the distribution deviation of these highly overlapping intersections to determine the sub-region's deviation in locating the radiation source.

[0075] The following explanation will use a sub-region as an example.

[0076] For any subregion:

[0077] The frequency of each point within the radiation source range corresponding to all locations within the sub-region is counted. The ratio between the number of points with a frequency of 1 and the number of points with a frequency greater than 1 is recorded as the first ratio. Points with frequencies greater than a preset frequency threshold are recorded as target superposition intersections. The average distance between all pairwise target superposition intersections is calculated. The number of target superposition intersections is weighted using the average distance, and the ratio between the weighted result and the total number of points within the radiation source range corresponding to all locations within the sub-region is recorded as the second ratio. The weighted result is the product of the average distance and the number of target superposition intersections. Further, the normalized value of the product of the first ratio and the second ratio is determined as the radiation source discrimination index of the sub-region. In this embodiment, the preset frequency threshold is 12. In specific applications, the implementer can set it according to specific circumstances. In this embodiment, when normalizing the product between the first ratio and the second ratio, the hyperbolic tangent function is used for normalization. That is, the product between the first ratio and the second ratio is used as the independent variable of the hyperbolic tangent function, and the calculated hyperbolic tangent function value is used as the normalization result. As another implementation method, other existing data normalization methods can also be used for normalization, which will not be elaborated on here.

[0078] Furthermore, the sub-regions are merged based on the radiation source discrimination. Specifically, if the radiation source discrimination of a sub-region adjacent to the sub-region is greater than a preset discrimination threshold, the adjacent sub-region is merged with the sub-region. Using the above method, the sub-regions can be merged, and the connected components obtained after merging are recorded as each clustered region, that is, multiple clustered regions are obtained.

[0079] After obtaining the clustered areas, the radiation source discrimination of each clustered area is calculated according to the calculation method of the radiation source discrimination of the sub-regions. Since the specific method of the radiation source discrimination of the sub-regions has been explained in detail in the above steps, it will not be repeated here.

[0080] Huffman trees are constructed in descending order of radiation source distinguishability to serve as query trees for each clustered region within the radiation area. The method for constructing Huffman trees is existing technology and will not be elaborated upon here.

[0081] Thus, the query tree has been constructed using the above method.

[0082] Step S4: Construct a data table based on the radiation data of the corresponding region using the query tree.

[0083] In this embodiment, a query tree is constructed in step S3, and the collected data will be stored and a data table will be constructed based on the query tree.

[0084] Specifically, each cluster is assigned an ID, i.e., a unique identifier. This identifier, marking the region within its corresponding cluster, allows users to directly input their current location for radiation status queries. The query tree is traversed, with left nodes set to 0 and right nodes to 1, yielding index codes for different clusters, such as 100, 0101, etc. Data for the clusters corresponding to a single identifier is then stored in a data table constructed using these index codes. When a user inputs the identifier of their current region, the DBMS retrieves the corresponding data table from the primary key table for the user to view. The table structure is shown in the table below.

[0085]

[0086] Thus, the method provided in this embodiment has been used to complete the construction of the radiometer data table.

[0087] This embodiment first obtains the radiation stability factor for each sub-region based on the differences in radiation intensity and the discrete distribution characteristics of radiation intensity between different locations within each sub-region of the radiation area. Then, it estimates the radiation source range corresponding to each location within the sub-region based on radiation characteristics. Next, it evaluates the radiation source distinguishability of each sub-region based on the intersection of radiation source ranges corresponding to different locations within each sub-region, merges the sub-regions, and then constructs the radiometer data table. The data table constructed by the method provided in this embodiment, while maintaining simplicity, can reflect the dynamic process of radiation field evolution, has a good representation of the real-time radiation environment at specific locations, and also improves data query efficiency.

[0088] It should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for constructing a regional radiometer data table that facilitates querying, characterized in that, The method includes the following steps: Obtain the radiation intensity at different locations within each sub-region of the radiation area; Based on the differences in radiation intensity between different locations within each sub-region and the discrete distribution characteristics of radiation intensity, the radiation stability factor of each sub-region is obtained; based on the differences in radiation intensity distribution between each location and its adjacent locations within each sub-region, the radiation intensity distribution of all locations within the sub-region, and the radiation stability factor, the radiation source range corresponding to each location within each sub-region is determined. Based on the intersection of radiation source ranges corresponding to different locations within each sub-region, the radiation source distinguishability of each sub-region is obtained; the sub-regions are merged according to the radiation source distinguishability to obtain each clustered region and its radiation source distinguishability; a query tree for each clustered region in the radiation region is constructed based on the magnitude of the radiation source distinguishability of the clustered regions. A data table is constructed based on the radiation data of the corresponding region using the query tree; The process of obtaining the radiation stability factor for each sub-region based on the differences in radiation intensity between different locations within each sub-region and the discrete distribution characteristics of radiation intensity includes: For any subregion: Obtain the difference sequence of the radiation intensity sequence of any sub-region, wherein the radiation intensity sequence is obtained by sorting the radiation intensity of all positions according to the position order of different points within any sub-region; The radiation stability factor of any sub-region is obtained based on the difference between each difference value in the difference sequence and the average value of all difference values, as well as the dispersion of radiation intensity at all locations in any sub-region. Determining the radiation source range corresponding to each location within each sub-region includes: For any subregion: The position with the highest radiation intensity among the position to be analyzed and its adjacent positions in any sub-region is taken as the first starting point, and the position with the lowest radiation intensity among the position to be analyzed and its adjacent positions in any sub-region is taken as the first ending point. The vector from the first starting point to the first ending point is recorded as the local radiation vector of the position to be analyzed. The location with the highest radiation intensity in any sub-region is taken as the second starting point, the location to be analyzed is taken as the second ending point, and the vector from the second starting point to the second ending point is recorded as the range radiation vector of the location to be analyzed. By combining the local radiation vector, the range radiation vector, and the radiation stability factor of any sub-region, the radiation source range corresponding to the location to be analyzed is determined. The location to be analyzed is any location within any sub-region.

2. The method for constructing a regional radiometer data table for easy querying according to claim 1, characterized in that, The dispersion of radiation intensity at all locations in any sub-region is the standard deviation of radiation intensity at all locations in any sub-region.

3. The method for constructing a regional radiometer data table for easy querying according to claim 1, characterized in that, The step of determining the radiation source range corresponding to the location to be analyzed by combining the local radiation vector, the range radiation vector, and the radiation stability factor of any sub-region includes: Calculate the radiation stability factor of any sub-region and The first product is rounded up to half of the first product and recorded as the first feature angle. Using the second starting point as the rotation center, the radiation vector of the location to be analyzed is rotated clockwise by the first characteristic angle and counterclockwise by the first characteristic angle, respectively. The two vectors obtained after rotation are extended, and the line segment between the intersection of the two extended lines and the extension of the local radiation vector is taken as the radiation source range corresponding to the location to be analyzed.

4. The method for constructing a regional radiometer data table for easy querying according to claim 1, characterized in that, The method of obtaining the radiation source differentiation of each sub-region based on the intersection of radiation source ranges corresponding to different locations within each sub-region includes: For any subregion: The frequency of each point in the radiation source range corresponding to all locations within any sub-region is counted. The ratio between the number of points with a frequency of 1 and the number of points with a frequency greater than 1 is recorded as the first ratio. Points with frequencies greater than a preset frequency threshold are recorded as target superposition intersections; the average distance between all pairs of target superposition intersections is calculated; the number of target superposition intersections is weighted using the average distance, and the ratio between the weighted result and the total number of points in the radiation source range corresponding to all locations in any sub-region is recorded as the second ratio. The radiation source differentiation of any sub-region is obtained based on the first ratio and the second ratio.

5. The method for constructing a regional radiometer data table for easy querying according to claim 4, characterized in that, The step of obtaining the radiation source discrimination of any sub-region based on the first ratio and the second ratio includes: The normalized value of the product between the first ratio and the second ratio is determined as the radiation source discrimination of any sub-region.

6. The method for constructing a regional radiometer data table for easy querying according to claim 1, characterized in that, The process of merging sub-regions based on the radiation source differentiation to obtain each clustered region includes: For any sub-region, if the radiation source differentiation of its adjacent sub-region is greater than a preset differentiation threshold, the adjacent sub-region is merged with the any sub-region, and the connected domains obtained after merging are recorded as each cluster region.

7. The method for constructing a regional radiometer data table for easy querying according to claim 1, characterized in that, The process of constructing a query tree for each cluster within a radiation region based on the degree of differentiation of radiation sources within the clustered region includes: A Huffman tree is constructed according to the radiation source discrimination from largest to smallest, serving as the query tree for each cluster region in the radiation area.

8. The method for constructing a regional radiometer data table for easy querying according to claim 1, characterized in that, The construction of a data table based on the radiation data of the corresponding region using the query tree includes: Assign a unique identifier to each cluster region. By traversing the query tree using the identifier's mark in the corresponding cluster region, obtain the index code for different cluster regions. Construct a data table from the data of the cluster region corresponding to a single identifier using the index code.

Images