A method, apparatus and device for determining a radiation field gamma hotspot

Abstract

The present application provides a kind of determination method, device and equipment of radiation field gamma hot spot, method includes: obtaining the radiation signal detection data of at least one group of detection points in a preset range around the position of radiation source in radiation field;According to the radiation signal detection data of the at least one group of detection points, determine the type of radiation source;The radiation signal detection data is input into the target radiation source intensity determination model corresponding to the type of radiation source to judge the intensity of radiation source, obtain the position of radiation field gamma hot spot, and output.The scheme of the present application can efficiently, economically judge the distribution and dose level of radiation field gamma hot spot, so as to reduce the exposure of personnel.

Description

Technical Field

[0001] This invention relates to the field of information processing technology, and in particular to a method, apparatus, and equipment for determining gamma hotspots in a radiation field. Background Technology

[0002] Existing methods for investigating gamma hotspots in radiation fields mainly fall into two categories: one is gamma camera imaging, but this method requires expensive equipment and has high requirements for the imaging environment; the other is field monitoring, which requires a large amount of data, has a long monitoring cycle, is cumbersome in data analysis and processing, and prolonged operation in high radiation fields can easily harm the health of monitoring personnel. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method, apparatus and equipment for determining gamma hotspots in a radiation field, which can efficiently and economically determine the distribution and dose level of gamma hotspots in a radiation field, thereby reducing the exposure of people.

[0004] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows:

[0005] A method for determining gamma hotspots in a radiation field, comprising:

[0006] Acquire radiation signal detection data from at least one set of detection points within a preset range around the location of the radiation source in the radiation field;

[0007] The type of radiation source is determined based on the radiation signal detection data from at least one set of detection points;

[0008] The radiation signal detection data is input into the target radiation source intensity determination model corresponding to the radiation source type to determine the radiation source intensity, obtain the location of the radiation field γ hotspot, and output it.

[0009] Optionally, based on the radiation signal detection data, the type of radiation source is determined, including:

[0010] A radiation signal distribution trend map is drawn based on the radiation signal dose rate represented by the radiation signal detection data of at least one set of detection points and the location of the detection points;

[0011] The type of radiation source is determined based on the radiation signal distribution trend map.

[0012] Optionally, the type of radiation source is determined based on the radiation signal distribution trend map, including:

[0013] If, in the radiation signal distribution trend graph, the isodose rate line is a parabolic distribution with the focal point on the opposite side of the radiation source location, the radiation source type is determined to be a line source.

[0014] If, in the radiation signal distribution trend diagram, the isodose rate line is a parabola distributed on the same side of the focal point and the radiation source location, the radiation source type is determined to be a cylindrical source.

[0015] Optionally, the radiation signal detection data is input into a target radiation source intensity determination model corresponding to the radiation source type to determine the radiation source intensity and obtain the location of the γ-hotspot in the radiation field, including:

[0016] A target radiation source intensity determination model corresponding to the radiation source type is obtained. The target radiation source intensity determination model is a target function obtained by fitting the radiation signal dose rate change function formed by historical detection data from multiple historical detection points and the theoretical function formed by theoretical source intensity data.

[0017] The radiation signal detection data is analyzed using the objective function to determine the location of the γ-hot spot in the radiation field.

[0018] Optionally, the objective function is: f(l,r)=[f1(i,j) / f2(i,j)]*f2(l,r); where f1(l,r) is the radiation signal dose rate change function formed by historical detection data, f1(i,j) is the detection data of a detection point, the position of which is represented as l=li,r=rj; f2(l,r) is the theoretical function formed by theoretical source strength data, and f(l,r) is the objective function.

[0019] or,

[0020]

[0021] A1 represents the activity of the line source; A2 represents the activity of the cylindrical source;

[0022] Γ represents the exposure rate constant;

[0023] L indicates the length (line source) or height (cylindrical source) of the radioactive source;

[0024] r represents the perpendicular distance between the detection point and the axis of the radiation source;

[0025] l represents the distance from the foot of the perpendicular from the detection point to the axis of the radiation source to a fixed endpoint;

[0026] f2(i,j) is the theoretical dose rate value for positions l=li,r=rj;

[0027] Under the same ideal radiation source or near-ideal conditions, f(l,r) is affected by l and r.

[0028] Optionally, the radiation signal detection data is analyzed using the objective function to determine the location of the γ-hotspot in the radiation field, including:

[0029] After fixing the value of l or r, the similarity between the function formed by the radiation signal detection data and the target function is obtained;

[0030] If the similarity is greater than a preset value, the dose rate exceeding the limit in the objective function is determined as the location of the γ hotspot in the radiation field.

[0031] Embodiments of the present invention also provide a device for determining gamma hotspots in a radiation field, comprising:

[0032] The acquisition module is used to acquire radiation signal detection data of at least one set of detection points within a preset range around the location of the radiation source in the radiation field;

[0033] The processing module is used to determine the type of radiation source based on the radiation signal detection data of the at least one set of detection points; input the radiation signal detection data into the target radiation source intensity determination model corresponding to the radiation source type to determine the radiation source intensity, obtain the location of the radiation field γ hotspot, and output it.

[0034] Embodiments of the present invention also provide a computing device, including: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method described above.

[0035] Embodiments of the present invention also provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method described above.

[0036] The above-described solution of the present invention has at least the following beneficial effects:

[0037] The above-described solution of the present invention acquires radiation signal detection data from at least one detection point within a preset range around the location of a radiation source in a radiation field; determines the type of radiation source based on the radiation signal detection data from the at least one detection point; inputs the radiation signal detection data into a target radiation source intensity determination model corresponding to the radiation source type to determine the radiation source intensity, obtains the location of the γ-hotspot in the radiation field, and outputs the result. This allows for the detection of multiple sets of detection points in the radiation field, analysis of data to determine the type of radiation source, selection of a model, and rapid calculation of the distribution and dose level of γ-hotspots in the radiation field through a program. It enables efficient and economical determination of the distribution and dose level of γ-hotspots in the radiation field, thereby reducing radiation exposure to personnel. Attached Figure Description

[0038] Figure 1 This is a schematic flowchart of the method for determining γ-hot spots in the radiation field according to the present invention;

[0039] Figure 2 This is a schematic diagram of the type of line source radiation source corresponding to the radiation field radiation signal detection data of the present invention;

[0040] Figure 3 This is a schematic diagram of the cylindrical radioactive source type corresponding to the radiation field radiation signal detection data of the present invention;

[0041] Figure 4 This is a schematic diagram of the radiation signal dose rate change function formed by historical detection data and the theoretical function formed by theoretical source strength data in the method for determining the γ hotspot of the radiation field of the present invention.

[0042] Figure 5 This is a schematic diagram of the γ-hot spots in the radiation field determined by the method of the present invention;

[0043] Figure 6 This is a schematic diagram of the module of the device for determining the γ-hot spot of the radiation field according to the present invention. Detailed Implementation

[0044] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0045] like Figure 1 As shown, an embodiment of the present invention proposes a method for determining γ-hot spots in a radiation field, comprising:

[0046] Step 11: Obtain radiation signal detection data from at least one set of detection points within a preset range around the location of the radiation source in the radiation field;

[0047] Step 12: Determine the type of radiation source based on the radiation signal detection data from at least one set of detection points;

[0048] Step 13: Input the radiation signal detection data into the target radiation source intensity determination model corresponding to the radiation source type to determine the radiation source intensity, obtain the location of the radiation field γ hotspot, and output it.

[0049] This embodiment of the invention acquires radiation signal detection data from at least one detection point within a preset range around the location of a radiation source in a radiation field; determines the type of radiation source based on the radiation signal detection data from the at least one detection point; inputs the radiation signal detection data into a target radiation source intensity determination model corresponding to the radiation source type to determine the radiation source intensity, obtains the location of the γ-hotspot in the radiation field, and outputs the result. This allows for the detection of multiple detection points in the radiation field, analysis of data to determine the type of radiation source, selection of a model, and rapid calculation of the distribution and dose level of γ-hotspots in the radiation field through a program. It enables efficient and economical determination of the distribution and dose level of γ-hotspots in the radiation field, thereby reducing radiation exposure to personnel.

[0050] In an optional embodiment of the present invention, step 12 may include:

[0051] Step 121: Based on the radiation signal dose rate represented by the radiation signal detection data of the at least one set of detection points and the location of the detection points, a radiation signal distribution trend map is drawn;

[0052] Step 122: Determine the type of radiation source based on the radiation signal distribution trend map.

[0053] In specific implementation, such as Figure 2 As shown, if the isodose rate line in the radiation signal distribution trend diagram is a parabola with the focal point on the opposite side of the radiation source location, the radiation source type is determined to be a line source.

[0054] In specific implementation, such as Figure 3 As shown, if the isodose rate line in the radiation signal distribution trend diagram is a parabola with the focal point on the same side as the radiation source, the radiation source type is determined to be a line source.

[0055] In an optional embodiment of the present invention, step 13 may include:

[0056] Step 131: Obtain the target radiation source intensity determination model corresponding to the radiation source type. The target radiation source intensity determination model is a target function obtained by fitting the radiation signal dose rate change function formed by historical detection data from multiple historical detection points and the theoretical function formed by theoretical source strength data.

[0057] Step 132: Analyze the radiation signal detection data using the objective function to determine the location of the γ hotspot in the radiation field.

[0058] like Figure 4 As shown,

[0059] The objective function is: f(l,r)=[f1(i,j) / f2(i,j)]*f2(l,r); where f1(l,r) is the radiation signal dose rate change function formed by historical detection data, f1(i,j) is the detection data of a detection point, the position of which is represented as l=li,r=rj; f2(l,r) is the theoretical function formed by theoretical source strength data, and f(l,r) is the objective function.

[0060] or,

[0061]

[0062] A1 represents the activity of the line source; A2 represents the activity of the cylindrical source;

[0063] Γ represents the exposure rate constant;

[0064] L indicates the length (line source) or height (cylindrical source) of the radioactive source;

[0065] r represents the perpendicular distance between the detection point and the axis of the radiation source;

[0066] l represents the distance from the foot of the perpendicular from the detection point to the axis of the radiation source to a fixed endpoint;

[0067] f2(i,j) is the theoretical dose rate value for positions l=li,r=rj;

[0068] Under the same ideal radiation source or near-ideal conditions, f(l,r) is affected by l and r.

[0069] In an optional embodiment of the present invention, step 132 may include:

[0070] Step 1321: After fixing the value of l or r, obtain the similarity between the function formed by the radiation signal detection data and the target function;

[0071] Specifically, the similarity between the function formed by the radiation signal detection data and the target function can be calculated through the following process:

[0072] pass Calculate the distance between points on the function formed by the radiation signal detection data and points on the target function;

[0073] The similarity between the function formed by the radiation signal detection data and the target function is determined based on the distance.

[0074] Where d(x,y) represents two points A = (x1, x2, ..., xy). n ) and B = (y1, y2, ..., y n The distance between points is given by , where n is the dimension of the space containing the point, and i = 1, 2, ..., n.

[0075] There is a corresponding relationship between distance and similarity. For example, if the distance is within a first preset range, the corresponding similarity is S1, and if the distance is within a second preset range, the corresponding similarity is S2. Distance and similarity are inversely proportional, that is, the smaller the distance, the greater the similarity, and the more similar they are; the larger the distance, the smaller the similarity, and the less similar they are.

[0076] Step 1322: If the similarity is greater than a preset value, the dose rate exceeding the limit range in the objective function is determined as the location of the radiation field γ hot spot.

[0077] In this embodiment, the ratio of a selected radiation signal monitoring data point to the theoretical dose rate value when the source strength is 1 is considered the assumed source strength. Under the assumed source strength, with l or r fixed, the source strength under the current conditions best matches the theoretical function and the detection function.

[0078] The objective function is determined by the source strength, the dose rate value at each location is obtained, and the location of the γ hot spot is determined according to the set limit value.

[0079] like Figure 5 As shown in the diagram, the red areas represent γ-hotspot locations in this model. Furthermore, the method described in this embodiment of the invention may further include: establishing a warning zone within a preset range around the γ-hotspot locations, and providing further protection recommendations.

[0080] In the above embodiments of the present invention, the radiation signal detection data is input into a target radiation source intensity determination model corresponding to the radiation source type to determine the radiation source intensity and obtain the location of the radiation field γ hotspot. This can efficiently and economically determine the distribution and dose level of the radiation field γ hotspot, thereby reducing the radiation exposure of personnel.

[0081] like Figure 6 As shown, embodiments of the present invention also provide a device 60 for determining γ-hot spots in a radiation field, comprising:

[0082] The acquisition module 61 is used to acquire radiation signal detection data of at least one set of detection points within a preset range around the location of the radiation source in the radiation field;

[0083] The processing module 62 is used to determine the type of radiation source based on the radiation signal detection data of the at least one set of detection points; input the radiation signal detection data into the target radiation source intensity determination model corresponding to the radiation source type to determine the radiation source intensity, obtain the location of the radiation field γ hotspot, and output it.

[0084] Optionally, the type of radiation source is determined based on the radiation signal distribution trend map, including:

[0085] If, in the radiation signal distribution trend graph, the isodose rate line is a parabolic distribution with the focal point on the opposite side of the radiation source location, the radiation source type is determined to be a line source.

[0086] If, in the radiation signal distribution trend diagram, the isodose rate line is a parabola distributed on the same side of the focal point and the radiation source location, the radiation source type is determined to be a cylindrical source.

[0087] Optionally, the radiation signal detection data is input into a target radiation source intensity determination model corresponding to the radiation source type to determine the radiation source intensity and obtain the location of the γ-hotspot in the radiation field, including:

[0088] A target radiation source intensity determination model corresponding to the radiation source type is obtained. The target radiation source intensity determination model is a target function obtained by fitting the radiation signal dose rate change function formed by historical detection data from multiple historical detection points and the theoretical function formed by theoretical source intensity data.

[0089] The radiation signal detection data is analyzed using the objective function to determine the location of the γ-hot spot in the radiation field.

[0090] Optionally, the objective function is: f(l,r)=[f1(i,j) / f2(i,j)]*f2(l,r); where f1(l,r) is the radiation signal dose rate change function formed by historical detection data, f1(i,j) is the detection data of a detection point, the position of which is represented as l=li,r=rj; f2(l,r) is the theoretical function formed by theoretical source strength data, and f(l,r) is the objective function.

[0091] or,

[0092]

[0093] A1 represents the activity of the line source; A2 represents the activity of the cylindrical source;

[0094] Γ represents the exposure rate constant;

[0095] L indicates the length (line source) or height (cylindrical source) of the radioactive source;

[0096] r represents the perpendicular distance between the detection point and the axis of the radiation source;

[0097] l represents the distance from the foot of the perpendicular from the detection point to the axis of the radiation source to a fixed endpoint;

[0098] f2(i,j) is the theoretical dose rate value for positions l=li,r=rj;

[0099] Under the same ideal radiation source or near-ideal conditions, f(l,r) is affected by l and r.

[0100] Optionally, the radiation signal detection data is analyzed using the objective function to determine the location of the γ-hotspot in the radiation field, including:

[0101] After fixing the value of l or r, the similarity between the function formed by the radiation signal detection data and the target function is obtained;

[0102] If the similarity is greater than a preset value, the dose rate exceeding the limit in the objective function is determined as the location of the γ hotspot in the radiation field.

[0103] It should be noted that this device is the same as the method described above. All implementation processes of the above method embodiments are applicable to the embodiments of this device and can achieve the same technical effect.

[0104] Embodiments of the present invention also provide a computing device, including: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method described above.

[0105] Embodiments of the present invention also provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method described above.

[0106] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining gamma hotspots in a radiation field, characterized in that, include: Acquire radiation signal detection data from at least one set of detection points within a preset range around the location of the radiation source in the radiation field; The type of radiation source is determined based on the radiation signal detection data from at least one set of detection points; The radiation signal detection data is input into the target radiation source intensity determination model corresponding to the radiation source type to determine the radiation source intensity, obtain the location of the radiation field γ hotspot, and output it. Specifically, the radiation signal detection data is input into a target radiation source intensity determination model corresponding to the radiation source type to determine the radiation source intensity and obtain the location of the γ-hotspot in the radiation field, including: A target radiation source intensity determination model corresponding to the radiation source type is obtained. The target radiation source intensity determination model is a target function obtained by fitting the radiation signal dose rate change function formed by historical detection data from multiple historical detection points and the theoretical function formed by theoretical source intensity data. The radiation signal detection data is analyzed using the objective function to determine the location of the γ hotspot in the radiation field; The objective function is: f(l,r)=[f1(i,j) / f2(i,j)]*f2(l,r); where f1(l,r) is the radiation signal dose rate change function formed by historical detection data, f1(i,j) is the detection data of a detection point, the position of which is represented as l=li,r=rj; f2(l,r) is the theoretical function formed by theoretical source strength data, and f(l,r) is the objective function. in, ,or, ； A1 represents the activity of the line source; A2 represents the activity of the cylindrical source; denoted by ; L represents the length or height of the radiation source; r represents the perpendicular distance between the detection point and the axis of the radiation source; l represents the distance from the foot of the detection point perpendicular to the axis of the radiation source to a fixed endpoint; f2(i,j) is the theoretical dose rate value at positions l=li, r=rj; under the same ideal radiation source or near-ideal conditions, f(l,r) is affected by l and r. Specifically, analyzing the radiation signal detection data using the objective function to determine the location of the γ-hotspot in the radiation field includes: After fixing the value of l or r, the similarity between the function formed by the radiation signal detection data and the target function is obtained; If the similarity is greater than a preset value, the dose rate exceeding the limit in the objective function is determined as the location of the γ hot spot in the radiation field; Wherein, after fixing the value of l or r, the similarity between the function formed by the radiation signal detection data and the target function is obtained, including: pass Calculate the distance between a point on the function formed by the radiation signal detection data and a point on the target function; wherein, Let A = (x1, x2, ..., xn) be two points. n ) and B=(y1, y2, ..., y n The distance between points, where n is the dimension of the space containing the points, i = 1, 2, ..., n; The similarity between the function formed by the radiation signal detection data and the target function is determined based on the distance; there is a correspondence between the distance and the similarity. Wherein, when the similarity is greater than a preset value, the dose rate exceeding the limit range in the objective function is determined as the location of the γ-hot spot in the radiation field, including: Assuming a fixed source strength, with l or r, the source strength under the current conditions is obtained based on the fit between the theoretical function and the detection function. The objective function is determined based on the source strength under the current conditions, the dose rate value at each location is obtained, and the location of the γ hotspot is determined according to the set limit.

2. The method for determining γ-hot spots in a radiation field according to claim 1, characterized in that, Based on the radiation signal detection data, the type of radiation source is determined, including: A radiation signal distribution trend map is drawn based on the radiation signal dose rate represented by the radiation signal detection data of at least one set of detection points and the location of the detection points; The type of radiation source is determined based on the radiation signal distribution trend map.

3. The method for determining γ-hot spots in a radiation field according to claim 2, characterized in that, Based on the radiation signal distribution trend map, the type of radiation source is determined, including: If, in the radiation signal distribution trend graph, the isodose rate line is a parabolic distribution with the focal point on the opposite side of the radiation source location, the radiation source type is determined to be a line source. If, in the radiation signal distribution trend diagram, the isodose rate line is a parabola distributed on the same side of the focal point and the radiation source location, the radiation source type is determined to be a cylindrical source.

4. A device for determining gamma hotspots in a radiation field, characterized in that, include: The acquisition module is used to acquire radiation signal detection data of at least one detection point within a preset range around the location of the radiation source in the radiation field; The processing module is used to determine the type of radiation source based on the radiation signal detection data of the at least one detection point; The radiation signal detection data is input into a target radiation source intensity determination model corresponding to the radiation source type to determine the radiation source intensity, obtain the γ-hotspot location of the radiation field, and output it. Specifically, inputting the radiation signal detection data into the target radiation source intensity determination model corresponding to the radiation source type to determine the radiation source intensity and obtain the γ-hotspot location of the radiation field includes: acquiring the target radiation source intensity determination model corresponding to the radiation source type, wherein the target radiation source intensity determination model is a radiation signal dose rate change function formed by historical detection data from multiple historical detection points and theoretical source strength data. The objective function is obtained by fitting the theoretical function. The radiation signal detection data is analyzed using the objective function to determine the location of the γ-hotspot in the radiation field. The objective function is: f(l,r)=[f1(i,j) / f2(i,j)]*f2(l,r); where f1(l,r) is the radiation signal dose rate change function formed from historical detection data, f1(i,j) is the detection data at a detection point, where the point's location is represented as l=li, r=rj; f2(l,r) is the theoretical function formed from theoretical source strength data, and f(l,r) is the objective function. ,or, ; A1 represents the activity of the line source; A2 represents the activity of the cylindrical source; Let L represent the radiation rate constant; L represent the length or height of the radiation source; r represent the perpendicular distance between the detection point and the axis of the radiation source; l represent the distance from the foot of the perpendicular from the detection point to the axis of the radiation source to a fixed endpoint; f2(i,j) is the theoretical dose rate value at position l=li, r=rj; under the same ideal radiation source or near-ideal conditions, f(l,r) is affected by l and r; wherein, the radiation signal detection data is analyzed through the target function to determine the location of the radiation field γ hotspot, including: after fixing the value of l or r, obtaining the similarity between the function formed by the radiation signal detection data and the target function; if the similarity is greater than a preset value, the dose rate exceeding the limit range in the target function is determined as the location of the radiation field γ hotspot; wherein, after fixing the value of l or r, obtaining the similarity between the function formed by the radiation signal detection data and the target function includes: through Calculate the distance between a point on the function formed by the radiation signal detection data and a point on the target function; wherein, Let A = (x1, x2, ..., xn) be two points. n ) and B=(y1, y2, ..., y n The distance between the points is given by i = 1, 2, ..., n, where n is the dimension of the space where the points are located. The similarity between the function formed by the radiation signal detection data and the target function is determined based on the distance. There is a corresponding relationship between the distance and the similarity. Wherein, if the similarity is greater than a preset value, the dose rate exceeding the limit in the target function is determined as the location of the radiation field γ-hotspot, including: assuming a fixed source strength (l or r), obtaining the source strength under the current conditions based on the fit between the theoretical function and the detection function; determining the target function based on the source strength under the current conditions, obtaining the dose rate value at each location, and determining the γ-hotspot location based on the set limit.

5. A computing device, characterized in that, include: A processor, a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method as described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, Store instructions that, when executed on a computer, cause the computer to perform the method as described in any one of claims 1 to 3.

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