CN114139445A

CN114139445A - Radiation dose measuring method and device, client, terminal and storage medium

Info

Publication number: CN114139445A
Application number: CN202111405616.3A
Authority: CN
Inventors: 高飞; 刘蕴韬; 韦凯迪; 倪宁; 王菲菲; 陈义珍; 王子琳; 刘佳瑞
Original assignee: China Institute of Atomic of Energy
Current assignee: China Institute of Atomic of Energy
Priority date: 2021-11-24
Filing date: 2021-11-24
Publication date: 2022-03-04

Abstract

The embodiment of the application discloses a radiation dose measuring method and device, a client, a terminal and a storage medium, wherein the client acquires target measuring data corresponding to a target measuring point; performing radiation dose inversion processing on the target measurement data based on the target inversion model to obtain a radiation dose result of a target measurement point; the target inversion model is a prediction model for determining the radiation dose corresponding to the measuring point according to the measuring point data; the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to preset radioactive nuclides; the measured data is acquired by a radiation dose measuring device. The radiation dose measuring device collects and processes a preset radionuclide of a preset measuring point to obtain actual measurement data corresponding to the preset measuring point; wherein the preset radionuclide is generated by a preset standard radioactive device; and sending the measured data to the client.

Description

Radiation dose measuring method and device, client, terminal and storage medium

Technical Field

The present invention relates to the technical field of radioactive substance detection, and in particular, to a radiation dose measuring method and apparatus, a client, a terminal, and a storage medium.

Background

Currently, when measuring the radiation dose, the measurement data is mainly obtained in two ways, such as manual measurement on the ground, or installation of a detector on the ground surface to obtain the measurement data; and then after the measurement data are obtained, calculating the surface dose by utilizing a data inversion algorithm which is designed manually.

However, in the existing radiation dose measuring method, the artificially designed data inversion algorithm is not beneficial to comprehensively, efficiently and accurately evaluating the earth surface radioactivity, and the defect of poor inversion effect exists, so that the radiation dose measuring effect is poor.

Disclosure of Invention

The embodiment of the application provides a radiation dose measuring method and device, a client, a terminal and a storage medium, and the radiation dose measuring method and device has better radiation dose measuring capability.

The technical scheme of the embodiment of the application is realized as follows:

in a first aspect, an embodiment of the present application provides a radiation dose measuring method, which is applied to a client, and the method includes:

acquiring target measurement data corresponding to the target measurement point;

performing radiation dose inversion processing on the target measurement point data based on a target inversion model to obtain a radiation dose result of the target measurement point; the target inversion model is a prediction model for determining radiation dose corresponding to the measuring point according to the measuring point data; the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to preset radioactive nuclides; the measured data is acquired by a radiation dose measuring device.

In a second aspect, an embodiment of the present application provides a radiation dose measuring method applied to a radiation dose measuring apparatus, the method including:

acquiring and processing a preset radionuclide of a preset measuring point to obtain actual measurement data corresponding to the preset measuring point; wherein the predetermined radionuclide is a radionuclide generated by a predetermined standard radioactive device;

and sending the measured data to a client.

In a third aspect, an embodiment of the present application provides a client, where the client includes an obtaining unit and a processing unit,

the acquisition unit is used for acquiring target measurement data corresponding to the target measurement point;

the processing unit is used for performing radiation dose inversion processing on target measurement data based on a target inversion model to obtain a radiation dose result of the target measurement point; the target inversion model is a prediction model for determining radiation dose corresponding to the measuring point according to the measuring point data; the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to preset radioactive nuclides; the measured data is acquired by a radiation dose measuring device.

In a fourth aspect, embodiments of the present application provide a radiation dose measuring device, which includes an acquisition unit and a transmission unit,

the acquisition unit is used for acquiring and processing a preset radionuclide of a preset measurement point to obtain actual measurement data corresponding to the preset measurement point; wherein the predetermined radionuclide is a radionuclide generated by a predetermined standard radioactive device;

and the sending unit is used for sending the measured data to a client.

In a fifth aspect, an embodiment of the present application provides a terminal, where the terminal runs the client according to the third aspect, and the terminal includes a first processor, a first memory storing instructions executable by the first processor, and when the instructions are executed by the first processor, the method according to the first aspect is implemented.

In a sixth aspect, embodiments of the present application provide a radiation dose measuring device comprising a geiger miller counter, a cerium bromide detector, a gamma spectrometer, a visible light camera, a global positioning system GPS antenna, a lidar, a second processor, a second memory storing instructions executable by the second processor, the instructions, when executed by the second processor, performing the method of the second aspect.

In a seventh aspect, the present application provides a computer-readable storage medium, on which a program is stored, for application to a client and a radiation dose measuring device, wherein the program, when executed by a first processor, implements the method according to the first aspect; which when executed by a second processor implements the method according to the second aspect.

The embodiment of the application provides a radiation dose measuring method and device, a client, a terminal and a storage medium, wherein the client acquires target measuring data corresponding to a target measuring point; performing radiation dose inversion processing on the target measurement point data based on the target inversion model to obtain a radiation dose result of the target measurement point; the target inversion model is a prediction model for determining the radiation dose corresponding to the measuring point according to the measuring point data; the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to preset radioactive nuclides; the measured data is acquired by a radiation dose measuring device. The radiation dose measuring device collects and processes a preset radionuclide of a preset measuring point to obtain actual measurement data corresponding to the preset measuring point; wherein the preset radionuclide is generated by a preset standard radioactive device; and sending the measured data to the client. Therefore, in the application, the radiation dose measuring device is used for collecting and processing the preset radionuclide, the measured data are sent to the client, the client can train the initial inversion model based on the measured data and the standard data corresponding to the preset radionuclide to obtain a trained target inversion model, and the target inversion model is used for carrying out radiation dose inversion processing on the target measuring point to obtain a radiation dose result of the target measuring point; that is to say, this application is through gathering the preset radionuclide that preset standard radioactivity device generated to training the initial inversion model according to the standard data of preset radionuclide and the actual measurement data of actually gathering, can possess better training effect, and the target inversion model who obtains from this can carry out high-efficient and accurate inference to the radiation dose on earth's surface, possesses better radiation dose measuring ability.

Drawings

Fig. 1 is a schematic flow chart of a first implementation of a radiation dose measuring method according to an embodiment of the present application;

fig. 2 is a schematic flow chart illustrating an implementation process of the radiation dose measuring method according to the embodiment of the present application;

fig. 3 is a first schematic diagram illustrating an implementation of a radiation dose measuring method according to an embodiment of the present application;

fig. 4 is a schematic diagram illustrating a second implementation of the radiation dose measuring method according to the embodiment of the present application;

fig. 5 is a schematic flow chart illustrating an implementation of the radiation dose measuring method according to the embodiment of the present application;

fig. 6 is a schematic flow chart illustrating an implementation of the radiation dose measuring method according to the embodiment of the present application;

fig. 7 is a schematic flow chart illustrating an implementation of the radiation dose measuring method according to the embodiment of the present application;

fig. 8 is a third schematic view of an implementation of the radiation dose measuring method according to the embodiment of the present application;

fig. 9 is a schematic flow chart illustrating an implementation of the radiation dose measuring method according to the embodiment of the present application;

fig. 10 is a schematic flow chart illustrating an implementation of the radiation dose measuring method according to the embodiment of the present application;

fig. 11 is a fourth schematic view of an implementation of the radiation dose measuring method according to the embodiment of the present application;

fig. 12 is a schematic flow chart eight illustrating an implementation process of the radiation dose measuring method according to the embodiment of the present application;

fig. 13 is a fifth implementation schematic diagram of the radiation dose measuring method according to the embodiment of the present application;

fig. 14 is a schematic structural diagram of a client according to an embodiment of the present application;

fig. 15 is a schematic structural diagram of a terminal according to an embodiment of the present application;

fig. 16 is a first schematic structural diagram of a radiation dose measuring device according to an embodiment of the present application;

fig. 17 is a schematic structural diagram of a radiation dose measuring apparatus according to an embodiment of the present application;

fig. 18 is a schematic structural diagram of a radiation dose measuring apparatus according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the specific embodiments described herein are illustrative of the relevant application and are not limiting of the application. It should be noted that, for the convenience of description, only the parts related to the related applications are shown in the drawings.

In the prior art, a data inversion algorithm is simpler to assume a measurement environment, and the artificially designed inversion algorithm is not strong in adaptability to a complex environment, so that the comprehensive, efficient and accurate evaluation of the surface radioactivity is not facilitated; in addition, in the measuring process, the defects of low measuring efficiency, coarse sampling granularity, single data type, non-visual data presentation and the like generally exist; further, an intuitive and easy-to-interact method for presenting radiation dose related data is also lacking.

In order to solve the problems of the radiation dose measuring method in the prior art, the embodiment of the application provides a radiation dose measuring method and device, a client, a terminal and a storage medium, wherein the client acquires target measuring data corresponding to a target measuring point; performing radiation dose inversion processing on target measurement data based on a target inversion model to obtain a radiation dose result of the target measurement point; the target inversion model is a prediction model for determining radiation dose corresponding to the measuring point according to the measuring point data; the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to preset radioactive nuclides. The radiation dose measuring device collects and processes a preset radionuclide of a preset measuring point to obtain actual measurement data corresponding to the preset measuring point; wherein the predetermined radionuclide is a radionuclide generated by a predetermined standard radioactive device; the measured data are sent to the client, so that the radiation dose on the earth surface can be efficiently and accurately inferred, and the method has better radiation dose measuring capability.

Furthermore, the radiation dose measuring device can be used for efficiently measuring the target measuring area to obtain abundant data types, and the problems of low measuring efficiency, coarse sampling granularity, single data type, non-visual data presentation and the like in the prior art are solved; moreover, the radiation dose visualization model can be generated according to the radiation dose result, so that the data presentation mode is more visual and the interaction is more facilitated.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.

Example one

An embodiment of the present application provides a radiation dose measuring method, fig. 1 is a schematic implementation flow diagram of the radiation dose measuring method provided in the embodiment of the present application, and as shown in fig. 1, the radiation dose measuring method of a client may include the following steps:

step 101, obtaining target measurement data corresponding to a target measurement point.

In an embodiment of the present application, the radiation dose measuring device may first acquire target measurement data corresponding to the target measurement point.

It should be noted that, in the embodiments of the present application, the target measurement point refers to a target region where radiation dose measurement is to be performed.

Further, in the embodiment of the present application, the target measurement data refers to actual measurement data of the target measurement point obtained after the target measurement point is acquired and processed by the radiation dose measuring device.

102, performing radiation dose inversion processing on target measurement data based on a target inversion model to obtain a radiation dose result of a target measurement point; the target inversion model is a prediction model for determining the radiation dose corresponding to the measuring point according to the measuring point data; the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to preset radioactive nuclides; the measured data is acquired by a radiation dose measuring device.

In the embodiment of the application, after the client acquires the target measurement data corresponding to the target measurement point, the client can perform radiation dose inversion processing on the target measurement data based on the target inversion model to obtain a radiation dose result of the target measurement point; the target inversion model is a prediction model for determining the radiation dose corresponding to the measuring point according to the measuring point data; the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to preset radioactive nuclides; the measured data is acquired by a radiation dose measuring device.

It should be noted that, in the embodiment of the present application, the target inversion model is a prediction model that determines the radiation dose corresponding to the measurement point according to the measurement point data; that is, the radiation dose corresponding to the measurement point can be obtained by inputting the measurement point data into the target inversion model, and the radiation dose reflects the specific radiation dose condition of the measurement point.

It is understood that in the embodiments of the present application, the radiation dose result may reflect the specific radiation dose condition of the target measurement point.

It should be noted that, in the embodiment of the present application, the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to a preset radionuclide; that is to say, the method acquires and processes the preset radionuclide to obtain the corresponding measured data, combines the standard data corresponding to the preset radionuclide to form a training data set, and then performs training data on the initial inversion model based on the training data set to obtain a target inversion model; specifically, the client may receive the measured data sent by the radiation dose measuring device first; then determining a training data set based on the measured data and standard data corresponding to the preset radionuclide; further, inputting the measured data into the initial inversion model to obtain a first radiation dose corresponding to the measured data; determining a loss function value corresponding to the initial inversion model according to the loss function model, the first radiation dose and the standard data; and finally, optimizing the initial inversion model by using the loss function value to obtain a target inversion model.

Further, in the embodiment of the present application, the measured data corresponding to the predetermined radionuclide is obtained by a radiation dose measuring device.

Further, in the embodiment of the application, the performance parameters of the target inversion model and the radiation dose measuring device can be integrated into software, and then a user can directly utilize the software to perform radiation dose inversion processing on the acquired target measurement data.

Fig. 2 is a schematic view of a second implementation flow of the radiation dose measurement method provided in the embodiment of the present application, and as shown in fig. 2, before the client performs radiation dose inversion processing on target measurement point data based on the target inversion model and obtains a radiation dose result of the target measurement point, that is, before step 102, the method may further include the following steps:

and 103, receiving the measured data sent by the radiation dose measuring device.

In the embodiment of the application, before the client performs radiation dose inversion processing on the target measurement point data based on the target inversion model to obtain the radiation dose result of the target measurement point, the client may also receive actual measurement data sent by the radiation dose measurement device.

It should be noted that, in the embodiments of the present application, the radiation dose measuring device is a device for acquiring data; the radiation dose measuring device integrates a geiger miller counter, a cerium bromide detector, a gamma spectrometer, a visible light camera, a Global Positioning System (GPS) antenna, and a lidar.

Further, in the embodiment of the present application, the measured data refers to actual data obtained by the radiation dose measuring device after acquiring and processing the preset radionuclide at the preset measuring point.

It should be noted that, in the embodiments of the present application, the preset radionuclide includes a plurality of different types of radionuclides, and therefore, the measured data obtained after the preset radionuclide is acquired and processed also includes data corresponding to the plurality of different radionuclides.

And 104, determining a training data set based on the measured data and the standard data corresponding to the preset radionuclide.

In an embodiment of the present application, after receiving the measured data sent by the radiation dose measuring device, the client may determine the training data set based on the measured data and the standard data corresponding to the preset radionuclide.

It should be noted that, in the embodiments of the present application, the predetermined radionuclide is generated by a predetermined standard radioactive device; that is to say, the method and the device acquire measured data by establishing a preset standard radioactive device and utilizing a radiation dose measuring device to acquire and process preset radioactive nuclides released by the radioactive device; meanwhile, a training data set is constructed according to the standard data and the measured data corresponding to the preset radioactive nuclide.

It is understood that, in the embodiments of the present application, the standard data is dose data corresponding to the predetermined radionuclide, that is, the standard data is a known radiation dose value corresponding to the predetermined radionuclide.

Further, in the embodiment of the present application, before determining the training data set, pre-processing needs to be performed on the measured data, where the pre-processing includes smoothing filtering processing, automatic peak finding processing, local deduction processing, and the like; that is, a training data set is constructed from the pre-processed measured data and the standard data.

For example, fig. 3 is a schematic diagram of a first implementation of the radiation dose measuring method provided in the embodiment of the present application, and as shown in fig. 3, the first implementation is a data composition of a training data set, the training data set is composed of measured data and standard data, count rates and corresponding radar heights corresponding to a plurality of different radionuclides in the measured data, and the standard data includes dose rates corresponding to the different radionuclides.

Further, in the embodiments of the present application, the predetermined standard radioactive device is mainly composed of natural rock ore and artificial radionuclide; illustratively, natural rock ore powder and artificial radioactive nuclide radioactive sources can be used as fillers, and high-grade cement is used for cementing, so that a plurality of large plate concrete modules are obtained; the contents of potassium, uranium, thorium and artificial radionuclide can be set at will, and the method is not limited in the application.

And 105, training the initial inversion model according to the training data set to obtain a target inversion model.

In the embodiment of the application, after the client determines the training data set based on the measured data and the standard data corresponding to the preset radionuclide, the client can train the initial inversion model according to the training data set to obtain the target inversion model.

It should be noted that, in an embodiment of the present application, the initial inversion model may be a neural network model, for example, fig. 4 is a schematic diagram of an implementation of the radiation dose measurement method provided in the embodiment of the present application, and as shown in fig. 4, the initial inversion model may include an input layer, a fully-connected layer, a missing layer, a convolutional layer, a pooling layer, and an output layer; it will be appreciated that the input layer in the initial inverse model may be used to receive the training data, and finally the corresponding radiation dose results for the training data are output by the output layer.

For example, in the embodiment of the present application, assuming that training data is an N-dimensional vector, the training data is input into an input layer, a vector with a dimension of 400 is obtained through a full-connected layer, then a vector with a dimension of 100 is obtained through a missing layer with an operation core of 2 × 1, a convolution layer with an operation core of 2 × 1, and a pooling layer with an operation core of 2 × 1, the 100-dimensional vector is input into the full-connected layer, a 50-dimensional vector is obtained, and finally a result is output through an output layer; wherein the output layer may set the softmax function.

Further, in the embodiment of the present application, the target inversion model is an inversion model obtained after the initial inversion model is trained.

Specifically, in an embodiment of the present application, the method for obtaining the target inversion model by training the initial inversion model according to the training data set may include: firstly, inputting measured data into an initial inversion model to obtain a first radiation dose corresponding to the measured data; then determining a loss function value corresponding to the initial inversion model according to the loss function model, the first radiation dose and the standard data; and finally, optimizing the initial inversion model by using the loss function value to obtain a target inversion model.

Fig. 5 is a schematic flow chart illustrating a third implementation flow of the radiation dose measurement method provided in the embodiment of the present application, as shown in fig. 5, the client performs training processing on the initial inversion model according to the training data set to obtain a target inversion model, that is, the method provided in step 105 may include the following steps:

and 105a, inputting the measured data into the initial inversion model to obtain a first radiation dose corresponding to the measured data.

In an embodiment of the application, the client performs training processing on the initial inversion model according to a training data set to obtain a target inversion model, and specifically, the client may input the measured data into the initial inversion model first to obtain a first radiation dose corresponding to the measured data.

It is understood that, in the embodiment of the present application, the first radiation dose is a radiation dose corresponding to the measured data obtained after the measured data is input into the initial inversion model.

It should be noted that, in the embodiment of the present application, since the measured data includes actual data of a plurality of different radionuclides, the first radiation dose also includes dose values of the plurality of different radionuclides corresponding to the measured data; that is, the first radiation dose has a dose value corresponding to a radionuclide in the measured data.

And 105b, determining a loss function value corresponding to the initial inversion model according to the loss function model, the first radiation dose and the standard data.

In an embodiment of the application, after the client inputs the measured data into the initial inversion model and obtains the first radiation dose corresponding to the measured data, the client may determine the loss function value corresponding to the initial inversion model according to the loss function model, the first radiation dose, and the standard data.

It should be noted that, in the embodiment of the present application, the loss function model can be expressed as the following formula:

wherein, the Loss function value is the Loss function value,

as standard data, dose_iIs a first radiation dose.

And 105c, optimizing the initial inversion model by using the loss function value to obtain a target inversion model.

In the embodiment of the application, after determining the loss function value corresponding to the initial inversion model according to the loss function model, the first radiation dose and the standard data, the client may perform optimization processing on the initial inversion model by using the loss function value to obtain the target inversion model.

It should be noted that, in the embodiment of the present application, the initial inversion model is optimized by using the loss function value, and the target inversion model can be determined to be obtained until the loss function value meets the preset loss standard.

Fig. 6 is a schematic view of a fourth implementation flow of the radiation dose measurement method provided in the embodiment of the present application, as shown in fig. 6, the client performs radiation dose inversion processing on target measurement point data based on a target inversion model to obtain a radiation dose result of the target measurement point, that is, the method provided in step 102 may include the following steps:

step 102a, preprocessing the target measurement data to obtain preprocessed data.

In the embodiment of the application, the client performs radiation dose inversion processing on the target measurement point data based on the target inversion model to obtain a radiation dose result of the target measurement point, and specifically, the client may perform preprocessing on the target measurement data to obtain preprocessed data.

It should be noted that, in the embodiment of the present application, the preprocessing also includes a smoothing filtering process, an automatic peak finding process, a local deduction process, and the like.

And 102b, performing radiation dose inversion processing on the preprocessed data by using the target inversion model to obtain a radiation dose result.

In the embodiment of the application, after the client preprocesses the target measurement data and obtains the preprocessed data, the client may perform radiation dose inversion processing on the preprocessed data by using the target inversion model to obtain a radiation dose result.

It can be understood that, in the embodiment of the present application, after the preprocessed data is input into the target inversion model, the target inversion model may output a corresponding radiation dose result, and the radiation dose result reflects a specific radiation dose condition of the target measurement point.

Fig. 7 is a schematic view of an implementation flow of the radiation dose measurement method provided in the embodiment of the present application, and as shown in fig. 7, after the client performs radiation dose inversion processing on target measurement point data based on the target inversion model and obtains a radiation dose result of the target measurement point, that is, after step 102, the method may further include the following steps:

step 106, carrying out fusion processing on the radiation dose result and the map data to obtain a fused radiation dose result; wherein the map data includes target measurement points.

In the embodiment of the application, the client performs radiation dose inversion processing on target measurement point data based on a target inversion model, and after a radiation dose result of the target measurement point is obtained, the radiation dose result and map data can be subjected to fusion processing to obtain a fused radiation dose result; wherein the map data includes target measurement points.

In the embodiment of the present application, the map data may be Geographic Information System (GIS) data, which mainly includes plane map data, satellite map data, and the like.

Further, in the embodiment of the present application, the fused radiation dose result refers to data obtained after fusion processing is performed on the radiation dose result and the map data; it will be appreciated that the fused dose results combine the dose and position coordinate data, and therefore, by selecting the position coordinates in the fused dose results, the corresponding dose value can be obtained.

And step 107, generating a radiation dose visualization model corresponding to the radiation dose result according to the interpolation algorithm and the fused radiation dose result.

In the embodiment of the application, the client performs fusion processing on the radiation dose result and the map data, and after the fused radiation dose result is obtained, a radiation dose visualization model corresponding to the radiation dose result can be generated according to an interpolation algorithm and the fused radiation dose result.

It should be noted that, in an embodiment of the present application, fig. 8 is a schematic diagram illustrating an implementation of a radiation dose measuring method provided in the embodiment of the present application, and as shown in fig. 8, an interpolation algorithm is to use a specified point P (x, y) as a circle center and an area with a radius r as a preset range in map data, search for other measuring points in the range, and when other n measuring points in the preset range are found, calculate a dose value of P based on the following formula:

wherein dose (x, y) represents the radiation dose value at point P with coordinates (x, y), dose_iRepresenting the radiation dose result, x, at the ith measurement point within a predetermined range_iAnd y_iCoordinates, x, representing the ith measurement point_kAnd y_kIndicating the coordinates of the kth measurement point.

Therefore, in the embodiment of the application, according to the interpolation algorithm and the radiation dose result corresponding to the target measurement point, the radiation dose value of any other measurement point different from the target measurement point within the preset range can be obtained.

Further, in an embodiment of the present application, the method for generating a radiation dose visualization model corresponding to the radiation dose result according to the interpolation algorithm and the fused radiation dose result may include: determining a radiation dose value of a first measuring point in the map data according to an interpolation algorithm and the fused radiation dose result; the first measuring point is other measuring points different from the target measuring point within a preset range in the map data; sampling the radiation dose value of the first measuring point to obtain the radiation dose value of the second measuring point; and finally, generating a radiation dose visualization model based on the radiation dose value of the second measurement point.

Fig. 9 is a schematic view illustrating an implementation flow of a radiation dose measurement method according to an embodiment of the present application, and as shown in fig. 9, a method for generating a radiation dose visualization model corresponding to a radiation dose result according to an interpolation algorithm and a fused radiation dose result by a client, that is, the method provided in step 107 may include the following steps:

step 107a, determining a radiation dose value of a first measuring point in the map data according to an interpolation algorithm and the fused radiation dose result; the first measuring point is other measuring points different from the target measuring point in a preset range in the map data.

In the embodiment of the application, the client generates the radiation dose visualization model corresponding to the radiation dose result according to the interpolation algorithm and the fused radiation dose result, and specifically, the client may determine the radiation dose value of the first measurement point in the map data according to the interpolation algorithm and the fused radiation dose result; the first measuring point is other measuring points different from the target measuring point in a preset range in the map data.

In the embodiment of the present application, the first measurement point is another measurement point different from the target measurement point within a preset range in the map data.

For example, in the embodiment of the present application, a preset range is formed based on a preset radius with the first measurement point as a center of a circle, and the preset range includes the target measurement point, so that the radiation dose value of the first measurement point can be calculated according to the interpolation algorithm and the radiation dose result corresponding to the target measurement point.

It is understood that in the embodiment of the present application, the number of the first measurement points may be at least one, that is, according to the interpolation algorithm and the fused radiation dose result, the radiation dose values of the plurality of first measurement points in the map data may be obtained.

And step 107b, sampling the radiation dose value of the first measuring point to obtain the radiation dose value of the second measuring point.

In the embodiment of the application, after the client determines the radiation dose value of the first measurement point in the map data according to the interpolation algorithm and the fused radiation dose result, the client may perform sampling processing on the radiation dose value of the first measurement point to obtain the radiation dose value of the second measurement point.

In the embodiment of the present application, the radiation dose value of the second measurement point refers to the radiation dose value of a part of the first measurement points obtained after sampling the first measurement points.

Further, in the embodiment of the present application, the map data is divided according to the fixed horizontal and vertical coordinates, and then the first measurement point is sampled to obtain the second measurement point.

And step 107c, generating a radiation dose visualization model based on the radiation dose value of the second measurement point.

In the embodiment of the application, after sampling the radiation dose value of the first measurement point and obtaining the radiation dose value of the second measurement point, the client may generate the radiation dose visualization model based on the radiation dose value of the second measurement point.

It should be noted that, in the embodiment of the present application, the radiation dose can be visually checked according to the radiation dose visualization model.

Further, in an embodiment of the present application, the method of generating a radiation dose visualization model based on the radiation dose value of the second measurement point may include: firstly, generating an isosurface map according to the radiation dose value of a second measuring point; and then constructing a radiation dose visualization model based on the isosurface map.

Fig. 10 is a seventh implementation flow diagram of the radiation dose measuring method provided in the embodiment of the present application, and as shown in fig. 10, the method for the client to generate the radiation dose visualization model based on the radiation dose value of the second measurement point, that is, the method provided in step 107c may include the following steps:

step 107c1, generating an iso-surface map based on the radiation dose value at the second measurement point.

In the embodiment of the application, the client generates the radiation dose visualization model based on the radiation dose value of the second measurement point, and specifically, the client may generate the iso-surface map according to the radiation dose value of the second measurement point.

It is to be understood that, in the embodiments of the present application, an iso-surface map is constructed based on the radiation dose value of the second measurement point, and then a radiation dose visualization model can be constructed from the iso-surface map.

And step 107c2, constructing a radiation dose visualization model based on the isosurface map.

In an embodiment of the application, after the client generates the isosurface map according to the radiation dose value of the second measurement point, the radiation dose visualization model may be constructed based on the isosurface map.

Further, in the embodiment of the present application, the isosurface map and the information of the types of radionuclides contained in the isosurface map may be overlaid on the map data in a layer manner, so as to construct the radiation dose visualization model.

Further, in the embodiment of the present application, the method for generating a radiation dose visualization model may be integrated into software, so that the software has a visualization interface interaction function. The software supports operations such as expanding, shrinking and inquiring the map; therefore, the software can automatically generate a corresponding radiation dose visualization model according to the radiation dose result and provide various viewing and interaction modes.

For example, fig. 11 is a schematic diagram of a fourth implementation of the radiation dose measurement method provided by the embodiment of the present application, and as shown in fig. 11, the radiation dose visualization model is a schematic diagram of a radiation dose visualization model, operations such as zooming, selecting, querying and the like may be performed on map data, when the map data is selected to be zoomed, software may reload the map data under different scale scales, and calculate a new iso-surface map to refresh and display the dose distribution.

In an embodiment of the present application, fig. 12 is an implementation flow diagram of an eighth radiation dose measuring method provided in the embodiment of the present application, and as shown in fig. 12, the radiation dose measuring method of the radiation dose measuring apparatus may include the following steps:

step 201, collecting and processing a preset radionuclide of a preset measuring point to obtain actual measurement data corresponding to the preset measuring point; wherein the predetermined radionuclide is a radionuclide generated by a predetermined standard radioactive device.

In the embodiment of the application, the radiation dose measuring device can acquire and process the preset radionuclide of the preset measuring point to obtain the measured data corresponding to the preset measuring point; wherein the predetermined radionuclide is a radionuclide generated by a predetermined standard radioactive device.

It should be noted that, in the embodiments of the present application, the radiation dose measuring device is a device for acquiring data; the radiation dose measuring device integrates a Geiger Miller counter, a cerium bromide detector, a gamma energy spectrometer, a visible light camera, a GPS antenna and a laser radar.

Further, in the embodiment of this application, radiation dose measuring device carries out acquisition and processing to predetermineeing the radionuclide, and the measured data that obtain can include count rate, the characteristic peak count rate of all kinds of radionuclides, geiger miller counter sensitivity, cerium bromide detector detection efficiency, radar measurement height etc. that geiger miller counter measured.

It should be noted that, in the embodiment of the present application, fig. 13 is a schematic view illustrating a fifth implementation of the radiation dose measuring method provided in the embodiment of the present application, and as shown in fig. 13, the radiation dose measuring device is mounted on an unmanned aerial vehicle, and collects and processes a preset measuring point on the ground from the air.

For example, in the embodiment of the application, the radiation dose measuring device is hung on the abdomen of the unmanned aerial vehicle, and the preset measuring point on the ground is acquired and processed; in a radiation dose measuring device, a geiger miller counter is used for measuring the total count rate, the measuring frequency of which is 1 Hz; a cerium bromide detector collects energy spectrum data, and the measurement frequency of the cerium bromide detector is 1 Hz; shooting an earth surface environment image by using a high-resolution visible light camera, wherein the shooting frequency is 30 Hz; recording measurement position data by using a high-precision GPS receiver, wherein the measurement frequency is 10 Hz; measuring the distance between a radiation dose measuring device and a ground preset measuring point right below by using a high-precision laser radar, wherein the measuring frequency is 100 Hz; the radiation dose measuring device packs the actual measurement data collected every second into corresponding complete data of each frame, and sends the data to the client through wireless communication after compression coding.

It should be noted that, in the embodiments of the present application, the predetermined radionuclide is generated by a predetermined standard radioactive device; that is to say, this application has obtained the measured data through establishing a preset standard radioactivity device to utilize radiation dose measuring device to carry out the acquisition to its predetermined radionuclide of releasing and handle.

Step 202, sending the measured data to the client.

In the embodiment of the application, the radiation dose measuring device collects and processes the preset radionuclide of the preset measuring point, and after actual measurement data corresponding to the preset measuring point is obtained, the actual measurement data can be sent to the client.

It can be understood that, in the embodiment of the present application, after the radiation dose measuring device obtains the measured data, the measured data is sent to the client, so that the client can construct a training data set according to the measured data and the standard data, and train the initial inversion model to obtain the target inversion model.

In summary, in the embodiments of the present application, the target measurement area can be efficiently measured by using the radiation dose measuring device, so as to obtain rich data types; furthermore, training processing is carried out based on the actual measurement data and the standard data of the preset radionuclide to obtain a target inversion model, an accurate radiation dose result can be obtained according to the measurement data, and the target inversion model has excellent radiation dose measurement capability; moreover, a radiation dose visualization model can be generated according to a radiation dose result, so that a data presentation mode is more visual and more beneficial to interaction; the radiation dose measuring method provided by the embodiment of the application can be applied to daily monitoring of environmental radioactivity of nuclear medical facility equipment, and work of radioactive medical treatment at safe and reliable radioactivity level is guaranteed; the radioactivity monitoring system can also be used for daily monitoring of the environmental radioactivity of facilities and equipment of the nuclear power station, can efficiently and accurately measure the radioactivity horizontal distribution of daily production activities in a production area of the nuclear power station, and can timely find out potential artificial radionuclide leakage risks; the environmental radioactivity level can be measured in nuclear emergency accidents caused by nuclear tests and nuclear power station accidents, and the radioactive pollution source can be quickly positioned.

The embodiment of the application provides a radiation dose measuring method, wherein a client acquires target measuring data corresponding to a target measuring point; performing radiation dose inversion processing on the target measurement point data based on the target inversion model to obtain a radiation dose result of the target measurement point; the target inversion model is a prediction model for determining the radiation dose corresponding to the measuring point according to the measuring point data; the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to preset radioactive nuclides; the measured data is acquired by a radiation dose measuring device. The radiation dose measuring device collects and processes a preset radionuclide of a preset measuring point to obtain actual measurement data corresponding to the preset measuring point; wherein the preset radionuclide is generated by a preset standard radioactive device; and sending the measured data to the client. Therefore, in the application, the radiation dose measuring device is used for collecting and processing the preset radionuclide, the measured data are sent to the client, the client can train the initial inversion model based on the measured data and the standard data corresponding to the preset radionuclide to obtain a trained target inversion model, and the target inversion model is used for carrying out radiation dose inversion processing on the target measuring point to obtain a radiation dose result of the target measuring point; that is to say, this application is through gathering the preset radionuclide that preset standard radioactivity device generated to training the initial inversion model according to the standard data of preset radionuclide and the actual measurement data of actually gathering, can possess better training effect, and the target inversion model who obtains from this can carry out high-efficient and accurate inference to the radiation dose on earth's surface, possesses better radiation dose measuring ability.

Example two

Based on the above embodiments, exemplarily, in another embodiment of the present application, a preset standard radioactive device is established to generate a preset radionuclide, and a radiation dose value corresponding to the preset radionuclide is the standard data; the preset standard radioactive device can be a plurality of large plate concrete modules obtained by utilizing natural rock ore powder and an artificial radioactive nuclide radioactive source as fillers and cementing the fillers by high-grade cement.

Further, in the embodiment of the application, the radiation dose measuring device is mounted on an unmanned aerial vehicle, the unmanned aerial vehicle receives a remote control command sent by flight control, and the preset radionuclide located at the preset measuring point is collected and processed in the planned flight path; for example, the area corresponding to the preset measuring point may be an open sea area not adjacent to the land, and the size of the area is 100 × 100 meters; flying above the preset measuring point according to a Z shape, and traversing the corresponding area of the whole preset measuring point; wherein, apart from the fly height on ground can suitably select according to task demand and ground topography, unmanned aerial vehicle flying speed also can suitably select according to the task demand.

Further, in the embodiment of the application, during the flight measurement operation, the background count rates of the unmanned aerial vehicle and the cosmic rays need to be calculated, and then after the measured data is obtained, the background count rates of the unmanned aerial vehicle and the cosmic rays are deducted.

Further, in the embodiment of the present application, in the radiation dose measuring apparatus, a geiger miller counter is used for measurement of the total count rate, the measurement frequency of which is 1 Hz; a cerium bromide detector collects energy spectrum data, and the measurement frequency of the cerium bromide detector is 1 Hz; shooting an earth surface environment image by using a high-resolution visible light camera, wherein the shooting frequency is 30 Hz; recording measurement position data by using a high-precision GPS receiver, wherein the measurement frequency is 10 Hz; measuring the distance between a radiation dose measuring device and a ground preset measuring point right below by using a high-precision laser radar, wherein the measuring frequency is 100 Hz; the radiation dose measuring device packs the actual measurement data collected every second into corresponding complete data of each frame, and sends the data to the client through wireless communication after compression coding; after the acquisition of the measured data is completed, all the devices can be recovered to finish the measurement task.

Further, in the embodiment of the application, after the client obtains the measured data, the client may convert the measured position data in the measured data into position data of a ground coordinate system, and perform preprocessing on the energy spectrum data acquired by the cerium bromide detector, including smoothing filtering processing, automatic peak searching processing, local deduction processing, and the like, so as to obtain the preprocessed measured data, where the preprocessed measured data includes data corresponding to multiple different types of radionuclides; meanwhile, a training data set is constructed according to standard data corresponding to a preset measuring point and the preprocessed actual measurement data.

Further, in an embodiment of the present application, the initial inversion model may be a neural network model including an input layer, a fully-connected layer, a leaky layer, a convolutional layer, a pooling layer, and an output layer. Training the initial inversion model by using the training data set; specifically, the method for obtaining the target inversion model by training the initial inversion model according to the training data set may include: firstly, inputting measured data into an initial inversion model to obtain a first radiation dose corresponding to the measured data; then determining a loss function value corresponding to the initial inversion model according to the loss function model, the first radiation dose and the standard data; and finally, optimizing the initial inversion model by using the loss function value to obtain a target inversion model.

Further, in the embodiment of the application, a test data set can be further constructed, the trained inversion model is verified, the inversion effect of the target inversion model is determined to be expected, and therefore the target inversion model can be used for performing subsequent actual inversion operation.

Further, in the embodiment of the present application, the target inversion model and the method for generating the radiation dose visualization model may be integrated into software, and when a user uses the software to perform radiation dose inversion processing on a target measurement point, the software may not only automatically perform radiation dose inversion processing according to target measurement data, but also generate a corresponding visualization model according to a radiation dose inversion result.

Further, in the embodiment of the present application, a corresponding radiation dose visualization model may also be generated according to the radiation dose result after radiation dose inversion processing; specifically, the radiation dose result and the map data are fused to obtain a fused radiation dose result; then determining the radiation dose values of a plurality of measuring points in the map data according to an interpolation algorithm and the fused radiation dose result; sampling the radiation dose values of the measuring points, and determining the radiation dose values of the sampled measuring points; then generating an isosurface map according to the sampled radiation dose values of the measuring points; and finally, constructing a radiation dose visualization model according to the isosurface map.

Illustratively, in the embodiment of the application, a radiation dose measuring device is used for collecting and processing target measuring points to obtain target measuring data of the target measuring points, then the target measuring data are sent to a client, on the client, software stores the target measuring data as a local file, a user selects a data inversion function in the software, the software can automatically import the target measuring data, remove data with obvious abnormality in the target measuring data, then automatically execute preprocessing operation to obtain preprocessed target measuring data, and then load a target inversion model to perform radiation dose inversion processing on the preprocessed target measuring data to obtain a radiation dose result corresponding to the target measuring points; further, the software can automatically load map data, perform fusion processing on the radiation dose result and the map data, and generate a radiation dose visualization model based on an interpolation algorithm and the fused radiation dose result.

EXAMPLE III

Based on the foregoing embodiment, in another embodiment of the present application, fig. 14 is a schematic structural diagram of a client proposed in the embodiment of the present application, and as shown in fig. 14, a client 10 proposed in the embodiment of the present application may include an obtaining unit 11, a processing unit 12, a receiving unit 13, a determining unit 14, a training unit 15, a fusing unit 16, and a generating unit 17.

The acquiring unit 11 is configured to acquire target measurement data corresponding to a target measurement point.

The processing unit 12 is configured to perform radiation dose inversion processing on the target measurement data based on a target inversion model to obtain a radiation dose result of the target measurement point; the target inversion model is a prediction model for determining radiation dose corresponding to the measuring point according to the measuring point data; the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to preset radioactive nuclides; the measured data is acquired by a radiation dose measuring device.

The receiving unit 13 is configured to receive actually measured data sent by the radiation dose measuring device before the processing unit 12 performs radiation dose inversion processing on target measurement point data based on a target inversion model to obtain a radiation dose result of the target measurement point.

The determining unit 14 is configured to determine a training data set based on the measured data and standard data corresponding to a preset radionuclide.

The training unit 15 is configured to train the initial inversion model according to the training data set, so as to obtain the target inversion model.

Further, the training unit 15 is specifically configured to input the measured data into an initial inversion model, and obtain a first radiation dose corresponding to the measured data; determining a loss function value corresponding to the initial inversion model according to a loss function model, the first radiation dose and the standard data; and optimizing the initial inversion model by using the loss function value to obtain the target inversion model.

Further, the processing unit 12 is specifically configured to perform preprocessing on the target measurement data to obtain preprocessed data; and performing radiation dose inversion processing on the preprocessed data by using the target inversion model to obtain a radiation dose result.

The fusion unit 16 is configured to perform radiation dose inversion processing on the target measurement point data based on the target inversion model by the processing unit 12 to obtain a radiation dose result of the target measurement point, and then perform fusion processing on the radiation dose result and the map data to obtain a fused radiation dose result; wherein the map data includes the target measurement point.

The generating unit 17 is configured to generate a radiation dose visualization model corresponding to the radiation dose result according to an interpolation algorithm and the fused radiation dose result.

Further, the generating unit 17 is specifically configured to determine a radiation dose value of a first measurement point in the map data according to the interpolation algorithm and the fused radiation dose result; the first measuring point is other measuring points different from the target measuring point within a preset range in the map data; sampling the radiation dose value of the first measuring point to obtain the radiation dose value of a second measuring point; and generating the radiation dose visualization model based on the radiation dose value of the second measurement point.

Further, the generating unit 17 is further specifically configured to generate an isosurface map according to the radiation dose value of the second measurement point; and constructing the radiation dose visualization model based on the isosurface map.

Fig. 15 is a schematic diagram of a composition structure of the terminal according to the embodiment of the present disclosure, as shown in fig. 15, the terminal 10 according to the embodiment of the present disclosure may further include a first processor 18, a first memory 19 storing an executable instruction of the first processor 18, and further, the radiation dose measuring device 10 may further include a first communication interface 110, and a first bus 111 for connecting the first processor 18, the first memory 19, and the first communication interface 110.

In an embodiment of the present Application, the first Processor 18 may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a ProgRAMmable Logic Device (PLD), a Field ProgRAMmable Gate Array (FPGA), a Central Processing Unit (CPU), a controller, a microcontroller, and a microprocessor. It is understood that the electronic devices for implementing the above processor functions may be other devices, and the embodiments of the present application are not limited in particular. The first processor 18 may further comprise a first memory 19, which first memory 19 may be connected to the first processor 18, wherein the first memory 19 is adapted to store executable program code comprising computer operating instructions, and wherein the first memory 19 may comprise a high speed RAM memory and may further comprise a non-volatile memory, such as at least two disk memories.

In the embodiment of the present application, the first bus 111 is used to connect the first communication interface 110, the first processor 18, and the first memory 19 and the intercommunication among these devices.

In an embodiment of the application, the first memory 19 is used for storing instructions and data.

Further, in an embodiment of the present application, the first processor 18 is configured to obtain target measurement data corresponding to a target measurement point; performing radiation dose inversion processing on target measurement data based on a target inversion model to obtain a radiation dose result of the target measurement point; the target inversion model is a prediction model for determining radiation dose corresponding to the measuring point according to the measuring point data; the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to preset radioactive nuclides; the measured data is acquired by a radiation dose measuring device.

In practical applications, the first Memory 19 may be a volatile Memory (volatile Memory), such as a Random-Access Memory (RAM); or a non-volatile Memory (non-volatile Memory), such as a Read-Only Memory (ROM), a flash Memory (flash Memory), a Hard Disk (Hard Disk Drive, HDD) or a Solid-State Drive (SSD); or a combination of the above types of memories and provides instructions and data to the first processor 18.

In addition, each functional module in this embodiment may be integrated in one analysis unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated unit can be realized in a form of hardware or a form of a software functional module.

Fig. 16 is a schematic structural diagram of a first composition of the radiation dose measuring device according to the embodiment of the present invention, and as shown in fig. 16, the radiation dose measuring device 20 according to the embodiment of the present invention may include an acquisition unit 21 and a transmission unit 22,

the acquisition unit 21 is configured to acquire and process a preset radionuclide at a preset measurement point to obtain actual measurement data corresponding to the preset measurement point; wherein the predetermined radionuclide is a radionuclide generated by a predetermined standard radioactive device.

The sending unit 22 is configured to send the measured data to a client.

Fig. 17 is a schematic diagram of a second composition structure of the radiation dose measuring device according to the embodiment of the present disclosure, and as shown in fig. 17, the radiation dose measuring device 20 according to the embodiment of the present disclosure may include a geiger miller counter 21, a cerium bromide detector 22, a gamma spectrometer 23, a visible light camera 24, a GPS antenna 25, and a laser radar 26.

Fig. 18 is a schematic diagram showing a third composition structure of the radiation dose measuring device according to the embodiment of the present disclosure, and as shown in fig. 18, the radiation dose measuring device 20 according to the embodiment of the present disclosure may further include a second processor 27, a second memory 28 storing an executable instruction of the second processor 27, a second communication interface 29, and a second bus 210 for connecting the second processor 27, the second memory 28, and the second communication interface 29.

In an embodiment of the present Application, the second Processor 27 may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a ProgRAMmable Logic Device (PLD), a Field ProgRAMmable Gate Array (FPGA), a Central Processing Unit (CPU), a controller, a microcontroller, and a microprocessor. It is understood that the electronic devices for implementing the above processor functions may be other devices, and the embodiments of the present application are not limited in particular. The second processor 27 may further comprise a second memory 28, which second memory 28 may be connected to the second processor 27, wherein the second memory 28 is adapted to store executable program code comprising computer operating instructions, and wherein the second memory 28 may comprise a high speed RAM memory and may further comprise a non-volatile memory, such as at least two disk memories.

In an embodiment of the application, a second bus 210 is used to connect the second communication interface 29, the second processor 27 and the second memory 28 and the intercommunication among these devices.

In an embodiment of the present application, the second memory 28 is used for storing instructions and data.

Further, in an embodiment of the present application, the second processor 27 is configured to perform an acquisition process on a preset radionuclide at a preset measurement point to obtain measured data corresponding to the preset measurement point; wherein the predetermined radionuclide is a radionuclide generated by a predetermined standard radioactive device; and sending the measured data to a client.

In practical applications, the second Memory 28 may be a volatile Memory (volatile Memory), such as a Random-Access Memory (RAM); or a non-volatile Memory (non-volatile Memory), such as a Read-Only Memory (ROM), a flash Memory (flash Memory), a Hard Disk (Hard Disk Drive, HDD) or a Solid-State Drive (SSD); or a combination of the above types of memories and provides instructions and data to the second processor 27.

Based on the understanding that the technical solution of the present embodiment essentially or a part contributing to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium, and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the method of the present embodiment. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The embodiment of the application provides a radiation dose measuring device, a client and a terminal, wherein the client acquires target measuring data corresponding to a target measuring point; performing radiation dose inversion processing on the target measurement point data based on the target inversion model to obtain a radiation dose result of the target measurement point; the target inversion model is a prediction model for determining the radiation dose corresponding to the measuring point according to the measuring point data; the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to preset radioactive nuclides; the measured data is acquired by a radiation dose measuring device. The radiation dose measuring device collects and processes a preset radionuclide of a preset measuring point to obtain actual measurement data corresponding to the preset measuring point; wherein the preset radionuclide is generated by a preset standard radioactive device; and sending the measured data to the client. Therefore, in the application, the radiation dose measuring device is used for collecting and processing the preset radionuclide, the measured data are sent to the client, the client can train the initial inversion model based on the measured data and the standard data corresponding to the preset radionuclide to obtain a trained target inversion model, and the target inversion model is used for carrying out radiation dose inversion processing on the target measuring point to obtain a radiation dose result of the target measuring point; that is to say, this application is through gathering the preset radionuclide that preset standard radioactivity device generated to training the initial inversion model according to the standard data of preset radionuclide and the actual measurement data of actually gathering, can possess better training effect, and the target inversion model who obtains from this can carry out high-efficient and accurate inference to the radiation dose on earth's surface, possesses better radiation dose measuring ability.

Specifically, the program instructions corresponding to a radiation dose measuring method in the present embodiment may be stored on a storage medium such as an optical disc, a hard disk, or a usb disk; when program instructions in a storage medium corresponding to a radiation dose measurement method are read or executed by an electronic device, comprising the steps of:

performing radiation dose inversion processing on target measurement data based on a target inversion model to obtain a radiation dose result of the target measurement point; the target inversion model is a prediction model for determining radiation dose corresponding to the measuring point according to the measuring point data; the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to preset radioactive nuclides; the measured data is acquired by a radiation dose measuring device.

and sending the measured data to a client.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of implementations of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart block or blocks and/or flowchart block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks in the flowchart and/or block diagram block or blocks.

The above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application.

Claims

1. A radiation dose measuring method, applied to a client, the method comprising:

performing radiation dose inversion processing on the target measurement data based on a target inversion model to obtain a radiation dose result of the target measurement point; the target inversion model is a prediction model for determining radiation dose corresponding to the measuring point according to the measuring point data; the target inversion model is obtained by training based on a training data set determined by actual measurement data and standard data corresponding to preset radioactive nuclides; the measured data is acquired by a radiation dose measuring device.

2. The method of claim 1, wherein before performing a radiation dose inversion process on the target measurement point data based on a target inversion model to obtain a radiation dose result for the target measurement point, the method further comprises:

receiving measured data sent by a radiation dose measuring device;

determining a training data set based on the measured data and standard data corresponding to preset radioactive nuclides;

and training the initial inversion model according to the training data set to obtain the target inversion model.

3. The method of claim 2, wherein the training an initial inversion model from the training data set to obtain the target inversion model comprises:

inputting the measured data into an initial inversion model to obtain a first radiation dose corresponding to the measured data;

determining a loss function value corresponding to the initial inversion model according to a loss function model, the first radiation dose and the standard data;

and optimizing the initial inversion model by using the loss function value to obtain the target inversion model.

4. The method of claim 1, wherein the performing a radiation dose inversion process on the target measurement point data based on the target inversion model to obtain a radiation dose result for the target measurement point comprises:

preprocessing the target measurement data to obtain preprocessed data;

and performing radiation dose inversion processing on the preprocessed data by using the target inversion model to obtain a radiation dose result.

5. The method of claim 1 or 4, wherein after performing a radiation dose inversion process on the target measurement point data based on a target inversion model to obtain a radiation dose result of the target measurement point, the method further comprises:

performing fusion processing on the radiation dose result and the map data to obtain a fused radiation dose result; wherein the map data includes the target measurement point;

and generating a radiation dose visualization model corresponding to the radiation dose result according to an interpolation algorithm and the fused radiation dose result.

6. The method of claim 5, wherein generating a radiation dose visualization model corresponding to the radiation dose result according to the interpolation algorithm and the fused radiation dose result comprises:

determining a radiation dose value of a first measuring point in the map data according to the interpolation algorithm and the fused radiation dose result; the first measuring point is other measuring points different from the target measuring point within a preset range in the map data;

sampling the radiation dose value of the first measuring point to obtain the radiation dose value of a second measuring point;

and generating the radiation dose visualization model based on the radiation dose value of the second measurement point.

7. The method of claim 6, wherein generating the radiation dose visualization model based on the radiation dose value of the second measurement point comprises:

generating an isosurface map according to the radiation dose value of the second measuring point;

and constructing the radiation dose visualization model based on the isosurface map.

8. A radiation dosimetry method, for use in a radiation dosimetry device, the method comprising:

and sending the measured data to a client.

9. A client, characterized in that the client comprises an obtaining unit and a processing unit,

10. A radiation dose measuring device, characterized in that it comprises an acquisition unit and a transmission unit,

and the sending unit is used for sending the measured data to a client.

11. A terminal, characterized in that the terminal runs the client according to claim 9, the terminal comprising a first processor, a first memory storing instructions executable by the first processor, the instructions, when executed by the first processor, implementing the method according to any one of claims 1-7.

12. A radiation dose-measuring device comprising a geiger miller counter, a cerium bromide detector, a gamma spectrometer, a visible light camera, a global positioning system GPS antenna, a lidar, a second processor, a second memory having stored thereon instructions executable by the second processor to, when executed by the second processor, implement the method of claim 8.

13. A computer-readable storage medium, on which a program is stored, for application in a client and a radiation dose measuring device, wherein the program, when executed by a first processor, implements a method according to any one of claims 1-7; the program, when executed by a second processor, implements the method of claim 8.