Wristwatch type personal radiation monitor based on plastic scintillator

Abstract

The invention discloses a wristwatch type personal radiation monitor based on a plastic scintillator. The wristwatch type personal radiation monitor comprises a dial plate and a watchband, the scintillator is used for generating an optical signal when receiving radiation rays of the radiation source; the photomultiplier is used for converting the optical signal generated by the scintillator into an electric pulse signal; the radiation calculation module is used for calculating a corresponding radiation intensity value according to the electric pulse signal; the health data acquisition module is used for acquiring health condition data of the user; the historical radiation recording module is used for acquiring a historical radiation exposure condition of the user; the personalized threshold value generation module is used for generating a personalized alarm threshold value of the user according to the health condition data and the historical radiation exposure condition of the user; and the safety alarm module is used for comparing the radiation intensity value with an alarm threshold value, and sending out a safety alarm signal when the radiation intensity value exceeds the personalized alarm threshold value of the user. The health of the user can be protected, and the pertinence and flexibility of radiation monitoring are improved.

Description

Technical Field

[0001] The invention relates to the field of radiation detection, and in particular to a wristwatch-type personal radiation monitor based on a plastic scintillator. Background Art

[0002] Radiation monitors (dosimeters) are special instruments used to monitor and measure radiation (such as gamma rays) doses. Such instruments are widely used in medical, nuclear military, nuclear submarines, nuclear power plants, industrial non-destructive testing, isotope applications, and occupational disease prevention. Radiation monitors use highly sensitive detectors such as scintillation crystals or GM counters in conjunction with circuit modules to achieve accurate measurement of radiation.

[0003] Although existing radiation monitors already have many advanced functions and features, there are still some shortcomings in practical applications. Especially in application scenarios that require long-term and continuous monitoring of radiation doses, such as nuclear power plant workers, radiologists, etc., existing dosimeters may not be able to fully meet the needs. Therefore, it is particularly important to design a wristwatch-type personal dosimeter. The wristwatch-type personal radiation monitor can provide real-time monitoring, alarm functions, data storage and transmission, practicality, waterproofness and durability, etc. It can also better meet the needs of long-term and continuous monitoring of radiation doses, and provide workers with more comprehensive and reliable radiation protection.

[0004] However, the current wristwatch-type personal radiation monitors have the major problem of insufficient personalization. Personal radiation monitors cannot conduct targeted radiation monitoring and early warning for different users. For example, for special users such as pregnant women and children, early warning is required when the radiation intensity is lower (compared with normal adults); users in poor physical condition also need early warning when the radiation intensity is lower. Therefore, how to improve the pertinence and flexibility of radiation monitoring is a technical problem that needs to be solved urgently. Summary of the invention

[0005] In view of the above-mentioned deficiencies in the prior art, the technical problem to be solved by the present invention is: how to provide a wristwatch-type personal radiation monitor based on a plastic scintillator, which generates a user-personalized alarm threshold according to the user's health status data and historical radiation exposure conditions, and then sends a safety alarm signal when the radiation intensity value exceeds the user's personalized alarm threshold, thereby better protecting the user's health and improving the pertinence and flexibility of radiation monitoring.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0007] A plastic scintillator-based wristwatch-type personal radiation monitor, comprising a dial and a strap;

[0008] Also includes:

[0009] A scintillator, for generating a light signal when receiving radiation from a radiation source;

[0010] Photomultiplier tube, used to convert the light signal generated by the scintillator into an electrical pulse signal;

[0011] A radiation calculation module, used to calculate the corresponding radiation intensity value according to the electrical pulse signal;

[0012] Health data collection module, used to obtain the user's health status data;

[0013] Historical radiation record module, used to obtain the user's historical radiation exposure;

[0014] A personalized threshold generation module is used to generate a personalized alarm threshold for the user based on the user's health status data and historical radiation exposure;

[0015] The safety alarm module is used to compare the radiation intensity value with the user's personalized alarm threshold, and send out a safety alarm signal when the radiation intensity value exceeds the user's personalized alarm threshold.

[0016] Preferably, it also includes:

[0017] The display screen is used to receive and display the user's health status data, radiation intensity value and safety alarm signal.

[0018] Preferably, it also includes:

[0019] The motion data collection module is used to collect the user's motion data.

[0020] Preferably, the radiation calculation module includes:

[0021] The discrimination and shaping circuit is used to perform CR differential shaping and discrimination shaping on the electric pulse signal to obtain a square wave signal;

[0022] The signal acquisition module is used to count the square wave signal generated per second to obtain the square wave counting result;

[0023] The calculation module is used to generate a corresponding radiation intensity value according to the square wave counting result per second.

[0024] Preferably, the health data collection module includes:

[0025] The heart rate collection module is used to collect the user's heart rate status data.

[0026] Preferably, the health data collection module includes:

[0027] The blood pressure collection module is used to collect the user's blood pressure status data.

[0028] Preferably, the health data collection module includes:

[0029] The blood oxygen collection module is used to collect the user's blood oxygen saturation status data.

[0030] Preferably, the historical radiation recording module is used to obtain the radiation intensity value calculated by the radiation calculation module in real time; whenever the calculated radiation intensity value exceeds the set recording threshold, the current radiation intensity value is recorded; all recorded radiation intensity values ​​are accumulated, and the accumulated result is used as the user's historical radiation exposure.

[0031] Preferably, the personalized threshold generation module inputs the user's health status data and historical radiation exposure into a trained threshold prediction model, and outputs the user's personalized safety threshold; wherein the threshold prediction model is constructed based on a deep learning model.

[0032] Preferably, in the personalized threshold generation module, the steps of training the threshold prediction model are as follows:

[0033] S01: Obtain existing health status data and historical radiation exposure conditions as well as preset actual safety thresholds as training data;

[0034] S02: Build a threshold prediction model based on the convolutional neural network model;

[0035] S03: Input the training data into the threshold prediction model and output the predicted safety threshold;

[0036] S04: Calculate a loss function based on the predicted safety threshold and the corresponding actual safety threshold, and reversely optimize the model parameters of the threshold prediction model;

[0037] S05: Repeat steps S03 to S04 until the threshold prediction model converges.

[0038] Compared with the prior art, the wristwatch-type personal radiation monitor based on plastic scintillator in the present invention has the following beneficial effects:

[0039] The present invention designs a wristwatch-style (including a dial and a strap) radiation monitor. First, the wristwatch-style design makes the radiation measuring instrument as convenient as wearing a watch, and the user can monitor the radiation environment anytime and anywhere, which improves the convenience and acceptability of radiation monitoring. Secondly, because the wristwatch-style instrument is in close contact with the user, it can monitor the radiation conditions of the user's environment in real time, and provide radiation intensity information in a timely manner, which is conducive to better radiation monitoring. Finally, the wristwatch-style instrument can continuously monitor the user's radiation exposure and provide data support for subsequent health risk assessment and radiation dose management.

[0040] During the monitoring process, the radiation monitor of the present invention generates a personalized alarm threshold for the user according to the user's health status data and historical radiation exposure, thereby realizing a safety warning of radiation. First, by combining the user's health status data, the risk level of the user in the current radiation environment can be more accurately judged. For users with poor health or specific health problems, a lower alarm threshold can be generated so that an early warning can be issued when the radiation level is low, thereby better protecting the user's health and improving the pertinence and flexibility of radiation monitoring. Secondly, the personalized alarm can not only remind the user of the radiation level of the current environment, but also provide customized health advice according to the user's health status. For example, for sensitive groups such as pregnant women or children, they can be advised to avoid long-term exposure to the radiation environment, or provide other effective protective measures; in the event of a radiation accident or emergency, rescue resources can also be dispatched and allocated in priority according to the user's health status and the radiation level of the environment. For example, for users with poor health or in high-risk areas, rescue personnel and equipment can be arranged in priority for evacuation and treatment. Finally, the user's historical radiation exposure (the cumulative total amount of radiation the user has been exposed to) reflects the user's historical exposure to radiation. Generally speaking, the more radiation the user is exposed to, the more he needs to avoid radiation. Therefore, the present invention uses the user's historical radiation exposure as one of the bases for generating personalized alarm thresholds, which can better help users avoid radiation, thereby better protecting the user's health and further improving the pertinence and flexibility of radiation monitoring.

[0041] The radiation monitor of the present invention sends out a safety alarm signal when the radiation intensity value exceeds the user's personalized alarm threshold. First, when the radiation intensity value exceeds the user's personalized alarm threshold, a safety alarm signal can be immediately issued to remind the user to take timely measures to avoid radiation damage. Secondly, by recording each alarm event, combined with the user's health status data and historical radiation exposure, the user's radiation exposure pattern and risk level can be further analyzed, providing more comprehensive data support for subsequent radiation protection and health management. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to make the purpose, technical solution and advantages of the invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings, in which:

[0043] Figure 1 The logical block diagram of a wrist-watch-type personal radiation monitor based on plastic scintillator.

[0044] Figure 2 Schematic diagram calculated for radiation. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but only represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0046] It should be noted that similar numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. In the description of the present invention, it should be noted that the orientation or position relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. is based on the orientation or position relationship shown in the drawings, or the orientation or position relationship in which the invention product is usually placed when used, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance. In addition, the terms "horizontal", "vertical", etc. do not mean that the components are required to be absolutely horizontal or suspended, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted. In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0047] The following is a further detailed description through specific implementation methods:

[0048] Example:

[0049] This embodiment discloses a wristwatch-type personal radiation monitor based on a plastic scintillator.

[0050] like Figure 1As shown, a wristwatch-type personal radiation monitor based on a plastic scintillator comprises a dial and a strap;

[0051] Also includes:

[0052] (Plastic) scintillator, used to generate a photon signal of a certain wavelength when receiving radiation from a radiation source;

[0053] In this embodiment, the radiation source includes an α radiation source, a β radiation source and a γ radiation source.

[0054] Photomultiplier tube, used to convert the photon signal generated by the scintillator into an electrical pulse signal;

[0055] A radiation calculation module, used to calculate the corresponding radiation intensity value according to the electrical pulse signal;

[0056] Health data collection module, used to obtain the user's health status data;

[0057] Historical radiation record module, used to obtain the user's historical radiation exposure;

[0058] A personalized threshold generation module is used to generate a personalized alarm threshold for the user based on the user's health status data and historical radiation exposure;

[0059] The safety alarm module is used to compare the radiation intensity value with the user's personalized alarm threshold, and send out a safety alarm signal when the radiation intensity value exceeds the user's personalized alarm threshold.

[0060] In this embodiment, the scintillator, the photomultiplier tube, the radiation calculation module, the health data collection module, the historical radiation recording module, the personalized threshold generation module, and the safety alarm module are all installed in the installation cavity of the dial.

[0061] The present invention designs a wristwatch-style (including a dial and a strap) radiation monitor. First, the wristwatch-style design makes the radiation measuring instrument as convenient as wearing a watch, and the user can monitor the radiation environment anytime and anywhere, which improves the convenience and acceptability of radiation monitoring. Secondly, because the wristwatch-style instrument is in close contact with the user, it can monitor the radiation conditions of the user's environment in real time, and provide radiation intensity information in a timely manner, which is conducive to better radiation monitoring. Finally, the wristwatch-style instrument can continuously monitor the user's radiation exposure and provide data support for subsequent health risk assessment and radiation dose management.

[0062] During the monitoring process, the radiation monitor of the present invention generates a personalized alarm threshold for the user according to the user's health status data and historical radiation exposure, thereby realizing a safety warning of radiation. First, by combining the user's health status data, the risk level of the user in the current radiation environment can be more accurately judged. For users with poor health or specific health problems, a lower alarm threshold can be generated so that an early warning can be issued when the radiation level is low, thereby better protecting the user's health and improving the pertinence and flexibility of radiation monitoring. Secondly, the personalized alarm can not only remind the user of the radiation level of the current environment, but also provide customized health advice according to the user's health status. For example, for sensitive groups such as pregnant women or children, they can be advised to avoid long-term exposure to the radiation environment, or provide other effective protective measures; in the event of a radiation accident or emergency, rescue resources can also be dispatched and allocated in priority according to the user's health status and the radiation level of the environment. For example, for users with poor health or in high-risk areas, rescue personnel and equipment can be arranged in priority for evacuation and treatment. Finally, the user's historical radiation exposure (the cumulative total amount of radiation the user has been exposed to) reflects the user's historical exposure to radiation. Generally speaking, the more radiation the user is exposed to, the more he needs to avoid radiation. Therefore, the present invention uses the user's historical radiation exposure as one of the bases for generating personalized alarm thresholds, which can better help users avoid radiation, thereby better protecting the user's health and further improving the pertinence and flexibility of radiation monitoring.

[0063] The radiation monitor of the present invention sends out a safety alarm signal when the radiation intensity value exceeds the user's personalized alarm threshold. First, when the radiation intensity value exceeds the user's personalized alarm threshold, a safety alarm signal can be immediately issued to remind the user to take timely measures to avoid radiation damage. Secondly, by recording each alarm event, combined with the user's health status data and historical radiation exposure, the user's radiation exposure pattern and risk level can be further analyzed, providing more comprehensive data support for subsequent radiation protection and health management.

[0064] The specific implementation process also includes:

[0065] The display screen is used to receive and display the user's health status data, radiation intensity value and safety alarm signal. The display screen is set on the dial.

[0066] The present invention receives and displays the user's health status data, radiation intensity value and safety alarm signal through a display screen, so that the user can intuitively obtain relevant data, which is conducive to improving the user's usage experience.

[0067] The specific implementation process also includes:

[0068] The motion data acquisition module is used to collect the user's motion data. The motion data acquisition module can collect motion data through a six-axis sensor, such as collecting the user's walking steps.

[0069] The present invention collects the user's motion data through the motion data collection module, so that the relevant functions of intelligent detection can be realized on the basis of completing the radiation measurement, which is also conducive to improving the user experience.

[0070] In the specific implementation process, Figure 2 As shown, the radiation calculation module includes:

[0071] The discrimination and shaping circuit is used to perform CR (Constant Fraction Discriminator) differential shaping and discrimination shaping on the electric pulse signal to obtain a regular square wave signal;

[0072] In this embodiment, the input electric pulse signal is CR differentiated by a CR differential circuit to highlight the fast changing part of the signal (such as the rising edge). The CR discriminator is used to discriminate and shape the signal, and the CR discriminator is triggered when the signal reaches a certain fixed ratio (such as 10%, 20%, etc.).

[0073] The signal acquisition module is used to count the square wave signals generated per second to obtain the square wave counting result; wherein the number of square waves collected per second (CPS) is proportional to the radiation intensity of the radiation source, and the stronger the radiation, the more CPS;

[0074] The calculation module is used to generate a corresponding radiation intensity value according to the square wave counting result per second.

[0075] In this embodiment, a correspondence between the square wave counting result per second and the radiation intensity value is preset, and when the square wave counting result is obtained, the corresponding radiation intensity value can be directly generated.

[0076] In the specific implementation process, the health data collection module includes:

[0077] The heart rate collection module is used to collect the user's heart rate status data.

[0078] The blood pressure collection module is used to collect the user's blood pressure status data.

[0079] The blood oxygen (saturation) acquisition module is used to collect the user's blood oxygen saturation status data.

[0080] The present invention collects the user's heart rate status data, blood pressure status data and blood oxygen saturation status data through a health data collection module. Through these health status data, the user's risk level in the current radiation environment can be more accurately judged, thereby better protecting the user's health and improving the pertinence and flexibility of radiation monitoring.

[0081] During the specific implementation process, the historical radiation recording module is used to obtain the radiation intensity value calculated by the radiation calculation module in real time; whenever the calculated radiation intensity value exceeds the set recording threshold, the current radiation intensity value is recorded; all recorded radiation intensity values ​​are accumulated, and the accumulated result is used as the user's historical radiation exposure.

[0082] The present invention accumulates all recorded radiation intensity values ​​as the user's historical radiation exposure, reflecting the user's historical radiation exposure. Since the more radiation the user is exposed to, the more radiation he needs to avoid, by using the user's historical radiation exposure as one of the bases for generating personalized alarm thresholds, it can better help the user to avoid radiation, thereby better protecting the user's health and further improving the pertinence and flexibility of radiation monitoring.

[0083] In the specific implementation process, the personalized threshold generation module inputs the user's health status data and historical radiation exposure into the trained threshold prediction model and outputs the user's personalized safety threshold; the threshold prediction model is built based on the deep learning model;

[0084] Specifically, in the personalized threshold generation module, the steps for training the threshold prediction model are as follows:

[0085] S01: Obtain existing health status data and historical radiation exposure conditions as well as preset actual safety thresholds as training data;

[0086] S02: Build a threshold prediction model based on the convolutional neural network model;

[0087] In this embodiment, the number of input layer nodes of the convolutional neural network model is first determined. Then the hidden layer is designed, and the appropriate number of hidden layer nodes and activation function are selected. Then the number of output layer nodes is determined. Finally, the weights and biases of the neural network are initialized, which is completed by random initialization or other optimization methods.

[0088] S03: Input the training data into the threshold prediction model and output the predicted safety threshold;

[0089] S04: Calculate a loss function based on the predicted safety threshold and the corresponding actual safety threshold, and reversely optimize the model parameters of the threshold prediction model;

[0090] In this embodiment, the loss function adopts the cross entropy loss function.

[0091] S05: Repeat steps S03 to S04 until the threshold prediction model converges.

[0092] The present invention predicts the user's personalized safety threshold through a deep learning (convolutional neural network) model. The deep learning algorithm can learn the complex nonlinear relationship between the user's health status data and historical radiation exposure and the safety threshold from a large amount of training data, so that the model can more accurately predict the personalized safety threshold, providing a reliable basis for subsequent safety warnings, thereby improving the pertinence and flexibility of radiation monitoring.

[0093] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit the technical solution. Those skilled in the art should understand that those modifications or equivalent substitutions of the technical solution of the present invention that do not depart from the purpose and scope of the technical solution should be included in the scope of the claims of the present invention.

Claims

1. A wristwatch-type personal radiation monitor based on a plastic scintillator, comprising a dial and a strap; characterized in that: Also includes: A scintillator, for generating a light signal when receiving radiation from a radiation source; Photomultiplier tube, used to convert the light signal generated by the scintillator into an electrical pulse signal; A radiation calculation module, used to calculate the corresponding radiation intensity value according to the electrical pulse signal; Health data collection module, used to obtain the user's health status data; Historical radiation record module, used to obtain the user's historical radiation exposure; A personalized threshold generation module is used to generate a personalized alarm threshold for the user based on the user's health status data and historical radiation exposure; The safety alarm module is used to compare the radiation intensity value with the user's personalized alarm threshold, and send out a safety alarm signal when the radiation intensity value exceeds the user's personalized alarm threshold.

2. The wristwatch-type personal radiation monitor based on plastic scintillator as claimed in claim 1, characterized in that: Also includes: The display screen is used to receive and display the user's health status data, radiation intensity value and safety alarm signal.

3. The wristwatch-type personal radiation monitor based on plastic scintillator as claimed in claim 2, characterized in that: Also includes: The motion data collection module is used to collect the user's motion data.

4. The wristwatch-type personal radiation monitor based on plastic scintillator according to claim 1, characterized in that: The radiation calculation module includes: The discrimination and shaping circuit is used to perform CR differential shaping and discrimination shaping on the electric pulse signal to obtain a square wave signal; The signal acquisition module is used to count the square wave signal generated per second to obtain the square wave counting result; The calculation module is used to generate a corresponding radiation intensity value according to the square wave counting result per second.

5. The wristwatch-type personal radiation monitor based on plastic scintillator as claimed in claim 1, characterized in that: The health data collection module includes: The heart rate collection module is used to collect the user's heart rate status data.

6. The wristwatch-type personal radiation monitor based on plastic scintillator according to claim 1, characterized in that: The health data collection module includes: The blood pressure collection module is used to collect the user's blood pressure status data.

7. The wristwatch-type personal radiation monitor based on plastic scintillator according to claim 1, characterized in that: The health data collection module includes: The blood oxygen collection module is used to collect the user's blood oxygen saturation status data.

8. The wristwatch-type personal radiation monitor based on plastic scintillator as claimed in claim 1, characterized in that: The historical radiation recording module is used to obtain the radiation intensity value calculated by the radiation calculation module in real time; Whenever the calculated radiation intensity value exceeds the set recording threshold, the current radiation intensity value is recorded; All recorded radiation intensity values ​​are accumulated, and the accumulated result is used as the user's historical radiation exposure.

9. The wristwatch-type personal radiation monitor based on plastic scintillator according to claim 1, characterized in that: The personalized threshold generation module inputs the user's health status data and historical radiation exposure into the trained threshold prediction model and outputs the user's personalized safety threshold; the threshold prediction model is built based on a deep learning model.

10. The wristwatch-type personal radiation monitor based on plastic scintillator according to claim 9, characterized in that: In the personalized threshold generation module, the steps for training the threshold prediction model are as follows: S01: Obtain existing health status data and historical radiation exposure conditions as well as preset actual safety thresholds as training data; S02: Build a threshold prediction model based on the convolutional neural network model; S03: Input the training data into the threshold prediction model and output the predicted safety threshold; S04: Calculate a loss function based on the predicted safety threshold and the corresponding actual safety threshold, and reversely optimize the model parameters of the threshold prediction model; S05: Repeat steps S03 to S04 until the threshold prediction model converges.

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