Wearable radiation monitoring method and system

Abstract

The invention relates to the technical field of radiation detection, in particular to a wearable radiation monitoring method and system, and the method comprises the following steps: installing a radiation detector in a wearable device, continuously monitoring the radiation level in an environment, converting detection data from analog to digital signals, analyzing the fluctuation range of the data, and obtaining a radiation data set. According to the method, the distance of the radiation source is estimated by constructing the attenuation model, more specific environment information and an instant monitoring and alarm mechanism are provided, and remarkable improvement, classification of radiation levels and estimation of the distance of the radiation source are provided in the aspects of real-time performance and personalized safety management, so that a user can know the radiation environment where the user is located more accurately, and the user experience is improved. And the design of the built-in reflective lead plate further enhances the radiation shielding capability of the wearable device, which is particularly important for individuals working in a high-radiation environment.

Description

Technical Field

[0001] The present invention relates to the field of radiation detection technology, and in particular to a wearable radiation monitoring method and system. Background Art

[0002] The field of radiation detection technology includes a series of methods and equipment for identifying and measuring electromagnetic radiation and particle radiation. This field focuses on developing technologies that can accurately detect various types of radiation, including ionizing radiation such as gamma rays, X-rays and neutrons, and non-ionizing radiation such as ultraviolet and visible light. Radiation monitoring and quantification are carried out using radiation detectors, dosimeters and related electronic equipment. The core content also includes the performance optimization of detection equipment, efficient processing of data acquisition systems, and ensuring the accuracy and reliability of detection data.

[0003] Among them, the wearable radiation monitoring method refers to a technology that uses wearable devices to perform radiation detection and data recording, aiming to achieve real-time monitoring and data recording of environmental radiation levels by integrating radiation sensors into daily wearables such as watches, bracelets or clothing. Wearable devices are equipped with sensors, power supplies and data processing units, which can continuously monitor radiation levels and store data locally or transmit it to external devices for further analysis. The technical matters involved in the patent include sensor design, data acquisition methods and data transmission technology.

[0004] Existing radiation detection technologies mostly focus on static or fixed-point measurements, lacking flexibility and personalized monitoring capabilities. Although they can monitor radiation levels in specific environments, their effectiveness is limited in dynamically changing actual environments, such as when users move to new locations with different radiation levels. Traditional radiation monitoring equipment is bulky and inconvenient for individuals to carry, and does not provide instant feedback or real-time data processing, limiting its practicality in daily life. The response speed to emergencies is also insufficient because existing equipment lacks integration with devices that users carry on a daily basis. The shortcomings result in individuals being unable to immediately obtain critical information in the event of an emergency radiation leak or accident, resulting in unnecessary radiation exposure. For application scenarios that require continuous monitoring of radiation levels while on the move, existing technologies have failed to provide adequate solutions, limiting their effectiveness in individual health monitoring and environmental safety management. Summary of the invention

[0005] In order to solve the lack of flexibility and personalized monitoring capabilities in the prior art, although the radiation level in a specific environment can be monitored, the effect is limited in a dynamically changing actual environment, such as when the user moves to a new location with a different radiation level. Traditional radiation monitoring equipment is relatively bulky, not convenient for individuals to carry, and does not provide instant feedback or real-time data processing, which limits its practicality in daily life. The response speed to emergencies is also insufficient because the existing equipment lacks integration with the equipment that users carry on a daily basis. The shortcomings result in individuals being unable to immediately obtain key information in the event of an emergency radiation leak or accident, resulting in unnecessary radiation exposure. For application scenarios that require continuous monitoring of radiation levels on the move, the prior art has failed to provide sufficient solutions, limiting its effectiveness in individual health monitoring and environmental safety management. The embodiments of the present invention provide a wearable radiation monitoring method and system. The technical solution is as follows: In one aspect, a wearable radiation monitoring method is provided, the method comprising: S1: Install a radiation detector in the wearable device to continuously monitor the radiation level in the environment. The detection data is converted from analog to digital signals, and the fluctuation range of the data is analyzed to obtain a radiation data set. S2: inputting the radiation data set into a low-power processor designed for a wearable device, the processor performs an initial radiation intensity evaluation on the data, calculates the deviation between the data and a set safety threshold, classifies the radiation level, and obtains a radiation level evaluation result; S3: Based on the radiation level assessment result, the correlation between the change of radiation intensity and the distance of the radiation source is analyzed, an attenuation model is constructed, the distance between the radiation source and the wearable device and the radiation intensity are calculated, and an estimated value of the radiation source distance is obtained; S4: According to the estimated value of the radiation source distance, combined with the radiation level assessment result, with reference to the radiation distance and the radiation intensity, the real-time safety level is assessed. If the radiation intensity exceeds the threshold, an alarm is automatically triggered, including visual and auditory alarms, to obtain an alarm activation state; S5: Through the alarm activation state, a reflective lead plate is built into the wearable device to increase the radiation reflection area, the reflection and shielding effects of the lead plate on radiation are analyzed, and the radiation level around the wearable device is evaluated to obtain the radiation monitoring result of the wearable device.

[0006] As a further solution of the present invention, the radiation data set includes gamma ray intensity, beta ray count, and alpha ray energy; the radiation level assessment result includes radiation grade, measured intensity value, and deviation from a safety threshold; the radiation source distance estimation value includes estimated distance, average distance, and estimated volatility range; the alarm activation status includes the color of the luminous warning signal, the level of the alarm sound, and the frequency of the alarm; the wearable device radiation monitoring result includes real-time radiation level, shielding effect percentage of the lead plate, and radiation reflection intensity.

[0007] As a further solution of the present invention, a radiation detector is installed in a wearable device to continuously monitor the radiation level in the environment, and the detection data is converted from analog to digital signals, and the fluctuation range of the data is analyzed. The steps of obtaining the radiation data set are specifically as follows: S101: installing a radiation detector in the wearable device, selecting a matching device part, optimizing the stability of the radiation detector and the wearable device, avoiding the influence of the external environment on the original function of the wearable device, and obtaining the installation configuration of the radiation detector; S102: Based on the radiation detector installation configuration, continuously monitor the external environment radiation level, set the data collection frequency according to the monitoring requirements, adjust the sensitivity parameters of the wearable device to match the differentiated environmental variables, and obtain the environmental data set; S103: Using the environmental data set, converting analog signals into digital signals, optimizing data quality using signal processing technology, performing analysis on data fluctuations, adjusting signal processing parameters, capturing key data, and outputting a radiation data set.

[0008] As a further solution of the present invention, the radiation data set is input into a low-power processor designed for a wearable device, the processor performs an initial radiation intensity evaluation on the data, calculates the deviation between the data and a set safety threshold, and classifies the radiation level. The specific steps of obtaining the radiation level evaluation result are as follows: S201: inputting the radiation data set into a low-power processor designed for a wearable device, verifying the integrity and correctness of the radiation data, verifying that the radiation data is not lost and responding to a processing request through radiation data reception and cache processing, and obtaining a data input integrity verification result; S202: Based on the data input integrity verification result, perform an initialization evaluation of the radiation intensity, process the original radiation data, optimize the adaptability of the original radiation data processing by adjusting the receiving sensitivity to match the differentiated environmental variables, and obtain a data correction result; S203: Using the data correction result, calculate the deviation between the original radiation data and the set safety threshold, classify the radiation level according to the deviation value, and output the radiation level assessment result.

[0009] As a further solution of the present invention, the formula for calculating the radiation level evaluation result is as follows: ; in, Represents the radiation level assessment result, Represents the time factor, represents the raw radiation data, and represent the mean and standard deviation of the data, respectively. Represents compensation data associated with environmental factors, is the baseline deviation, is the time weight coefficient, is the normalized adjustment coefficient, is the environmental impact factor.

[0010] As a further solution of the present invention, based on the radiation level assessment result, the correlation between the change in radiation intensity and the distance from the radiation source is analyzed, an attenuation model is constructed, and the distance and radiation intensity between the radiation source and the wearable device are calculated. The steps of obtaining the estimated value of the radiation source distance are specifically as follows: S301: Based on the radiation level assessment result, identifying the change of radiation intensity, analyzing the correlation between radiation intensity and the distance of the radiation source, and obtaining the correlation analysis result of radiation intensity and distance by monitoring the attenuation of radiation intensity with increasing distance in the data; S302: using the analysis result of the correlation between radiation intensity and distance, setting model parameters to simulate the change of radiation intensity under differentiated distances, adjusting the model according to real-time monitoring data, matching the change of actual situation, and constructing a radiation attenuation model; S303: Apply the radiation attenuation model to calculate the distance between the radiation source and the wearable device, predict the radiation intensity at the differentiated distance points through the model, compare and correct it with the real-time monitoring data, and obtain the estimated value of the radiation source distance.

[0011] As a further solution of the present invention, according to the estimated value of the radiation source distance, combined with the radiation level assessment result, with reference to the radiation distance and the radiation intensity, the real-time safety level is assessed. If the radiation intensity exceeds the threshold, an alarm is automatically triggered, including visual and auditory alarms. The steps of obtaining the alarm activation state are specifically as follows: S401: Based on the estimated value of the radiation source distance, combined with the radiation level assessment result, according to the set radiation safety threshold standard, with reference to the distance of the radiation source, radiation intensity, environmental impact factor and time attenuation coefficient, a safety assessment value is calculated to obtain a safety level assessment result; S402: judging whether the real-time radiation intensity exceeds a preset safety threshold according to the safety level assessment result, and if so, automatically starting an alarm, initializing an alarm triggering mechanism, sending visual and auditory alarm signals, and obtaining an alarm ready state; S403: Apply the alarm preparation state, activate visual and auditory alarms, issue warnings through the display screen and speaker of the wearable device, verify that the user promptly identifies and responds to potential radiation risks, and obtain an alarm activation state.

[0012] As a further solution of the present invention, the formula for calculating the safety assessment value is as follows: ; in, is the safety assessment value, represents the weight of the radiation source distance, represents the weight of radiation intensity, Represents the weight of environmental impact factors, Represents the real-time distance between the radiation source and the measuring point. represents the radiation intensity measured in real time, Represents a quantitative assessment of the impact of environmental factors on radiation, Represents the time interval from the occurrence of the radiation event to the moment of evaluation.

[0013] As a further solution of the present invention, through the alarm activation state, a reflective lead plate is built into the wearable device to increase the radiation reflection area, the reflection and shielding effect of the lead plate on radiation is analyzed, and the radiation level around the wearable device is evaluated. The steps of obtaining the radiation monitoring result of the wearable device are specifically as follows: S501: using the alarm activation state, embedding a reflective lead plate in the wearable device, selecting a lead plate of appropriate size and thickness to match the wearable device structure, verifying the correct installation of the lead plate and optimizing the coverage area, evaluating the reflective and shielding capabilities of the wearable device for radiation, and obtaining the lead plate installation configuration; S502: Based on the lead plate installation configuration, the radiation reflection and shielding effect of the lead plate are analyzed, and a radiation detection instrument is used to measure the change in radiation intensity before and after the lead plate is installed. By comparing the change in radiation intensity, the shielding effectiveness of the lead plate is evaluated to obtain the lead plate shielding effect analysis result; S503: Using the lead plate shielding effect analysis result, evaluate the radiation level around the wearable device, combine the radiation data inside and outside the wearable device, analyze the change of radiation, and obtain the wearable device radiation monitoring result.

[0014] On the other hand, an electric vehicle state monitoring system is provided, the electric vehicle state monitoring system is used to execute the above electric vehicle state monitoring method, the system comprises: The radiation detection module is based on the radiation detector integrated in the wearable device to monitor the radiation level in the environment. The data is processed by an analog to digital signal converter, and the data fluctuation range is analyzed to obtain the radiation data set; The deviation calculation module inputs the radiation data set into the low-power processor, performs initialization evaluation on the data, calculates the deviation between the data and the safety threshold, classifies the radiation level, and obtains the radiation level evaluation result; The attenuation model building module analyzes the correlation between the change in radiation intensity and the distance to the radiation source through the radiation level assessment result, builds an attenuation model, calculates the distance and intensity between the radiation source and the device, and obtains an estimated value of the radiation source distance; The safety assessment module assesses the real-time safety level according to the estimated value of the radiation source distance and the radiation level assessment result, and automatically triggers visual and auditory alarms to obtain an alarm activation state if the radiation intensity exceeds a threshold; The shielding effect evaluation module uses the alarm activation state to embed a reflective lead plate in the wearable device, analyzes the reflection and shielding effect of the lead plate on radiation, evaluates the radiation level around the wearable device, and obtains the device radiation monitoring result.

[0015] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least: By integrating radiation detectors into wearable devices, continuous monitoring of radiation levels in the environment can be achieved. After the radiation data is converted and analyzed, the wearable device can evaluate the radiation intensity and respond to abnormal values ​​in a timely manner. When the ambient radiation intensity exceeds the safety threshold, the wearable device will automatically trigger visual and auditory alarms to enhance the user's safety awareness. Wearable devices also estimate the distance of the radiation source by building an attenuation model to provide more specific environmental information. The instant monitoring and alarm mechanism provides significant improvements in real-time and personalized safety management. The classification of radiation levels and the estimation of the distance to the radiation source enable users to more accurately understand the radiation environment they are in and make more informed decisions. The design of the built-in reflective lead plate further enhances the ability of wearable devices to shield radiation, which is particularly important for individuals working in high-radiation environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the workflow of the present invention; Figure 2 This is a detailed flow chart of S1 of the present invention; Figure 3 This is a detailed flow chart of S2 of the present invention; Figure 4 This is a detailed flow chart of S3 of the present invention; Figure 5 This is a detailed flow chart of S4 of the present invention; Figure 6 This is a detailed flow chart of S5 of the present invention; Figure 7 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0017] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0018] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0019] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0020] See also Figure 1 The embodiment of the present invention provides a wearable radiation monitoring method, and the processing flow of the method may include the following steps: S1: Install radiation detectors in wearable devices to continuously monitor the radiation level in the environment. The detection data is converted from analog to digital signals, the fluctuation range of the data is analyzed, and the data quality is verified to match the monitoring standard to obtain the radiation data set; S2: Input the radiation data set into a low-power processor designed for wearable devices. The processor performs an initial radiation intensity assessment on the data, calculates the deviation between the data and the set safety threshold, and classifies the radiation level according to the deviation result to obtain the radiation level assessment result. S3: Based on the radiation level assessment results, the correlation between the change in radiation intensity and the distance from the radiation source is analyzed, an attenuation model is constructed, the distance between the radiation source and the wearable device is calculated in the processor, the radiation intensity and the distance are calculated, and an estimated value of the radiation source distance is obtained; S4: Based on the estimated value of the radiation source distance, combined with the radiation level assessment result, with reference to the radiation distance and radiation intensity, the real-time safety level is assessed. If the radiation intensity exceeds the threshold, an alarm is automatically triggered, including visual and auditory alarms, to obtain the alarm activation status; S5: Through the alarm activation state, a reflective lead plate is built into the wearable device to increase the radiation reflection area, the reflection and shielding effect of the lead plate on radiation is analyzed, and the radiation level around the wearable device is evaluated to obtain the radiation monitoring result of the wearable device.

[0021] The radiation data set includes gamma ray intensity, beta ray count, and alpha ray energy. The radiation level assessment results include radiation grade, measured intensity value, and deviation from the safety threshold. The radiation source distance estimation includes estimated distance, average distance, and estimated volatility range. The alarm activation status includes the color of the luminous warning signal, the level of the alarm sound, and the frequency of the alarm. The wearable device radiation monitoring results include real-time radiation level, shielding effect percentage of the lead plate, and radiation reflection intensity.

[0022] See also Figure 2 , a radiation detector is installed in the wearable device to continuously monitor the radiation level in the environment. The detection data is converted from analog to digital signals, and the fluctuation range of the data is analyzed. The specific steps to obtain the radiation data set are as follows: S101: Install a radiation detector in the wearable device, select a matching device part, optimize the stability of the radiation detector and the wearable device, avoid the influence of the external environment on the original function of the wearable device, and obtain the execution process of the radiation detector installation configuration as follows; When installing a radiation detector in a wearable device, the first task is to select the appropriate device location. The key to the selection is not to interfere with the original function of the device, and to optimize the stability and wearability of the radiation detector. The installation location of the radiation detector depends on the design of the device and the user's wearing habits, such as the side or back of the watch, which provides sufficient space and has little impact. During the installation process, it is necessary to consider the impact of the weight and size of the detector on the balance of the device to avoid the device from shifting or loosening during exercise or daily activities. To ensure the performance and accuracy of the detector, the fixing mechanism of the device must be adjusted according to changes in the external environment, and a waterproof layer or shockproof pad must be added to adapt to outdoor activities or humid environments. The installation configuration must also take into account the power requirements of the device and the effective transmission of the signal to ensure the stability of the power connection and the accuracy of the signal transmission. Through repeated testing and user feedback, the installation configuration is continuously optimized, and the fixing structure and power wiring are adjusted to achieve the best user experience and performance, and the radiation detector installation configuration is obtained.

[0023] S102: Based on the installation configuration of the radiation detector, the radiation level of the external environment is continuously monitored, the data collection frequency is set according to the monitoring requirements, and the sensitivity parameters of the wearable device are adjusted to match the differentiated environmental variables. The execution process of obtaining the environmental data set is as follows; Wearable devices must adjust their data collection frequency to adapt to different radiation intensities. The setting of data collection frequency depends on the characteristics of the monitored environment. For example, around nuclear power plants or near medical facilities with high radioactivity, the collection frequency needs to be increased to capture more critical data. It is also crucial to adjust the sensitivity parameters of wearable devices to ensure that the equipment can maintain data accuracy and consistency under changing environmental conditions. Sensitivity adjustment relies on real-time monitoring data and needs to be dynamically optimized through algorithms to handle data fluctuations from changes in radiation levels. During the processing, the system will evaluate whether the sensitivity needs to be adjusted based on the preset threshold to ensure the representativeness of data collection and the integrity of the data set. Effective monitoring under various environmental conditions can be achieved, while ensuring the long-term stable operation of wearable devices and the safety of users, and obtaining an environmental data set.

[0024] S103: Using the environmental data set, converting analog to digital signals, optimizing data quality using signal processing technology, performing analysis on data fluctuations, adjusting signal processing parameters, capturing key data, and outputting the radiation data set. The execution process is as follows; By using signal processing technology, the data quality is optimized according to the formula: ; In the formula, Represents the quantitative value of the optimized data quality, Representative signal samples, Represents the weight coefficient of the signal sample, represents the sample size; During signal processing, each signal sample Different weights are assigned according to the environmental characteristics and importance of the source ,For example, samples originating from areas with higher radiation levels are given higher weights; There are 5 samples, the signal values ​​are 10, 20, 30, 40, 50, and the corresponding weights are 1, 2, 3, 4, 5. The weighted average method is used to calculate the optimized data quality. The process is as follows: ; The results show that the quantitative value of data quality after considering the weight is 70, which reflects the importance of different signal samples and their impact on the overall data quality, and effectively reflects the effect and value of data processing technology in practical applications.

[0025] See also Figure 3 , the radiation data set is input into a low-power processor designed for wearable devices. The processor performs an initial evaluation of the radiation intensity of the data, calculates the deviation between the data and the set safety threshold, and classifies the radiation level. The specific steps to obtain the radiation level evaluation result are as follows: S201: Input the radiation data set into the low-power processor designed for the wearable device, verify the integrity and correctness of the radiation data, verify that the radiation data is not lost and respond to the processing request through radiation data reception and cache processing, and obtain the execution flow of the data input integrity verification result as follows; The integrity and correctness of the radiation data needs to be verified, which includes checking whether the data packet is complete and has no defects, and whether the data format meets the predefined standards. During the data reception and cache processing, special attention is paid to ensuring that the data is not lost and can effectively respond to processing requests, which involves the use of error detection and correction algorithms to ensure accurate data transmission. For example, a cyclic redundancy check (CRC) can be used to verify the integrity of the data. It is necessary to ensure that the processor's cache is large enough to handle the high load encountered when receiving high-frequency update data. It can ensure that each data transmission can be accurately recorded and processed, and ensure that in actual applications, the device can reliably process radiation data from different environments and obtain data input integrity verification results.

[0026] S202: Based on the data input integrity verification result, the radiation intensity is initially evaluated, the original radiation data is processed, and the adaptability of the original radiation data processing is optimized by adjusting the receiving sensitivity to match the differentiated environmental variables. The execution process of obtaining the data correction result is as follows; Processing raw radiation data and adjusting the receiving sensitivity to match differentiated environmental variables includes analyzing outliers in the data and adjusting the parameters of the data processing algorithm according to specific environmental conditions, such as adjusting the threshold and gain of the filter, etc., to optimize the adaptability of raw radiation data processing. The data correction process also needs to rely on highly accurate algorithms, such as adaptive filtering and dynamic range adjustment technology. Technology can help equipment better adapt to changes in the environment and reduce potential errors and deviations, which not only improves the quality and availability of data, but also ensures the reliability and effectiveness of equipment in complex environments. It is crucial to ensure that the equipment can provide accurate and reliable data under various operating conditions and obtain data correction results.

[0027] S203: Using the data correction result, calculate the deviation between the original radiation data and the set safety threshold, classify the radiation level according to the deviation value, and output the radiation level assessment result. The execution process is as follows; The formula for calculating the radiation level assessment result is as follows: ; in, Represents the radiation level assessment result, Represents the time factor, represents the raw radiation data, and represent the mean and standard deviation of the data, respectively. Represents compensation data associated with environmental factors, is the baseline deviation, is the time weight coefficient, is the normalized adjustment coefficient, is the environmental impact factor; Parameter meaning and setting value: is the baseline deviation, which is set according to the baseline radiation level of historical data and is set to 0.5, reflecting the basic radiation level when there is no variable effect; is the time weight coefficient, which is calculated by the average change rate of hourly radiation data in the past 24 hours and is set to 0.05, representing the impact weight of time. This coefficient reflects the sensitivity of time changes to radiation impact; is the normalized adjustment coefficient, according to The coefficient of variation of the data was calculated and set to 0.3 to adjust the effect of the standard deviation of the original radiation data on the results. This coefficient balances the extreme values ​​in the data set; is the environmental impact coefficient, which is obtained from relevant environmental monitoring equipment, such as the weighted average of temperature and humidity, and is set to 0.2 to reflect the impact of environmental variables; Substitute the parameters into the formula for calculation: Set at a certain moment, time factor Hour (12-hour daytime mark), raw radiation data Unit, average value Unit, standard deviation Unit, Environmental Factors units (negative values ​​indicate some environmental attenuation effect); ; The results show that under given conditions, after correction for time, raw data normalization and environmental factors, the radiation level has increased significantly compared to the baseline level, indicating that the radiation level is high during a specific period of time and corresponding safety measures or further monitoring are needed.

[0028] See also Figure 4 Based on the radiation level assessment results, the correlation between the change in radiation intensity and the distance from the radiation source is analyzed, an attenuation model is constructed, and the distance and radiation intensity between the radiation source and the wearable device are calculated. The specific steps to obtain the estimated value of the radiation source distance are as follows: S301: Based on the radiation level assessment result, identify the change of radiation intensity, analyze the correlation between radiation intensity and the distance of the radiation source, and obtain the analysis result of the correlation between radiation intensity and distance by monitoring the attenuation of radiation intensity with increasing distance in the data. The execution process is as follows; Analyzing the distance correlation between radiation intensity and radiation sources involves observing the attenuation of radiation intensity as distance increases through monitoring data. The analysis requires detailed statistical and regression analysis of the data to determine how radiation intensity changes with distance. For example, an exponential decay model is used to describe the relationship between radiation intensity and distance. This model assumes that radiation intensity decays exponentially with distance. The setting and adjustment of model parameters are based on real-time data collected from environmental monitoring devices to ensure the accuracy and reliability of the analysis results. It can reveal the potential location and radiation level of radiation sources, provide a scientific basis for subsequent safety measures and protection strategies, and can also be used to optimize the radiation detection function of wearable devices. By adjusting the sensitivity of the sensor and the data collection strategy, it can more accurately reflect the real-time changes in radiation intensity and obtain the analysis results of the correlation between radiation intensity and distance.

[0029] S302: Using the analysis results of the correlation between radiation intensity and distance, set model parameters to simulate the change of radiation intensity under differentiated distances, adjust the model according to real-time monitoring data, match the changes in the actual situation, and construct the radiation attenuation model. The execution process is as follows; The model parameters are set to simulate the changes in radiation intensity at different distances. The simulation process needs to adjust the model according to real-time monitoring data to ensure that the model can accurately match the changes in the actual situation. During the model construction process, various model parameters, such as attenuation coefficient and baseline radiation intensity, need to be set and verified in detail to ensure that the model can effectively simulate the physical behavior of radiation intensity changing with distance. Through continuous data input and model optimization, the model not only provides theoretical prediction capabilities, but can also be actually applied to on-site environmental monitoring, providing accurate radiation level warnings and radiation protection recommendations for wearable devices, and building a radiation attenuation model.

[0030] S303: Apply the radiation attenuation model to calculate the distance between the radiation source and the wearable device, predict the radiation intensity at the differentiated distance points through the model, compare and correct it with the real-time monitoring data, and obtain the estimated value of the radiation source distance. The execution process is as follows; Apply the radiation attenuation model to calculate the distance between the radiation source and the wearable device according to the formula: ; In the formula, Represents the distance between the radiation source and the device, represents the radiation intensity at the reference point, Represents the currently measured radiation intensity, represents the radiation attenuation coefficient; Set the radiation intensity at the reference point The radiation intensity measured by the current device is 100 units. is 50 units, the radiation attenuation coefficient is 0.1; Substitute the parameters into the formula for calculation: ; The results show that the distance between the radiation source and the equipment is approximately 6.93 unit distances. This calculation not only provides an estimate of the distance of the radiation source, but also helps to adjust and optimize the radiation monitoring strategy in practical applications to ensure the accuracy of the data and the safe operation of the equipment.

[0031] See also Figure 5 , according to the estimated value of the radiation source distance, combined with the radiation level assessment results, with reference to the radiation distance and radiation intensity, the real-time safety level is assessed. If the radiation intensity exceeds the threshold, an alarm is automatically triggered, including visual and auditory alarms. The specific steps to obtain the alarm activation status are: S401: Based on the estimated value of the radiation source distance, combined with the radiation level assessment result, according to the set radiation safety threshold standard, with reference to the distance of the radiation source, radiation intensity, environmental impact factor and time attenuation coefficient, the safety assessment value is calculated to obtain the execution process of the safety level assessment result as follows; The formula for calculating the safety assessment value is as follows: ; in, is the safety assessment value, represents the weight of the radiation source distance, represents the weight of radiation intensity, Represents the weight of environmental impact factors, Represents the real-time distance between the radiation source and the measuring point. represents the radiation intensity measured in real time, Represents a quantitative assessment of the impact of environmental factors on radiation, represents the time interval from the occurrence of the radiation event to the moment of assessment; Parameter meaning and setting value: is the radiation source distance weight, which is set to 0.5, reflecting the importance of distance to safety assessment. According to the analysis of historical accident data, farther radiation sources have less impact on the human body; is the actual distance between the radiation source and the measuring point, which is 300 meters, obtained through geographic information system (GIS) and field measurement. is the radiation intensity weight, which is set to 0.3, reflecting the proportion of real-time radiation intensity in safety assessment and is set according to radiation protection standards; The radiation intensity was measured in real time and was 150 μSv / h, obtained using a portable radiation measuring instrument; is the weight of the environmental impact factor, which is set to 0.2. It takes into account the impact of the environment on radiation dispersion and absorption and is adjusted based on the environmental radiation background value; For the quantitative assessment of the impact of environmental factors on radiation, it is calculated as 80, based on the environmental radiation background monitoring data; is the time interval from the occurrence of the radiation event to the evaluation time. The absolute value is taken and the square root is used to simulate the decay of radiation intensity over time. The measured time is 2 hours, that is, ; Substitute the parameters into the formula for calculation: calculate ,but: ; The results show the comprehensive safety assessment value of the radiation environment under the current parameters. This value is within the safety standard threshold, indicating that the current environment is in a relatively safe state. By analyzing the relationship between this value and the threshold, decision makers can further adjust protective measures or evacuation plans.

[0032] S402: According to the safety level assessment result, determine whether the real-time radiation intensity exceeds the preset safety threshold. If it exceeds, automatically start the alarm, initialize the alarm trigger mechanism, send visual and auditory alarm signals, and obtain the execution process of the alarm preparation state as follows; Collect and analyze real-time data from radiation detectors, evaluate the comparison results with preset thresholds, and if the radiation intensity exceeds the safe range, the system automatically starts the alarm trigger mechanism, including initializing the alarm module inside the system. The setting of the alarm trigger mechanism needs to ensure a rapid response under any conditions, which involves multiple inspection processes to avoid false alarms. After activation, the alarm system will send visual and auditory alarm signals, including flashing LED lights on the device or displaying warning information on the screen, and sound alarms through speakers. The purpose of a series of operations is to ensure that users can notice potential dangers and take measures at the first time. It is a direct reflection of the equipment's responsiveness and the effectiveness of the alarm system, ensuring that the user's safety can be effectively protected in actual use and that the alarm is ready.

[0033] S403: Apply the alarm ready state, activate the visual and auditory alarms, and issue warnings through the display and speaker of the wearable device to verify that the user promptly identifies and responds to potential radiation risks. The execution process of obtaining the alarm activated state is as follows; Through the display and speaker of the wearable device, the display of the device will display clear warning information, and the speaker will emit a continuous alarm sound. The warning is intended to attract the user's attention and make him realize that the radiation level in the surrounding environment has reached or exceeded the safety threshold. Verifying the user's timely identification and response process is a key part of evaluating the effectiveness of the alarm system. It is necessary to examine the user's behavioral response after receiving the alarm, such as whether measures are taken to reduce radiation exposure. Through field testing and user feedback, the design of the alarm system can be further optimized to ensure that users can be effectively reminded in emergency situations. It not only shows the effectiveness of the device function, but also reflects the reliability of the alarm system in actual operation. It is of great value for subsequent equipment upgrades and functional improvements to obtain the alarm activation status.

[0034] See also Figure 6 , through the alarm activation state, a reflective lead plate is built into the wearable device to increase the radiation reflection area, the reflection and shielding effect of the lead plate on radiation is analyzed, and the radiation level around the wearable device is evaluated. The specific steps to obtain the radiation monitoring results of the wearable device are as follows: S501: Using the alarm activation state, a reflective lead plate is built into the wearable device, a lead plate of appropriate size and thickness is selected to match the wearable device structure, the correct installation of the lead plate is verified and the coverage area is optimized, and the reflection and shielding capabilities of the wearable device to radiation are evaluated. The execution process of the lead plate installation configuration is obtained as follows; The process of building reflective lead plates into wearable devices involves selecting lead plates of appropriate size and thickness to match the structure of the wearable device. Factors that need to be considered include the weight, flexibility, and compatibility of the lead plates with the device structure. For example, the thickness and size of the lead plates should be selected to maximize the reflection and shielding of radiation without affecting the comfort and operability of the device. It is critical to verify the correct installation of the lead plates, which includes ensuring that the lead plates can be stably fixed in the device and testing the reliability of the fixing method of the lead plates through experiments. Optimizing the coverage area is a delicate adjustment process that requires multiple tests to determine the optimal lead plate coverage configuration, ensure that every part is effectively protected, evaluate the wearable device's ability to reflect and shield radiation, ensure that the device can effectively protect users from radiation harm in actual use, and obtain the lead plate installation configuration.

[0035] S502: Based on the lead plate installation configuration, the radiation reflection and shielding effect of the lead plate are analyzed, and the radiation intensity change before and after the lead plate is installed is measured by a radiation detection instrument. By comparing the radiation intensity change, the shielding effectiveness of the lead plate is evaluated, and the execution process of obtaining the lead plate shielding effect analysis result is as follows; The radiation reflection and shielding effect of the lead plate are analyzed. This process includes using radiation detection instruments to measure the change in radiation intensity before and after the installation of the lead plate. In the specific operation, the radiation source is set to a fixed distance between the lead plates, and the radiation intensity data before and after the installation of the lead plate is recorded under the same environmental conditions. The shielding effectiveness of the lead plate can be calculated, that is, how much the lead plate can reduce the radiation intensity, which is expressed as a percentage reduction in radiation intensity. The shielding effect of the lead plate is the most important performance indicator. Through detailed data comparison and analysis, not only the percentage of radiation shielding by the lead plate should be included, but also the specific effects of the material, thickness and size of the lead plate on the shielding effect should be detailed, providing a scientific basis for the further optimization of the lead plate and obtaining the analysis results of the lead plate shielding effect.

[0036] S503: Using the analysis results of the lead shielding effect, evaluating the radiation level around the wearable device, combining the radiation data inside and outside the wearable device, analyzing the change of radiation, and obtaining the radiation monitoring results of the wearable device. The execution process is as follows; Evaluate the radiation level around wearable devices, which includes combining radiation data from inside and outside the wearable device and analyzing changes in radiation. The key is to understand and interpret the shielding effect of the device under different radiation levels, including the recording and analysis of radiation data of the device under different usage environments. Through real-time monitoring data, the changing trend of the radiation level of the device under the protection of the lead plate can be observed, and the shielding effectiveness of the lead plate in actual use can be evaluated. Comprehensive analysis of internal and external radiation data helps to fully understand the performance of the device in radiation protection and ensure the safety of users during use, including the specific values ​​of the radiation level, the changing trend and the actual performance of the lead plate shielding effect. The data is of great value for further improving equipment design and improving user protection effectiveness, and obtaining wearable device radiation monitoring results.

[0037] On the other hand, an electric vehicle state monitoring system is provided, and the electric vehicle state monitoring system is used to execute the above electric vehicle state monitoring method, and the system includes: The radiation detection module is based on the radiation detector integrated in the wearable device to monitor the radiation level in the environment. The data is processed by an analog to digital signal converter, and the data fluctuation range is analyzed to obtain the radiation data set; The deviation calculation module inputs the radiation data set into the low-power processor, performs initial evaluation on the data, calculates the deviation between the data and the safety threshold, classifies the radiation level, and obtains the radiation level evaluation result; The attenuation model building module analyzes the correlation between the change in radiation intensity and the distance from the radiation source through the radiation level assessment results, builds an attenuation model, calculates the distance and intensity between the radiation source and the equipment, and obtains an estimated value of the radiation source distance; The safety assessment module evaluates the real-time safety level based on the estimated value of the radiation source distance and the radiation level assessment result. If the radiation intensity exceeds the threshold, the visual and auditory alarms are automatically triggered to obtain the alarm activation status; The shielding effect evaluation module uses the alarm activation status to build a reflective lead plate into the wearable device, analyzes the reflection and shielding effect of the lead plate on radiation, evaluates the radiation level around the wearable device, and obtains the radiation monitoring results of the device.

[0038] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A wearable radiation monitoring method, characterized in that: The following steps are involved: S1: Install a radiation detector in the wearable device to continuously monitor the radiation level in the environment. The detection data is converted from analog to digital signals, and the fluctuation range of the data is analyzed to obtain a radiation data set. S2: inputting the radiation data set into a low-power processor designed for a wearable device, the processor performs an initial radiation intensity evaluation on the data, calculates the deviation between the data and a set safety threshold, classifies the radiation level, and obtains a radiation level evaluation result; S3: Based on the radiation level assessment result, the correlation between the change of radiation intensity and the distance of the radiation source is analyzed, an attenuation model is constructed, the distance between the radiation source and the wearable device and the radiation intensity are calculated, and an estimated value of the radiation source distance is obtained; S4: According to the estimated value of the radiation source distance, combined with the radiation level assessment result, with reference to the radiation distance and the radiation intensity, the real-time safety level is assessed. If the radiation intensity exceeds the threshold, an alarm is automatically triggered, including visual and auditory alarms, to obtain an alarm activation state; S5: Through the alarm activation state, a reflective lead plate is built into the wearable device to increase the radiation reflection area, the reflection and shielding effects of the lead plate on radiation are analyzed, and the radiation level around the wearable device is evaluated to obtain the radiation monitoring result of the wearable device.

2. The wearable radiation monitoring method according to claim 1, characterized in that: The radiation data set includes gamma-ray intensity, beta-ray count, and alpha-ray energy; the radiation level assessment result includes radiation grade, measured intensity value, and deviation from a safety threshold; the radiation source distance estimate includes estimated distance, average distance, and estimated volatility range; the alarm activation status includes the color of the luminous warning signal, the level of the alarm sound, and the frequency of the alarm; the wearable device radiation monitoring result includes real-time radiation level, shielding effect percentage of the lead plate, and radiation reflection intensity.

3. The wearable radiation monitoring method according to claim 1, characterized in that: Install a radiation detector in the wearable device to continuously monitor the radiation level in the environment. The detection data is converted from analog to digital signals, and the fluctuation range of the data is analyzed. The specific steps to obtain the radiation data set are as follows: S101: installing a radiation detector in the wearable device, selecting a matching device part, optimizing the stability of the radiation detector and the wearable device, avoiding the influence of the external environment on the original function of the wearable device, and obtaining the installation configuration of the radiation detector; S102: Based on the radiation detector installation configuration, continuously monitor the external environment radiation level, set the data collection frequency according to the monitoring requirements, adjust the sensitivity parameters of the wearable device to match the differentiated environmental variables, and obtain the environmental data set; S103: Using the environmental data set, converting analog signals into digital signals, optimizing data quality using signal processing technology, performing analysis on data fluctuations, adjusting signal processing parameters, capturing key data, and outputting a radiation data set.

4. The wearable radiation monitoring method according to claim 1, characterized in that: The radiation data set is input into a low-power processor designed for wearable devices. The processor performs an initial radiation intensity evaluation on the data, calculates the deviation between the data and a set safety threshold, and classifies the radiation level. The specific steps of obtaining the radiation level evaluation result are as follows: S201: inputting the radiation data set into a low-power processor designed for a wearable device, verifying the integrity and correctness of the radiation data, verifying that the radiation data is not lost and responding to a processing request through radiation data reception and cache processing, and obtaining a data input integrity verification result; S202: Based on the data input integrity verification result, perform an initialization evaluation of the radiation intensity, process the original radiation data, optimize the adaptability of the original radiation data processing by adjusting the receiving sensitivity to match the differentiated environmental variables, and obtain a data correction result; S203: Using the data correction result, calculate the deviation between the original radiation data and the set safety threshold, classify the radiation level according to the deviation value, and output the radiation level assessment result.

5. The wearable radiation monitoring method according to claim 4, characterized in that: The formula for calculating the radiation level assessment result is as follows: ； in, Represents the radiation level assessment result, Represents the time factor, represents the raw radiation data, and represent the mean and standard deviation of the data, respectively. Represents compensation data associated with environmental factors, is the baseline deviation, is the time weight coefficient, is the normalized adjustment coefficient, is the environmental impact factor.

6. The wearable radiation monitoring method according to claim 1, characterized in that: Based on the radiation level assessment result, the correlation between the change of radiation intensity and the distance of the radiation source is analyzed, an attenuation model is constructed, and the distance and radiation intensity between the radiation source and the wearable device are calculated. The steps of obtaining the estimated value of the radiation source distance are specifically as follows: S301: Based on the radiation level assessment result, identifying the change of radiation intensity, analyzing the correlation between radiation intensity and the distance of the radiation source, and obtaining the correlation analysis result of radiation intensity and distance by monitoring the attenuation of radiation intensity with increasing distance in the data; S302: using the analysis result of the correlation between radiation intensity and distance, setting model parameters to simulate the change of radiation intensity under differentiated distances, adjusting the model according to real-time monitoring data, matching the change of actual situation, and constructing a radiation attenuation model; S303: Apply the radiation attenuation model to calculate the distance between the radiation source and the wearable device, predict the radiation intensity at the differentiated distance points through the model, compare and correct it with the real-time monitoring data, and obtain the estimated value of the radiation source distance.

7. The wearable radiation monitoring method according to claim 1, characterized in that: According to the estimated value of the radiation source distance, combined with the radiation level assessment result, with reference to the radiation distance and the radiation intensity, the real-time safety level is assessed. If the radiation intensity exceeds the threshold, an alarm is automatically triggered, including visual and auditory alarms. The steps for obtaining the alarm activation state are specifically as follows: S401: Based on the estimated value of the radiation source distance, combined with the radiation level assessment result, according to the set radiation safety threshold standard, with reference to the distance of the radiation source, radiation intensity, environmental impact factor and time attenuation coefficient, a safety assessment value is calculated to obtain a safety level assessment result; S402: judging whether the real-time radiation intensity exceeds a preset safety threshold according to the safety level assessment result, and if so, automatically starting an alarm, initializing an alarm triggering mechanism, sending visual and auditory alarm signals, and obtaining an alarm ready state; S403: Apply the alarm preparation state, activate visual and auditory alarms, issue warnings through the display screen and speaker of the wearable device, verify that the user promptly identifies and responds to potential radiation risks, and obtain an alarm activation state.

8. The wearable radiation monitoring method according to claim 7, characterized in that: The formula for calculating the safety assessment value is as follows: ； in, is the safety assessment value, represents the weight of the radiation source distance, represents the weight of radiation intensity, Represents the weight of environmental impact factors, Represents the real-time distance between the radiation source and the measuring point, represents the radiation intensity measured in real time, Represents a quantitative assessment of the impact of environmental factors on radiation, Represents the time interval from the occurrence of the radiation event to the moment of evaluation.

9. The wearable radiation monitoring method according to claim 1, characterized in that: According to the alarm activation state, a reflective lead plate is built into the wearable device to increase the radiation reflection area, the reflection and shielding effect of the lead plate on radiation is analyzed, and the radiation level around the wearable device is evaluated. The steps of obtaining the radiation monitoring result of the wearable device are specifically as follows: S501: using the alarm activation state, embedding a reflective lead plate in the wearable device, selecting a lead plate of appropriate size and thickness to match the wearable device structure, verifying the correct installation of the lead plate and optimizing the coverage area, evaluating the reflective and shielding capabilities of the wearable device for radiation, and obtaining the lead plate installation configuration; S502: Based on the lead plate installation configuration, the radiation reflection and shielding effect of the lead plate are analyzed, and a radiation detection instrument is used to measure the change in radiation intensity before and after the lead plate is installed. By comparing the change in radiation intensity, the shielding effectiveness of the lead plate is evaluated to obtain the lead plate shielding effect analysis result; S503: Using the lead plate shielding effect analysis result, evaluate the radiation level around the wearable device, combine the radiation data inside and outside the wearable device, analyze the change of radiation, and obtain the wearable device radiation monitoring result.

10. A wearable radiation monitoring system, characterized in that: According to any one of claims 1 to 9, the wearable radiation monitoring method comprises: The radiation detection module is based on the radiation detector integrated in the wearable device to monitor the radiation level in the environment. The data is processed by an analog to digital signal converter, and the data fluctuation range is analyzed to obtain the radiation data set; The deviation calculation module inputs the radiation data set into the low-power processor, performs initialization evaluation on the data, calculates the deviation between the data and the safety threshold, classifies the radiation level, and obtains the radiation level evaluation result; The attenuation model building module analyzes the correlation between the change in radiation intensity and the distance from the radiation source through the radiation level assessment result, builds an attenuation model, calculates the distance and intensity between the radiation source and the device, and obtains an estimated value of the radiation source distance; The safety assessment module assesses the real-time safety level according to the estimated value of the radiation source distance and the radiation level assessment result. If the radiation intensity exceeds the threshold, the visual and auditory alarms are automatically triggered to obtain the alarm activation state; The shielding effect evaluation module uses the alarm activation state to embed a reflective lead plate in the wearable device, analyzes the reflection and shielding effect of the lead plate on radiation, evaluates the radiation level around the wearable device, and obtains the device radiation monitoring result.

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