Intelligent protective clothing system for radiation area

Abstract

The invention provides an intelligent protective clothing system for a radiation area, and the system comprises an intelligent protective clothing which is integrated with a plurality of sensors and a data processing and communication unit; the sensor is used for monitoring the physiological parameters of the wearer and the radiation dose of the environment where the wearer is located; the data processing and communication unit is used for collecting physiological parameters and radiation dose; and the remote monitoring platform is configured to operate an AI analysis model, and the AI analysis model is used for fusing the physiological parameters, the radiation dose and the real-time position and movement track of the wearer, dynamically evaluating the real-time risk level of the wearer in the radiation field, and generating a personalized protection strategy based on the real-time risk level. The real-time risk level of the wearer is actively and dynamically evaluated through an AI analysis model, and compared with a simple sensor through a threshold mode, passive alarm is optimized into active monitoring, so that potential safety hazards caused by delayed protection are avoided.

Description

Technical Field

[0001] This invention relates to the field of radiation protection technology, and in particular to an intelligent protective clothing system for radiation zones. Background Technology

[0002] In workplaces involving ionizing radiation, such as the nuclear industry, medical radiotherapy, and aerospace, personal radiation protective clothing is crucial equipment for ensuring worker safety. Traditional protection systems primarily rely on protective clothing with a certain shielding capability. However, protective products integrating basic sensors have gradually evolved to enable local data display or simple wireless transmission. Their working principle involves monitoring data and sending an alarm to the monitoring terminal when the monitored data exceeds a preset threshold.

[0003] However, simple threshold alarms are a passive form of protection, which leads to delays and uncertainties in security protection. Summary of the Invention

[0004] This invention provides an intelligent protective clothing system for radiation zones, which addresses the shortcomings of existing technologies that rely on simple threshold alarms as passive protection, resulting in delays and uncertainties in safety protection.

[0005] This invention provides an intelligent protective clothing system for radiation zones, comprising: The intelligent protective suit integrates multiple sensors and data processing and communication units; The sensor is used to monitor the wearer's physiological parameters and the radiation dose of the environment. The data processing and communication unit is used to collect the physiological parameters and the radiation dose; The remote monitoring platform is configured to run an AI analysis model. The AI ​​analysis model is used to integrate the physiological parameters, radiation dose, and the wearer's real-time location and movement trajectory to dynamically assess the wearer's real-time risk level in the radiation field and generate personalized protection strategies based on the real-time risk level.

[0006] According to the present invention, an intelligent protective clothing system for radiation zones includes an AI analysis model that integrates physiological parameters, radiation dose, and the wearer's real-time location and movement trajectory to dynamically assess the wearer's real-time risk level in a radiation field, including: Based on the wearer's real-time location and movement trajectory, a predicted path for a future preset time period is generated using a trajectory prediction algorithm; The predicted path is matched with a pre-built spatial dose rate distribution model of the radiation field to calculate the predicted cumulative radiation dose of the wearer on the predicted path. Based on the predicted cumulative radiation dose and real-time acquired physiological parameters, a quantitative risk value is calculated, and a real-time risk level is output according to the mapping rules.

[0007] According to the present invention, an intelligent protective clothing system for radiation zones is provided, wherein the AI ​​analysis model calculates a quantitative risk value based on the predicted cumulative radiation dose and real-time acquired physiological parameters, including: The predicted cumulative radiation dose is input into the dose-risk function to obtain the dose risk score; The heart rate and blood oxygen saturation values ​​among the physiological parameters are compared with their corresponding safety threshold ranges to obtain physiological risk scores. The dose risk score and the physiological risk score are weighted and summed to generate a quantitative risk value.

[0008] According to the intelligent protective clothing system for radiation zones provided by the present invention, the AI ​​analysis model is further used for: Acquire radiation dose data monitored by other wearers at their respective real-time locations; Identify spatial locations where anomalies occur in the radiation dose data of the other wearers; The predicted path is optimized based on the spatial location point, and the predicted path is adjusted to be farther away from the spatial location point.

[0009] According to the intelligent protective clothing system for radiation zones provided by the present invention, the remote monitoring platform is further used for: Statistical analysis of the spatial distribution data of radiation doses monitored by multiple sets of smart protective suits within a preset period; Based on the spatial distribution data of radiation dose, the high-frequency regions and intensity characteristics of radiation exposure were identified; Based on the high-frequency region and intensity characteristics, a design scheme is generated to enhance the shielding material of specific parts of the smart protective clothing.

[0010] According to the intelligent protective clothing system for radiation zones provided by the present invention, the remote monitoring platform is further used for: Manage data from multiple smart protective suits and display the real-time location, real-time risk level, and personalized protection strategy of all wearers on an electronic map.

[0011] According to the present invention, a radiation zone intelligent protective clothing system is provided, wherein the intelligent protective clothing also integrates a positioning module and an attitude sensor; The data processing and communication unit is also used to generate the movement trajectory based on the data collected by the positioning module and the attitude sensor.

[0012] According to the present invention, a smart protective clothing system for radiation zones includes a flexible radiation dose sensor and a flexible physiological signal sensor, which are embedded in the fabric of the smart protective clothing.

[0013] According to the present invention, a smart protective suit system for radiation zones includes at least one of the following personalized protection strategies: maximum allowable dwell time, recommended movement path, suggested waiting position, and recommendations for adjusting the shielding effectiveness of the smart protective suit.

[0014] According to the present invention, a smart protective clothing system for radiation zones is provided, wherein a closure status sensor is provided at the seam of the smart protective clothing; The data processing and communication unit is also used to send an alarm signal to the remote monitoring platform when the closed state sensor detects that the protective clothing is not completely closed, and the alarm signal is input into the AI ​​analysis model as a risk factor.

[0015] This invention provides an intelligent protective suit system for radiation zones, comprising: an intelligent protective suit integrating multiple sensors and a data processing and communication unit; sensors for monitoring the wearer's physiological parameters and the radiation dose of the surrounding environment; a data processing and communication unit for collecting physiological parameters and radiation dose; and a remote monitoring platform configured to run an AI analysis model. The AI ​​analysis model integrates physiological parameters, radiation dose, and the wearer's real-time location and movement trajectory to dynamically assess the wearer's real-time risk level in the radiation field and generate personalized protection strategies based on the real-time risk level. By proactively and dynamically assessing the wearer's real-time risk level through the AI ​​analysis model, compared to simple sensors using threshold methods, passive alarms are optimized into proactive monitoring, avoiding safety hazards caused by delayed protection. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the radiation zone intelligent protective clothing system provided by the present invention; Figure 2 This is a structural schematic diagram of the intelligent protective clothing system for radiation zones provided by the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0019] Figure 1 This is a schematic diagram of the intelligent protective clothing system for radiation zones provided by the present invention. Figure 2 This is a structural schematic diagram of the intelligent protective clothing system for radiation zones provided by the present invention.

[0020] like Figure 1 and Figure 2 As shown in the figure, an embodiment of the present invention provides an intelligent protective clothing system for radiation zones, comprising: an intelligent protective clothing 1, integrating multiple sensors 2 and a data processing and communication unit 3; sensors 2 for monitoring the wearer's physiological parameters and the radiation dose of the surrounding environment; data processing and communication unit 3 for collecting physiological parameters and radiation dose; and a remote monitoring platform 4 configured to run an AI analysis model 5, the AI ​​analysis model 5 for fusing physiological parameters, radiation dose, and the wearer's real-time location and movement trajectory to dynamically assess the wearer's real-time risk level in the radiation field, and generate personalized protection strategies based on the real-time risk level.

[0021] Specifically, first, the main body of the smart protective suit is manufactured, such as... Figure 2 As shown, the main body is made of lightweight composite materials. For example, the outer layer, serving as a radiation shielding layer, uses polymer-based composite materials or flexible metal fabric. The inner layer is a comfortable fabric layer, and the middle layer is a sensor embedding layer used to embed sensor 2. This ensures both protective effectiveness and comfortable, lightweight wear. Multiple sensors 2 are integrated into the protective suit. These sensors 2 are flexible and directly embedded in the fabric, without affecting movement. These include a flexible radiation dose sensor for monitoring environmental radiation dose and a flexible physiological signal sensor for monitoring the wearer's physiological parameters, primarily heart rate, blood oxygen saturation, and body temperature—indicators related to physical condition. Next, a data processing and communication unit 3 is provided, including a microcontroller, a wireless communication module (such as Bluetooth, Wi-Fi, or 5G), a positioning module, and a flexible rechargeable battery. The battery life meets the needs of long-term operation, ensuring the normal operation of all electronic components. Additionally, a miniature camera and intercom device are integrated into the protective suit. Seam sensors are installed at seams and overlaps, and each protective suit has a unique electronic identification.

[0022] Once the wearer enters the radiation zone wearing the smart protective suit 1, the flexible radiation dose sensor continuously monitors the radiation dose of the surrounding environment, including gamma rays and neutron radiation. The flexible physiological signal sensor collects physiological parameters such as the wearer's heart rate, blood oxygen saturation, and body temperature in real time. Since the sensors 2 are embedded in the fabric, they do not restrict the wearer's movement, making them flexible and convenient to wear.

[0023] The radiation dose data and physiological parameters monitored by sensor 2 are transmitted in real time to the microcontroller in data processing and communication unit 3. The microcontroller first performs data preprocessing, filters and calibrates to remove interference data, and improves data accuracy. At the same time, the positioning module will obtain the wearer's location information in real time, and the posture sensor will help capture the movement state. Data processing and communication unit 3 collects all the data, and then transmits the data to the remote monitoring platform 4 after encryption through the wireless communication module. At the same time, it can also transmit the first-person perspective image to the remote monitoring platform 4 through the miniature camera to facilitate communication and guidance.

[0024] After receiving the data, the remote monitoring platform 4 activates the AI ​​analysis model 5. The AI ​​analysis model 5 integrates physiological parameters, radiation dose, location, and trajectory to comprehensively and dynamically assess the wearer's real-time risk level in the current radiation field.

[0025] Based on the assessed real-time risk level, AI analysis model 5 generates targeted, personalized protection strategies. Simultaneously, the remote monitoring platform 4 records information such as the number of times each protective suit is used, cumulative dosage, and maintenance history, enabling disposal reminders and inventory management. If the sensors at the seams detect that the protective suit is not properly closed, they generate an incomplete closure information feedback to the data processing and communication unit 3. The data processing and communication unit 3 also sends the incomplete closure information to the remote monitoring platform 4. The remote monitoring platform 4 can communicate with the wearer via intercom, providing remote guidance and ensuring safety in case of problems.

[0026] By integrating sensor 2 and data processing and communication unit 3 into the protective suit, real-time data acquisition and transmission are realized. AI analysis model 5 actively assesses risks, overcoming the limitation of traditional protective suits that can only provide passive protection. This makes safety protection more timely. Moreover, lightweight materials and flexible sensors make wearing the suit more comfortable and do not affect movement. The unique electronic identification also facilitates the management of the protective suit's usage.

[0027] Furthermore, based on the above embodiments, in this embodiment, the AI ​​analysis model 5 integrates physiological parameters, radiation dose, and the wearer's real-time location and movement trajectory to dynamically assess the wearer's real-time risk level in the radiation field. This includes: generating a predicted path within a preset time period based on the wearer's real-time location and movement trajectory using a trajectory prediction algorithm; matching the predicted path with a pre-built radiation field spatial dose rate distribution model to calculate the predicted cumulative radiation dose of the wearer on the predicted path; calculating a quantified risk value based on the predicted cumulative radiation dose and the real-time acquired physiological parameters, and outputting the real-time risk level according to the mapping rules.

[0028] Specifically, the data processing and communication unit 3 continuously collects real-time location data of the wearer obtained by the positioning module, as well as data such as movement direction and speed captured by the attitude sensor, and transmits it to the AI ​​analysis model 5 of the remote monitoring platform 4. The AI ​​analysis model 5 uses a trajectory prediction algorithm, combined with the wearer's previous movement trajectory patterns, to generate a predicted path that the wearer may take within a preset time period in the future, thus predicting the wearer's next activity range in advance.

[0029] A spatial dose rate distribution model of the radiation field is constructed in advance. This model is continuously updated and improved by collecting historical radiation dose data, radiation intensity data at different locations, and real-time radiation dose data monitored by all wearers in the radiation area, ensuring that it accurately reflects the radiation dose situation at different locations in the radiation area. Then, the AI ​​analysis model 5 predicts the path and maps it to the spatial dose rate distribution model of the radiation field. Along each location on the predicted path, the corresponding radiation dose rate can be found. Based on the duration of the preset time period, the predicted cumulative radiation dose that the wearer may receive on this predicted path can be calculated, allowing for advance knowledge of potential radiation exposure.

[0030] The AI ​​analysis model 5 first inputs the calculated predicted cumulative radiation dose into a pre-defined dose-risk function. This function is based on radiation safety standards and the impact of different radiation doses on the human body, calculating the corresponding dose-risk score. Simultaneously, the model compares real-time acquired physiological parameters, such as heart rate and blood oxygen saturation, with their corresponding safety threshold ranges. If the values ​​are within the safe range, the physiological risk score is low; if they exceed the safe range, a corresponding physiological risk score is given based on the degree of exceedance. Then, the model weights and sums the dose-risk score and physiological risk score according to certain weights to obtain a quantified risk value. This value is then compared to a preset mapping rule—for example, a certain range corresponds to a low-risk level, another to a medium-risk level, and yet another to a high-risk level—to ultimately output the wearer's real-time risk level.

[0031] By predicting the path in advance, calculating the cumulative radiation dose, and combining it with physiological parameters to quantify the risk value, the risk level can be assessed more accurately and dynamically. Compared with simple threshold alarms, this method can predict risks in advance, making protection more targeted and avoiding safety hazards caused by delayed protection.

[0032] Furthermore, based on the above embodiments, in this embodiment, the AI ​​analysis model 5 calculates a quantitative risk value based on the predicted cumulative radiation dose and the real-time acquired physiological parameters, including: inputting the predicted cumulative radiation dose into a dose-risk function to obtain a dose risk score; comparing the heart rate and blood oxygen saturation values ​​in the physiological parameters with their corresponding safety threshold intervals to obtain physiological risk scores; and weighting and summing the dose risk score and the physiological risk score to generate a quantitative risk value.

[0033] Specifically, a dose-risk function is first established. This function was developed with reference to authoritative radiation safety standards, collecting historical data on the impact of different radiation doses on human health, and clarifying the correlation between radiation dose and risk level. Then, the predicted cumulative radiation dose is directly input into the dose-risk function. The function will automatically output the corresponding dose-risk score according to preset rules; the higher the dose, the higher the corresponding dose-risk score.

[0034] Safe threshold ranges for heart rate and blood oxygen saturation are determined. These ranges are based on the normal physiological range of the human body, taking into account the characteristics of physiological changes in the human body under radiation conditions. For example, what are the safe threshold ranges for heart rate and blood oxygen saturation? Then, the real-time monitored heart rate and blood oxygen saturation values ​​of the wearer are compared with their corresponding safe threshold ranges. If the values ​​are within the safe threshold range, a lower physiological risk score is assigned. If the values ​​exceed the safe threshold range, the score is determined based on the extent of the exceedance; the greater the exceedance, the higher the physiological risk score. If the values ​​severely exceed the safe threshold range, the highest physiological risk score is assigned.

[0035] Based on the actual conditions of the radiation work scenario, the weights of the dose risk score and the physiological risk score are determined. For example, in scenarios with high radiation intensity, the weight of the dose risk score can be set higher, while in scenarios where the worker's physical condition requires close monitoring, the weight of the physiological risk score can be appropriately increased. Then, according to the determined weights, the dose risk score and the physiological risk score are weighted and summed to obtain the quantitative risk value. The quantitative risk value is used to comprehensively reflect the radiation risk and physiological risk currently faced by the wearer.

[0036] By clarifying the methods for obtaining dose risk scores and physiological risk scores, and by setting appropriate weights for weighted summation, the calculation of quantitative risk values ​​becomes more scientific and accurate, thereby making the subsequent real-time risk level output more reliable and providing a precise basis for generating personalized protection strategies.

[0037] Furthermore, based on the above embodiments, the AI ​​analysis model 5 in this embodiment is also used to: acquire radiation dose data monitored by other wearers at their respective real-time locations; identify spatial location points where abnormal values ​​appear in the radiation dose data of other wearers; optimize the prediction path based on the spatial location points, and adjust the prediction path to be far away from the spatial location points.

[0038] Specifically, the remote monitoring platform 4 will simultaneously receive radiation dose data uploaded by multiple smart protective suits 1 worn by multiple wearers. These data all contain the real-time location information of the corresponding wearers, which means that it can know where each radiation dose data was detected in the radiation zone.

[0039] AI analysis model 5 analyzes the radiation dose data collected from all other wearers. First, it determines the normal radiation dose range, which is based on a radiation field spatial dose rate distribution model and historical data. Then, it compares the radiation dose data for each location with this normal range. If the radiation dose data for a certain location significantly exceeds the normal range, it is determined to be an anomaly, and the corresponding spatial location becomes an anomalous spatial location point, meaning that the radiation dose at this location has suddenly increased, posing a high risk.

[0040] After generating the predicted path for the current wearer, AI analysis model 5 first checks whether the predicted path will pass through abnormal spatial locations. If the predicted path will pass through these abnormal locations, the model will adjust and optimize the predicted path, replanning a path that avoids these abnormal spatial locations. The new path will try to select areas with radiation doses within the normal range to ensure that the wearer does not enter high-radiation-risk areas.

[0041] By utilizing radiation dose data from multiple wearers, it is possible to promptly identify locations with sudden high radiation anomalies in the radiation zone. By optimizing the predicted path to avoid these locations, the wearer's work path can be made safer, further reducing the risk of radiation exposure.

[0042] Furthermore, based on the above embodiments, the remote monitoring platform 4 in this embodiment is also used to: statistically analyze the spatial distribution data of radiation doses monitored by multiple sets of smart protective suits 1 within a preset period; identify the high-frequency regions and intensity characteristics of radiation exposure based on the spatial distribution data of radiation doses; and generate a design scheme for shielding materials for specific parts of the smart protective suits 1 based on the high-frequency regions and intensity characteristics.

[0043] Specifically, the remote monitoring platform 4 is set to a preset period, such as one month or a work project cycle. Within this period, it continuously collects radiation dose data and corresponding real-time location data uploaded by all workers wearing smart protective clothing 1. The data is then categorized and statistically analyzed, and the radiation dose data corresponding to each location is compiled and summarized to form the spatial distribution data of radiation dose within the preset period, which clearly shows the radiation dose situation at different locations in the radiation zone.

[0044] Based on the statistically analyzed spatial distribution data of radiation dose, the remote monitoring platform 4 analyzes which areas are frequently traversed by workers, identifying these as high-frequency areas of radiation exposure. Simultaneously, it analyzes the characteristics of radiation dose intensity changes in these high-frequency areas, such as whether the high dose is continuous or intermittent, and the specific distribution range of the high dose, as indicators of the intensity of radiation exposure.

[0045] Based on the identified high-frequency regions and intensity characteristics, the remote monitoring platform 4 will optimize the shielding material design of the smart protective suit 1. For example, if a certain high-frequency region corresponds to the wearer's chest area, and the radiation intensity in this area is high, the design plan will suggest enhancing the protective effectiveness of the shielding material in the corresponding area of ​​the smart protective suit 1's chest. This could be achieved by optimizing the distribution of the shielding material or adjusting the structure of the shielding material in that area, so that the protective suit can provide better radiation shielding in the high-frequency, high-radiation region without increasing the overall weight and stiffness of the protective suit.

[0046] By statistically analyzing the spatial distribution data of radiation dose in actual operations, the design of protective clothing can be made more suitable for actual use scenarios, and the shielding effect of key parts can be enhanced in a targeted manner to improve protection efficiency. At the same time, it can also avoid the problem of bulky protective clothing caused by blindly increasing shielding materials, thus balancing the protective effect and wearing comfort.

[0047] Furthermore, based on the above embodiments, the remote monitoring platform 4 in this embodiment is also used to: manage the data of multiple smart protective suits 1, and display the real-time location, real-time risk level and personalized protection strategy of all wearers on an electronic map.

[0048] Specifically, the remote monitoring platform 4 assigns a unique identification code to each smart protective suit 1, which corresponds to the suit's unique electronic identity. Through a wireless communication module, it receives all data uploaded by each protective suit in real time, including radiation dose data, physiological parameter data, real-time location data, movement trajectory data, and seam closure status data. Simultaneously, the remote monitoring platform 4 categorizes, stores, and manages this data, recording information such as the number of times each protective suit has been used, cumulative radiation dose, and maintenance history, facilitating inventory management and disposal reminders.

[0049] The remote monitoring platform 4 has a built-in electronic map of the radiation zone, accurately mapping the real-time location data uploaded by each protective suit to the corresponding location on the electronic map, intuitively displaying the location of each wearer. Simultaneously, based on the real-time risk level output by the AI ​​analysis model 5, it uses different colors to identify the location of each wearer, such as green for low risk, yellow for medium risk, and red for high risk, allowing managers to immediately see the risk status of each wearer. Furthermore, it displays the generated personalized protection strategy next to each wearer's location, such as the maximum allowed stay time and recommended movement route, which managers can view at any time.

[0050] Managers can use electronic maps to comprehensively and intuitively grasp the status of all personnel working in the radiation area, including their location, risk level, and protection strategies. This facilitates unified management and scheduling, enables rapid response to abnormal situations, improves management efficiency, and further ensures the safety of workers.

[0051] Furthermore, based on the above embodiments, the smart protective suit 1 in this embodiment also integrates a positioning module and an attitude sensor; the data processing and communication unit 3 is also used to generate a movement trajectory based on the data collected by the positioning module and the attitude sensor.

[0052] Specifically, a positioning module, such as a GPS module or a Beidou positioning module, is installed in a suitable location on the smart protective suit 1 to ensure accurate reception of location signals and acquisition of the wearer's real-time geographical location information. At the same time, attitude sensors, such as accelerometers and gyroscopes, are installed on the protective suit. These sensors 2 can capture information such as the wearer's direction of movement, speed of movement, and changes in body posture, such as whether the wearer is moving forward, backward, turning, or stationary.

[0053] The data processing and communication unit 3 receives real-time location data from the positioning module and movement status data from the attitude sensor. Then, it concatenates the real-time location data from different time points in chronological order, and combines this with the movement direction and speed information captured by the attitude sensor to supplement and correct these location points. For example, by determining the wearer's movement speed within a certain time period and combining this with the time, the connection between two location points can be determined. Finally, a complete and accurate wearer movement trajectory is generated and transmitted to the remote monitoring platform 4.

[0054] By combining the positioning module and the attitude sensor, the wearer's movement trajectory can be accurately generated, providing reliable trajectory data support for AI analysis model 5 to integrate data, predict paths, and assess risk levels, making risk assessment and protection strategy generation more accurate.

[0055] Furthermore, based on the above embodiments, the sensor 2 in this embodiment includes a flexible radiation dose sensor and a flexible physiological signal sensor, which are embedded in the fabric of the smart protective suit 1.

[0056] Specifically, flexible radiation dose sensors utilize thin-film sensors based on semiconductor or scintillator materials. These sensors are flexible, small in size, and fit well into protective clothing fabrics. They also offer high accuracy in monitoring radiation doses, accurately detecting both gamma rays and neutron radiation. Flexible physiological signal sensors include flexible temperature patches and photoelectric heart rate sensors. Flexible temperature patches can monitor the wearer's body temperature in real time, while photoelectric heart rate sensors can accurately collect heart rate and blood oxygen saturation data. All of these sensors are flexible and will not affect the wearer's activities.

[0057] The selected flexible radiation dose sensor and flexible physiological signal sensor are embedded securely into the seams of the middle layer of the smart protective suit 1 to prevent them from falling off or shifting during wear and activity. For example, the radiation dose sensor is installed in key areas such as the chest and back of the protective suit to ensure comprehensive monitoring of the radiation dose in the surrounding environment, while the physiological signal sensor is installed on the inner layer of fabric close to the skin to ensure accurate collection of physiological parameter data without causing discomfort to the wearer.

[0058] Choosing and properly installing suitable flexible sensors can ensure that the sensors can collect data stably and accurately, while minimizing the impact on the comfort of wearing protective clothing, allowing the wearer to maintain flexibility during long-term work, and enabling precise monitoring of radiation dose and physiological parameters.

[0059] Furthermore, based on the above embodiments, the personalized protection strategy in this embodiment includes at least one of the following: maximum allowable stay time, recommended movement path, suggested waiting location, and suggestions for adjusting the shielding effectiveness of the smart protective suit 1.

[0060] Specifically, AI analysis model 5 determines the maximum permissible stay time based on the calculated predicted cumulative radiation dose and real-time physiological parameters, combined with the wearer's historical cumulative exposure data. For example, if the predicted cumulative radiation dose is high, or if the wearer's physiological parameters show slight abnormalities, the maximum permissible stay time will be shortened to prevent the wearer from staying in the area for too long, which could lead to excessive radiation dose or a deterioration in physical condition. If the radiation dose is low and the wearer's physiological condition is good, a relatively longer maximum permissible stay time will be given to meet the operational requirements.

[0061] AI analysis model 5 combines a spatial dose rate distribution model of the radiation field, information on anomalous spatial locations, and the wearer's target work location to plan and recommend a movement path. The recommended movement path will try to avoid high-radiation areas and anomalous spatial locations, selecting routes with low radiation doses and high safety factors, while also taking into account work efficiency, allowing the wearer to complete the work task while ensuring safety.

[0062] If waiting is required during the operation, AI analysis model 5 will specify suggested waiting locations on an electronic map based on the spatial dose distribution data of the radiation field. These locations are typically areas with low radiation doses, safe environments, and that do not obstruct the passage of other workers, allowing the wearer to be in a relatively safe environment while waiting and reducing radiation exposure.

[0063] Based on the actual radiation intensity and distribution characteristics of the radiation field, AI analysis model 5 will provide suggestions for adjusting the shielding effectiveness of the smart protective suit 1. For example, when working in areas with high radiation intensity, it is recommended that the wearer add detachable local shielding accessories to key parts of the protective suit to enhance the shielding effect in those areas. If the radiation intensity is low, it is recommended that no additional shielding accessories be added to avoid increasing the weight of the protective suit and affecting movement.

[0064] Wearers can directly follow personalized protection strategies, such as knowing how long they can stay in a certain area, which route is safer, and where to go while waiting. They can also adjust the shielding effectiveness of the protective clothing based on suggestions to make the protection more targeted and maximize their own safety.

[0065] Furthermore, based on the above embodiments, in this embodiment, the seams of the smart protective suit 1 are equipped with closure status sensors; the data processing and communication unit 3 is also used to send an alarm signal to the remote monitoring platform 4 when the closure status sensor detects that the protective suit is not completely closed, and the alarm signal is input as a risk factor into the AI ​​analysis model 5.

[0066] Specifically, closure sensors, such as contact sensors, are installed at all seams and overlaps of the smart protective suit 1. During installation, it is essential to ensure that the sensors can accurately detect the closure status of the seams and overlaps. For example, two contact ends of the sensor can be installed on each side of the seam. When the seam is properly closed, the two contact ends will be in close contact; when the seam is open, the two contact ends will separate.

[0067] The data processing and communication unit 3 receives the detection signals from the closure status sensor in real time. If the sensor detects that the seam or overlap is not completely closed, such as when the contact end separates, it will determine that the protective clothing is not completely closed. At this time, the data processing and communication unit 3 will immediately send an alarm signal to the remote monitoring platform 4 through the wireless communication module. The alarm signal will clearly indicate which seam is not closed.

[0068] After receiving the alarm signal, the remote monitoring platform 4 inputs the alarm signal as a risk factor into the AI ​​analysis model 5. When assessing the wearer's real-time risk level, the AI ​​analysis model 5 takes into account the situation where the protective clothing is not completely closed, and increases the real-time risk level accordingly. At the same time, when generating personalized protection strategies, it will prioritize giving suggestions to the wearer to deal with the seam closure problem in a timely manner or to evacuate the current area.

[0069] By installing closure sensors at the seams, it is possible to promptly detect situations where protective clothing is not completely closed, preventing radiation leakage due to openings and avoiding unnecessary radiation harm to the wearer. Furthermore, inputting alarm signals as risk factors into the AI ​​model allows for more comprehensive and accurate risk assessments, enabling timely intervention and further ensuring the wearer's radiation safety.

[0070] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0071] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0072] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart protective suit system for radiation zones, characterized in that, include: The intelligent protective suit integrates multiple sensors and data processing and communication units; The sensor is used to monitor the wearer's physiological parameters and the radiation dose of the environment. The data processing and communication unit is used to collect the physiological parameters and the radiation dose; The remote monitoring platform is configured to run an AI analysis model. The AI ​​analysis model is used to integrate the physiological parameters, radiation dose, and the wearer's real-time location and movement trajectory to dynamically assess the wearer's real-time risk level in the radiation field and generate personalized protection strategies based on the real-time risk level.

2. The intelligent protective clothing system for radiation zones according to claim 1, characterized in that, The AI ​​analysis model integrates the physiological parameters, radiation dose, and the wearer's real-time location and movement trajectory to dynamically assess the wearer's real-time risk level in the radiation field, including: Based on the wearer's real-time location and movement trajectory, a predicted path for a future preset time period is generated using a trajectory prediction algorithm; The predicted path is matched with a pre-built spatial dose rate distribution model of the radiation field to calculate the predicted cumulative radiation dose of the wearer on the predicted path. Based on the predicted cumulative radiation dose and real-time acquired physiological parameters, a quantitative risk value is calculated, and a real-time risk level is output according to the mapping rules.

3. The intelligent protective clothing system for radiation zones according to claim 2, characterized in that, The AI ​​analysis model calculates a quantitative risk value based on the predicted cumulative radiation dose and real-time acquired physiological parameters, including: The predicted cumulative radiation dose is input into the dose-risk function to obtain the dose risk score; The heart rate and blood oxygen saturation values ​​among the physiological parameters are compared with their corresponding safety threshold ranges to obtain physiological risk scores. The dose risk score and the physiological risk score are weighted and summed to generate a quantitative risk value.

4. The intelligent protective clothing system for radiation zones according to claim 2, characterized in that, The AI ​​analysis model is also used for: Acquire radiation dose data monitored by other wearers at their respective real-time locations; Identify spatial locations where anomalies occur in the radiation dose data of the other wearers; The predicted path is optimized based on the spatial location point, and the predicted path is adjusted to be farther away from the spatial location point.

5. The intelligent protective clothing system for radiation zones according to claim 1, characterized in that, The remote monitoring platform is also used for: Statistical analysis of the spatial distribution data of radiation doses monitored by multiple sets of smart protective suits within a preset period; Based on the spatial distribution data of radiation dose, the high-frequency regions and intensity characteristics of radiation exposure were identified; Based on the high-frequency region and intensity characteristics, a design scheme is generated to enhance the shielding material of specific parts of the smart protective clothing.

6. The intelligent protective clothing system for radiation zones according to claim 5, characterized in that, The remote monitoring platform is also used for: Manage data from multiple smart protective suits and display the real-time location, real-time risk level, and personalized protection strategy of all wearers on an electronic map.

7. The intelligent protective clothing system for radiation zones according to claim 1, characterized in that, The intelligent protective suit also integrates a positioning module and an attitude sensor; The data processing and communication unit is also used to generate the movement trajectory based on the data collected by the positioning module and the attitude sensor.

8. The intelligent protective clothing system for radiation zones according to claim 1, characterized in that, The sensors include a flexible radiation dose sensor and a flexible physiological signal sensor, which are embedded in the fabric of the smart protective suit.

9. The intelligent protective clothing system for radiation zones according to claim 1, characterized in that, The personalized protection strategy includes at least one of the following: maximum allowable stay time, recommended movement path, suggested waiting location, and suggestions for adjusting the shielding effectiveness of the smart protective suit.

10. The intelligent protective clothing system for radiation zones according to any one of claims 1-9, characterized in that, The seams of the smart protective suit are equipped with closure status sensors; The data processing and communication unit is also used to send an alarm signal to the remote monitoring platform when the closed state sensor detects that the protective clothing is not completely closed, and the alarm signal is input into the AI ​​analysis model as a risk factor.

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