An emergency radiation detection and response system for unmanned aerial vehicles (UAVs)

Abstract

This invention provides an unmanned aerial vehicle (UAV) emergency radiation detection and response system, comprising: controlling a UAV to reach a designated detection area to collect information several times, obtaining several types of on-site data in the designated detection area; selecting several valid data frames from each type of on-site data and recombining them; determining several pollutants in the designated detection area and the pollution characteristics corresponding to each pollutant based on each recombined data; establishing a pollution distribution map of the designated detection area; analyzing the diffusion characteristics corresponding to each pollutant based on the on-site environmental information of the designated detection area; identifying the pollution hazards corresponding to each pollutant and establishing a danger signal corresponding to each detection area within the designated detection range based on the corresponding diffusion characteristics; establishing and displaying a danger emergency plan. This system can effectively solve the problems of low efficiency and poor safety of traditional manual detection, and improve the level of radiation monitoring and emergency response capabilities in the medical environment.

Description

Technical Field

[0001] This invention relates to the field of safety and emergency technology, and in particular to an emergency radiation detection and response system for unmanned aerial vehicles (UAVs). Background Technology

[0002] With the widespread application of nuclear energy technology and radioactive materials in medicine, industry, and energy, the demand for radiation environment monitoring continues to grow. The hazards of radioactive materials mainly lie in the damage they cause to human cells and DNA through ionizing radiation, leading to cancer, acute radiation sickness, and genetic effects. Different types of radiation have different effects on the human body; the degree of harm is determined by factors such as exposure dose, time, and frequency. Therefore, taking effective protective measures to avoid unnecessary radiation exposure is crucial for protecting health. In routine diagnosis and treatment and emergency scenarios in nuclear medicine departments, the use of radiopharmaceuticals and waste management may involve potential risks such as radiation leakage and loss of radioactive sources. These issues threaten the safety of the medical environment and the health of staff, urgently requiring more efficient and safer monitoring and emergency response methods.

[0003] Therefore, the present invention provides an emergency radiation detection and disposal system for unmanned aerial vehicles (UAVs). Summary of the Invention

[0004] This invention provides an emergency radiation detection and response system for unmanned aerial vehicles (UAVs), which can effectively solve the problems of low efficiency and poor safety of traditional manual detection, and improve the level of radiation monitoring and emergency response capabilities in the medical environment.

[0005] This invention provides an emergency radiation detection and response system for unmanned aerial vehicles (UAVs), comprising:

[0006] The radiation detection module is used to control the UAV to reach the designated detection area to collect information several times and obtain several kinds of on-site data of the designated detection area;

[0007] The data recombination module is used to filter several valid data frames in each of the field data and recombine them, and to determine several pollutants in the designated detection area and the pollution characteristics corresponding to each pollutant based on each recombined data.

[0008] The pollution analysis module is used to establish a pollution distribution map of the designated detection area and analyze the diffusion characteristics of each pollutant based on the on-site environmental information of the designated detection area.

[0009] The emergency assistance module is used to find the pollution hazard corresponding to each pollutant, combine it with the corresponding diffusion characteristics to establish the danger signal corresponding to each detection area within the specified detection range, establish a danger emergency plan, and display it.

[0010] In one feasible approach

[0011] Also includes:

[0012] An information display module is used to display the on-site data collected by the drone;

[0013] It is also used to display the pollution distribution map of the designated detection area and the diffusion characteristics of each pollutant;

[0014] It is also used to display the emergency response plan for the aforementioned danger.

[0015] In one feasible approach

[0016] The radiation detection module includes:

[0017] The detection preparation unit is used to acquire the area and map of the designated detection area, configure a corresponding number of drones for this detection operation based on the area, identify the radiation type corresponding to each detection location in the designated detection area in the map, classify detection locations with the same radiation type into the same detection category and mark them in the map.

[0018] The flight path arrangement unit is used to set positioning tags for the corresponding detection class according to the detection area, identify the radiation type corresponding to each detection area in the area map and set function tags for the corresponding detection class, match the existing functions of each UAV with the function tags, generate a preliminary flight path for each UAV, filter overlapping flight paths between different preliminary flight paths, and allocate overlapping positioning tags corresponding to the overlapping flight paths to the corresponding short preliminary flight paths based on the shortest flight path principle, thereby generating a working flight path for each UAV.

[0019] The information acquisition unit is used to control each UAV to arrive at the designated detection area according to the corresponding working flight path to collect information, obtain real-time detection information corresponding to each detection category, perform preliminary screening of the real-time detection information according to the current detection item of the corresponding UAV, obtain data segments related to the current detection item, and arrange the data segments according to the detection time order to obtain several kinds of field data of the designated detection area.

[0020] In one feasible approach

[0021] The data reconstruction module includes:

[0022] The data classification unit is used to extract several detection data values ​​for each of the field data, cluster the detection data values ​​according to the detection dimension corresponding to each detection data value to obtain several clustered datasets, and analyze the data dispersion characteristics of each clustered dataset to establish a scatter plot of the corresponding clustered dataset.

[0023] The discrete analysis unit is used to locate the corresponding discrete points in each of the field data, divide each of the field data into several data frames according to the location results, identify the coordinate values ​​corresponding to each discrete point in the scatter plot, derive the dispersion between different discrete points in the same scatter plot, and sort the corresponding data frames according to the order of the dispersion from high to low to obtain the corresponding data frame queue.

[0024] The filtering execution unit is used to iteratively remove the last data frame of the data frame queue, generate an updated data frame queue after each removal, identify the data validity ratio corresponding to each updated data frame queue, filter the target updated data frame queue with the highest data validity ratio, and reassemble the valid data frames in the target updated data frame queue according to the order of the data frames in the corresponding field data to generate reassembled data.

[0025] The pollution analysis unit is used to identify the pollution dimension corresponding to each of the recombined data, determine several pollution indicators corresponding to the pollution dimension, allocate the recombined data to the corresponding pollution indicators to obtain several pollution information, identify the corresponding pollutants based on the pollution information, find the item attributes corresponding to each pollutant, and determine the pollution characteristics of the corresponding pollutant by combining the corresponding pollution information.

[0026] In one feasible approach

[0027] The pollution analysis unit includes:

[0028] The dimension matching subunit is used to obtain several data attributes corresponding to the recombined data, find the contamination dimension corresponding to each recombined data according to the attribute presentation information corresponding to each preset contamination dimension, and perform format matching with the recombined data according to the data format corresponding to the contamination dimension. When the matching result is true, the contamination dimension of the corresponding recombined data is determined.

[0029] The pollution analysis subunit is used to establish data partitioning rules based on several pollution indicators corresponding to each pollution dimension, use the data partitioning rules to divide the corresponding recombined data into several indicator sub-data, and map the indicator sub-data to the corresponding pollution indicators to generate corresponding pollution information.

[0030] The source location subunit is used to find several pollution sources corresponding to each pollution information and the item identification features corresponding to each pollution source, identify each item identification feature in the field data, determine the pollutant corresponding to each pollution dimension based on the identification results, and find the item attributes of the pollutant in the specified detection area.

[0031] The feature generation subunit is used to analyze the distribution of each pollutant in the designated detection area and, in conjunction with the pollution information, determine the pollution features corresponding to each pollutant in the designated detection area.

[0032] In one feasible approach

[0033] The pollution analysis module includes:

[0034] The chart drawing unit is used to draw an area appearance map of the designated detection area based on the field data, determine the basic diffusion characteristics of the pollutants based on the pollution characteristics corresponding to each pollutant, and mark the basic diffusion characteristics on the area appearance map to obtain a pollution distribution map of the designated detection area.

[0035] The diffusion analysis unit is used to establish an on-site environmental model of the designated detection area based on the on-site data, run the on-site environmental model to determine several environmental factors of the designated detection area, input each of the basic diffusion characteristics into the on-site environmental model for simulation, obtain the diffusion influence of different environmental factors on each of the basic diffusion characteristics, and mark them on the pollution distribution map to establish a dynamic distribution map.

[0036] The on-site analysis unit is used to repeatedly iterate and train the dynamic distribution map to obtain several simulated on-site diffusion information of each pollutant in the designated detection area. Each simulated on-site diffusion information is then input into the on-site environmental model for rationality analysis to obtain the diffusion rationality corresponding to each simulated on-site diffusion information.

[0037] The feature determination unit is used to screen several valid simulated field diffusion information with a diffusion rationality higher than the standard rationality, and determine the diffusion characteristics of the corresponding pollutant in the specified detection area based on the reasonable analysis results corresponding to each valid simulated field diffusion information.

[0038] In one feasible approach

[0039] The emergency support module includes:

[0040] The hazard identification unit is used to find the pollution hazards corresponding to each pollutant at different pollution levels, and to analyze the pollution hazards corresponding to different detection areas in the specified detection area based on the diffusion characteristics.

[0041] The danger warning unit is used to determine the danger level corresponding to each of the detection areas based on the pollution hazards, and to retrieve the corresponding danger signals and transmit them to the reminder terminal of the corresponding detection area for reminder.

[0042] The hazard response unit is used to find the corresponding avoidance plan for each pollution hazard, adjust the corresponding avoidance plan based on the facility distribution of the corresponding detection area, generate a hazard emergency plan for each detection area, and display it.

[0043] In one feasible approach

[0044] Also includes:

[0045] The synchronous transmission module is used to create a field image of the designated detection area based on the field data, and transmit the field image to the ground control center for display.

[0046] It is also used to transmit the field data to the ground control center for display.

[0047] In one feasible approach

[0048] Also includes:

[0049] A continuous optimization module is used to acquire the task data of the UAV and reconstruct the working process of the UAV based on the task data.

[0050] Identify the task defects contained in the work process and analyze the causes of the task defects.

[0051] The defective components of the drone are optimized based on the stated cause of the defect.

[0052] In one feasible approach

[0053] Also includes:

[0054] The drone contains one or more data acquisition devices;

[0055] The acquisition device includes: a gamma spectrometer, a radiation dose rate sensor, and a plume detection sensor.

[0056] The beneficial effects of the above technical solution are as follows: To build a more efficient and safer means of radiation monitoring and emergency response, the use of drones combined with high-sensitivity nuclear radiation detection equipment and intelligent data processing systems can quickly monitor the radiation environment, identify pollution sources, assess hazards, and implement corresponding measures. First, the drone is controlled to reach the detection area to collect information, obtaining several types of on-site data from the designated detection area. Then, the effective data frames in the on-site data are filtered and recombined. Under the guidance of the recombined data, the pollutants present in the designated detection area and the pollution characteristics corresponding to each pollutant are determined. Further analysis of the pollution distribution map of the designated detection area determines the diffusion characteristics of different pollutants in the designated detection area. Then, the pollution hazards of each pollutant are identified, and corresponding danger signals are used to issue warnings. At the same time, a hazard emergency plan is established to guide surrounding personnel to take protective measures to avoid harm. In this way, on-site data can be processed in real time, and hazard emergency plans can be formulated. Especially in complex environments such as nuclear medicine departments, it can effectively reduce radiation harm to surrounding personnel, avoid direct exposure of staff to high radiation environments, and effectively protect the safety of medical personnel and emergency personnel.

[0057] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0058] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0059] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0060] Figure 1 This is a schematic diagram of the composition of an emergency radiation detection and response system for unmanned aerial vehicles (UAVs) according to an embodiment of the present invention.

[0061] Figure 2 This is a schematic diagram of the data reassembly module of an emergency radiation detection and response system for unmanned aerial vehicles (UAVs) according to an embodiment of the present invention. Detailed Implementation

[0062] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0063] Example 1

[0064] This embodiment provides an emergency radiation detection and response system for unmanned aerial vehicles (UAVs), such as... Figure 1 As shown, it includes:

[0065] The radiation detection module is used to control the UAV to reach the designated detection area to collect information several times and obtain several kinds of on-site data of the designated detection area;

[0066] The data recombination module is used to filter several valid data frames in each of the field data and recombine them, and to determine several pollutants in the designated detection area and the pollution characteristics corresponding to each pollutant based on each recombined data.

[0067] The pollution analysis module is used to establish a pollution distribution map of the designated detection area and analyze the diffusion characteristics of each pollutant based on the on-site environmental information of the designated detection area.

[0068] The emergency assistance module is used to find the pollution hazard corresponding to each pollutant, combine it with the corresponding diffusion characteristics to establish the danger signal corresponding to each detection area within the specified detection range, establish a danger emergency plan, and display it.

[0069] In this example, specifying the detection area indicates the area where radiation detection is required, such as: radioactive source leakage in nuclear medicine department, waste monitoring;

[0070] In this example, the field data refers to the data collected by the drone when it conducts on-site reconnaissance of the designated detection area;

[0071] In this example, pollutants refer to substances that cause radiation contamination to the designated detection area;

[0072] In this example, the valid data frames represent the data frames related to radiation contamination in the field data;

[0073] In this example, the pollution characteristics represent the impact of pollutants on a designated detection area;

[0074] In this example, diffusion characteristics represent the features produced when radiation caused by pollutants diffuses within a designated detection area;

[0075] In this example, the danger signal represents a signal used to warn of danger;

[0076] In this example, the hazard emergency response plan refers to the plan used to guide personnel in a designated detection area to leave the area and take precautions to protect themselves.

[0077] The working principle and beneficial effects of the above technical solution are as follows: To construct a more efficient and safer means of radiation monitoring and emergency response, the use of drones combined with high-sensitivity nuclear radiation detection equipment and intelligent data processing systems enables rapid monitoring of the radiation environment, identification of pollution sources, assessment of hazards, and execution of corresponding measures. First, the drone is controlled to reach the detection area to collect information, obtaining several types of on-site data from the designated detection area. Then, the effective data frames in the on-site data are filtered and recombined. Guided by the recombined data, the pollutants present in the designated detection area and the pollution characteristics corresponding to each pollutant are determined. Further analysis of the pollution distribution map of the designated detection area determines the diffusion characteristics of different pollutants in the designated detection area. Then, the pollution hazards of each pollutant are identified, and corresponding danger signals are used to issue warnings. Simultaneously, a hazard emergency plan is established to guide surrounding personnel to take protective measures and avoid harm. This method allows for real-time processing of on-site data and the development of hazard emergency plans. Especially in complex environments such as nuclear medicine departments, it can effectively reduce radiation harm to surrounding personnel, prevent staff from being directly exposed to high-radiation environments, and effectively protect the safety of medical and emergency personnel.

[0078] Example 2

[0079] Based on Embodiment 1, the aforementioned UAV emergency radiation detection and response system further includes:

[0080] An information display module is used to display the on-site data collected by the drone;

[0081] It is also used to display the pollution distribution map of the designated detection area and the diffusion characteristics of each pollutant;

[0082] It is also used to display the emergency response plan for the aforementioned danger.

[0083] The working principle and beneficial effects of the above technical solution are as follows: Emergency personnel can obtain on-site data and various on-site information at any time through the information display module, which facilitates effective decision-making by emergency personnel.

[0084] Example 3

[0085] Based on Example 1, the radiation detection module of the UAV emergency radiation detection and handling system includes:

[0086] The detection preparation unit is used to acquire the area and map of the designated detection area, configure a corresponding number of drones for this detection operation based on the area, identify the radiation type corresponding to each detection location in the designated detection area in the map, classify detection locations with the same radiation type into the same detection category and mark them in the map.

[0087] The flight path arrangement unit is used to set positioning tags for the corresponding detection class according to the detection area, identify the radiation type corresponding to each detection area in the area map and set function tags for the corresponding detection class, match the existing functions of each UAV with the function tags, generate a preliminary flight path for each UAV, filter overlapping flight paths between different preliminary flight paths, and allocate overlapping positioning tags corresponding to the overlapping flight paths to the corresponding short preliminary flight paths based on the shortest flight path principle, thereby generating a working flight path for each UAV.

[0088] The information acquisition unit is used to control each UAV to arrive at the designated detection area according to the corresponding working flight path to collect information, obtain real-time detection information corresponding to each detection category, perform preliminary screening of the real-time detection information according to the current detection item of the corresponding UAV, obtain data segments related to the current detection item, and arrange the data segments according to the detection time order to obtain several kinds of field data of the designated detection area.

[0089] In this example, the area map represents a map of the specified detection area before the incident occurred;

[0090] In this example, the relationship between the area and the number of drones is as follows: the detection area of ​​a drone is in the range of [0, 1500] square meters. The number of drones is matched according to the size of the area. The minimum number of drones is: area area / 1500, rounded up.

[0091] In this example, radiation type refers to the type of radiation emitted by a detection location;

[0092] In this example, the detection class represents the result of aggregating all detection locations with the same radiation type;

[0093] In this example, the location tags represent labels used to distinguish the location and area occupied by different detection classes on the area map;

[0094] In this example, the functional label is used to distinguish the radiation type corresponding to different detection classes;

[0095] In this example, the short preliminary route is the shortest preliminary route among two or more preliminary routes corresponding to overlapping routes.

[0096] In this example, the current detection item identifies the type of radiation that the drone is currently detecting;

[0097] In this example, the drone can operate in extreme temperatures (-40℃ to +50℃) and complex airflow conditions. During its patrol flight, the drone collects atmospheric and ground radiation data and monitors nuclide types and radiation data in real time.

[0098] The working principle and beneficial effects of the above technical solution are as follows: To better collect and detect data, a corresponding number of drones are first retrieved based on the area and map of the designated detection area. Due to the complex environment of the detection area, in order to improve the collection speed of the drones and ensure the comprehensiveness of the data collection, before formal collection, a corresponding working route is formulated for each drone based on the radiation situation of each detection location in the designated detection area and the distribution area of ​​different radiations. The drones can perform data collection work according to the formulated working route. At the same time, the information collected by the drones is initially screened, and the screened data fragments are recombined according to the time sequence to obtain several kinds of on-site data of the designated detection area. This system utilizes the rapid deployment and flexible flight characteristics of drones, which can cover a large monitoring area in a short time, greatly reducing the time cost of manual inspection. Compared with traditional manual monitoring or ground robot solutions, the automated operation of drones significantly reduces manpower input, while the equipment cost and maintenance cost are lower, making it more economical.

[0099] Example 4

[0100] Based on Example 1, the data reconstruction module of the aforementioned UAV emergency radiation detection and response system, such as... Figure 2 As shown, it includes:

[0101] The data classification unit is used to extract several detection data values ​​for each of the field data, cluster the detection data values ​​according to the detection dimension corresponding to each detection data value to obtain several clustered datasets, and analyze the data dispersion characteristics of each clustered dataset to establish a scatter plot of the corresponding clustered dataset.

[0102] The discrete analysis unit is used to locate the corresponding discrete points in each of the field data, divide each of the field data into several data frames according to the location results, identify the coordinate values ​​corresponding to each discrete point in the scatter plot, derive the dispersion between different discrete points in the same scatter plot, and sort the corresponding data frames according to the order of the dispersion from high to low to obtain the corresponding data frame queue.

[0103] The filtering execution unit is used to iteratively remove the last data frame of the data frame queue, generate an updated data frame queue after each removal, identify the data validity ratio corresponding to each updated data frame queue, filter the target updated data frame queue with the highest data validity ratio, and reassemble the valid data frames in the target updated data frame queue according to the order of the data frames in the corresponding field data to generate reassembled data.

[0104] The pollution analysis unit is used to identify the pollution dimension corresponding to each of the recombined data, determine several pollution indicators corresponding to the pollution dimension, allocate the recombined data to the corresponding pollution indicators to obtain several pollution information, identify the corresponding pollutants based on the pollution information, find the item attributes corresponding to each pollutant, and determine the pollution characteristics of the corresponding pollutant by combining the corresponding pollution information.

[0105] In this example, the detected data values ​​identify the numerical values ​​presented in the on-site data;

[0106] In this example, the detection dimensions include: gamma rays, radiation dose, and plume conditions;

[0107] In this example, the scatter plot represents the discreteness of the detected data values ​​contained in a clustered data class;

[0108] In this example, the dispersion represents the degree of dispersion between a discrete point in the scatter plot and the remaining discrete points;

[0109] In this example, iterative culling refers to the process of iteratively removing the last data from the data frame queue and replacing the original data frame queue with the resulting updated data frame queue.

[0110] In this example, the data validity ratio represents the ratio of non-discrete data in the updated data frame queue; the higher the data validity ratio, the more valid the data.

[0111] In this example, pollution indicators represent the pollution phenomena corresponding to a pollution dimension, and a pollution dimension can correspond to one or more pollution indicators.

[0112] In this example, the item attributes represent properties used to distinguish different contaminants.

[0113] The working principle and beneficial effects of the above technical solution are as follows: During the data collection process of the UAV, the detection data values ​​in the field data are extracted simultaneously. Then, the detection data values ​​under different detection dimensions are clustered to generate a clustered dataset, and its scatter plot is constructed. Further, each discrete point in the field data is located, thereby dividing the field data into several data frames. The dispersion between different discrete points is determined by analyzing the scatter plot. A data frame queue is established by sorting. Then, the last data in the data frame queue is repeatedly removed through iterative training. The effective data frame of the field data is determined by analyzing the effective ratio of the data after each removal. Then, it is recombined to form recombined data. By matching the pollution dimension and pollution index in the recombined data, the pollution information corresponding to each pollution index is determined, the corresponding pollutants are identified, and the pollution characteristics of the pollutants are determined by combining the material attributes of the pollutants. In this way, the location of pollutants can be effectively located, and the pollution risk of different pollutants to a designated detection area can be determined. This can meet the daily monitoring needs of the nuclear medicine department and can also be applied to sudden emergency scenarios such as radioactive source leakage and uncontrolled radioactive waste, realizing seamless connection between daily monitoring and emergency response.

[0114] Example 5

[0115] Based on Example 4, the pollution analysis unit of the aforementioned UAV emergency radiation detection and disposal system includes:

[0116] The dimension matching subunit is used to obtain several data attributes corresponding to the recombined data, find the contamination dimension corresponding to each recombined data according to the attribute presentation information corresponding to each preset contamination dimension, and perform format matching with the recombined data according to the data format corresponding to the contamination dimension. When the matching result is true, the contamination dimension of the corresponding recombined data is determined.

[0117] The pollution analysis subunit is used to establish data partitioning rules based on several pollution indicators corresponding to each pollution dimension, use the data partitioning rules to divide the corresponding recombined data into several indicator sub-data, and map the indicator sub-data to the corresponding pollution indicators to generate corresponding pollution information.

[0118] The source location subunit is used to find several pollution sources corresponding to each pollution information and the item identification features corresponding to each pollution source, identify each item identification feature in the field data, determine the pollutant corresponding to each pollution dimension based on the identification results, and find the item attributes of the pollutant in the specified detection area.

[0119] The feature generation subunit is used to analyze the distribution of each pollutant in the designated detection area and, in conjunction with the pollution information, determine the pollution features corresponding to each pollutant in the designated detection area.

[0120] In this example, data attributes represent the attributes presented by the various valid data frames contained in the reconstructed data, including: numerical, categorical, Boolean, temporal, one-dimensional data, two-dimensional data, tree data, and graph structure data;

[0121] In this example, the data format refers to the format of the data presented by a contamination dimension. When the data format matches the data attribute, it means that the corresponding recombinant information belongs to that contamination dimension.

[0122] In this example, the item identification features represent the characteristics used to identify the source of contamination;

[0123] In this example, the data partitioning rule refers to the rule for dividing and aggregating the data attributes corresponding to the recombined data based on the data attributes corresponding to each pollution indicator as the partitioning standard.

[0124] The working principle and beneficial effects of the above technical solution are as follows: To further clarify the pollutant situation in the designated detection area, the data attributes of the recombined data and the data format of the pollution dimension are matched to determine the pollution dimension corresponding to each recombined data. Then, for the pollution indicators corresponding to a pollution dimension, the recombined data is divided into several indicator sub-data, thereby determining the pollution information corresponding to each pollution indicator. By identifying the pollution source and the item attributes of each pollution information, the distribution of pollutants in the designated detection area is determined, thus determining the pollution characteristics of each pollutant. In this way, multiple pollutants can be analyzed simultaneously, improving the efficiency of synchronous analysis and providing a reliable basis for scientific decision-making.

[0125] Example 6

[0126] Based on Example 1, the pollution analysis module of the UAV emergency radiation detection and disposal system includes:

[0127] The chart drawing unit is used to draw an area appearance map of the designated detection area based on the field data, determine the basic diffusion characteristics of the pollutants based on the pollution characteristics corresponding to each pollutant, and mark the basic diffusion characteristics on the area appearance map to obtain a pollution distribution map of the designated detection area.

[0128] The diffusion analysis unit is used to establish an on-site environmental model of the designated detection area based on the on-site data, run the on-site environmental model to determine several environmental factors of the designated detection area, input each of the basic diffusion characteristics into the on-site environmental model for simulation, obtain the diffusion influence of different environmental factors on each of the basic diffusion characteristics, and mark them on the pollution distribution map to establish a dynamic distribution map.

[0129] The on-site analysis unit is used to repeatedly iterate and train the dynamic distribution map to obtain several simulated on-site diffusion information of each pollutant in the designated detection area. Each simulated on-site diffusion information is then input into the on-site environmental model for rationality analysis to obtain the diffusion rationality corresponding to each simulated on-site diffusion information.

[0130] The feature determination unit is used to screen several valid simulated field diffusion information with a diffusion rationality higher than the standard rationality, and determine the diffusion characteristics of the corresponding pollutant in the specified detection area based on the reasonable analysis results corresponding to each valid simulated field diffusion information.

[0131] In this example, the area appearance map represents the appearance image of the specified detection area;

[0132] In this example, the basic diffusion characteristics represent the features exhibited by pollutants when they diffuse naturally without external influence;

[0133] In this example, the on-site environment model represents a model of the environment that presents the specified detection area in virtual space;

[0134] In this example, environmental factors refer to the values ​​of the external environment of the specified detection area, including: temperature, humidity, wind speed, and wind direction;

[0135] In this example, repeated iterative training means running the dynamic distribution graph multiple times;

[0136] In this example, rationality analysis refers to the process of analyzing the contradictions between simulated on-site diffusion information and environmental factors in the on-site environment model;

[0137] In this example, the standard's reasonableness is 75%.

[0138] The working principle and beneficial effects of the above technical solution are as follows: By analyzing the diffusion characteristics of pollutants in a designated detection area, a foundation can be laid for the next step of hazard analysis. First, an area appearance map and on-site environmental model of the designated detection area are established based on on-site data. Then, a pollution distribution map is constructed based on the basic diffusion characteristics of each pollutant. The on-site environmental model is used to analyze the impact of different environmental factors on pollutant diffusion and generate a dynamic distribution map. By training the dynamic distribution map, the training results are input into the on-site environmental model for rationality analysis to determine the diffusion characteristics of each pollutant in the designated detection area. In this way, pollution assessment can be carried out in real time to determine the on-site situation of the designated detection area, which facilitates the generation of accurate emergency response recommendations.

[0139] Example 7

[0140] Based on Example 1, the emergency auxiliary module of the UAV emergency radiation detection and response system includes:

[0141] The hazard identification unit is used to find the pollution hazards corresponding to each pollutant at different pollution levels, and to analyze the pollution hazards corresponding to different detection areas in the specified detection area based on the diffusion characteristics.

[0142] The danger warning unit is used to determine the danger level corresponding to each of the detection areas based on the pollution hazards, and to retrieve the corresponding danger signals and transmit them to the reminder terminal of the corresponding detection area for reminder.

[0143] The hazard response unit is used to find the corresponding avoidance plan for each pollution hazard, adjust the corresponding avoidance plan based on the facility distribution of the corresponding detection area, generate a hazard emergency plan for each detection area, and display it.

[0144] The working principle and beneficial effects of the above technical solution are as follows: Based on the pollution hazards of pollutants at different pollution levels, the pollution hazards of different detection areas are determined, and corresponding danger signals are obtained for warning. At the same time, the evacuation plan is adjusted according to the on-site environmental data, generating a hazard emergency plan for the detection area. In this way, the emergency response time can be significantly shortened, the impact of accidents can be reduced, and the potential harm of radiation accidents to the environment and the public can be reduced through scientific radiation monitoring and pollution control, which helps to maintain social trust in nuclear medicine and related fields.

[0145] Example 8

[0146] Based on Embodiment 1, the aforementioned UAV emergency radiation detection and response system further includes:

[0147] The synchronous transmission module is used to create a field image of the designated detection area based on the field data, and transmit the field image to the ground control center for display.

[0148] It is also used to transmit the field data to the ground control center for display.

[0149] The working principle and beneficial effects of the above technical solution are as follows: Real-time transmission of on-site data and images to the ground control center can provide emergency personnel with directions for emergency decision-making. Compared with traditional manual monitoring or ground robot solutions, the automated operation of drones significantly reduces manpower input, while having lower equipment and maintenance costs, making it more economical.

[0150] Example 9

[0151] Based on Embodiment 1, the aforementioned UAV emergency radiation detection and response system further includes:

[0152] A continuous optimization module is used to acquire the task data of the UAV and reconstruct the working process of the UAV based on the task data.

[0153] Identify the task defects contained in the work process and analyze the causes of the task defects.

[0154] The defective components of the drone are optimized based on the stated cause of the defect.

[0155] In this example, mission data refers to the data generated by the drone while performing a mission;

[0156] In this example, mission defect refers to a defect that occurs when the drone is performing a mission.

[0157] The working principle and beneficial effects of the above technical solution: After the UAV completes its mission and returns to the ground, it is optimized to improve the effectiveness of the next mission.

[0158] Example 10

[0159] Based on Embodiment 1, the aforementioned UAV emergency radiation detection and response system further includes:

[0160] The drone contains one or more data acquisition devices;

[0161] The acquisition device includes: a gamma spectrometer, a radiation dose rate sensor, and a plume detection sensor.

[0162] The working principle and beneficial effects of the above technical solution: The advanced equipment such as the gamma spectrometer can identify commonly used radioactive isotopes in nuclear medicine (such as Tc-99m, I-131, etc.) and analyze their characteristics and dose levels, providing a reliable basis for scientific decision-making.

[0163] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. An emergency radiation detection and response system for unmanned aerial vehicles (UAVs), characterized in that, include: The radiation detection module is used to control the UAV to reach the designated detection area to collect information several times and obtain several kinds of on-site data of the designated detection area; The data recombination module is used to filter several valid data frames in each of the field data and recombine them, and to determine several pollutants in the designated detection area and the pollution characteristics corresponding to each pollutant based on each recombined data. The pollution analysis module is used to establish a pollution distribution map of the designated detection area and analyze the diffusion characteristics of each pollutant based on the on-site environmental information of the designated detection area. The emergency assistance module is used to find the pollution hazard corresponding to each pollutant, combine it with the corresponding diffusion characteristics to establish a danger signal for the designated detection area, establish a danger emergency plan, and display it. The data reconstruction module includes: The data classification unit is used to extract several detection data values ​​for each of the field data, cluster the detection data values ​​according to the detection dimension corresponding to each detection data value to obtain several clustered datasets, and analyze the data dispersion characteristics of each clustered dataset to establish a scatter plot of the corresponding clustered dataset. The discrete analysis unit is used to locate the corresponding discrete points in each of the field data, divide each of the field data into several data frames according to the location results, identify the coordinate values ​​corresponding to each discrete point in the scatter plot, derive the dispersion between different discrete points in the same scatter plot, and sort the corresponding data frames according to the order of the dispersion from high to low to obtain the corresponding data frame queue. The filtering execution unit is used to iteratively remove the last data frame of the data frame queue, generate an updated data frame queue after each removal, identify the data validity ratio corresponding to each updated data frame queue, filter the target updated data frame queue with the highest data validity ratio, and reassemble the valid data frames in the target updated data frame queue according to the order of the data frames in the corresponding field data to generate reassembled data. The pollution analysis unit is used to identify the pollution dimension corresponding to each of the recombined data, determine several pollution indicators corresponding to the pollution dimension, allocate the recombined data to the corresponding pollution indicators to obtain several pollution information, identify the corresponding pollutants based on the pollution information, find the item attributes corresponding to each pollutant, and determine the pollution characteristics of the corresponding pollutant by combining the corresponding pollution information. The pollution analysis unit includes: The dimension matching subunit is used to obtain several data attributes corresponding to the recombined data, find the contamination dimension corresponding to each recombined data according to the attribute presentation information corresponding to each preset contamination dimension, and perform format matching with the recombined data according to the data format corresponding to the contamination dimension. When the matching result is true, the contamination dimension of the corresponding recombined data is determined. The pollution analysis subunit is used to establish data partitioning rules based on several pollution indicators corresponding to each pollution dimension, use the data partitioning rules to divide the corresponding recombined data into several indicator sub-data, and map the indicator sub-data to the corresponding pollution indicators to generate corresponding pollution information. The source location subunit is used to find several pollution sources corresponding to each pollution information and the item identification features corresponding to each pollution source, identify each item identification feature in the field data, determine the pollutant corresponding to each pollution dimension based on the identification results, and find the item attributes of the pollutant in the specified detection area. The feature generation subunit is used to analyze the distribution of each pollutant in the designated detection area and determine the pollution feature corresponding to each pollutant in the designated detection area based on the pollution information. The radiation detection module includes: The detection preparation unit is used to acquire the area and map of the designated detection area, configure a corresponding number of drones for this detection operation based on the area, identify the radiation type corresponding to each detection location in the designated detection area in the map, classify detection locations with the same radiation type into the same detection category and mark them in the map. The flight path arrangement unit is used to set positioning tags for the corresponding detection class according to the detection area, identify the radiation type corresponding to each detection area in the area map and set function tags for the corresponding detection class, match the existing functions of each UAV with the function tags, generate a preliminary flight path for each UAV, filter overlapping flight paths between different preliminary flight paths, and allocate overlapping positioning tags corresponding to the overlapping flight paths to the corresponding short preliminary flight paths based on the shortest flight path principle, thereby generating a working flight path for each UAV. The information acquisition unit is used to control each UAV to arrive at the designated detection area according to the corresponding working flight path to collect information, obtain real-time detection information corresponding to each detection category, perform preliminary screening of the real-time detection information according to the current detection item of the corresponding UAV, obtain data segments related to the current detection item, and arrange the data segments according to the detection time order to obtain several kinds of field data of the designated detection area.

2. The UAV emergency radiation detection and handling system as described in claim 1, characterized in that, Also includes: An information display module is used to display the on-site data collected by the drone; It is also used to display the pollution distribution map of the designated detection area and the diffusion characteristics of each pollutant; It is also used to display the emergency response plan for the aforementioned danger.

3. The UAV emergency radiation detection and handling system as described in claim 1, characterized in that, The pollution analysis module includes: The chart drawing unit is used to draw an area appearance map of the designated detection area based on the field data, determine the basic diffusion characteristics of the pollutants based on the pollution characteristics corresponding to each pollutant, and mark the basic diffusion characteristics on the area appearance map to obtain a pollution distribution map of the designated detection area. The diffusion analysis unit is used to establish an on-site environmental model of the designated detection area based on the on-site data, run the on-site environmental model to determine several environmental factors of the designated detection area, input each of the basic diffusion characteristics into the on-site environmental model for simulation, obtain the diffusion influence of different environmental factors on each of the basic diffusion characteristics, and mark them on the pollution distribution map to establish a dynamic distribution map. The on-site analysis unit is used to repeatedly iterate and train the dynamic distribution map to obtain several simulated on-site diffusion information of each pollutant in the designated detection area. Each simulated on-site diffusion information is then input into the on-site environmental model for rationality analysis to obtain the diffusion rationality corresponding to each simulated on-site diffusion information. The feature determination unit is used to screen several valid simulated field diffusion information with a diffusion rationality higher than the standard rationality, and determine the diffusion characteristics of the corresponding pollutant in the specified detection area based on the reasonable analysis results corresponding to each valid simulated field diffusion information.

4. The UAV emergency radiation detection and handling system as described in claim 1, characterized in that, The emergency support module includes: The hazard identification unit is used to find the pollution hazards corresponding to each pollutant at different pollution levels, and to analyze the pollution hazards corresponding to different detection areas in the specified detection area based on the diffusion characteristics. The danger warning unit is used to determine the danger level corresponding to each of the detection areas based on the pollution hazards, and to retrieve the corresponding danger signals and transmit them to the reminder terminal of the corresponding detection area for reminder. The hazard response unit is used to find the corresponding avoidance plan for each pollution hazard, adjust the corresponding avoidance plan based on the facility distribution of the corresponding detection area, generate a hazard emergency plan for each detection area, and display it.

5. The UAV emergency radiation detection and handling system as described in claim 1, characterized in that, Also includes: The synchronous transmission module is used to create a field image of the designated detection area based on the field data, and transmit the field image to the ground control center for display. It is also used to transmit the field data to the ground control center for display.

6. The UAV emergency radiation detection and handling system as described in claim 1, characterized in that, Also includes: A continuous optimization module is used to acquire the task data of the UAV and reconstruct the working process of the UAV based on the task data. Identify the task defects contained in the work process and analyze the causes of the task defects. The defective components of the drone are optimized based on the stated cause of the defect.

7. The UAV emergency radiation detection and handling system as described in claim 1, characterized in that, Also includes: The drone contains one or more data acquisition devices; The acquisition device includes: a gamma spectrometer, a radiation dose rate sensor, and a plume detection sensor.

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