Methods, systems, electronic devices and storage media for dynamic monitoring of radioactive sources

Abstract

This application discloses a method, system, electronic device, and storage medium for dynamic monitoring of radioactive sources. The method includes: acquiring data from a preset radioactive source using a preset sensor module to obtain radioactive source data; performing data anomaly analysis based on the radioactive source data to obtain early warning data; encrypting the radioactive source data to obtain preset encrypted data; and transmitting the early warning data and the preset encrypted data to a preset monitoring platform for preset data management processing. The preset data management processing includes data analysis and data reporting. The embodiments of this application can effectively improve the real-time performance, accuracy, and security of radioactive source monitoring. This application can be widely applied in the field of radiation monitoring technology.

Description

Technical Field

[0001] This application relates to the field of radiation monitoring technology, and in particular to a method, system, electronic device and storage medium for dynamic monitoring of radioactive sources. Background Technology

[0002] With the widespread application of radioactive materials in medical, industrial, and scientific research fields, the safe management of radioactive sources has become a key focus of public concern. Monitoring high-risk radioactive sources (such as uranium and cobalt) requires real-time access to crucial data such as their location and radiation dose to prevent illegal dismantling, theft, or misuse. Currently, monitoring of high-risk radioactive sources relies primarily on manual inspections and periodic checks, which have several limitations, including limited monitoring range, poor real-time performance, susceptibility to human error, and difficulty in achieving comprehensive real-time monitoring.

[0003] In summary, the technical problems existing in the relevant technologies need to be improved. Summary of the Invention

[0004] The main objective of this application is to propose a method, system, electronic device, and storage medium for dynamic monitoring of radioactive sources, which can effectively improve the real-time performance, accuracy, and safety of radioactive source monitoring.

[0005] To achieve the above objectives, one aspect of this application proposes a method for dynamic monitoring of a radioactive source, the method comprising the following steps:

[0006] Data from a preset radioactive source is acquired by using a preset sensor module;

[0007] Based on the radioactive source data, data anomaly analysis is performed to obtain early warning data;

[0008] The radioactive source data is encrypted to obtain preset encrypted data;

[0009] The warning data and the preset encrypted data are transmitted to a preset monitoring platform for preset data management and processing; wherein, the preset data management and processing includes data analysis and data reporting.

[0010] In some embodiments, the radiation source data includes radiation source location data and radiation dose data;

[0011] The step of performing data anomaly analysis based on the radioactive source data to obtain early warning data includes:

[0012] When the radiation dose data is determined to be greater than the preset radiation threshold, a radiation impact analysis is performed based on the radiation source location data to obtain the number of people affected by radiation.

[0013] When it is determined that the number of people affected by radiation is greater than a preset threshold, the warning data is determined based on the radiation source location data and the radiation dose data.

[0014] In some embodiments, after determining the warning data based on the radiation source location data and the radiation dose data when it is determined that the number of people affected by radiation is greater than a preset number threshold, the method further includes:

[0015] Determine whether the radiation dose data meets preset warning conditions; wherein, the preset warning conditions include that the time when the radiation dose data is greater than the preset radiation threshold is not within a preset time period, or that the radiation dose data is in an incremental state;

[0016] When the radiation dose data is determined to meet the preset warning conditions, a radiation anomaly signal is generated, and the corresponding radiation area is detected to determine the radiation source information;

[0017] The corresponding equipment terminals are shut down based on the radiation source information.

[0018] In some embodiments, the radiation source data further includes electrical status data;

[0019] The step of performing data anomaly analysis based on the radioactive source data to obtain early warning data further includes:

[0020] Determine whether the battery status data is less than a preset battery threshold;

[0021] When the battery status data is determined to be less than the preset battery threshold, a low battery warning is generated.

[0022] In some embodiments, after performing the data acquisition of a preset radiation source using a preset sensor module to obtain radiation source data, the method further includes:

[0023] The radioactive source location data is corrected using a Kalman filter algorithm to obtain corrected location data.

[0024] In some embodiments, encrypting the radioactive source data to obtain preset encrypted data includes:

[0025] The radioactive source data is encrypted using an Advanced Encryption Standard (AES) algorithm to obtain the preset encrypted data.

[0026] In some embodiments, transmitting the early warning data and the preset encrypted data to a preset monitoring platform includes:

[0027] The signal propagation strength data of the warning data and the preset encrypted data are calculated according to a preset path loss algorithm;

[0028] When it is determined that the signal propagation strength data is less than a preset strength threshold, the warning data and the preset encrypted data are transmitted to a preset relay module, so as to be transmitted to the preset monitoring platform through the preset relay module.

[0029] To achieve the above objectives, another aspect of this application proposes a dynamic monitoring system for a radioactive source, the system comprising:

[0030] The first module is used to collect data from a preset radioactive source through a preset sensor module to obtain radioactive source data;

[0031] The second module is used to perform data anomaly analysis based on the radioactive source data to obtain early warning data.

[0032] The third module is used to encrypt the radioactive source data to obtain preset encrypted data;

[0033] The fourth module is used to transmit the early warning data and the preset encrypted data to a preset monitoring platform for preset data management and processing through the preset monitoring platform; wherein, the preset data management and processing includes data analysis and data reporting.

[0034] To achieve the above objectives, another aspect of this application provides an electronic device, the electronic device comprising:

[0035] At least one processor;

[0036] At least one memory for storing at least one program;

[0037] When the at least one program is executed by the at least one processor, the at least one processor performs the method described above.

[0038] To achieve the above objectives, another aspect of the embodiments of this application proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method.

[0039] The embodiments of this application include at least the following beneficial effects: This application provides a method, system, electronic device, and storage medium for dynamic monitoring of radioactive sources. This scheme acquires data from a preset radioactive source using a preset sensor module to obtain radioactive source data. Next, the embodiments of this invention perform data anomaly analysis based on the radioactive source data to obtain predicted data, and simultaneously encrypt the radioactive source data to obtain preset encrypted data. Finally, the embodiments of this invention transmit the predicted data and preset encrypted data to a preset monitoring platform for preset data management processing, thereby realizing dynamic monitoring and management of radioactive sources. The preset data management processing in the embodiments of this invention includes data analysis and data reporting. It is readily understood that by performing data anomaly analysis on the radioactive source data and simultaneously encrypting the radioactive source data, the embodiments of this invention can effectively improve the real-time performance and security of radioactive source monitoring. Furthermore, by performing data analysis and data reporting processing on the received warning data and preset encrypted data through the preset monitoring platform, the accuracy of radioactive source monitoring can be effectively improved. Attached Figure Description

[0040] Figure 1 This is a flowchart of the steps of the dynamic monitoring method for radioactive sources provided in the embodiments of the present invention;

[0041] Figure 2 This is a schematic diagram of the architecture of the dynamic monitoring method for radioactive sources provided in an embodiment of the present invention;

[0042] Figure 3 This is a schematic diagram of the data flow of the dynamic monitoring method for radioactive sources provided in an embodiment of the present invention;

[0043] Figure 4 This is a data processing flowchart of the dynamic monitoring method for radioactive sources provided in this embodiment of the invention;

[0044] Figure 5 This is a schematic diagram of the overall process of the dynamic monitoring method for radioactive sources provided in the embodiments of the present invention;

[0045] Figure 6 This is a schematic diagram of the structure of the dynamic monitoring system for radioactive sources provided in an embodiment of the present invention;

[0046] Figure 7 This is a schematic diagram of the hardware structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit it. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0048] It is understood that the terms “first,” “second,” etc., used in this application may be used to describe various concepts herein, but unless otherwise stated, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the words “if” or “when” as used herein may be interpreted as “when…” or “in response to determination.”

[0049] As used in this application, the terms "at least one", "multiple", "each", "any", etc., "at least one" includes one, two or more, "multiple" includes two or more, "each" refers to each of the corresponding multiples, and "any" refers to any one of the multiples.

[0050] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0051] Before providing a detailed description of the embodiments of this application, some of the nouns and terms involved in the embodiments of this application will be explained first. The nouns and terms involved in the embodiments of this application are subject to the following interpretations.

[0052] Kalman filtering is an algorithm that uses the state equations of a linear system and observed data of the system's input and output to make an optimal estimate of the system state. Accordingly, it predicts the state based on the system's dynamic model and corrects these predictions using actual measurement data, thereby achieving an optimal estimate of the system state.

[0053] With the widespread application of radioactive materials in medical, industrial, and scientific research fields, the safe management of radioactive sources has become a key focus of public concern. Monitoring high-risk radioactive sources (such as uranium and cobalt) requires real-time access to critical data such as their location and radiation dose to prevent illegal dismantling, theft, or misuse. Currently, monitoring of high-risk radioactive sources relies primarily on manual inspections and periodic checks, which have several limitations, including limited monitoring range, poor real-time performance, susceptibility to human error, and difficulty in achieving comprehensive real-time monitoring. For example, traditional methods rely on manual inspections, which are inefficient and easily affected by human factors, failing to detect potential safety hazards in real time. Secondly, traditional systems cannot flexibly adapt to dynamic changes in the location of radioactive sources, especially when the source is moving or located in remote areas. In such cases, monitoring systems often cannot provide effective real-time data, resulting in information lag and insufficient coverage. Furthermore, traditional systems lack adequate data security, failing to adequately consider encryption and anti-tampering mechanisms during data transmission, making them vulnerable to hacker attacks or data breaches.

[0054] In view of this, this application provides a method, system, electronic device, and storage medium for dynamic monitoring of radioactive sources. This scheme acquires data from a preset radioactive source using a preset sensor module. Next, the embodiment performs anomaly analysis on the radioactive source data to obtain predicted data, and simultaneously encrypts the radioactive source data to obtain preset encrypted data. Finally, the embodiment transmits the predicted data and the preset encrypted data to a preset monitoring platform for preset data management processing, including data analysis and data reporting, thereby achieving dynamic monitoring and management of radioactive sources and effectively improving the real-time performance, accuracy, and security of radioactive source monitoring.

[0055] The method for dynamic monitoring of radioactive sources provided in this application relates to the field of radiation monitoring technology. This method can be applied to a terminal, a server, or software running on either a terminal or a server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, or vehicle-mounted terminal, but is not limited to these. The server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network. The software can be an application implementing the method for dynamic monitoring of radioactive sources, but is not limited to the above forms.

[0056] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0057] Figure 1 This is an optional flowchart of the dynamic monitoring method for radioactive sources provided in the embodiments of this application. Figure 1 The method may include, but is not limited to, steps S110 to S140.

[0058] Step S110: Collect data from the preset radioactive source using the preset sensor module to obtain radioactive source data.

[0059] Step S120: Perform data anomaly analysis based on the radioactive source data to obtain early warning data.

[0060] Step S130: Encrypt the radioactive source data to obtain preset encrypted data.

[0061] Step S140: Transmit the early warning data and preset encrypted data to the preset monitoring platform for preset data management processing. The preset data management processing includes data analysis and data reporting.

[0062] In the operation of this specific embodiment, the present invention first acquires data from a preset radiation source using a preset sensor module to obtain radiation source data. Specifically, in this embodiment, the preset sensor module refers to a sensor module used for monitoring terminal data acquisition, such as a position sensor, a radiation sensor, and a power sensor. For example, ... Figure 2As shown, in this embodiment of the invention, the monitoring terminal is equipped with a monitoring terminal data acquisition module (preset sensor module). This module collects relevant data about the preset radioactive source, obtaining radioactive source data. Next, this embodiment performs data anomaly analysis based on the radioactive source data to obtain early warning data. Specifically, after collecting the radioactive source data, this embodiment uses an intelligent early warning module to perform data anomaly analysis to determine whether there is an anomaly in the current radioactive source and obtain corresponding early warning data. For example, such as... Figure 2 As shown, in this embodiment of the invention, the monitoring terminal is also equipped with an intelligent early warning module. The intelligent early warning module performs anomaly judgment on the detected radioactive source data and issues an early warning based on the judgment result, thus obtaining early warning data. Next, this embodiment of the invention encrypts the radioactive source data to obtain preset encrypted data. Specifically, during data transmission, the problem of data being illegally intercepted, tampered with, or leaked can easily occur, leading to low system security and reliability. Therefore, this embodiment of the invention encrypts the radioactive source data before transmitting it to obtain corresponding preset encrypted data, thereby mitigating the problem of monitoring data being attacked or leaked by external forces. Finally, this embodiment of the invention transmits the early warning data and the preset encrypted data to a preset monitoring platform for preset data management processing. Specifically, in this embodiment of the invention, the preset monitoring platform is communicatively connected to the monitoring terminal so that the preset encrypted data collected and encrypted by the preset sensor module and the early warning data analyzed by the intelligent early warning module can be transmitted to the preset monitoring platform. Correspondingly, this embodiment of the invention uses the preset monitoring platform to parse and process the received data for preset data management processing. The preset data management processing in this embodiment of the invention includes data analysis and data reporting. For example, as shown... Figure 2 As shown, in this embodiment of the invention, the monitoring platform has a built-in platform data transceiver module, a platform data management module, a platform GIS module, and a data interface module. The data interface module is also connected to the data center of the superior management department. In this embodiment, the monitoring terminal communicates with the preset monitoring platform through the platform data transceiver module to enable the preset monitoring platform to control the transmission and reception of data from the monitoring terminal, query data, query device status, and push information. Simultaneously, in this embodiment, the platform data management module parses and distributes the data received by the platform data transceiver module for processing and querying various data. Furthermore, in this embodiment, the platform GIS module performs GIS analysis on the received data and information and displays the data using a map to achieve data visualization. Correspondingly, in this embodiment, the preset monitoring platform connects with the data center of the superior management department through the data interface module to achieve data reporting.

[0063] In some embodiments of the present invention, the radiation source data includes radiation source location data and radiation dose data. Accordingly, embodiments of the present invention perform data anomaly analysis based on the radiation source data to obtain early warning data, including but not limited to the following steps:

[0064] When the radiation dose data is determined to be greater than the preset radiation threshold, radiation impact analysis is performed based on the radiation source location data to obtain the number of people affected by radiation.

[0065] When the number of people affected by radiation is determined to be greater than the preset threshold, early warning data is determined based on radiation source location data and radiation dose data.

[0066] In this specific embodiment, the radiation source location data refers to the location data of the radiation source, which is collected by a corresponding positioning sensor (such as a Beidou module or GPS module). Correspondingly, the radiation dose data in this embodiment refers to the specific quantitative value of the quantity and intensity of ionizing radiation received by a human body or object, i.e., dose ionizing radiation data. For example, in this embodiment, the ionizing radiation level of the radiation source is measured by a radiation dose sensor in the device terminal. The output of the radiation dose sensor can be expressed as a radiation dose rate (unit: Sv / h or Gy / h), which needs to be periodically transmitted to the monitoring terminal for processing. Accordingly, in the process of data anomaly analysis, this embodiment first determines whether the radiation dose data is greater than a preset radiation threshold. Specifically, in this embodiment, the preset radiation threshold refers to a pre-set radiation dose safety threshold. When it is determined that the radiation dose data is greater than the preset radiation threshold, it indicates that the current radiation level is abnormal. At this time, this embodiment performs radiation impact analysis based on the radiation source location data to obtain the number of people affected by radiation. In this embodiment, the number of people affected by radiation refers to the number of people affected at this radiation level. Next, this embodiment determines whether the number of people affected by radiation is greater than a preset number threshold. When the number of people affected by radiation is determined to be greater than a preset threshold, this embodiment of the invention determines corresponding early warning data based on radiation source location data and radiation dose data. For example, in this embodiment, after determining that the radiation dose data is greater than the preset radiation threshold, this embodiment analyzes the radiation source location data to analyze the people affected by radiation. When the number of people affected by radiation is determined to be greater than 10 (the preset threshold), this embodiment generates corresponding early warning data through an intelligent early warning module and sends a radiation early warning to a preset monitoring platform through a platform data transmission and reception model. The preset monitoring platform then visualizes the received early warning data.

[0067] In some embodiments of the present invention, after determining that the number of people affected by radiation is greater than a preset threshold and determining early warning data based on radiation source location data and radiation dose data, the dynamic monitoring method for radiation sources provided in the embodiments of the present invention further includes, but is not limited to, the following steps:

[0068] Determine whether the radiation dose data meets the preset warning conditions. The preset warning conditions include that the radiation dose data exceeds the preset radiation threshold at a time that is not within a preset time period, or that the radiation dose data is in an incremental state.

[0069] When the radiation dose data is determined to meet the preset warning conditions, a radiation anomaly signal is generated, and the corresponding radiation area is detected to determine the radiation source information.

[0070] The corresponding equipment terminals are shut down based on the radiation source information.

[0071] In this specific embodiment, when the radiation dose is determined to be greater than a preset radiation threshold, an early warning is issued and a warning signal is sent to the platform's data transceiver module. Then, it is determined whether the radiation dose data meets the preset early warning conditions. Specifically, the preset early warning conditions in this embodiment include the radiation dose data exceeding the preset radiation threshold not falling within a preset time period, or the radiation dose data being in an incremental state. For example, the time exceeding the preset radiation threshold is not within a preset time range. Or, the time exceeding the preset radiation threshold is within a preset time range, but the radiation dose data is in a continuously rising state, i.e., an incremental state. Accordingly, when it is determined that the radiation dose data does not meet the preset early warning conditions, this embodiment ends the early warning. Conversely, when it is determined that the radiation dose data meets the preset early warning conditions, this embodiment generates a radiation anomaly signal and detects the corresponding radiation area to determine the radiation source information, and then shuts down the corresponding device terminal based on the radiation source information. Wherein, when it is determined that the radiation dose data meets the preset early warning conditions, it indicates that the radiation is in an abnormal state of continuous increase. In this embodiment, the radiation anomaly signal is sent to the preset monitoring platform and synchronized to the data center of the superior management department. Then, based on relevant data information, such as radiation source location data and radiation dose data, this embodiment of the invention analyzes the radiation personnel and detects the radiation area. When the area detection is completed, it is determined whether the radiation level has decreased. If the radiation level has decreased, it is re-determined whether the preset warning conditions are met. Conversely, if the radiation level has not decreased, this embodiment of the invention continues to send a radiation anomaly signal to the preset monitoring platform. Further, this embodiment of the invention determines the radiation source information based on the corresponding radiation anomaly signal, area detection data, and other data information. Accordingly, after determining the radiation source information, this embodiment of the invention first verifies the source information. When it is determined that the verified information is a false alarm, this embodiment of the invention returns to the step of determining whether the radiation dose data meets the preset warning conditions. Conversely, when it is determined that the verified information is not a false alarm, this embodiment of the invention sends the corresponding radiation anomaly signal to the preset monitoring platform and synchronizes it to the data center of the superior management department. Then, this embodiment of the invention shuts down the corresponding equipment terminals based on the determined radiation source information, thereby achieving reliable and timely management of the radiation source.

[0072] In some embodiments of the present invention, the radioactive source data also includes electrical status data. Accordingly, the embodiments of the present invention perform data anomaly analysis based on the radioactive source data to obtain early warning data, and also include, but are not limited to, the following steps:

[0073] Determine if the battery status data is less than the preset battery threshold.

[0074] When the battery status data is determined to be less than the preset battery threshold, a low battery warning is generated.

[0075] In this specific embodiment, the power status data refers to the remaining battery power of the radioactive source device terminal. Accordingly, during the data anomaly analysis process, this embodiment also determines whether the power status data is less than a preset power threshold. When it is determined that the power status data is less than the preset power threshold, a low battery warning is generated. Specifically, in this embodiment, the preset power threshold refers to the low battery threshold of the radioactive source device terminal. In this embodiment, the monitoring terminal obtains the power status data through the battery module of the radioactive source device terminal. Then, the collected power status data is compared with the preset power threshold to determine whether a low battery warning is triggered. For example, when it is determined that the power status data of the radioactive source device terminal is less than 20% (the preset power threshold), it is determined that the current radioactive source device terminal is in a low battery state. At this time, this embodiment transmits the remaining power information to the platform data transceiver module and generates a low battery warning through the platform data transceiver module. It is easy to understand that this embodiment monitors the battery power in real time through the battery module to ensure that the system issues an early warning when the battery power is too low, avoiding monitoring terminal failure due to power depletion.

[0076] For example, in this embodiment of the invention, the monitoring terminal, as an important component of the system, is one or two units in number. Its specific configuration includes a BeiDou or GPS module, an Android host, and a device terminal, or it can be directly integrated into an Android terminal with a BeiDou or GPS module to ensure system stability and efficiency. Accordingly, in this embodiment of the invention, the monitoring terminal runs on the Android system and has real-time data acquisition and processing capabilities. Specifically, the monitoring terminal's data acquisition module is responsible for acquiring the location information of the radiation source, dose ionizing radiation data, and remaining battery power, while simultaneously using an intelligent early warning module to determine and handle abnormal states. To ensure the accuracy and security of the monitoring data, the system employs a multi-dimensional data fusion and encrypted transmission mechanism. For example... Figure 3 The diagram shown is a data flow diagram of this scheme.

[0077] In some embodiments of the present invention, after performing data acquisition on a preset radioactive source through a preset sensor module to obtain radioactive source data, the radioactive source dynamic monitoring method provided by the embodiments of the present invention further includes, but is not limited to, the following steps:

[0078] The radioactive source location data is corrected using the Kalman filter algorithm to obtain the corrected location data.

[0079] In this specific embodiment, the present invention uses a Kalman filter algorithm to correct the radioactive source location data to obtain corrected location data. Specifically, in this embodiment, the monitoring terminal data acquisition module obtains the location information of the radioactive source by accessing a Beidou or GPS module, and combines this with an intelligent early warning module to detect anomalies in the radioactive source data in real time. Accordingly, in this embodiment, the location information is processed using a combined filtering algorithm to improve the accuracy and anti-interference capability of the location information. For example, when the true location of the radioactive source at a certain moment is X... t The initial location information collected by the monitoring terminal is Z. t The Kalman filter method is used for correction, as shown in equation (1) below:

[0080]

[0081] Where F is the state transition matrix, G is the control input matrix, and U t To control the input, W t and V t Let X be the process noise and the observation noise, respectively, and H be the observation matrix. It is easy to understand that, through the above formula (1), X... t+1 It can integrate historical data and current observations to eliminate the impact of random interference on positioning results, outputting more accurate location information. The system combines the corrected location information with the GIS module to achieve dynamic visualization of the radiation source trajectory, and simultaneously issues alarms for abnormal situations that deviate from the predetermined trajectory.

[0082] It is readily understood that in the monitoring terminal of this embodiment of the invention, data communication between the terminal body and the device terminal is achieved via wired or wireless means. The device terminal integrates multiple sensors for real-time monitoring and recording of physical parameters related to the radiation source. The main parameters detected by the sensors include low-frequency, high-precision radiation dose, triaxial acceleration, angular velocity, and angle values. The data provided by these sensors helps determine the device status, ensuring that the system can respond promptly to anomalies and perform precise location and monitoring during operation. The radiation dose sensor in the device terminal measures the ionizing radiation level of the radiation source. The output of this sensor can be expressed as a radiation dose rate (units are Sv / h or Gy / h), which needs to be periodically transmitted to the monitoring terminal for processing. Simultaneously, the acceleration sensor in the device terminal can monitor the device's triaxial acceleration α in real time. x ,a y ,a z These sensors are used to detect the motion status of equipment. Angular velocity sensors measure the rotation rate of the equipment, while angle sensors measure the attitude angles. This information is used to assess whether the equipment is in normal working order or has been tampered with or illegally operated. Figure 4 The diagram shown is a flowchart of the data processing scheme.

[0083] It should be noted that, through Kalman filtering, the system in this embodiment of the invention can fuse information such as acceleration, angular velocity, and angle provided by different sensors to optimize the estimation of the device's attitude and motion state, and eliminate the influence of noise. Furthermore, for radiation dose monitoring, the radiation dose value D output by the sensor... t The radiation dose variation over time can be obtained by combining the data related to time t and location using the following formula, as shown in equation (2):

[0084] D t =D0·e -λt (2)

[0085] Wherein, D t Let be the radiation dose at time t; D0 be the initial radiation dose; λ be the attenuation constant, reflecting the attenuation rate of the radiation source; and t be time. Using this formula, the system can monitor the change in radiation dose over time in real time and promptly detect abnormal fluctuations. The monitoring terminal makes anomaly judgments based on the collected radiation dose and equipment status data. If the radiation dose of the equipment exceeds the safety threshold or the sensor data is abnormal, the intelligent early warning module will trigger an alarm and transmit encrypted data to the preset monitoring platform.

[0086] For example, in this embodiment of the invention, the acceleration data measured by the triaxial accelerometer integrated into the radiation source device terminal is: The angular velocity measured by the angular velocity sensor is The angle sensor measures the device angle as θ = 5°. Correspondingly, after Kalman filtering, this data allows the system to accurately calculate the device's trajectory and attitude. Simultaneously, when the device is located in a radiation source monitoring area with an initial radiation dose of D0 = 0.5 Sv / h and an attenuation constant λ = 0.1 Sv / h, after 10 hours, the device's radiation dose D... t The descent will be as shown in equation (3):

[0087] D 10 =0.5·e -0.1×10 =0.5·e -1 ≈0.18Sv / h (3)

[0088] Accordingly, when the radiation dose is below a set threshold or exceeds a safe range, the system will promptly trigger an early warning to ensure the safe operation of the equipment. Therefore, the monitoring terminal in this embodiment of the invention can not only acquire radiation dose and equipment status information in real time, but also improve the accuracy of the system by fusing sensor data, ensuring real-time monitoring of equipment status and anomaly response capabilities.

[0089] In some embodiments of the present invention, radioactive source data is encrypted to obtain preset encrypted data, including but not limited to the following steps:

[0090] The radioactive source data is encrypted using an advanced encryption standard algorithm to obtain pre-encrypted data.

[0091] In this specific embodiment, the present invention uses the Advanced Encryption Standard (AES) algorithm to encrypt the radioactive source data to obtain preset encrypted data. Specifically, the Advanced Encryption Standard (AES) algorithm in this embodiment is a symmetric key encryption algorithm, and the same key is used for encryption and decryption. Correspondingly, the monitoring terminal data acquisition module detects the battery status and radiation dose changes of the radioactive source to help determine whether the device terminal is in normal operation. When an abnormal situation is detected, such as the battery power being lower than a set threshold or the radiation dose exceeding the safe range, the intelligent early warning module will issue an early warning signal and trigger the data encryption mechanism to send the abnormal information to the preset monitoring platform via wireless connection. In this embodiment, the encryption algorithm uses the AES (Advanced Encryption Standard) algorithm, and its encryption process is shown in the following formula (4):

[0092] C = E(K,P) (4)

[0093] In the formula, C represents the ciphertext, E represents the encryption function, K represents the encryption key, and P represents the original data. Accordingly, in this embodiment of the invention, the ciphertext is transmitted via a wireless communication module to ensure the integrity and confidentiality of the data during transmission. After decryption by the platform data transceiver module, the anomaly information is transmitted to the platform data management module and the GIS module for further analysis and processing.

[0094] For example, when the initial observation value of the location information of a certain radioactive source is Z t The system initially introduced an interference error δ, which was reduced to δ′ after Kalman filtering correction. The corrected location information, combined with the GIS module's display on a map, revealed a deviation from the preset trajectory exceeding 100 meters. Simultaneously, the system detected a battery level below 10%. The system immediately triggered an alert and encrypted the data before sending it to a preset monitoring platform. The platform then parsed the data and pushed the alarm information to relevant management personnel for rapid response to potential risks. It is readily understood that this embodiment of the invention, through location information correction and encrypted data transmission mechanisms, improves the system's positioning accuracy and data security, effectively ensuring the online monitoring capability of high-risk radioactive sources.

[0095] In some embodiments of the present invention, the early warning data and the preset encrypted data are transmitted to a preset monitoring platform, including but not limited to the following steps:

[0096] The signal propagation strength data of the early warning data and the preset encrypted data are calculated based on the preset path loss algorithm.

[0097] When the signal propagation strength data is determined to be less than the preset strength threshold, the warning data and the preset encrypted data are transmitted to the preset relay module, so that they can be transmitted to the preset monitoring platform through the preset relay module.

[0098] In this specific embodiment, the present invention first calculates the signal propagation strength data of the warning data and the preset encrypted data according to a preset path loss algorithm to determine whether the signal propagation strength data is less than a preset strength threshold. When it is determined that the signal propagation strength data is less than the preset strength threshold, the present invention transmits the warning data and the preset encrypted data to a preset relay module, and then transmits them to a preset monitoring platform through the preset relay module. Specifically, in the present invention, the monitoring terminal collects data from the radiation source through a built-in sensor and encrypts the data through an encryption module. Then, the encrypted data is transmitted to the preset monitoring platform through a wireless communication interface. In some areas with poor signal or far from the central monitoring area, data transmission may be limited. At this time, the relay device (preset relay module) will play a role in the area where the signal is interrupted, receiving data from the monitoring terminal and forwarding it to the preset monitoring platform. The present invention sets up a preset relay device to ensure that it can work stably in complex terrain and different environments, ensuring timely data transmission. Accordingly, in order to analyze the performance of the relay device, the present invention uses a radio wave propagation model to describe the signal attenuation in different environments. For example, when the signal strength P d The variation with distance d follows the free space path loss model, which is shown in equation (5) below:

[0099]

[0100] Wherein, P d P0 is the signal strength at a distance d. P0 is the signal strength at a reference distance d0. d is the actual distance the signal has traveled. n is the environmental attenuation factor, which is typically n≈2 in urban environments, but increases in areas with many obstacles, such as mountainous areas or building complexes.

[0101] It is readily understood that, through the above formula (5), this embodiment of the invention can predict how the signal strength attenuates with increasing distance in areas with poor signal, thereby determining whether a relay device is needed. Accordingly, in this embodiment, the relay device compensates for path loss by increasing the signal propagation range, ensuring that the signal can reach distant areas or areas blocked by obstacles. When the signal propagation strength data is determined to be less than a preset strength threshold, this embodiment transmits the warning data and preset encrypted data through a preset relay module, thereby improving the signal transmission distance and reliability. Accordingly, through the setting of the preset relay module in this embodiment, the system can provide continuous and reliable online monitoring capabilities over a wide geographical area. For example, in cities, mountainous areas, or complex environments, the monitoring terminal, through cooperation with the relay device, ensures that monitoring data can be transmitted to the monitoring platform in real time, guaranteeing real-time monitoring of the radiation source.

[0102] For example, when the monitoring terminal is located in a mountainous area with weak signal, the signal strength decreases with distance. According to the path loss formula above, when the reference signal strength is P0 = 10dB, the initial signal propagation distance is d0 = 10 meters, and the environmental attenuation factor is n = 3, the signal strength at a distance of 50 meters is as shown in equation (6):

[0103]

[0104] Therefore, at greater distances, the signal attenuates significantly. In this case, if the relay device is located in the intermediate area, the received signal strength is P0 = 0.08 dB. The signal is then forwarded to the monitoring platform via the relay device, ensuring stable data transmission. This embodiment of the invention, through the use of relay devices, enhances signal coverage, ensures device stability and secure data transmission, enabling the system to maintain efficient monitoring and data transmission capabilities in various environments. This is particularly important for real-time online monitoring of high-risk radioactive sources.

[0105] It should be noted that in the monitoring terminal of this embodiment of the invention, the main body of the terminal integrates multiple core modules, including a Beidou / GPS positioning module, a battery module, a data interface module, an indicator light module, an encryption module, and a monitoring terminal shell. Each module has a specific function, and they cooperate to ensure that the system can work in real time, stably, and securely, and to complete data transmission and status updates with the monitoring platform. The Beidou / GPS positioning module is used to provide the monitoring terminal's location information in real time, ensuring that the system can track the location of the radiation source. Accordingly, this embodiment of the invention corrects the initial location information using a Kalman filter algorithm. Here, the Beidou / GPS module provides the original positioning data Z. t This data, along with other sensor data, is input into a Kalman filter algorithm for optimization, resulting in a more accurate position estimate X. tThe battery module provides a continuous power supply to the monitoring terminal. Since the monitoring terminal needs to continuously collect data, communicate, and process data, the remaining battery power is crucial to the system's reliability. The battery module's status is monitored in real-time by the monitoring terminal's intelligent early warning module. When the battery power falls below a preset threshold, the system issues an early warning and sends the encrypted information to the monitoring platform for timely maintenance or replacement. In this embodiment of the invention, the battery power E... t The change over time is described by a decay model, as shown in equation (7):

[0106] E t =E0·e -αt (7)

[0107] Where E t Let E0 be the remaining battery charge at time t; E0 be the initial battery charge; α be the battery degradation rate; and t be time. This embodiment of the invention uses the above formula (7) to predict the remaining battery life, thereby helping the system manage battery life and prevent device failure due to insufficient power.

[0108] In addition, the indicator light module in this embodiment of the invention is used to provide visual feedback on the device status. For example, when the monitoring terminal is in normal operation, the indicator light module displays green; when the device has insufficient power, the radiation dose exceeds a preset threshold, or other abnormalities occur, the indicator light will turn red to prompt the operator to check and handle the situation.

[0109] For example, during data transmission, the monitoring terminal collects data such as radiation dose, location, and acceleration of the radiation source through sensors and transmits this data to the data interface module. The data interface module encrypts the data using an encryption module and then sends it wirelessly to a preset monitoring platform. On the platform, the received data is decrypted and further analyzed. If low battery power or abnormal radiation dose is detected, the system triggers an alarm through the intelligent warning module and provides visual feedback to the operator through an indicator light module. For example, when the initial battery power of the monitoring terminal is E0 = 100%, and the battery decay rate α = 0.05 per hour, after 10 hours, the remaining battery power E... t As shown in equation (8):

[0110] E 10 =100·e -0.05×10 ≈60.65% (8)

[0111] Correspondingly, when the battery level falls below a set threshold (e.g., 20%), the monitoring terminal will issue an alarm through the intelligent warning module and send the battery status information to the preset monitoring platform via the encrypted data interface module. Simultaneously, the indicator light module will turn red, alerting the operator that the equipment has insufficient power.

[0112] Meanwhile, the monitoring terminal's casing serves to protect the internal modules and provide robust structural support, especially crucial when operating in harsh environments. The casing design must ensure the device's waterproof, dustproof, and shock-resistant performance to adapt to various working conditions. In this embodiment of the invention, the monitoring terminal's casing is securely fixed to the terminal device using at least four sets of mounting bolts, effectively enhancing the device's shock resistance and anti-interference capabilities. This design enables the device to operate stably in complex and harsh environments, particularly in high-risk areas (such as transportation, construction sites, or other environments with significant vibration), preventing equipment failure or data loss due to external impacts or vibrations. Furthermore, the selection of casing materials also considers waterproof and dustproof requirements, ensuring long-term stable operation even under harsh environmental conditions (such as high temperature, high humidity, and dusty environments).

[0113] The following section provides a detailed introduction and explanation of the solutions in this embodiment of the invention, using a specific scenario of dynamic monitoring of radioactive sources:

[0114] For example, such as Figure 5 As shown, Figure 5This is a schematic diagram of the overall process of the dynamic monitoring method for radioactive sources provided in this embodiment of the invention. Specifically, this embodiment first collects data on the location, radiation dose, and remaining battery power of the radioactive source through a monitoring terminal, encrypts the data, and then sends it wirelessly to the platform data transceiver module of a preset monitoring platform. Simultaneously, the intelligent early warning system of the monitoring terminal analyzes the radiation dose data in real time. When the radiation dose exceeds the warning range, it immediately issues an early warning message to the platform data transceiver module. Correspondingly, the platform data transceiver module distributes the processed data to the platform data management module. The platform data management module handles various business types, maintains the radioactive source database, and analyzes and processes the data through the platform GIS module, displaying radioactive source information on a map. In addition, in this embodiment, the platform data transceiver module connects to the data center of the superior management department through a data interface module for data transmission. Furthermore, the platform data transceiver module receives real-time data sent by the monitoring terminal and issues a low battery warning to the preset monitoring platform when the device's battery module is extremely low. Simultaneously, when the monitoring terminal is disassembled, lost, or the device is started, the indicator light on the monitoring terminal displays an abnormal status, and this abnormal state is uploaded to the platform data transceiver module. Upon receiving the abnormal signal information, the platform data transceiver module sends a warning message to the preset monitoring platform. In this embodiment of the invention, the wireless connection method includes MQTT or TCP / IP protocol transmission. Furthermore, the monitoring terminal's main body integrates a 3G / 4G communication module.

[0115] It is readily understood that, by integrating high-precision sensors (such as radiation dose sensors, acceleration sensors, angular velocity sensors, and angle sensors), the system can accurately monitor the radiation dose, location, and dynamic status of the radiation source. Correspondingly, the data provided by these sensors undergoes real-time processing and Kalman filtering optimization, effectively removing noise and measurement errors and ensuring high accuracy and stability of the monitoring data. The Kalman filter combines information from different sources, reducing errors caused by environmental changes, equipment vibration, or external interference through weighted averaging of sensor data, thus making the monitoring of the radiation source's location and dose more reliable. Furthermore, the intelligent early warning module can promptly determine whether the data exceeds a safety threshold, and the system immediately sends an early warning message to the preset monitoring platform, ensuring a rapid response to abnormal situations and minimizing potential risks from the radiation source. Additionally, this invention employs the AES-256 encryption standard to encrypt all data transmitted wirelessly, mitigating the problem of illegal interception, tampering, or leakage of data during transmission. This encryption mechanism effectively ensures system security, especially when monitoring high-risk radiation sources, effectively mitigating the problem of external attacks or data leakage. Furthermore, the data interface module, through its connection with the data center of the superior management department, ensures dual encryption and redundant backup of data transmission, enhancing the system's fault tolerance. Even in the event of network instability, the system can maintain reliable data transmission through relay equipment or backup communication paths, ensuring that monitoring data is not interrupted and guaranteeing stable system operation under extreme conditions.

[0116] Accordingly, this embodiment of the invention alleviates data transmission problems in areas with poor signal by introducing relay devices, enabling the system to provide extensive monitoring coverage in complex geographical environments. Since wireless signals are easily attenuated or blocked in mountainous, underground, or densely built-up environments, relay devices can effectively enhance the signal propagation range and ensure that the signal can be transmitted to distant or obstructed areas. This embodiment of the invention improves the system's adaptability and scalability through the use of relay devices, ensuring stable operation whether in urban areas with high-rise buildings or in remote mountainous areas monitoring radiation sources. Furthermore, relay devices can provide backup paths in severe weather or emergencies (such as power outages), ensuring the continuity and stability of data transmission and maximizing real-time communication between the monitoring terminal and the monitoring platform. Simultaneously, the high degree of automation in this embodiment of the invention effectively reduces the need for manual intervention; all data acquisition, transmission, processing, and monitoring tasks are automatically completed by the system. Specifically, through the intelligent early warning system, the monitoring terminal can automatically detect equipment status, monitoring data, and environmental changes. When equipment malfunctions or radiation dose exceeds the standard, the system immediately triggers an alarm and transmits relevant information to a preset monitoring platform via a wireless network for rapid response by relevant personnel. This invention, through its automation mechanism, not only significantly improves work efficiency and avoids human error, but also enables timely response in hazardous situations, reducing the time personnel are exposed to high-risk environments. For example, the battery module monitors battery power in real time, ensuring the system issues an early warning when the battery is low, preventing monitoring terminal failure due to power depletion. Furthermore, the system's remote diagnostic and maintenance functions make equipment management more convenient; operators can remotely view equipment status and fault diagnosis reports through the monitoring platform, further improving maintenance efficiency and reducing on-site operational risks.

[0117] Please see Figure 6 This application also provides a dynamic monitoring system for radioactive sources, which can implement the above-mentioned dynamic monitoring method for radioactive sources. The system includes:

[0118] The first module 210 is used to collect data from a preset radioactive source through a preset sensor module to obtain radioactive source data.

[0119] The second module 220 is used to perform data anomaly analysis based on radioactive source data to obtain early warning data.

[0120] The third module 230 is used to encrypt the radioactive source data to obtain preset encrypted data.

[0121] Module 240 is used to transmit early warning data and preset encrypted data to a preset monitoring platform for preset data management and processing. This preset data management and processing includes data analysis and data reporting.

[0122] It is understood that the content of the above method embodiments is applicable to this system embodiment. The specific functions implemented in this system embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0123] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described dynamic monitoring method for radioactive sources. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0124] It is understood that the content of the above method embodiments is applicable to this device embodiment. The specific functions implemented by this device embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0125] Please see Figure 7 , Figure 7 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes:

[0126] The processor 310 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application.

[0127] The memory 320 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 320 can store the operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 320 and called and executed by the processor 310 to execute the dynamic monitoring method of the radioactive source according to the embodiments of this application.

[0128] Input / output interface 330 is used to realize information input and output;

[0129] The communication interface 340 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0130] Bus 350 transmits information between various components of the device (e.g., processor 310, memory 320, input / output interface 330, and communication interface 340);

[0131] The processor 310, memory 320, input / output interface 330 and communication interface 340 are connected to each other within the device via bus 350.

[0132] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for dynamic monitoring of radioactive sources.

[0133] It is understood that the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0134] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0135] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of this application, and do not constitute a limitation on the technical solutions provided in this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in this application are also applicable to similar technical problems.

[0136] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0137] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; 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.

[0138] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0139] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0140] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0141] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0142] The units described above 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 units can be selected to achieve the purpose of this embodiment according to actual needs.

[0143] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0144] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0145] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A method of dynamic monitoring of a radioactive source, characterized in that, The method comprises the following steps: The method comprises the following steps: The method comprises the following steps: According to the radiation source data, data anomaly analysis is performed to obtain early warning data; The preset encryption data is obtained by encrypting the radiation source data; The early warning data and the preset encryption data are transmitted to the preset monitoring platform for preset data management processing through the preset monitoring platform; wherein, the preset data management processing includes data analysis and data reporting; The radiation source data includes radiation source positioning data and radiation dose data; The early warning data is obtained by performing radiation influence analysis according to the radiation source positioning data when it is determined that the radiation dose data is greater than a preset radiation threshold value; When it is determined that the number of people affected by radiation is greater than a preset number threshold, the early warning data is determined according to the radiation source positioning data and the radiation dose data.

2. The method of claim 1, wherein, After executing the step of determining the early warning data according to the radiation source positioning data and the radiation dose data when it is determined that the number of people affected by radiation is greater than a preset number threshold, the method further comprises: Determine whether the radiation dose data meets the preset warning condition; wherein, the preset warning condition includes that the time when the radiation dose data is greater than the preset radiation threshold value is not in a preset time period, or the radiation dose data is in an incremental state; When it is determined that the radiation dose data meets the preset warning condition, a radiation anomaly signal is generated, and the corresponding radiation area is detected to determine the radiation source information; According to the radiation source information, the corresponding device terminal is closed.

3. The method of claim 1, wherein, The radiation source data also includes power state data; The early warning data is obtained by performing radiation influence analysis according to the radiation source positioning data when it is determined that the radiation dose data is greater than a preset radiation threshold value; When it is determined that the power state data is less than the preset power threshold, a low battery warning is generated. After executing the step of obtaining the radiation source data by collecting data of the preset radiation source through the preset sensor module, the method further comprises:

4. The method of claim 1, wherein, The positioning correction data is obtained by correcting the radiation source positioning data through Kalman filtering algorithm. The preset encryption data is obtained by encrypting the radiation source data through advanced encryption standard algorithm.

5. The method of claim 1, wherein, The early warning data and the preset encryption data are transmitted to the preset monitoring platform, which comprises: The signal propagation intensity data of the early warning data and the preset encryption data is calculated according to the preset path loss algorithm; 6. The method of claim 1, wherein, When it is determined that the signal propagation intensity data is less than a preset intensity threshold, the early warning data and the preset encryption data are transmitted to a preset relay module to be transmitted to the preset monitoring platform through the preset relay module. The system comprises: A first module for collecting data of a preset radiation source through a preset sensor module to obtain radiation source data; 7. A radioactive source dynamic monitoring system, characterized in that, ​ ​ A second module configured to perform data anomaly analysis on the radiation source data to obtain early warning data; A third module configured to encrypt the radiation source data to obtain preset encrypted data; A fourth module configured to transmit the early warning data and the preset encrypted data to a preset monitoring platform to perform preset data management processing on the preset monitoring platform; the preset data management processing includes data analysis and data reporting; The radiation source data includes radiation source positioning data and radiation dose data; The data anomaly analysis on the radiation source data to obtain early warning data includes: when it is determined that the radiation dose data is greater than a preset radiation threshold, performing radiation influence analysis on the radiation source positioning data to obtain a number of people affected by radiation; when it is determined that the number of people affected by radiation is greater than a preset number threshold, determining the early warning data according to the radiation source positioning data and the radiation dose data.

8. An electronic device, comprising: comprise: at least one processor; at least one memory configured to store at least one program; when the at least one program is executed by the at least one processor, the at least one processor implements the method of any one of claims 1-6.

9. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 8. The computer program is executed by the processor to implement the method of any one of claims 1 to 6.

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