Multi-form multi-measuring-point distributed intelligent radiation monitoring and early warning method and system

Abstract

The invention relates to the technical field of radiation early warning, and discloses a multi-form multi-measuring-point distributed intelligent radiation monitoring early warning method and system, and the method comprises the steps: obtaining the type and position of a radiation source in a target region, and selecting different forms of radiation monitoring equipment according to the type and position; carrying out distributed multi-measurement-point deployment on the radiation monitoring equipment in different forms to form a data acquisition network, and obtaining radiation data in the target area in real time based on the data acquisition network; performing risk assessment on the nuclear technology utilization units in the target area according to the hidden danger investigation list database, and generating a risk assessment report; and performing radiation early warning on the target area according to the radiation data and the risk assessment report. According to the invention, the radiation monitoring devices of different forms are used to carry out distributed multi-point monitoring on the target area, and the nuclear technology is combined to carry out nuclear radiation early warning on the target area by using the risk assessment report of the unit, so that the radiation safety supervision efficiency is improved, and the accuracy and reliability of the supervision basis are enhanced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of radiation monitoring, and in particular to a multi-modal multi-measurement-point distributed intelligent radiation monitoring and early warning method and system. BACKGROUND

[0002] The multi-modal multi-measurement-point distributed intelligent radiation monitoring method is a method that has emerged in recent years with the development of technologies such as the Internet of Things, edge computing, and artificial intelligence. It combines multiple sensors, data acquisition and processing units, and communication networks, and can realize real-time monitoring and analysis of multiple physical quantities such as radiation monitoring data, meteorological data, and trajectory data in complex environments.

[0003] Currently, the multi-modal multi-measurement-point distributed intelligent radiation monitoring method has problems such as poor compatibility of heterogeneous devices, insufficient real-time performance and reliability, low standardization, and insufficient user friendliness. In terms of compatibility, different manufacturers' devices use different communication protocols, interface standards, and data formats, resulting in poor interoperability and compatibility between devices. Specifically, devices cannot communicate directly and require additional development of an adaptation layer or gateway; data acquisition and processing methods are not unified, increasing the complexity of system integration. In terms of real-time performance and reliability, in complex network environments, distributed devices may face high latency and high packet loss rates, affecting the real-time performance and reliability of the system. Data transmission delays can result in control commands not being executed in a timely manner; in harsh environments (such as strong electromagnetic interference and high temperature and humidity), devices may malfunction or performance may decline, requiring high-performance hardware and optimized communication protocols, but at a higher cost. SUMMARY

[0004] Therefore, the present application provides a multi-modal multi-measurement-point distributed intelligent radiation monitoring and early warning method and system to solve the problems of poor compatibility of heterogeneous devices, insufficient real-time performance and reliability, low standardization, and insufficient user friendliness.

[0005] In a first aspect, the present application provides a multi-modal multi-measurement-point distributed intelligent radiation monitoring and early warning method, the method comprising:

[0006] acquiring the type and location of the radiation source in the target area, and selecting different modalities of radiation monitoring devices according to the type and location;

[0007] deploying different modalities of radiation monitoring devices in a distributed multi-measurement-point manner to form a data acquisition network, and acquiring radiation data in the target area in real time based on the data acquisition network;

[0008] conducting risk assessment on the nuclear technology utilization unit in the target area according to the hazard investigation list database, and generating a risk assessment report;

[0009] According to the radiation data and the risk assessment report, the target area is warned of radiation.

[0010] The multi-form multi-point distributed intelligent radiation monitoring and warning method provided by the application can improve the radiation safety supervision efficiency, and enhance the accuracy and reliability of the supervision basis.

[0011] In an optional embodiment, different forms of radiation monitoring equipment are distributed and multi-point monitored to form a data acquisition network, including:

[0012] The communication protocols and data formats of the radiation monitoring equipment are unified respectively, and the radiation monitoring equipment respectively acquires different radiation data;

[0013] If the first radiation data is abnormal, the position of the first radiation monitoring equipment collecting the first radiation data is determined;

[0014] Based on the position of the first radiation monitoring equipment, the related radiation monitoring equipment within a preset range from the first radiation monitoring equipment is determined, and the sampling frequency of the related radiation monitoring equipment is increased.

[0015] The multi-form multi-point distributed intelligent radiation monitoring and warning method provided by the application adopts a unified communication protocol and data format, so that the data management platform can identify different data of different equipment, overcome the compatibility problem between intelligent monitoring equipment produced by different manufacturers, realize distributed combination deployment of different monitoring scenes, simplify the communication process between the equipment and the data management platform, ensure that all equipment can seamlessly cooperate, and thus improve the stability and efficiency of the whole system.

[0016] In an optional embodiment, the method further includes:

[0017] If the first radiation data is abnormal, the related monitoring data of the related radiation monitoring equipment is acquired;

[0018] The abnormal radiation point causing the abnormality of the first radiation data is determined by combining the first radiation data and the related monitoring data.

[0019] The multi-form multi-point distributed intelligent radiation monitoring and warning method provided by the application can more accurately locate the abnormal radiation point by comprehensively analyzing the abnormal data and the related monitoring data, accurately find the radiation source, provide data basis for the supervision department, and facilitate to solve the radiation problem.

[0020] In an optional embodiment, the radiation data in the target area is acquired in real time based on the data acquisition network, including:

[0021] acquire the radiation data actively reported by each radiation monitoring device, the radiation data being real-time radiation intensity information collected by each radiation monitoring device through a built-in sensor;

[0022] acquire a time point at which the last normal acquisition of radiation data was performed, and calculate a duration of time during which radiation data cannot be acquired since the time point to the current time;

[0023] if the duration of time is greater than a first preset threshold, determine the unreported radiation data stored by the corresponding radiation monitoring device, and acquire the unreported radiation data stored by the corresponding radiation monitoring device;

[0024] if the duration of time is greater than a second preset threshold, control the corresponding radiation monitoring device to reduce the data reporting frequency.

[0025] In an optional embodiment, acquiring the unreported radiation data stored by the corresponding radiation monitoring device comprises:

[0026] if the capacity occupied by the unreported radiation data is not greater than a preset cache capacity, acquiring the complete unreported radiation data;

[0027] if the capacity occupied by the unreported radiation data is greater than the preset cache capacity, selecting the unreported radiation data with the latest storage time and the preset cache capacity according to the storage time of the unreported radiation data.

[0028] The multi-form multi-measurement-point distributed intelligent radiation monitoring and early warning method provided by the application acquires radiation data in the form of active reporting by radiation monitoring devices, combines real-time data transmission with breakpoint continuation, ensures the real-time and effectiveness of data, adjusts the data reporting frequency in a timely manner when data is lost, reduces unnecessary transmission, and reduces the power consumption of the radiation monitoring device.

[0029] In an optional embodiment, according to the hidden danger investigation list database, a risk assessment of a nuclear technology utilization unit in a target area is performed to generate a risk assessment report, comprising:

[0030] acquiring investigation data of the nuclear technology utilization unit in the target area, and scoring the nuclear technology utilization unit in combination with the investigation list items in the hidden danger investigation list database;

[0031] determining a non-compliance item ratio according to the scoring result, and determining a safety level of the nuclear technology utilization unit based on the non-compliance item ratio and a preset limit condition;

[0032] generating a risk assessment report of the nuclear technology utilization unit based on the scoring result, the non-compliance item ratio, and the safety level.

[0033] The multi-form multi-point distributed intelligent radiation monitoring and early warning method provided by the application carries out risk assessment on each nuclear technology utilization unit by using a hidden danger investigation list database, realizes an integrated process from radiation data collection to analysis and early warning, ensures that each link of radiation monitoring meets the standard requirements stipulated by the state, and makes an important contribution to public health and social stability.

[0034] In an alternative embodiment, the method further comprises:

[0035] extracting the radiation dose values of each measuring point from the radiation data in the target area;

[0036] carrying out dose field visualization of the target area according to the positions and radiation measurement values of each measuring point to obtain a dose field visualization rendering image;

[0037] generating a risk assessment report of the nuclear technology utilization unit based on the score results, the non-compliance item ratio, the safety level, and the dose field visualization rendering image.

[0038] The multi-form multi-point distributed intelligent radiation monitoring and early warning method provided by the application directly presents the spatial distribution, intensity change and dynamic trend of the radiation dose through graphical means, directly presents complex data, assists understanding of the radiation data, quickly locates the source of the problem, and improves decision-making efficiency.

[0039] In a second aspect, the application provides a multi-form multi-point distributed intelligent radiation monitoring and early warning system, which comprises a monitoring and early warning integrated platform, a communication module, and a plurality of radiation monitoring devices, wherein,

[0040] The monitoring and early warning integrated platform is used to execute the multi-form multi-point distributed intelligent radiation monitoring and early warning method of any one of the first aspect.

[0041] The communication module is used to support wireless communication between the monitoring and early warning integrated platform and each radiation monitoring device.

[0042] The radiation monitoring device comprises a controller, a memory and a sensor, the sensor is used to collect radiation data, the memory is used to store the radiation data, and the controller is used to report the radiation data to the monitoring and early warning integrated platform.

[0043] In a third aspect, the application provides a computer device, which comprises a memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method of the first aspect or any one of the corresponding embodiments thereof by executing the computer instructions.

[0044] In a fourth aspect, the present application provides a computer readable storage medium, having stored thereon computer instructions for causing a computer to execute the method of the first aspect or any of the corresponding embodiments thereof. BRIEF DESCRIPTION OF DRAWINGS

[0045] In order to more clearly illustrate the specific embodiments or prior art technical solutions of the present application, the drawings required to be used in the specific embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings described below are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0046] Figure 1 is a flowchart of a multi-form multi-point distributed intelligent radiation monitoring and early warning method according to an embodiment of the present application;

[0047] Figure 2 is a flowchart of another multi-form multi-point distributed intelligent radiation monitoring and early warning method according to an embodiment of the present application;

[0048] Figure 3 is a schematic diagram of the connection relationship between each radiation monitoring device and the management platform in the multi-form multi-point distributed intelligent radiation monitoring and early warning method according to an embodiment of the present application;

[0049] Figure 4 is a specific process diagram of data breakpoint continuation in the multi-form multi-point distributed intelligent radiation monitoring and early warning method according to an embodiment of the present application;

[0050] Figure 5 is a structural diagram of a multi-form multi-point distributed intelligent radiation monitoring and early warning system according to an embodiment of the present application;

[0051] Figure 6 is a hardware structure diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme of the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0053] The embodiment of the present application provides a multi-form multi-measuring-point distributed intelligent radiation monitoring and early warning method, radiation data are acquired through multi-form multi-measuring-point distributed deployment of radiation monitoring equipment, and a target area is subjected to radiation early warning in combination with a risk assessment report, so that the radiation safety supervision efficiency is improved, and the accuracy and reliability of supervision basis are enhanced.

[0054] According to the embodiment of the present application, a multi-form multi-measuring-point distributed intelligent radiation monitoring and early warning method is provided, and it should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a group of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that here.

[0055] In the present embodiment, a multi-form multi-measuring-point distributed intelligent radiation monitoring and early warning method is provided, which can be used in the computer system described above, Figure 1 The flowchart of the multi-form multi-measuring-point distributed intelligent radiation monitoring and early warning method according to the embodiment of the present application is shown in FIG. 1, and the flowchart includes the following steps: Figure 1

[0056] In step S101, the type and position of the radiation source in the target area are acquired, and different forms of radiation monitoring equipment are selected according to the type and position.

[0057] ​Specifically, there can be multiple nuclear technology utilization units in the target area, and the types and locations of radiation sources of each nuclear technology utilization unit can be different. In this embodiment, different forms of radiation monitoring devices are selected according to the types and locations of the radiation sources. According to the application scenario, the radiation monitoring devices include but are not limited to portable, fixed, unmanned aerial vehicle-mounted, etc. For the scene where personnel can reach, portable devices are equipped, which are small in size and light in weight, convenient for operators to carry, suitable for on-site rapid response and temporary monitoring tasks, and can provide accurate measurement results in a short time, suitable for preliminary assessment in emergency or emergency situations; for the scene of fixed-point monitoring, fixed devices are equipped, focusing on the accuracy and stability of monitoring, usually installed in key positions such as around nuclear power plants and near radioactive waste storage facilities, for long-term continuous monitoring, which can provide stable and reliable real-time data flow, and is the basis for building a comprehensive monitoring network; for the scene where land transportation facilities are difficult to reach, unmanned aerial vehicle-mounted devices are equipped, focusing on the rapidness and timeliness of monitoring, using the mobility and flexibility of unmanned aerial vehicles, which can perform monitoring tasks in difficult-to-reach areas (such as mountainous areas, forests, offshore platforms), and can be quickly deployed to cover a large area and are not limited by terrain, greatly expanding the monitoring range. According to the radiation type, the radiation monitoring devices include but are not limited to alpha-ray monitoring devices, beta-ray monitoring devices, gamma / X-ray monitoring devices, etc., which are only examples and are not limited thereto. The multi-form radiation monitoring devices can perform multi-level and multi-angle monitoring on a specific area to ensure the comprehensiveness and accuracy of the data.

[0058] In step S102, different forms of radiation monitoring devices are deployed in a distributed multi-measuring-point manner to form a data acquisition network, and radiation data in the target area is acquired in real time based on the data acquisition network.

[0059] Specifically, according to the radiation sources of each nuclear technology utilization unit, the measuring point positions and radiation monitoring types are determined, and the radiation monitoring devices are installed and deployed to the corresponding measuring points according to the radiation monitoring types, realizing the distributed multi-measuring-point deployment of the radiation monitoring devices, and the radiation monitoring devices in each measuring point form a data acquisition network. The radiation monitoring devices are used to collect radiation monitoring data, reflecting key information of the radiation environment, device operating state or biological body exposure. When statistical radiation monitoring data is collected, auxiliary parameters such as meteorological data, device state, metadata, etc. are usually included. The selection of auxiliary parameters is realized by selecting corresponding parameter acquisition devices, which can be combined with the use method of the acquisition device. Here, no further description is given.

[0060] The radiation data includes radiation monitoring data collected by the radiation monitoring devices and auxiliary parameters collected by the parameter acquisition devices, and the radiation data in the target area is acquired in real time based on the data acquisition network.

[0061] Step S103, according to the hidden danger investigation list database, the risk of nuclear technology utilization units in the target area is evaluated, and the risk evaluation report is generated.

[0062] Specifically, taking nuclear technology supervision and inspection as an example, according to the relevant national standards, the hidden danger investigation list database of the supervision and inspection technical procedures of multiple industry types is established, combined with the collected information of nuclear technology utilization units, the inspectors score according to the hidden danger investigation list items in the hidden danger investigation list, and the risk evaluation report of each nuclear technology utilization unit is generated according to the scoring results.

[0063] For example, for the target nuclear technology utilization unit, the inspection elements and items are automatically matched from the hidden danger investigation list database according to the industry type, and a customized hidden danger investigation list is formed. The inspectors investigate on the spot, record the basic information of the target nuclear technology utilization unit such as the name, license and qualification, nuclear technology related equipment, radiation monitoring equipment, etc., and combined with the basic information, score item by item according to the hidden danger investigation list items, "comply" counts 0 points, "not comply" counts corresponding weight points, "to be verified" does not count points (need to be supplemented with evidence later), for example: a certain industrial flaw detection enterprise "loss of radioactive source emergency plan missing" (weight 8 points), this item counts 8 points to determine the inspection project score, which is only an example, but not limited to this.

[0064] Step S104, according to the radiation data and the risk evaluation report, the radiation early warning of the target area is carried out.

[0065] Specifically, combined with the actual situation, the risk levels corresponding to different radiation data and risk evaluation reports are classified, and different risk levels correspond to different levels of emergency response. For example, for a particularly serious warning, a level I emergency response is started, a field command department is established, and experts are consulted; personnel within a radius of 5 kilometers are evacuated urgently, a warning isolation belt is set up, and irrelevant personnel are prohibited from entering. The unmanned aerial vehicle group is started to dynamically monitor the dose field, and the diffusion prediction is updated every 10 minutes; the mobile lead shielding vehicle is called to store the out-of-control radioactive source, and the professional personnel wear full-body protective equipment (such as chemical protective clothing + respiratory protection) to perform the operation. Key information such as pollution range, affected population, rescue measures, etc. is reported through a press conference every hour.

[0066] For serious warning response, level II emergency response is started, public within 2 kilometers is notified to reduce going out and wear masks (to prevent β ray contamination); environmental protection department carries out water quality, soil emergency monitoring, and reports data every 4 hours. The enterprise stops production for rectification, and the supervision department supervises the elimination of hidden dangers on site (such as repairing the safety interlock device of flaw detection equipment); the meteorological department increases the observation of meteorological observation, and updates the diffusion prediction model parameters every hour. Different risk levels and corresponding emergency responses are only used as examples for illustration, but not limited to this.

[0067] The multi-form, multi-point distributed intelligent radiation monitoring and early warning method provided in this embodiment utilizes radiation monitoring equipment of different forms to perform distributed multi-point monitoring of the target area, and combines the target area's nuclear technology with the unit's risk assessment report to provide nuclear radiation early warning for the target area, thereby improving the efficiency of radiation safety supervision and enhancing the accuracy and reliability of the supervision basis.

[0068] In this embodiment, a multi-mode, multi-point distributed intelligent radiation monitoring and early warning method is provided, which can be used in the above-mentioned computer system. Figure 2 Flowchart of a multi-form multi-point distributed intelligent radiation monitoring and early warning method according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0069] Step S201: Obtain the type and location of the radiation source in the target area, and select different types of radiation monitoring equipment according to the type and location. Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0070] In step S202 , radiation monitoring equipment of different forms are distributed and deployed at multiple measuring points to form a data acquisition network, and radiation data in the target area is acquired in real time based on the data acquisition network.

[0071] Specifically, in step S202, radiation monitoring equipment of different types is distributed and deployed at multiple measurement points to form a data collection network, including:

[0072] Step S2021 : Unify the communication protocols and data formats of the radiation monitoring devices, and control the radiation monitoring devices to obtain different radiation data.

[0073] Specifically, each radiation monitoring device uses the Message Queuing Telemetry Transport (MQTT) protocol, which is compatible with wireless transmission methods such as 4G / 5G and NB-IoT, unifies communication protocols, interface standards, and data formats, and uses a publishing method to enable the radiation monitoring device to upload the collected radiation data to the management platform, such as Figure 3 As shown, all radiation monitoring devices are IoT terminals connected to the cloud via wireless communication. The cloud manages the communication content of each device through topics and is responsible for forwarding messages between devices. This overcomes the compatibility issues that exist between radiation monitoring devices produced by different manufacturers, simplifies the communication process between radiation monitoring devices and the management platform, and improves the stability and efficiency of radiation monitoring.

[0074] Each radiation monitoring device includes a sensor, a controller, and a memory. The controller receives a data collection instruction, controls the sensor to collect corresponding radiation data, and stores the radiation data in the memory for transmission at a preset transmission period.

[0075] The radiation monitoring devices work independently. In the event of network interruption or other abnormal conditions, the radiation monitoring devices at each measuring point can continuously collect data and automatically upload to the management platform when the network is restored or the abnormality is eliminated, thereby enhancing the fault tolerance and emergency response capabilities of the radiation monitoring system.

[0076] In step S2022, if the first radiation data is abnormal, the position of the first radiation monitoring device that collects the first radiation data is determined.

[0077] In step S2023, based on the position of the first radiation monitoring device, related radiation monitoring devices within a preset range from the first radiation monitoring device are determined, and the sampling frequency of the related radiation monitoring devices is increased.

[0078] Specifically, the radiation monitoring device stores the specific information of the real-time radiation monitoring data in the storage module of the device while transmitting the data, thereby achieving data backup. The radiation data stored in the memory is divided into blocks, and the successfully transmitted data is marked. Each time of transmission starts from the unmarked data. The data storage adopts a queue storage mechanism, and the recording storage module can record the maximum and latest data amount.

[0079] For the radiation monitoring data collected by each radiation monitoring device, the management platform determines the normal range of the radiation monitoring data according to the type of the radiation monitoring data. If the first radiation data obtained by the first radiation monitoring device exceeds the corresponding normal range, it indicates that the first radiation data is abnormal. The positions of the radiation monitoring devices can be stored as basic information in the management platform.

[0080] In addition to working independently, the radiation monitoring devices at each measuring point can also cooperate with each other, share information, and coordinate work. For example, when a radiation monitoring device in a target area detects abnormal radiation level, other radiation monitoring devices within a preset range nearby will automatically increase the sampling frequency or the monitoring density (the spatial distribution density of radiation monitoring devices or monitoring points). After the management platform receives the radiation data uploaded by each radiation monitoring device, it analyzes and calculates in combination with the positions of the radiation monitoring devices, thereby more accurately locating the abnormal radiation point. The distributed multi-measuring point deployment not only realizes omnidirectional coverage, but also dynamically adapts to environmental changes, meets the needs of different types of monitoring tasks, and jointly builds an efficient and flexible monitoring system.

[0081] The multi-form multi-measurement-point distributed intelligent radiation monitoring and early warning method provided by the embodiment adopts a unified communication protocol and data format, so that the data management platform can identify different data of different devices, overcomes compatibility problems between intelligent monitoring devices produced by different manufacturers, realizes distributed combination deployment of different monitoring scenes, simplifies the communication process between the device and the data management platform, ensures seamless cooperation of all devices, and thus improves the stability and efficiency of the entire system.

[0082] In some optional embodiments, if the first radiation data is abnormal, related monitoring data of a related radiation monitoring device is acquired. In combination with the first radiation data and the related monitoring data, an abnormal radiation point causing the abnormal first radiation data is determined.

[0083] The multi-form multi-measurement-point distributed intelligent radiation monitoring and early warning method provided by the embodiment can more accurately locate the abnormal radiation point by comprehensively analyzing the abnormal data and the related monitoring data, accurately find the radiation source, provide data basis for the regulatory department, and facilitate targeted solution of the radiation problem.

[0084] Specifically, the real-time acquisition of the radiation data in the target region based on the data acquisition network in the above step S202 includes:

[0085] In step S2024, radiation data actively reported by each radiation monitoring device is acquired, and the radiation data is real-time radiation intensity information collected by each radiation monitoring device through a built-in sensor.

[0086] In step S2025, a time point at which the radiation data is last normally acquired is acquired, and a duration during which the radiation data cannot be acquired from the time point to a current time is calculated.

[0087] In step S2026, if the duration is greater than a first preset threshold, unreported radiation data stored by the corresponding radiation monitoring device is determined, and the unreported radiation data stored by the corresponding radiation monitoring device is acquired.

[0088] Specifically, the management platform can acquire the radiation data actively reported by each radiation monitoring device in real time. Under a normal communication condition, the management platform can successfully acquire complete radiation data. If an abnormality such as network failure or radiation monitoring device failure occurs, the radiation data collected by the radiation monitoring device may be temporarily stored in the memory of the radiation monitoring device, and when the abnormality is eliminated, the data breakpoint continuation mode is used to continue to transmit the unreported data.

[0089] It should be noted that the first preset threshold is the normal time interval of adjacent two times of acquiring radiation data in normal data transmission, when the duration that cannot acquire radiation data from the time point of last normal acquisition of radiation data to the current time is greater than the first preset threshold, it indicates that the data transmission process is abnormal, the device signal is lost, at this time, the abnormal duration (device signal loss time) needs to be determined according to the abnormal duration (device signal loss time).

[0090] In some optional embodiments, the step S2026 of acquiring the unreported radiation data stored by the corresponding radiation monitoring device comprises:

[0091] In step a1, if the capacity occupied by the unreported radiation data is not greater than the preset cache capacity, the complete unreported radiation data is acquired.

[0092] In step a2, if the capacity occupied by the unreported radiation data is greater than the preset cache capacity, the unreported radiation data with the latest storage time in the preset cache capacity is selected.

[0093] Specifically, the specific process diagram of the data breakpoint continuation is as shown in Figure 4 If the capacity occupied by the unreported data is not greater than the preset cache capacity of the management platform, the radiation monitoring device directly reports all the unreported radiation data to the management platform, and continues to transmit all the unreported (unmarked) data in the memory of the radiation monitoring device.

[0094] When the capacity occupied by the unreported radiation data is greater than the preset cache capacity, the old data outside the preset cache capacity is discarded, and the maximum and latest radiation data that can be recorded in the cache is uploaded.

[0095] In step S2027, if the duration is greater than the second preset threshold, the data reporting frequency of the corresponding radiation monitoring device is reduced.

[0096] Specifically, generally, the second preset threshold is greater than the first preset threshold, and the second preset threshold can be 30 minutes. When the device signal loss time (the duration that cannot acquire radiation data after the last normal acquisition of radiation data) exceeds 30 minutes, the data storage frequency of the radiation monitoring device is automatically reduced, and after the device signal is restored, the data storage frequency is automatically restored to the frequency before the device signal loss.

[0097] The multi-form multi-measurement-point distributed intelligent radiation monitoring and early warning method provided in the embodiment acquires radiation data in the form of active reporting of the radiation monitoring device, combines real-time data transmission with breakpoint continuation, ensures the real-time and effectiveness of the data, adjusts the data reporting frequency in time when the data is lost, reduces unnecessary transmission, and reduces the power consumption of the radiation monitoring device.

[0098] Step S203, according to the hidden danger investigation list database, risk assessment is performed on the nuclear technology utilization unit in the target area, and a risk assessment report is generated.

[0099] Specifically, the above step S203 includes:

[0100] Step S2031, the investigation data of the nuclear technology utilization unit in the target area is obtained, and the nuclear technology utilization unit is scored in combination with the investigation list items in the hidden danger investigation list database.

[0101] Specifically, the inspector conducts on-site investigation, records the basic information of the target nuclear technology utilization unit such as the name, license and qualification, nuclear technology related equipment, radiation monitoring equipment, etc., and combines the basic information, according to the hidden danger investigation list items, compares the evaluation content and evaluation standard of each item to perform on-site verification, judges whether it meets the requirements and quantifies the score, wherein each item of the key item is three points, and each item of the non-key item is one point, according to the on-site verification result, the non-compliance item ratio of each item is calculated according to the following formula: non-compliance item ratio = 1-real score value / should score value x 100%. Finally, the final score of the nuclear technology utilization unit is calculated by summing the weight of each evaluation content.

[0102] Step S2032, according to the scoring result, the non-compliance item ratio is determined, and based on the non-compliance item ratio and the preset limit condition, the safety level of the nuclear technology utilization unit is determined.

[0103] Specifically, according to the final score of the nuclear technology utilization unit, the overall non-compliance item ratio of the nuclear technology utilization unit is determined, and the safety level is divided according to the following standard.

[0104] Excellent (green zone) - non-compliance item ratio < 2%;

[0105] Qualified (white zone) - 4% < non-compliance item ratio ≤ 2%;

[0106] Warning (yellow zone) - 6% < non-compliance item ratio ≤ 4%;

[0107] Danger (red zone) - non-compliance item ratio > 6%.

[0108] In addition to the basic standard, the safety level of the nuclear technology utilization unit also needs to be determined in combination with the actual situation, which specifically includes:

[0109] (1) If there is one non-compliance key item in "Operation and maintenance of radiation safety protection facilities", it cannot be judged as "excellent" level;

[0110] (2) If there are two non-compliance key items, it cannot be judged as "qualified" and above level;

[0111] (3) If there are three non-compliant key items, it will be directly judged as "dangerous" level;

[0112] (4) If the on-site verification / inspection finds that the inspected unit has violated laws and regulations and should be subject to corresponding administrative penalties or ordered to correct (or correct within a time limit) the illegal behavior, it will be directly judged as "dangerous" level;

[0113] (5) The security level should be dynamically evaluated and adjusted.

[0114] Step S2033: Generate a risk assessment report for the nuclear technology utilization unit based on the scoring results, the ratio of non-compliant items, and the safety level.

[0115] Specifically, a risk assessment report for the nuclear technology utilization unit is generated based on its basic information, scoring results, non-compliant project ratio and safety level.

[0116] For example, for the quantitative assessment of radiation safety of γ irradiation devices, it is necessary to regularly review whether the implementation of various regulations complies with the relevant laws and regulations to ensure that all activities are carried out within the legal framework; the operation and maintenance status of radiation safety protection facilities, detailed inspection of the functional status of the protection facilities, to ensure that they are always in the best working condition and effectively prevent radiation leakage; radiation safety management measures, from personnel training, emergency plan formulation to daily management processes and other levels, comprehensive assessment to ensure that each link has clear responsible persons and operating specifications.

[0117] Based on the basic information and scoring of the units collected in the early stage, a corresponding risk assessment report is generated, listing the specific details of the system scoring and manual scoring. Inspectors can make final modifications to the results of each item in the risk assessment report based on the actual situation.

[0118] The multi-modal and multi-point distributed intelligent radiation monitoring and early warning method provided by the present embodiment utilizes a hidden danger investigation list database to conduct risk assessments on various nuclear technology utilization units, thereby realizing an integrated process from radiation data collection to analysis and early warning, ensuring that each link of radiation monitoring complies with the national standards and requirements, and making important contributions to safeguarding public health and social stability.

[0119] In some optional embodiments, the method further comprises:

[0120] Step b1: extracting the radiation dose value of each measuring point from the radiation data in the target area.

[0121] Specifically, it connects to all radiation monitoring devices (such as fixed monitors, portable dosimeters, and personal dose alarms) within the target area to acquire radiation data in real time or batches. The radiation data is then analyzed for unique device identifiers, measurement point locations, radiation dose values, and timestamps.

[0122] The radiation dose value needs to be within the range of the device (e.g. 0-1000 μSv / h, dynamically adjusted according to the device model), otherwise it is marked as "out-of-range data"; the timestamp deviation from the system time needs to be ≤10 minutes, otherwise it is considered as "clock abnormal data"; if the same measurement point has three consecutive data that are exactly the same and non-zero, it triggers a "data stagnation warning" and removes the duplicate values.

[0123] The filtered effective data is grouped by measurement point ID, and the maximum value, average value and cumulative value of each measurement point in the statistical period (e.g. daily / inspection period) are extracted.

[0124] Step b2, according to the position of each measurement point and the radiation measurement value, the dose field visualization of the target area is carried out, and the dose field visualization rendering map is obtained.

[0125] Specifically, according to the range of the target area, the geographical space is divided into regular grids (e.g. 10m×10m grid), and the grid accuracy can be dynamically adjusted according to the monitoring density (5m×5m for high-density areas). Each grid is assigned a unique identifier and the coordinate range is marked.

[0126] Kriging interpolation method or inverse distance weighting method is used to calculate the dose estimation value at the grid node based on the dose value of the discrete measurement points.

[0127] The interpolation results are smoothed to eliminate the "jagged effect" caused by uneven distribution of monitoring points.

[0128] The dose value is mapped using a hierarchical color scale, such as:

[0129] Green (0-0.25 μSv / h): normal background level;

[0130] Yellow (0.25-1 μSv / h): slightly high, need attention;

[0131] Orange (1-5 μSv / h): moderate abnormality, start inspection;

[0132] Red (>5 μSv / h): high risk, alarm immediately.

[0133] Superimpose the geographical base map (e.g. plant building layout, road, sensitive target position), mark the specific position and dose value of the grid that exceeds the standard (e.g. pop-up window shows grid_id: G012, current dose: 1.8 μSv / h). Support dynamic time axis switching, show the dose field evolution animation of different time periods (e.g. past 24 hours, quarterly average). Generate an interactive dose field rendering map, including over-standard area labeling, dose gradient color block and spatial distribution trend analysis.

[0134] Step b3, generating a risk assessment report of the nuclear technology utilization unit based on the score result, the non-compliance item ratio, the safety level, and the dose field visualization rendering map.

[0135] Specifically, if the dose field visualization rendering map is used for analysis, the score result, the non-compliance item ratio, the safety level, the dose field visualization rendering map, and the risk assessment result based on the above contents are included in the risk assessment report, just as an example, but not limited thereto.

[0136] The multi-form multi-measurement-point distributed intelligent radiation monitoring and early warning method provided in the embodiment can intuitively present the spatial distribution, intensity change and dynamic trend of the radiation dose through graphical means, intuitively present complex data, assist understanding of the radiation data, quickly locate the problem source, and improve decision efficiency.

[0137] Step S204, performing radiation early warning on the target area according to the radiation data and the risk assessment report. For details, please refer to Figure 1 The step S101 of the embodiment shown will not be repeated here.

[0138] The multi-form multi-measurement-point distributed intelligent radiation monitoring and early warning method provided in the embodiment can perform distributed multi-measurement-point monitoring on the target area by using different forms of radiation monitoring equipment, and perform nuclear radiation early warning on the target area in combination with the risk assessment report of the nuclear technology utilization unit in the target area, which is beneficial to improve the radiation safety supervision efficiency and enhance the accuracy and reliability of the supervision basis.

[0139] In the embodiment, a multi-form multi-measurement-point distributed intelligent radiation monitoring and early warning system is also provided, which is used to implement the above embodiments and preferred embodiments, and has been described above. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the system described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware is also possible and contemplated.

[0140] The embodiment provides a multi-form multi-measurement-point distributed intelligent radiation monitoring and early warning system, as shown in Figure 5 The system includes a monitoring and early warning integrated platform, a communication module, and a plurality of radiation monitoring equipment.

[0141] The monitoring and early warning integrated platform is used to execute the multi-form multi-measurement-point distributed intelligent radiation monitoring and early warning method of any one of the previous embodiments.

[0142] The communication module is used to support wireless communication between the monitoring and early warning integrated platform and each radiation monitoring equipment.

[0143] Radiation monitoring equipment includes a controller, a memory and a sensor. The sensor is used to collect radiation data, the memory is used to store radiation data, and the controller is used to report radiation data to the integrated monitoring and early warning platform.

[0144] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0145] The embodiment of the present invention also provides a computer device having the above Figure 5 The multi-form, multi-point distributed intelligent radiation monitoring and early warning system shown.

[0146] See also Figure 6 , Figure 6 is a structural diagram of a computer device provided by an optional embodiment of the present invention, such as Figure 6 As shown, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components utilize different buses to communicate with each other and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in the memory or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Equally, multiple computer devices can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 6 A processor 10 is taken as an example.

[0147] The processor 10 may be a central processing unit, a network processor, or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.

[0148] The memory 20 stores instructions that can be executed by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0149] The memory 20 can include a program storage area and a data storage area. The program storage area can store an operating system, application programs required for at least one function, and the like. The data storage area can store data created according to usage of the computer device, and the like. In addition, the memory 20 can include a high-speed random access memory, and can further include a non-transitory memory such as at least one of a magnetic disk storage device, a flash memory device, or other non-transitory solid state memory device. In some alternative embodiments, the memory 20 can optionally include a memory disposed remotely from the processor 10, which can be connected to the computer device through a network. Examples of the network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0150] The memory 20 can include a volatile memory such as a random access memory, and can further include a non-volatile memory such as a flash memory, a hard disk, or a solid state disk, and a combination thereof.

[0151] The computer device further includes a communication interface 30 for communication of the computer device with other devices or communication networks.

[0152] The embodiments of the present application also provide a computer readable storage medium. The above-described method according to the embodiments of the present application can be implemented in hardware, firmware, or as computer code recorded on a storage medium, or be stored in a remote storage medium or a non-transitory machine readable storage medium and downloaded to a local storage medium through a network, and thus the method described herein can be processed by such software using a general purpose computer, a special purpose processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid state disk, and the like. Further, the storage medium can include a combination of the above-mentioned storage media. It can be understood that the computer, the processor, the microprocessor controller, or the programmable hardware includes a storage component that can store or receive software or computer code, which, when accessed and executed by the computer, the processor, or the hardware, implements the method illustrated in the above-described embodiments.

[0153] Although the embodiments of the present application have been described with reference to the accompanying drawings, various modifications and changes can be suggested to one skilled in the art, and it is intended that the present application encompass such modifications and changes as fall within the scope of the appended claims.

Claims

1. A multi-modal and multi-point distributed intelligent radiation monitoring and early warning method, characterized in that: The method comprises: Obtaining the type and location of radiation sources within the target area, and selecting different types of radiation monitoring equipment based on the type and location; Deploy the radiation monitoring equipment of different forms in a distributed manner at multiple measurement points to form a data acquisition network, and acquire radiation data in a target area in real time based on the data acquisition network; Conduct risk assessments on nuclear technology utilization units in the target area based on the hidden danger investigation list database and generate risk assessment reports; A radiation warning is issued to the target area based on the radiation data and risk assessment report.

2. The method according to claim 1, characterized in that The radiation monitoring equipment of different forms is distributed and deployed at multiple measuring points to form a data collection network, including: Unify the communication protocols and data formats of each radiation monitoring device, and control each radiation monitoring device to obtain different radiation data; If the first radiation data is abnormal, determining a location of a first radiation monitoring device that collected the first radiation data; Based on the position of the first radiation monitoring device, related radiation monitoring devices within a preset range from the first radiation monitoring device are determined, and a sampling frequency of the related radiation monitoring devices is increased.

3. The method according to claim 2, characterized in that The method further comprises: If the first radiation data is abnormal, obtaining relevant monitoring data of relevant radiation monitoring equipment; The first radiation data and the relevant monitoring data are combined to determine the abnormal radiation point causing the first radiation data to be abnormal.

4. The method according to claim 2, characterized in that Acquiring radiation data in a target area in real time based on the data acquisition network includes: Acquire radiation data proactively reported by each radiation monitoring device, wherein the radiation data is real-time radiation intensity information collected by each radiation monitoring device through a built-in sensor; Obtain the time point at which the radiation data was last obtained normally, and calculate the duration from the time point to the current moment when the radiation data could not be obtained; If the duration is greater than a first preset threshold, determining unreported radiation data stored in the corresponding radiation monitoring device, and obtaining the unreported radiation data stored in the corresponding radiation monitoring device; If the duration is greater than a second preset threshold, the corresponding radiation monitoring device is controlled to reduce the data reporting frequency.

5. The method according to claim 4, characterized in that Obtain unreported radiation data stored by the corresponding radiation monitoring equipment, including: If the capacity occupied by the unreported radiation data is not greater than the preset cache capacity, then the complete unreported radiation data is obtained; If the capacity occupied by the unreported radiation data is greater than the preset cache capacity, the unreported radiation data with the preset cache capacity and the latest storage time is selected according to the storage time of the unreported radiation data.

6. The method according to claim 1, characterized in that Based on the hidden danger checklist database, conduct a risk assessment of nuclear technology utilization units in the target area and generate a risk assessment report, including: Obtain inspection data of nuclear technology utilization units in the target area and score the nuclear technology utilization units based on the inspection checklist items in the hidden danger inspection checklist database; Determine the non-compliant item ratio based on the scoring results, and determine the safety level of the nuclear technology utilization unit based on the non-compliant item ratio and pre-set limiting conditions; A risk assessment report for the nuclear technology utilization unit is generated based on the scoring results, the non-compliant item ratio and the safety level.

7. The method according to claim 6, characterized in that The method further comprises: Extract the radiation dose value of each measuring point from the radiation data in the target area; The dose field of the target area is visualized according to the position of each measuring point and the radiation measurement value, and a dose field visualization rendering is obtained; A risk assessment report for the nuclear technology utilization unit is generated based on the scoring results, non-compliant item ratio, safety level, and dose field visualization rendering.

8. A multi-mode, multi-point distributed intelligent radiation monitoring and early warning system, characterized in that: The system includes: an integrated monitoring and early warning platform, a communication module, and multiple radiation monitoring devices, among which: An integrated monitoring and early warning platform for executing the multi-modal, multi-point distributed intelligent radiation monitoring and early warning method according to any one of claims 1 to 7; A communication module is used to support wireless communication between the integrated monitoring and early warning platform and various radiation monitoring devices; The radiation monitoring device includes a controller, a memory and a sensor, wherein the sensor is used to collect radiation data, the memory is used to store the radiation data, and the controller is used to report the radiation data to the integrated monitoring and early warning platform.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method according to any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 7.

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