CN110210739A - A kind of nuclear radiation detection method and system based on artificial intelligence - Google Patents

A kind of nuclear radiation detection method and system based on artificial intelligence Download PDF

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CN110210739A
CN110210739A CN201910428785.5A CN201910428785A CN110210739A CN 110210739 A CN110210739 A CN 110210739A CN 201910428785 A CN201910428785 A CN 201910428785A CN 110210739 A CN110210739 A CN 110210739A
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周贤伟
周成成
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Hebei Yuhe Technology Co ltd
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Ryan Friend Data Technology Nanjing Co Ltd
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Abstract

Embodiment of the invention discloses a kind of nuclear radiation detection method and system based on artificial intelligence, the method includes carrying out radiological measuring to each sensing point by least one nuclear radiation detector, generate radiation image data and corresponding GPS geodata, survey meter carries out preliminary risk assessment and early warning according to the radiation image data, while data are uploaded to cloud big data processing module by Internet of Things in real time;Cloud big data processing module carries out precise classification identification to the radiation image data using preparatory trained radiation image detection model, and the radiation image data identified and corresponding GPS geodata are synthesized, then risk rating is carried out, risk rating information is sent to risk information receiving module and nuclear radiation detector;The risk rating information received is passed to monitoring personnel by risk information receiving module, protects prediction scheme accordingly automatically by Risk-warning unit starting when not receiving by monitoring personnel or monitoring personnel's instruction.

Description

A kind of nuclear radiation detection method and system based on artificial intelligence
Technical field
The present invention relates to nuclear radiation detection field more particularly to a kind of nuclear radiation detection method based on artificial intelligence and it is System.
Background technique
With the development of science and technology, people for core using more and more extensive, other than for laboratory research, in work The fields such as industry, the energy and medical treatment also play key player.Nuclear technology is widely used in industrial processes and detection, and Nuclear receptor co repressor instrument is put The treatment of penetrating property has been popularized in medical industry, and the construction of nuclear power station is like a raging fire.While core comes into people's life, core spoke The threat for life and health is penetrated also to increasingly sharpen.
Nuclear radiation detection is a kind of technology for protection people life and health that adjoint kernel application is risen, which passes through detection Radioactive level near radioactive source carries out degree of danger differentiation according to many years nuclear radiation protection experience.
But there are many disadvantages for existing nuclear radiation detection technique: first is that can only be according to the level of protection being previously set Carry out risk differentiation, it is difficult to handle complicated radiation position;Second is that the initial data monitored is difficult to reflect the true of complexity Situation, and it is very high to the professional requirement of testing staff;Third is that each radiation detector individually detects, it cannot reflect monitoring well The threat situation of environment.
Summary of the invention
The present invention is directed to the disadvantages mentioned above of existing nuclear radiation detection technique, proposes a kind of nuclear radiation based on artificial intelligence Detection system and method, can real-time monitoring target acquisition point radiation position, have good environmental adaptability, detection data quality Height facilitates the advantages of layman's use, multi-point joint monitoring.
Needle of the present invention proposes a kind of nuclear radiation detection method based on artificial intelligence, comprising:
Step 1: radiological measuring is carried out to each sensing point by least one nuclear radiation detector, generates radiation image Data and corresponding GPS geodata;The nuclear radiation detector carries out preliminary risk assessment according to the radiation image data And early warning, and it is big that the radiation image data and corresponding GPS geodata by Internet of Things be uploaded to cloud in real time simultaneously Data processing module;
Step 2: cloud big data processing module is using preparatory trained radiation image detection model to the radiation diagram As data progress precise classification identification, while model is trained using this data;The radiation image number that will be identified It is synthesized according to corresponding GPS geodata, generates generated data, and risk rating is carried out to the generated data;By institute It states risk rating information and is sent to risk information receiving module and nuclear radiation detector;
Step 3: the risk rating information received is passed to monitoring personnel by risk information receiving module, by supervising Survey personnel protect prediction scheme by Risk-warning unit starting accordingly.
The nuclear radiation detection system based on artificial intelligence that the invention also provides a kind of, including nuclear radiation detection module, cloud Hold big data processing module, risk information receiving module, in which:
The nuclear radiation detection module is used for, and carries out radioactivity inspection to each sensing point by multiple nuclear radiation detectors It surveys, generates radiation image data and corresponding GPS geodata;The survey meter carries out preliminary according to the radiation image data Risk assessment and early warning, and simultaneously upload the radiation image data and corresponding GPS geodata in real time by Internet of Things Give cloud big data processing module storage unit;
The cloud big data processing module is used for, and the storage unit transfers data to artificial intelligence process unit, Artificial intelligence process unit uses the technology of deep learning, using preparatory trained radiation image detection model to radiation image Data are accurately identified, while being trained using this data to model, and the detection accuracy of model is improved;Then by institute The radiation image data and corresponding GPS geodata for stating identified mistake are sent to post-processing unit and are synthesized, and to institute It states generated data and carries out risk rating;The risk rating information is finally sent to risk information receiving module and nuclear radiation Survey meter;
The risk information receiving module is used for, by the risk rating information received with application program of mobile phone, electricity The mode of brain client passes to policymaker, starts corresponding protection prediction scheme automatically by policymaker or Risk-warning unit.
The nuclear radiation detection module is made of one or more portable or fixed nuclear radiation detectors, the nuclear radiation Survey meter includes: detector, GPS unit, converting unit, assessment unit, display unit, in which:
The detector is used for, and detects the radioactivity of target point, generates radiation pulse signal;
The GPS unit is used for, and the corresponding GPS geodata of the sensing point is sent to the cloud big data and is handled Module;
The converting unit is used for, and the radiation pulse signal that the detector inputs is amplified again, is then converted into spoke Image data is penetrated, while being sent to assessment unit and cloud big data processing module;
The assessment unit is used for, and is carried out analysis and assessment to the radiation image data, is exported corresponding radiation judge picture Picture and corresponding pre-warning signal;
The display unit is used for, and is received radiation grading image data and pre-warning signal that the assessment unit is sent, is shown Show the radiation grading image and issues early warning.
Wherein the detector includes semiconductor crystal, preamplifier and Cryo Equipment:
The semiconductor crystal is used for, and radiation pulse signal is generated after the sensing point detects radioactive substance;
The preamplifier is used for, and the radiation pulse signal is amplified;
The Cryo Equipment is used for, and the temperature of the detector is maintained at normal range of operation.
The cloud big data processing module includes: storage unit, artificial intelligence process unit, post-processing unit;
The storage unit is used for, with storing radiation image data that the nuclear radiation detector is sent and corresponding GPS Manage data;
The artificial intelligence process unit is used for, using preparatory trained radiation image detection model to the radiation diagram As data are accurately identified, and it is sent to post-processing unit;
Post-processing unit is used for, the radiation image data and corresponding GPS that artificial intelligence process unit was identified Reason data are synthesized, and carry out risk rating to the generated data, and the risk rating information is then sent to risk Information receiving module and nuclear radiation detector.
The risk information receiving module includes application program of mobile phone, computer client and Risk-warning unit, in which:
The application program of mobile phone, computer client are used for, and are received the risk that big data processing server in cloud is sent and are commented Grade information, and visualized, facilitate the nuclear radiation situation of monitoring personnel's real-time monitoring target point.
The Risk-warning unit is used for, and starts phase automatically according to the instruction of monitoring personnel or in the case where unmanned instruction The risk protection prediction scheme answered.
The advantage of the present invention compared with the prior art is:
(1) the nuclear radiation detection system proposed by the present invention based on artificial intelligence, can acquire in real time and handle multiple spies Measuring point monitoring data and geodata can monitor automatically for long-range 24 hours, and reflection is in time and data are intuitively accurate, improves core Radiation protection ability protects the life and health safety of testing staff.
(2) present invention uses depth learning technologies, according to the identification rule obtained through the training of a large amount of radiation image datas This radiation image uploaded is accurately identified, detection accuracy is high, requires low to professional, and identifies rule constantly more Newly, various complex situations are adapted to.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram of nuclear radiation detection method of the embodiment of the present invention based on artificial intelligence;
Fig. 2 is the connection schematic diagram of the nuclear radiation detection system of the invention based on artificial intelligence;
Fig. 3 is the connection schematic diagram of the nuclear radiation detection system of the present invention based on artificial intelligence;
Fig. 4 is the connection schematic diagram of nuclear radiation detection module of the present invention;
Fig. 5 is the connection schematic diagram of big data processing module in cloud of the present invention.
Specific embodiment
The embodiment of the present invention is described in detail with reference to the accompanying drawing.
It will be appreciated that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Base Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts it is all its Its embodiment, shall fall within the protection scope of the present invention.
As shown in Figure 1, being a kind of nuclear radiation detection method based on artificial intelligence of the present invention, comprising:
Step 1: radiological measuring is carried out to each sensing point by least one nuclear radiation detector, generates radiation image Data and corresponding GPS geodata;Preliminary risk assessment and early warning are carried out according to the radiation image data, while will be described Radiation image data and corresponding GPS geodata pass through Internet of Things and are uploaded to cloud big data processing module in real time;
Step 2: cloud big data processing module is using preparatory trained radiation image detection model to the radiation diagram As data carry out precise classification identification;The step further include: the cloud big data processing module utilizes the radiation image Data are trained the radiation image detection model.The step assesses radiation image, according to one summarized in the past Serial rule and standard carry out risk stratification.The spy of radiation image is extracted particular by trained neural network model Sign classifies to input image data according to the learning experience that training obtains before.Then it is summarized according to radiation detection arts It is a series of rule and standards, to classification data carry out risk assessment, delimit different risk class, provide corresponding warning. The radiation image data and corresponding GPS that cloud big data processing module identified the cloud big data processing module are geographical Data are synthesized, and generate generated data, and carry out risk rating to the generated data;The risk rating information is sent To risk information receiving module and nuclear radiation detector and nuclear radiation detector.
Step 3: monitoring personnel can receive the risk rating information by application program of mobile phone, computer client, and The radiation level of each sensing point and geographical location image, are made accordingly by Risk-warning unit in real time inspection search coverage Decision.When not having monitoring personnel, system passes through Risk-warning unit starting phase automatically according to the radiation risk information received The protection prediction scheme answered.
Application scenarios of the invention are described below.
As shown in Fig. 2, for a kind of nuclear radiation detection system based on artificial intelligence shown in the present invention, comprising: nuclear radiation Survey meter 21, cloud big data processing module 22, risk information receiving module 23;
The nuclear radiation detection module 21 is used for, and is carried out radiological measuring to each sensing point, is generated radiation image data With corresponding GPS geodata;Preliminary risk assessment and early warning are carried out according to the radiation image data, while by the radiation Image data and corresponding GPS geodata pass through Internet of Things and are uploaded to cloud big data processing module storage unit in real time;
The cloud big data processing module 22, the storage unit sends radiation data to artificial intelligence process list Member, artificial intelligence process unit use the technology of deep learning, using preparatory trained radiation image detection model to radiation Image data is accurately identified, while being trained using this data to model, and the detection accuracy of model is improved;Later period Processing unit synthesizes the radiation image data that artificial intelligence process unit identified and corresponding geodata, and pairing Risk rating is carried out at data, protection warning is provided, is sent to risk information receiving module and nuclear radiation detector 23 and core spoke Penetrating survey meter, (being sent to survey meter is sent to after being handled by cloud because survey meter can not carry out complicated image procossing Survey meter, which can timely feedback, gives monitoring personnel radiation detection data accurate in detail);
The risk information receiving module 23: monitoring personnel receives cloud hair by application program of mobile phone and computer client The radiation geography information after risk rating and protection warning sent, can in real time inspection search coverage each sensing point radiation water Gentle geographical location image carries out further risk assessment and passes through Risk-warning unit starting security protection prediction scheme, if nothing Monitoring personnel makes instruction, then system starts the progress security protection of Risk-warning unit automatically.
As shown in figure 3, the nuclear radiation detector is single by detector, GPS unit, converting unit, assessment unit, display Member and other elements composition, in which:
The detector is made of semiconductor crystal, preamplifier and Cryo Equipment, in which: the semiconductor crystal is negative Duty detection radioactive substance simultaneously generates pulse signal, and the preamplifier is responsible for amplifying pulse signal, the Cryo Equipment It is responsible for keeping the temperature of detector in normal range of operation;
The GPS unit is responsible for the corresponding GPS geodata of sensing point being sent to cloud;
The converting unit is responsible for again amplifying the radiation pulse signal that detector detects, be converted analog signals into Data image signal is sent to cloud;
The assessment unit is responsible for the radiation information exported to converting unit and carries out simply analysis processing, and output corresponds to Radiation grade image, and corresponding pre-warning signal is exported according to assessment situation;
The display unit is responsible for receiving the radiation information and early warning that assessment unit and cloud big data processing module are sent Signal, display radiation grading image and sending early warning.
As shown in figure 4, a kind of nuclear radiation detection system based on artificial intelligence of the present invention, including nuclear radiation detection Module, cloud big data processing module, risk information receiving module, in which:
The nuclear radiation detection module: it for acquiring the pulse of detecting location radioactivity and GPS geography information, on the one hand carries out Radioactivity pulse information is converted radiation image information by amplification, analog-to-digital conversion operation, and carries out preliminary risk assessment and early warning, On the other hand interacted with cloud, by after conversion radiation image information and corresponding GPS geography information upload to cloud, so The information that receives that treated in cloud afterwards, makes corresponding risk warning.
Further, the nuclear radiation detection module is made of multiple portable and fixed nuclear radiation detector, Itself have general nuclear radiation detector detection, analysis and warning function, be responsible for acquiring sensing point radiation signal in real time, And data image signal is converted to, with the collected sensing point geography information of GPS unit by being uploaded to cloud together with Internet of Things Big data processing module, while also can receive the radiation geography information and pre-warning signal through risk rating of cloud transmission.
The cloud big data processing module: precisely identifying radiation image using deep learning neural network, whole Radiation image and corresponding geography information after closing identification provide risk rating and protection warning, send the data to risk letter Cease receiving module and nuclear radiation detector;That is, be responsible for storage nuclear radiation detection module input radiation image data and Geography information accurately identifies radiation image using deep learning neural network, finally will be after geography information and identification Radiation image is integrated, and risk information receiving module and nuclear radiation detector are sent to.Deep neural network mould described in it Type is trained in advance on a large amount of radiation image datas.That is, being responsible for the prison that storage nuclear radiation detection module uploads Altimetric image data and geodata, and Classification and Identification is carried out to radiation image using the technology of deep learning, by processed prison Measured data and corresponding geodata are synthesized, and accurate radiation geography information is exported.The cloud big data processing module It is responsible for accurately identifying received radiation image data, after postmenstruation processing, sends the data to risk information and receive mould Block and nuclear radiation detector.
The risk information receiving module: it is made of application program of mobile phone, computer client and Risk-warning unit.Pass through Application program of mobile phone and computer client receive the radiation geography information and protection warning after risk rating that cloud is sent, by Monitoring personnel carries out further risk assessment and decision or system starts Risk-warning unit automatically and carries out security protection.
Referring to attached drawing 5, the cloud big data processing module, mainly by storage unit, artificial intelligence process unit, later period Processing unit composition, in which:
The storage unit is responsible for real-time radiation data and geodata that each radiation detecting instrument of storage is sent to cloud;
The artificial intelligence process unit, the deep learning neural network model used are in a large amount of radiation image datas Upper trained, continuous training pattern while handling data, borrowing the powerful data-handling capacity in cloud can be quickly smart Various types of radiation image is identified quasi-ly;
The post-processing unit, responsible radiation image and geography information by after artificial intelligence process is integrated, and is given Corresponding risk rating and protection warning out.
The present invention proposes that nuclear radiation detection system can be realized nuclear radiation whole day and detect automatically, and high with detection accuracy, Real-time is good, requires low advantage to professional, is conducive to protect staff's life and health safety, improves monitoring region core spoke Penetrate protection level.
For convenience of description, description apparatus above is to be divided into various units/modules with function to describe respectively.Certainly, exist Implement to realize each unit/module function in the same or multiple software and or hardware when the present invention.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access Memory, RAM) etc..
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by those familiar with the art, all answers It is included within the scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.

Claims (7)

1. a kind of nuclear radiation detection method based on artificial intelligence characterized by comprising
Step 1: radiological measuring is carried out to each sensing point by least one nuclear radiation detector, generates radiation image data With corresponding GPS geodata;The nuclear radiation detector is according to the preliminary risk assessment of radiation image data progress and in advance It is alert, and the radiation image data and corresponding GPS geodata are uploaded to cloud big data by Internet of Things in real time simultaneously Processing module;
Step 2: cloud big data processing module is using preparatory trained radiation image detection model to the radiation image number According to progress precise classification identification, while model is trained using this data;By the radiation image data identified and Corresponding GPS geodata is synthesized, and generates generated data, and carry out risk rating to the generated data;By the wind Dangerous rating information is sent to risk information receiving module and nuclear radiation detector;
Step 3: the risk rating information received is passed to monitoring personnel by risk information receiving module, by monitoring people Member protects prediction scheme by Risk-warning unit starting accordingly, opens automatically if Risk-warning unit does not receive monitoring personnel's instruction Dynamic security protection prediction scheme.
2. a kind of nuclear radiation detection method based on artificial intelligence as described in claim 1, which is characterized in that the spoke described in it Penetrating image detection model is the preparatory trained deep neural network model on a large amount of radiation image datas.
3. a kind of nuclear radiation detection system based on artificial intelligence characterized by comprising nuclear radiation detection module, cloud are big Data processing module, risk information receiving module, in which:
The nuclear radiation detection module is used for, and carries out radiological measuring to each sensing point by multiple nuclear radiation detectors, raw At radiation image data and corresponding GPS geodata;The survey meter carries out preliminary risk according to the radiation image data Assessment and early warning, and the radiation image data and corresponding GPS geodata are uploaded to cloud by Internet of Things in real time simultaneously Hold big data processing module storage unit;
The cloud big data processing module is used for, and the storage unit transfers data to artificial intelligence process unit, manually Intelligent processing unit uses the technology of deep learning, using preparatory trained radiation image detection model to radiation image data It is accurately identified, while model is trained using this data, improve the detection accuracy of model;Then by the warp The radiation image data and corresponding GPS geodata identified is sent to post-processing unit and is synthesized, and to the conjunction Risk rating is carried out at data;The risk rating information is finally sent to risk information receiving module and nuclear radiation detection Instrument;
The risk information receiving module is used for, by the risk rating information received with application program of mobile phone, computer visitor The mode at family end passes to policymaker, starts corresponding protection prediction scheme automatically by policymaker or Risk-warning unit.
4. system as claimed in claim 3, which is characterized in that the nuclear radiation detector includes: detector, GPS unit, turns Change unit, assessment unit, display unit, in which:
The detector is used for, and detects the radioactive level of target point, generates radiation pulse signal;
The GPS unit is used for, and the corresponding GPS geodata of the sensing point is sent to the cloud big data and handles mould Block;
The converting unit is used for, and the radiation pulse signal that the detector inputs is amplified again, is then converted into radiation diagram As data, while being sent to assessment unit and cloud big data processing module;
The assessment unit is used for, and carries out analysis and assessment to the radiation image data, export corresponding radiation grading image with Corresponding pre-warning signal;
The display unit is used for, and is received radiation grading image data and pre-warning signal that the assessment unit is sent, is shown institute It states radiation grading image and issues early warning.
5. detector as claimed in claim 4 includes: semiconductor crystal, preamplifier and Cryo Equipment, in which:
The semiconductor crystal is used for, and radiation pulse signal is generated after the sensing point detects radioactive substance;
The preamplifier is used for, and the radiation pulse signal is amplified;
The Cryo Equipment is used for, and the temperature of the detector is maintained at normal range of operation.
6. system as claimed in claim 3, which is characterized in that the cloud big data processing module includes: storage unit, people Work intelligent processing unit, post-processing unit, in which:
The storage unit is used for, and stores radiation image data and corresponding GPS geography number that the nuclear radiation detector is sent According to;
The artificial intelligence process unit is used for, using preparatory trained radiation image detection model to the radiation image number According to being accurately identified, and it is sent to post-processing unit;
Post-processing unit is used for, the radiation image data and corresponding GPS geography number that artificial intelligence process unit was identified Risk rating is carried out according to being synthesized, and to the generated data, the risk rating information is then sent to risk information Receiving module and nuclear radiation detector.
7. system as claimed in claim 3, which is characterized in that the risk information receiving module include: application program of mobile phone, Computer client and Risk-warning unit, in which:
The application program of mobile phone, computer client are used for, and receive the risk rating letter that big data processing server in cloud is sent Breath, and visualized, facilitate the nuclear radiation situation of monitoring personnel's remote real time monitoring target point.
The Risk-warning unit is used for, and starting is corresponding automatically according to the instruction of monitoring personnel or in the case where unmanned instruction Risk protects prediction scheme.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110929689A (en) * 2019-12-10 2020-03-27 苏州大学 Nuclear radiation damage grading system and method based on electromagnetic signal analysis
CN114356265A (en) * 2021-12-30 2022-04-15 光时智能装备(苏州)有限公司 Nuclear radiation dose change data processing method and terminal before and after equipment works
CN115409344A (en) * 2022-08-22 2022-11-29 北京市核与辐射安全中心 Computing method and device for unit radiation risk level by nuclear technology, and electronic equipment
CN116229195A (en) * 2022-04-29 2023-06-06 同方威视技术股份有限公司 Method for training radiation image recognition model on line, radiation image recognition method and device
CN116502899A (en) * 2023-06-29 2023-07-28 吉贝克信息技术(北京)有限公司 Risk rating model generation method, device and storage medium based on artificial intelligence
CN118094266A (en) * 2024-04-25 2024-05-28 深圳市遨游通讯设备有限公司 Intelligent terminal nuclear radiation detection analysis method and system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103678910A (en) * 2013-12-12 2014-03-26 河海大学 Cloud system structure pre-warning system and method for riverway type reservoir tributary bay water bloom
CN105068108A (en) * 2015-07-22 2015-11-18 成都理工大学 Multifunctional neutron/gamma detector based on single probe
CN205720695U (en) * 2016-01-05 2016-11-23 成都理工大学 A kind of many rotor flyings formula nucleic detection identifier
CN109143306A (en) * 2018-07-10 2019-01-04 上海大学 Nuclear radiation field imaging device based on cadmium-zinc-teiluride array
CN109581458A (en) * 2018-12-14 2019-04-05 中国人民解放军第二军医大学 Nuclear radiation based on unmanned plane sources system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103678910A (en) * 2013-12-12 2014-03-26 河海大学 Cloud system structure pre-warning system and method for riverway type reservoir tributary bay water bloom
CN105068108A (en) * 2015-07-22 2015-11-18 成都理工大学 Multifunctional neutron/gamma detector based on single probe
CN205720695U (en) * 2016-01-05 2016-11-23 成都理工大学 A kind of many rotor flyings formula nucleic detection identifier
CN109143306A (en) * 2018-07-10 2019-01-04 上海大学 Nuclear radiation field imaging device based on cadmium-zinc-teiluride array
CN109581458A (en) * 2018-12-14 2019-04-05 中国人民解放军第二军医大学 Nuclear radiation based on unmanned plane sources system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
肖文: "基于3S技术的电磁辐射管理系统研究", 《环球科学与技术》 *

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110929689A (en) * 2019-12-10 2020-03-27 苏州大学 Nuclear radiation damage grading system and method based on electromagnetic signal analysis
CN114356265A (en) * 2021-12-30 2022-04-15 光时智能装备(苏州)有限公司 Nuclear radiation dose change data processing method and terminal before and after equipment works
CN116229195A (en) * 2022-04-29 2023-06-06 同方威视技术股份有限公司 Method for training radiation image recognition model on line, radiation image recognition method and device
WO2023207308A1 (en) * 2022-04-29 2023-11-02 同方威视技术股份有限公司 Method and apparatus for online training radiation image recognition model, and radiation image recognition method and apparatus
CN116229195B (en) * 2022-04-29 2024-05-17 同方威视技术股份有限公司 Method for training radiation image recognition model on line, radiation image recognition method and device
JP7530476B2 (en) 2022-04-29 2024-08-07 同方威視技術股▲分▼有限公司 Method for online training of radiation image identification model, radiation image identification method and device
CN115409344A (en) * 2022-08-22 2022-11-29 北京市核与辐射安全中心 Computing method and device for unit radiation risk level by nuclear technology, and electronic equipment
CN115409344B (en) * 2022-08-22 2023-09-05 北京市核与辐射安全中心 Method and device for calculating unit radiation risk level by nuclear technology and electronic equipment
CN116502899A (en) * 2023-06-29 2023-07-28 吉贝克信息技术(北京)有限公司 Risk rating model generation method, device and storage medium based on artificial intelligence
CN116502899B (en) * 2023-06-29 2023-09-01 吉贝克信息技术(北京)有限公司 Risk rating model generation method, device and storage medium based on artificial intelligence
CN118094266A (en) * 2024-04-25 2024-05-28 深圳市遨游通讯设备有限公司 Intelligent terminal nuclear radiation detection analysis method and system
CN118094266B (en) * 2024-04-25 2024-07-05 深圳市遨游通讯设备有限公司 Intelligent terminal nuclear radiation detection analysis method and system

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