CN117849891A - Online detection method and system for rays - Google Patents
Online detection method and system for rays Download PDFInfo
- Publication number
- CN117849891A CN117849891A CN202311761631.0A CN202311761631A CN117849891A CN 117849891 A CN117849891 A CN 117849891A CN 202311761631 A CN202311761631 A CN 202311761631A CN 117849891 A CN117849891 A CN 117849891A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- rays
- ray
- detection
- reflection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 160
- 238000004458 analytical method Methods 0.000 claims abstract description 41
- 238000000034 method Methods 0.000 claims description 44
- 238000010586 diagram Methods 0.000 claims description 42
- 238000007689 inspection Methods 0.000 claims description 28
- 230000005855 radiation Effects 0.000 claims description 26
- 238000001228 spectrum Methods 0.000 claims description 14
- 238000012545 processing Methods 0.000 claims description 13
- 238000010183 spectrum analysis Methods 0.000 claims description 10
- 230000003595 spectral effect Effects 0.000 claims description 6
- 230000005260 alpha ray Effects 0.000 claims description 5
- 230000005250 beta ray Effects 0.000 claims description 5
- 230000008094 contradictory effect Effects 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 238000007728 cost analysis Methods 0.000 abstract 1
- 238000003384 imaging method Methods 0.000 description 3
- 230000005251 gamma ray Effects 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/20—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by using diffraction of the radiation by the materials, e.g. for investigating crystal structure; by using scattering of the radiation by the materials, e.g. for investigating non-crystalline materials; by using reflection of the radiation by the materials
Landscapes
- Chemical & Material Sciences (AREA)
- Crystallography & Structural Chemistry (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses an online detection method and an online detection system for rays, wherein an in-place signal of a vehicle is acquired, and the rays in the vehicle are detected online based on the in-place signal trigger of the vehicle; positioning the outline of the vehicle, and carrying out full-area ray detection on the vehicle; acquiring a reflected signal of rays in a vehicle; carrying out signal analysis on the reflected signals of the rays, and outputting the reflected results of the rays; collecting the reflection results of rays in real time, and forming a reflection result set of the rays; and at the moment, the rays in the vehicle are detected on line based on the outer contour range of the vehicle, and cost analysis is performed according to the reflection result analyzed by the reflection signals of the rays, so that the overall ray condition of the vehicle is determined, the local detection of the rays in the vehicle is avoided, and the reliability of security check detection is improved.
Description
Technical Field
The invention relates to the technical field of injection molds, in particular to an online detection method and system for rays.
Background
Along with development of science and technology, in various security inspection, the vehicle bears goods and passes through the detection of ray, in prior art, current security inspection equipment carries out local detection to appointed region in the vehicle to need gather the locating signal of appointed region in the vehicle in advance, lock in local region according to the position that locating signal formulated, thereby follow-up carry out the ray to local region, because in the prior art carry out local detection to the ray in the vehicle, its reliability of detection is not high.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides an online detection method and an online detection system for rays.
In order to solve the above technical problems, an embodiment of the present invention provides an online detection method for a ray, including: acquiring an in-place signal of a vehicle, and triggering on-line detection of rays in the vehicle based on the in-place signal of the vehicle; positioning the outline of the vehicle, and carrying out full-area ray detection on the vehicle; acquiring a reflected signal of rays in a vehicle; carrying out signal analysis on the reflected signals of the rays, and outputting the reflected results of the rays; collecting the reflection results of rays in real time, and forming a reflection result set of the rays; and carrying out component analysis based on the reflection result set of the rays, and determining the overall ray condition of the vehicle, so as to avoid the local detection of the rays in the vehicle.
Optionally, the acquiring the in-place signal of the vehicle, triggering on-line detection of the ray in the vehicle based on the in-place signal of the vehicle, includes:
acquiring a vehicle in-place signal when the vehicle passes through the in-place area of the security inspection equipment;
triggering a ray detection mode of the security inspection device based on an in-place signal of the vehicle;
marking the vehicles, and carrying out path tracking on the vehicles to form a path schematic diagram;
dividing a detection area according to a path schematic diagram, wherein the detection area comprises at least one of an alpha ray detection area, a beta ray detection area, gamma rays, X rays and neutron rays;
the cross detection is performed based on different detection areas and triggers the on-line detection of the radiation in the vehicle.
Optionally, the positioning the outer contour of the vehicle and performing full-area ray detection on the vehicle includes:
capturing an outline picture and a shooting angle of a vehicle;
performing reverse compensation based on the shooting angle, and deducting the outer contour of the vehicle by combining the appearance picture of the vehicle;
positioning the outline of the vehicle and determining an outline schematic diagram of the vehicle;
according to the outline schematic diagram of the vehicle, extending the external area and forming an extended outline to be detected;
and adjusting the detection range of the security inspection equipment based on the outline to be detected, and carrying out full-area ray detection on the vehicle, wherein the detection range of the security inspection equipment is adjusted along with the adjustment of the outline to be detected.
Optionally, the acquiring the reflected signal of the ray in the vehicle includes:
performing ray detection on the vehicle according to the detection area;
ray feedback is carried out on the vehicle based on the multi-channel pulse, and a feedback signal is determined;
performing energy spectrum analysis according to the feedback signal to determine an energy spectrum diagram under single rays or multiple rays;
the spectral analysis is performed based on the spectral diagram and the ray detection is optimized under spectral compensation to determine the reflected signal of the rays in the vehicle.
Optionally, the signal analyzing the reflected signal of the ray and outputting the reflected result of the ray includes:
inputting a reflected signal of rays in the vehicle to an analysis module;
carrying out signal analysis on the reflected signals of the rays, and analyzing a plurality of reflection results;
noise reduction processing is carried out on the reflection results, and the reflection results meeting the corresponding energy spectrum are ordered;
and predicting the corresponding ray types of the ordered reflection results based on a ray prediction learning algorithm, wherein the ray prediction learning algorithm learns based on the previous reflection results and the ray types.
Optionally, the collecting the reflection result of the ray in real time and forming a reflection result set of the ray includes:
collecting a ray reflection result, and collecting the ray reflection result in real time according to a preset time period;
sequentially forming a result schematic diagram according to time sequencing of the reflection results acquired in real time;
carrying out curve drawing on the result schematic diagram based on a preset coordinate system, and forming a curve diagram;
carrying out turning point marking based on the graph, and recording the reflection result of rays corresponding to the turning points;
collecting the reflection results of the rays corresponding to the turning points, forming a first reflection result set of the rays, and forming a second reflection result set of the rays by the reflection results of the rays of the non-turning points;
determining a difference amount according to the comparison of the first reflection result set of the rays and the second reflection result set of the rays;
if the difference accords with a preset difference threshold, adding the first reflection result of the ray to the second reflection result of the ray, and forming a reflection result set of the ray;
and if the difference does not meet the preset difference threshold, taking the first reflection result of the ray as a reflection result set of the ray.
Optionally, the component analysis is performed based on the reflection result set of the rays, and the overall ray condition of the vehicle is determined, so as to avoid local detection of rays in the vehicle, including:
acquiring a reflection result set of rays;
screening out corresponding ray components from the reflection result set of the rays;
performing component analysis according to the ray components, and marking rays existing in the corresponding region;
the method comprises the steps of determining the ray condition of the vehicle based on the position signal and the ray signal, and grouping the ray conditions of a plurality of vehicles into the whole ray condition of the vehicle so as to avoid local detection of rays in the vehicle, wherein the ray conditions of the plurality of vehicles are not contradictory.
Optionally, the method for online detection of rays further includes:
dynamically detecting rays of the vehicle, and dynamically detecting the rays of the vehicle along with the running of the vehicle;
denoising according to the dynamic feedback result of the rays, and forming a ray dynamic result;
and performing ray analysis based on the ray dynamic result to output a corresponding ray type, wherein a ray position signal cannot be output at the moment.
Optionally, the method for online detection of rays further includes:
constructing a shielding region based on an outer contour of the vehicle;
a reflected field is formed for the shielded area and limits the contour of the vehicle to be detected.
In addition, the embodiment of the invention also provides an online detection system for rays, which comprises: a first acquisition module: the method comprises the steps of acquiring an in-place signal of a vehicle, and triggering on-line detection of rays in the vehicle based on the in-place signal of the vehicle; and a positioning module: the method comprises the steps of positioning the outline of a vehicle and carrying out full-area ray detection on the vehicle; and a second acquisition module: for acquiring reflected signals of rays in the vehicle; and an analysis module: the device is used for carrying out signal analysis on the reflected signals of the rays and outputting the reflected results of the rays; and the acquisition module is used for: the method comprises the steps of collecting reflection results of rays in real time and forming a reflection result set of the rays; and an analysis module: the method is used for carrying out component analysis based on the reflection result set of the rays, determining the overall ray condition of the vehicle and avoiding the local detection of the rays in the vehicle.
In the embodiment of the invention, the method in the embodiment of the invention obtains the in-place signal of the vehicle, and the ray in the vehicle is detected on line based on the triggering of the in-place signal of the vehicle; positioning the outline of the vehicle, and carrying out full-area ray detection on the vehicle; acquiring a reflected signal of rays in a vehicle; carrying out signal analysis on the reflected signals of the rays, and outputting the reflected results of the rays; collecting the reflection results of rays in real time, and forming a reflection result set of the rays; and (3) carrying out component analysis based on the reflection result set of the rays, determining the overall ray condition of the vehicle, and avoiding the problem of low reliability caused by local detection of the rays in the vehicle.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings which are required in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an online detection method for rays in an embodiment of the invention;
FIG. 2 is a schematic flow chart of S11 in FIG. 1;
FIG. 3 is a schematic flow chart of S12 in FIG. 1;
FIG. 4 is a schematic flow chart of S13 in FIG. 1;
FIG. 5 is a schematic flow chart of S14 in FIG. 1;
FIG. 6 is a schematic flow chart of S15 in FIG. 1;
FIG. 7 is a schematic flow chart of S16 in FIG. 1;
FIG. 8 is a schematic diagram of the structural composition of an online detection system for radiation in an embodiment of the invention;
fig. 9 is a hardware diagram of an electronic device, according to an example embodiment.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
Referring to fig. 1 to 7, an online detection method for a ray, the method includes:
s11: acquiring an in-place signal of a vehicle, and triggering on-line detection of rays in the vehicle based on the in-place signal of the vehicle;
the in-place signal of the vehicle is used as a trigger signal for online detection of rays in the vehicle, and the online detection of the rays in the vehicle is started under the dynamic running of the vehicle, so that the ray detection efficiency of the security inspection device is improved, and the dynamic running of the vehicle is not influenced.
In the implementation process of the invention, the specific steps can be as follows:
s111: acquiring a vehicle in-place signal when the vehicle passes through the in-place area of the security inspection equipment;
the method comprises the steps of adjusting an area detected by security inspection equipment, carrying out preliminary detection on a vehicle in-place area of the security inspection equipment so as to obtain an in-place signal of the vehicle, and carrying out ray detection of a subsequent vehicle based on the in-place signal of the vehicle.
S112: triggering a ray detection mode of the security inspection device based on an in-place signal of the vehicle;
the in-place signal of the vehicle triggers a ray detection mode of the security inspection device, so that the security inspection device can dynamically detect the vehicle in the ray detection mode, and rays in the vehicle can be detected conveniently.
S113: marking the vehicles, and carrying out path tracking on the vehicles to form a path schematic diagram;
the vehicle model registration method comprises the steps of registering the model of each vehicle, marking the model of each vehicle so as to determine the specific model of the vehicle, tracking the marks so as to track the vehicle in a path to form a path schematic diagram, dividing different areas through the path schematic diagram, and detecting different rays of the vehicle in different areas so as to ensure that various rays are detected in a targeted mode and avoid omission.
S114: dividing a detection area according to a path schematic diagram, wherein the detection area comprises at least one of an alpha ray detection area, a beta ray detection area, gamma rays, X rays and neutron rays;
s115: the cross detection is performed based on different detection areas and triggers the on-line detection of the radiation in the vehicle.
The detection areas are divided according to the path schematic diagram, and different rays are detected in different detection areas, at this time, the detection areas comprise at least one of an alpha ray detection area, a beta ray detection area, a gamma ray, an X ray and a neutron ray, and the alpha ray detection, the beta ray detection, the gamma ray, the X ray and the neutron ray correspond to each other, so that the fact that each ray in a vehicle is detected by a single ray in a targeted manner is guaranteed, the intersection detection is carried out on the basis of the different detection areas, the on-line detection of the rays in the vehicle is triggered, and different ray detection can be carried out in the different detection areas, so that the detection efficiency of the rays is improved, and the targeted detection can be carried out in the different areas, so that the whole radiation detection is facilitated.
S12: positioning the outline of the vehicle, and carrying out full-area ray detection on the vehicle;
the outer contour of the vehicle is positioned so as to calculate the outer contour size of the vehicle, so that full-area ray detection is performed on the vehicle, local ray detection is avoided, positioning of a local area is avoided, the ray detection efficiency in the vehicle is improved, and safety detection safety is guaranteed.
In the implementation process of the invention, the specific steps can be as follows:
s121: capturing an outline picture and a shooting angle of a vehicle;
s122: performing reverse compensation based on the shooting angle, and deducting the outer contour of the vehicle by combining the appearance picture of the vehicle;
the method comprises the steps of obtaining an outline picture and an imaging angle of a vehicle in security inspection equipment, and carrying out reverse compensation based on the imaging angle so as to adjust the actual outline of the vehicle based on the compensated imaging angle, and deducting the outline of the vehicle by combining the outline picture of the vehicle, so that the accuracy of the outline of the vehicle is ensured, and meanwhile, missing areas of the security inspection equipment to the vehicle are avoided.
S123: positioning the outline of the vehicle and determining an outline schematic diagram of the vehicle;
s124: according to the outline schematic diagram of the vehicle, extending the external area and forming an extended outline to be detected;
s125: and adjusting the detection range of the security inspection equipment based on the outline to be detected, and carrying out full-area ray detection on the vehicle, wherein the detection range of the security inspection equipment is adjusted along with the adjustment of the outline to be detected.
The detection range is further expanded under the original outline of the vehicle, further detection is carried out on the premise of being fully based on the outline of the vehicle, at this time, the external area is extended according to the outline schematic diagram of the vehicle, and an extended outline to be detected is formed; the detection range of the security inspection equipment is adjusted based on the to-be-detected profile, and full-area ray detection is carried out on the vehicle, wherein the detection range of the security inspection equipment is adjusted along with the adjustment of the to-be-detected profile, so that the security inspection equipment is convenient to be adapted to the detection of various vehicles, the detection universality of the rays of the vehicles is improved, and the overall detection efficiency can be improved according to the detection ranges of different vehicles.
S13: acquiring a reflected signal of rays in a vehicle;
the method comprises the steps of obtaining a reflection signal of rays in a vehicle by adopting reflection of the rays, reflecting the rays under external reaction, and forming the reflection signal of the rays in the vehicle so as to be convenient for deduction of the rays according to the reflection signal.
In the implementation process of the invention, the specific steps can be as follows:
s131: performing ray detection on the vehicle according to the detection area;
s132: ray feedback is carried out on the vehicle based on the multi-channel pulse, and a feedback signal is determined;
s133: performing energy spectrum analysis according to the feedback signal to determine an energy spectrum diagram under single rays or multiple rays;
s134: the spectral analysis is performed based on the spectral diagram and the ray detection is optimized under spectral compensation to determine the reflected signal of the rays in the vehicle.
The vehicle is comprehensively detected according to the detection area, the detection range is further expanded under the outer contour of the original vehicle, the vehicle is guaranteed to be detected in all directions by the security inspection equipment, the vehicle is subjected to ray feedback based on the multi-channel pulses, the feedback signals are determined, rays in the vehicle are fed back according to the multi-channel pulses, the energy spectrum analysis is performed according to the feedback signals, the energy spectrum diagram under single rays or multiple rays is determined, data analysis is conveniently performed in the energy spectrum diagram, ray adjustment is conveniently performed in the single rays or the multiple rays, the situation that the single rays and the multiple rays are mixed is conveniently solved, and the full detection of the vehicle by the security inspection equipment is guaranteed. Alternatively, the drawing of the energy spectrum diagram belongs to the prior art.
In addition, the energy spectrum analysis is carried out based on the energy spectrum diagram, so that the energy spectrum diagram is further interpreted based on the energy spectrum analysis, the ray detection is optimized under the energy spectrum compensation, the ray reflection signal in the vehicle is determined, the accuracy of the ray detection is ensured, the energy spectrum analysis and the energy spectrum diagram are fully utilized, the data is timely denoised and adjusted, and the purity of the data is ensured.
In addition, the online detection method for rays further comprises the following steps: constructing a shielding region based on an outer contour of the vehicle; the reflection field is formed on the shielding area, and the outline to be detected of the vehicle is limited, so that the influence of the external area on security inspection equipment is avoided, and the stability of the detection area is further ensured.
S14: carrying out signal analysis on the reflected signals of the rays, and outputting the reflected results of the rays;
in the implementation process of the invention, the specific steps can be as follows:
s141: inputting a reflected signal of rays in the vehicle to an analysis module;
s142: carrying out signal analysis on the reflected signals of the rays, and analyzing a plurality of reflection results;
s143: noise reduction processing is carried out on the reflection results, and the reflection results meeting the corresponding energy spectrum are ordered;
s144: and predicting the corresponding ray types of the ordered reflection results based on a ray prediction learning algorithm, wherein the ray prediction learning algorithm learns based on the previous reflection results and the ray types.
The method comprises the steps that a ray reflection signal in a vehicle is input to an analysis module, the analysis module analyzes the ray reflection signal under operation so as to analyze a plurality of reflection results, noise reduction processing is conducted according to the plurality of reflection results, accurate data in the plurality of reflection results are reserved for a data processing area with noise, and in addition, the reflection results meeting the corresponding energy spectrum are ordered; the ordered reflection results are estimated to corresponding ray types based on a ray estimation learning algorithm, so that the online detection of rays is realized, the accuracy of the detection result of the rays is ensured, and the ray estimation learning algorithm learns based on the past reflection results and the ray types
S15: collecting the reflection results of rays in real time, and forming a reflection result set of the rays;
in the implementation process of the invention, the specific steps can be as follows:
s151: collecting a ray reflection result, and collecting the ray reflection result in real time according to a preset time period;
s152: sequentially forming a result schematic diagram according to time sequencing of the reflection results acquired in real time;
s153: carrying out curve drawing on the result schematic diagram based on a preset coordinate system, and forming a curve diagram;
in the implementation process of the invention, the reflection results of rays are obtained, and the reflection results of the rays are acquired in real time according to a preset time period, so that time ordering is carried out according to a plurality of reflection results, and the reflection results acquired in real time are sequentially formed into a result schematic diagram according to the time ordering; and (3) drawing a curve of the result schematic diagram based on a preset coordinate system, and forming a curve graph, so that the curve graph is convenient for data processing, and optimization processing is convenient for turning points.
S154: carrying out turning point marking based on the graph, and recording the reflection result of rays corresponding to the turning points;
s155: collecting the reflection results of the rays corresponding to the turning points, forming a first reflection result set of the rays, and forming a second reflection result set of the rays by the reflection results of the rays of the non-turning points;
s156: determining a difference amount according to the comparison of the first reflection result set of the rays and the second reflection result set of the rays;
s157: if the difference accords with a preset difference threshold, adding the first reflection result of the ray to the second reflection result of the ray, and forming a reflection result set of the ray; and if the difference does not meet the preset difference threshold, taking the first reflection result of the ray as a reflection result set of the ray.
In the implementation process of the invention, turning point marking is carried out based on a graph, and the reflection result of the ray corresponding to the turning point is recorded so as to focus on the turning point, acquisition is carried out based on the reflection result of the ray corresponding to the turning point, a first reflection result set of the ray is formed, and a second reflection result set of the ray is formed on the reflection result of the ray not at the turning point; in order to further ensure the accuracy of the first reflection result set and the second reflection result set, determining a difference amount according to the comparison of the first reflection result set of rays and the second reflection result set of rays; if the difference accords with a preset difference threshold, adding the first reflection result of the ray to the second reflection result of the ray, and forming a reflection result set of the ray; and if the difference does not meet the preset difference threshold, taking the first reflection result of the ray as a reflection result set of the ray.
S16: component analysis is carried out based on the reflection result set of the rays, and the overall ray condition of the vehicle is determined, so that the local detection of the rays in the vehicle is avoided;
in the implementation process of the invention, the specific steps can be as follows:
s161: acquiring a reflection result set of rays;
s162: screening out corresponding ray components from the reflection result set of the rays;
s163: performing component analysis according to the ray components, and marking rays existing in the corresponding region;
s164: the method comprises the steps of determining the ray condition of the vehicle based on the position signal and the ray signal, and grouping the ray conditions of a plurality of vehicles into the whole ray condition of the vehicle so as to avoid local detection of rays in the vehicle, wherein the ray conditions of the plurality of vehicles are not contradictory.
In addition, the online detection method for rays further comprises the following steps: dynamically detecting rays of the vehicle, and dynamically detecting the rays of the vehicle along with the running of the vehicle; denoising according to the dynamic feedback result of the rays, and forming a ray dynamic result; and performing ray analysis based on the ray dynamic result to output a corresponding ray type, wherein a ray position signal cannot be output at the moment.
In the embodiment of the invention, the method in the embodiment of the invention obtains the in-place signal of the vehicle, and the ray in the vehicle is detected on line based on the triggering of the in-place signal of the vehicle; positioning the outline of the vehicle, and carrying out full-area ray detection on the vehicle; acquiring a reflected signal of rays in a vehicle; carrying out signal analysis on the reflected signals of the rays, and outputting the reflected results of the rays; collecting the reflection results of rays in real time, and forming a reflection result set of the rays; component analysis is carried out based on the reflection result set of the rays, the overall ray condition of the vehicle is determined, the problem of low reliability caused by local detection of the rays in the vehicle is avoided, and the reliability of security inspection detection is ensured.
Examples
Referring to fig. 8, fig. 8 is a schematic structural diagram of an on-line detection system for radiation according to an embodiment of the present invention.
As shown in fig. 8, an on-line detection system for rays, the on-line detection system for rays comprising:
the first acquisition module 21: the method comprises the steps of acquiring an in-place signal of a vehicle, and triggering on-line detection of rays in the vehicle based on the in-place signal of the vehicle;
positioning module 22: the method comprises the steps of positioning the outline of a vehicle and carrying out full-area ray detection on the vehicle;
the second acquisition module 23: for acquiring reflected signals of rays in the vehicle;
parsing module 24: the device is used for carrying out signal analysis on the reflected signals of the rays and outputting the reflected results of the rays;
acquisition module 25: the method comprises the steps of collecting reflection results of rays in real time and forming a reflection result set of the rays;
analysis module 26: the method is used for carrying out component analysis based on the reflection result set of the rays, determining the overall ray condition of the vehicle and avoiding the local detection of the rays in the vehicle.
The invention provides an online detection method and an online detection system for rays, which are used for acquiring in-place signals of a vehicle and triggering the online detection of the rays in the vehicle based on the in-place signals of the vehicle; positioning the outline of the vehicle, and carrying out full-area ray detection on the vehicle; acquiring a reflected signal of rays in a vehicle; carrying out signal analysis on the reflected signals of the rays, and outputting the reflected results of the rays; collecting the reflection results of rays in real time, and forming a reflection result set of the rays; and at the moment, the rays in the vehicle are detected on line based on the outer contour range of the vehicle, and the component analysis is performed according to the reflection result analyzed by the reflection signals of the rays, so that the overall ray condition of the vehicle is determined, the problem of low reliability caused by the local detection of the rays in the vehicle is avoided, and the reliability of security check detection is ensured.
Examples
Referring to fig. 9, an electronic device 40 according to this embodiment of the present invention is described below with reference to fig. 9. The electronic device 40 shown in fig. 9 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 9, the electronic device 40 is in the form of a general purpose computing device. Components of electronic device 40 may include, but are not limited to: the at least one processing unit 41, the at least one memory unit 42, a bus 43 connecting the different system components, including the memory unit 42 and the processing unit 41.
Wherein the storage unit stores program code that is executable by the processing unit 41 such that the processing unit 41 performs the steps according to various exemplary embodiments of the present invention described in the above-described "example methods" section of the present specification.
The memory unit 42 may include readable media in the form of volatile memory units, such as Random Access Memory (RAM) 421 and/or cache memory 422, and may further include Read Only Memory (ROM) 423.
The storage unit 42 may also include a program/utility 424 having a set (at least one) of program modules 425, such program modules 425 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The bus 43 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
Electronic device 40 may also communicate with one or more external devices (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with electronic device 40, and/or any device (e.g., router, modem, etc.) that enables electronic device 40 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 44. Also, electronic device 40 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, via network adapter 45. As shown in fig. 9, the network adapter 45 communicates with other modules of the electronic device 40 via the bus 43. It should be appreciated that although not shown in fig. 9, other hardware and/or software modules may be used in connection with electronic device 40, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup avoidance systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be implemented by a program to instruct related hardware, the program may be stored in a computer readable storage medium, and the storage medium may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like. And which stores computer program instructions which, when executed by a computer, cause the computer to perform a method according to the above.
In addition, the method and system for online detection of rays provided by the embodiments of the present invention are described in detail, and specific examples should be adopted to illustrate the principles and embodiments of the present invention, and the description of the above examples is only used to help understand the method and core ideas of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (10)
1. An on-line detection method for rays, comprising:
acquiring an in-place signal of a vehicle, and triggering on-line detection of rays in the vehicle based on the in-place signal of the vehicle;
positioning the outline of the vehicle, and carrying out full-area ray detection on the vehicle;
acquiring a reflected signal of rays in a vehicle;
carrying out signal analysis on the reflected signals of the rays, and outputting the reflected results of the rays;
collecting the reflection results of rays in real time, and forming a reflection result set of the rays;
and carrying out component analysis based on the reflection result set of the rays, and determining the overall ray condition of the vehicle.
2. The method for on-line detection of radiation according to claim 1, wherein the acquiring the in-place signal of the vehicle, triggering on-line detection of radiation in the vehicle based on the in-place signal of the vehicle, comprises:
acquiring a vehicle in-place signal when the vehicle passes through the in-place area of the security inspection equipment;
triggering a ray detection mode of the security inspection device based on an in-place signal of the vehicle;
marking the vehicles, and carrying out path tracking on the vehicles to form a path schematic diagram;
dividing a detection area according to a path schematic diagram, wherein the detection area comprises at least one of an alpha ray detection area, a beta ray detection area, gamma rays, X rays and neutron rays;
the cross detection is performed based on different detection areas and triggers the on-line detection of the radiation in the vehicle.
3. The on-line detection method for radiation according to claim 2, wherein the locating the outer contour of the vehicle and performing the full-area radiation detection for the vehicle comprises:
capturing an outline picture and a shooting angle of a vehicle;
performing reverse compensation based on the shooting angle, and deducting the outer contour of the vehicle by combining the appearance picture of the vehicle;
positioning the outline of the vehicle and determining an outline schematic diagram of the vehicle;
according to the outline schematic diagram of the vehicle, extending the external area and forming an extended outline to be detected;
and adjusting the detection range of the security inspection equipment based on the outline to be detected, and carrying out full-area ray detection on the vehicle, wherein the detection range of the security inspection equipment is adjusted along with the adjustment of the outline to be detected.
4. The method for on-line detection of radiation according to claim 3, wherein the acquiring the reflected signal of the radiation in the vehicle comprises:
performing ray detection on the vehicle according to the detection area;
ray feedback is carried out on the vehicle based on the multi-channel pulse, and a feedback signal is determined;
performing energy spectrum analysis according to the feedback signal to determine an energy spectrum diagram under single rays or multiple rays;
the spectral analysis is performed based on the spectral diagram and the ray detection is optimized under spectral compensation to determine the reflected signal of the rays in the vehicle.
5. The method for on-line detection of radiation according to claim 4, wherein the performing signal analysis on the reflected signal of the radiation and outputting the reflected result of the radiation comprises:
inputting a reflected signal of rays in the vehicle to an analysis module;
carrying out signal analysis on the reflected signals of the rays, and analyzing a plurality of reflection results;
noise reduction processing is carried out on the reflection results, and the reflection results meeting the corresponding energy spectrum are ordered;
and predicting the corresponding ray types of the ordered reflection results based on a ray prediction learning algorithm, wherein the ray prediction learning algorithm learns based on the previous reflection results and the ray types.
6. The method for on-line detection of radiation according to claim 5, wherein the collecting the reflection results of the radiation in real time and forming the reflection result set of the radiation comprises:
collecting a ray reflection result, and collecting the ray reflection result in real time according to a preset time period;
sequentially forming a result schematic diagram according to time sequencing of the reflection results acquired in real time;
carrying out curve drawing on the result schematic diagram based on a preset coordinate system, and forming a curve diagram;
carrying out turning point marking based on the graph, and recording the reflection result of rays corresponding to the turning points;
collecting the reflection results of the rays corresponding to the turning points, forming a first reflection result set of the rays, and forming a second reflection result set of the rays by the reflection results of the rays of the non-turning points;
determining a difference amount according to the comparison of the first reflection result set of the rays and the second reflection result set of the rays;
if the difference accords with a preset difference threshold, adding the first reflection result of the ray to the second reflection result of the ray, and forming a reflection result set of the ray; and if the difference does not meet the preset difference threshold, taking the first reflection result of the ray as a reflection result set of the ray.
7. The method for on-line detection of radiation according to claim 6, wherein the performing component analysis based on the reflection result set of radiation and determining the overall radiation condition of the vehicle to avoid local detection of radiation in the vehicle comprises:
acquiring a reflection result set of rays;
screening out corresponding ray components from the reflection result set of the rays;
performing component analysis according to the ray components, and marking rays existing in the corresponding region;
the method comprises the steps of determining the ray condition of the vehicle based on the position signal and the ray signal, and grouping the ray conditions of a plurality of vehicles into the whole ray condition of the vehicle so as to avoid local detection of rays in the vehicle, wherein the ray conditions of the plurality of vehicles are not contradictory.
8. The on-line detection method for radiation according to claim 7, further comprising:
dynamically detecting rays of the vehicle, and dynamically detecting the rays of the vehicle along with the running of the vehicle;
denoising according to the dynamic feedback result of the rays, and forming a ray dynamic result;
and performing ray analysis based on the ray dynamic result to output a corresponding ray type, wherein a ray position signal cannot be output at the moment.
9. The on-line detection method for radiation according to claim 8, further comprising:
constructing a shielding region based on an outer contour of the vehicle;
a reflected field is formed for the shielded area and limits the contour of the vehicle to be detected.
10. An on-line detection system for radiation, the on-line detection system for radiation comprising:
a first acquisition module: the method comprises the steps of acquiring an in-place signal of a vehicle, and triggering on-line detection of rays in the vehicle based on the in-place signal of the vehicle;
and a positioning module: the method comprises the steps of positioning the outline of a vehicle and carrying out full-area ray detection on the vehicle;
and a second acquisition module: for acquiring reflected signals of rays in the vehicle;
and an analysis module: the device is used for carrying out signal analysis on the reflected signals of the rays and outputting the reflected results of the rays;
and the acquisition module is used for: the method comprises the steps of collecting reflection results of rays in real time and forming a reflection result set of the rays;
and an analysis module: the method is used for carrying out component analysis based on the reflection result set of the rays, determining the overall ray condition of the vehicle and avoiding the local detection of the rays in the vehicle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311761631.0A CN117849891B (en) | 2023-12-20 | 2023-12-20 | Online detection method and system for rays |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311761631.0A CN117849891B (en) | 2023-12-20 | 2023-12-20 | Online detection method and system for rays |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117849891A true CN117849891A (en) | 2024-04-09 |
| CN117849891B CN117849891B (en) | 2024-11-08 |
Family
ID=90529734
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311761631.0A Active CN117849891B (en) | 2023-12-20 | 2023-12-20 | Online detection method and system for rays |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117849891B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0700212A1 (en) * | 1994-03-29 | 1996-03-06 | Kabushiki Kaisha Toshiba | Device for confirmation of rear view of vehicle |
| CN105809088A (en) * | 2014-12-30 | 2016-07-27 | 清华大学 | Vehicle identification method and system |
| CN106841248A (en) * | 2017-04-07 | 2017-06-13 | 北京华力兴科技发展有限责任公司 | The safety check system of vehicle or container |
| US20180012461A1 (en) * | 2016-07-07 | 2018-01-11 | Sri International | Passive optical detection method and system for vehicles |
| CN107655906A (en) * | 2017-09-26 | 2018-02-02 | 同方威视技术股份有限公司 | Vehicle safe examination system, method and controller |
| CN207263664U (en) * | 2016-10-17 | 2018-04-20 | 北京君和信达科技有限公司 | Radiation checking system |
| CN116880509A (en) * | 2020-08-25 | 2023-10-13 | 同方威视技术股份有限公司 | Guidance control method, guidance control device, security inspection vehicle, medium, and program product |
-
2023
- 2023-12-20 CN CN202311761631.0A patent/CN117849891B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0700212A1 (en) * | 1994-03-29 | 1996-03-06 | Kabushiki Kaisha Toshiba | Device for confirmation of rear view of vehicle |
| CN105809088A (en) * | 2014-12-30 | 2016-07-27 | 清华大学 | Vehicle identification method and system |
| US20180012461A1 (en) * | 2016-07-07 | 2018-01-11 | Sri International | Passive optical detection method and system for vehicles |
| CN207263664U (en) * | 2016-10-17 | 2018-04-20 | 北京君和信达科技有限公司 | Radiation checking system |
| CN106841248A (en) * | 2017-04-07 | 2017-06-13 | 北京华力兴科技发展有限责任公司 | The safety check system of vehicle or container |
| CN107655906A (en) * | 2017-09-26 | 2018-02-02 | 同方威视技术股份有限公司 | Vehicle safe examination system, method and controller |
| CN116880509A (en) * | 2020-08-25 | 2023-10-13 | 同方威视技术股份有限公司 | Guidance control method, guidance control device, security inspection vehicle, medium, and program product |
Non-Patent Citations (1)
| Title |
|---|
| 郭宝英;郑思凡;: "车辆安全例检的图像识别与跟踪定位方法研究", 集美大学学报(自然科学版), no. 06, 28 November 2017 (2017-11-28) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117849891B (en) | 2024-11-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2010517015A (en) | Advanced pattern recognition system for spectral analysis. | |
| KR20210038143A (en) | System and method of inspecting object based on artificial intelligence | |
| JP2013511026A (en) | Anomaly detection of radiation signature | |
| CN103679167A (en) | Method for processing CCD images | |
| CN111580116A (en) | Method for evaluating target detection performance of vehicle-mounted system and electronic equipment | |
| CN113449703B (en) | Quality control method and device for environment online monitoring data, storage medium and equipment | |
| CN116245808A (en) | Workpiece defect detection method and device, electronic equipment and storage medium | |
| CN112834249B (en) | Steering parameter detection method, device, equipment and storage medium | |
| US11925498B2 (en) | Reconstructing image | |
| US20140125978A1 (en) | Film Thickness, Refractive Index, and Extinction Coefficient Determination for Film Curve Creation and Defect Sizing in Real Time | |
| CN117849891B (en) | Online detection method and system for rays | |
| CN110390793B (en) | Detector focusing method and detector | |
| CN110675361B (en) | Method and device for establishing video detection model and video detection | |
| JP2020042029A (en) | Detection method for obstacle speed, detection device for obstacle speed, computer device, storage medium and vehicle | |
| CN111784750A (en) | Method, device and equipment for tracking moving object in video image and storage medium | |
| Peters et al. | Plumetrack: Flux calculation software for UV cameras | |
| CN114971436B (en) | Equipment contribution calculation method and device in radar intelligence networking fusion | |
| US20220074849A1 (en) | Spectrometer using multiple light sources | |
| Irvine et al. | Video image quality analysis for enhancing tracker performance | |
| CN115631143A (en) | Laser point cloud data detection method and device, readable storage medium and terminal | |
| CN118129658B (en) | Method and system for positioning influencing object based on X-ray in pipeline | |
| Gaël et al. | On the impact of correlations on the congruence test: a bootstrap approach: Case study: B-spline surface fitting from TLS observations | |
| Roßbach et al. | Certified Control for Train Sign Classification | |
| CN115015957A (en) | Laser reflection tomography quality evaluation method based on modulation transfer function | |
| CN113050103A (en) | Ground detection method, device, electronic equipment, system and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |