WO2012129704A1 - Procédés et systèmes de visualisation quantitative de rayonnement cerenkov - Google Patents

Procédés et systèmes de visualisation quantitative de rayonnement cerenkov Download PDF

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Publication number
WO2012129704A1
WO2012129704A1 PCT/CA2012/050206 CA2012050206W WO2012129704A1 WO 2012129704 A1 WO2012129704 A1 WO 2012129704A1 CA 2012050206 W CA2012050206 W CA 2012050206W WO 2012129704 A1 WO2012129704 A1 WO 2012129704A1
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Prior art keywords
image
processor
fuel
region
sensor device
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Inventor
Bhaskar Sur
Vinicius N. P. ANGHEL
James Johnston
Toban VERDUN
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Atomic Energy of Canada Ltd AECL
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Atomic Energy of Canada Ltd AECL
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Priority to CA2831826A priority Critical patent/CA2831826A1/fr
Priority to EP12764672.7A priority patent/EP2691792A4/fr
Publication of WO2012129704A1 publication Critical patent/WO2012129704A1/fr
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01T—MEASUREMENT OF NUCLEAR OR X-RADIATION
    • G01T1/00—Measuring X-radiation, gamma radiation, corpuscular radiation, or cosmic radiation
    • G01T1/16—Measuring radiation intensity
    • G01T1/22—Measuring radiation intensity with Cerenkov detectors
    • G—PHYSICS
    • G21—NUCLEAR PHYSICS; NUCLEAR ENGINEERING
    • G21C—NUCLEAR REACTORS
    • G21C17/00—Monitoring; Testing ; Maintaining
    • G21C17/06—Devices or arrangements for monitoring or testing fuel or fuel elements outside the reactor core, e.g. for burn-up, for contamination
    • G21C17/063—Burn-up control
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E30/00—Energy generation of nuclear origin
    • Y02E30/30—Nuclear fission reactors

Definitions

  • This specification relates to methods of and systems for quantitatively determining the radioactivity of objects, including, for example, irradiated fuel bundles of nuclear reactors.
  • Cerenkov radiation is electromagnetic radiation emitted when a charged particle passes through a dielectric medium at a speed greater than the phase velocity of light in that medium.
  • used nuclear fuel bundles emanate Cerenkov light, and the intensity of the blue glow is related to level of radioactivity of each fuel bundle.
  • the Cerenkov radiation being emitted from the fuel can provide an indication of how long the fuel was irradiated inside the nuclear reactor core (burn-up), and how long it has been out of the core (cooling time).
  • a method of viewing Cerenkov radiation being emitted from an object can include: obtaining at least one image of the object; and calculating an intensity value for at least a portion of the image.
  • the method can further include, prior to the step of calculating, defining a region of interest within the image, and wherein the step of calculating includes calculating an intensity value for the region of interest.
  • the step of defining can include cropping the image.
  • An external area of the image relative to the object can be cropped.
  • An internal area of the image relative to the object can be cropped.
  • the method can further include, prior to the step of calculating, examining the image and correcting for at least one of noise, underexposure and overexposure.
  • the method can further include, prior to the step of calculating, calibrating the image by adjusting pixel values.
  • the pixel values can be adjusted based on exposure time and gain settings used in the step of obtaining the image.
  • the step of calculating can include summing pixel values for the portion of the image to yield the intensity value.
  • the method can further include, prior to the step of calculating, applying a mask to isolate a section of the image.
  • the step of applying can include selecting pixels having an intensity of greater than a predetermined amount of a maximum intensity.
  • the predetermined amount can be about 20%.
  • the step of applying can include selecting pixels within an external region of the object, and the step of calculating can include summing pixel values for the external region.
  • the step of applying can include selecting pixels within an internal region of the object, and the step of calculating can include summing pixel values for the internal region.
  • the step of applying can include determining a tilt angle of the object relative to an optical axis, and correcting the intensity value based on the tilt angle.
  • the method can further include determining radioactivity of the object based on the intensity value.
  • the step of determining can include correlating a decay heat value for the object based on the intensity value.
  • the step of obtaining can include receiving an image signal from an image sensor device.
  • the step of obtaining can include viewing the object through an image intensifier device coupled to the image sensor device.
  • the method can further include, prior to the step of obtaining, mounting the image sensor device generally at an image plane of the image intensifier device.
  • the step of obtaining can include storing a plurality of images of the object encoded in the image signal into a memory.
  • the step of obtaining can include displaying images encoded in the image signal on a viewfinder.
  • the step of obtaining can include viewing the object through a UV filter.
  • the object can include at least one nuclear fuel bundle.
  • the object can include at least one CANDU-type nuclear fuel bundle.
  • a system for viewing Cerenkov radiation being emitted from an object can include: a lens; a UV filter coupled to the lens; an image intensifier device coupled to the UV filter; and an image sensor device coupled to the image intensifier device.
  • the image sensor device can be mounted generally at an image plane of the image intensifier device.
  • the image sensor device can include a charge-coupled device (CCD).
  • CCD charge-coupled device
  • the image sensor device can include an active pixel sensor.
  • the image sensor device can include a complementary metal- oxide-semiconductor (CMOS) sensor.
  • CMOS complementary metal- oxide-semiconductor
  • the UV filter can be configured to selectively pass wavelengths associated with Cerenkov radiation.
  • the UV filter can have a pass-band of between about 300 nm and 330 nm.
  • the system can further include a processor coupled to the image sensor device, and configured to receive an image signal from the image sensor device.
  • the system can further include a memory coupled to the processor, and configured to store a plurality of images of the object encoded in the image signal.
  • the image signal can be a digital signal.
  • the digital signal can be encoded using Serial Digital Interface protocol or Camera Link protocol.
  • the system can further include a viewfinder coupled to the processor, and configured to display images encoded in the image signal.
  • the system can further include an accelerometer coupled to the processor, and configured to detect motion of the system.
  • the processor can be configured to compensate for blurring of the object induced by the motion.
  • the system can further include an audio recorder coupled to the processor, and configured to record an audio note associated with an image encoded in the image signal.
  • the processor can be configured to calculate an intensity value for at least a portion of an image encoded in the image signal.
  • the processor can be configured to crop the image to define a region of interest, and the intensity value is calculated for the region of interest.
  • the processor can be configured to examine the region of interest and correct for noise, underexposure or overexposure.
  • the processor can be configured to calibrate the region of interest within the image by adjusting pixel values based on exposure time and gain settings of the image sensor device.
  • the processor can be configured to calculate the intensity value by summing pixel values for the region of interest within the image.
  • the processor can be configured to apply a mask to isolate a section of the region of interest of the image.
  • the processor can be configured to determine a tilt angle of the object relative to an optical axis, and correct the intensity value based on the tilt angle.
  • the image intensifier device and the image sensor device can be integrated into a camera unit.
  • the lens, the UV filter, the camera unit and the processor can be integrated into a single device.
  • the system can further include a viewfinder integrated into the single device.
  • the single device can be sized and shaped to be a handheld device.
  • the single device can be battery powered.
  • FIG. 1A shows a device for viewing and recording Cerenkov radiation.
  • FIG. 1 B shows the device of FIG. 1A being used by an operator.
  • FIG. 1C is a schematic view of the device of FIG. A positioned above a nuclear fuel bundle housed underwater.
  • FIGS. 2A and 2B are side and end views, respectively, of a CANDU-type nuclear fuel bundle.
  • FIG. 3 is a flowchart illustrating method steps.
  • FIG. 4A is an end-view image of a CANDU-type nuclear fuel bundle, showing Cerenkov radiation.
  • FIG. 4B is an image of the nuclear fuel bundle of FIG. 4A, and in which areas have been cropped to define a region of interest.
  • FIG. 5A is a normalized cumulative histogram of pixel values for
  • FIG. 4B is a diagrammatic representation of FIG. 4B.
  • FIG. 5B is a plot of average pixel intensity versus shutter speed and gain.
  • FIG. 6A shows a user interface displaying the image of FIG. 4B, and in which centers of fuel pins around an outside ring of the fuel bundle are selected.
  • FIGS. 6B, 7A and 7B show the image of FIG. 4B, and in which masks have been applied to show selected regions.
  • FIG. 8A shows a user interface displaying the image of FIG. 4B, and in which centers of fuel pins around an inner ring of the fuel bundle are selected.
  • FIG. 8B is a schematic, side, sectional view of a nuclear fuel bundle.
  • FIGS. 9A and 9B are plots of decay heat versus integrated intensity values.
  • FIG. 10 is a plot of relative intensity versus cooling time for different fuel bundles.
  • FIGS. 11 A, 1 1 B and 11 C are end-view images of other nuclear fuel bundles, showing Cerenkov radiation.
  • FIG. 12A and 12B are schematic and perspective views, respectively, of a system.
  • a manual Cerenkov viewing device can be used to view the
  • a manual viewing device can take the form of a hand-held unit that includes an image intensifier tube to amplify the weak Cerenkov emission from the spent fuel, and an ultraviolet (UV) pass filter to permit operation with the room lights on.
  • a cooled, UV, charge-coupled device (CCD) camera can be used to obtain digital images of the Cerenkov radiation.
  • qualitative assessments with a manual Cerenkov viewing device or the cooled, UV, CCD camera do not provide quantitative information about the burn-up/cooling time of used fuel.
  • Quantitative information about burn-up and cooling time can be useful for researchers, operators, and nuclear non-proliferation agencies.
  • researchers may need to determine how much irradiation the fuel has undergone during in-reactor tests.
  • Operators may need to verify the irradiation history of fuel to ensure that it is used in compliance with regulatory and operating limits.
  • Nuclear non-proliferation enforcement agencies e.g., the International Atomic Energy Agency
  • Quantitative estimation of the gross radioactivity in the used fuel may be desirable in all three cases.
  • Methods that can be used for quantitative determination of used nuclear fuel burn-up/cooling time include: (i) a sample of used fuel can be taken to a shielded facility (a "hot-cell") where it can be counted using a highly collimated gamma-ray spectrometer; (it) a sample of used fuel can be taken to a shielded facility where it can be analyzed chemically; and (iii) a gamma-ray spectrometer or gross gamma radiation field counter can be brought in proximity to the fuel while it is stored underwater.
  • Methods (i) and ⁇ ii) tend to be intrusive and destructive processes.
  • a device 10 can be used to view and obtain images of Cerenkov radiation being emitted from an object, which can be, for example, an irradiated nuclear fuel bundle stored underwater in a spent fuel bay.
  • the device 10 includes a lens 12, which can be, for example, a 105 mm refractive or a 250 mm catadioptic (mirror-lens combination) lens.
  • the lens 12 is coupled to a UV band-pass filter 14 that is configured to suppress ambient visible light.
  • the filter 14 is coupled to a UV-optimized image intensifier 16.
  • the image intensifier 16 can consist of a UV sensitive photocathode, a micro-channel plate and a phosphor viewing screen that amplifies the collected and focused UV light and presents an image in the visible spectrum.
  • the image intensifier 16 is coupled to a camera device 18.
  • the lens 12, the filter 14, the intensifier tube 16 and the camera device 18 can all be aligned along an optical axis 19.
  • FIG. 1 B shows the device 10 being used by an operator to obtain an image.
  • FIG. 1 C shows positioning of the device 10 along a bridge 20, above a fuel bundle 22 housed underwater in a storage bay 24.
  • a CANDU-type nuclear fuel bundle 26 can include a plurality of elongate and generally cylindrical fuel pins 28a, 28b, 28c, 28d (in this case, thirty seven fuel pins) arranged radially about a longitudinal axis 30 of the fuel bundle 26.
  • the fuel bundle 26 can include three outer concentric rings of the pins (inner pins 28a, intermediate pins 28b and outer pins 28c) surrounding a center pin (28d). Ends of each of the fuel pins 28a, 28b, 28c, 28d can be welded or otherwise fixed to end plates 32.
  • FIG. 3 illustrates an example of a method 100 of viewing Cerenkov radiation being emitted from a fuel bundle.
  • step 102 of the method 100 at least one image is obtained of the fuel bundle, using, for example, the device 10 of FIG. 1A.
  • image analysis 104 of the at least one image obtained in step 102 can include a number of separate steps.
  • the images obtained at step 102 and subjected to image analysis 104 can be 8-bit greyscale images, i.e., a two-dimensional array of numbers or pixels, where the value of each pixel ranges between 0 (black) and 255 (white).
  • the analyzed portion of each image can consist of an array of approximately 150 x 150 pixels, for example.
  • the fuel bundle is considered to be the only source of Cerenkov radiation captured in the image.
  • the image is formed by Cerenkov radiation from the fuel bundle, readout noise and dark current from the camera, as well as reflected and scattered light from the fuel bundle and from ambient incandescent lights.
  • the object of the analysis 104 is to distinguish and measure the intensity of the image component caused by direct Cerenkov radiation from the fuel bundle, in the presence of interference from reflection, scattering and ambient light sources (including other fuel bundles).
  • the methodology of the image analysis 104 can address the following issues, which are each described in greater detail further below.
  • the greyscale pixel values may not scale linearly with the light intensity integrated over exposure time.
  • the greyscale dependence on exposure can be linear for small values of exposure, and tends to an asymptotic value of 255 with increasing exposure. Noise can obscure the dependence for small values of the exposure. Accordingly, calibration can be carried out to meaningfully compare images containing different combinations of fuel bundle, ambient light sources, gain settings and camera exposure times.
  • the position, orientation, and tilt angle of the fuel bundle of interest can be deduced from the image, and used to correct the measured intensities corresponding to the fuel bundle.
  • FIG. 4A shows an example of a greyscale image with appropriate exposure, and with no irrelevant objects close to a fuel bundle of interest 26.
  • the fuel bundle 26 can be seen in the center of the image.
  • the fuel bundle 26 is tilted, i.e. tilted relative to the optical axis 19 of the device 10 shown in FIG. 1A, so that a small crescent of Cerenkov radiation glow 58 is seen adjacent to the lower left of the fuel bundle.
  • a relatively intense Cerenkov radiation glow 72 can be seen between the pins in the fuel bundle 26.
  • a reflection 60 which is a spurious feature as far as present analysis is concerned, can be seen on the image at a distance from the fuel bundle 26 on the lower left side, coming from the support of the fuel bundle 26.
  • a region of interest (ROI) of the image containing the fuel bundle and its Cerenkov radiation glow can be defined by cropping the image. Cropping can eliminate the large expanse of black that can be present in the image, which generally contains no useful information. Cropping can also eliminate many irrelevant features, such as the reflection 60 seen at the lower left side of FIG. 4A.
  • Step 106 can be done automatically by processing software carrying out the image analysis 104, or manually by an operator analyzing and selecting areas of an image to be cropped, or a combination of automatic and manual interaction.
  • an external area of the image relative to the object can be cropped.
  • the ROI can be established by first defining an outer circle approximately twice the radius of the fuel bundle, concentric with the circular outline of the fuel bundle endplate. The factor of two was selected by the inventors empirically to capture the direct glow from the fuel bundle and provide room for the slight elliptical outline of the endplate and Cerenkov radiation glow, which results from the fuel bundle not being perfectly aligned with the optical axis of the device. The image is thereby cropped so that all data outside of the outer circle area is eliminated from the image.
  • an internal area of the image relative to the object can also be cropped.
  • the central pin may be removed in some situations so that the bundle can be threaded onto a stringer.
  • a handling fixture can be mounted through the central opening presented by the missing center pin.
  • the handling fixture can reflect ambient bay lighting, creating features in the image that are not attributable to Cerenkov radiation.
  • the ROI can be further refined by defining an inner circle approximately equal in radius to the circular region containing the inner pins 28a, adjacent to the intermediate pins 28b (see F!G. 2B).
  • FIG. 4A The cropped image corresponding to FIG. 4A is shown in FIG. 4B, in which an external area 62 and an internal area 64 relative to the fuel bundle 26 are cropped.
  • the image in step 108 of the method 100, can be examined for anomalies that affect its quality, such as noise, underexposure and overexposure. Overexposure results in saturation and subsequently to underestimation of the brightness of the Cerenkov radiation glow. Overexposure, underexposure and noise can increase the uncertainty in the results.
  • Step 108 can be done automatically by processing software carrying out the image analysis 104, or manually by an operator examining an image, or a combination of automatic and manual examination.
  • images suffering from noise, underexposure or overexposure can be adjusted or discarded from the image analysis 104.
  • a cumulative histogram of the greyscale obtained from the cropped ROI of the image, can be used as a tool for step 108.
  • the plot in FIG. 5A shows a normalized cumulative histogram of the greyscale pixel values for FIG. 4B. The portions outside the ROI are not considered in constructing the cumulative histogram.
  • the plot indicates that the pixel values are distributed between approximately 25 and 175 (on a scale from 0 to 255). None of the pixels are brighter than 175, confirming that the image is not overexposed. The median brightness is approximately 70, indicating that the image is not underexposed. Thus, the image in FIG. 4B is considered suitable for further analysis.
  • a calibration scaling function can be obtained in order to compare images of different fuel bundles, ambient light sources, camera gain settings and camera exposure times.
  • gain refers to an amplification factor of the intensity generated by the image intensifier 16.
  • the greyscale pixel values may not scale linearly with the light intensity integrated over exposure time.
  • a saturation curve can exist for each pixel, in which the greyscale dependence on exposure can be linear for small values of exposure, and can tend to an asymptotic value of 255 with increasing exposure. Noise can obscure the dependence for small values of the exposure. Accordingly, in step 1 10 of the method 100, pixel values within the ROI of the image can be linearized according to the saturation curve.
  • calibration can be performed in step 1 10 of the method 100 by examining a set of images of one fuel bundle in one fixed position and orientation, taken over a range of gain settings and exposure times. For each gain setting, a least squares fit can be used to fit a function of the greyscale to exposure time correspondence for the set of images.
  • the result can be a calibration scaling function, which is dependent on gain, exposure and greyscale pixel value, that can then be used to convert the linearized greyscale image into a calibrated image with an objective intensity by transforming the greyscale value for each pixel to a calibrated value for the given shutter speed and gain factor, valid up to a multiplicative constant.
  • the constant can be the same for all the images in a set of images.
  • the result for the image is that each pixel contains a calibrated value that is not constrained to be between 0 and 255. This allows comparison of images taken with different exposures and gain settings.
  • a relationship is shown derived by analyzing multiple images of the same object taken in the same position with a range of exposure times and gain settings. Using this relationship, pixel values can be adjusted to calibrated values.
  • a mask can be applied to the image to isolate a section of the region of interest of the image.
  • Application of the mask can begin by determining the direction in which the fuel bundle is tilted. In this example, which is dependent upon the end structure of the fuel bundle 26 as shown in FIG. 2B, to establish a tilt angle, the position of at least seven of the eighteen pin centers in the outer ring can be identified in order to trace the elliptical shape of the outer ring. For example, as shown in FIG. 6A, an operator can manually select the pin centers of the fuel bundle 26 in the image by adjusting the position of a selection tool 66 through a user interface 68.
  • a mask can be created by selecting all pixels within the ROI having a calibrated intensity of greater than a predetermined amount of the maximum calibrated intensity for the image.
  • the masked fuel bundle 26a is shown in FIG. 6B, and in this case the predetermined amount is 20%.
  • the masked fuel bundle 26a includes the crescent of Cerenkov radiation glow 58 and the Cerenkov radiation glow 72 between the pins.
  • the image can be truncated to select only those pixels between parallel lines 70 that are tangential to the endplate ellipse, and on the side to which the fuel bundle is tilting.
  • the mask can be further refined to eliminate the fuel bundle and spaces within it, based on the endplate geometry and fuel pin arrangement.
  • a mask can be applied to eliminate all but the light between the outer rings and the first intermediate ring.
  • the internally masked fuel bundle 26c is shown in FIG. 7B, which includes only the Cerenkov radiation glow 72 between the pins.
  • This mask can be based on the geometry of the endplate and fuel pin arrangement, and can be constructed, at least in part, by dimensions and positions of the internal pins, either inputted by an operator by adjusting the position of a selection tool 66 through the user interface 68, as shown in FIG. 8A, or identified automatically by processing software carrying out the image analysis 104.
  • Step 1 14 of the method 100 consists of summing the pixel values for the masked image to yield an intensity value.
  • two integrated light levels can be calculated.
  • the first is the integral of the Cerenkov radiation produced in an external, selected region of the fuel bundle, which is referred to as the external integral.
  • the region is defined to improve the signal to noise ratio and eliminate extraneous reflections, objects and other items that could affect the results.
  • the second integrated light level is the integral of the Cerenkov radiation produced in an internal, annular region between the outermost two rings of pins in the bundle, which is referred to as the internal integral.
  • an integral can provide a total external intensity value for the image that can be compared with the corresponding intensity value of other images, and can be preferred over the internal integral because it is generally independent of the tilt angle of the fuel bundle. Calculating an external integral, an integral, or a combined external and internal integral can yield an intensity value for the image that can be correlated to the irradiation and cooling histories of the fuel bundle.
  • the internal integral can have a strong dependence on tilt angle, which can be defined as the angle between the optical axis 19 of the viewing device 0 and the fuel bundle longitudinal axis 30, because the amount of the Cerenkov radiation obscured by the fuel pins 28 increases with the tilt angle. Unless the tilt angle is zero, the fuel pins 28 can obscure part of the Cerenkov radiation between the fuel pins.
  • tilt angle is not a consideration.
  • the internal integral can be calculated by first calculating the angle at which the bundle is tilted. This can be a geometric calculation that can be carried out, for example, by comparing the position of the centroid of the region having an intensity greater than 20% of the maximum intensity in the image to the position of the center of the fuel bundle endplate.
  • Cerenkov radiation travels in a direction 34 from the fuel bundle 26 to a viewing device (not shown).
  • a visible fraction 38 of a volume 36 between the outer and intermediate rings of fuel pins 28 can be recognized and used to correct for the tilt angle. The correction assumes that the Cerenkov radiation is angularly isotropic (i.e. its emission intensity it is not dependent on its direction), uniformly distributed in the volume 36 between the rings of the fuel pins 28, and that the length of the fuel bundle 26 is small compared to the distance between the bundle and the observer.
  • steps in the analysis 104 of the method 100 can yield improved results. For example, if a fuel bundle is relatively difficult to see in an image, brightness and contrast of the image can be enhanced. Further, as described herein, the image can be examined for anomalies that can affect the ability to take all of the pixels in the image that contain useful information and could interfere with measuring the light intensity, and external items that do not include the Cerenkov radiation glow can be removed. As described herein, through a user interface, an operator can manually select a spurious feature for cropping to refine the ROI.
  • Pixel brightness for the selected, cropped area can be set to black, below the threshold for the mask, ensuring that the extraneous bright areas are not included in calculating the external integral.
  • the raw greyscale image can then be converted to a calibrated image, one or more masks can be generated, and the total light intensity in the masked region(s) of the image can be calculated, as described herein.
  • the inventors imaged five CANDU-type natural uranium bundles.
  • the characteristics of the five CANDU- type fuel bundles are given in Table .
  • the bundles were imaged in the end- on position, at an underwater location at a 15 foot water depth in a clear area of the storage bay floor, with the device 10 either mounted on a fixed tripod, or hand-held. Some of the images of the dimmest bundle, taken with underwater bay lights on, were not found to contain any discernable information.
  • the ing images were analyzed in accordance with the methods described
  • Table 1 Imaged CANDU-type nuclear fuel bundles.
  • FIG. 9A shows results of external integrated intensity values from the images, calculated according to the methods described herein.
  • FIG. 9B shows the internal integrated intensity values.
  • FIGS. 9A and 9B demonstrate that the measured intensity of Cerenkov radiation can be correlated approximately to the calculated decay heats of the bundles.
  • decay heat and Cerenkov radiation are both caused by the decay of radioactive nuclides produced by fission.
  • Decay heat can be defined generally as the sum total of all the radioactive decay energy in the fuel (minus the energy carried away by neutrinos), whereas Cerenkov radiation is produced by high-energy electromagnetic radiation that escapes from the fuel pins. Therefore, the contribution of specific radionuclides, each of which can produce different types and amounts of energy per decay and can have different radioactive decay rates, to decay heat and to Cerenkov radiation can be different.
  • Cerenkov radiation in water is the result of electrons with velocities greater than the speed of light in water.
  • the minimum kinetic energy of such electrons is approximately 0.262 MeV. All electrons with energy greater than this minimum or threshold energy produce Cerenkov radiation as they travel in water. As the electrons lose energy by ionization and scattering, they slow down, and stop producing Cerenkov radiation when their kinetic energy drops below the threshold energy.
  • the total number of Cerenkov photons produced by a high-energy electron is essentially proportional to its total path-length in water before it drops below the threshold energy.
  • the rate of Cerenkov photon production in water is roughly 200 photons of 400 nm wavelength per cm of electron path length, where 1 cm path length corresponds approximately to a 2 MeV electron.
  • Certain radionuclides produce energetic electrons directly by ⁇ - decay.
  • Gamma radiation from radioactive decay can also give rise to Cerenkov radiation because energetic gamma rays can produce electrons and positrons with energies above the Cerenkov threshold.
  • Gamma-rays give rise to energetic electrons by Compton scattering from atomic electrons in the fuel, fuel pins, and in water.
  • the minimum gamma-ray energy required to produce an electron with 0.26 MeV is 0.51 MeV.
  • Gamma-rays with energies above 1.022 MeV can directly produce electrons and positrons by pair production.
  • These sources of energetic electrons in the vicinity of irradiated fuel pins can be generally classified into three categories: ⁇ i) electrons produced by ⁇ -decay inside the fuel, with enough energy to exit the fuel pin (since the range of electrons is limited, the sources of such external electrons are necessarily relatively close to the surface of the fuel and do not penetrate the cladding); (ii) electrons produced by ⁇ -ray interactions in the fuel pin material itself (while the primary ⁇ -rays can originate from deep inside the fuel, the sources for the secondary electrons that escape the fuel must again be close to the surface of the fuel and do not penetrate the cladding); and (iii) electrons produced by ⁇ -rays that exit the fuel pin and interact directly in the water surrounding the fuel pin.
  • the inventors have determined the relative Cerenkov radiation intensities for five fuel bundles with assumed identical geometry, and well-documented, diverse burn-up/cooling time histories. If it is assumed that the Cerenkov intensity is dominantly produced by the decay of a few (for example, 3 or 4) radionuclides with widely different half-lives, then the five data-points allow the extraction of relative contributions of each of the isotopes. The assumption of widely different half-lives can allow a reasonable fit over the wide range of burn- up/cooling time histories and also can ensure numerical stability.
  • f,- is the fractional yield per fission, i.e., the fission yield, and T, is the mean life of radionuclide /. If the Cerenkov radiation yield from radionuclide / is taken to be ⁇ 3 ⁇ 4, then the total relative Cerenkov radiation emission is given by:
  • the inventors have experimentally obtained five different values of relative Cerenkov radiation yield for the fuel bundles, where the relative activities, A can be estimated independently for each bundle.
  • the relative Cerenkov yield weighting factors, c, can be extracted for up to four different radionuclides by simultaneously solving the five equations obtained by applying Equation (2) to each bundle.
  • the simultaneous equations can be solved by iteratively fitting the c, values to minimize the total square error between the measurements and the fitted values of the relative Cerenkov yields.
  • Equation (1 ) The integral of Equation (1 ) can be numerically evaluated as follows.
  • Table 3 provides the experimentally measured and fitted external integrated intensities from the above procedure.
  • Table 4 gives some details of the individual nuclide activities calculated from the irradiation histories, and the fitted relative contribution of each nuclide to the total measured intensity.
  • the relative Cerenkov radiation intensity for CANDU-type bundles with different burn-ups and cooling times is plotted in FIG. 10.
  • the power level is adjusted to give the desired burn-up.
  • the activity of each of the three nuclides, X, 134 Cs, and 3 7 Cs, is followed during and after the irradiation.
  • the Cerenkov radiation intensity is calculated using the relative weighting factors ratio of Equation (4).
  • the units of relative intensity in FIG. 10 are the same as the external integrated intensity used for fitting the nuclide ratio described above.
  • a typical measurement point was shown to have a relative error bar of about 10%.
  • the "detection limit" is based on using 10% of the intensity of the dimmest bundle imaged.
  • the detection limit is assumed to be the point at which the absolute error is approximately equal to the value of the quantity being measured.
  • the detection limit increases as the sensitivity of the measurement decreases.
  • the detection limit will vary depending on the conditions under which a particular set of bundles is imaged. In particular, the detection limit will be higher than shown in FIG.
  • the fuel bundles are: (i) imaged at a depth of more than 15 feet under water; (ii) imaged with a smaller lens (e.g., 105 mm); or (iii) imaged under adverse conditions of ambient lighting and interfering reflectors, scatterers, sources, and UV absorption in the water.
  • a smaller lens e.g., 105 mm
  • imaged under adverse conditions of ambient lighting and interfering reflectors, scatterers, sources, and UV absorption in the water are: (i) imaged at a depth of more than 15 feet under water; (ii) imaged with a smaller lens (e.g., 105 mm); or (iii) imaged under adverse conditions of ambient lighting and interfering reflectors, scatterers, sources, and UV absorption in the water.
  • accuracy of measurement is lower at low Cerenkov radiation levels, so the useful range over which measurements can be made may be limited by requirements for accuracy.
  • the quantitative intensity measurements described herein, and the decay heat estimations based thereon can be relative in the sense that they may depend on the conditions that exist when images of a fuel bundle are obtained. For example, water quality in the storage bay, quantum efficiency of the filters and sensors of the device used to view and obtain the images, and the optical path length from the fuel bundle to the device, are all conditions which may affect intensity measurements. Thus, it may be useful to position a source of Cerenkov radiation or UV light, whose intensity is known a priori, in the storage bay to serve as an objective comparator.
  • a radioactive source e.g., Cobalt-60
  • a source of UV light having an intensity that is known or can be measured (and placed alongside the fuel bundle at the bottom of the storage bay, or positioned above the bay and directed downwardly to reflect UV light back to the bridge)
  • the intensity of the known source can be compared to the intensity of Cerenkov radiation being emitted from the fuel bundle, to derive an objective intensity for the fuel bundle.
  • FIG. 1 1A shows Cerenkov radiation being emitted from a PWR-type fuel bundle.
  • FIG. 11 B shows Cerenkov radiation being emitted from a BWR-type fuel bundle.
  • FIG. 11 C shows Cerenkov radiation being emitted from a WER-type fuel bundle.
  • the methodology of the image analysis 104 described above can be adapted to quantitatively measure the intensity of Cerenkov radiation being emitted from these different structures, and utilize the intensity as a basis for estimation of the radioactive decay heat.
  • masks suitably configured to the different fuel bundle configurations could be used, and these may comprise rectangular or square masks for isolating external and internal regions of the bundles.
  • FIGS. 12A and 12B illustrate an example of a system 200 for viewing Cerenkov radiation being emitted from an object.
  • the system 200 includes a lens 212, which can be, for example, a 105 mm refractive or a 250 mm catadioptic lens (mirror-lens combination to capture and focus the Cerenkov radiation), both of which can be generally compatible with UV frequencies of light.
  • the lens 212 can be coupled to a UV band-pass filter 214 that is configured to suppress ambient visible light.
  • the filter 214 is configured to selectively pass wavelengths associated with Cerenkov radiation, to reduce the contribution of other sources of light when viewing the fuel bundles.
  • the filter 214 can have a pass-band of between 300 nm and 330 nm.
  • the system 200 includes a camera unit 240 that is coupled to the lens 212 and the UV filter 214.
  • the camera unit 240 includes an image intensifier device 242 and an image sensor device 244.
  • the image intensifier 242 can consist of a UV sensitive photocathode, a micro-channel plate and a phosphor viewing screen that amplifies the collected and focused UV light and presents an image in the visible spectrum.
  • the image sensor device 244 can consist of a CCD, or an active pixel sensor, for example, a complementary metal-oxide-semiconductor (CMOS) sensor.
  • CMOS complementary metal-oxide-semiconductor
  • the image sensor device 244 can be mounted generally at an image plane of the image intensifier device 242, to receive and record images of the object via the lens 212 and the UV filter 214.
  • This arrangement of the image sensor device 244 directly at the output of the image intensifier device 242 means that images of the object can be transmitted from the lens 212 to the image sensor device 244 generally in focus, and can render the use of one or more relay lenses unnecessary.
  • a PHOTONISTM ICUTM device intensified camera unit; for example, models PP03000AE, PP0300AP or variations thereof may be suitable
  • the camera unit 240 can be implemented as the camera unit 240.
  • the system 200 further includes a processor 246 coupled to the image sensor device 244 of the camera unit 240.
  • the processor 246 is configured to receive an image signal from the image sensor device 244, with images of the object encoded therein.
  • the image signal conveyed to the processor 246 can be a digital signal, and can be encoded, for example, using Serial Digital Interface protocol or Camera Link protocol.
  • the processor 246 can be configured to serve various functions. First, for example, the processor 246 can be configured to convert the image signal into a format that can be shown in a viewfinder of a display 248, providing a means for an operator to view images of the object, which can be either still images, or a "real time" view of the object, or both.
  • a viewfinder of the display 248 can be a digital viewfinder.
  • a LITEYETM LE 600TM display can be implemented as the display 248.
  • the processor 246 can be configured to convert the image signal into still images that can be further analyzed and/or stored into a memory 250, which can be, for example, a flash memory.
  • the processor 246 can be configured to receive input from the operator through a user input 252 to control the operation of the camera unit 240, among other things.
  • the user input 252 can consist of, for example, a keypad or a touchscreen.
  • the processor 246 can be configured, with a suitable suite of software, to carry out the image analysis 104 functionality described above in relation to FIG. 3.
  • the system 200 can further include an accelerometer 254 coupled to the processor 246.
  • the accelerometer 254 can be configured to detect motion of the system 200, and the processor 246 can be configured to compensate for any blurring of the object that is induced by the motion.
  • the system 200 can yet further include an audio recorder 256 coupled to the processor 246, which can be configured to record an audio note associated with the images of the object as they are being obtained.
  • the components of the system 200 can be integrated into a single device, which can be sized and shaped to be a handheld device.
  • the system 200 can include at least one handle 258.
  • the system 200 can be battery powered for portability and ease of use.

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  • High Energy & Nuclear Physics (AREA)
  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
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  • Spectroscopy & Molecular Physics (AREA)
  • Plasma & Fusion (AREA)
  • General Engineering & Computer Science (AREA)
  • Monitoring And Testing Of Nuclear Reactors (AREA)

Abstract

L'invention concerne un procédé de visualisation quantitative de rayonnement Cerenkov émis par un objet, consistant à obtenir au moins une image de l'objet et à calculer une valeur d'intensité pour au moins une partie de l'image. Une région d'intérêt peut être définie dans l'image et une valeur d'intensité peut être calculée pour la région d'intérêt. L'invention concerne également un système de visualisation d'un rayonnement Cerenkov émis par un objet comprenant une lentille, un filtre UV, un intensificateur d'image et un capteur d'image.
PCT/CA2012/050206 2011-03-30 2012-03-30 Procédés et systèmes de visualisation quantitative de rayonnement cerenkov Ceased WO2012129704A1 (fr)

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CA2831826A CA2831826A1 (fr) 2011-03-30 2012-03-30 Procedes et systemes de visualisation quantitative de rayonnement cerenkov
EP12764672.7A EP2691792A4 (fr) 2011-03-30 2012-03-30 Procédés et systèmes de visualisation quantitative de rayonnement cerenkov

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US201161469569P 2011-03-30 2011-03-30
US201161469578P 2011-03-30 2011-03-30
US61/469,578 2011-03-30
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RU2141092C1 (ru) * 1998-03-24 1999-11-10 Шарыпкин Александр Петрович Ручное оружие с электроуправлением, корпус оружия, подвижный ствол оружия
US11169282B2 (en) 2016-09-07 2021-11-09 Atomic Energy Of Canada Limited / Énergie Atomique Du Canada Limitée Detection apparatus and method
CN120907436B (zh) * 2025-10-09 2026-02-03 中国核动力研究设计院 重水堆燃料棒束水下尺寸测量系统和测量方法

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GB2163252A (en) 1984-08-15 1986-02-19 Atomic Energy Authority Uk Monitoring of activity in remote environments
EP1112459A1 (fr) 1998-07-20 2001-07-04 Ofil Ltd. Camera et appareil de prise de vue de rayonnement ultraviolets aveugle a la lumiere solaire -
GB2426325A (en) 2005-05-21 2006-11-22 Secr Defence Beta radiation detector

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GB2163252A (en) 1984-08-15 1986-02-19 Atomic Energy Authority Uk Monitoring of activity in remote environments
EP1112459A1 (fr) 1998-07-20 2001-07-04 Ofil Ltd. Camera et appareil de prise de vue de rayonnement ultraviolets aveugle a la lumiere solaire -
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CASTELLANO ET AL.: "A multiresolution noise-removal algorithm for visual pattern recognition in imaging detectors", COMPUTER PHYSICS COMMUNICATIONS, vol. 66, no. 2-3, October 1991 (1991-10-01), pages 293 - 307, XP024466046 *
E. M. ATTAS ET AL.: "A Cerenkov viewing device for used-fuel verification", NUCLEAR INSTRUMENTS AND METHODS IN PHYSICS RESEARCH SECTION A: ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT, vol. 299, no. 1-3, 1 December 1990 (1990-12-01), pages 88 - 93, XP055129284, DOI: doi:10.1016/0168-9002(90)90753-S
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EP2691792A1 (fr) 2014-02-05
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