• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    The invention relates to an assembly and a detection method for the identification and tracking of one or more clouds in an area of the sky observed from the ground. According to the invention, the following steps are carried out: a) collecting at least a portion of the thermal infrared flows emitted in said observed sky zone and sending them to at least one thermal infrared detector (12), said at least one detector (12) ) thermal infrared having at least one sensor responsive to said flow in a determined wavelength band, b) performing at least one measurement of the actual temperature and relative humidity of the air at ground level and deduce therefrom vertical distribution of temperature and water vapor; c) simulating or obtaining the data set relating to the thermal infrared signal emitted by a reference sky for the said vertical distribution of temperature and water vapor thus deduced, d. subtract from the set of data measured by said at least one sensor, the set of data thus simulated or obtained so as to determine the presence or absence of one or more clouds in the the sky observation zone, e) treat all the data thus obtained to calculate the optical thickness and / or the altitude of each cloud in said sky observation.
    公开号:FR3026496A1
    申请号:FR1459124
    申请日:2014-09-26
    公开日:2016-04-01
    发明作者:Clement Bertin；Sylvain Cros；Nicolas Schmutz；Olivier Liandrat；Nicolas Sebastien；Samuel Lalire
    申请人:REUNIWATT；
    IPC主号:
    专利说明:

    [0001] FIELD OF THE INVENTION Field of the Invention The present invention relates to an assembly and a method of detection for the identification, in particular by the estimation of the physical properties of clouds, and the monitoring of one or more clouds in an area of the sky under observation from the ground. It is also aimed at a process that allows the determination of real weather conditions and short-term weather predictions. Technological background The evaluation of cloud cloudiness is traditionally performed by a human observer from the ground. The outline of the horizon that the observer sees at a certain solid angle delimits the celestial vault for which this observer will evaluate the cloudiness in the esteem. For purely illustrative purposes, a so-called cloudy sky, that is to say, completely obscured by clouds, has a cloudiness estimate equal to 8 oktas. The unit of measurement for the cloudiness of the sky, the octa, corresponds to one-eighth of the celestial vault. However, the empirical nature of this estimate is today incompatible with the ever greater demands of reliability and precision required in certain fields of activity. By way of illustration, in the aeronautical field, the pilot of an aircraft must have a precise knowledge of the meteorological conditions, and especially the cloudiness of the sky, near an airport to land or take off.
    [0002] Similarly, the electricity generated by a photovoltaic power plant can be described as intermittent, because it will depend heavily on weather conditions, especially the cloudiness of the sky. Indeed, the shadow of a cloud can come to cover at least partially the photovoltaic panels of this plant actually causing a reduction of the electricity production. In order to maintain the stability of the electricity grid, the grid operator must then pilot network support tools in order to compensate for a possible drop in photovoltaic electricity production.
    [0003] For example, these support tools can be simple batteries delivering their energy on the power grid in the event of a temporary forecast decline in power generation or thermal combustion turbines in the event of a long-term decline in electricity production.
    [0004] However, the management of these support tools is not optimized today, because of a reliable and accurate forecasting tool for electricity production of photovoltaic origin. This lack of data generates direct costs (fuel consumed, aging of the installation) and indirect costs, such as the generation of 20 carbon dioxide (CO2) in case of untimely start-ups. Nevertheless, photovoltaic energy is an inexhaustible and relatively clean source of energy. Photovoltaic power plants are therefore experiencing a significant growth that will continue to grow in the coming years. Technical solutions to identify and track clouds in a region of the sky have been proposed in recent years. Thus infrared cameras used to record the infrared emission of clouds are known to determine certain characteristics such as temperature. From the latter, the altitude of the corresponding cloud is deduced. However, it is found that these measures are unreliable because they do not take into account the contribution of the atmosphere placed between the infrared camera and the cloud or clouds thus measured. However, the contribution of this atmosphere can be significant in certain ranges of wavelengths of interest.
    [0005] There is therefore a pressing need for a set and a detection method for subtracting the contribution of the atmosphere placed between the detector and the cloud or clouds to accurately identify one or more clouds in an area of the sky observed from the ground and follow up on each of them. OBJECT OF THE INVENTION The object of the present invention is therefore to propose a method and a detection assembly for identifying and tracking from the ground one or more clouds in a given sky-observation region which are simple in their design and in their operating mode, reliable and accurate. Another object of the present invention is such a detection assembly operating at night and day, robust and easy to maintain, and therefore inexpensive. Such a detection assembly thus advantageously allows automated operation in remote areas. Yet another object of the present invention is a short-term forecasting method, for example at t + 30 minutes, making it possible to determine with great accuracy the forthcoming attenuation of the sunlight on photovoltaic panels resulting from a light effect. shadow caused by one or more clouds moving towards a photovoltaic power station. Such a process would allow the electricity grid operator to have reliable information on the short-term forecast of photovoltaic power generation, and as a result to have easy management of network support tools.
    [0006] BRIEF DESCRIPTION OF THE INVENTION To this end, the invention relates to a detection method for the identification and monitoring of one or more clouds in an area of the sky observed from the ground. According to the invention, the following steps are carried out: a) collecting at least a portion of the thermal infrared flows emitted in said observed sky zone and sending them to at least one thermal infrared detector, said at least one thermal infrared detector comprising at least a sensor responsive to said flows in a determined wavelength band; b) performing at least one measurement of the actual air temperature and relative humidity at ground level and deriving the vertical distribution of the temperature and water vapor, c) simulate or obtain the data set for the thermal infrared signal emitted by a reference sky for the said vertical distribution of temperature and water vapor thus deduced, d) subtract from the total of data measured by said at least one sensor, the set of data thus simulated or obtained so as to determine the presence or absence of one or more clouds in said zone of observation of the sky, e) treat all the data thus obtained to calculate the optical thickness and / or the altitude of each cloud in said sky observation. The term "ground" means the surface of the ground, the latter being able to present a positive or negative altitude relative to the sea level, or a part such as the top, of a building or dwelling, for example a building. The method of the present invention therefore does not relate to onboard measurement devices for example on board an aircraft or a satellite.
    [0007] The evolution of the shadow of a cloud on the ground depends on its altitude, just as its impact on radiation depends on its optical thickness. The present detection method advantageously makes it possible to improve the accuracy of the forecasts by determining the optical thickness and the altitude of each cloud in the sky zone observed after subtraction from the actual measurements taken of the contribution of the atmosphere. The atmospheric radiation depending on the water vapor column (PWV = Wp) and the ground temperature (expressed as upstream flux, Ls), we can write the affine correlation function: Lsky = A x Lx Wp + B x Wp + C x Lp + D The column of water vapor is measurable by radiosonde or estimable by the relation of Reitan: Ln (W) = ax Td + b A set of thresholds is determined to segment the thermal images from ATb, the difference in brightness temperature between a reference sky and each cloud. These thresholds are estimated from the technical characteristics of the thermal infrared detector. Advantageously, the reference sky is a zone of clear sky. Preferably, sets of data relating to the thermal infrared signal emitted by this reference sky for vertical distributions of different temperature and water vapor are stored in a storage unit. These sets of data can thus be easily accessed and a set of data corresponding to the vertical distribution of temperature and water vapor deduced in step b). Alternatively, such data sets may be simulated, or calculated, by processing means including a computing unit such as a computer. Moreover, the present method makes it possible from real measurements made at ground level to deduce the vertical distribution of temperature and water vapor. These measurements of the ground temperature and of the air humidity at ground level thus advantageously make it possible to replace the knowledge of the vertical variation of the temperature and of the water vapor typically obtained by auxiliary means and complex to implement. As a purely illustrative example, the vertical distribution is generally differentiable from satellite data or from data obtained by balloon probes. This deduction of the vertical distribution of temperature and water vapor at a given location from real measurements at ground level has the required reliability. It is carried out on the basis of known data such as previously modeled atmospheric profiles derived from satellite data and probe balloons, averaged by seasons and climatic zones; stored in a storage unit and accessible to processing means comprising a computing unit such as a computer on which is installed appropriate data processing software.
    [0008] In various particular embodiments of this method, each having its particular advantages and capable of many possible technical combinations: - prior to step a), said at least one sensor of said thermal infrared detector has been calibrated by implementing a single reference surface at room temperature. It may be a black cover placed in front of the thermal infrared detector. The offset is calculated with the shutter temperature measured by a thermometer. step e) of processing all the data comprises a step of inversion of the radiative transfer model making it possible to determine the horizontal spatial distribution of the optical thickness and / or the altitude of the single cloud layer or the set of clouds in said sky observation area.
    [0009] Preferably, to calculate the optical thickness of each cloud at the wavelengths of interest, the cloud model is first determined and the radiation of each cloud is simulated according to the cloud model thus determined. The ground measurements provided by said at least one thermometer and said at least one hygrometer enable said processing means to converge to an ideal solution by a software-based processing step providing radiative transfer pattern inversion. Indeed, the vertical profiles of temperature and water vapor deduced from ground measurements during step b) are known elements of the meteorological situation. The unknown elements are the altitude and / or the optical thickness of the clouds. The inversion of the model consists in finding the ideal solution (torque: altitude, optical thickness) which minimizes the difference between the thermal infrared radiation simulated by the radiative transfer model and that measured by the sensor. In order to do this, the software providing the inversion makes the values of the torque (altitude, optical thickness) vary while keeping the values of the vertical profiles of temperature / water vapor constant. Thus, thanks to the temperature and water vapor measurements, the processing means make it possible to converge towards the ideal solution. an optical sensor defining an area for observing the sky from the ground of at least 4.6 steradians is used to determine from the texture and the color of each cloud detected by said optical sensor, the type of corresponding cloud and deduce a range of altitudes of each cloud present in said sky observation zone. This optical sensor allows prior learning by the data set processing software, clouds likely to be detected in the sky observation area which is linked to the installation site of the detection assembly. This facilitates the step e) of data processing. Preferably, the sky observation zone of at least 4.6 steradians is obtained by means of an optical sensor comprising a hypergone lens ("Fisheye"). Advantageously, this hypergone lens will have a field width of at least 150 °. As a purely illustrative example, this objective could be a circular hypergone objective having a coverage of 180 ° in all directions, thus giving a circumscribed delimited image.
    [0010] The present invention also relates to a detection assembly for implementing the method for identifying and monitoring one or more clouds in an area of the sky observed from the ground as described above, this set comprising: - a mirror having a convex or conical curved mirror surface, the surface of said mirror being facing at least one thermal infrared detector for collecting at least a portion of the thermal infrared flux emitted in said observed sky area and returning it to said at least one detector thermal infrared, - said at least one thermal infrared detector comprising at least one sensor responsive to said fluxes in a determined wavelength band, each sensor emitting measurement signals, - means for processing the signals emitted by said one or more sensors - at least one thermometer and at least one hygrometer to measure the temperature and relative humidity of the actual air s at ground level and connected to said processing means, and - said processing means for determining from these measurements the vertical distribution of temperature and water vapor to correct the contribution of the atmosphere between said set and the or the clouds.
    [0011] This detection assembly which is intended to be placed on the ground, works advantageously day and night. Night detection allows monitoring the evolution of the cloud ceiling before dawn and thus predict the evolution during the first hours of the day.
    [0012] The convex curved mirror surface can thus be a mirror surface formed spherically, elliptically or parabolically convex. A conical mirror surface advantageously makes it possible to improve the detection on very high zenith angles, for example between 60 ° and 90 °. Preferably, said at least one thermometer and said at least one hygrometer comprise wireless communication means for addressing their measurements to said processing means or to a storage unit recording said data, said storage unit being connected to said processing means . In various particular embodiments of this detection assembly, each having its particular advantages and capable of numerous possible technical combinations: said at least one thermal infrared detector comprises a plurality of elements sensitive to infrared radiation arranged according to a matrix, said sensitive elements being microbolometers. Such an automatic calibration thermal infrared detector, for example with respect to a reference surface at room temperature, makes the present assembly economical and quick to implement in that no prior calibration with black bodies is required. In addition, the sensitive elements do not require a cooling system, the assembly is of a very simple use and can operate completely autonomously. the assembly comprises a filter wheel comprising at least two distinct filters. Each filter selectively filters the thermal infrared streams received by said detector before these streams are received by said at least one sensor of said thermal infrared detector. Preferably, this thermal infrared detector comprises a storage unit comprising data related to the filters, to one or more target objects in the sky measured by means of each filter and data to identify the filter of said wheel to be selected for the measurement of a particular target object in the sky. These latter data can be addressed to a displacement element of said filter wheel so that the processing means addressing a control signal to this displacement element, said filter wheel is displaced by these displacement elements so that a matched filter is positioned for measuring said target object in the observed sky zone. Similarly, the storage unit may comprise a set of data relating to the setting of the thermal infrared detector according to the filter of said selected wheel. at least said signals emitted by said one or more sensors are wireless communication signals, said processing means comprising reception means for receiving said wireless communication signals transmitted by said one or more sensors. These wireless communication signals may be based on the following protocols: IEEE 802.11 b / g / n (Wi-Fi), IEEE 802.15.1 (Bluetooth), IEEE 802.16 (WiMax), ZigBee IEEE 802.15.4 or GSM or GPRS. Of course, said processing means may comprise means for transmitting and receiving wireless communication signals. - D being the distance between said at least one detector of said mirror and A being the opening angle of said at least one detector, said mirror has a radius R at least equal to D x tan (A / 2). For a given small footprint, thus significantly improves the resolution of the detection assembly. said set comprises means of communication on a mobile network of the GSM / GPRS / UMTS type, a fixed wired network or on a wireless communication network of the Wi-Fi type for collecting data, such as meteorological data of the place deploying said set, and / or sending data (such as images or measurements) related to the results obtained by said processing means.
    [0013] Preferably, this set also comprises a storage unit for storing said data, said storage unit being connected to said processing means so that the latter can access this data and possibly store other data therein. Preferably, said assembly comprises a photometer, a LIDAR or RADAR measurement system for obtaining complementary data which will be used in the determination of the properties of the cloud or clouds present in said observed sky zone. The present invention further relates to a method for predicting the position of one or more clouds in the sky.
    [0014] According to the invention, it is determined from the set of data obtained at a time t by the method of identification and monitoring of one or more clouds in an area of the sky observed from the ground, as described above, the displacement and the evolution at a time t + At of each of the clouds of said observation zone.
    [0015] As a purely illustrative example, this estimation of the movement of the clouds is made from images of the observed sky zone obtained consecutively from the thermal infrared detector and from an image processing method known as " optical flow "to detect the movement of a cloud in this area.
    [0016] The present invention has applications in various technical fields: - airport surveillance: automatic monitoring of the state of the sky, - determination or prediction of time windows favorable to laser communication between a satellite and an optical communications reception terminal, - reception by on-board terminal, for example on board an aircraft, of signals originating from the ground, - Astronomy. BRIEF DESCRIPTION OF THE DRAWINGS Other particular advantages, aims and features of the present invention will be apparent from the following description given for explanatory and non-limiting purposes, with reference to the accompanying drawings, in which: FIG. 1 shows schematically a detection assembly 30 for characterizing and monitoring clouds in an area of the sky observed from the ground according to a particular embodiment of the present invention; FIG. 2 shows a raw image obtained with the detection assembly of FIG. 1; FIG. 3 shows the thermal infrared signal emitted by a clear sky 35 for a vertical distribution of temperature and of water vapor determined from actual measurements made with the thermometer and the hygrometer of the assembly of FIG. 1; FIG. 4 shows, from a large number of gloss temperature measurements, the empirical determination of the brightness temperature gradients as a function of the zenith angle, for different classes of brightness temperature; FIG. 5 shows the brightness temperatures equivalent to the zenith a for the image represented in FIG. 2; FIG. 6 shows a corrected image of the area of the sky observed from the ground obtained from FIG. 3; DETAILED DESCRIPTION OF THE EMBODIMENT OF THE INVENTION Firstly, it is noted that the figures are not to scale. Figure 1 shows a detection set for cloud characterization and tracking in an area of the sky observed from the ground according to a particular embodiment of the present invention. The detection assembly comprises a mirror 10 having a curved spherical mirror surface 11. The mirror surface 11 is oriented towards a thermal infrared camera 12 placed on the optical axis of this mirror at a distance d from this mirror surface 11 ensuring the compactness of the detection assembly. Advantageously, the opening angle of the thermal infrared camera 12 here being equal to 62 ° and the distance d separating this camera 12 from the mirror 10 being 0.3 m to maintain the compactness of the assembly, the diameter of the spherical mirror is 0.36 m. The surface of this mirror 11 ensures the collection of at least a portion of the thermal infrared flux emitted in the sky observed from the ground and returns the collected streams to the thermal infrared camera 12. This thermal infrared camera 12 comprises sensors (not shown) sensitive to these thermal infrared flows in a determined wavelength band, each sensor emitting measurement signals. Advantageously, these sensors are here microbolometers arranged in the form of a matrix.
    [0017] The convex spherical mirror is coated with a reflective optical coating in a wavelength band suitable for infrared measurement with the thermal infrared camera. By way of example, this optical coating is reflective at least in the wavelength band to which the sensors of the camera are sensitive, for example between 7.5 and 14 microns, and more preferably between 9 and 14 microns. The assembly also comprises means 13 for processing the signals emitted by the sensors. These processing means 13 here comprise a computer on which one or more data processing software programs are executed to process the signals received from the sensors, store them and send them remotely by a communication means. The assembly further comprises a thermometer 14 and a hygrometer 15 which are placed in close proximity to the mirror 10 to measure the temperature and the relative humidity of the actual air at ground level. These two instruments are also connected to said processing means 13, which receive the signals emitted by these instruments for storing and processing them. The processing means 13 making it possible to determine from these real measurements made at ground level, the vertical distribution of temperature and of water vapor which will be used to correct the contribution of the atmosphere between said set and the one or more clouds. Figures 2 to 6 show an example of measurement made with the previously described detection assembly. Although giving good results, the correction of the atmospheric contribution with a sky of reference such as a clear sky, can be further improved by an adaptive correction which makes it possible to find the good zénithale temperature according to the situation (cloud or sky clear): T = (Th - a) x (0/90) b + a With Th temperature on the horizon (K), b empirical gradient parameter, 0 zenith angle (rad) and zenith temperature (K) ). The gloss temperature described the state of the cloud in terms of altitude and optical thickness at the zenith.
    [0018] The minimum temperature is that of the clear sky (cloudless), the maximum temperature is that of the lowest cloud and opaque. All intermediate temperatures correspond to optical altitude / thickness pairs.
    [0019] This correction makes it possible to know the equivalent brightness temperature for a given zenith angle. FIG. 4 shows, from a large number of gloss temperature measurements (a measurement is represented by point), the empirical determination of the brightness temperature gradients (thermal infrared signal) as a function of the zenith angle, for different gloss temperature classes. This gradient is visible in clear sky cases as shown in FIG. 3. For each pixel of the image, the following steps are performed: calculate a reference gradient for each zenithal brightness temperature of the vector a, and compare the pixel at the reference gradients (dotted curves in Figure 4, the x-axis representing the zenith angle (rad), the ordinate axis representing the temperature (K)). The pixel that will be retained for the correction is the brightness temperature at the zenith of the nearest gradient. Once the model sticks with the information included in the image, we can find the gloss temperatures equivalent to the zenith a for the whole image (Figure 5, the x axis representing the zenith angle (rad), the ordinate axis representing the Temperature (K)).
    [0020] Figure 6 shows the corrected image after treatment.
    权利要求:
    Claims (12)
    [0001]
    REVENDICATIONS1. Detection method for the identification and monitoring of one or more clouds in an area of the sky observed from the ground, characterized in that the following steps are performed: a) collecting at least a portion of the thermal infrared streams emitted in said observed sky zone and send them to at least one thermal infrared detector (12), said at least one thermal infrared detector (12) comprising at least one sensor sensitive to said fluxes in a determined wavelength band, b) realize at least one measurement of the actual air temperature and relative humidity at ground level and deduce the vertical distribution of temperature and water vapor; (c) simulate or obtain the relevant data set; to the thermal infrared signal emitted by a reference sky for said vertical distribution of temperature and water vapor thus deduced, d) subtracting from the set of data measured by said at least one sensor , the set of data thus simulated or obtained so as to determine the presence or absence of one or more clouds in said sky observation zone, e) treat all the data thus obtained to calculate the optical thickness and / or the altitude of each cloud in said sky observation.
    [0002]
    2. Method according to claim 1, characterized in that prior to step a), said at least one sensor of said detector (12) infrared thermal by using a single reference surface at room temperature.
    [0003]
    3. Method according to claim 1 or 2, characterized in that the step e) of processing all of the data comprises a step of inversion of the radiative transfer model for determining the horizontal spatial distribution of the optical thickness. and / or the altitude of the single cloud layer or set of clouds in said sky observation zone.
    [0004]
    4. Method according to claim 3, characterized in that to calculate the optical thickness of each cloud at the wavelengths of interest, the cloud model is first determined and the radiation of each cloud is simulated according to the model. of cloud thus determined.
    [0005]
    5. Method according to claim 1 or 2, characterized in that the cloud or clouds being substantially transparent, is used in step e) processing of all the data, the vertical distribution of temperature and water vapor from a clear sky to deduce the optical thickness and / or altitude of each cloud.
    [0006]
    6. Method according to any one of claims 1 to 5, characterized in that an optical sensor is used defining a sky observation zone from the ground of at least 4.6 steradians to determine from the texture and color of each cloud detected by said optical sensor, the corresponding cloud type to deduce a range of altitudes of each cloud present in said sky observation zone.
    [0007]
    7. Detection assembly for implementing the method for identifying and monitoring one or more clouds in an area of the sky observed from the ground according to any one of claims 1 to 6, said set comprising: a mirror (11) having a convex or conical curved mirror surface (11), the surface of said mirror (11) facing at least one thermal infrared detector (12) for collecting at least a portion of the thermal infrared flux emitted in said mirror observed sky zone and return them to said at least one thermal infrared detector (12), said at least one thermal infrared detector (12) comprising at least one sensor responsive to said fluxes in a determined wavelength band, each sensor transmitting measurement signals; means for processing (13) the signals emitted by said at least one sensor; at least one thermometer (14) and at least one hygrometer (15) for measuring temperature and humidity; relative density of the actual air at ground level and connected to said processing means, and said processing means (13) for determining from these measurements the vertical distribution of temperature and water vapor to correct the contribution of the atmosphere between said set and the cloud or clouds.
    [0008]
    8. The assembly of claim 7, characterized in that said at least one thermal infrared detector (12) comprises a plurality of infrared-sensitive elements arranged in a matrix, said sensitive elements being microbolometers.
    [0009]
    9. An assembly according to claim 7 or 8, characterized in that at least said signals emitted by said one or more sensors are wireless communication signals, said processing means (13) comprising receiving means for receiving said signals of wireless communication transmitted by said one or more sensors.
    [0010]
    10. An assembly according to any one of claims 7 to 9, characterized in that D is the distance between said at least one detector (12) of said mirror (11) and A being the opening angle of said at least one detector (12), said mirror (11) has a radius R at least equal to D x tan (A / 2).
    [0011]
    11.A set according to any one of claims 7 to 10, characterized in that said set comprises means of communication on a GSM / GPRS / UMTS type mobile network, a fixed wired network or on a wireless communication network. Wi-Fi type to collect data, such as meteorological data of the location of deployment of said set, and / or send data related to the results obtained by said processing means.
    [0012]
    12. A method for predicting the position of one or more clouds in the sky, characterized in that it is determined from the data set obtained at a time t by the identification and monitoring method of a or several clouds in an area of the sky observed from the ground according to any one of claims 1 to 6, the displacement and the evolution at a time t + At of each of the clouds of said observation zone.
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    法律状态:
    2015-09-28| PLFP| Fee payment|Year of fee payment: 2 |
    2016-04-01| EXTE| Extension to a french territory|Extension state: PF |
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    申请号 | 申请日 | 专利标题
    FR1459124A|FR3026496B1|2014-09-26|2014-09-26|DETECTION ASSEMBLY AND METHOD FOR CLOUD IDENTIFICATION AND TRACKING IN AN AREA OF OBSERVED SKY|FR1459124A| FR3026496B1|2014-09-26|2014-09-26|DETECTION ASSEMBLY AND METHOD FOR CLOUD IDENTIFICATION AND TRACKING IN AN AREA OF OBSERVED SKY|
    PCT/EP2015/071959| WO2016046309A1|2014-09-26|2015-09-24|Detection unit and method for identifying and monitoring clouds in an observed area of the sky|
    US15/513,617| US10345424B2|2014-09-26|2015-09-24|Detection unit and method for identifying and monitoring clouds in an observed area of the sky|
    EP15774549.8A| EP3198311B1|2014-09-26|2015-09-24|Detection unit and method for identifying and monitoring clouds in an observed area of the sky|
    JP2017535961A| JP6680788B2|2014-09-26|2015-09-24|Detecting apparatus and method for identifying and monitoring clouds in the observation region of the sky|
    ES15774549T| ES2733120T3|2014-09-26|2015-09-24|Set and detection procedure for the identification and monitoring of a cloud in an area of observed sky|
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