WO2023148513A1 - Procédé mis en œuvre par ordinateur pour optimiser l'éclairage d'espaces intérieurs et extérieurs - Google Patents

Procédé mis en œuvre par ordinateur pour optimiser l'éclairage d'espaces intérieurs et extérieurs Download PDF

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Publication number
WO2023148513A1
WO2023148513A1 PCT/HR2022/000001 HR2022000001W WO2023148513A1 WO 2023148513 A1 WO2023148513 A1 WO 2023148513A1 HR 2022000001 W HR2022000001 W HR 2022000001W WO 2023148513 A1 WO2023148513 A1 WO 2023148513A1
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WO
WIPO (PCT)
Prior art keywords
implemented method
computer
light
automatic
classification
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Application number
PCT/HR2022/000001
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English (en)
Inventor
Dean Skira
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SKIRA d.o.o.
Priority date (The priority date 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 date listed.)
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Publication date
Application filed by SKIRA d.o.o. filed Critical SKIRA d.o.o.
Priority to PCT/HR2022/000001 priority Critical patent/WO2023148513A1/fr
Publication of WO2023148513A1 publication Critical patent/WO2023148513A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation

Definitions

  • the invention relates a computer-implemented method for optimizing the lighting of indoor and outdoor spaces.
  • the lighting of indoor spaces as well as outdoor spaces is very important. Good lighting of indoor spaces is crucial for optimal work conditions since it prevents eye problems, mistakes of the workers in the business processes regardless of their nature (administrative, surgery, production, logistic, etc.), and creates a general sense of well-being.
  • the outdoor spaces lighting needs to be well-designed as well. For example, road lighting should provide visual comfort and help to keep the driver alert. It has been shown that good road lighting can reduce night-time accidents. This is especially important for the countries where peak hours coincide with the hours of darkness (Northern hemisphere countries) not only for the motorized traffic but also for slow-moving traffic such as pedestrians, cyclists and moped users.
  • US20200187332A1 discloses a user interface that a designer uses to position light fixtures at different locations in a room.
  • the software suggests the position of the light fixture, its power, and optical characteristics to optimize the designer's work.
  • the user interface provides a 3D visualization of the future appearance of an optimally illuminated surface to the user.
  • the solution disclosed in US20200084855A1 uses software for the calculated optimal value of the light parameters for each of the plurality of the lamps by a predefined light standard.
  • the software determines the power of the light and its optical characteristics.
  • the software furthermore customizes light fixtures based on the requirement.
  • US20190188913A1 discloses an artificial intelligence software application that may identify/suggest the right location for light fixtures in the observed space.
  • the software determines the power of the light and its optical characteristics.
  • the software customizes light fixtures based on the requirement.
  • a user interface provides 3D visualization of an optimally illuminated surface to a user. All the solutions mentioned above solve the problem (i.e., providing optimal lighting and at the same time reducing light pollution) and have several drawbacks: difficulty to put it into practice, cause unnecessary energy consumption, neglect disability glare, etc.
  • FIGURE 1 Diagram of the optimisation process.
  • FIGURE 2 Calculation- ground plane - roundabout.
  • FIGURE 3 Calculation- ground plane - roundabout and road.
  • FIGURE 4 Calculation- ground plane - roundabout, road, and surroundings.
  • FIGURE 5 3D Calculation - View l-( IG UZZI N I and present invention)
  • FIGURE 6 3D Calculation - View 1 (PHILIPS and present invention
  • FIGURE 7 3D Calculation - View 2 (IG UZZI N I and present invention)
  • FIGURE 8 3D Calculation - View 2(PH I LI PS and present invention)
  • FIGURE 9 Calculation - View 3 (IGUZZINI and present invention)
  • FIGURE 10 3D Calculation - View 2 (PHILIPS and present invention)
  • FIGURE 11 Screenshot showing numeric data in illuminance or luminance value on each dot
  • FIGURE 12 close up screenshot showing numeric data in illuminance or luminance value on each dot
  • FIGURE 13 Showing screenshot of front-end user interface and 3d of the calculated area plus light cones
  • FIGURE 14 Showing screenshot of front-end user interface and 3d of the calculated area plus light cones and distance between poles
  • FIGURE 15 Showing screenshot of front-end user interface and 3d of the calculated area plus light cones
  • the invention describes a computer-implemented method for optimizing lighting of indoor and outdoor spaces comprising the following steps: generation of input data by creating 3D models of the area and/or objects in the form of a point cloud or polygonal network; automatic or manual of classification of the subzones as road, motorway, sidewalk, cycling road, parking space, greenfield, public square, general space, room, light column, building, wall, bridge, tunnel, railway, park, and water surface; optionally reformatting from 3D into 2D map; semantic extraction based on classification; automatic generation of the proposed location of the illuminating devices; optional modification of the position of the illuminating devices through the user interface; automatic calculation of the light parameters such as power and optical characteristics for each illuminating device in accordance with the predefined light standard by making use of the algorithm of the beam monitoring.
  • Data generated according to the present invention method are fed to the 3D printer or any other production method and assembled on the light source.
  • This method may comprise an additional step of automatic calculation of the lampshade model for any illuminating device, and the data generated therein are fed to the 3D printer, printed and mounted on the illumination device.
  • the generated data could be fed to a 3d printer or made by any other production method and used as a glare reduction device mounted on the light fixture.
  • the computer-implemented method provides 3D visualization of the future appearance of an optimally illuminated surface to a user via the user interface.
  • the invention relates to a computer-implemented method for optimizing lighting of indoor and outdoor spaces comprising the following steps.
  • Users could generate input data by making use of 3D models, which could be directly fed to the software or use data from the open network data (such as http://3dcitydb.org). These 3D data could be in the form of a point cloud or polygonal mesh. Data entered in the form of the point cloud are automatically converted into a polygonal mesh. During this step, the user can enter an arbitrary number of 3D models. The 3D models that cover large areas like entire cities or several city blocks can be divided into smaller segments or areas.
  • the individual 3D area has to be further divided into subzones (layers) and classified either manually or automatically into categories such as road, footpath, sidewalk, cycling road, greenfield, parking spaces, public square and general area and into objects such as light pole , building, wall, bridge, tunnel, railway, park and water surface.
  • subzones layers
  • categories such as road, footpath, sidewalk, cycling road, greenfield, parking spaces, public square and general area and into objects such as light pole , building, wall, bridge, tunnel, railway, park and water surface.
  • an optional step is possible - i.e., reformatting from 3D into a 2D map.
  • Further steps include classification by semantic segmentation, automatic generation of the proposed locations of the illuminating devices; optional manual modification of the positions of the illuminating devices through a user interface.
  • Traditional illumination design requires manual classification in the zones which are subject to the light design.
  • Software according to the present invention introduces the semantic segmentation module intended for dividing the 3D model into subzones and assigning the classes of illumination.
  • the module has been trained by making use of the proprietary 3D data with marked classes of the illumination which are fed to the machine learning algorithm. Users have the option to use the suggested subzone division and classes or change them according to their preferences. Lighting norms and/or standards are often country-specific or specific to certain geographical areas. Due to this fact, the semantic segmentation step is optimized for continuous learning and could be easily adjusted to specific new requirements and guidelines.
  • Further data processing method comprises multiple steps.
  • the first step includes sampling of the calculation points on the surface of every illuminated layer. Points are sampled randomly on the layer surface with configurable sampling resolution. Sampled calculation points are grouped according to the illuminating body or lamp that influences them, taking into consideration global restrictions set up by the user. Every calculation point is checked together with the corresponding lamps for occlusion using the beam tracking algorithm. Points unreachable from all lamps are removed from calculations. Along with calculation points, measurement points are sampled on a regular grid on the surface of every layer. The grid format is defined by standard lighting calculation norms.
  • Next step comprises calculation of all parameters of the scene needed for the photometric calculations like angles, distances and heights.
  • horizontal illuminance scene parameters include lamp height and angle between the light beam and the road surface [W. Van Bommel, Road lighting: str. 319-324].
  • a light beam has to be simulated between the light source and points on the ground. This could be done for more blocks or city quarters at the same time.
  • the purpose of the algorithm for beam tracking is to detect the beams that are hindered by the objects on the scene.
  • Input data for this data processing are: position of the light sources, sampling points on every layer, and additional objects which could be present between the layer and the source of the light.
  • VBVH bounding volume hierarchy
  • Hindered points are then eliminated from the calculations in order to reduce the complexity of the calculation.
  • Ones the optimal beam angle of the light fitting is achieved, all based on calculated result of the beam angle from individual light source, or group of sources on each light fixture, we will automatically calculate and generate 3d model of the anti glare louvre to minimise the visible glare from the light fixture. This louvre will provide minimum possible eye contact of the viewer with source and at the same time allow maximum lumen output from the light fixture by not obstructing the exit beam from the fixture.
  • Photometric values for points in the scene are calculated using the beam monitoring algorithm. The contribution of each lamp is described by the luminous intensity at the angle for which the beam reaches the point. The individual contributions are superposed. Bilinear interpolation is used to obtain luminous intensity for non-tabular angle values.
  • 3D scenes together with the assigned norms are to be optimized using graphic processing units which are suitable for optimization of the large quantities of the 3D data iteratively.
  • the target function represents the sum of the absolute differences from the ideal value of illumination, which are set out by the illumination standard.
  • the optimization process will be carried out by an iterative procedure, using the gradient descent algorithm.
  • luminaire parameters are corrected until the requirements of the assigned lighting norms are satisfied.
  • Every iteration calculates values of photometric parameters and compares results with desired target results.
  • the numeric computation framework performs automatic differentiation which enables the use of gradient descent. After calculating values in all points, one step of the gradient descent is used for correcting lamp parameters and making a decision based on the result. If the norm requirements are fulfilled, the luminaire parameters are returned as final results. Otherwise, a new iteration will be performed.
  • the light design is given by the group of lamps that have a unique position on the scene, and it is described by the geometric light column and specification of the light source.
  • the position of the lamp is described by the coordinate of the column basis in the coordination system of the scene.
  • the geometry of the lamp is described by its photometric height of the centre, inclination, and orientation.
  • Specification of the light source is described in the output file of .ies format wherein the intensity of a light source in the point of the spheral network.
  • the software calculates light distribution curves for individual lamps.
  • the file that is used represents an industrial standard (extension .ies).
  • end users can choose to export data in other photometric file formats like EULUMDAT (extension .Idt). Every file comprises light distribution curves for every lamp as well as coordinates for every lamp to be installed, geographical coordinates and coordinates in the relative coordination system of the models. Enduser can configure the resolution, i.e. precision of the calculated curves.
  • the light distribution curves are used as a starting point for the process of lens design in order to produce the instructions for lens production.
  • the optional step of the method is the automatic calculation of the lampshade model for any illuminating device.
  • the generated data could be fed to a 3d printer or any other production method and used as a glare reduction device mounted on the light fixture.
  • the computer-implemented method according to the invention provides 3D visualization of the future appearance of an optimally illuminated surface to a user via a user interface.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Structural Engineering (AREA)
  • Computational Mathematics (AREA)
  • Civil Engineering (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Architecture (AREA)
  • Non-Portable Lighting Devices Or Systems Thereof (AREA)

Abstract

L'invention décrit un procédé mis en œuvre par ordinateur pour optimiser l'éclairage d'espaces intérieurs et extérieurs comprenant les étapes suivantes : la génération de données d'entrée par création de modèles 3D de l'espace et/ou d'objets sous la forme d'un nuage de points ou d'un réseau polygonal ; la classification automatique ou manuelle des sous-zones en tant que route, autoroute, trottoir, piste cyclable, emplacement de stationnement, zone verte, place publique, espace général, pièce, colonne de lumière, bâtiment, mur, pont, tunnel, voie ferrée, parc et surface d'eau ; l'éventuel reformatage à partir d'une carte 3D en carte 2D ; l'extraction sémantique basée sur la classification ; la génération automatique de l'emplacement proposé de la modification éventuelle de dispositifs d'éclairage de la position des dispositifs d'éclairage par le biais de l'interface utilisateur ; et le calcul automatique des paramètres de lumière tels que la puissance et les caractéristiques optiques pour chaque dispositif d'éclairage conformément à une norme de lumière prédéfinie à l'aide de l'algorithme de la surveillance de faisceau.
PCT/HR2022/000001 2022-02-04 2022-02-04 Procédé mis en œuvre par ordinateur pour optimiser l'éclairage d'espaces intérieurs et extérieurs WO2023148513A1 (fr)

Priority Applications (1)

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PCT/HR2022/000001 WO2023148513A1 (fr) 2022-02-04 2022-02-04 Procédé mis en œuvre par ordinateur pour optimiser l'éclairage d'espaces intérieurs et extérieurs

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PCT/HR2022/000001 WO2023148513A1 (fr) 2022-02-04 2022-02-04 Procédé mis en œuvre par ordinateur pour optimiser l'éclairage d'espaces intérieurs et extérieurs

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130335960A9 (en) 2008-05-16 2013-12-19 Musco Corporation Method, system, and apparatus for highly controlled light distribution from light fixture using multiple light sources (leds)
US20170345208A1 (en) * 2011-04-14 2017-11-30 Suntracker Technologies Ltd. System and method for real time dynamic lighting simulation
US20190188913A1 (en) 2017-12-20 2019-06-20 Eaton Intelligent Power Limited Lighting And Internet Of Things Design Using Augmented Reality
US20200084855A1 (en) 2018-09-12 2020-03-12 Eaton Intelligent Power Limited Customized Photometric Data For Lighting System Designs
US20200104432A1 (en) * 2017-04-27 2020-04-02 Ecosense Lighting Inc. Methods and Systems for an Automated Design, Fulfillment, Deployment and Operation Platform for Lighting Installations
US20200187332A1 (en) 2018-12-10 2020-06-11 Electronic Theatre Controls, Inc. Automated re-creation of lighting visual for stage

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130335960A9 (en) 2008-05-16 2013-12-19 Musco Corporation Method, system, and apparatus for highly controlled light distribution from light fixture using multiple light sources (leds)
US20170345208A1 (en) * 2011-04-14 2017-11-30 Suntracker Technologies Ltd. System and method for real time dynamic lighting simulation
US20200104432A1 (en) * 2017-04-27 2020-04-02 Ecosense Lighting Inc. Methods and Systems for an Automated Design, Fulfillment, Deployment and Operation Platform for Lighting Installations
US20190188913A1 (en) 2017-12-20 2019-06-20 Eaton Intelligent Power Limited Lighting And Internet Of Things Design Using Augmented Reality
US20200084855A1 (en) 2018-09-12 2020-03-12 Eaton Intelligent Power Limited Customized Photometric Data For Lighting System Designs
US20200187332A1 (en) 2018-12-10 2020-06-11 Electronic Theatre Controls, Inc. Automated re-creation of lighting visual for stage

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
WOUT VAN BOMMEL: "Road Lighting, Fundamentals, Technology and Application", 2015, SPRINGER INTERNATIONAL PUBLISHING

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