Factory lighting system using ai, and lighting control method using system

Abstract

Provided is a factory lighting system using artificial intelligence (AI), comprising: a plurality of lifting / lowering devices, which are provided on the ceiling in a factory and can move up and down; a light provided at each of the lifting / lowering devices; and a control unit, including AI, that enables the AI to control the height of the lighting through operation of the lifting / lowering device.

Description

Factory lighting system using AI and lighting control method using the system

[0001] The present invention relates to a technology that uses AI to provide an optimal lighting system according to the work environment within a factory, and more specifically, to a technology that identifies a production area, an inspection area, a packaging area, and a storage area within a factory and provides optimal lighting.

[0002] The purpose of controlling the brightness of lighting within a factory is to prevent accidents and improve work efficiency for workers.

[0003] Meanwhile, in a factory building, a production area where products are produced or assembled, an inspection area where products are inspected for defects, a packaging area where inspected products are packaged, and a storage area where packaged boxes are loaded and stored can all be located in one place, and each area may vary depending on the machinery and equipment and work environment.

[0004] In addition, there is a need for a method to efficiently use lighting energy, such as improving work efficiency and saving energy by providing efficient lighting brightness by relatively brightening the lighting in the inspection area and production area and lowering the lighting brightness in the packaging area and storage area.

[0005] In order to solve the above problems, the present invention provides a factory lighting system using AI that can use energy efficiently by identifying areas within a factory through AI and adjusting the brightness of lighting according to the area, and a lighting control method using the system.

[0006] In order to solve the above problem, the present invention provides a factory lighting system using AI, which is characterized by comprising a plurality of elevators installed on the ceiling of a factory and capable of moving up and down, lights installed on each of the elevators, a sensor unit installed in the factory to detect machine operation, movement detection, and illuminance, and a control unit including AI (Artificial Intelligence) that receives data from the sensor unit and controls the height of the lighting by artificial intelligence through the operation of the elevator unit.

[0007] The control unit is characterized by comprising: a data collection unit that stores data received from the sensor unit; a zone determination unit that determines a zone within the factory through the data collection unit; and a lighting control unit that adjusts the height and brightness of lighting according to the designation in the zone determination unit.

[0008] The above zone determination unit is characterized in that the area where machine operation is detected and the dynamic state indicating the object recognition and the object movement and speed range and the worker detection area are determined to be a production area, the area where the static state of the object and the worker are detected are determined to be an inspection area, the area where the object and the packaging box are detected and the worker are detected are determined to be a packaging area, and the area where the packaging box is detected is determined to be a storage area.

[0009] The present invention provides a lighting control method for a factory lighting system using AI, characterized by including the steps of: acquiring images within a factory; detecting machine locations, items, and the number of workers through the acquired images; determining production, inspection, packaging, and storage areas through learning based on the machine locations, items, and worker locations and actions detected within the factory; and providing optimal lighting by adjusting the height and width of lighting installed for each designated area.

[0010] The following effects can be expected by the above solution.

[0011] The lighting within the factory can be adjusted to different heights for each zone, providing an appropriate lighting environment for production, inspection, packaging, and storage areas.

[0012] Figure 1 illustrates the factory environment layout of a factory lighting system using AI according to an embodiment of the present invention.

[0013] FIG. 2 is an example of lighting control according to zones in a factory lighting system using AI according to an embodiment of the present invention.

[0014] FIG. 3 is a diagram showing the configuration of a control unit in a factory lighting system using AI according to an embodiment of the present invention.

[0015] FIG. 4 is a diagram showing an elevator device and lighting of a factory lighting system using AI according to an embodiment of the present invention.

[0016] Figure 5 is a system schematic diagram of a factory lighting system using AI according to an embodiment of the present invention.

[0017] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings. The following description and the accompanying drawings are provided to facilitate a general understanding of the present invention and are not intended to limit the technical scope of the present invention. Furthermore, detailed descriptions of well-known components and functions that may unnecessarily obscure the gist of the present invention will be omitted.

[0018] Fig. 1 illustrates a factory environment layout of a factory lighting system using AI according to an embodiment of the present invention. Fig. 2 illustrates an embodiment of lighting control according to zones in a factory lighting system using AI according to an embodiment of the present invention. Fig. 3 is a diagram illustrating a control unit configuration in a factory lighting system using AI according to an embodiment of the present invention. Fig. 4 is a diagram illustrating an elevator device and lighting in a factory lighting system using AI according to an embodiment of the present invention, and Fig. 5 is a system schematic diagram of a factory lighting system using AI according to an embodiment of the present invention.

[0019] Referring to Figures 1 to 5, the present invention comprises an elevator device (100), lighting (200), a sensor unit (300), and a control unit (400) within a factory, and can adjust the height of the lighting through AI. The present invention will be described with reference to Figures 1 to 5 as a whole, and specific drawings will be mentioned when necessary.

[0020] The above-described elevator device (100) is installed on the ceiling of a factory as illustrated in Fig. 4 and moves up and down by a rope driven by electricity. For safety and convenience in use, a reducer (worm gear) is used for the driving unit and a flat cable reinforced with stainless steel wire is used for the rope. In addition, two lines of flat cables are used to ensure horizontal stability during ascent and descent, and the lighting is always maintained to efficiently control the illumination and to facilitate replacement of the ballast and lamp. The above-described elevator device (100) can also be controlled wirelessly.

[0021] The above lighting (200) is a lighting device that is installed on each of the above elevator devices (100) and is capable of dimming.

[0022] The above sensor unit (300) is installed in the factory to detect the operation of production machinery, objects and workers, and illuminance.

[0023] In the sensor section (300) described above, whether the production machine is operating can be detected by a machine operation sensor, and the movement and speed of an object and the dynamic state according to the movement of a worker can be detected by a body detection sensor.

[0024] The above control unit (400) includes AI (Artificial Intelligence) that enables the height of lighting to be controlled by artificial intelligence through the operation of the above elevator device (100).

[0025] The above control unit (400) is composed of a data collection unit (420) that stores data received from the sensor unit (300), a zone determination unit (440) that determines zones within the factory through the data collection unit (420), and a lighting control unit (460) that adjusts the height and brightness of lighting according to the designation of the zone determination unit (440).

[0026] Here, the zone determination unit (440) determines a production zone if the machine operation is detected and the dynamic state indicating the object recognition, object movement, and speed range, as well as the worker detection section, are satisfied. In other words, the production zone is determined by machine operation detection. If the object moves a certain distance per unit time, the dynamic state is determined, and if a worker is detected, production is determined to be in progress. In this case, the brightness can be slightly brighter when a worker is present than when there is no worker present.

[0027] In addition, the zone judgment unit (440) determines the static state of the object and the part where a worker is detected as the inspection area, and here, the object is considered to be static if it does not move more than a certain distance per unit time within the set radius range of the designated production area, and if a worker is detected, it is determined to be the inspection area and the lighting can be lowered to increase the illumination during inspection.

[0028] In addition, the zone judgment unit (440) detects objects and packaging boxes within a set radius range of the designated inspection zone, and determines the area where a worker is detected as a packaging area, thereby providing appropriate lighting to the packaging.

[0029] Lastly, the area determination unit (440) is characterized by determining that an area where a packaging box is detected is a storage area. Here, the packaging box can be recognized by learning from an image that at least a certain number of box-shaped boxes are counted or loaded, and if a worker is not present for a certain period of time, it is determined to be a storage area.

[0030] Below, we will explain a lighting control method using the factory lighting system using the above AI.

[0031] First, the control unit (300) acquires images inside the factory through a camera.

[0032] Next, the acquired video captures the factory's horizontal and vertical dimensions, which are then displayed as coordinates. The corresponding machine locations, items, and number of workers are detected. The camera's image processing detects the dynamic and static states of objects and workers.

[0033] At this time, production, inspection, packaging, and storage areas are determined through machine learning based on the machine locations, products, and worker locations and actions detected within the factory. The above-mentioned area determination can be performed by the control unit (300).

[0034] AI uses machine learning to adjust the height and width of the lights installed in each designated area to provide optimal lighting.

[0035] Meanwhile, AI can optimize energy usage by time zone by applying a learning server. In this case, minimum and maximum lighting brightness was applied using a perception sensor.

[0036] Time example scenario Maximum brightness when recognized Minimum brightness when not recognized Number (Going to work) The moment the Going to work button is pressed, all lights turn on, automatic control of lighting brightness with recognition sensor begins 1-1 (Daytime) After going to work ~ sunset time Automatic control of lighting brightness with recognition sensor 1500 lx 1000 lx 1-2 The window group maintains a constant brightness regardless of the recognition sensor 1800 lx 1800 lx 1-3 (Nighttime) From sunset time to before leaving work Automatic control of lighting brightness with recognition sensor 1800 lx 1500 lx 1-4 The window group maintains a constant brightness regardless of the recognition sensor 1800 lx 1800 lx 1-5 (Leaving work) The moment the Going to work button is pressed, all lights turn off, automatic control of lighting brightness with recognition sensor End 1-6 The moment the End scenario button is pressed, automatic control of lighting brightness with recognition sensor ends (lighting remains in the current state) 1-7

[0037] As described above, it can be seen that the present invention is based on the basic technical idea of ​​a factory lighting system using AI and a lighting control method using the system. Of course, many other modifications are possible for those with ordinary skill in the art within the scope of the basic idea of ​​the present invention.

Claims

1. Multiple elevators installed on the ceiling of the factory and capable of moving up and down, Lights installed on each of the above elevators, A sensor unit installed in the above factory to detect machine operation, body detection, and illuminance; A factory lighting system using AI, characterized by comprising a control unit including AI (Artificial Intelligence) that receives data from the above sensor unit and controls the height of lighting by artificial intelligence through the operation of the above lifting device.

2. In paragraph 1, The above control unit, A data collection unit that stores data received from the above sensor unit, A zone determination unit that determines zones within the factory through the above data collection unit; A factory lighting system using AI, characterized by comprising a lighting control unit that adjusts the height and brightness of lighting according to the designation in the above-mentioned zone judgment unit.

3. In paragraph 2, The above district judgement department, The area where machine operation is detected and the dynamic state indicating the recognition of objects and the movement and speed range of objects and the operator detection area are satisfied is judged as a production area. The static state of the object and the part where the worker is detected are considered as the inspection area. The area where the object and packaging box are detected and the worker is detected is judged as the packaging area. A factory lighting system using AI that determines the area where a packaging box is detected as a storage area.

4. Step of acquiring images within the factory; A step of detecting the machine location, items, and number of workers through the acquired image; A step of determining production, inspection, packaging, and storage areas through learning from the machine locations, items, and worker locations and actions detected within the factory; A step for providing optimal lighting by adjusting the height and width of the lighting installed in each designated area; A factory lighting system lighting control method using AI, characterized by including:

Images