Projection lamp and control system thereof for changing intensity of projected light rays according to projection environment

Abstract

The present application relates to a kind of light projection lamp according to the change of projection environment to change the intensity of projection light, it is related to light projection control field, the light projection lamp includes: training operator, for the depth neural network designed for the projection scene of light projection operation towards building vertical plane is trained multiple times, to obtain intelligent analysis model;Intensity analytical device, for the intensity of projection light needed for keeping time-sharing uniform projection effect next time based on each fixed projection data and each environmental data of current time using intelligent analysis model intelligent analysis.This application also relates to a kind of light projection lamp control system according to the change of projection environment to change the intensity of projection light.By the present application, for the technical problem that the time-sharing uniform projection effect of specific projection scene is difficult to guarantee, the intensity of projection light that can ensure time-sharing uniform projection effect next time can be analyzed based on each environmental parameter of previous time, so that the above technical problems are solved.

Description

Technical Field

[0001] This invention relates to the field of projection control, and more particularly to a floodlight and its control system that can change the intensity of the projected light according to the projection environment. Background Technology

[0002] Floodlights have a wide range of applications, including indoor stage lighting design and building illumination and decoration. In indoor stage lighting design, floodlights can provide different colors and brightness levels to create diverse effects. In different programs or performances, floodlights can be used for illumination, highlighting actors or props, changing the atmosphere, and creating a unique visual experience for the audience. In building lighting and decoration, floodlights can project light onto the exterior walls of buildings to illuminate and decorate them. During the day or night, the various features and details of the building's exterior walls can be highlighted by floodlights, showcasing different color effects and making the building more aesthetically pleasing and unique. Therefore, controlling the projected light from floodlights is crucial, directly determining whether the floodlights can achieve the desired lighting effects in various applications.

[0003] For example, Chinese Invention Patent Publication CN1 13709947A discloses a floodlight control method and system applied to a crane. The crane includes three sections: a driver's cab, an electrical room, and a trolley module box. Each section is further divided into several sub-areas equipped with floodlights. The driver's cab is equipped with a first control module and an operation module. The first control module is electrically connected to the floodlights in the driver's cab. The electrical room is equipped with a second control module, which is electrically connected to the floodlights in the electrical room. The trolley module box is equipped with a third control module, which is electrically connected to the floodlights in the trolley module box. The system includes: an operation module responding to a first operation to select a lighting control command type and sending the lighting control command type to the first control module; the first control module sending the lighting control command to the control module of the corresponding section according to the lighting control command type, so that the control module of the corresponding section controls the corresponding floodlight. The floodlight control method of this application meets the illumination requirements of the dock under different environments.

[0004] For example, Chinese Utility Model Patent Publication CN208480007U discloses a floodlight control system. The system includes a terminal control device, a positioning device, and a cloud platform. The cloud platform is communicatively connected to both the terminal control device and the positioning device. The positioning device acquires the location information of the operator and sends this information to the cloud platform via the communication connection. The cloud platform generates a floodlight on / off command based on the location information and sends this command to the terminal control device via the communication connection. The terminal control device is configured to control the floodlight to turn on according to the on / off command and to control it to turn off according to the off command. This utility model satisfies the operator's lighting needs while also saving energy.

[0005] However, existing floodlights and their control systems cannot achieve time-sharing uniform brightness projection in specific projection scenarios. For example, when projecting light onto the vertical plane of a building with a set area, the floodlights can only roughly adjust their projection intensity based on ambient brightness due to the time-sharing changes in multiple projection-related parameters. However, due to the complexity of the surrounding environment, the reflective properties of the building's vertical plane, and its structural characteristics, the intensity of reflected light from the building's vertical plane is uncertain. At the same time, the intensity of sunlight and various projection-related environmental parameters change slightly throughout the day. This means that even at the same time of day and under the same environmental parameters, the same projection intensity of the floodlights will not result in the same brightness projection effect on the building's vertical plane, let alone guarantee the same brightness projection effect throughout the day. Therefore, existing floodlights and their control systems suffer from insufficient control precision and low level of control intelligence, making it difficult to guarantee time-sharing uniform projection effects in specific projection scenarios. They cannot achieve the expected projection effect of maintaining time-sharing uniform overall brightness on the projected building's vertical plane. Summary of the Invention

[0006] To address the technical deficiencies in related fields, this invention provides a floodlight and its control system that adjust the intensity of projected light according to the projection environment. This system enables projection operations on the vertical plane of a building with a set area. It trains a deep neural network multiple times using training data corresponding to multiple set times, and uses the trained deep neural network as an intelligent analysis model. This model intelligently analyzes the projected light intensity based on fixed parameters of the projection scene and environmental parameters at the current time, ensuring that the overall grayscale of the image area on the vertical plane of the building remains constant after the projection operation. This achieves a time-sharing uniform projection effect for a specific projection scene, improving the control precision and intelligence level of the floodlight and its control system.

[0007] According to a first aspect of the present invention, a floodlight is provided that can change the intensity of the projected light according to the projection environment, the floodlight comprising:

[0008] A light-projection actuator is used to project light onto a vertical plane of a building with a set area, wherein the projection surface of the light-projection actuator is parallel to the vertical plane of the building;

[0009] The directional measuring device includes a first measuring device, a second measuring device, a synchronous processing device, and a quartz oscillation device. The first measuring device is used to measure various environmental data of the environment where the light-emitting actuator is located at a certain set time. The second measuring device is used to measure various environmental data of the environment where the vertical plane of the building is located at a certain set time.

[0010] A planar acquisition device is disposed adjacent to the light projection execution device and is used to acquire an image of the scene on the vertical plane of the building at a certain set time under the light projection operation of the light projection execution device, so as to obtain a working scene image corresponding to a certain set time.

[0011] A signal interception device, connected to the planar acquisition device, is used to identify the imaging area of ​​the vertical plane of the building in the work scene image corresponding to a certain set time based on the geometric imaging features of the vertical plane of the building to obtain the projection imaging area at a certain set time, and to determine the overall gray value of the projection imaging area based on the gray values ​​corresponding to each constituent pixel of the projection imaging area.

[0012] The training device is connected to the directional measurement device and the signal interception device, respectively. It is used to take the set plane area, target gray value, distance between the plane acquisition device and the light projection execution device, environmental data of the environment where the light projection execution device is located at a certain set time, and environmental data of the environment where the vertical plane of the building is located at a certain set time as the item-by-item input of the deep neural network. The intensity of the projected light after the light projection execution device is adjusted at the next time after a certain set time is used as the item-by-item input of the deep neural network. The deep neural network is trained once, and multiple training data corresponding to multiple set times are used to train the deep neural network multiple times to obtain the trained deep neural network and output it as an intelligent analysis model.

[0013] An intensity resolution device is connected to both the light projection execution device and the training operation device. It is used to input the set plane area, target gray value, distance between the plane acquisition device and the light projection execution device, various environmental data of the environment where the light projection execution device is located at the current moment, and various environmental data of the environment where the vertical plane of the building is located at the current moment into the intelligent analysis model in parallel and execute the intelligent analysis model to obtain its output as the reference projection light intensity for achieving the goal of the overall gray value of the light projection imaging area being equal to the target gray value at the current moment and the next moment.

[0014] The reference projected light intensity is used as the preferred projected light intensity of the light-emitting actuator at the current moment and the next moment.

[0015] According to a second aspect of the present invention, a control system for a floodlight that changes the intensity of the projected light according to the projection environment is provided. The system is used to set the intensity of the projected light of the floodlight at the current moment and the next moment as a reference projected light intensity, wherein the reference projected light intensity is based on intelligent analysis of various environmental data of the environment where the floodlight is located at the current moment, various environmental data of the environment of the vertical plane of the building where the floodlight is projecting light at the current moment, and various fixed projection setting parameters using an intelligent analysis model.

[0016] Compared with the prior art, the present invention has at least the following key inventive points:

[0017] The first invention is a light projection actuator that projects light onto the vertical plane of a building with a set area. It employs an intelligent analysis model based on environmental data of the current environment, the current environment of the building's vertical plane, and fixed projection parameters. This model intelligently analyzes the projection light intensity that ensures the image area of ​​the building's vertical plane maintains a fixed overall grayscale value after the light projection operation. The intelligently analyzed projection light intensity is then used as the preferred projection light intensity for the light projection actuator at the next moment, thus providing a reliable solution for maintaining uniform brightness on the building's vertical plane after each light projection operation.

[0018] The second point of invention: To ensure the stability and effectiveness of the analysis results of the intelligent analysis model, multiple training data corresponding to multiple set times are used to train the deep neural network multiple times. The trained deep neural network is used as the intelligent analysis model. The total number of training sessions is monotonically positively correlated with the resolution of the work scene image. The resolution of the work scene image is represented by the arithmetic mean of the horizontal and vertical resolutions of the work scene image. In each specific training operation, various fixed projection settings, environmental data of the environment where the projection actuator is located at a certain set time, and environmental data of the environment where the vertical plane of the building is located at a certain set time are used as the input content of the deep neural network. The intensity of the projected light after the projection actuator is adjusted at the next set time is used as the single input content of the deep neural network, and a single training is performed on the deep neural network.

[0019] The third invention point: The timing for selecting a certain set time for each training session is the moment before the point in time when the overall gray value of the projection imaging area determined after a certain adjustment equals the target gray value. The intensity of the projected light after adjustment at the next selected set time is the intensity of the projected light from the projection actuator when the overall gray value of the projection imaging area determined after adjustment equals the target gray value. This enables the time-sharing acquisition of multiple training data corresponding to multiple set times, providing key basic data for the construction of intelligent analysis models. Attached Figure Description

[0020] The embodiments of the present invention will now be described with reference to the accompanying drawings, wherein:

[0021] Figure 1 This is a technical flowchart of a floodlight and its control system that change the intensity of the projected light according to the projection environment, according to the present invention.

[0022] Figure 2This is a schematic diagram of a floodlight that changes the intensity of the projected light according to the projection environment, as shown in Embodiment 1 of the present invention.

[0023] Figure 3 This is a schematic diagram of a floodlight that changes the intensity of the projected light according to the projection environment, as shown in Embodiment 2 of the present invention.

[0024] Figure 4 This is a schematic diagram of a floodlight that changes the intensity of the projected light according to the projection environment, as shown in Embodiment 3 of the present invention.

[0025] Figure 5 This is a schematic diagram of a floodlight that changes the intensity of the projected light according to the projection environment, as shown in Embodiment 4 of the present invention.

[0026] Figure 6 This is a schematic diagram of a floodlight that changes the intensity of the projected light according to the projection environment, as shown in Embodiment 5 of the present invention.

[0027] Figure 7 This is a schematic diagram of the control system of a floodlight that changes the intensity of the projected light according to the projection environment, as shown in Embodiment 6 of the present invention. Detailed Implementation

[0028] like Figure 1 As shown, a technical flowchart of a floodlight and its control system for changing the intensity of projected light according to the projection environment, as illustrated in this invention, is presented.

[0029] like Figure 1 As shown, the specific technical process of the present invention is as follows:

[0030] Process A: For the light projection device that projects light onto the vertical plane of a building with a set area, a smart analysis model is customized to analyze the next moment to achieve a time-division uniform brightness projection effect. The smart analysis model is a deep neural network that has been trained multiple times.

[0031] For example, to ensure the reliability and stability of the analysis results of the intelligent analysis model, the following two specific targeted designs are adopted: First, the deep neural network is trained multiple times using multiple sets of training data corresponding to multiple set times. Specifically, the selection time for each set time of training is the moment before the time point when the overall gray value of the projection imaging area determined after a certain adjustment equals the target gray value, and the intensity of the projected light after adjustment at the next selected set time is the intensity of the projected light of the projection actuator when the overall gray value of the projection imaging area determined after adjustment equals the target gray value; Second, the total number of training sessions is monotonically positively correlated with the resolution of the work scene image, and the resolution of the work scene image is represented by the arithmetic mean of the horizontal resolution and the vertical resolution of the work scene image.

[0032] Process B: Using the intelligent analysis model, based on the environmental data of the current environment where the light-emitting actuator is located, the environmental data of the current environment where the vertical plane of the building is located, and the fixed light-emitting setting parameters, intelligently analyze the light intensity that can ensure the overall grayscale of the image area of ​​the vertical plane of the building after the light-emitting operation remains at a fixed value in the next moment. The light intensity obtained by the intelligent analysis is used as the preferred light intensity of the light-emitting actuator in the next moment.

[0033] For example, the fixed projection settings parameters include the set plane area, target grayscale value, and distance between the plane acquisition device and the projection execution device;

[0034] Process C: When the next moment arrives, the light projection actuator uses the preferred projection light intensity corresponding to the next moment to project light onto the vertical plane of the building with a set area. The projection surface of the light projection actuator is parallel to the vertical plane of the building, thereby achieving a visual effect of uniform brightness on the vertical plane of the building after the projection is completed at each moment.

[0035] The key points of this invention are: the design of an intelligent analysis model for analyzing the intensity of projected light to achieve uniform light projection brightness in the next moment for a specific light projection scene; the targeted selection of multiple sets of training data corresponding to multiple set moments; and the selection mode of a monotonically positive correlation between the total number of training data and the resolution of the working scene image.

[0036] The present invention will now be specifically described by way of an embodiment of a floodlight that changes the intensity of the projected light according to the projection environment.

[0037] Example 1

[0038] Figure 2This is a schematic diagram of a floodlight that changes the intensity of the projected light according to the projection environment, as shown in Embodiment 1 of the present invention.

[0039] like Figure 2 As shown, the floodlight that changes the intensity of the projected light according to the projection environment includes the following components:

[0040] A light-projection actuator is used to project light onto a vertical plane of a building with a set area, wherein the projection surface of the light-projection actuator is parallel to the vertical plane of the building;

[0041] For example, the light projection actuator of the present invention can not only be used to project light onto the vertical plane of a building with a set planar area, but also be applied to other application areas such as lighting design for indoor stages;

[0042] The directional measuring device includes a first measuring device, a second measuring device, a synchronous processing device, and a quartz oscillation device. The first measuring device is used to measure various environmental data of the environment where the light-emitting actuator is located at a certain set time. The second measuring device is used to measure various environmental data of the environment where the vertical plane of the building is located at a certain set time.

[0043] For example, the quartz oscillating device generates a trigger signal at a fixed period to drive the synchronization processing device to perform synchronization control;

[0044] A planar acquisition device is disposed adjacent to the light projection execution device and is used to acquire an image of the scene on the vertical plane of the building at a certain set time under the light projection operation of the light projection execution device, so as to obtain a working scene image corresponding to a certain set time.

[0045] Specifically, the planar acquisition device may have a built-in CMOS sensor or CCD sensor. In addition, the planar acquisition device may also have a built-in filter structure, flexible circuit board, jitter adjustment unit and focus control unit.

[0046] A signal interception device, connected to the planar acquisition device, is used to identify the imaging area of ​​the vertical plane of the building in the work scene image corresponding to a certain set time based on the geometric imaging features of the vertical plane of the building to obtain the projection imaging area at a certain set time, and to determine the overall gray value of the projection imaging area based on the gray values ​​corresponding to each constituent pixel of the projection imaging area.

[0047] For example, a standard pattern can be used to represent the geometric imaging features of the vertical plane of a building, wherein the edge shape of the standard pattern is the same as the edge shape of the vertical plane of the building;

[0048] The training device is connected to the directional measurement device and the signal interception device, respectively. It is used to take the set plane area, target gray value, distance between the plane acquisition device and the light projection execution device, environmental data of the environment where the light projection execution device is located at a certain set time, and environmental data of the environment where the vertical plane of the building is located at a certain set time as the item-by-item input of the deep neural network. The intensity of the projected light after the light projection execution device is adjusted at the next time after a certain set time is used as the item-by-item input of the deep neural network. The deep neural network is trained once, and multiple training data corresponding to multiple set times are used to train the deep neural network multiple times to obtain the trained deep neural network and output it as an intelligent analysis model.

[0049] For example, training a deep neural network multiple times using multiple sets of training data corresponding to multiple set times to obtain a trained deep neural network and output it as an intelligent analysis model includes: optionally using a numerical simulation mode to perform a simulation operation of the process of training a deep neural network multiple times using multiple sets of training data corresponding to multiple set times to obtain a trained deep neural network and output it as an intelligent analysis model.

[0050] An intensity resolution device is connected to both the light projection execution device and the training operation device. It is used to input the set plane area, target gray value, distance between the plane acquisition device and the light projection execution device, various environmental data of the environment where the light projection execution device is located at the current moment, and various environmental data of the environment where the vertical plane of the building is located at the current moment into the intelligent analysis model in parallel and execute the intelligent analysis model to obtain its output as the reference projection light intensity for achieving the overall gray value of the light projection imaging area at the current moment and the next moment equal to the target gray value.

[0051] Specifically, the following steps are taken: The set plane area, target grayscale value, distance between the plane acquisition device and the projection execution device, various environmental data of the environment where the projection execution device is located at the current moment, and various environmental data of the environment where the vertical plane of the building is located at the current moment are input into the intelligent analysis model in parallel. The intelligent analysis model is then executed to obtain its output: the reference projection light intensity for achieving an overall grayscale value of the projection imaging area equal to the target grayscale value at the current moment and the next moment. This includes: using the set plane area, target grayscale value, distance between the plane acquisition device and the projection execution device, various environmental data of the environment where the projection execution device is located at the current moment, and various environmental data of the environment where the vertical plane of the building is located at the current moment as each input item to the intelligent analysis model; and using the reference projection light intensity for achieving an overall grayscale value of the projection imaging area equal to the target grayscale value at the current moment and the next moment as a single output item of the intelligent analysis model.

[0052] The reference projected light intensity is used as the preferred projected light intensity of the light-emitting actuator at the current moment and the next moment.

[0053] The method of using the intensity of the projected light after adjustment of the light-emitting actuator at a certain set time as a single input to the deep neural network includes: the intensity of the projected light after adjustment is the intensity of the projected light of the light-emitting actuator when the overall gray value of the light-emitting imaging area is equal to the target gray value, the target gray value is a fixed value set, and the selection of the certain set time is the time before the time point when the overall gray value of the light-emitting imaging area is equal to the target gray value after a certain adjustment.

[0054] Wherein, the adjusted projection light intensity is the projection light intensity of the projection actuator when the overall gray value of the projection imaging area is equal to the target gray value, the target gray value is a fixed value set, and the selection time of a certain set time is the moment before the time point when the overall gray value of the projection imaging area is equal to the target gray value after a certain adjustment, including: the interval between each adjacent moment on the time axis is equal.

[0055] For example, the equal interval between adjacent moments on the timeline includes: the equal interval between adjacent moments on the timeline is a fixed value, wherein the fixed value is a specific value of an integer minute between 1 minute and 10 minutes.

[0056] The deep neural network is trained multiple times using multiple sets of training data corresponding to multiple set times to obtain the trained deep neural network and output it as an intelligent analysis model. The training data corresponding to each set time includes the set plane area, target gray value, distance between the plane acquisition device and the projection execution device, various environmental data of the environment where the projection execution device is located at the set time, and various environmental data of the environment where the vertical plane of the building is located at the set time as the input content of the deep neural network. It also includes the intensity of the projected light after the projection execution device is adjusted at the next time of the set time.

[0057] Example 2

[0058] Figure 3 This is a schematic diagram of a floodlight that changes the intensity of the projected light according to the projection environment, as shown in Embodiment 2 of the present invention.

[0059] like Figure 3 As shown, with Figure 2 Unlike the embodiments described above, the floodlight that adjusts the intensity of the projected light according to the projection environment also includes the following components:

[0060] An angle adjustment mechanism, connected to a planar acquisition device, is used to adjust the lens plane of the imaging lens of the planar acquisition device to maintain its parallelism with the vertical plane of the building.

[0061] For example, the angle adjustment mechanism includes a first sensing unit and a second sensing unit, used to detect the tilt angle of the vertical plane of the building and the tilt angle of the lens plane of the imaging lens of the planar acquisition device, respectively.

[0062] Example 3

[0063] Figure 4 This is a schematic diagram of a floodlight that changes the intensity of the projected light according to the projection environment, as shown in Embodiment 3 of the present invention.

[0064] like Figure 4 As shown, with Figure 2 Unlike the embodiments described above, the floodlight that adjusts the intensity of the projected light according to the projection environment also includes the following components:

[0065] The timing service mechanism is connected to the training operation device, the directional measurement device, the signal interception device, and the intensity analysis device respectively, and is used to provide the timing signals required by the training operation device, the directional measurement device, the signal interception device, and the intensity analysis device respectively.

[0066] For example, the timing service mechanism can be implemented by a programmable logic device and includes multiple timing service units for providing the timing signals required by the training operation device, the directional measurement device, the signal interception device, and the intensity analysis device, respectively.

[0067] Example 4

[0068] Figure 5 This is a schematic diagram of a floodlight that changes the intensity of the projected light according to the projection environment, as shown in Embodiment 4 of the present invention.

[0069] like Figure 5 As shown, with Figure 2 Unlike the embodiments described above, the floodlight that adjusts the intensity of the projected light according to the projection environment also includes the following components:

[0070] A parallel communication bus is connected to the training operation device, the directional measurement device, the signal interception device, and the intensity analysis device respectively, and is used to establish parallel communication links between each pair of the training operation device, the directional measurement device, the signal interception device, and the intensity analysis device.

[0071] For example, establishing parallel communication links between each pair of training operation devices, directional measurement devices, signal interception devices, and intensity analysis devices includes: the parallel communication links being 8-bit, 16-bit, or 32-bit.

[0072] Example 5

[0073] Figure 6 This is a schematic diagram of a floodlight that changes the intensity of the projected light according to the projection environment, as shown in Embodiment 5 of the present invention.

[0074] like Figure 6 As shown, with Figure 2 Unlike the embodiments described above, the floodlight that adjusts the intensity of the projected light according to the projection environment also includes the following components:

[0075] An information storage mechanism, connected to the training operation device, is used to store various model information of the intelligent analysis model;

[0076] Specifically, the information storage mechanism can be selected from one of the following: MMC storage device, TF storage device, CF storage device, and dynamic storage device.

[0077] Next, the various embodiments of the present invention will be described in detail.

[0078] In a floodlight according to any embodiment of the present invention, the intensity of the projected light is changed according to the projection environment:

[0079] Determining the overall gray value of the projection imaging area based on the gray values ​​corresponding to each constituent pixel of the projection imaging area includes: removing the minimum value of a first set ratio and the maximum value of a second set ratio from each gray value to obtain a remaining plurality of gray values, and performing an arithmetic mean calculation on the remaining plurality of gray values ​​to obtain the overall gray value of the projection imaging area.

[0080] Specifically, for each gray value, removing the minimum value of the first set ratio and the maximum value of the second set ratio to obtain the remaining multiple gray values, and performing an arithmetic mean calculation on the remaining multiple gray values ​​to obtain the overall gray value of the projection imaging area includes: each gray value is between 0 and 255.

[0081] Specifically, for each gray value, removing the minimum value of the first set ratio and the maximum value of the second set ratio to obtain the remaining multiple gray values, and calculating the arithmetic mean of the remaining multiple gray values ​​to obtain the overall gray value of the projection imaging area includes: the value of the first set ratio and the value of the second set ratio are equal and both are less than the set ratio threshold.

[0082] In a floodlight according to any embodiment of the present invention, the intensity of the projected light is changed according to the projection environment:

[0083] The environmental data of the environment where the light-emitting actuator is located at a certain set time include the solar radiation, ambient brightness, and intensity of reflected light from the vertical plane of the building at that certain set time.

[0084] For example, the environmental data of the environment where the light-emitting actuator is located at a certain set time includes the solar radiation, ambient brightness, and intensity of reflected light from the vertical plane of the building at the certain set time. The solar radiation, ambient brightness, and intensity of reflected light from the vertical plane of the building at the certain set time are represented by binary values.

[0085] Among them, the environmental data of the environment in which the vertical plane of the building is located at a certain set time include the solar radiation and ambient brightness of the environment in which the vertical plane of the building is located at a certain set time;

[0086] The second measuring device is used to measure various environmental data of the environment of the vertical plane of the building at a certain set time, including: using multiple measuring units arranged around the vertical plane of the building and equidistant from the center of the vertical plane of the building to simultaneously measure each environmental data of their respective locations at a certain set time to obtain multiple specific measurement values, and averaging the multiple specific measurement values ​​to obtain the specific value of the environmental data.

[0087] And in a floodlight according to any embodiment of the present invention, the intensity of the projected light is changed according to the projection environment:

[0088] The first measuring device is used to measure various environmental data of the environment where the light-emitting actuator is located at a certain set time. The second measuring device is used to measure various environmental data of the environment where the vertical plane of the building is located at a certain set time. The synchronization processing device is connected to the first measuring device and the second measuring device respectively, and is used to perform synchronous control of the measurement actions of the first measuring device and the second measuring device under the same clock pulse signal.

[0089] The synchronization processing device is connected to both the first measuring device and the second measuring device, and is used to perform synchronous control of the measurement actions of both the first measuring device and the second measuring device under the same clock pulse signal. This includes: the quartz oscillator is connected to the synchronization processing device and is used to provide the synchronization processing device with a clock pulse signal for performing synchronous control.

[0090] The first measuring device is used to measure various environmental data of the environment where the light-emitting actuator is located at a certain set time, including: the first measuring device is set on the support frame that fixes the light-emitting actuator;

[0091] The synchronization processing device is connected to the first measuring device and the second measuring device respectively, and is used to perform synchronous control of the measurement actions of the first measuring device and the second measuring device under the same clock pulse signal, including: using the same rising edge or the same falling edge of a square wave to perform synchronous control of the measurement actions of the first measuring device and the second measuring device.

[0092] Example 6

[0093] Figure 7 This is a schematic diagram of the control system of a floodlight that changes the intensity of the projected light according to the projection environment, as shown in Embodiment 6 of the present invention.

[0094] like Figure 7 The control system includes a controller and a control interface unit. The control interface unit is connected to the controller and also to a controlled floodlight that changes the intensity of the projected light according to the projection environment.

[0095] The control system is used to change the intensity of the projected light of the floodlight according to the projection environment in the various embodiments described above, so as to set the intensity of the projected light of the floodlight at the current moment and the next moment as the reference projected light intensity. The reference projected light intensity is based on the intelligent analysis of various environmental data of the environment where the floodlight is located at the current moment, various environmental data of the environment of the vertical plane of the building where the floodlight is performing the light projection operation at the current moment, and various fixed projection setting parameters using an intelligent analysis model.

[0096] In addition, the present invention may also refer to the following technical contents to highlight the significant technical progress of the present invention:

[0097] The deep neural network is trained multiple times using multiple sets of training data corresponding to multiple set times, so as to obtain the trained deep neural network and output it as an intelligent analysis model. The total number of training data from multiple training sessions is monotonically positively correlated with the resolution of the work scene image.

[0098] Among them, the method of training the deep neural network multiple times using multiple sets of training data corresponding to multiple set times to obtain the trained deep neural network and output it as an intelligent analysis model also includes: using a numerical mapping formula to represent the monotonically positive correlation between the total number of training sessions and the resolution of the work scene image.

[0099] For example, the numerical mapping formula used to represent the monotonically positive correlation between the total number of training iterations and the resolution of the work scene image includes: when the resolution of the work scene image is standard definition, the corresponding total number of training iterations is 100; when the resolution of the work scene image is high definition, the corresponding total number of training iterations is 150; and when the resolution of the work scene image is ultra-high definition, the corresponding total number of training iterations is 200.

[0100] Specifically, according to the standard terminology, ultra-high definition (UHD), high definition (HD), and standard definition (SD) should have resolutions of 1920*1080 (also called 1080p), 1280*720 (also called 720p), and 720*480 (also called 480p), respectively. Obviously, there are other resolutions with different levels of clarity. For example, 2K, as mentioned in high-definition televisions or movie screens, is 2048*1152, and 4K is 4096*2160.

[0101] The numerical mapping formula used to represent the monotonically positive correlation between the total number of training iterations and the resolution of the work scene image includes: the numerical mapping formula is a single-input single-output formula, the single input parameter of the numerical mapping formula is the arithmetic mean of the horizontal and vertical resolutions of the work scene image, and the single output parameter of the numerical mapping formula is the total number of training iterations corresponding to the arithmetic mean of the horizontal and vertical resolutions of the work scene image.

[0102] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0103] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented using software plus a general-purpose hardware platform, or of course, using hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0104] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A floodlight that adjusts the intensity of projected light according to the projection environment, characterized in that, The floodlight includes: A light-projection actuator is used to project light onto a vertical plane of a building with a set area, wherein the projection surface of the light-projection actuator is parallel to the vertical plane of the building; The directional measuring device includes a first measuring device, a second measuring device, a synchronous processing device, and a quartz oscillation device. The first measuring device is used to measure various environmental data of the environment where the light-emitting actuator is located at a certain set time. The second measuring device is used to measure various environmental data of the environment where the vertical plane of the building is located at a certain set time. A planar acquisition device is disposed adjacent to the light projection execution device and is used to acquire an image of the scene on the vertical plane of the building at a certain set time under the light projection operation of the light projection execution device, so as to obtain a working scene image corresponding to a certain set time. A signal interception device, connected to the planar acquisition device, is used to identify the imaging area of ​​the vertical plane of the building in the work scene image corresponding to a certain set time based on the geometric imaging features of the vertical plane of the building to obtain the projection imaging area at a certain set time, and to determine the overall gray value of the projection imaging area based on the gray values ​​corresponding to each constituent pixel of the projection imaging area. The training device is connected to the directional measurement device and the signal interception device, respectively. It is used to take the set plane area, target gray value, distance between the plane acquisition device and the light projection execution device, environmental data of the environment where the light projection execution device is located at a certain set time, and environmental data of the environment where the vertical plane of the building is located at a certain set time as the input content of the deep neural network. The intensity of the projected light after the light projection execution device is adjusted at the next time is taken as the single output content of the deep neural network. The deep neural network is trained once, and multiple training data corresponding to multiple set times are used to train the deep neural network multiple times to obtain the trained deep neural network and output it as an intelligent analysis model. An intensity resolution device is connected to both the light projection execution device and the training operation device. It is used to input the set plane area, target gray value, distance between the plane acquisition device and the light projection execution device, various environmental data of the environment where the light projection execution device is located at the current moment, and various environmental data of the environment where the vertical plane of the building is located at the current moment into the intelligent analysis model in parallel and execute the intelligent analysis model to obtain its output as the reference projection light intensity for achieving the overall gray value of the light projection imaging area at the current moment and the next moment equal to the target gray value. The reference projected light intensity is used as the projected light intensity of the light-emitting actuator at the current moment and the next moment. The environmental data of the environment where the light-emitting actuator is located at a certain set time includes the solar radiation, ambient brightness, and intensity of reflected light from the vertical plane of the building at the certain set time. The total number of training iterations is monotonically positively correlated with the resolution of the work scene image. A numerical mapping formula is used to represent the monotonically positive correlation between the total number of training iterations and the resolution of the work scene image. The numerical mapping formula is a single-input single-output formula. Its single input parameter is the arithmetic mean of the horizontal and vertical resolutions of the work scene image, and its single output parameter is the total number of training iterations corresponding to the arithmetic mean of the horizontal and vertical resolutions of the work scene image.

2. The floodlight that changes the intensity of the projected light according to the projection environment as described in claim 1, characterized in that: Using the intensity of the projected light after adjustment of the projection actuator at a certain set time as a single output of the deep neural network includes: the intensity of the projected light after adjustment is the intensity of the projected light of the projection actuator when the overall gray value of the projection imaging area is equal to the target gray value, the target gray value is a fixed value set, and the selection of the certain set time is the time before the time point when the overall gray value of the projection imaging area is equal to the target gray value after a certain adjustment. Wherein, the adjusted projection light intensity is the projection light intensity of the projection actuator when the overall gray value of the projection imaging area is equal to the target gray value, the target gray value is a fixed value set, and the selection time of a certain set time is the moment before the time point when the overall gray value of the projection imaging area is equal to the target gray value after a certain adjustment, including: the interval between each adjacent moment on the time axis is equal. The deep neural network is trained multiple times using multiple sets of training data corresponding to multiple set times to obtain the trained deep neural network and output it as an intelligent analysis model. The training data corresponding to each set time includes the set plane area, target gray value, distance between the plane acquisition device and the projection execution device, various environmental data of the environment where the projection execution device is located at the set time, and various environmental data of the environment where the vertical plane of the building is located at the set time as the input content of the deep neural network. It also includes the intensity of the projected light after the projection execution device is adjusted at the next time of the set time.

3. The floodlight that changes the intensity of the projected light according to the projection environment as described in claim 2, characterized in that, The floodlight also includes: An angle adjustment mechanism, connected to a planar acquisition device, is used to adjust the lens plane of the imaging lens of the planar acquisition device to maintain its parallelism with the vertical plane of the building.

4. The floodlight that changes the intensity of the projected light according to the projection environment as described in claim 2, characterized in that, The floodlight also includes: The timing service mechanism is connected to the training operation device, the directional measurement device, the signal interception device, and the intensity analysis device, respectively, to provide the timing signals required by each of them.

5. The floodlight that changes the intensity of the projected light according to the projection environment as described in claim 2, characterized in that, The floodlight also includes: A parallel communication bus is connected to the training operation device, the directional measurement device, the signal interception device, and the intensity analysis device, respectively, to establish parallel communication links between each pair of the training operation device, the directional measurement device, the signal interception device, and the intensity analysis device.

6. The floodlight that changes the intensity of the projected light according to the projection environment as described in claim 2, characterized in that, The floodlight also includes: An information storage mechanism, connected to the training operation device, is used to store various model information of the intelligent analysis model.

7. The floodlight that changes the intensity of the projected light according to the projection environment as described in any one of claims 2-6, characterized in that: Determining the overall gray value of the projection imaging area based on the gray values ​​corresponding to each constituent pixel of the projection imaging area includes: removing the minimum value of a first set ratio and the maximum value of a second set ratio from each gray value to obtain a remaining plurality of gray values, and performing an arithmetic mean calculation on the remaining plurality of gray values ​​to obtain the overall gray value of the projection imaging area. Specifically, for each gray value, removing the minimum value of the first set ratio and the maximum value of the second set ratio to obtain the remaining multiple gray values, and calculating the arithmetic mean of the remaining multiple gray values ​​to obtain the overall gray value of the projection imaging area includes: the value of the first set ratio and the value of the second set ratio are equal and both are less than the set ratio threshold.

8. The floodlight that changes the intensity of the projected light according to the projection environment as described in any one of claims 2-6, characterized in that: The second measuring device is used to measure various environmental data of the environment in which the vertical plane of the building is located at a certain set time. This includes: using multiple measuring units arranged around the vertical plane of the building and equidistant from the center of the vertical plane of the building, simultaneously measuring each environmental data at their respective locations at a certain set time to obtain multiple specific measurement values, and averaging the multiple specific measurement values ​​to obtain the specific value of the environmental data.

9. The floodlight that changes the intensity of the projected light according to the projection environment as described in any one of claims 2-6, characterized in that: The first measuring device is used to measure various environmental data of the environment where the light-emitting actuator is located at a certain set time. The second measuring device is used to measure various environmental data of the environment where the vertical plane of the building is located at a certain set time. The synchronization processing device is connected to the first measuring device and the second measuring device respectively, and is used to perform synchronous control of the measurement actions of the first measuring device and the second measuring device under the same clock pulse signal. The synchronization processing device is connected to both the first measuring device and the second measuring device, and is used to perform synchronous control of the measurement actions of both the first measuring device and the second measuring device under the same clock pulse signal. This includes: the quartz oscillator is connected to the synchronization processing device and is used to provide the synchronization processing device with a clock pulse signal for performing synchronous control. The first measuring device is used to measure various environmental data of the environment where the light-emitting actuator is located at a certain set time, including: the first measuring device is set on the support frame that fixes the light-emitting actuator; The synchronization processing device is connected to the first measuring device and the second measuring device respectively, and is used to perform synchronous control of the measurement actions of the first measuring device and the second measuring device under the same clock pulse signal, including: using the same rising edge or the same falling edge of a square wave to perform synchronous control of the measurement actions of the first measuring device and the second measuring device.

10. A control system for a floodlight that changes the intensity of projected light according to the projection environment, the system being used to set the intensity of the projected light of the floodlight at the current moment and the next moment as a reference projected light intensity, wherein the reference projected light intensity is based on intelligent analysis of various environmental data of the environment where the floodlight is located at the current moment, various environmental data of the environment of the vertical plane of the building where the floodlight performs the light projection operation at the current moment, and various fixed projection setting parameters using an intelligent analysis model.

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