CN216905367U

CN216905367U - Indoor dimming system

Info

Publication number: CN216905367U
Application number: CN202122408402.3U
Authority: CN
Inventors: 姜玉稀; 陈琪; 帅应红; 文星
Original assignee: Shanghai Sansi Technology Co Ltd; Shanghai Sansi Electronic Engineering Co Ltd; Jiashan Sansi Photoelectric Technology Co Ltd; Pujiang Sansi Optoelectronics Technology Co Ltd
Current assignee: Shanghai Sansi Technology Co Ltd; Shanghai Sansi Electronic Engineering Co Ltd; Jiashan Sansi Photoelectric Technology Co Ltd; Pujiang Sansi Optoelectronics Technology Co Ltd
Priority date: 2021-09-30
Filing date: 2021-09-30
Publication date: 2022-07-05
Anticipated expiration: 2031-09-30

Abstract

The application provides an indoor dimming system, includes: at least one lighting assembly disposed in the indoor space; the sensing assembly is arranged in the indoor space and used for detecting lighting parameters; a control module communicatively coupled to the illumination assembly and the sensing assembly; the control module acquires theoretical lighting parameters of a plurality of acquisition points and correspondingly adjusts the lighting assembly according to the theoretical lighting parameters of the acquisition points so as to adjust the actually measured lighting parameters of the designated position to be consistent with preset lighting parameters; and the theoretical lighting parameters of each acquisition point are reversely obtained by taking the preset lighting parameters as output parameters of a pre-training lighting parameter prediction model. This application is to ambient illumination change, and the dimming system who utilizes sensing component, control module and lighting components to establish adjusts indoor lighting parameter in real time, carries out constant illumination lighting control to the indoor environment under the different environment, effectively reduces the illumination energy consumption, improves illuminating source's availability ratio.

Description

Indoor dimming system

Technical Field

The application relates to the field of LED dimming, in particular to an indoor dimming system.

Background

The lamps and lanterns provide the infrastructure of illumination function and decorative effect for the interior space, need the visual demand of comprehensive consideration place, different service environment when carrying out light design, for example the lighting environment in places such as exhibition room, hospital, school, library, office, if the not good illumination effect is extremely easy to cause visual fatigue, causes harm eyesight, reduces study work efficiency scheduling problem.

However, the existing indoor lighting does not consider the influence of a plurality of external factors such as the illumination intensity of natural light, the incident direction of light, indoor environment lighting and the like on the indoor lighting environment, so that the problems of poor indoor illumination, uneven distribution and the like are caused.

SUMMERY OF THE UTILITY MODEL

In view of the foregoing disadvantages of the prior art, an object of the present application is to provide an indoor dimming method, system, terminal and medium based on model prediction, which are used to solve the problems that the existing indoor lighting does not consider the influence of external factors such as the illumination intensity of natural light, the incident direction of light, and indoor environment lighting on the indoor lighting environment, so that the indoor illumination is not good, and the distribution is not uniform.

To achieve the above and other related objects, a first aspect of the present application provides a model prediction based indoor dimming method, including: the method comprises the steps that preset lighting parameters at a given position in an indoor space are used as output parameters of a pre-training lighting parameter prediction model, so that a plurality of theoretical lighting parameters of a plurality of acquisition points in the indoor space, which are used as model input parameters, are reversely obtained; the control module acquires theoretical lighting parameters of a plurality of acquisition points and correspondingly adjusts the lighting assembly according to the theoretical lighting parameters of the acquisition points so as to adjust the actually measured lighting parameters of the designated position to be consistent with preset lighting parameters.

In some embodiments of the first aspect of the present application, the control module is in time communication with the lighting assembly and the sensing assembly through an integrated communication module, and the communication mode includes wireless communication and wired communication; the communication module comprises a Bluetooth communication module, a WiFi communication module, a mobile network communication module, a ZigBee communication module, an NB-IoT communication module or a MavLink communication module.

In some embodiments of the first aspect of the present application, the lighting assembly comprises one or more lighting fixtures; in the dimming process, the group of lighting lamps is used as a dimming object to perform grouped dimming, and/or the single lighting lamp is used as the dimming object to perform individual dimming.

In some embodiments of the first aspect of the present application, the type of the lighting fixture comprises one or more combinations of a ceiling lamp, a wall lamp, a spot lamp, a table lamp, a floor lamp, a classroom lamp, a building lamp, and a mining lamp.

In some embodiments of the first aspect of the present application, the sensing component comprises any one or a combination of: illuminance sensor, humidity sensor, temperature sensor.

In some embodiments of the first aspect of the present application, the illumination parameters comprise any one or a combination of parameters: illuminance, illuminance uniformity, color temperature, color rendering index, luminous flux, brightness.

In some embodiments of the first aspect of the present application, the control module comprises a central processing unit, a digital signal processor, an application specific integrated circuit, a field programmable gate array, discrete gate or transistor logic, or discrete hardware components.

In some embodiments of the first aspect of the present application, the sensing component is configured to collect measured lighting parameters of a plurality of collection points in the indoor space, and transmit the measured lighting parameters to the control module, so as to obtain a lighting parameter prediction model of any specified position in the indoor space after being input into a deep neural network for training.

As described above, the indoor dimming system of the present application has the following beneficial effects: this application is to ambient illumination change, and the dimming system who utilizes sensing assembly, control module and lighting assembly to establish adjusts indoor lighting parameter in real time to carry out the illumination control of permanent illuminance to indoor environment, a certain appointed area/plane/position under the different environment, indoor high-efficient illumination, even illuminance, the comfortable lighting environment of vision of keeping all the time, effectively reduce the illumination energy consumption, improve illumination light source's effective utilization.

Drawings

Fig. 1 is a schematic structural diagram of an indoor dimming system according to an embodiment of the present application.

Fig. 2 is a schematic diagram of a classroom lighting application scene in an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application is provided by way of specific examples, and other advantages and effects of the present application will be readily apparent to those skilled in the art from the disclosure herein. The present application is capable of other and different embodiments and its several details are capable of modifications and/or changes in various respects, all without departing from the spirit of the present application. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.

It is noted that in the following description, reference is made to the accompanying drawings which illustrate several embodiments of the present application. It is to be understood that other embodiments may be utilized and that mechanical, structural, electrical, and operational changes may be made without departing from the spirit and scope of the present application. The following detailed description is not to be taken in a limiting sense, and the scope of embodiments of the present application is defined only by the claims of the issued patent. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. Spatially relative terms, such as "upper," "lower," "left," "right," "lower," "below," "lower," "above," "upper," and the like, may be used herein to facilitate describing one element or feature's relationship to another element or feature as illustrated in the figures.

In this application, unless expressly stated or limited otherwise, the terms "mounted," "connected," "secured," "retained," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.

Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," and/or "comprising," when used in this specification, specify the presence of stated features, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, operations, elements, components, items, species, and/or groups thereof. The terms "or" and/or "as used herein are to be construed as inclusive or meaning any one or any combination. Thus, "A, B or C" or "A, B and/or C" means "any of the following: a; b; c; a and B; a and C; b and C; A. b and C ". An exception to this definition will occur only when a combination of elements, functions or operations are inherently mutually exclusive in some way.

In order to solve the technical problems in the background art, the utility model provides an indoor constant-illumination dimming system and method integrating environment, which can enable an indoor space, a certain designated area, a plane or a position to always keep constant-illumination. In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions in the embodiments of the present invention are further described in detail by the following embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the utility model and are not intended to limit the utility model.

Fig. 1 shows a schematic structural diagram of an indoor dimming system according to an embodiment of the present invention. The dimming area cooperative control system comprises at least one lighting assembly 11, at least one sensing assembly 12 and a control module 13. The lighting assembly 11 is arranged in the indoor space and used for providing lighting for the indoor space; the sensing assembly 12 is also located in the indoor space for monitoring lighting parameters; the control module 13 communicatively couples the illumination assembly 11 and the sensing assembly 12.

It should be noted that the control module 13, the sensing assembly 12 and the lighting assembly 11 can be connected in communication through an integrated communication module, and the communication mode includes a wireless communication connection and a wired communication connection, for example: a bluetooth communication module, a WiFi communication module, a mobile network communication module, a ZigBee communication module, an NB-IoT communication module, or a MavLink communication module, etc., which is not limited in this embodiment.

Each of the lighting lamp sets 11 includes at least one lighting lamp, and the types of the lighting lamps include, but are not limited to, one or more combinations of a ceiling lamp, a pendant lamp, a wall lamp, a spot lamp, a table lamp, a floor lamp, a classroom lamp, a building lamp, and a mining lamp. In the dimming process, the group of lighting lamps can be used as dimming objects to perform grouped dimming, and/or the single lighting lamp can be used as the dimming object to perform individual dimming.

When the lamps are controlled independently, the control module controls any one of the lamps, and each lamp receives the control signal sent by the control module and correspondingly regulates and controls the lighting state of the lamp according to the control signal; when the lamps are controlled in groups, the control module respectively controls any one group of lamps in the lamps, and each group of lamps respectively receives the control signal sent by the control module and correspondingly regulates and controls the lighting state of the lamps according to the control signal. It should be noted that the light fixtures may be arranged in groups according to rules such as layout mode, lighting area, and the like. For example, the same row of lamps in the indoor lamps are set as the same group of lamps and are divided into a first row of lamps, a second row of lamps and a third row of lamps, each row of lamps is controlled as the same group of lamps, the control module can send a control signal to any row of lamps, and after the second row of lamps receive the control signal sent by the control module, the lighting state of the second row of lamps is regulated and controlled according to the control signal.

The sensing assembly 12 is mainly used for collecting lighting parameters of an indoor environment, and can be equipped with one or more sensors according to an indoor area or an actual use requirement. The type of sensor includes, but is not limited to, an illuminance sensor, a humidity sensor, a temperature sensor, etc. The illumination sensor is used for acquiring illumination parameters in an indoor environment in real time, wherein the illumination parameters include but are not limited to illumination, illumination uniformity, color temperature, color rendering index and the like; the humidity sensor and the temperature sensor are respectively used for acquiring humidity parameters and temperature parameters of the indoor environment. Optionally, the sensors may be interconnected in a wired or wireless manner, so that the sensors may be cooperatively arranged and share information.

Further, when equipped with one illuminance sensor, the illuminance sensor is preferably mounted on the lighting parameter collection face, area or position, or mounted on the ceiling of the room and directed toward the lighting parameter collection face, area or position. When a plurality of illuminance sensors are provided, the illuminance sensors may be respectively disposed at different positions according to the environment, for example, mounted on the lighting parameter collection surface, mounted on the ceiling of the room, mounted toward the lighting window, or the like.

The control module 13 may be a hardware processing element that is set up separately, or may be implemented by hardware devices such as a system-on-a-chip (SOC) integrated on a chip, and has signal processing capability; the control module includes, but is not limited to, a Central Processing Unit (CPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, and the like.

When the lighting assembly in the room is controlled, the illuminance value at any point of the plane may be replaced by the illuminance value at any other position in the room, that is, the sensing assembly installed at any position may generate an illuminance transfer ratio uniquely corresponding to a certain plane/a certain area.

In some examples, the control module 13 obtains theoretical lighting parameters of a plurality of collection points, and adjusts the lighting assembly 11 according to the theoretical lighting parameters of each collection point, so as to adjust the measured lighting parameters of the designated location to be consistent with preset lighting parameters; and the theoretical lighting parameters of each acquisition point are reversely obtained by taking the preset lighting parameters as output parameters of a pre-training lighting parameter prediction model. Adjusting the lighting assemblies 11 mainly means that the control module 13 generates lighting control instructions of the lighting assemblies 11 according to theoretical lighting parameters of the collection points, and the lighting assemblies 11 receive the lighting control instructions and then adjust the lighting control instructions to corresponding lighting states to keep constant illumination, namely, automatically perform illumination compensation along with changes of indoor environments.

It is worth emphasizing that the indoor dimming system provided by the utility model is a set of hardware system, the lighting assembly, the sensing assembly and the control module included in the indoor dimming system are also hardware modules, and the hardware system can be used alone or in combination with software or programs for realizing the function of training the deep neural network. It should be understood that the utility model itself is to be protected and does not involve any updating of software technology. For example, the sensing component 12 is configured to collect measured lighting parameters of a plurality of collection points in the indoor space, and transmit the measured lighting parameters to the control module 13, so that the control module 13 inputs the measured lighting parameters into a deep neural network for training to obtain a lighting parameter prediction model of any specified position in the indoor space. It should be noted that the control module may train the deep neural network by itself, or may transmit the received measured lighting parameters to an external device (for example, upload to a cloud server) for the external device to train the deep neural network.

In some examples, the lighting parameters include any one or a combination of parameters: illuminance, illuminance uniformity, color temperature, color rendering index, luminous flux, and brightness, which are not limited in this embodiment. In addition, the adjusting of the lighting assembly 11 to the corresponding lighting state includes adjusting any one or more combinations of the lighting luminous flux, the lighting color temperature, the lighting color and the lighting time.

For ease of understanding, the control module 13, in conjunction with software or programs, may implement the following modeling process: the lighting parameters of a specified position in a room are preset. Acquiring measured lighting parameter X of multiple acquisition points in indoor environment₁…X_N. The collected actually measured lighting parameter X₁…X_NAnd inputting the data into a deep neural network for training to obtain a lighting parameter prediction model corresponding to each specified position. And predicting the space position of the illumination to be predicted by using the illumination parameter prediction model, outputting an illumination prediction result of the space position of the illumination to be predicted, and outputting a light-weight fitting equation Y (model (X) in a light load manner. And substituting the preset illumination of the designated position as a Y value into the light-weight fitting equation, and reversely predicting the theoretical illumination parameters of the plurality of acquisition points corresponding to the designated position in the illumination parameter Y. Regulating and controlling the indoor illumination state according to the theoretical illumination parameters of a plurality of acquisition points obtained by reverse prediction, thereby keeping the preset constant illumination at the appointed position in the indoor environmentAnd (4) degree.

It should be noted that the deep neural network is a technology in the field of machine learning, and can be understood as a neural network with many hidden layers, including a DNN forward Propagation algorithm or a DNN Back Propagation (Back Propagation BP) algorithm. The constant illumination model of the BP neural network can be self-adaptive and self-learned, and has strong nonlinear mapping capability and strong generalization capability.

Further, the control module 13 receives the first lighting parameter collected by the sensing component 12, and performs repeated learning training by using the first lighting parameter as an input value of the BP neural network, so as to obtain a prediction model corresponding to the lighting parameter at any specified position (such as any region, any plane, or any point) in the indoor environment and the first lighting parameter. The method comprises the steps of predicting the lighting parameters of any indoor designated position by using the prediction model, reversely predicting theoretical lighting parameters required by a certain designated position according to the lighting parameters in the indoor environment collected in real time, adjusting each lighting assembly by taking the theoretical lighting parameters as target values, generating control signals and sending the control signals to the corresponding lighting assemblies, so that the corresponding lighting assemblies adjust the lighting states of the corresponding lighting assemblies after receiving the control signals until a certain plane, a certain area or a certain position designated indoors keeps preset constant illumination.

For ease of understanding, the following description is made with classroom lighting as an application scenario and in conjunction with fig. 2. It should be noted that, classroom illumination is different from indoor conventional illumination, in order to ensure the illumination quality of the whole space of a classroom, the illumination system needs to consider the influence of illumination light on human health, such as visual requirement indexes of average desktop illumination, vertical eye illumination, color rendering of a light source and the like, except that some hard indexes of illumination, uniformity and the like reach the standard, the illumination of desktops at different positions in the classroom is different, some positions are bright and some positions are dark, the illumination distribution is uneven, and the vision is damaged to a great extent by uneven illumination distribution for students with different seats.

In the classroom internal layout shown in fig. 2, three rows of 9 lamps which are longitudinally arranged at equal intervals are installed at the top of the classroom, the 9 lamps are longitudinally arranged in three rows to be divided into a lamp group 1, a lamp group 2 and a lamp group 3, the lamp group 1, the lamp group 2 and the lamp group 3 are controlled in a grouping mode, 1 sensor is arranged on a beam in the middle of the classroom, and the lamp groups, the sensor and the control module are in communication connection.

In the present embodiment, a desktop illuminance maintaining 500lux at a preset desk height of 70cm in a classroom is taken as an example, as shown in the figure, x11-x33 in the figure represents 9 desktop illuminances at different positions respectively, a sensor located at the center of the classroom acquires real-time illuminance values at x11-x33 positions in an indoor environment, the real-time illuminance values of the sensor are transmitted to a control module, the control module inputs a plurality of illuminance values acquired by the sensor into a BP neural network, so as to learn and train an illuminance prediction model at each position in the indoor environment, in order to enable each position x11-x33 in the classroom to maintain the same illuminance, the illumination parameters in the indoor environment are acquired in real time, the required desktop illuminance values at each position x11-x33 when the desktop height maintains the same illuminance are predicted in a reverse manner by using the illuminance prediction model, and further, the lamp group 1 is calculated by using the desktop illuminance values at different positions, The illuminance of the lamp group 2 and the lamp group 3 is adjusted, and control signals are generated and transmitted to the lamp group 1, the lamp group 2 and the lamp group 3 respectively, so that the lamp group 1, the lamp group 2 and the lamp group 3 correspondingly adjust the illumination brightness of the lamp according to the control signals, for example, the lamp group 1 increases the illumination brightness, and the lamp group 2 and the lamp group 3 decrease the illumination brightness, so that the height plane of the desktop of a student in a classroom is always kept at an illuminance value of 500 lux.

Again, the present invention provides a hardware system that may be used in conjunction with software or programs, but does not itself involve any software technology updates. In addition, the intelligent lighting technology provided by the utility model is different from the original lamp control technology of the single-control switch of the lamp, and the lighting effect under different environmental conditions needs to be considered, so that the indoor lighting can meet the conditions of multiple color temperatures and adjustable light, and the intelligent color temperature adjustment in daytime, nighttime, projection time-sharing and mode-sharing light adjustment and daytime and nighttime time can be realized. Based on the above, the utility model provides an indoor constant-illumination dimming system and method integrating environments, so that constant-illumination control is performed on indoor places, a certain specified area, a certain specified plane or a certain specified position in different environments.

To sum up, this application provides an indoor dimming system, and this application utilizes sensing element, control module and the dimming system that lighting assembly found to change to the ambient lighting, adjusts indoor lighting parameter in real time to carry out permanent illuminance lighting control to indoor environment, a certain appointed area/plane/position under the different environment, indoor high-efficient illumination, even illuminance, the comfortable lighting environment of vision that remain all the time, effectively reduce the illumination energy consumption, improve light source's effective utilization. Therefore, the application effectively overcomes various defects in the prior art and has high industrial utilization value.

The above embodiments are merely illustrative of the principles and utilities of the present application and are not intended to limit the application. Any person skilled in the art can modify or change the above-described embodiments without departing from the spirit and scope of the present application. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical concepts disclosed in the present application shall be covered by the claims of the present application.

Claims

1. An indoor dimming system, comprising:

at least one lighting assembly disposed in the indoor space;

the sensing assembly is arranged in the indoor space and used for detecting lighting parameters;

a control module communicatively coupled to the illumination assembly and the sensing assembly;

the control module acquires theoretical lighting parameters of a plurality of acquisition points and correspondingly adjusts the lighting assembly according to the theoretical lighting parameters of the acquisition points so as to adjust the actually measured lighting parameters of the designated position to be consistent with preset lighting parameters.

2. The indoor dimming system of claim 1, wherein the control module is connected with the lighting assembly and the sensing assembly in a time communication manner through an integrated communication module, and the communication manner comprises a wireless communication and a wired communication; the communication module comprises a Bluetooth communication module, a WiFi communication module, a mobile network communication module, a ZigBee communication module, an NB-IoT communication module or a MavLink communication module.

3. The indoor dimming system of claim 1, wherein the lighting assembly comprises one or more lighting fixtures; in the dimming process, the lighting lamp groups are used as dimming objects to perform grouped dimming, and/or the single lighting lamp is used as the dimming object to perform single dimming.

4. An indoor dimming system as claimed in claim 3, wherein the type of the lighting fixture comprises one or more of ceiling light, wall light, spot light, table light, floor light, classroom light, building light, and industrial and mining light.

5. The indoor dimming system of claim 1, wherein the sensing component comprises any one or a combination of: illuminance sensor, humidity sensor, temperature sensor.

6. An indoor dimming system according to claim 1, wherein the lighting parameters comprise any one or a combination of parameters: illuminance, illuminance uniformity, color temperature, color rendering index, luminous flux, brightness.

7. The indoor dimming system of claim 1, wherein the control module comprises a central processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array, discrete gate or transistor logic, or discrete hardware components.

8. The indoor dimming system of claim 1, wherein the sensing component is configured to collect measured lighting parameters at a plurality of collection points in the indoor space, transmit the measured lighting parameters to the control module, and input the measured lighting parameters into a deep neural network for training to obtain a lighting parameter prediction model at any specified position in the indoor space.