阅读说明：本技术 一种分布式控制灯光方法、系统、装置、控制方法及应用 (Distributed light control method, system, device, control method and application ) 是由 梁虎 李逸阳 刘卓 孙睿 朱丽娜 于 2020-06-05 设计创作，主要内容包括：本发明属于节能控制技术领域,公开了一种分布式控制灯光方法、系统、装置、控制方法及应用,若光线低于光控开关的最低值,且声音强度高于声控开关最低值,灯光回路系统通电,灯泡发光,同时光控模块和声控模块同时给控制器发送信号；卡主同时接收到光控模块和声控模块的信号时会发射信号给摄像模块,摄像模块对周围环境拍照,并传送给图像处理模块进行处理,图像被处理后传输给卷积神经网络；卷积神经网络接收到被处理图像后,结合储存的机器学习的数据库进行判断照片中是否有人,若有人,则根据机器学习的数据库信息把信息传给控制器,控制器控制调光模块使人所处位置附近灯光调亮。本发明可根据人活动范围调节灯的亮度；能达到节能的目的。(The invention belongs to the technical field of energy-saving control, and discloses a distributed light control method, a system, a device, a control method and application, wherein if light is lower than the lowest value of a light control switch and the sound intensity is higher than the lowest value of a sound control switch, a light loop system is powered on, a bulb emits light, and meanwhile, a light control module and a sound control module simultaneously send signals to a controller; the card master can transmit signals to the camera module when receiving the signals of the light control module and the sound control module at the same time, the camera module takes pictures of the surrounding environment and transmits the pictures to the image processing module for processing, and the processed images are transmitted to the convolutional neural network; after receiving the processed image, the convolutional neural network judges whether a person exists in the picture by combining with the stored database learned by the machine, if so, the information is transmitted to the controller according to the database information learned by the machine, and the controller controls the dimming module to brighten the light near the position where the person is located. The invention can adjust the brightness of the lamp according to the moving range of people; the purpose of energy saving can be achieved.)

1. A distributed light control method, comprising:

firstly, if the light is lower than the lowest value of the light control switch and the sound intensity is higher than the lowest value of the sound control switch, the lamplight loop system is electrified, the bulb emits light, and meanwhile, the light control module and the sound control module simultaneously send signals to the controller;

secondly, the card owner can transmit signals to the camera module when receiving the signals of the light control module and the sound control module at the same time, the camera module takes pictures of the surrounding environment by means of light emitted by the bulb and transmits the pictures to the image processing module for processing, and the images are processed and then transmitted to the convolutional neural network;

and thirdly, after receiving the processed image, the convolutional neural network judges whether a person exists in the picture by combining with a machine learning database stored by the convolutional neural network, if so, the information is transmitted to a controller according to the machine learning database information, and the controller controls a dimming module to brighten the light near the position where the person exists.

2. The distributed control lighting method of claim 1, further comprising: if special lighting occasions are needed, the portable Bluetooth function module is used, the Bluetooth function module is connected to an open system port and transmits a control signal to the controller, the controller receives a user signal and then controls the dimming module, so that the light brightness meets the user requirement, and the position of a user can be positioned between the Bluetooth function module and the open system port based on a Bluetooth RSSI function.

3. A computer device, characterized in that the computer device comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of:

firstly, if the light is lower than the lowest value of the light control switch and the sound intensity is higher than the lowest value of the sound control switch, the lamplight loop system is electrified, the bulb emits light, and meanwhile, the light control module and the sound control module simultaneously send signals to the controller;

secondly, the card owner can transmit signals to the camera module when receiving the signals of the light control module and the sound control module at the same time, the camera module takes pictures of the surrounding environment by means of light emitted by the bulb and transmits the pictures to the image processing module for processing, and the images are processed and then transmitted to the convolutional neural network;

and thirdly, after receiving the processed image, the convolutional neural network judges whether a person exists in the picture by combining with a machine learning database stored by the convolutional neural network, if so, the information is transmitted to a controller according to the machine learning database information, and the controller controls a dimming module to brighten the light near the position where the person exists.

4. A distributed control lighting system for operating the distributed control lighting method according to any one of claims 1 to 2, the distributed control lighting system comprising:

the light control module is used for emitting light ray signals;

the voice control module is used for transmitting voice signals;

the controller is connected with the light control module and the voice control module and used for receiving light signals of the light control module and voice signals of the voice control module;

the camera module is connected with the light control module and the sound control module, takes pictures of the surrounding environment by means of light emitted by the bulb, transmits the pictures to the image processing module for processing, and transmits the processed images to the convolutional neural network module;

the image processing module is connected with the camera module and used for receiving the picture of the camera module and transmitting the picture to the convolutional neural network module;

the convolutional neural network module is connected with the image processing module and used for judging whether a person exists in the picture or not by combining with a machine learning database stored by the convolutional neural network module after receiving the processed image of the image processing module;

and the Bluetooth module is connected with the controller and used for transmitting the control signal to the controller, and the controller controls the dimming after receiving the user signal.

5. A distributed control light unit equipped with the distributed control light system according to claim 4, wherein the distributed control light unit is provided with: a light control switch and a voice control switch;

the light control switch and the sound control switch are connected in series in the light loop system, the working signals of the light control switch and the sound control switch are connected with the PLC, the output signal of the PLC is connected with the camera, the camera is connected with the image processor, the image processor is connected with the convolutional neural network, the other output signal of the PLC is connected with the dimming switch, the user Bluetooth is connected with the open system port, and the open system port is connected with the PLC.

6. A distributed control light fixture as claimed in claim 5 in which said convolutional neural network stores a database of machine learning.

7. A distributed control light as claimed in claim 5 wherein the user Bluetooth and open system ports are distributed in each separate environment.

8. A distributed control light as claimed in claim 5 wherein the light control switch, the voice operated switch, the camera, and the dimmer switch are connected to the PLC controller using a CAN bus.

9. A method of controlling a distributed control light as defined in claim 5, wherein the method of controlling a distributed control light comprises: when the light dimming device is used, if the light is lower than the lowest value of the photoswitch and the sound intensity is higher than the lowest value of the sound control switch, the light loop system is electrified, the bulb emits light, the photoswitch and the sound control switch simultaneously send signals to the PLC, the PLC simultaneously receives the signals of the photoswitch and the sound control switch and then sends signals to the camera, the camera takes pictures of the surrounding environment by means of the light sent by the bulb and sends the pictures to the image processor for processing, the processed images are transmitted to the convolutional neural network, after the convolutional neural network receives the processed images, whether people exist in the pictures is judged by combining a machine learning database stored by the convolutional neural network, if people exist in the pictures, the information is transmitted to the PLC according to the machine learning database information, and the PLC controls the light dimming switch to brighten the light near the position where the people are located; the method comprises the steps that equipment with a Bluetooth function is used, namely, a user Bluetooth is connected into an open system port, a user control signal is transmitted to a PLC (programmable logic controller), the PLC receives the user signal and then controls a dimming switch, so that the light brightness meets the user requirement, and the user position is positioned between the user Bluetooth and the open system port based on a Bluetooth RSSI (received signal strength indicator) function.

10. An intelligent lighting control terminal, characterized in that, the intelligent lighting control terminal is equipped with the distributed control lighting system of claim 4, the intelligent lighting control terminal includes: urban road lighting control terminal, garden factory lighting control terminal, building lighting control terminal, hotel lighting control terminal.

Technical Field

The invention belongs to the technical field of energy-saving control, and particularly relates to a distributed light control method, a distributed light control system, a distributed light control device, a distributed light control method and application.

Background

In recent years, the voice of smart cities is continuous, and a plurality of cities have been added into the improved team of smart cities. As a basic part of a smart city, the smart lighting industry is confronted with new development opportunities. At present, the popularization rate of intelligent lighting products in the market is less than 10%, and the intelligent lighting system is mainly applied to public lighting fields such as urban roads and garden factories and professional intelligent lighting such as buildings and hotels. Usability and decorativeness have been rapidly advanced more than before, but have been slowly advanced in energy saving.

At present, unreasonable problems still exist in the use of light, firstly, the brightness of the light cannot be changed according to the time and place, and the brightness of the light cannot be determined to what degree; secondly, the lamp is forgotten to be turned off, and the phenomenon is the most frequent condition when the light in the public place is unreasonably used; and thirdly, consumption is not matched with demand, namely, the situation that full-house lamps are all on, but the moving range of people is only a small block, often happens. Therefore, a distributed control lighting system based on a convolutional neural network is needed to control a lighting switch, adjust brightness, and manually control lighting at a specific position, so as to achieve the purpose of energy conservation.

Through the above analysis, the problems and defects of the prior art are as follows: at present, consumption and demand are not matched when light is used, so that energy consumption is high, and energy is wasted.

The difficulty in solving the above problems and defects is:

in order to reasonably control the on-off of the light, adjust the brightness and match the demand with the consumption, the light control system must autonomously sense the change of the external environment (mainly the light condition), and then close the corresponding algorithm to achieve the purpose of reasonably controlling the light.

The significance of solving the problems and the defects is as follows:

if the problems can be solved, the energy consumption required by the field of lighting is greatly reduced, and the social requirements of energy conservation and environmental protection are met.

Disclosure of Invention

Aiming at the problems in the prior art, the invention provides a distributed light control method, a distributed light control system, a distributed light control device, a distributed light control method and application.

The invention is realized in such a way, and the distributed light control method comprises the following steps:

firstly, if the light is lower than the lowest value of the light control switch and the sound intensity is higher than the lowest value of the sound control switch, the lamplight loop system is electrified, the bulb emits light, and meanwhile, the light control module and the sound control module simultaneously send signals to the controller;

secondly, the card owner can transmit signals to the camera module when receiving the signals of the light control module and the sound control module at the same time, the camera module takes pictures of the surrounding environment by means of light emitted by the bulb and transmits the pictures to the image processing module for processing, and the images are processed and then transmitted to the convolutional neural network;

and thirdly, after receiving the processed image, the convolutional neural network judges whether a person exists in the picture by combining with a machine learning database stored by the convolutional neural network, if so, the information is transmitted to a controller according to the machine learning database information, and the controller controls a dimming module to brighten the light near the position where the person exists.

Further, the distributed lighting control method further comprises the following steps: if special lighting occasions are needed, the portable Bluetooth function module is used, the Bluetooth function module is connected to an open system port and transmits a control signal to the controller, the controller receives a user signal and then controls the dimming module, so that the light brightness meets the user requirement, and the position of a user can be positioned between the Bluetooth function module and the open system port based on a Bluetooth RSSI function.

It is a further object of the invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:

firstly, if the light is lower than the lowest value of the light control switch and the sound intensity is higher than the lowest value of the sound control switch, the lamplight loop system is electrified, the bulb emits light, and meanwhile, the light control module and the sound control module simultaneously send signals to the controller;

secondly, the card owner can transmit signals to the camera module when receiving the signals of the light control module and the sound control module at the same time, the camera module takes pictures of the surrounding environment by means of light emitted by the bulb and transmits the pictures to the image processing module for processing, and the images are processed and then transmitted to the convolutional neural network;

and thirdly, after receiving the processed image, the convolutional neural network judges whether a person exists in the picture by combining with a machine learning database stored by the convolutional neural network, if so, the information is transmitted to a controller according to the machine learning database information, and the controller controls a dimming module to brighten the light near the position where the person exists.

Another object of the present invention is to provide a distributed control lighting system operating the distributed control lighting method, the distributed control lighting system including:

the light control module is used for emitting light ray signals;

the voice control module is used for transmitting voice signals;

the controller is connected with the light control module and the voice control module and used for receiving light signals of the light control module and voice signals of the voice control module;

the camera module is connected with the light control module and the sound control module, takes pictures of the surrounding environment by means of light emitted by the bulb, transmits the pictures to the image processing module for processing, and transmits the processed images to the convolutional neural network module;

the image processing module is connected with the camera module and used for receiving the picture of the camera module and transmitting the picture to the convolutional neural network module;

the convolutional neural network module is connected with the image processing module and used for judging whether a person exists in the picture or not by combining with a machine learning database stored by the convolutional neural network module after receiving the processed image of the image processing module;

and the Bluetooth module is connected with the controller and used for transmitting the control signal to the controller, and the controller controls the dimming after receiving the user signal.

Another object of the present invention is to provide a distributed control lighting apparatus equipped with the distributed control lighting system, the distributed control lighting apparatus being provided with: a light control switch and a voice control switch;

the light control switch and the sound control switch are connected in series in the light loop system, the working signals of the light control switch and the sound control switch are connected with the PLC, the output signal of the PLC is connected with the camera, the camera is connected with the image processor, the image processor is connected with the convolutional neural network, the other output signal of the PLC is connected with the dimming switch, the user Bluetooth is connected with the open system port, and the open system port is connected with the PLC.

Further, the convolutional neural network stores a database for machine learning.

Further, the user bluetooth and the open system port are distributed in each independent environment.

Further, the light-operated switch, the voice-operated switch, the camera and the light-adjusting switch are connected with the PLC by adopting a CAN bus.

Another object of the present invention is to provide a control method for a distributed control lighting device, including: when the light dimming device is used, if the light is lower than the lowest value of the photoswitch and the sound intensity is higher than the lowest value of the sound control switch, the light loop system is electrified, the bulb emits light, the photoswitch and the sound control switch simultaneously send signals to the PLC, the PLC simultaneously receives the signals of the photoswitch and the sound control switch and then sends signals to the camera, the camera takes pictures of the surrounding environment by means of the light sent by the bulb and sends the pictures to the image processor for processing, the processed images are transmitted to the convolutional neural network, after the convolutional neural network receives the processed images, whether people exist in the pictures is judged by combining a machine learning database stored by the convolutional neural network, if people exist in the pictures, the information is transmitted to the PLC according to the machine learning database information, and the PLC controls the light dimming switch to brighten the light near the position where the people are located; the method comprises the steps that equipment with a Bluetooth function is used, namely, a user Bluetooth is connected into an open system port, a user control signal is transmitted to a PLC (programmable logic controller), the PLC receives the user signal and then controls a dimming switch, so that the light brightness meets the user requirement, and the user position is positioned between the user Bluetooth and the open system port based on a Bluetooth RSSI (received signal strength indicator) function.

Another object of the present invention is to provide an intelligent lighting control terminal equipped with the distributed control lighting system, the intelligent lighting control terminal including: urban road lighting control terminal, garden factory lighting control terminal, building lighting control terminal, hotel lighting control terminal.

By combining all the technical schemes, the invention has the advantages and positive effects that: the energy-saving LED lamp comprises a light control switch, a voice control switch, a PLC (programmable logic controller), a dimming switch, a camera, an image processor, a convolutional neural network, an open system port and user Bluetooth, wherein the light control switch and the voice control switch control a light switch, and light illumination at a specific position is controlled according to the camera and the image processor and the user Bluetooth, so that the purpose of energy saving is achieved. A distributed control lighting system based on a convolutional neural network is provided, the system controls a lighting switch through a light control switch and a voice control switch, adjusts the lighting brightness according to a camera and an image processor, and controls lighting at a specific position through user Bluetooth, so that the purpose of energy conservation is achieved.

The distributed control lighting system based on the convolutional neural network can adjust the brightness of the lamp according to the activity range of people; the distributed control lighting system based on the convolutional neural network can manually control the brightness of the lamp; the distributed control lighting system based on the convolutional neural network can achieve the purpose of energy conservation.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.

Fig. 1 is a flowchart of a distributed light control method according to an embodiment of the present invention.

Fig. 2 is a schematic structural diagram of a distributed control lighting system according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of a distributed control lighting device according to an embodiment of the present invention;

in the figure: 1. a light-operated switch; 2. a voice-operated switch; 3. a PLC controller; 4. a dimmer switch; 5. a camera; 6. an image processor; 7. a convolutional neural network; 8. opening a system port; 9. user Bluetooth; 10 a light control module; 11. a voice control module; 12. a controller; 13. a camera module; 14. an image processing module; 15. a convolutional neural network module; 16. and a Bluetooth module.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

In view of the problems in the prior art, the present invention provides a distributed light control method, system, device, control method and application, and the present invention is described in detail below with reference to the accompanying drawings.

As shown in fig. 1, the distributed light control method provided by the present invention includes the following steps:

s101: if the light is lower than the lowest value of the light control switch and the sound intensity is higher than the lowest value of the sound control switch, the lamplight loop system is electrified, the bulb emits light, and meanwhile, the light control module and the sound control module simultaneously send signals to the controller;

s102: the card master can transmit signals to the camera module when receiving the signals of the light control module and the sound control module at the same time, the camera module takes pictures of the surrounding environment by means of light emitted by the bulb and transmits the pictures to the image processing module for processing, and the images are processed and then transmitted to the convolutional neural network;

s103: after receiving the processed image, the convolutional neural network judges whether a person exists in the picture by combining with a machine learning database stored by the convolutional neural network, if so, the information is transmitted to a controller according to the machine learning database information, and the controller controls a dimming module to brighten the light near the position where the person is located;

s104: if special illumination occasions are needed, people can use the portable Bluetooth function module to access the open system port, namely the Bluetooth function module is connected to the open system port, control signals are transmitted to the controller, the controller receives user signals and then controls the dimming module, so that the light brightness meets the user requirements, and at the moment, the Bluetooth function module and the open system port can position the user based on a Bluetooth RSSI function.

As shown in fig. 2, the distributed control lighting system provided by the present invention includes:

the light control module 10 is used for emitting light signals.

And the voice control module 11 is used for transmitting voice signals.

And the controller 12 is connected with the light control module 10 and the voice control module 11, and is configured to receive a light signal of the light control module 10 and a voice signal of the voice control module 11.

And the camera module 13 is connected with the light control module 10 and the sound control module 11, takes pictures of the surrounding environment by means of light emitted by the bulb, transmits the pictures to the image processing module 14 for processing, and transmits the processed images to the convolutional neural network module 15.

And the image processing module 14 is connected with the camera module 13 and is used for receiving the picture of the camera module 13 and transmitting the picture to the convolutional neural network module 15.

And the convolutional neural network module 15 is connected with the image processing module 14 and is used for judging whether a person exists in the picture by combining with a machine learning database stored by the convolutional neural network module after receiving the processed image of the image processing module 14.

And the Bluetooth module 16 is connected with the controller 12 and is used for transmitting a control signal to the controller 12, and the controller 12 controls the dimming after receiving a user signal.

The technical solution of the present invention is further described below with reference to the accompanying drawings.

As shown in fig. 3, the distributed control lighting apparatus provided by the present invention includes: the system comprises a photoswitch 1, a voice-operated switch 2, a PLC (programmable logic controller) 3, a dimmer switch 4, a camera 5, an image processor 6, a convolutional neural network 7, an open system port 8 and user Bluetooth 9.

The light control switch 1 and the sound control switch 2 control the light switch 1, adjust the light brightness according to the camera 5 and the image processor 6, and control the lighting of the specific position according to the user Bluetooth 9, thereby achieving the purpose of energy saving.

The light control switch 1 and the sound control switch 2 are connected in series in a light loop system, the light control switch 1 and the sound control switch 2 are connected with a PLC (programmable logic controller) 3 in working signal mode, an output signal of the PLC 3 is connected with a camera 5, the camera 5 is connected with an image processor 6, the image processor 6 is connected with a convolutional neural network 7, the other output signal of the PLC 3 is connected with a light adjusting switch 4, a user Bluetooth 9 is connected with an open system port 8, and the open system port 8 is connected with the PLC 3.

The convolution neural network 7 of the distributed control lighting system based on the convolution neural network stores a database of machine learning.

The communication between the user Bluetooth 9 and the open system port 8 of the distributed control lighting system based on the convolutional neural network is based on the optimal solution of the RSSI function.

The user Bluetooth 9 and the open system port 8 of the distributed control lighting system based on the convolutional neural network are distributed in each independent environment needing lighting.

According to the distributed control lighting system based on the convolutional neural network, other modules are communicated with the PLC 3 through the CAN bus.

When the light control device is used, if the light is lower than the lowest value of the photoswitch 1 and the sound intensity is higher than the lowest value of the sound control switch 2, the light loop system is powered on, the bulb emits light, the photoswitch 1 and the sound control switch 2 simultaneously send signals to the PLC controller 3, the PLC controller 3 simultaneously sends signals to the camera 5 when receiving the signals of the photoswitch 1 and the sound control switch 2, the camera 5 takes pictures of the surrounding environment by means of the light emitted by the bulb and transmits the pictures to the image processor 6 for processing, the pictures are processed and then transmitted to the convolutional neural network 7, the convolutional neural network 7 judges whether a person exists in the pictures by combining with a machine learning database stored by the convolutional neural network 7 after receiving the processed pictures, if the person exists, the information is transmitted to the PLC controller 3 according to the database information learned by the machine, the PLC controller 3 controls the light adjusting switch 4 to enable the light near the position where the person exists to be adjusted, if special illumination occasions are needed, users can use the equipment with the Bluetooth function to carry with themselves, namely, the user Bluetooth 9 is connected into the open system port 8, a user control signal is transmitted to the PLC 3, the PLC 3 receives the user signal and then controls the dimming switch 4, so that the lighting brightness meets the user requirement, and at the moment, the user position can be positioned between the user Bluetooth 9 and the open system port 8 based on a Bluetooth RSSI function, so that the lighting brightness around the user is accurately controlled, and the purpose of saving energy is achieved.

In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

It should be noted that the embodiments of the present invention can be realized by hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided on a carrier medium such as a disk, CD-or DVD-ROM, programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier, for example. The apparatus and its modules of the present invention may be implemented by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of hardware circuits and software, e.g., firmware.

The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.