Building lighting control device and method based on indoor visual image analysis

文档序号:1782665 发布日期:2019-12-06 浏览:31次 中文

阅读说明:本技术 基于室内视觉图像分析的建筑采光控制装置和方法 (Building lighting control device and method based on indoor visual image analysis ) 是由 边宇 遇大兴 林佳 冷天翔 郑锦泽 于 2019-08-28 设计创作,主要内容包括:本发明涉及基于室内视觉图像分析的建筑采光控制装置,包括图像采集装置,图像处理装置,遮阳控制装置,与图像处理装置信号连接;遮阳构件与遮阳控制装置连接;图像处理装置接收图像采集装置发送来的室内全景图像,从室内全景图像提取第一亮度分布信息并转换成室内个体人眼视角方向的第二亮度分布信息,图像处理装置根据第二亮度分布信息发送信号到遮阳控制装置,遮阳控制装置驱动遮阳构件动作。本发明通过提取和分析室内亮度分布信息,基于分析结果调控室内采光,使室内亮度分布符合室内采光标准,满足多数个体视觉舒适度要求。本发明还涉及基于室内视觉图像分析的建筑采光控制方法。(the invention relates to a building lighting control device based on indoor visual image analysis, which comprises an image acquisition device, an image processing device and a sun-shading control device, wherein the image acquisition device is in signal connection with the image processing device; the sun-shading component is connected with the sun-shading control device; the image processing device receives the indoor panoramic image sent by the image acquisition device, extracts first brightness distribution information from the indoor panoramic image and converts the first brightness distribution information into second brightness distribution information of the indoor individual human eye visual angle direction, the image processing device sends a signal to the sun-shading control device according to the second brightness distribution information, and the sun-shading control device drives the sun-shading component to act. According to the invention, indoor brightness distribution information is extracted and analyzed, and indoor lighting is regulated and controlled based on the analysis result, so that the indoor brightness distribution meets the indoor lighting standard, and the requirements of a plurality of body vision comfort levels are met. The invention also relates to a building lighting control method based on indoor visual image analysis.)

1. Building daylighting controlling means based on indoor vision image analysis, its characterized in that: comprises that

The image acquisition device is arranged indoors and used for acquiring indoor panoramic images;

the image processing device is in signal connection with the image acquisition device;

the sun-shading control device is in signal connection with the image processing device;

The sun-shading component is arranged indoors, is used for shading sun rays and is connected with the sun-shading control device;

the image processing device receives the indoor panoramic image sent by the image acquisition device, extracts first brightness distribution information from the indoor panoramic image and converts the first brightness distribution information into second brightness distribution information of the visual angle direction of the individual human eyes in the room, the image processing device sends a signal to the sun-shading control device according to the second brightness distribution information, and the sun-shading control device drives the sun-shading component to act.

2. A building lighting control device based on indoor visual image analysis according to claim 1, wherein: the second luminance distribution information includes a maximum luminance, an average luminance, a luminance contrast, and a visual comfort index.

3. a building lighting control device based on indoor visual image analysis according to claim 1, wherein: the image processing device is respectively in wireless connection with the image acquisition device and the sun-shading control device.

4. a building lighting control device based on indoor visual image analysis according to claim 1, wherein: the sun-shading control device comprises a main controller, a driving device and a corner sensor, wherein the corner sensor is arranged corresponding to the sun-shading component, the main controller is in signal connection with the image processing device and the corner sensor respectively, the main controller controls the driving device to act, and the driving device drives the sun-shading component to be opened or closed.

5. a building lighting control device based on indoor visual image analysis according to claim 1, wherein: the image acquisition device is a high dynamic range image camera.

6. A building lighting control device based on indoor visual image analysis according to claim 5, wherein: the camera is arranged at the center of the top of the room, and the lens of the camera faces downwards.

7. The building lighting control method based on indoor visual image analysis is characterized by comprising the following steps: comprises the following steps of (a) carrying out,

s1, the image acquisition device acquires an indoor panoramic image and sends the indoor panoramic image to the image processing device;

S2, the image processing apparatus extracting first luminance distribution information from the indoor panoramic image;

S3, the image processing device converts the first brightness distribution information into second brightness distribution information of the visual angle direction of the individual human eyes in the room;

s4, according to the second brightness distribution information, the image processing device sends a signal to the sun-shading control device;

and S5, driving the sun-shading component to act by the sun-shading control device.

8. a method for building lighting control based on indoor visual image analysis according to claim 7, wherein: s3 includes the following steps of,

Establishing a spatial three-dimensional rectangular coordinate system A, setting spatial coordinates of any indoor point E as (XE, YE, ZE), spatial position coordinates of indoor human eyes as A1(XP, YP, ZP), and installation position coordinates of indoor roof cameras as A2(XC, YC, ZC);

establishing a two-dimensional rectangular coordinate system B1 overlooked by the roof camera; establishing a two-dimensional rectangular coordinate system B2 with human eyes for head-up; the coordinate of the point E mapped to the two-dimensional rectangular coordinate system B1 in the three-dimensional rectangular coordinate system A is EB1(XEC, YEC), and the coordinate mapped to the two-dimensional rectangular coordinate system B2 is EB2(XEP, YEP);

the relation between the midpoint E of the three-dimensional rectangular coordinate system A and the midpoint EB1 of the two-dimensional rectangular coordinate system B1 is as follows:

The relation between the midpoint E of the three-dimensional rectangular coordinate system A and the midpoint EB2 of the two-dimensional rectangular coordinate system B2 is as follows:

calculating coordinates XEP and YEP of the point EB2 by formulas (1) to (4);

extracting a luminance value D of the point EB1(XEC, YEC) from the first luminance distribution information;

the brightness value of the point EB2 is set to D.

9. a method for building lighting control based on indoor visual image analysis according to claim 7, wherein: s4 includes the following steps of,

The rotation angle sensor measures the actual value of the current rotation angle position of the sun-shading component;

The corner sensor sends the actual value of the current corner position to a main controller of the sun-shading control device;

the main controller of the sun-shading control device sends the actual value of the current corner position to the image processing device;

The image processing device calculates a preset value of the corner position of the sun-shading component which accords with the comfort degree of human eyes according to the actual value of the current corner position and the second brightness distribution information;

The image processing device sends a preset value of the corner position to the main controller.

10. a method for building lighting control based on indoor visual image analysis according to claim 9, wherein: s5 includes the following steps of,

and a main controller of the sun-shading control device calculates a difference value between the actual value of the current corner position and the preset value of the corner position, sends a control signal to the driving device according to the difference value, and the driving device drives the sun-shading component to act.

Technical Field

the invention relates to the field of building lighting, in particular to a building lighting control device and method based on indoor visual image analysis.

Background

Building lighting control is an important component of an intelligent building and plays an important role in energy conservation and emission reduction and improvement of comfort of residents. The use of a solar control system to regulate the light entering the room is currently a popular way to improve the visual and thermal comfort of the room.

The traditional building sun-shading device is mainly operated by manual control, is relatively simple in control mode, and has the advantage that the comfort level is judged according to the subjective and real feeling of an individual and then an instruction is sent out.

The intelligent building sun-shading device detects the intensity of outdoor direct sunlight through a sensor, and then controls the closing of a sun-shading component on a window according to the detection result so as to adjust light in a building. The intelligent control and optimization application of the building sunshade is carried out through the integration of technologies such as sensing, control and information, and the like, so that a more comfortable and energy-saving personalized indoor environment is provided.

the intelligent building sun-shading device at present has the following problems:

(1) because the detected light comes from outdoor direct solar light, and indoor lighting is regulated and controlled by analyzing the outdoor direct solar light, the indoor brightness distribution does not necessarily accord with the indoor lighting standard;

(2) The indoor brightness distribution cannot satisfy a plurality of body vision comfort levels.

Disclosure of Invention

aiming at the technical problems in the prior art, one of the purposes of the invention is as follows: provided is a building lighting control device based on indoor visual image analysis, which can control indoor lighting based on an analysis result by extracting and analyzing indoor brightness distribution information, and the indoor brightness distribution meets an indoor lighting standard and meets comfort level of a plurality of body views.

aiming at the technical problems in the prior art, the second purpose of the invention is as follows: the building lighting control method based on the indoor visual image analysis is provided, indoor lighting is regulated and controlled based on an analysis result by extracting and analyzing indoor brightness distribution information, so that indoor brightness distribution meets the indoor lighting standard, and the comfort level of a plurality of body vision is met.

In order to achieve the purpose, the invention adopts the following technical scheme:

the building lighting control device based on indoor visual image analysis comprises

The image acquisition device is arranged indoors and used for acquiring indoor panoramic images;

the image processing device is in signal connection with the image acquisition device;

The sun-shading control device is in signal connection with the image processing device;

The sun-shading component is arranged indoors, is used for shading sun rays and is connected with the sun-shading control device;

the image processing device receives the indoor panoramic image sent by the image acquisition device, extracts first brightness distribution information from the indoor panoramic image and converts the first brightness distribution information into second brightness distribution information of the visual angle direction of the individual human eyes in the room, the image processing device sends a signal to the sun-shading control device according to the second brightness distribution information, and the sun-shading control device drives the sun-shading component to act.

Further, the second luminance distribution information includes a maximum luminance, an average luminance, a luminance contrast, and a visual comfort index.

further, the image processing device is respectively in wireless connection with the image acquisition device and the sun-shading control device.

furthermore, the sun-shading control device comprises a main controller, a driving device and a corner sensor, wherein the corner sensor is arranged corresponding to the sun-shading component and used for collecting the corner position information of the current sun-shading component, and the main controller is respectively in signal connection with the image processing device and the corner sensor and respectively receives the data sent by the image processing device and the corner sensor. The main controller controls the driving device to act, and the driving device drives the sunshade component to open or close.

Further, the image acquisition device is a high dynamic range image camera.

furthermore, the camera is arranged at the center of the indoor top, and the lens of the camera faces downwards.

a building lighting control method based on indoor visual image analysis comprises the following steps,

s1, the image acquisition device acquires an indoor panoramic image and sends the indoor panoramic image to the image processing device;

S2, the image processing apparatus extracting first luminance distribution information from the indoor panoramic image;

S3, the image processing device converts the first brightness distribution information into second brightness distribution information of the visual angle direction of the individual human eyes in the room;

s4, according to the second brightness distribution information, the image processing device sends a signal to the sun-shading control device;

And S5, driving the sun-shading component to act by the sun-shading control device.

Further, S3 includes the steps of,

Establishing a spatial three-dimensional rectangular coordinate system A, setting spatial coordinates of any point E in a room as (XE, YE, ZE), spatial position coordinates of human eyes as A1(XP, YP, ZP), and installation position coordinates of a roof camera as A2(XC, YC, ZC);

Establishing a two-dimensional rectangular coordinate system B1 overlooked by the roof camera; establishing a two-dimensional rectangular coordinate system B2 with human eyes for head-up; the coordinate of the point E mapped to the two-dimensional rectangular coordinate system B1 in the three-dimensional rectangular coordinate system A is EB1(XEC, YEC), and the coordinate mapped to the two-dimensional rectangular coordinate system B2 is EB2(XEP, YEP);

the relation between the midpoint E of the three-dimensional rectangular coordinate system A and the midpoint EB1 of the two-dimensional rectangular coordinate system B1 is as follows:

The relation between the midpoint E of the three-dimensional rectangular coordinate system A and the midpoint EB1 of the two-dimensional rectangular coordinate system B2 is as follows:

calculating coordinates XEP and YEP of the point EB2 by formulas (1) to (4);

extracting a luminance value D of the point EB1(XEC, YEC) from the first luminance distribution information;

the brightness value of the point EB2 is set to D.

Further, S4 includes the steps of,

the rotation angle sensor measures the actual value of the current rotation angle position of the sun-shading component;

The corner sensor sends the actual value of the current corner position to a main controller of the sun-shading control device;

The main controller of the sun-shading control device sends the actual value of the current corner position to the image processing device;

The image processing device calculates a preset value of the corner position of the sun-shading component which accords with the comfort degree of human eyes according to the actual value of the current corner position and the second brightness distribution information;

The image processing device sends a preset value of the corner position to the main controller.

further, S5 includes the steps of,

And a main controller of the sun-shading control device calculates a difference value between the actual value of the current corner position and the preset value of the corner position, sends a control signal to the driving device according to the difference value, and the driving device drives the sun-shading component to act.

in summary, the present invention has the following advantages:

the image acquisition device can acquire an indoor panoramic image, first brightness distribution information is extracted from the indoor panoramic image and converted into second brightness distribution information of the visual angle direction of an indoor individual human eye, the image processing device can send a signal to the driving device according to the second brightness distribution information, and the driving device drives the sunshade component to correspondingly act. Compared with the prior art of collecting and analyzing outdoor sunlight, the indoor brightness distribution analysis method can regulate and control indoor lighting based on the analysis result by extracting and analyzing indoor brightness distribution information, so that the indoor brightness distribution meets the indoor lighting standard, and the requirement of a plurality of body vision comfort levels is met.

Drawings

fig. 1 is a schematic plan view of an embodiment of the present invention.

fig. 2 is an indoor panoramic image based on a camera top view.

Fig. 3 is a human eye visual angle diagram based on the human eye visual angle direction of an indoor individual.

fig. 4 is a schematic diagram of a three-dimensional rectangular coordinate system a established by the embodiment of the invention.

fig. 5 is a schematic diagram of a two-dimensional rectangular coordinate system B1 established based on the viewing direction of the human eyes of the indoor individual according to the embodiment of the present invention.

fig. 6 is a schematic diagram of a two-dimensional rectangular coordinate system B2 established based on a top view angle of the camera according to the embodiment of the invention.

FIG. 7 is a block diagram of modules of an embodiment of the present invention.

description of reference numerals:

1-a camera;

2-image processing host;

3-sunshade control motor;

4-a sun-shading member;

5-side window, 51-one window, 52-two windows, 53-three windows, 54-four windows;

61-front wall, 62-right wall, 63-back wall, 64-left wall;

7-the ground.

Detailed Description

The present invention will be described in further detail below.

As shown in FIGS. 1 to 3, the building lighting control device based on the indoor visual image analysis comprises

The image acquisition device is arranged indoors and used for acquiring indoor panoramic images;

The image processing device is in signal connection with the image acquisition device;

The sun-shading control device is in signal connection with the image processing device;

the sun-shading component 4 is arranged indoors, is used for shading sun rays and is connected with the sun-shading control device;

The image processing device receives the indoor panoramic image sent by the image acquisition device, extracts first brightness distribution information from the indoor panoramic image and converts the first brightness distribution information into second brightness distribution information of the visual angle direction of the individual human eyes in the room, the image processing device sends a signal to the sun-shading control device according to the second brightness distribution information, and the sun-shading control device drives the sun-shading component 4 to act.

the indoor panoramic image is collected through the image collecting device, the image processing device extracts first brightness distribution information from the indoor panoramic image and converts the first brightness distribution information into second brightness distribution information of the visual angle direction of the indoor individual human eyes, the image processing device can send signals to the driving device according to the second brightness distribution information, and the driving device drives the sunshade component 4 to correspondingly act. Compared with the prior art of collecting and analyzing outdoor sunlight, the indoor brightness distribution analysis method can regulate and control indoor lighting based on the analysis result by extracting and analyzing indoor brightness distribution information, so that the indoor brightness distribution meets individual indoor brightness habits, meets the indoor lighting standard, and meets the requirements of a plurality of body vision comfort levels.

the second luminance distribution information includes a maximum luminance (Lmax), an average luminance (Lavg), a luminance contrast (LR), and a visual comfort index (DGP). These parameters are key indicators in determining the comfort of the human eye of an individual.

The image processing device is respectively in wireless connection with the image acquisition device and the driving device. WIFI or Bluetooth connection can be adopted, so that the image processing device can remotely receive signals sent by the image acquisition device and remotely control the sun-shading control device to act. In the present embodiment, the image processing apparatus is an image processing host 2.

The sun-shading member 4 comprises a roller blind or a blind.

the sun-shading control device comprises a main controller, a driving device and a corner sensor, wherein the corner sensor is arranged corresponding to the sun-shading component 4 and used for collecting the corner position information of the current sun-shading component 4, and the main controller is respectively in signal connection with the image processing device and the corner sensor and used for respectively receiving the data sent by the image processing device and the corner sensor. The main controller controls the action of the driving device, and the driving device drives the sunshade component 4 to open or close. In this embodiment, the driving device is a sunshade control motor 3.

the image acquisition device is a high dynamic range image (HDR) camera 1, which can obtain parameters such as brightness, contrast, saturation, hue and the like, and provide an image suitable for analysis for the image processing device.

the camera 1 is arranged at the center of the top of the room, the lens of the camera 1 faces downwards, and the whole indoor panoramic image can be shot, so that the brightness distribution information of the whole room, namely the first brightness distribution information, can be obtained.

taking the indoor individual eye view angle facing forward and the individual left ear facing the side window 5 as an example, as shown in fig. 2, the indoor panoramic image based on the overlooking view angle of the camera 1 is an indoor panoramic image, the indoor panoramic image includes a front wall 61, a right wall 62, a rear wall 63, a left wall 64 and a ground 7, the side window 5 is disposed in the left wall 64, and the side window 5 sequentially includes a first window 51, a second window 52, a third window 53 and a fourth window 54. First luminance distribution information may be extracted from the indoor panorama image; as shown in fig. 3, the human eye visual angle diagram based on the human eye visual angle direction of the individual indoor includes a front wall 61, a right wall 62, a left wall 64 and the ground 7, and the left wall 64 displays a first window 51 and a second window 52. Each pixel point in the human eye view angle image can find a corresponding point in the indoor panoramic image, and the brightness is the same, namely, the brightness of one window 51 in the indoor panoramic image is the same as that of one window 51 in the head-up image, and the brightness of two windows 52 in the indoor panoramic image is the same as that of two windows 52 in the head-up image. Since the head-up image does not include the three-window 53 and the four-window 54, that is, the second luminance distribution information does not include the luminance information of the three-window 53 and the four-window 54, based on the second luminance distribution information, the image processing host 2 sends a signal to the sunshade control device, so that the sunshade control device controls the three-window 53 and the four-window 54 to be closed correspondingly, and the light entering the room is reduced.

As shown in fig. 7, the module block diagram of the embodiment of the present invention includes an image acquisition device, an image processing host 2, and a sunshade control device, where the image acquisition device includes a panoramic camera 1, a microcontroller, and a first WiFi module, and the microcontroller acquires and compresses indoor panoramic image information captured by the panoramic camera 1, sends the indoor panoramic image information to a WiFi routing unit through the first WiFi module, and forwards the indoor panoramic image information to the image processing host 2 through the WiFi routing unit; the image processing host 2 extracts first brightness distribution information from the indoor panoramic image, converts the first brightness distribution information into second brightness distribution information of the visual angle direction of the indoor individual human eye, analyzes a preset value of the corner position of the sun-shading component 4 according with the comfort degree of the human eye according to the second brightness distribution information, and forwards the preset value of the corner position to a second WiFi module of the sun-shading control device through a WiFi route; and the main controller of the sun-shading control device receives the preset value of the corner position sent by the second WiFi module, compares the preset value with the actual value of the current corner position of the sun-shading component 4 fed back by the corner sensor, correspondingly sends a control signal to the driving device, and the driving device drives and adjusts the opening degree of the sun-shading component 4.

a building lighting control method based on indoor visual image analysis comprises the following steps,

S1, the image acquisition device acquires an indoor panoramic image and sends the indoor panoramic image to the image processing device;

S2, the image processing apparatus extracting first luminance distribution information from the indoor panoramic image;

S3, the image processing device converts the first brightness distribution information into second brightness distribution information of the visual angle direction of the individual human eyes in the room; through the step, objective indoor first brightness distribution information can be converted into subjective second brightness distribution information which accords with the visual angle direction of indoor individual human eyes, and basic data are provided for the image processing device to control corresponding actions of the driving device.

s4, according to the second brightness distribution information, the image processing device sends a signal to the sun-shading control device;

s5, the sun-shading control device drives the sun-shading component 4 to act. By opening or closing the sunshade member 4, the light entering the room from the window is increased or decreased, so that the indoor brightness conforms to the comfort of the eyes of the individual.

Because the visual angle of the human eyes is towards a certain specific direction at a certain moment, when the visual angle direction of the human eyes is adjusted randomly, the image collected by the visual angle of the human eyes is changed correspondingly, the converted second brightness distribution information is changed correspondingly, and the sun-shading control device drives the sun-shading component 4 to act and adjust correspondingly, so that the indoor brightness accords with the changed second brightness distribution information.

because the image acquisition device acquires the indoor panoramic image, the first brightness distribution information extracted from the indoor panoramic image by the image processing device comprises the brightness distribution information of all indoor directions, and the converted second brightness distribution information can be correspondingly extracted from the first brightness distribution information no matter which direction the visual angle of human eyes faces. The image processing device sends a signal to the sun-shading control device according to the second brightness distribution information, the sun-shading control device drives the sun-shading component 4 to act, and light entering the room from the window is increased or reduced, so that the indoor brightness accords with the second brightness distribution information, the brightness habit of the indoor individual human eyes is met, and the comfort level of the individual human eyes is met.

therefore, the building lighting control method based on indoor visual image analysis can enable the whole indoor brightness distribution to meet the indoor lighting standard and meet the requirements of a plurality of body visual comfort levels.

further, S3 includes the steps of,

As shown in fig. 4 to 6, a spatial three-dimensional rectangular coordinate system a is established, the spatial coordinates of any point E in the room are set to be (XE, YE, ZE), the spatial position coordinates of the eyes of the individual in the room are set to be a1(XP, YP, ZP), and the installation position coordinates of the indoor roof camera 1 are set to be a2(XC, YC, ZC);

establishing a two-dimensional rectangular coordinate system B1 overlooked by the roof camera 1; establishing a two-dimensional rectangular coordinate system B2 with human eyes for head-up; the coordinate of the point E mapped to the two-dimensional rectangular coordinate system B1 in the three-dimensional rectangular coordinate system A is EB1(XEC, YEC), and the coordinate mapped to the two-dimensional rectangular coordinate system B2 is EB2(XEP, YEP);

The relation between the midpoint E of the three-dimensional rectangular coordinate system A and the midpoint EB1 of the two-dimensional rectangular coordinate system B1 is as follows:

The relation between the midpoint E of the three-dimensional rectangular coordinate system A and the midpoint EB2 of the two-dimensional rectangular coordinate system B2 is as follows:

Calculating coordinates XEP and YEP of the point EB2 by formulas (1) to (4);

Since the coordinate information of the point E in the two-dimensional coordinate system B1 (in the perspective view of the rooftop camera 1) is known, namely the point EB1(XEC, YEC) is known, and the spatial position coordinate point a1(XP, YP, ZP) of the individual human eye and the installation position coordinate point a2(XC, YC, ZC) of the rooftop camera 1 are known. Through the formulas (1) to (4), the coordinate information XEP and YEP of the point E in the two-dimensional coordinate system B2 (in the human eye perspective diagram) can be calculated, thereby realizing the conversion of the coordinate point from the roof camera 1 perspective diagram to the human eye perspective diagram.

extracting a luminance value D of the point EB1(XEC, YEC) from the first luminance distribution information;

the brightness value of the point EB2 is set to D.

The conversion from the first luminance distribution information to the second luminance distribution information is realized based on the pixel point space coordinate conversion. When any point in a room is shot by the camera 1 at any visual angle, the brightness values corresponding to the point (marked as a pixel point in the image) in the images shot at different visual angles are the same, namely the brightness of the point in the indoor panoramic image shot by the roof camera 1 is equal to the brightness of the point in the visual angle image of human eyes, so as long as the coordinate information of a certain pixel point is obtained from the overlooking image shot by the roof camera 1 and is mapped to the coordinate information in the visual angle image of human eyes, the brightness value of the pixel point can be successfully converted, and further the visual angle conversion of the brightness distribution information is realized.

Through the steps, any point in the human eye visual angle diagram can be corresponding to the indoor panoramic image shot by the roof camera 1, and the brightness value of the corresponding point in the indoor panoramic image is given to the any point in the human eye visual angle diagram, so that the first brightness distribution information is converted into the second brightness distribution information in the indoor individual human eye visual angle direction. When the visual angle direction of the individual human eyes changes, the converted second brightness distribution information also changes correspondingly, and the opening degree of the sun-shading component 4 can be adjusted correspondingly, so that the comfort degree of the individual human eyes in the room can be met in all directions.

further, S4 includes the steps of,

The rotation angle sensor measures the actual value of the current rotation angle position of the sun-shading member 4;

The corner sensor sends the actual value of the current corner position to a main controller of the sun-shading control device;

The main controller of the sun-shading control device sends the actual value of the current corner position to the image processing device;

The image processing device calculates a preset value of the corner position of the sun-shading member 4 according with the comfort degree of human eyes according to the actual value of the current corner position and the second brightness distribution information;

the image processing device sends a preset value of the corner position to the main controller.

The actual value of the current corner position of the sun-shading member 4 is measured and fed back by the corner sensor, and the preset value of the corner position required by the sun-shading member 4 can be calculated by the image processing device, so that the main controller can obtain accurate data.

further, S5 includes the steps of,

The main controller of the sunshade control device calculates a difference value between the actual value of the current corner position and the preset value of the corner position, and sends a control signal to the driving device according to the difference value, and the driving device drives the sunshade component 4 to act.

the angle of the sunshade component 4 required to rotate can be accurately calculated through the main controller, so that the driving device is controlled to correspondingly drive the sunshade component 4 to act.

The working principle of the invention is as follows:

the panoramic camera 1, which is arranged at the center of the indoor top, takes an HDR indoor panoramic image with the lens facing downward, and sends the indoor panoramic image to the image processing host 2. The image processing host 2 extracts first luminance distribution information from the indoor panoramic image and converts the first luminance distribution information into second luminance distribution information in the assumed indoor human eye viewing angle direction;

the corner sensor measures the actual value of the current corner position of the sun-shading component 4 and feeds the actual value back to the main controller, and the main controller sends the actual value of the current corner position to the image processing host 2;

According to the actual value of the current corner position and the second brightness distribution information, the image processing host 2 calculates a corner position preset value required by the sun-shading member 4 and sends the corner position preset value to the main controller;

the main controller calculates a difference value between the actual value of the current corner position and the preset value of the corner position, and sends a control signal to the driving device according to the difference value, and the driving device drives the sunshade component 4 to act.

The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.

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