Display house light automatic adjustment control system based on distributed sensor

Abstract

The invention relates to the field of automatic light adjustment, is used for solving the problem that the light of a display room cannot be intelligently and optimally controlled according to personnel movement and personnel distribution, and particularly relates to an automatic display room light adjustment control system based on a distributed sensor, which comprises a frequency detection unit, a movement position prediction unit and an ambient brightness acquisition unit, when the lamplight of the display room is automatically adjusted and controlled, the interior of the display room is divided into areas, the number of people, the change condition of the people and the natural light brightness in each area are comprehensively analyzed to generate a correction index of the lamplight brightness, deep optimization correction of the lamplight brightness is achieved, and the accuracy of the lamplight brightness is improved. And meanwhile, when the number of people in the area fluctuates greatly, the movement route of the people is predicted, and then the lamplight of the display room is optimized and controlled according to the predicted movement condition of the people, so that the lamplight brightness can fit the actual condition to the maximum extent, and unnecessary energy consumption of the lamplight is reduced while the display effect is ensured.

Description

Technical Field

[0001] The present invention relates to the field of automatic lighting regulation, and in particular to an automatic lighting regulation control system for a display house based on distributed sensors. Background Art

[0002] In order to better realize the automatic control of lights, many lamps are currently equipped with automatic brightness adjustment systems, so lamps that can automatically adjust the brightness of lights have come into being. They can automatically start and stop the lamps and adjust the brightness according to the environment. At present, the parameters collected by the automatic light adjustment system in the prior art are generally only dynamic sensing and ambient brightness, that is, the start and stop of the lamp and the brightness of the lamp are controlled according to the passing of people or the change of ambient brightness, which improves the intelligence of the lamp to a certain extent and is conducive to energy saving and emission reduction of the lamp. However, in some cases, such as the frequent flow of people in the exhibition room and the uneven distribution of people, the brightness control based only on ambient light and dynamic sensing cannot meet the lighting needs of the lamp, so that the lights in the exhibition room cannot be more optimized according to the movement and distribution of people. Intelligent control, thus ensuring the display effect of the exhibition room, the energy saving and emission reduction effect of the lamp in the exhibition room cannot be achieved; In view of the above technical problems, this application proposes a solution. Summary of the invention

[0003] When the present invention automatically adjusts and controls the lights of a showroom, the basic regional flow and the future movement trajectory of personnel are acquired through a frequency detection unit and a mobile position prediction unit, and the brightness of natural light is acquired through an environmental brightness acquisition unit. A comprehensive analysis is performed based on the brightness of natural light, the basic regional flow and the prediction of the movement trajectory of personnel to achieve intelligent control of the lights, so that the brightness of the lights can be fitted to the actual situation to the greatest extent, and the unnecessary energy consumption of the lights is reduced while the display effect is ensured, and the problem that the lights of the showroom cannot be intelligently optimized and controlled according to the movement and distribution of personnel is solved, and an automatic adjustment control system for the lights of the showroom based on distributed sensors is proposed.

[0004] The purpose of the present invention can be achieved through the following technical solutions: The display house lighting automatic adjustment control system based on distributed sensors includes a personnel detection unit, which can collect images in the display house, mark the personnel information in the images, obtain the number of personnel and pre-process the images; A frequency detection unit, which can divide the pre-processed image into regions, obtain the basic flow in each region, and mark the region as a fluctuating region and a stable region; A mobile position prediction unit, which can mark a person and confirm the movement trajectory of the marked person, and at the same time predict the movement trajectory of the person through a deep learning model to obtain the sub-areas that the person's future movement trajectory passes through; An environment brightness collection unit, which can collect the natural light brightness in the area, and generate a brightness supplement area or a brightness qualified area according to the comparison between the natural light brightness and the set brightness; The regional lighting control unit obtains the brightness supplement area, analyzes the lighting supplement brightness in the sub-area according to the brightness supplement area, the area mark and the sub-area through which the personnel will move in the future, and controls the lighting in the sub-area according to the lighting supplement brightness.

[0005] As a preferred implementation of the present invention, the person detection unit identifies and marks the person in the collected picture, and records the picture with the person mark as the pre-processed picture.

[0006] As a preferred embodiment of the present invention, the personnel detection unit sends the preprocessed screen to the frequency detection unit, and the frequency detection unit divides the screen in the preprocessed screen into regions to obtain multiple sub-regions, and counts the number of people in each sub-region after the region division, and records them as the number of partitions.

[0007] As a preferred embodiment of the present invention, the frequency detection unit obtains the pre-processing screen multiple times at a fixed interval value, counts the number of people in the partition obtained from the pre-processing screen each time, and records it as the regional basic flow; The frequency detection unit calculates the regional basic flow through the formula to obtain the regional basic flow fluctuation situation P, , where Bi is the basic flow of the i-th group of regions, i is a natural number not equal to 0, and B0 is the average value of the basic flow of the regions at all times; The frequency detection unit generates a flow fluctuation signal or a flow stability signal according to whether the regional basic flow fluctuation condition P is greater than or not greater than a set threshold; The frequency detection unit records the sub-region generating the flow stability signal as the stable region, and records the sub-region generating the flow fluctuation signal as the fluctuation region.

[0008] As a preferred embodiment of the present invention, the mobile position prediction unit obtains the preprocessing picture and the division result of the sub-region, and realizes the movement tracking of the person marked in the preprocessing picture through continuous comparison of multiple preprocessing pictures, and obtains the moving route of the person. The mobile position prediction unit uses the moving direction, moving speed and spatial position of the moving route as three sets of route parameters; The mobile position prediction unit trains the deep learning model by importing the acquired personnel movement routes and the three sets of route parameters contained in the personnel movement routes.

[0009] As a preferred embodiment of the present invention, the mobile position prediction unit imports the three most recently obtained sets of route parameters into the deep learning model, so that the deep learning model predicts the future trajectory of the personnel's movement route based on the imported three sets of route parameters, and obtains the personnel's future movement route in a short time.

[0010] As a preferred embodiment of the present invention, the environment brightness acquisition unit divides the display house into multiple sub-areas according to the same division method as the pre-processed image; The ambient brightness acquisition unit acquires the brightness in each sub-area and records it as the ambient natural brightness. The ambient brightness acquisition unit obtains a set brightness threshold and compares the ambient natural brightness of each sub-area with the set brightness threshold. If the ambient natural brightness is greater than the set brightness threshold, the sub-area is recorded as a brightness qualified area. If the ambient natural brightness is not greater than the set brightness threshold, the sub-area is recorded as a brightness supplement area. The ambient brightness acquisition unit sends the brightness supplement area, the brightness qualified area and the ambient natural brightness of each partition to the regional lighting control unit.

[0011] As a preferred embodiment of the present invention, after obtaining the brightness qualified area, the regional lighting control unit controls the lights in the brightness qualified area to turn off; After obtaining the brightness supplement area, if the area light control unit also belongs to the stable area, it obtains the average value of the area basic flow, and uses the average value of the area basic flow as the brightness correction index to obtain the lighting supplement brightness; If it belongs to the fluctuating area at the same time, after obtaining the average value of the basic flow of the area, the number of people arriving in the sub-area in a short time in the future is obtained through the mobile position prediction unit. The average value of the regional flow and the number of people arriving in the sub-area in the future are used as brightness correction indicators to generate lighting supplement brightness.

[0012] Compared with the prior art, the present invention has the following beneficial effects: In the present invention, when the lighting of the exhibition house is automatically adjusted and controlled, the exhibition house is divided into areas, the number of people in each area and the change of people are analyzed, and then the correction index of the light brightness is generated in combination with the brightness of the natural environment, so as to achieve deep optimization and correction of the light brightness, so that the light brightness can fit the actual situation to the greatest extent, and the display effect is guaranteed while reducing unnecessary energy consumption of the light. In the present invention, when the number of people in different areas fluctuates greatly, the movement routes of the people are predicted, so as to more accurately predict the distribution of people in the area with large fluctuations in the number of people, and then optimize the control of the lighting of the exhibition house according to the predicted movement of the people, so as to improve the accuracy of the light control. BRIEF DESCRIPTION OF THE DRAWINGS In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0013] Figure 1 is a system block diagram of the present invention; Figure 2 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0014] The technical scheme of the present invention will be described clearly and completely in conjunction with the embodiments below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] Embodiment 1: See also Figure 1 - Figure 2 As shown, the display house lighting automatic adjustment control system based on distributed sensors includes a personnel detection unit, a frequency detection unit, a mobile position prediction unit, a regional lighting control unit and an ambient brightness acquisition unit; The personnel detection unit collects images through an image acquisition device, and uses a preset recognition algorithm to identify the personnel in the collected images, marks the identified personnel, and records the images with personnel marks as pre-processed images. The personnel detection unit counts the number of marked personnel in the images; The personnel detection unit sends the number of personnel and the pre-processed picture to the frequency detection unit. The frequency detection unit divides the picture in the pre-processed picture into regions to obtain multiple sub-regions, and counts the number of personnel in each sub-region after the region division, thereby recording it as the number of people in the sub-regions; The frequency detection unit obtains the pre-processing screen through the personnel monitoring unit for multiple times, and the interval for obtaining the pre-processing screen is a set fixed interval value. The number of people in each partition obtained from the pre-processing screen is counted each time, and the number of people in each partition at different times is obtained, and the number of people in each partition at different times is recorded as the regional basic flow; The frequency detection unit calculates the regional basic flow through the formula to obtain the regional basic flow fluctuation P. , where Bi is the basic flow of the i-th group of regions, i is a natural number not equal to 0, and B0 is the average value of the basic flow of the regions at all times; The frequency detection unit compares the regional basic flow fluctuation situation P with the set threshold value. If the regional basic flow fluctuation situation P is less than the set threshold value, a flow stability signal is generated. If the regional basic flow fluctuation situation P is greater than the set threshold value, a flow fluctuation signal is generated. The frequency detection unit records the sub-region generating the flow stability signal as the stable region, and records the sub-region generating the flow fluctuation signal as the fluctuation region; The frequency detection unit sends the divided stable area or fluctuation area to the regional lighting control unit.

[0016] Embodiment 2: See also Figure 1 - Figure 2 As shown, the mobile position prediction unit obtains the preprocessed image through the personnel detection unit, and obtains the regional division result through the frequency detection unit, and realizes the movement tracking of the person marked in the preprocessed image through continuous comparison of multiple preprocessed images, and obtains the moving route of the person. The mobile position prediction unit uses the moving direction, moving speed and spatial position of the moving route as three sets of route parameters; The mobile location prediction unit trains the deep learning model by importing the acquired personnel movement routes and three sets of route parameters contained in the personnel movement routes; The mobile position prediction unit imports the three sets of route parameters obtained most recently into the deep learning model, so that the deep learning model predicts the future trajectory of the personnel's movement route according to the imported three sets of route parameters, and obtains the personnel's future movement route in a short period of time; The mobile position prediction unit sends the sub-areas to which the personnel's future movement routes will reach to the regional lighting control unit; At the same time, after the prediction is completed, when the personnel move, the actual movement route of the personnel obtained after the movement of the personnel is compared with the predicted future movement route of the personnel, so as to perform autonomous learning optimization on the deep learning model and improve the path prediction accuracy of the deep learning model.

[0017] Embodiment three: See also Figure 1 - Figure 2 As shown, the ambient brightness acquisition unit divides the display house into multiple sub-areas according to a preset division method, and the sub-areas are the same as the sub-areas obtained by the frequency detection unit dividing the pre-processed picture; The ambient brightness acquisition unit acquires the brightness in each sub-area and records it as the ambient natural brightness. The ambient brightness acquisition unit obtains the set brightness threshold and compares the ambient natural brightness of each sub-area with the set brightness threshold. If the ambient natural brightness is greater than the set brightness threshold, the sub-area is recorded as a brightness qualified area. If the ambient natural brightness is not greater than the set brightness threshold, the sub-area is recorded as a brightness supplement area. The ambient brightness acquisition unit sends the brightness supplement area, the brightness qualified area and the ambient natural brightness of each partition to the regional lighting control unit; After obtaining the brightness qualified area, the regional lighting control unit controls the lights in the brightness qualified area to turn off; After obtaining the brightness supplement area, the regional lighting control unit confirms through the frequency detection unit whether the brightness supplement area room belongs to the fluctuation area or the stable area. If it belongs to the stable area, the average value of the regional basic flow is obtained, and the average value of the regional basic flow is used as the brightness correction index to obtain the lighting supplement brightness H. , where h is the preset standard brightness, J is the preset standard flow number, and q is the preset correction coefficient; If it is a fluctuating area, after obtaining the average value of the basic flow rate in the area, the number of people arriving in the sub-area in the short term in the future is obtained through the mobile position prediction unit, recorded as X, and the lighting supplement brightness H1 is generated through formula analysis. ; The area lighting control unit analyzes the light supplement brightness H using a set algorithm to obtain the number of lights that need to be turned on and the lighting power.

[0018] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. The automatic lighting control system for the exhibition house based on distributed sensors is characterized by: It includes a personnel detection unit, which can collect pictures in the display room, mark the personnel information in the pictures, and obtain pre-processed pictures; A frequency detection unit, which can divide the pre-processed image into regions, obtain the basic flow in each region, and mark the region as a fluctuating region and a stable region; A mobile position prediction unit, which can mark a person and confirm the movement trajectory of the marked person, and at the same time predict the movement trajectory of the person through a deep learning model to obtain the sub-areas that the person's future movement trajectory passes through; An environment brightness collection unit, which can collect the natural light brightness in the area, and generate a brightness supplement area or a brightness qualified area according to the comparison between the natural light brightness and the set brightness; The regional lighting control unit obtains the brightness supplement area, analyzes the lighting supplement brightness in the sub-area according to the brightness supplement area, the area mark and the sub-area through which the personnel will move in the future, and controls the lighting in the sub-area according to the lighting supplement brightness.

2. The distributed sensor-based automatic lighting control system for a display house according to claim 1 is characterized in that: The person detection unit identifies and marks the persons in the collected pictures, and records the pictures with the person marks as pre-processed pictures.

3. The distributed sensor-based automatic lighting control system for a display house according to claim 1 is characterized in that: The personnel detection unit sends the preprocessed image to the frequency detection unit, and the frequency detection unit divides the image in the preprocessed image into regions to obtain multiple sub-regions, counts the number of personnel in each sub-region after the region division, and records them as the number of partitions.

4. The distributed sensor-based automatic lighting control system for a display house according to claim 3 is characterized in that: The frequency detection unit obtains the pre-processing screen multiple times at a fixed interval value, counts the number of people in the partition obtained from the pre-processing screen each time, and records it as the regional basic flow; The frequency detection unit calculates the regional basic flow through the formula to obtain the regional basic flow fluctuation situation P, , where Bi is the basic flow of the i-th group of regions, i is a natural number not equal to 0, and B0 is the average value of the basic flow of the regions at all times; The frequency detection unit generates a flow fluctuation signal or a flow stability signal according to whether the regional basic flow fluctuation condition P is greater than or not greater than a set threshold; The frequency detection unit records the sub-region generating the flow stability signal as the stable region, and records the sub-region generating the flow fluctuation signal as the fluctuation region.

5. The distributed sensor-based automatic lighting control system for a display house according to claim 1 is characterized in that: The mobile position prediction unit obtains the preprocessing picture and the division result of the sub-areas, and realizes the movement tracking of the person marked in the preprocessing picture through continuous comparison of multiple preprocessing pictures, and obtains the moving route of the person. The mobile position prediction unit uses the moving direction, moving speed and spatial position of the moving route as three sets of route parameters; The mobile position prediction unit trains the deep learning model by importing the acquired personnel movement routes and the three sets of route parameters contained in the personnel movement routes.

6. The distributed sensor-based automatic lighting control system for a display house according to claim 5 is characterized in that: The mobile position prediction unit imports the three most recently obtained sets of route parameters into the deep learning model, so that the deep learning model predicts the future trajectory of the personnel's movement route based on the imported three sets of route parameters, and obtains the personnel's future movement route in a short time.

7. The distributed sensor-based automatic lighting control system for a display house according to claim 1 is characterized in that: The environment brightness acquisition unit divides the display house into multiple sub-areas according to the same division method as the pre-processed image; The ambient brightness acquisition unit acquires the brightness in each sub-area and records it as the ambient natural brightness. The ambient brightness acquisition unit obtains a set brightness threshold and compares the ambient natural brightness of each sub-area with the set brightness threshold. If the ambient natural brightness is greater than the set brightness threshold, the sub-area is recorded as a brightness qualified area. If the ambient natural brightness is not greater than the set brightness threshold, the sub-area is recorded as a brightness supplement area. The ambient brightness acquisition unit sends the brightness supplement area, the brightness qualified area and the ambient natural brightness of each partition to the regional lighting control unit.

8. The distributed sensor-based automatic lighting control system for a display house according to claim 1 is characterized in that: After obtaining the brightness qualified area, the regional lighting control unit controls the lights in the brightness qualified area to turn off; After obtaining the brightness supplement area, if the area light control unit also belongs to the stable area, it obtains the average value of the area basic flow, and uses the average value of the area basic flow as the brightness correction index to obtain the lighting supplement brightness; If it belongs to the fluctuating area at the same time, after obtaining the average value of the basic flow of the area, the number of people arriving in the sub-area in a short time in the future is obtained through the mobile position prediction unit. The average value of the regional flow and the number of people arriving in the sub-area in the future are used as brightness correction indicators to generate lighting supplement brightness.

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