A projection quality intelligent monitoring system and method based on smart home

Abstract

The invention discloses an intelligent monitoring system and method for projection quality based on smart home, and relates to the field of artificial intelligence technology. The invention obtains real-time projection image pixel array information of a projection device through a home Internet of Things; collects projection environment illumination data in real time through an environment illumination sensing device; analyzes the real-time brightness value of the projection image through the real-time projection image pixel array information; performs correlation influence analysis based on the real-time projection brightness value combined with the real-time environment illumination; builds a spatial projection model in combination with the real-time position data of the user, and analyzes the degree of influence of reflected illumination on the user of the projection pixel points in combination with the model; analyzes the real-time projection viewing comfort of the user; outputs projection image data brightness analysis data, reflected illumination user influence analysis data and the real-time viewing comfort of the user, and dynamically regulates the projection image pixel array.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a projection quality intelligent monitoring system and method based on smart home. Background Art

[0002] In smart home systems, projection quality optimization is usually designed to improve image clarity, color accuracy, and brightness uniformity to ensure that users can enjoy a high-quality visual experience under various environmental conditions; smart home projection systems can automatically adapt to environmental changes and user behavior to provide the best viewing experience;

[0003] In the current environment, the projected images in most users' homes lack intelligence. They can often only map image data and cannot perform intelligent analysis based on ambient brightness or the user's viewing angle, resulting in low projection quality and inability to adaptively adjust to the user's dynamic position and dynamic ambient lighting. Summary of the invention

[0004] The purpose of the present invention is to provide a projection quality intelligent supervision system and method based on smart home to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for intelligently supervising projection quality based on smart home, the method comprising the following steps:

[0007] S100, acquiring real-time projection image pixel array information of the projection device through the home Internet of Things; and collecting projection environment lighting data in real time through the environment lighting sensing device;

[0008] S200, analyzing the real-time brightness value of the projection image by the real-time projection image pixel array information; performing correlation impact analysis based on the real-time projection brightness value combined with the real-time ambient light illumination;

[0009] S300, by acquiring user location data in real time, building a spatial projection model in combination with the user's real-time location data, and analyzing the degree of influence of reflected light on the user of projection pixels in combination with the model; analyzing the user's real-time projection viewing comfort in combination with the correlation analysis data of the brightness value of the real-time projection and the brightness of the real-time ambient light and the degree of influence of reflected light on the user of the corresponding projection pixel;

[0010] S400: Outputting projection image data brightness analysis data, reflected light user impact analysis data and user real-time projection viewing comfort, and dynamically adjusting the projection image pixel array.

[0011] The specific steps of acquiring the real-time projection image pixel array information of the projection device through the home Internet of Things and collecting the projection environment light data in real time through the environment light sensing device are as follows:

[0012] S101, accessing the networked projection device through a home smart Internet of Things, and retrieving array data of pixels of an initial projection image; the array data of the pixels is the RGB channel intensity of the corresponding pixels;

[0013] S102: Acquire the real-time indoor light intensity through indoor light sensing equipment, and transmit the data to the monitoring end through the Internet of Things.

[0014] The S200 analyzes the real-time brightness value of the projection image by using the real-time projection image pixel array information; the specific steps of performing correlation impact analysis based on the real-time projection brightness value combined with the real-time ambient light illumination are as follows:

[0015] S201, retrieve the array data of each pixel point of the projected image, and perform brightness analysis on each pixel point. The calculation formula is:

[0016] ;

[0017] Where I(x,y) is the balanced brightness value at the pixel corresponding to the coordinate (x,y); β R , β G , β B are the distribution coefficients of the RGB channel intensity values ​​of the array data at the corresponding pixel point at coordinate (x, y); L R , L G , L B are the RGB channel intensity values ​​of the array data at the corresponding pixel point at coordinate (x, y); k and α are reference constants;

[0018] S202, coordinate the balanced brightness value at each pixel in the projected image, and perform comprehensive brightness analysis on the projected image, and the calculation formula is:

[0019] ;

[0020] Among them, IC is the comprehensive brightness of the current projected image; M is the number of pixels of the projected image; the comprehensive brightness of the current projected image is combined with the ambient light brightness for correlation analysis, and the calculation formula is:

[0021] ;

[0022] Among them, CV is the correlation comfort influence coefficient between the comprehensive brightness of the current projected image and the ambient light illumination; IE is the current ambient light illumination; j is the user's dynamic ambient light illumination comfort influence parameter; the above analysis is a synchronous analysis corresponding to a single time point, by continuously analyzing the projection image brightness and ambient light illumination for continuous time during the projection work.

[0023] The S300 acquires user location data in real time, builds a spatial projection model in combination with the user's real-time location data, and analyzes the degree of influence of reflected light on the user of projection pixels in combination with the model; and analyzes the user's real-time projection viewing comfort in combination with the correlation analysis data of the brightness value of the real-time projection and the brightness of the real-time ambient light and the degree of influence of reflected light on the user of the corresponding projection pixel as follows:

[0024] S301, real-time positioning of the user's dynamic position is performed through an Internet of Things positioning device, and a spatial projection model is constructed by connecting the center point of the light source of the projection device, the center point of the user's head and the center point of the projection image; based on the spatial projection model, an image reflection angle of the projection image transmitted to the user is obtained;

[0025] S302, based on the image reflection angle of the projection image transmitted to the user, the mirror reflection pixel points and the diffuse reflection pixel points of the projection image are marked; wherein the marked pixel points are the pixel points at which the image reflection is transmitted to the user at the image reflection angle of the projection image transmitted to the user; and the illumination influence analysis is performed on each marked mirror reflection pixel point to the user and each diffuse reflection pixel point to the user, and the calculation formula is:

[0026] , ;

[0027] Among them, SR is the lighting impact value of the specular reflection to the user pixel; U(S) is the number of specular reflection to the user pixel; U(A) is the total number of projected pixels; DR is the lighting impact value of the diffuse reflection to the user pixel; U(D) is the number of diffuse reflection to the user pixel;

[0028] Combining the correlation analysis data of the real-time projection image brightness data and the ambient light illumination data and the illumination impact values ​​of the corresponding specular reflection and diffuse reflection pixels reflected to the user, the user's real-time projection viewing comfort is analyzed, and the calculation formula is:

[0029] ;

[0030] Among them, PVC is the user's viewing comfort of the current projected image; N is the normal vector of the projected image surface; H is the line segment vector pointing from the center point of the projected image to the center point of the user's head; α is the angle between the line segment connecting the center point of the light source and the center point of the projected image and the line segment connecting the center point of the user's head and the center point of the projected image; through big data analysis of the user's viewing comfort interval [PVC p , PVC q ]; If the user viewing comfort level of the current projected image PVC∈[PVC p , PVC q ], the current projected image is marked as normal; if PVC∉[PVC p , PVC q ], the current projected image is judged to be abnormal.

[0031] The specific steps of S400 for outputting the projection image data brightness analysis data, the reflected light user impact analysis data and the user's real-time projection viewing comfort, and dynamically adjusting the projection image pixel array are as follows:

[0032] S401, during the projection operation, performing real-time analysis on the projection image, and outputting brightness analysis data of the real-time projection image, analysis data on the impact of reflected light on users, and user real-time projection viewing comfort;

[0033] S402, intelligently controlling the projected image that is judged to be abnormal, wherein the control includes controlling the brightness of the projected image and controlling the image reflection angle.

[0034] A projection quality intelligent supervision system based on smart home, the system comprises a comprehensive data acquisition module, a brightness correlation influence analysis module, a comprehensive abnormality analysis module and a data control feedback unit;

[0035] The comprehensive data acquisition module acquires the real-time projection image pixel array information of the projection device through the home Internet of Things; the projection environment lighting data is acquired in real time through the environment lighting sensing device; the brightness correlation impact analysis module analyzes the real-time brightness value of the projection image through the real-time projection image pixel array information; and performs correlation impact analysis based on the real-time projection brightness value combined with the real-time environment light brightness; the comprehensive abnormality analysis module acquires the user position data in real time, builds a spatial projection model in combination with the user's real-time position data, and analyzes the user impact of the reflected light of the projection pixel points in combination with the model; analyzes the user's real-time projection viewing comfort of the user in combination with the correlation analysis data of the real-time projection brightness value and the real-time environment light brightness and the user impact of the reflected light of the corresponding projection pixel points; the data control feedback unit outputs the projection image data brightness analysis data, the reflected light user impact analysis data and the user's real-time projection viewing comfort, and dynamically controls the projection image pixel array.

[0036] The comprehensive data acquisition module includes a projection image array data acquisition unit and an ambient illumination data acquisition unit;

[0037] The projection image array data acquisition unit performs data connection access to the networked projection device through the home smart Internet of Things, and retrieves the array data of the pixels of the initial projection image; the array data of the pixels is the RGB channel intensity of the corresponding pixels;

[0038] The ambient light data acquisition unit acquires the real-time indoor light intensity through the indoor light sensing device, and transmits the data to the monitoring end through the Internet of Things.

[0039] The brightness correlation influence analysis module includes a pixel array data analysis unit and a brightness correlation analysis unit;

[0040] The pixel array data analysis unit retrieves the pixel array data of each pixel of the projection image and performs brightness analysis on each pixel;

[0041] The brightness correlation analysis unit coordinates the balanced brightness value at each pixel in the projected image, performs a comprehensive brightness analysis on the projected image, and performs a correlation analysis in combination with the comprehensive brightness of the current projected image and the brightness of the ambient light.

[0042] The comprehensive abnormality analysis module includes a space projection model construction unit and a user comfort abnormality analysis unit;

[0043] The spatial projection model construction unit locates the user's dynamic position in real time through the Internet of Things positioning device, and connects the center point of the light source of the projection device, the center point of the user's head and the center point of the projection image to construct a spatial projection model; based on the spatial projection model, the image reflection angle of the projection image transmitted to the user is obtained;

[0044] The user comfort abnormality analysis unit marks the mirror reflection pixels and diffuse reflection pixels of the projection image based on the image reflection angle transmitted from the projection image to the user; performs illumination impact analysis on each marked mirror reflection pixel to the user and each diffuse reflection pixel to the user respectively; analyzes the user's real-time projection viewing comfort by combining the correlation analysis data of the real-time projection image brightness data and the ambient light brightness data and the illumination impact values ​​of the corresponding mirror reflection and diffuse reflection pixels reflected to the user; analyzes the user's viewing comfort range through big data analysis, and makes an abnormal judgment on the real-time user projection image based on the user's viewing comfort range.

[0045] The data control feedback unit includes a comprehensive data output unit and a control feedback unit;

[0046] During the projection operation, the comprehensive data output unit performs real-time analysis on the projection image, and outputs brightness analysis data of the real-time projection image, analysis data on the impact of reflected light on users, and user real-time projection viewing comfort;

[0047] The control feedback unit performs intelligent control on the projection image that is judged to be abnormal, and the control includes control of the brightness of the projection image and control of the image reflection angle.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] The present invention combines the smart home system with the Internet of Things to collect projection image data, ambient light data and user dynamic position data from home projection equipment, positioning system and ambient light sensing equipment; performs correlation analysis by comprehensively analyzing the real-time brightness data of the projection image and the ambient light data; performs viewing comfort analysis in combination with the reflection data of the projection image and the dynamic positioning of the user, and performs abnormal analysis of the projection image based on the user's viewing comfort, and outputs control instructions; the present invention enables the home intelligent system to perform real-time dynamic analysis of the projection image in combination with the projection equipment, and perform user intelligent comfort analysis, judge the current image quality, and perform dynamic control; the present invention significantly improves the intelligence of the projection equipment in the home intelligent system. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 The present invention is a structural schematic diagram of an intelligent projection quality monitoring system based on smart home. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0052] Example: Figure 1 As shown, the present invention provides a technical solution:

[0053] A method for intelligently supervising projection quality based on smart home, the method comprising the following steps:

[0054] S100, acquiring real-time projection image pixel array information of the projection device through the home Internet of Things; and collecting projection environment lighting data in real time through the environment lighting sensing device;

[0055] S200, analyzing the real-time brightness value of the projection image by the real-time projection image pixel array information; performing correlation impact analysis based on the real-time projection brightness value combined with the real-time ambient light illumination;

[0056] S300, by acquiring user location data in real time, building a spatial projection model in combination with the user's real-time location data, and analyzing the degree of influence of reflected light on the user of projection pixels in combination with the model; analyzing the user's real-time projection viewing comfort in combination with the correlation analysis data of the brightness value of the real-time projection and the brightness of the real-time ambient light and the degree of influence of reflected light on the user of the corresponding projection pixel;

[0057] S400: Outputting projection image data brightness analysis data, reflected light user impact analysis data and user real-time projection viewing comfort, and dynamically adjusting the projection image pixel array.

[0058] The specific steps of acquiring the real-time projection image pixel array information of the projection device through the home Internet of Things and collecting the projection environment light data in real time through the environment light sensing device are as follows:

[0059] S101, accessing the networked projection device through a home smart Internet of Things, and retrieving array data of pixels of an initial projection image; the array data of the pixels is the RGB channel intensity of the corresponding pixels;

[0060] S102: Acquire the real-time indoor light intensity through indoor light sensing equipment, and transmit the data to the monitoring end through the Internet of Things.

[0061] The S200 analyzes the real-time brightness value of the projection image by using the real-time projection image pixel array information; the specific steps of performing correlation impact analysis based on the real-time projection brightness value combined with the real-time ambient light illumination are as follows:

[0062] S201, retrieve the array data of each pixel point of the projected image, and perform brightness analysis on each pixel point. The calculation formula is:

[0063] ;

[0064] Where I(x,y) is the balanced brightness value at the pixel corresponding to the coordinate (x,y); β R , β G , β B are the distribution coefficients of the RGB channel intensity values ​​of the array data at the corresponding pixel point at coordinate (x, y); L R , L G , L B are the RGB channel intensity values ​​of the array data at the corresponding pixel point at coordinate (x, y); k and α are reference constants;

[0065] S202, coordinate the balanced brightness value at each pixel in the projected image, and perform comprehensive brightness analysis on the projected image, and the calculation formula is:

[0066] ;

[0067] Among them, IC is the comprehensive brightness of the current projected image; M is the number of pixels of the projected image; the comprehensive brightness of the current projected image is combined with the ambient light brightness for correlation analysis, and the calculation formula is:

[0068] ;

[0069] Among them, CV is the correlation comfort influence coefficient between the comprehensive brightness of the current projected image and the ambient light illumination; IE is the current ambient light illumination; j is the user's dynamic ambient light illumination comfort influence parameter.

[0070] The S300 acquires user location data in real time, builds a spatial projection model in combination with the user's real-time location data, and analyzes the degree of influence of reflected light on the user of projection pixels in combination with the model; and analyzes the user's real-time projection viewing comfort in combination with the correlation analysis data of the brightness value of the real-time projection and the brightness of the real-time ambient light and the degree of influence of reflected light on the user of the corresponding projection pixel as follows:

[0071] S301, real-time positioning of the user's dynamic position is performed through an Internet of Things positioning device, and a spatial projection model is constructed by connecting the center point of the light source of the projection device, the center point of the user's head and the center point of the projection image; based on the spatial projection model, an image reflection angle of the projection image transmitted to the user is obtained;

[0072] S302, based on the image reflection angle of the projected image transmitted to the user, mark the mirror reflection pixel points and diffuse reflection pixel points of the projected image; perform illumination impact analysis on each marked mirror reflection pixel point to the user and each diffuse reflection pixel point to the user, and the calculation formula is:

[0073] , ;

[0074] Among them, SR is the lighting impact value of the specular reflection to the user pixel; U(S) is the number of specular reflection to the user pixel; U(A) is the total number of projected pixels; DR is the lighting impact value of the diffuse reflection to the user pixel; U(D) is the number of diffuse reflection to the user pixel;

[0075] Combining the correlation analysis data of the real-time projection image brightness data and the ambient light illumination data and the illumination impact values ​​of the corresponding specular reflection and diffuse reflection pixels reflected to the user, the user's real-time projection viewing comfort is analyzed, and the calculation formula is:

[0076] ;

[0077] Among them, PVC is the user's viewing comfort of the current projected image; N is the normal vector of the projected image surface; H is the line segment vector pointing from the center point of the projected image to the center point of the user's head; α is the angle between the line segment connecting the center point of the light source and the center point of the projected image and the line segment connecting the center point of the user's head and the center point of the projected image; through big data analysis of the user's viewing comfort interval [PVC p , PVC q ]; If the user viewing comfort level of the current projected image PVC∈[PVC p , PVC q ], the current projected image is marked as normal; if PVC∉[PVC p , PVC q ], the current projected image is judged to be abnormal.

[0078] The specific steps of S400 for outputting the projection image data brightness analysis data, the reflected light user impact analysis data and the user's real-time projection viewing comfort, and dynamically adjusting the projection image pixel array are as follows:

[0079] S401, during the projection operation, performing real-time analysis on the projection image, and outputting brightness analysis data of the real-time projection image, analysis data on the impact of reflected light on users, and user real-time projection viewing comfort;

[0080] S402, intelligently controlling the projected image that is judged to be abnormal, wherein the control includes controlling the brightness of the projected image and controlling the image reflection angle.

[0081] A projection quality intelligent supervision system based on smart home, the system comprises a comprehensive data acquisition module, a brightness correlation influence analysis module, a comprehensive abnormality analysis module and a data control feedback unit;

[0082] The comprehensive data acquisition module acquires the real-time projection image pixel array information of the projection device through the home Internet of Things; the projection environment lighting data is acquired in real time through the environment lighting sensing device; the brightness correlation impact analysis module analyzes the real-time brightness value of the projection image through the real-time projection image pixel array information; and performs correlation impact analysis based on the real-time projection brightness value combined with the real-time environment light brightness; the comprehensive abnormality analysis module acquires the user position data in real time, builds a spatial projection model in combination with the user's real-time position data, and analyzes the user impact of the reflected light of the projection pixel points in combination with the model; analyzes the user's real-time projection viewing comfort of the user in combination with the correlation analysis data of the real-time projection brightness value and the real-time environment light brightness and the user impact of the reflected light of the corresponding projection pixel points; the data control feedback unit outputs the projection image data brightness analysis data, the reflected light user impact analysis data and the user's real-time projection viewing comfort, and dynamically controls the projection image pixel array.

[0083] The comprehensive data acquisition module includes a projection image array data acquisition unit and an ambient illumination data acquisition unit;

[0084] The projection image array data acquisition unit performs data connection access to the networked projection device through the home smart Internet of Things, and retrieves the array data of the pixels of the initial projection image; the array data of the pixels is the RGB channel intensity of the corresponding pixels;

[0085] The ambient light data acquisition unit acquires the real-time indoor light intensity through the indoor light sensing device, and transmits the data to the monitoring end through the Internet of Things.

[0086] The brightness correlation influence analysis module includes a pixel array data analysis unit and a brightness correlation analysis unit;

[0087] The pixel array data analysis unit retrieves the pixel array data of each pixel of the projection image and performs brightness analysis on each pixel;

[0088] The brightness correlation analysis unit coordinates the balanced brightness value at each pixel in the projected image, performs a comprehensive brightness analysis on the projected image, and performs a correlation analysis in combination with the comprehensive brightness of the current projected image and the brightness of the ambient light.

[0089] The comprehensive abnormality analysis module includes a space projection model construction unit and a user comfort abnormality analysis unit;

[0090] The spatial projection model construction unit locates the user's dynamic position in real time through the Internet of Things positioning device, and connects the center point of the light source of the projection device, the center point of the user's head and the center point of the projection image to construct a spatial projection model; based on the spatial projection model, the image reflection angle of the projection image transmitted to the user is obtained;

[0091] The user comfort abnormality analysis unit marks the mirror reflection pixels and diffuse reflection pixels of the projection image based on the image reflection angle transmitted from the projection image to the user; performs illumination impact analysis on each marked mirror reflection pixel to the user and each diffuse reflection pixel to the user respectively; analyzes the user's real-time projection viewing comfort by combining the correlation analysis data of the real-time projection image brightness data and the ambient light brightness data and the illumination impact values ​​of the corresponding mirror reflection and diffuse reflection pixels reflected to the user; analyzes the user's viewing comfort range through big data analysis, and makes an abnormal judgment on the real-time user projection image based on the user's viewing comfort range.

[0092] The data control feedback unit includes a comprehensive data output unit and a control feedback unit;

[0093] During the projection operation, the comprehensive data output unit performs real-time analysis on the projection image, and outputs brightness analysis data of the real-time projection image, analysis data on the impact of reflected light on users, and user real-time projection viewing comfort;

[0094] The control feedback unit intelligently controls the projected image that is judged to be abnormal, and the control includes control of the brightness of the projected image and control of the image reflection angle;

[0095] In the example:

[0096] A user's home is equipped with the projection quality intelligent monitoring system based on smart home of the present invention, which accesses the networked projection device through the home smart Internet of Things, retrieves the array data of the initial projection image pixels; obtains the real-time indoor light intensity through the indoor light sensing sensor device, and transmits the data to the monitoring end through the Internet of Things;

[0097] The array data of each pixel point of the projected image is retrieved, and the brightness of each pixel point is analyzed. The calculation formula is:

[0098] ;

[0099] The balanced brightness value at each pixel in the projected image is coordinated to perform a comprehensive brightness analysis on the projected image. The calculation formula is:

[0100] ;

[0101] Combine the comprehensive brightness of the current projected image with the ambient light brightness for correlation analysis, and the calculation formula is:

[0102] ;

[0103] The user's dynamic position is located in real time through the IoT positioning device, and a spatial projection model is constructed by connecting the center point of the light source of the projection device, the center point of the user's head and the center point of the projected image; the image reflection angle transmitted to the user by the projected image is obtained based on the spatial projection model;

[0104] Based on the image reflection angle of the projected image transmitted to the user, the mirror reflection pixels and diffuse reflection pixels of the projected image are marked; the lighting impact analysis is performed on each marked mirror reflection to user pixel and each diffuse reflection to user pixel, and the calculation formula is:

[0105] , ;

[0106] Combining the correlation analysis data of the real-time projection image brightness data and the ambient light illumination data and the illumination impact values ​​of the corresponding specular reflection and diffuse reflection pixels reflected to the user, the user's real-time projection viewing comfort is analyzed, and the calculation formula is:

[0107] ;

[0108] Through big data analysis of user viewing comfort range [PVC p , PVC q ]; If the user viewing comfort level of the current projected image PVC∈[PVC p , PVC q ], the current projected image is marked as normal; if PVC∉[PVC p , PVC q ], then the current projected image is judged to be abnormal;

[0109] During the projection operation, the projected image is analyzed in real time, and the brightness analysis data of the real-time projected image, the user impact analysis data of reflected light and the user's real-time viewing comfort are output; the projected image that is judged to be abnormal is intelligently controlled, and the control includes projection image brightness control and image reflection angle control.

[0110] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A method for intelligently supervising projection quality based on smart home, characterized in that: The method comprises the following steps: S100, acquiring real-time projection image pixel array information of the projection device through the home Internet of Things; and collecting projection environment lighting data in real time through the environment lighting sensing device; S200, analyzing the real-time brightness value of the projection image by the real-time projection image pixel array information; performing correlation impact analysis based on the real-time projection brightness value combined with the real-time ambient light illumination; The specific steps of S200 are as follows: S201, retrieve the array data of each pixel point of the projected image, and perform brightness analysis on each pixel point. The calculation formula is: ； Where I(x,y) is the balanced brightness value at the pixel corresponding to the coordinate (x,y); β R , β G , β B are the distribution coefficients of the RGB channel intensity values ​​of the array data at the corresponding pixel point at coordinate (x, y); L R , L G , L B are the RGB channel intensity values ​​of the array data at the corresponding pixel point at coordinate (x, y); k and α are reference constants; S202, coordinate the balanced brightness value at each pixel in the projected image, and perform comprehensive brightness analysis on the projected image, and the calculation formula is: ； Among them, IC is the comprehensive brightness of the current projected image; M is the number of pixels of the projected image; the comprehensive brightness of the current projected image is combined with the ambient light brightness for correlation analysis, and the calculation formula is: ； Among them, CV is the correlation comfort impact coefficient between the comprehensive brightness of the current projected image and the ambient light illumination; IE is the current ambient light illumination; j is the user's dynamic ambient light illumination comfort impact parameter; S300, by acquiring user location data in real time, building a spatial projection model in combination with the user's real-time location data, and analyzing the degree of influence of reflected light on the user of projection pixels in combination with the model; analyzing the user's real-time projection viewing comfort in combination with the correlation analysis data of the brightness value of the real-time projection and the brightness of the real-time ambient light and the degree of influence of reflected light on the user of the corresponding projection pixel; The specific steps of S300 are as follows: S301, real-time positioning of the user's dynamic position is performed through an Internet of Things positioning device, and a spatial projection model is constructed by connecting the center point of the light source of the projection device, the center point of the user's head and the center point of the projection image; based on the spatial projection model, an image reflection angle of the projection image transmitted to the user is obtained; S302, based on the image reflection angle of the projected image transmitted to the user, mark the mirror reflection pixel points and diffuse reflection pixel points of the projected image; perform illumination impact analysis on each marked mirror reflection pixel point to the user and each diffuse reflection pixel point to the user, and the calculation formula is: , ； Among them, SR is the lighting impact value of the specular reflection to the user pixel; U(S) is the number of specular reflection to the user pixel; U(A) is the total number of projected pixels; DR is the lighting impact value of the diffuse reflection to the user pixel; U(D) is the number of diffuse reflection to the user pixel; Combining the correlation analysis data of the real-time projection image brightness data and the ambient light illumination data and the illumination impact values ​​of the corresponding specular reflection and diffuse reflection pixels reflected to the user, the user's real-time projection viewing comfort is analyzed, and the calculation formula is: ； Among them, PVC is the user's viewing comfort of the current projected image; N is the normal vector of the projected image surface; H is the line segment vector pointing from the center point of the projected image to the center point of the user's head; α is the angle between the line segment connecting the center point of the light source and the center point of the projected image and the line segment connecting the center point of the user's head and the center point of the projected image; through big data analysis of the user's viewing comfort interval [PVC p , PVC q ]; If the user viewing comfort level of the current projected image PVC∈[PVC p , PVC q ], the current projected image is marked as normal; if PVC∉[PVC p , PVC q ], then the current projected image is judged to be abnormal; S400: Outputting projection image data brightness analysis data, reflected light user impact analysis data and user real-time projection viewing comfort, and dynamically adjusting the projection image pixel array.

2. According to claim 1, a method for intelligently supervising projection quality based on smart home is characterized in that: The specific steps of acquiring the real-time projection image pixel array information of the projection device through the home Internet of Things and collecting the projection environment light data in real time through the environment light sensing device are as follows: S101, accessing the networked projection device through a home smart Internet of Things, and retrieving array data of pixels of an initial projection image; the array data of the pixels is the RGB channel intensity of the corresponding pixels; S102: Acquire the real-time indoor light intensity through indoor light sensing equipment, and transmit the data to the monitoring end through the Internet of Things.

3. According to claim 2, a method for intelligently supervising projection quality based on smart home is characterized in that: The specific steps of S400 for outputting the projection image data brightness analysis data, the reflected light user impact analysis data and the user's real-time projection viewing comfort, and dynamically adjusting the projection image pixel array are as follows: S401, during the projection operation, performing real-time analysis on the projection image, and outputting brightness analysis data of the real-time projection image, analysis data on the impact of reflected light on users, and user real-time projection viewing comfort; S402, intelligently controlling the projected image that is judged to be abnormal, wherein the control includes controlling the brightness of the projected image and controlling the image reflection angle.

4. An intelligent projection quality monitoring system based on smart home, characterized in that: The system includes a comprehensive data acquisition module, a brightness correlation impact analysis module, a comprehensive anomaly analysis module and a data control feedback unit; The comprehensive data acquisition module acquires the real-time projection image pixel array information of the projection device through the home Internet of Things; the projection environment lighting data is acquired in real time through the environment lighting sensing device; the brightness correlation impact analysis module analyzes the real-time brightness value of the projection image through the real-time projection image pixel array information; the correlation impact analysis is performed based on the real-time projection brightness value combined with the real-time environment light brightness; the comprehensive abnormality analysis module acquires the user position data in real time, builds a spatial projection model in combination with the user's real-time position data, and analyzes the user impact of the reflected light of the projection pixel points in combination with the model; analyzes the user's real-time projection viewing comfort of the user in combination with the correlation analysis data of the real-time projection brightness value and the real-time environment light brightness and the user impact of the reflected light of the corresponding projection pixel points; the data control feedback unit outputs the projection image data brightness analysis data, the reflected light user impact analysis data and the user's real-time projection viewing comfort, and dynamically controls the projection image pixel array; The brightness correlation influence analysis module includes a pixel array data analysis unit and a brightness correlation analysis unit; The pixel array data analysis unit retrieves the pixel array data of each pixel of the projection image and performs brightness analysis on each pixel; The brightness correlation analysis unit coordinates the balanced brightness value at each pixel in the projected image, performs a comprehensive brightness analysis on the projected image, and performs a correlation analysis based on the comprehensive brightness of the current projected image and the ambient light brightness; The comprehensive abnormality analysis module includes a space projection model construction unit and a user comfort abnormality analysis unit; The spatial projection model construction unit locates the user's dynamic position in real time through an Internet of Things positioning device, and connects the center point of the light source of the projection device, the center point of the user's head and the center point of the projection image to construct a spatial projection model; Acquiring the image reflection angle of the projected image transmitted to the user based on the spatial projection model; The user comfort abnormality analysis unit marks the specular reflection pixel points and diffuse reflection pixel points of the projection image based on the image reflection angle transmitted to the user by the projection image; Perform illumination impact analysis on each marked mirror reflection to user pixel and each diffuse reflection to user pixel respectively; analyze the user's real-time projection viewing comfort by combining correlation analysis data of real-time projection image brightness data and ambient light brightness data and illumination impact values ​​of corresponding mirror reflection and diffuse reflection pixels reflected to the user; analyze user viewing comfort ranges through big data, and make abnormal judgments on real-time user projection images based on user viewing comfort ranges.

5. The projection quality intelligent monitoring system based on smart home according to claim 4 is characterized by: The comprehensive data acquisition module includes a projection image array data acquisition unit and an ambient illumination data acquisition unit; The projection image array data acquisition unit performs data connection access to the networked projection device through the home smart Internet of Things, and retrieves the array data of the projection initial image pixel points; The array data of the pixel points is the RGB channel intensity of the corresponding pixel points; The ambient light data acquisition unit acquires the real-time indoor light intensity through the indoor light sensing device, and transmits the data to the monitoring end through the Internet of Things.

6. The projection quality intelligent monitoring system based on smart home according to claim 5 is characterized by: The data control feedback unit includes a comprehensive data output unit and a control feedback unit; During the projection operation, the comprehensive data output unit performs real-time analysis on the projection image, and outputs brightness analysis data of the real-time projection image, analysis data on the impact of reflected light on users, and user real-time projection viewing comfort; The control feedback unit performs intelligent control on the projection image that is judged to be abnormal, and the control includes control of the brightness of the projection image and control of the image reflection angle.

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