CN115358156B - Adaptive indoor scene modeling and optimization analysis system - Google Patents
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Abstract
The invention discloses a self-adaptive indoor scene modeling and optimizing analysis system which comprises a detection sensing module, a data storage module, a control module, a detection analysis module, a self-adaptive module, a boundary analysis module, an indoor scene analysis module and an indoor scene adjusting module, wherein the detection sensing module detects each detection index of an indoor scene through a sensor and sends the obtained detection data to the data storage module, the detection data collected by the detection sensing module is analyzed by the self-adaptive module, the detection analysis module and the boundary analysis module through different mathematical models to obtain a boundary analysis result, the indoor scene analysis module establishes a constraint limiting condition of the indoor scene in combination with a boundary threshold value, and then establishes an analysis model of the indoor scene for modeling analysis, and the indoor scene adjusting module adjusts and controls an indoor scene mode, so that the accuracy of indoor scene analysis and intelligent control is improved, and the system meets the requirements of different scene modes of a user.
Description
Technical Field
The invention relates to the technical field of target detection, in particular to a self-adaptive indoor scene modeling and optimization analysis system.
Background
With the development of the internet of things and manual only technology, services experienced by users in different indoor scenes are more and more diversified, for example, the requirements of the users on comfort levels under different scene modes in the indoor scenes are met, in order to meet the requirements of the users on different indoor scenes, a perfect research technology exists in the prior art, for example, three-dimensional indoor scene analysis modeling research based on deep learning, identification and analysis of indoor objects and the like, but in the analysis and control processes of the indoor scenes, the indoor scenes are influenced by multiple factors such as mutual interference between different control signals in an indoor environment and joint influence of an outdoor scene on the indoor scenes, so that the analysis processes of the indoor scenes are influenced by multiple influence parameters, errors occur in the analysis processes of the indoor scene three-dimensional modeling, the analysis boundaries of the indoor scenes and the non-indoor scenes are fuzzy, in order to enable the indoor scenes to meet the requirements of the users under different indoor scenes, accurate intelligent management is performed on each mode in the indoor scenes, and the control level of the indoor scenes is improved, and a self-adaptive indoor scene analysis system is provided.
Disclosure of Invention
In view of the above situation, and in order to overcome the defects of the prior art, an object of the present invention is to provide a self-adaptive indoor scene modeling and optimization analysis system, in which a detection sensing module of the system analyzes detection data in a multidimensional space to obtain a detection analysis result, an adaptive module maps an analysis function in the multidimensional space to a three-dimensional space, a boundary analysis module analyzes the analysis function to obtain a boundary threshold, and an indoor scene analysis module performs scene analysis on an indoor scene in combination with the boundary threshold to obtain an indoor scene analysis result, thereby greatly improving the accuracy of indoor scene analysis and control.
The technical scheme includes that the self-adaptive indoor scene modeling and optimizing analysis system comprises a detection sensing module, a data storage module, a control module, a detection analysis module, a self-adaptive module, a boundary analysis module, an indoor scene analysis module and an indoor scene adjusting module, wherein the detection analysis module, the self-adaptive module and the boundary analysis module use different mathematical models to analyze detection data collected by the detection sensing module to obtain a boundary analysis result, the indoor scene analysis module uses the boundary analysis result and a three-dimensional analysis model of an indoor scene to analyze the indoor scene to obtain an indoor scene analysis result, the control module sends an adjusting instruction to the indoor scene adjusting module according to the indoor scene analysis result of the indoor scene analysis module, and the indoor scene adjusting module controls and adjusts a scene mode of the indoor scene according to the adjusting instruction;
the specific analysis process of the system is as follows:
(1) The detection sensing module detects detection indexes of an indoor scene and an outdoor scene through the sensor to obtain detection data, the detection data are sent to the data storage module, the data storage module stores the detection data in a classified mode, and the detection data comprise indoor scene detection data and outdoor scene detection data;
(2) The detection analysis module establishes a multi-dimensional data analysis model according to the acquired detection data, and analyzes the detection data through the multi-dimensional data analysis model to obtain a detection analysis result;
step one, a detection analysis module extracts the same detection indexes in an indoor scene and an outdoor scene and marks the detection indexes as
,/>
The detection analysis module analyzes the indoor scene detection data and the outdoor detection data of each same detection index to obtain the influence vector (R) in the same environment>
Under the influence of (4) a comparison value which detects a change in data->
Wherein
，/>
And &>
Respectively representing the same detection criterion and the same environmental influence vector->
The influence change rate of the indoor scene detection data and the outdoor detection data under the action;
step two, the detection analysis module is based on the sameAn environmental impact vector
And (3) a transformation matrix for analyzing the change of the ratio of the influence change rate and the detection data, wherein the transformation matrix is as follows:
wherein the content of the first and second substances,
represents the number of the detection indexes and is greater or less than>
The number of changes in the detection data of the indicated detection index->
For an element of the change matrix, the environmental impact vector is { (R) }>
,/>
The environmental influence vector is a description of a mixed influence, under the influence of which each detection criterion->
Change value and change matrix of (4), environmental impact vector->
Obey the functional change, the equation function is as follows:
wherein
For detecting a change in the indicator>
Is a vector of the environmental impact, device for selecting or keeping>
Is->
Transposed of (5)>
The ratio of the influence change rate of the corresponding index;
step three, the detection analysis module obtains the influence according to the environmental influence vector
Establishing a corresponding functional relationship with the detection data to obtain->
，/>
，/>
The detection transformation function is a function researched in a multidimensional space, and the detection analysis module sends a detection analysis result including the detection transformation function obtained by analysis to the self-adaptive module;
(3) The self-adaptive module establishes a three-dimensional analysis model according to the detection data to obtain a three-dimensional analysis function, and then the self-adaptive module establishes a three-dimensional analysis model according to the three-dimensional analysis function and the three-dimensional analysis function
Establishing corresponding relation of detection transformation function of dimensional space in each analyzed point setFunctional device>
The self-adaptive module is used for judging whether the functional is matched with the functional>
Will->
Mapping the detection transformation function of the dimensional space into the three-dimensional space for analysis to obtain a three-dimensional boundary analysis function, and sending the three-dimensional boundary analysis function to a boundary analysis module by the self-adaptive module;
(4) The boundary analysis module analyzes the moving boundary of the indoor scene and the outdoor scene through a three-dimensional boundary analysis function to obtain a boundary threshold, and the boundary analysis module establishes a control formula of boundary movement in a three-dimensional space by using the three-dimensional boundary analysis function, wherein the control formula specifically comprises the following steps:
wherein
Respectively, a movement value in different directions of the indoor scene, is evaluated>
Represents a function of the speed of the movement>
Represents an intensity function of the detection criterion, is present>
A function of the number of detection indicators represented, based on the value of the detection indicator>
、/>
、/>
Is found by a three-dimensional boundary analysis function>
A transformation function in the direction->
，/>
，
The boundary analysis module obtains the boundary threshold value of the indoor scene through the dynamic analysis of the boundary of the indoor scene and the outdoor scene obtained through the function analysis in different directions;
(5) The indoor scene analysis module analyzes the indoor scene through a three-dimensional analysis model established for the indoor scene to obtain an indoor scene analysis result, the indoor scene analysis module firstly selects a set parameter in the indoor scene analysis by using a boundary threshold value, and analyzes the change in each direction in the indoor scene according to a constraint limiting condition by using a constraint limiting condition in the established three-dimensional analysis model of the set parameter to obtain the indoor scene analysis result;
(6) And the control module sends an adjusting instruction to the indoor scene adjusting module according to the indoor scene analyzing result of the indoor scene analyzing module, and the indoor scene adjusting module adjusts and converts the scene model of the indoor scene after receiving the adjusting instruction so as to meet the experience requirement of the user.
The boundary analysis module dynamically analyzes the characteristics of the dynamic boundaries of the indoor scene and the outdoor scene according to a control equation of boundary movement to obtain a boundary threshold of the indoor scene, and the actual number of detection index changes in the indoor scene and the actual number of detection index changes in the outdoor scene are compared with the boundary thresholdThe number of changes is respectively recorded as
The boundary analysis module obtains a point set according to the analysis of the control equation of the boundary, then establishes an elliptic partial differential equation of the dynamic boundary according to the point set, and analyzes the extreme value of the elliptic differential equation by taking the point set as a value range, and then the boundary analysis module calculates according to the extreme value to obtain a boundary threshold value, wherein the equation is as follows:
wherein the content of the first and second substances,
is an elliptical function of the dynamic boundary characteristic->
、/>
、/>
Is->
Smooth function in direction as a function of the point cloud, <' >>
Is an auxiliary variable, is>
Is based on a time variation function>
For the change rate of the corresponding characteristic of the dynamic boundary, the boundary analysis module solves an extreme value of the elliptic partial differential equation, and then obtains a boundary threshold value by analyzing the extreme value。
The indoor scene analysis module analyzes the indoor scene through a three-dimensional analysis model established for the indoor scene to obtain an indoor scene analysis result, the indoor scene analysis obtains a boundary threshold value according to an extreme value of a boundary, the indoor scene analysis module places a point-line plane on the space of the indoor scene into a geometric space for analysis and modeling, and then utilizes constraint limiting conditions to constrain modeling in the indoor scene,
illustrating the integrated change in different directions in an indoor scene.
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages:
1. the detection analysis module analyzes detection data through the established multidimensional data analysis model to obtain a detection analysis result, firstly, corresponding influence change rates in an indoor scene and an outdoor scene in the detection data according to different detection indexes under the influence of different environmental influence vectors are analyzed according to the influence change rates to obtain a change matrix, finally, the detection analysis module obtains a detection transformation function according to the change value of the detection indexes and the detection data and sends the detection transformation function to the self-adaptive module, the detection analysis module analyzes the indoor scene as a whole, dynamic analysis is carried out on the boundary of the indoor scene and the non-indoor scene, and the influence of the boundary change on the indoor scene analysis when the indoor scene is changed is fully considered.
2. The self-adaptive module in the system utilizes the mapping relation between functions to obtain functional functions according to the detection and analysis results of the detection and analysis module, utilizes the functional functions to map the analysis functions of the multidimensional space into a three-dimensional space, and then carries out boundary analysis in the three-dimensional space by the boundary analysis module to obtain a boundary threshold.
3. When the indoor scene analysis module establishes an analysis model of the indoor scene, the constraint limiting conditions of the indoor scene are established according to the boundary threshold value, and modeling analysis is performed on the indoor scene, so that the accuracy of indoor scene analysis is improved, and the intelligent detection analysis of the indoor scene is enhanced.
Drawings
FIG. 1 is an overall block diagram of the system;
FIG. 2 is a calculation flow diagram;
FIG. 3 is a flow chart of the computation of the detection analysis module;
FIG. 4 is a flow chart of the calculation of the boundary analysis module.
Detailed Description
The foregoing and other aspects, features and advantages of the invention will be apparent from the following more particular description of embodiments of the invention, as illustrated in the accompanying drawings in which reference is made to figures 1 to 4. The structural contents mentioned in the following embodiments are all referred to the attached drawings of the specification.
With the continuous development of electronic technology, more and more intelligent electronic products are applied in indoor scenes, and the sensory requirements of people on the indoor scenes in life are larger and larger, for example, intelligent electric appliances, intelligent robots, intelligent lamps and intelligent curtains in intelligent homes, in an intelligent home environment, the indoor scenes are affected by all the intelligent home electric appliances, such as illumination of bedrooms, and the indoor illumination is affected by common indoor and outdoor influence factors, the self-adaptive indoor scene modeling and optimization analysis system comprises a detection sensing module, a data storage module, a control module, a detection analysis module, a self-adaptive module, a boundary analysis module, an indoor scene analysis module and an indoor scene adjusting module, wherein the detection analysis module, the self-adaptive module and the boundary analysis module analyze detection data collected by the detection sensing module by using different mathematical models to obtain a boundary analysis result, the indoor scene analysis module analyzes the indoor scenes by using the boundary analysis result and a three-dimensional analysis model of the indoor scenes to obtain an indoor scene analysis result, and the control module controls the indoor scene adjustment module according to the indoor scene analysis result and the indoor scene adjustment mode;
the specific analysis process of the system is as follows:
(1) The detection sensing module detects detection indexes of an indoor scene and an outdoor scene through the sensor to obtain detection data, the detection data are sent to the data storage module, the data storage module stores the detection data in a classified mode, the detection data comprise indoor scene detection data and outdoor scene detection data, a scene where an external environment corresponding to the indoor scene is located is called as an outdoor scene, in the process of analyzing the indoor scene, boundary analysis of the indoor scene is a key of data analysis, and movement of the boundary of the indoor scene and the outdoor scene is influenced by common influence factors, so that when modeling analysis is conducted on the indoor scene, influence of outdoor scene change needs to be considered;
(2) The detection analysis module establishes a multi-dimensional data analysis model according to the acquired detection data, and analyzes the detection data through the multi-dimensional data analysis model to obtain a detection analysis result;
step one, a detection analysis module extracts the same detection indexes in an indoor scene and an outdoor scene and marks the detection indexes as
,/>
The detection analysis module analyzes the indoor scene detection data and the outdoor detection data of each same detection index to obtain the same environment influence vector ^ based on>
Under the influence of (4) detecting a ratio of a change in data->
Wherein
，/>
And &>
Respectively representing the same detection criterion and the same environmental impact vector>
The influence change rate of indoor scene detection data and outdoor detection data under action is obtained by analyzing according to environment influence variables and detection data;
step two, the detection analysis module carries out detection analysis according to the same environmental influence vector
And (3) a transformation matrix for analyzing the change of the ratio of the influence change rate and the detection data, wherein the transformation matrix is as follows:
wherein the content of the first and second substances,
represents the number of the detection indexes and is greater or less than>
The number of changes in the detection data of the indicated detection index->
For an element of the change matrix, is>
Indicating that the environmental influence vector is on the ^ th->
The influence degree value of each detection index and the environmental influence vector are->
,/>
The environmental influence vector is a description of a mixed influence, under the influence of which each detection criterion->
Change value and change matrix of (4), environmental impact vector->
Obey to the function change, the equation function is as follows:
wherein
For detecting a change in the criterion>
In order to be the vector of the environmental influence, device for selecting or keeping>
Is->
Is transferred and is taken out>
The ratio of the influence change rate of the corresponding index;
step three, the detection analysis module obtains the influence according to the environmental influence vector
Establishing a corresponding functional relationship with the detection data to obtain->
，/>
,/>
，/>
The detection transformation function is a function researched in a multidimensional space, and the detection analysis module sends a detection analysis result including the detection transformation function obtained by analysis to the self-adaptive module;
(3) The self-adaptive module establishes a three-dimensional analysis model according to the detection data to obtain a three-dimensional analysis function, and then the self-adaptive module establishes a three-dimensional analysis model according to the three-dimensional analysis function and the three-dimensional analysis function
The corresponding relation of the detection transformation function of the dimension space in each analyzed point set establishes a functional->
The adaptive module is used for judging whether the functional is in the normal state or not>
Will->
Mapping the detection transformation function of the dimensional space into the three-dimensional space for analysis to obtain a three-dimensional boundary analysis function, and using a self-adaptive module to perform analysisThe three-dimensional boundary analysis function is sent to a boundary analysis module, the adaptive analysis process carried out by the adaptive module is to analyze an adaptive model established after the indoor scene and the outdoor scene are jointly analyzed by the detection analysis module, and the adaptive process comprises the adaptation of the outdoor scene and the indoor scene;
(4) The boundary analysis module analyzes the moving boundary of the indoor scene and the outdoor scene through a three-dimensional boundary analysis function to obtain a boundary threshold, and the boundary analysis module establishes a control formula of boundary movement in a three-dimensional space by using the three-dimensional boundary analysis function, wherein the control formula specifically comprises the following steps:
wherein
Respectively, a movement value in different directions of the indoor scene, is evaluated>
Represents a function of the speed of the movement>
Representing an intensity function of a detection index>
A function of the number of detection indicators represented, based on the value of the detection indicator>
、/>
、/>
Is found by a three-dimensional boundary analysis function>
A transformation function in the direction->
，/>
，
The boundary analysis module obtains the boundary threshold value of the indoor scene through the dynamic analysis of the boundary of the indoor scene and the outdoor scene obtained through the function analysis in different directions;
(5) The indoor scene analysis module analyzes the indoor scene by using a slam algorithm to obtain a key frame filtering of an indoor scene image and then performs image bilateral filtering, wherein the indoor scene analysis module firstly uses a boundary threshold to select a set parameter in indoor scene analysis, uses a constraint limiting condition in a three-dimensional analysis model established by the set parameter, and analyzes changes in each direction in the indoor scene according to the constraint limiting condition to obtain an indoor scene analysis result, in the prior art, a method for analyzing the indoor scene by using a three-dimensional modeling and deep learning algorithm is common, the indoor scene analysis module analyzes and models the indoor scene in a three-dimensional space according to a point-line plane of the indoor scene, the parameters in each direction in the three-dimensional model are influenced by the boundary threshold, besides a method for analyzing the indoor scene by establishing the three-dimensional model, the indoor scene analysis module also analyzes the indoor scene by using the image analysis method, the indoor scene analysis module obtains a key frame filtering of the indoor scene image by using the slam algorithm, and performs image bilateral filtering, and the filtering formula is as follows:
wherein the content of the first and second substances,
represents the coordinates of the pixel currently requiring filtering>
A pixel value representing a coordinate, < > or >>
Represents a filtered pixel value, <' > based on a pixel value in a pixel that has been filtered>
Represents->
Nearby neighborhood, <' > or>
The indoor scene analysis module is used for fusing and reconstructing point clouds and determining the point cloud number after judging the point clouds after image filtering;
(6) And the control module sends an adjusting instruction to the indoor scene adjusting module according to the indoor scene analyzing result of the indoor scene analyzing module, and the indoor scene adjusting module adjusts and converts the scene model of the indoor scene after receiving the adjusting instruction so as to meet the experience requirement of the user.
The boundary analysis module dynamically analyzes the characteristics of the dynamic boundaries of the indoor scene and the outdoor scene according to a control equation of boundary movement to obtain a boundary threshold value of the indoor scene, and records the actual number and the change number of the detection index changes in the indoor scene as
The boundary analysis module obtains a point set according to the analysis of the control equation of the boundary, then establishes an elliptic partial differential equation of the dynamic boundary according to the point set, analyzes the extreme value of the elliptic differential equation by taking the point set as a value domain, and then calculates according to the extreme value to obtain a boundary threshold value, wherein the equation is as follows:
wherein, the first and the second end of the pipe are connected with each other,
is an elliptical function of the dynamic boundary characteristic->
、/>
、/>
Is->
Smooth function in direction as a function of the point cloud, <' >>
Is an auxiliary variable, is>
Is based on a time variation function>
And solving an extreme value of the elliptic partial differential equation by the boundary analysis module for the change rate of the corresponding characteristic of the dynamic boundary, and analyzing by using the extreme value to obtain a boundary threshold value.
The indoor scene analysis module analyzes the indoor scene through a three-dimensional analysis model established for the indoor scene to obtain an indoor scene analysis result, the indoor scene analysis obtains a boundary threshold value according to an extreme value of a boundary, the indoor scene analysis module places a point-line plane on the space of the indoor scene into a geometric space for analysis and modeling, and then utilizes constraint limiting conditions to constrain modeling in the indoor scene,
showing the integrated change in different directions in an indoor scene.
The indoor scene adjusting module controls and adjusts the scene mode of the indoor scene according to the adjusting instruction sent by the control module, and the indoor scene adjusting module adjusts different detection indexes of different indoor scenes according to the indoor scene analysis result of the indoor scene analysis module.
The detection sensing module comprises an image sensor, a temperature sensor, a light sensor and an IMU sensor, the detection sensing module carries out data acquisition on detection indexes in an indoor scene and an outdoor scene, the acquired detection data are sent to the data storage module, when the detection indexes in the indoor scene and the outdoor scene are influenced by environmental influence factors, the detection data of the indoor scene change, the control module sends a data calling instruction to the data storage module, and the detection data are analyzed by the analysis module.
When the system is used in particular, the system mainly comprises a detection induction module, a data storage module, a control module, a detection analysis module, an adaptive module, a boundary analysis module, an indoor scene analysis module and an indoor scene adjustment module, wherein the detection induction module detects each detection index of an indoor scene and an outdoor scene through a sensor to obtain detection data and sends the detection data to the data storage module, the detection analysis module firstly obtains corresponding influence change rates in the indoor scene and the outdoor scene according to a multi-dimensional data analysis model established by the detection data of different detection indexes under the influence of different environmental influence vectors, then analyzes according to the influence change rates to obtain a change matrix, finally the detection analysis module obtains a detection transformation function according to the change values of the detection indexes and the detection data and sends the detection transformation function to the adaptive module, the adaptive module obtains a functional function by utilizing the mapping relation between the functions, maps the analysis function of the multi-dimensional space into a three-dimensional space by utilizing the functional function, then performs boundary analysis in the three-dimensional space to obtain a boundary analysis result, controls the indoor scene to obtain an indoor scene regulation result by mapping the indoor scene threshold analysis module according to the indoor scene analysis result and the indoor scene regulation result, and the indoor scene regulation result by utilizing the functional function after the boundary analysis module performs boundary analysis result to obtain a boundary analysis result, and a boundary regulation result, and a control command to control the indoor scene regulation result, and the indoor scene analysis module is used for carrying out indoor scene modeling analysis, so that the accuracy of indoor scene analysis and intelligent control is improved, and the system meets the requirements of users in different scene modes.
While the present invention has been described in further detail with reference to specific embodiments thereof, it should not be construed that the present invention is limited thereto; for those skilled in the art to which the present invention pertains and related technologies, the extension, operation method and data replacement should fall within the protection scope of the present invention based on the technical solution of the present invention.
Claims (5)
1. A self-adaptive indoor scene optimization analysis system is characterized by comprising a detection induction module, a data storage module, a control module, a detection analysis module, a self-adaptive module, a boundary analysis module, an indoor scene analysis module and an indoor scene adjustment module, wherein the detection analysis module, the self-adaptive module and the boundary analysis module use different mathematical models to analyze detection data collected by the detection induction module to obtain a boundary analysis result, the indoor scene analysis module further uses the boundary analysis result and a three-dimensional analysis model of an indoor scene to analyze the indoor scene to obtain an indoor scene analysis result, the control module sends an adjustment instruction to the indoor scene adjustment module according to the indoor scene analysis result of the indoor scene analysis module, and the indoor scene adjustment module controls and adjusts a scene mode of the indoor scene according to the adjustment instruction;
the specific analysis process of the system is as follows:
(1) The detection sensing module detects detection indexes of an indoor scene and an outdoor scene through the sensor to obtain detection data, the detection data are sent to the data storage module, the data storage module stores the detection data in a classified mode, and the detection data comprise indoor scene detection data and outdoor scene detection data;
(2) The detection analysis module establishes a multi-dimensional data analysis model according to the acquired detection data, and analyzes the detection data through the multi-dimensional data analysis model to obtain a detection analysis result;
step one, a detection analysis module extracts the same detection indexes in an indoor scene and an outdoor scene and marks the detection indexes as
,
The detection analysis module analyzes the indoor scene detection data and the outdoor detection data of each same detection index to obtain the same environmental influence vector
Under the influence of (2) detecting the ratio of the change in the data
Wherein
，
And
respectively representing the same environment of the same detection indexInfluence vector
The influence change rate of the indoor scene detection data and the outdoor detection data under the action;
step two, the detection analysis module is used for detecting the influence vector according to the same environment
And (3) a transformation matrix for analyzing the change of the ratio of the influence change rate and the detection data, wherein the transformation matrix is as follows:
wherein the content of the first and second substances,
the number of the detection indexes is shown,
the number of changes in the detection data of the indicated detection index,
to change the elements of the matrix, the environmental impact vector is
,
The environmental influence vector is a description of a mixed influence factor, and each detection index is influenced by the environmental influence vector
Change value and change matrix of (2), environmental influence vector
Obey to the function change, the equation function is as follows:
wherein
In order to detect the change value of the index,
in order to be the vector of the environmental influence,
is composed of
The transpose of (a) is performed,
the ratio of the influence change rate of the corresponding index;
step three, the detection analysis module obtains the influence according to the environmental influence vector
Establishing corresponding function relation with the detection data to obtain
，
,
，
The detection transformation function is a function researched in a multidimensional space, and the detection analysis module sends a detection analysis result including the detection transformation function obtained by analysis to the self-adaptive module;
(3) The self-adaptive module establishes a three-dimensional analysis model according to the detection data to obtain a three-dimensional analysis function, and then the self-adaptive module establishes a three-dimensional analysis model according to the three-dimensional analysis function and the three-dimensional analysis function
Establishing functional by using correspondence relation of detection transformation function of dimensional space in each analyzed point set
Adaptive module passes pair functional
Will be analyzed
Mapping the detection transformation function of the dimensional space into the three-dimensional space for analysis to obtain a three-dimensional boundary analysis function, and sending the three-dimensional boundary analysis function to a boundary analysis module by the self-adaptive module;
(4) The boundary analysis module analyzes the moving boundary of the indoor scene and the outdoor scene through a three-dimensional boundary analysis function to obtain a boundary threshold, and the boundary analysis module establishes a control formula of boundary movement in a three-dimensional space by using the three-dimensional boundary analysis function, wherein the control formula specifically comprises the following steps:
wherein
Respectively representing indoor scenes in different directionsThe value of the shift of (a) is,
represented is a function of the speed of the movement,
represented is a function of the intensity of the detected index,
a function of the number of detection indicators represented,
、
、
is obtained by a three-dimensional boundary analysis function
The transformation function in the direction of the direction,
，
，
the boundary analysis module obtains the boundary threshold value of the indoor scene through the dynamic analysis of the boundary of the indoor scene and the outdoor scene obtained through the function analysis in different directions;
(5) The indoor scene analysis module analyzes the indoor scene through a three-dimensional analysis model established for the indoor scene to obtain an indoor scene analysis result, the indoor scene analysis module firstly selects a set parameter in the indoor scene analysis by using a boundary threshold value, and analyzes the change in each direction in the indoor scene according to a constraint limiting condition by using a constraint limiting condition in the established three-dimensional analysis model of the set parameter to obtain the indoor scene analysis result;
(6) And the control module sends an adjusting instruction to the indoor scene adjusting module according to the indoor scene analyzing result of the indoor scene analyzing module, and the indoor scene adjusting module adjusts and converts the scene model of the indoor scene after receiving the adjusting instruction so as to meet the experience requirement of the user.
2. The adaptive indoor scene optimization analysis system of claim 1,
the boundary analysis module dynamically analyzes the characteristics of the dynamic boundaries of the indoor scene and the outdoor scene according to a control equation of boundary movement to obtain a boundary threshold value of the indoor scene, and records the actual number and the change number of the detection index changes in the indoor scene as
The boundary analysis module obtains a point set according to the analysis of the control equation of the boundary, then establishes an elliptic partial differential equation of the dynamic boundary according to the point set, analyzes the extreme value of the elliptic differential equation by taking the point set as a value domain, and then calculates according to the extreme value to obtain a boundary threshold value, wherein the equation is as follows:
wherein, the first and the second end of the pipe are connected with each other,
is an elliptical function of the dynamic boundary characteristics,
、
、
is composed of
A smooth function of the point cloud variation in direction,
as an auxiliary variable, the number of variables,
as a function of the change in time,
and solving an extreme value of the elliptic partial differential equation by the boundary analysis module for the change rate of the corresponding characteristic of the dynamic boundary, and analyzing by using the extreme value to obtain a boundary threshold value.
3. The adaptive indoor scene optimization analysis system of claim 1, wherein the indoor scene analysis module analyzes the indoor scene through a three-dimensional analysis model established for the indoor scene to obtain an indoor scene analysis result, the indoor scene analysis obtains a boundary threshold according to an extreme value of a boundary, the indoor scene analysis module places a point-line plane on a space of the indoor scene into a geometric space for analysis and modeling, and then utilizes constraint constraints to constrain modeling in the indoor scene,
illustrating the integrated change in different directions in an indoor scene.
4. The adaptive indoor scene optimization analysis system according to claim 1, wherein the indoor scene adjusting module controls and adjusts the scene mode of the indoor scene according to the adjusting instruction sent by the control module, and the indoor scene adjusting module adjusts different detection indexes of different indoor scenes according to the indoor scene analysis result of the indoor scene analysis module.
5. The adaptive indoor scene optimization analysis system according to claim 1, wherein the detection sensing module comprises a temperature sensor, a light sensor and a gravity sensor, the detection sensing module collects data of detection indexes in the indoor scene and the outdoor scene and sends the collected detection data to the data storage module, when the detection indexes in the indoor scene and the outdoor scene are influenced by environmental influence factors, the detection data of the indoor scene change, the control module sends a data calling instruction to the data storage module, and the analysis module analyzes the detection data.
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| CN114549739A (en) * | 2022-01-12 | 2022-05-27 | 江阴小象互动游戏有限公司 | Control system and method based on three-dimensional data model |
| CN114662594A (en) * | 2022-03-25 | 2022-06-24 | 浙江省通信产业服务有限公司 | Target feature recognition analysis system |
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| CN106910242A (en) * | 2017-01-23 | 2017-06-30 | 中国科学院自动化研究所 | The method and system of indoor full scene three-dimensional reconstruction are carried out based on depth camera |
| CN114549739A (en) * | 2022-01-12 | 2022-05-27 | 江阴小象互动游戏有限公司 | Control system and method based on three-dimensional data model |
| CN114662594A (en) * | 2022-03-25 | 2022-06-24 | 浙江省通信产业服务有限公司 | Target feature recognition analysis system |
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