Method and system for quickly laying optimization control points in indoor complex scene

Abstract

The invention belongs to the technical field of control point layout, and relates to an optimized control point rapid layout method and system in an indoor complex scene, and the method comprises the following steps: constructing a model for dynamically dividing monitoring units, and determining the size and number of the monitoring units; a three-dimensional model of the control points is established, and the specific position of each control point in the three-dimensional model is identified in a label and special color mode; checking the intervisibility of the initial control points by a ray tracing technology, and optimizing the layout of the control points if judging that the corresponding control points are not intervisible; the indoor light intensity is monitored in real time through a light sensor; setting an upper limit threshold value of natural light and a lower limit threshold value of natural light, comparing the upper limit threshold value and the lower limit threshold value with the indoor light intensity, and selecting different illumination adjusting modes. The problem that automatic adjustment cannot be carried out according to real-time changes of indoor light intensity can be solved.

Description

Technical Field

[0001] The invention belongs to the technical field of control point layout, and relates to a method and system for fast layout of optimized control points in complex indoor scenes. Background Art

[0002] The limitations of existing technologies restrict the efficiency and accuracy of monitoring and deployment. The traditional control point deployment process relies too much on manual experience and static planning models. These methods lack sufficient flexibility and adaptability and cannot be dynamically adjusted according to the actual situation on site. For example, when determining the size and number of monitoring units, the lack of scientific calculation basis and precise methods leads to unreasonable distribution of monitoring units, especially in important areas or areas with frequent activities. The density and accuracy of monitoring often cannot meet actual needs.

[0003] Traditional control point layout methods usually use simplified two-dimensional plane models to determine the specific locations of control points. This model ignores the complexity and three-dimensional spatial characteristics of the indoor environment. The indoor environment usually contains various obstacles, irregular structures and variable spatial layouts, all of which have a significant impact on the propagation of light and the visibility of control points; the two-dimensional plane model cannot accurately reflect these three-dimensional characteristics, affecting the accuracy and integrity of the data; in terms of light adjustment, traditional indoor lighting control systems also have many shortcomings.

[0004] Based on the above problems, traditional indoor lighting control systems usually rely on manual operation or simple timing control, and cannot automatically adjust according to the real-time changes in indoor light intensity. This passive control method not only reduces work efficiency, but also causes unnecessary energy waste; the light conditions in the working area of ​​the laser scanning system have a direct impact on the performance and accuracy of the indoor lighting control system. Summary of the invention

[0005] In order to solve the above problems, the present invention provides a method and system for quickly deploying optimized control points in complex indoor scenes.

[0006] In a first aspect, the present invention provides a method for rapidly deploying optimized control points in a complex indoor scene, which adopts the following technical solution:

[0007] A method for quickly deploying optimized control points in a complex indoor scene includes the following steps:

[0008] S1. Build a model for dynamic division of monitoring units and determine the size and number of monitoring units;

[0009] S2, establishing a three-dimensional model of the control points, and marking the specific position of each control point in the three-dimensional model by using marks, labels, or special colors;

[0010] S3, using ray tracing technology to check the inter-visibility of the initial control points, if it is determined that the corresponding control points are not inter-visible, the control point layout is optimized;

[0011] S4, using a light sensor to monitor the indoor light intensity in real time;

[0012] S5. Set the upper and lower thresholds of natural light, compare the upper and lower thresholds with the indoor light intensity, and select different ways to adjust the light to maintain optimal lighting conditions when the laser scanning system is working.

[0013] A further solution of the present invention, step S1, comprises the following steps:

[0014] According to the drawings of on-site survey and the data of on-site investigation, the size of the space, the shape and distribution of obstacles, the performance of the camera, the installation angle and height of the camera are collected to build a model for the dynamic division of monitoring units and determine the size and number of monitoring units. In particular, the density and accuracy of monitoring units can be increased in important areas or areas with frequent activities;

[0015] According to the drawings of on-site survey, a unified indoor coordinate system is established, and the coordinate system is calibrated and updated regularly. A full range of ray tracing simulation is performed for each control point to ensure that the location information of all control points and obstacles is accurate.

[0016] A further solution of the present invention is to monitor the model of dynamic division of the unit, comprising the following steps:

[0017] Calculate the total area of ​​the monitoring area to meet the following formula:

[0018]

[0019] Where A is the total area of ​​the monitoring area, f(x,y) is a function describing the terrain change, x1 and x2 are the lateral boundaries of the monitoring area, and y1 and y2 are the longitudinal boundaries of the monitoring area;

[0020] Calculate the area of ​​the obstacle to satisfy the following formula:

[0021]

[0022] Among them, A obstacle is the total area occupied by obstacles, n is the number of obstacles, S i is the surface of the ith obstacle, g i (x,y) is a function that describes the shape and distribution of the i-th obstacle;

[0023] Calculate the effective area that can be used for monitoring and satisfy the following formula:

[0024] A effective =A-(A obstacle +A blocked )

[0025] Among them, A effective Represents the effective area that can be used for monitoring, A blocked Indicates the area that cannot be monitored due to buildings.

[0026] A further solution of the present invention is to monitor the model of dynamic division of the unit, further comprising the following steps:

[0027] Calculate the monitoring area of ​​a single surveillance camera to meet the following formula:

[0028]

[0029] Among them, A camera represents the monitoring area of ​​a single camera, R represents the monitoring radius, θ represents the installation angle between the camera and the ground, h represents the installation height of the camera, and H represents the average height of the monitoring area;

[0030] Calculate the minimum number of cameras required to satisfy the following formula:

[0031]

[0032] Among them, n min represents the minimum number of cameras required, A overlap Indicates the area of ​​overlapping monitoring areas of multiple cameras, n blind Indicates the number of additional cameras to cover the blind area.

[0033] A further solution of the present invention, step S3, comprises the following steps:

[0034] According to the complexity of the room, the distribution of control points, and the needs of inter-visibility assessment, the parameters of ray tracing are reasonably set. According to the rays of each control point, the propagation path of light in three-dimensional space is simulated, and the intersection information of rays and objects in the indoor environment is recorded;

[0035] In addition to using the ray casting method to check the visibility of a two-dimensional plane, the ray tracing algorithm is used to simulate the propagation path of light in three-dimensional space, and the visibility between control points can be accurately determined based on the intersection information between the ray and the object.

[0036] A further embodiment of the present invention, a ray tracing algorithm, comprises the following steps:

[0037] Use ray tracing technology to check the inter-visibility of the initial control points. Based on the intersection information of the ray and the object, check the inter-visibility of the initial control points and the three-dimensional occlusion relationship of the control points to determine whether there are obstacles blocking the line of sight.

[0038] If a ray successfully reaches other control points and is not blocked, determine the line of sight between the corresponding control points;

[0039] If a ray is completely blocked by an object, it is determined that the corresponding control points have no line of sight, and the control point layout is optimized.

[0040] A further solution of the present invention is to optimize the layout of control points, comprising the following steps:

[0041] Establish the control points of the sphere based on the spiral distribution of the Fibonacci sequence;

[0042] Determine the division of longitude and latitude of the sphere, with longitude being considered as lines from the North Pole to the South Pole and latitude being considered as circles perpendicular to the longitude; use the spiral distribution of the Fibonacci sequence to generate the division points of longitude and latitude, and the characteristics of the Fibonacci sequence enable the generated points to be evenly distributed on the sphere; calculate the three-dimensional coordinates of the control points based on the division points of longitude and latitude;

[0043] Generate Fibonacci sequence: F1=1, F2=1, F n =F n-1 +F n-2 (n≥3);

[0044] Set each meridian division point θ i and each latitude division point Z ij =R cosθ i ;

[0045] Where R represents the radius of the sphere; (x ij ,y ij , Z ij ) are the three-dimensional coordinates of the control points corresponding to the i-th longitude segmentation point and the j-th latitude segmentation point.

[0046] A further solution of the present invention, step S5, comprises the following steps:

[0047] The light sensor monitors the indoor light intensity and calculates the actual indoor light intensity L;

[0048] According to historical data and experience, the upper limit threshold of natural light L is set. max , the lower threshold of natural light L min ;

[0049] If the actual indoor light intensity L>L max , indicating that the natural light is too strong, automatically draw the curtains or adjust the sunshade equipment;

[0050] If the actual indoor light intensity L <L min, indicating that the natural light is too weak, the curtains are automatically opened or the sunshade equipment is adjusted, and the brightness of the artificial lighting needs to be adjusted;

[0051] If L min ≤Actual indoor light intensity L≤L max , indicating that the natural light is appropriate and the curtains and sunshade devices are kept in good condition.

[0052] A further solution of the present invention requires adjusting the brightness of artificial lighting, comprising the following steps:

[0053] B(L)=B base -K·(LL optimal )

[0054] Among them, B base Indicates basic lighting brightness, K indicates adjustment coefficient, L optimal Indicates the ideal light brightness, and B(L) indicates the brightness of artificial lighting that needs to be adjusted.

[0055] In a second aspect, the present invention provides a system for rapidly deploying optimized control points in complex indoor scenes, which adopts the following technical solutions:

[0056] A fast deployment system for optimized control points in complex indoor scenes, including a monitoring unit dynamic division module, a three-dimensional model construction module, a control point line-of-sight detection module, an indoor light intensity monitoring module, and a light adjustment mode selection module;

[0057] The monitoring unit dynamic division module is used to build a monitoring unit dynamic division model and determine the size and number of monitoring units;

[0058] A 3D model building module is used to build a 3D model of control points and to identify the specific position of each control point in the 3D model by using marks, labels and special colors;

[0059] Control point visibility detection module: ray tracing technology is used to check the visibility of the initial control points. If it is determined that there is no visibility between the corresponding control points, the control point layout is optimized;

[0060] Indoor light intensity monitoring module, using light sensor to monitor indoor light intensity in real time;

[0061] The light adjustment mode selection module is used to set the upper and lower thresholds of natural light, compare the upper and lower thresholds with the indoor light intensity, and select different light adjustment modes.

[0062] In summary, the present invention includes the following beneficial technical effects:

[0063] 1. By constructing a model for dynamic division of monitoring units, this method can accurately determine the size and number of monitoring units based on on-site mapping drawings and survey data, especially increasing the monitoring density and accuracy in important or active areas; using three-dimensional models and control point markings, combined with ray tracing technology, the layout of control points can be optimized to ensure good visibility between control points, thereby improving the accuracy and overall efficiency of monitoring and layout;

[0064] 2. Use light sensors to monitor indoor light intensity in real time, and automatically adjust curtains, sunshade equipment and artificial lighting brightness according to the set upper and lower thresholds of natural light to maintain the best lighting conditions when the laser scanning system is working; this intelligent lighting adjustment not only improves the comfort of the working environment, but also effectively reduces energy consumption and achieves the goal of energy saving and environmental protection;

[0065] 3. This method is suitable for indoor scenes of different complexity and scale. By dynamically dividing the monitoring units and optimizing the layout of control points, it ensures that all kinds of environments can achieve ideal monitoring effects. The intelligent lighting adjustment module is also highly flexible and configurable, and can adjust the lighting adjustment strategy according to actual needs to meet the needs of diverse application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 A flow chart of a method for rapidly deploying optimized control points in complex indoor scenes is disclosed.

[0067] Figure 2 A structural schematic diagram of a system for rapidly deploying optimized control points in complex indoor scenes is disclosed. DETAILED DESCRIPTION

[0068] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0069] The following is combined with Figure 1-2 The preferred embodiments of the present invention are described in detail.

[0070] See attached Figure 1The present invention proposes a method for fast layout of optimized control points in complex indoor scenes. The method determines the monitoring unit by constructing a dynamic division model of the monitoring unit, establishes a three-dimensional model of the control point and marks the position, optimizes the layout of the control point by using ray tracing technology to ensure the visibility of the control point, monitors the indoor light intensity in real time and automatically adjusts the light to maintain the optimal light conditions when the laser scanning system is working. The method includes the following steps:

[0071] S1. Build a model for dynamic division of monitoring units and determine the size and number of monitoring units;

[0072] S2, establishing a three-dimensional model of the control points, and marking the specific position of each control point in the three-dimensional model by using marks, labels, or special colors;

[0073] S3, using ray tracing technology to check the inter-visibility of the initial control points, if it is determined that the corresponding control points are not inter-visible, the control point layout is optimized;

[0074] S4, using a light sensor to monitor the indoor light intensity in real time;

[0075] S5. Set the upper and lower thresholds of natural light, compare the upper and lower thresholds with the indoor light intensity, and select different ways to adjust the light to maintain optimal lighting conditions when the laser scanning system is working.

[0076] In one embodiment of the present invention, step S1 includes the following steps:

[0077] According to the drawings of on-site survey and the data of on-site investigation, the size of the space, the shape and distribution of obstacles, the performance of the camera, the installation angle and height of the camera are collected to build a model for the dynamic division of monitoring units and determine the size and number of monitoring units. In particular, the density and accuracy of monitoring units can be increased in important areas or areas with frequent activities;

[0078] According to the drawings of on-site survey, a unified indoor coordinate system is established, and the coordinate system is calibrated and updated regularly. A full range of ray tracing simulation is performed for each control point to ensure that the location information of all control points and obstacles is accurate.

[0079] In one embodiment of the present invention, the model of dynamic partitioning of monitoring units includes the following steps:

[0080] Calculate the total area of ​​the monitoring area to meet the following formula:

[0081]

[0082] Where A is the total area of ​​the monitoring area, f(x,y) is a function that describes the terrain changes, x1 and x2 are the lateral boundaries of the monitoring area, and y1 and y2 are the longitudinal boundaries of the monitoring area.

[0083] Calculate the area of ​​the obstacle to satisfy the following formula:

[0084]

[0085] Among them, A obstacle is the total area occupied by obstacles, n is the number of obstacles, S i is the surface of the ith obstacle, g i (x,y) is a function that describes the shape and distribution of the i-th obstacle.

[0086] Calculate the effective area that can be used for monitoring and satisfy the following formula:

[0087] A effective =A-(A obstacle +A blocked )

[0088] Among them, A effective Represents the effective area that can be used for monitoring, A blocked Indicates the area that cannot be monitored due to buildings.

[0089] Calculate the monitoring area of ​​a single surveillance camera to meet the following formula:

[0090]

[0091] Among them, A camera represents the monitoring area of ​​a single camera, R represents the monitoring radius, θ represents the installation angle between the camera and the ground, h represents the installation height of the camera, and H represents the average height of the monitoring area.

[0092] Calculate the minimum number of cameras required to satisfy the following formula:

[0093]

[0094] Among them, n min represents the minimum number of cameras required, A overlap Indicates the area of ​​overlapping monitoring areas of multiple cameras, n blind Indicates the number of additional cameras to cover the blind area.

[0095] For example, the monitoring area is regarded as an irregular area of ​​a two-dimensional plane. Assume that the length and width of the monitoring area are 100 meters and 50 meters respectively, obstacles such as small buildings occupy 10% of the monitoring area in total, the monitoring radius of the monitoring camera is 20 meters, the installation angle is 30 degrees, and the average height of the monitoring area is 2 meters;

[0096] Assuming 95% of the rectangular area as the actual area, calculate the total area of ​​the monitoring area and get: A = 0.95 × 100 × 50 = 4750 square meters;

[0097] Assuming the obstacle density is 10%, calculate the obstacle area and get: A obstacle =0.10×4750=475 square meters;

[0098] Calculate the effective area that can be used for monitoring and get: A effective =4750-475=4275 square meters;

[0099] Calculate the monitoring area of ​​a single surveillance camera and get: square meters;

[0100] Assuming that the surveillance overlap area is 10% of the area of ​​a single surveillance camera and there are no blind spots that require additional coverage, calculate the minimum number of cameras required and you will get: A overlap =0.10×942.48=94.25 square meters, n min ≈4.95; because the number of cameras must be an integer, it is rounded up to 5.

[0101] In one embodiment of the present invention, step S2 comprises the following steps:

[0102] Combined with the indoor unified coordinate system of step S1, a three-dimensional model of the control points is established through on-site measurement, drawing reference, and laser scanning, and the specific position of each control point in the three-dimensional model is marked with marks, labels, and special colors.

[0103] In one embodiment of the present invention, step S3 includes the following steps:

[0104] According to the complexity of the room, the distribution of control points, and the needs of inter-visibility assessment, the parameters of ray tracing are reasonably set. According to the rays of each control point, the propagation path of light in three-dimensional space is simulated, and the intersection information of rays and objects in the indoor environment is recorded;

[0105] In addition to using the ray casting method to check the visibility of a two-dimensional plane, the ray tracing algorithm is used to simulate the propagation path of light in three-dimensional space, and the visibility between control points can be accurately determined based on the intersection information between the ray and the object.

[0106] In one embodiment of the present invention, the ray tracing algorithm comprises the following steps:

[0107] Use ray tracing technology to check the inter-visibility of the initial control points. Based on the intersection information of the ray and the object, check the inter-visibility of the initial control points and the three-dimensional occlusion relationship of the control points to determine whether there are obstacles blocking the line of sight.

[0108] If a ray successfully reaches other control points and is not blocked, determine the line of sight between the corresponding control points;

[0109] If a ray is completely blocked by an object, it is determined that the corresponding control points have no line of sight, and the control point layout is optimized.

[0110] In one embodiment of the present invention, the optimization of control point layout includes the following steps:

[0111] The control points of the sphere are established based on the spiral distribution of the Fibonacci sequence to ensure that the control points are more evenly distributed on the sphere;

[0112] Determine the division of longitude and latitude of the sphere, with longitude being considered as lines from the North Pole to the South Pole and latitude being considered as circles perpendicular to the longitude; use the spiral distribution of the Fibonacci sequence to generate the division points of longitude and latitude, and the characteristics of the Fibonacci sequence enable the generated points to be evenly distributed on the sphere; calculate the three-dimensional coordinates of the control point based on the division points of longitude and latitude.

[0113] Generate Fibonacci sequence: F1=1, F2=1, F n =F n-1 +F n-2 (n≥3);

[0114] Set each meridian division point θ i and each latitude division point Z ij =R cosθ i ;

[0115] Where R represents the radius of the sphere; (x ij ,y ij , Z ij ) are the three-dimensional coordinates of the control points corresponding to the i-th longitude segmentation point and the j-th latitude segmentation point.

[0116] In one embodiment of the present invention, step S4 comprises the following steps:

[0117] Several light sensors are installed in key areas to monitor the indoor light intensity in real time. The light sensors are linked to the curtain driving equipment for control. Combined with the intelligent lighting control system, the switch and brightness of the lighting equipment are automatically adjusted according to the data of the light sensors, so that the laser scanning system maintains the best lighting conditions when working.

[0118] In one embodiment of the present invention, step S5 comprises the following steps:

[0119] The light sensor monitors the indoor light intensity and calculates the actual indoor light intensity L;

[0120] According to historical data and experience, the upper limit threshold of natural light L is set. max , the lower threshold of natural light L min ;

[0121] If the actual indoor light intensity L>L max , indicating that the natural light is too strong, the curtains are automatically drawn or the sunshade equipment is adjusted to avoid discomfort and energy waste caused by excessive indoor light;

[0122] If the actual indoor light intensity L <L min , indicating that the natural light is too weak, the curtains are automatically opened or the sunshade equipment is adjusted, and the brightness of the artificial lighting needs to be adjusted;

[0123] If L min ≤Actual indoor light intensity L≤L max , indicating that the natural light is appropriate, the curtains and sunshade equipment are kept in good condition, and the lighting brightness is maintained at an appropriate level.

[0124] In one embodiment of the present invention, it is necessary to adjust the brightness of artificial lighting, including the following steps:

[0125] B(L)=B base -K·(LL optimal )

[0126] Among them, B base Indicates basic lighting brightness, K indicates adjustment coefficient, L optimal Indicates the ideal light brightness, and B(L) indicates the brightness of artificial lighting that needs to be adjusted.

[0127] See attached Figure 2 ,The present invention also proposes a fast deployment system of optimized control points in complex indoor scenes, including a monitoring unit dynamic division module, a three-dimensional model construction module, a control point line-of-sight detection module, an indoor light intensity monitoring module, and a light adjustment mode selection module;

[0128] The monitoring unit dynamic division module is used to build a monitoring unit dynamic division model and determine the size and number of monitoring units;

[0129] A 3D model building module is used to build a 3D model of control points and to identify the specific position of each control point in the 3D model by using marks, labels and special colors;

[0130] Control point visibility detection module: ray tracing technology is used to check the visibility of the initial control points. If it is determined that there is no visibility between the corresponding control points, the control point layout is optimized;

[0131] Indoor light intensity monitoring module, using light sensor to monitor indoor light intensity in real time;

[0132] The light adjustment mode selection module is used to set the upper and lower thresholds of natural light, compare the upper and lower thresholds with the indoor light intensity, and select different light adjustment modes.

[0133] The modules described above may be implemented in whole or in part through software, hardware, or a combination thereof, supporting processors embedded in or independent of a computer device in hardware form, and also supporting memories stored in a computer device in software form, so that the processor can call and execute operations corresponding to the modules described above.

[0134] It should be noted that the user information (including but not limited to user device information and personal information, etc.) and data (including but not limited to data used for analysis, stored data and displayed data, etc.) involved in the present invention are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0135] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention is described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for rapidly deploying optimized control points in complex indoor scenes, characterized in that: The following steps are involved: S1. Build a model for dynamic division of monitoring units and determine the size and number of monitoring units; S2, establishing a three-dimensional model of the control points, and marking the specific position of each control point in the three-dimensional model by using marks, labels, or special colors; S3, using ray tracing technology to check the inter-visibility of the initial control points, if it is determined that the corresponding control points are not inter-visible, the control point layout is optimized; S4, using a light sensor to monitor the indoor light intensity in real time; S5. Set the upper and lower thresholds of natural light, compare the upper and lower thresholds with the indoor light intensity, and select different ways to adjust the light to maintain optimal lighting conditions when the laser scanning system is working.

2. According to the method for rapid deployment of optimized control points in complex indoor scenes in claim 1, it is characterized in that: Step S1 includes the following steps: According to the drawings of on-site survey and the data of on-site investigation, the size of the space, the shape and distribution of obstacles, the performance of the camera, the installation angle and height of the camera are collected to build a model for the dynamic division of monitoring units and determine the size and number of monitoring units. In particular, the density and accuracy of monitoring units can be increased in important areas or areas with frequent activities; According to the drawings of on-site survey, a unified indoor coordinate system is established, and the coordinate system is calibrated and updated regularly. A full range of ray tracing simulation is performed for each control point to ensure that the location information of all control points and obstacles is accurate.

3. According to the method for rapid deployment of optimized control points in complex indoor scenes according to claim 2, it is characterized in that: The model of dynamic division of monitoring units includes the following steps: Calculate the total area of ​​the monitoring area to meet the following formula: Where A is the total area of ​​the monitoring area, f(x, y) is a function describing the terrain change, x1 and x2 are the lateral boundaries of the monitoring area, and y1 and y2 are the longitudinal boundaries of the monitoring area; Calculate the area of ​​the obstacle to satisfy the following formula: Among them, A obstacle is the total area occupied by obstacles, n is the number of obstacles, S i is the surface of the ith obstacle, g i (x, y) is a function describing the shape and distribution of the ith obstacle; Calculate the effective area that can be used for monitoring and satisfy the following formula: A effective =A-(A obstacle +A blocked ) Among them, A effective Represents the effective area that can be used for monitoring, A blocked Indicates the area that cannot be monitored due to buildings.

4. According to the method for rapid deployment of optimized control points in complex indoor scenes according to claim 3, it is characterized in that: The model of dynamic division of monitoring units also includes the following steps: Calculate the monitoring area of ​​a single surveillance camera to meet the following formula: Among them, A camera represents the monitoring area of ​​a single camera, R represents the monitoring radius, θ represents the installation angle between the camera and the ground, h represents the installation height of the camera, and H represents the average height of the monitoring area; Calculate the minimum number of cameras required to satisfy the following formula: Among them, n min represents the minimum number of cameras required, A overlap Indicates the area of ​​overlapping monitoring areas of multiple cameras, n blind Indicates the number of additional cameras to cover the blind area.

5. The method for rapidly deploying optimized control points in complex indoor scenes according to claim 1, characterized in that: Step S3 includes the following steps: According to the complexity of the room, the distribution of control points, and the needs of inter-visibility assessment, the parameters of ray tracing are reasonably set. According to the rays of each control point, the propagation path of light in three-dimensional space is simulated, and the intersection information of rays and objects in the indoor environment is recorded; In addition to using the ray casting method to check the visibility of a two-dimensional plane, the ray tracing algorithm is used to simulate the propagation path of light in three-dimensional space, and the visibility between control points can be accurately determined based on the intersection information between the ray and the object.

6. The method for rapidly deploying optimized control points in complex indoor scenes according to claim 5, characterized in that: The ray tracing algorithm includes the following steps: Use ray tracing technology to check the inter-visibility of the initial control points. Based on the intersection information of the ray and the object, check the inter-visibility of the initial control points and the three-dimensional occlusion relationship of the control points to determine whether there are obstacles blocking the line of sight. If a ray successfully reaches other control points and is not blocked, determine the line of sight between the corresponding control points; If a ray is completely blocked by an object, it is determined that the corresponding control points have no line of sight, and the control point layout is optimized.

7. The method for rapidly deploying optimized control points in complex indoor scenes according to claim 6, characterized in that: The optimization of control point layout includes the following steps: Establish the control points of the sphere based on the spiral distribution of the Fibonacci sequence; Determine the division of longitude and latitude of the sphere, with longitude being considered as lines from the North Pole to the South Pole and latitude being considered as circles perpendicular to the longitude; use the spiral distribution of the Fibonacci sequence to generate the division points of longitude and latitude, and the characteristics of the Fibonacci sequence enable the generated points to be evenly distributed on the sphere; calculate the three-dimensional coordinates of the control points based on the division points of longitude and latitude; Generate Fibonacci sequence: F1=1, F2=1, F n =F n-1 +F n-2 (n≥3); Set each meridian division point θ i and each latitude division point y ij Z ij =Rcosθ i ; Where R represents the radius of the sphere; (x ij ,y ij , Z ij ) are the three-dimensional coordinates of the control points corresponding to the i-th longitude segmentation point and the j-th latitude segmentation point.

8. The method for rapidly deploying optimized control points in a complex indoor scene according to claim 1, characterized in that: Step S5 includes the following steps: The light sensor monitors the indoor light intensity and calculates the actual indoor light intensity L; According to historical data and experience, the upper limit threshold of natural light L is set. max , the lower threshold of natural light L min ; If the actual indoor light intensity L>L max , indicating that the natural light is too strong, automatically draw the curtains or adjust the sunshade equipment; If the actual indoor light intensity L<L min , indicating that the natural light is too weak, the curtains are automatically opened or the sunshade equipment is adjusted, and the brightness of the artificial lighting needs to be adjusted; If L min ≤Actual indoor light intensity L≤L max , indicating that the natural light is appropriate and the curtains and sunshade devices are kept in good condition.

9. The method for rapidly deploying optimized control points in a complex indoor scene according to claim 8, characterized in that: The brightness of artificial lighting needs to be adjusted, including the following steps: B(L)=B base -K·(L-L optimal ) Among them, B base Indicates basic lighting brightness, K indicates adjustment coefficient, L optimal Indicates the ideal light brightness, and B(L) indicates the brightness of artificial lighting that needs to be adjusted.

10. A system for rapidly deploying optimized control points in complex indoor scenes, characterized by: It includes monitoring unit dynamic division module, 3D model construction module, control point line of sight detection module, indoor light intensity monitoring module, and light adjustment mode selection module; The monitoring unit dynamic division module is used to build a monitoring unit dynamic division model and determine the size and number of monitoring units; A 3D model building module is used to build a 3D model of control points and to identify the specific position of each control point in the 3D model by using marks, labels and special colors; Control point visibility detection module: ray tracing technology is used to check the visibility of the initial control points. If it is determined that there is no visibility between the corresponding control points, the control point layout is optimized; Indoor light intensity monitoring module, using light sensor to monitor indoor light intensity in real time; The light adjustment mode selection module is used to set the upper and lower thresholds of natural light, compare the upper and lower thresholds with the indoor light intensity, and select different light adjustment modes.

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