LED bulb configuration system based on image recognition

Abstract

The invention belongs to the technical field of LED bulb configuration, and discloses an LED bulb configuration system based on image recognition, which comprises a place distribution image acquisition module, a place monitoring area division module, a place bulb initial configuration module, a correction influence factor analysis module, a bulb configuration correction judgment module, a correction abnormality reason recognition module and a data storage library. According to the method, the monitoring area is dynamically divided based on the distribution image of the target place so as to achieve the optimal arrangement number and position of the bulbs, and the analysis mode can optimize the illumination effect, realize uniform illumination and improve the visual comfort. According to the method, analysis is carried out based on layout irregularity, article layout deviation and light reflection abnormity during bulb power correction analysis, spatial characteristics can be accurately adapted, layout and article layout conditions can be handled, the light utilization effect is optimized, reflection abnormity is solved, the visual comfort degree is improved, energy-saving and efficient illumination can be achieved, and the method is suitable for popularization and application. And illumination is optimized and energy is saved.

Description

Technical Field

[0001] The present invention belongs to the technical field of LED bulb configuration, and relates to an LED bulb configuration system based on image recognition. Background Technique

[0002] An LED bulb, that is, a light-emitting diode bulb, is a lighting device that uses semiconductor materials to emit light after being powered on. Reasonable configuration of the power and installation position of LED bulbs can meet the lighting needs of different spaces and activities, create a comfortable visual environment, achieve energy conservation and environmental protection, extend the bulb life, improve space utilization and aesthetics. Therefore, the research on LED bulb configuration based on image recognition has important significance.

[0003] The analysis of traditional LED bulb configuration usually only designs the selection of the configuration position and power of LED bulbs based on simple site parameters, ignoring the dynamic regulation of the position and quantity of LED bulbs. On the one hand, this analysis method is difficult to consider factors such as complex occlusion situations and reflection differences that may exist in the space, which may lead to the inability to achieve a uniform lighting effect. On the other hand, in certain periods or certain areas, high-intensity lighting may not be required, but due to the lack of dynamic regulation, the bulbs always work at a fixed power, resulting in unnecessary energy waste. Summary of the Invention

[0004] In view of this, to solve the problems raised in the above background technique, an LED bulb configuration system based on image recognition is proposed.

[0005] The object of the present invention can be achieved by the following technical solutions: An LED bulb configuration system based on image recognition, including: a site distribution image acquisition module, which is used to collect the distribution image of the target site by using a high-definition camera, and then use image processing software to identify the monitoring area of the target site.

[0006] A site monitoring area division module, which is used to divide the monitoring areas of the target site based on the distribution image of the target site to obtain several monitoring areas.

[0007] A site bulb initial configuration module, which is used to select the bulb power for each monitoring area based on the pre-set bulb power selection rule to obtain the initial bulb configuration power of each monitoring area, and confirm the bulb layout position of each monitoring area.

[0008] A correction influencing factor analysis module, which is used to analyze the correction influencing factors of each monitoring area, specifically including layout irregularity, item layout deviation, and light reflection abnormality.

[0009] The bulb configuration correction judgment module is used to judge whether the bulb configuration of each monitoring area needs to be corrected based on the layout irregularity, item layout deviation, and light reflection abnormality of each monitoring area. If it is necessary, it will perform bulb configuration correction analysis and mark the corresponding monitoring area as the monitoring area to be corrected. Otherwise, it will not perform bulb configuration correction analysis.

[0010] The correction anomaly cause identification module is used to identify specific correction anomaly causes based on the layout irregularity, item layout deviation, and light reflection abnormality of each monitoring area to be corrected, specifically including site layout anomaly, item layout anomaly, and light reflection anomaly.

[0011] The data repository is used to save the corresponding relationship between the reference area and power.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention dynamically divides the monitoring area based on the distribution image of the target site to achieve the optimal number and position of bulb placement. This analysis method can optimize the lighting effect, achieve uniform lighting, and improve visual comfort. It can efficiently utilize energy, accurately configure lighting power, and adaptively save energy. It has strong flexibility and adaptability, can adapt to spatial changes and meet personalized needs. And it has a high degree of intelligence and automation.

[0013] (2) When the present invention performs bulb power correction analysis, it analyzes based on layout irregularity, item layout deviation, and light reflection abnormality. This analysis method can accurately adapt to the spatial characteristics, cope with the layout and item layout conditions, optimize the light utilization effect, solve the reflection abnormality, and improve visual comfort. It can also achieve energy-saving and efficient lighting, avoid over-illumination and under-illumination, fully adapt to the actual situation of the site, and optimize lighting and save energy.

[0014] (3) After the present invention judges and analyzes the need for bulb power correction, it further identifies specific correction anomaly causes. This analysis method can accurately locate the root cause of the problem, achieve efficient and accurate adjustment of lighting, improve the adaptability and reliability of the system to complex environments, and is also convenient for subsequent optimization and maintenance, thereby greatly improving the overall performance of the lighting system. Brief Description of the Drawings

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0016] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0017] Figure 2Schematic diagram of the method steps for performing monitoring area division provided by the present invention.

[0018] Figure 3 Judgment flowchart corresponding to an embodiment of correcting abnormal cause identification provided by the present invention. Detailed implementation manners

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0020] Please refer to Figure 1 As shown, the present invention provides an LED bulb configuration system based on image recognition, including a venue distribution image acquisition module, a venue monitoring area division module, a venue bulb initial configuration module, a correction influencing factor analysis module, a bulb configuration correction judgment module, a correction abnormal cause identification module, and a data repository. Among them, the venue distribution image acquisition module is connected to the venue monitoring area division module, the venue monitoring area division module is connected to the venue bulb initial configuration module, the venue bulb initial configuration module is connected to the correction influencing factor analysis module, the correction influencing factor analysis module is connected to the bulb configuration correction judgment module, the bulb configuration correction judgment module is connected to the correction abnormal cause identification module, and the data repository is connected to the venue bulb initial configuration module.

[0021] The venue distribution image acquisition module is used to collect the distribution image of the target venue by using a high-definition camera, and then use image processing software to identify the monitoring area of the target venue.

[0022] The venue monitoring area division module is used to divide the monitoring area of the target venue based on the distribution image of the target venue to obtain a number of monitoring areas.

[0023] In a preferred embodiment of the present invention, the monitoring area division includes a monitoring area division requirement judgment, and the specific method is as follows: extract the monitoring area of the target venue, and then compare it with the pre-set reference venue area to obtain the monitoring area redundancy of the target venue.

[0024] It should be added that the specific method for obtaining the monitoring area redundancy of the target venue is as follows: calculate the difference between the monitoring area of the target venue and the pre-set reference venue area to obtain the monitoring area surplus of the target venue, and then calculate the ratio with the reference venue area to obtain the monitoring area redundancy of the target venue.

[0025] Compare the monitoring area redundancy of the target site with the preset monitoring area redundancy threshold to determine whether monitoring area division is required. If the monitoring area redundancy of the target site is greater than the monitoring area redundancy threshold, it is determined that monitoring area division is required; otherwise, it is determined that monitoring area division is not required.

[0026] It should be noted that the reason for determining whether monitoring area division is required is as follows: If the monitoring area of the target site is large, multiple LED bulbs may be required for lighting work; conversely, if the monitoring area of the target site is small, only one LED bulb may be required for lighting work.

[0027] Exemplarily, the monitoring area redundancy threshold is .

[0028] In a preferred embodiment of the present invention, please refer to Figure 2 As shown, the implementation of monitoring area division further includes performing monitoring area division, and the specific method is as follows: A1. Extract the distribution image of the target site, and then obtain the side lengths of each monitoring peripheral line segment corresponding to the target site, and then compare and select the monitoring peripheral line segment with the largest side length and record it as the reference line segment.

[0029] A2. Obtain the center point of the reference line segment, and then construct a dividing line perpendicular to the reference line segment with this point as the starting point to perform the first monitoring area division on the target site to obtain each monitoring area, and obtain the area of each monitoring area.

[0030] A3. Based on the area of each monitoring area, determine whether further monitoring area division needs to be performed. If so, repeat steps A1 and A2 until it is determined that no further monitoring area division needs to be performed, and then divide the target site into several monitoring areas.

[0031] It should be noted that the present invention dynamically divides the monitoring area based on the distribution image of the target site to achieve the optimal number and position of bulb placement. This analysis method can optimize the lighting effect, achieve uniform lighting, and improve visual comfort. It can efficiently utilize energy, accurately configure lighting power, and adaptively save energy. It has strong flexibility and adaptability, can adapt to spatial changes and meet personalized needs. And it has a high degree of intelligence and automation.

[0032] The site bulb initial configuration module is used to select the bulb power for each monitoring area based on the preset bulb power selection rule to obtain the initial bulb configuration power for each monitoring area, and confirm the bulb layout position for each monitoring area.

[0033] It should be explained that the relationship between the monitored area of the target site and the power of the light bulb: Generally, there is a direct proportional relationship between the monitored area of the target site and the power of the light bulb. This is because, under the same other conditions (such as lighting requirements, reflectivity, etc.), the larger the area, the wider the space range that needs to be illuminated. In order to achieve the same illuminance standard, a higher luminous flux is required, which means a light bulb with a larger power is needed.

[0034] Exemplarily, taking a site with an area of and a height of as an example, the required LED light bulbs can be pieces .

[0035] In a preferred embodiment of the present invention, the specific method for obtaining the initial bulb configuration power of each monitoring area is as follows: Obtain the monitored area of each monitoring area, and extract the corresponding relationship between the reference area and power saved in the data repository. Compare the monitored area pre-taken for each monitoring area with each reference area, analyze the area compliance index corresponding to each monitoring area and each reference area, and then select the reference area corresponding to the largest area compliance index as the reference area corresponding to each monitoring area.

[0036] Match each reference area with the corresponding relationship between the reference area and power saved in the repository to obtain the initial bulb configuration power of each monitoring area.

[0037] In a preferred embodiment of the present invention, the specific method for confirming the bulb layout position of each monitoring area is as follows: Obtain the two-dimensional plane image of each monitoring area, and then locate the center point of the two-dimensional plane of each monitoring area, and record the center point of each monitoring area as the bulb layout position corresponding to each monitoring area.

[0038] It should be noted that the reason for recording the center point of each monitoring area as the bulb layout position corresponding to each monitoring area is as follows: 1. Placing the bulb at the center point of the monitoring area, in an ideal state, the light can spread evenly in all directions. According to the principle of light propagation, the light emitted by a point light source spreads out in a spherical shape. Taking the center point as the bulb position can make the propagation distance of the light in all directions within the area relatively balanced, thus making it easier to achieve uniform distribution of light in the entire monitoring area. 2. Placing the bulb at the center of the monitoring area helps to reduce the energy loss of the light during the propagation process. When the bulb is located at the center, the light can reach each part of the area along a shorter path, reducing the loss of light during processes such as reflection and refraction compared to being placed at the edge position.

[0039] The correction factor analysis module is used to analyze the correction factors of each monitoring area, specifically including layout irregularity, item layout deviation, and light reflection abnormality.

[0040] It should be noted that the reasons for selecting layout irregularity, item layout deviation, and light reflection abnormality as the influencing factors for analyzing the influencing factors for correction in each monitoring area are as follows: 1. The reason for layout irregularity as an influencing factor: The target venues in reality often have various shapes and are rarely completely regular geometric shapes. Layout irregularity is a key factor because it directly affects the propagation path of light in space. 2. The reason for item layout deviation as an influencing factor: Different users have different item placement habits and aesthetic needs, which results in personalized item layouts in each venue. Considering item layout deviation can make the lighting system more flexible and capable of adapting to various actual layout situations. 3. The reason for light reflection abnormality as an influencing factor: The materials and colors of the surfaces such as walls and floors in the target venue vary, which leads to significant differences in light reflection characteristics. Light reflection abnormality is a key factor because it directly determines the secondary distribution of light in space.

[0041] In a preferred embodiment of the present invention, the analysis of the layout irregularity requires constructing a layout irregularity index for each monitoring area, and the specific analysis process is as follows: Extract the distribution images corresponding to each monitoring area of the target venue, and obtain the monitoring area, monitoring perimeter, and number of included angles of each monitoring area, which are respectively denoted as 、 、 , where represents the number of the monitoring area, , represents the number of monitoring areas in the target venue.

[0042] Using the formula Analyze to obtain the layout irregularity index of each monitoring area, where represents the preset reference number of included angles.

[0043] It should be noted that the reasons for selecting the monitored area, monitored perimeter, and number of included angles as the influencing factors for the layout irregularity index of each monitoring area are as follows: 1. The monitored area is a most basic spatial scale description index. The area size is directly related to the scope and difficulty of lighting coverage. For regions with regular shapes (such as squares or circles), there are clear geometric relationships between the area and the side length or radius, and the lighting layout is relatively easy to plan. However, when the areas are the same but the shapes are irregular, the path of light propagation and the difficulty of uniform distribution will change. 2. The monitored perimeter reflects the length and complexity of the regional boundary. For regular shapes, there is a fixed mathematical relationship between the perimeter and the area. For example, the perimeter of a square is four times the side length. But in irregular shapes, the perimeter may become longer due to the concavity and convexity changes of the boundary. A longer and more complex perimeter means that the reflection and propagation of light at the boundary are more complex. 3. The number of included angles is an intuitive factor characterizing whether the regional shape is regular. The number and angles of included angles of regular shapes (such as rectangles) are fixed, while irregular shapes often have more included angles.

[0044] Exemplarily, referring to the number of included angles .

[0045] In a preferred embodiment of the present invention, for the deviation of item layout in each monitoring area, an item layout deviation index for each monitoring area needs to be constructed, and the specific analysis process is as follows: Use a scanning device to obtain the three-dimensional scanning data of each monitoring area, and then obtain the number of items, the height of monitored items, and the volume of monitored items in each monitoring area, which are respectively denoted as , , .

[0046] It should be noted that the reasons for selecting the number of items, the height of monitored items, and the volume of monitored items in each monitoring area as the influencing factors for the item layout deviation index of each monitoring area are as follows: 1. The number of items in the monitoring area is the most intuitive factor affecting light propagation. The more items there are, the more occlusion areas may be generated. When light propagates, it will be blocked by items, thus forming shadows. 2. The volume of an item comprehensively considers the size of the item in three-dimensional space. The larger the volume, the larger the occlusion range and reflection area of the light. A large object, such as a large mechanical device or a large piece of furniture, will block light in multiple directions and also reflect light over a larger area. 3. The height of an item directly determines the degree of change in the light propagation path. Higher items will block and reflect light over a larger range. At the same time, higher items will also change the reflection angle of light, resulting in changes in the distribution of reflected light in space, which may cause glare or make the reflected light in some areas too strong.

[0047] Use the formula to analyze and obtain the item layout deviation index of each monitoring area , represents the pre-set number of reference items, represents the pre-set height of reference items, represents the pre-set volume of reference items, respectively represent the weight factors corresponding to the pre-set number of items, the height of monitored items, and the volume of monitored items.

[0048] Exemplarily, .

[0049] It should be noted that when analyzing the layout deviation index of items in each monitoring area, the setting basis of the weight factors corresponding to the number of items, the height of monitored items, and the volume of monitored items is as follows: The setting basis of the weight factor for the number of items lies in that it determines the light occlusion frequency and range. The more items there are, the wider the occlusion is, and the greater the impact on the lighting uniformity. Moreover, a large number of items greatly increases the difficulty of adjusting the lighting layout. Therefore, a higher weight needs to be given to highlight the key role. The setting of the weight factor for the height of monitored items stems from its key influence on the light propagation path. Tall items significantly change the light direction, causing large-area occlusion, abnormal reflection, and also giving rise to the need for vertical lighting, affecting the lighting effect on both sides. The weight should be reasonably matched with its influence. The setting of the weight factor for the volume of monitored items is because it comprehensively reflects the three-dimensional size of items. The larger the volume, the larger the occlusion and reflection range, which not only interferes with the lighting around itself but also impacts the overall regional light distribution. It is also related to space utilization and lighting balance. Based on this, an appropriate weight needs to be set to accurately consider its role in the layout deviation index of items.

[0050] In a preferred embodiment of the present invention, the analysis of the light reflection abnormality requires constructing the light reflection abnormality index for each monitoring area. The specific method is as follows: Use a light detection device to obtain the wall light refractive index, ground light refractive index, wall area, and ground area of each monitoring area, which are respectively denoted as , , , .

[0051] Use the formula to analyze and obtain the light reflection abnormality index for each monitoring area, where represents the pre-set reference refractive index, represents the pre-set reference area, respectively represent the weight factors corresponding to the wall light refractive index and the ground light refractive index, represents the natural constant.

[0052] Exemplarily, .

[0053] It should be noted that when analyzing the light reflection abnormality index of each monitoring area, the basis for setting the weight factors corresponding to the wall light refractive index and the ground light refractive index is as follows: As the main reflection interfaces in the space, the wall and the ground directly determine the light reflection, refraction, and the change of the propagation path, which in turn has a significant impact on the overall lighting effect and the uniformity of light distribution. Moreover, due to the refractive index differences caused by factors such as materials and colors in different places, their reflection characteristics are different, and the effects on lighting are also different. Therefore, it is necessary to reasonably set the weight factors according to their importance in influencing lighting and the actual effects produced to accurately measure the light reflection abnormality index.

[0054] It should be noted that when analyzing the bulb power correction of the present invention, it is analyzed based on layout irregularity, item layout deviation, and light reflection abnormality. This analysis method can accurately adapt to the characteristics of the space, cope with the layout and item layout conditions, optimize the light utilization effect, solve the reflection abnormality and improve the visual comfort, and can also achieve energy-saving and efficient lighting, avoid excessive and insufficient lighting, fully adapt to the actual situation of the place, optimize lighting and save energy.

[0055] The bulb configuration correction judgment module is used to judge whether each monitoring area needs to perform bulb configuration correction based on the layout irregularity, item layout deviation, and light reflection abnormality of each monitoring area. If so, it executes the bulb configuration correction analysis and records the corresponding monitoring area as the monitoring area to be corrected. Otherwise, it does not need to execute the bulb configuration correction analysis.

[0056] In a preferred embodiment of the present invention, the specific analysis of judging whether each monitoring area needs to perform bulb configuration correction is as follows: Extract the layout irregularity index, item layout deviation index, and light reflection abnormality index of each monitoring area of the target place, and then calculate the sum according to the weights to obtain the comprehensive demand correction index of each monitoring area.

[0057] Exemplarily, the weights corresponding to the layout irregularity index, item layout deviation index, and light reflection abnormality index of each monitoring area of the target place are .

[0058] It should be noted that the basis for setting the weights corresponding to the layout irregularity index, item layout deviation index, and light reflection abnormality index in each monitoring area of the target venue is as follows: 1. The weight setting of the layout irregularity index depends on the degree of influence of the spatial form on the complexity of light propagation. An irregular layout causes the light direction to change frequently and lighting dead corners to appear frequently. 2. The basis for the weight of the item layout deviation index lies in the actual interference intensity of the items on light occlusion and reflection. When the number of items is large, the volume is large, and the height is prominent, shadows are likely to occur and abnormal reflections are frequent, seriously damaging the lighting effect. 3. The weight setting of the light reflection abnormality index originates from the reshaping effect of the refractive index difference caused by different surface materials on the lighting effect. The light reflection characteristics of the wall and the ground are different. Specular reflection is likely to cause glare, and diffuse reflection is related to the overall brightness. When pursuing a high-quality lighting environment, the disorder of light distribution caused by abnormal refractive index cannot be underestimated. It is necessary to reasonably allocate weights based on this and comprehensively and accurately control the lighting state, so that the weights can accurately reflect the key degree of each factor in the lighting scene.

[0059] Compare the comprehensive demand correction index of each monitoring area with the comprehensive demand correction index threshold respectively. If the comprehensive demand correction index of a certain monitoring area is greater than the comprehensive demand correction index threshold, it is determined that the light bulb configuration of this monitoring area needs to be corrected. Otherwise, it is determined that the light bulb configuration of this monitoring area does not need to be corrected.

[0060] Exemplarily, the comprehensive demand correction index threshold is 。

[0061] The correction anomaly cause identification module is used to identify specific correction anomaly causes based on the layout irregularity, item layout deviation, and light reflection abnormality of each monitoring area to be corrected, specifically including venue layout anomaly, item layout anomaly, and light reflection anomaly.

[0062] In a preferred embodiment of the present invention, please refer to Figure 3 As shown, the method for identifying specific correction anomaly causes is as follows: Extract the layout irregularity index, item layout deviation index, and light reflection abnormality index of each monitoring area, and then compare them with the pre-set layout irregularity index threshold, item layout deviation index threshold, and light reflection abnormality index threshold respectively.

[0063] If the layout irregularity index of a certain monitoring area is greater than the layout irregularity index threshold, it is determined that the specific correction anomaly cause of this monitoring area is venue layout anomaly.

[0064] If the item layout deviation index of a certain monitoring area is greater than the item layout deviation index threshold, it is determined that the specific correction anomaly cause of this monitoring area is item layout anomaly.

[0065] If the light reflection abnormality index of a certain monitoring area is greater than the light reflection abnormality index threshold, it is determined that the specific reason for the correction abnormality in the monitoring area is light reflection abnormality.

[0066] It should be noted that the specific reason for the correction abnormality can be one or more of the following: site layout abnormality, item layout abnormality, and light reflection abnormality.

[0067] It should be explained that after the judgment and analysis of the bulb power correction requirement, the present invention further identifies the specific reason for the correction abnormality. This analysis method can accurately locate the root cause of the problem, achieve efficient and accurate adjustment of lighting, improve the adaptability and reliability of the system to complex environments, and also facilitate subsequent optimization and maintenance, thus greatly improving the overall performance of the lighting system.

[0068] The data repository is used to store the correspondence between the reference area and the power.

[0069] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should fall within the protection scope of the present invention.

Claims

1. An LED bulb configuration system based on image recognition, characterized in that, Including: A venue distribution image acquisition module, which is used to collect the distribution image of the target venue by using a high-definition camera, and then use image processing software to identify the monitoring area of the target venue; A venue monitoring area division module, which is used to divide the monitoring area of the target venue based on the distribution image of the target venue to obtain several monitoring areas; A venue bulb initial configuration module, which is used to select the bulb power for each monitoring area based on the pre-set bulb power selection rule to obtain the initial bulb configuration power of each monitoring area, and confirm the bulb layout position of each monitoring area; A correction influencing factor analysis module, which is used to analyze the correction influencing factors of each monitoring area, specifically including layout irregularity, item layout deviation, and light reflection abnormality; A bulb configuration correction judgment module, which is used to judge whether each monitoring area needs to be corrected for bulb configuration based on the layout irregularity, item layout deviation, and light reflection abnormality of each monitoring area. If it is necessary, perform bulb configuration correction analysis and mark the corresponding monitoring area as a monitoring area to be corrected. Otherwise, do not perform bulb configuration correction analysis; A correction anomaly cause identification module, which is used to identify the specific correction anomaly causes based on the layout irregularity, item layout deviation, and light reflection abnormality of each monitoring area to be corrected, specifically including venue layout anomaly, item layout anomaly, and light reflection anomaly; A data repository, which is used to save the correspondence between the reference area and the power; 2. The LED bulb configuration system based on image recognition according to claim 1, characterized in that: The said monitoring area division includes the judgment of the monitoring area division requirement, and the specific method is as follows: Extract the monitoring area of the target venue, and then compare it with the pre-set reference venue area to obtain the monitoring area redundancy of the target venue; Compare the monitoring area redundancy of the target venue with the pre-set monitoring area redundancy threshold to judge whether it is necessary to divide the monitoring area. If the monitoring area redundancy of the target venue is greater than the monitoring area redundancy threshold, judge that it is necessary to divide the monitoring area. Otherwise, judge that it is not necessary to divide the monitoring area.

3. The LED bulb configuration system based on image recognition according to claim 2, wherein: The said monitoring area division also includes the execution of the monitoring area division, and the specific method is as follows: A1. Extract the distribution image of the target venue, then obtain the side lengths of each monitoring perimeter line segment corresponding to the target venue, and then compare and select the monitoring perimeter line segment with the largest side length and mark it as the reference line segment; A2. Obtain the center point of the reference line segment, and then construct a dividing line in the direction perpendicular to the reference line segment with this point as the starting point to perform the first monitoring area division of the target venue to obtain each monitoring area, and obtain the area of each monitoring area; A3. Judge whether it is necessary to further execute the monitoring area division based on the area of each monitoring area. If it is necessary, repeat steps A1 and A2 until it is judged that there is no need to execute the monitoring area division, and then divide the target venue into several monitoring areas.

4. The LED bulb configuration system based on image recognition according to claim 1, characterized in that: The specific method for obtaining the initial bulb configuration power of each monitoring area is as follows: Obtain the monitoring areas of each monitoring region, extract the correspondence between the reference area and power saved in the data repository, compare the pre-fetched monitoring areas of each monitoring region with each reference area, analyze the area compliance index corresponding to each monitoring region and each reference area, and then select the reference area corresponding to the maximum area compliance index as the reference area for each monitoring region; Match each reference area with the correspondence between the reference area and power saved in the repository to obtain the initial bulb configuration power for each monitoring region.

5. The LED bulb configuration system based on image recognition according to claim 1, wherein: The specific method for confirming the bulb layout positions in each monitoring region is as follows: Obtain the two-dimensional plane images of each monitoring region, and then locate the center points of the two-dimensional planes of each monitoring region. Denote the center points of each monitoring region as the bulb layout positions corresponding to each monitoring region.

6. The LED bulb configuration system based on image recognition according to claim 5, wherein: The analysis of the layout irregularity requires constructing the layout irregularity index for each monitoring region, and the specific analysis process is as follows: Extract the distribution images corresponding to each monitoring area of the target site, and obtain the monitoring area, monitoring perimeter, and number of included angles of each monitoring area, which are respectively denoted as , , , where represents the number of the monitoring area, , represents the number of monitoring areas of the target site; Using the formula analyze and obtain the layout irregularity index of each monitoring area , where represents the number of pre-set reference included angles.

7. The LED bulb configuration system based on image recognition according to claim 6, characterized in that: The analysis of the item layout deviation requires constructing the item layout deviation index for each monitoring region, and the specific analysis process is as follows: Use a scanning device to obtain the three-dimensional scanning data of each monitoring area, and then obtain the number of items, the height of the monitored items, and the volume of the monitored items in each monitoring area, which are respectively recorded as , , ; Using the formula Analyze and obtain the item layout deviation index of each monitoring area , represents the pre-set reference item quantity, represents the pre-set reference item height, represents the pre-set reference item volume, respectively represent the weight factors corresponding to the pre-set item quantity, monitored item height, and monitored item volume.

8. The LED bulb configuration system based on image recognition according to claim 7, wherein: The analysis of the light reflection abnormality requires constructing the light reflection abnormality index for each monitoring region, and the specific method is as follows: Use a light detection device to obtain the wall light refractive index, floor light refractive index, wall area, and floor area of each monitoring area, denoted as , , , ; Using the formula Analyze and obtain the light reflection abnormality index of each monitoring area , where Represents the pre-set reference refractive index Represents the pre-set reference area Respectively represent the weight factors corresponding to the wall light refractive index and the ground light refractive index Represents the natural constant 9. The LED bulb configuration system based on image recognition according to claim 8, characterized in that: The specific analysis for determining whether bulb configuration correction is required for each monitoring region is as follows: Extract the layout irregularity index, item layout deviation index, and light reflection abnormality index of each monitoring region in the target site, and then perform a weighted summation calculation to obtain the comprehensive demand correction index for each monitoring region; Compare the comprehensive demand correction index of each monitoring region with the comprehensive demand correction index threshold respectively. If the comprehensive demand correction index of a certain monitoring region is greater than the comprehensive demand correction index threshold, it is determined that the bulb configuration of this monitoring region needs to be corrected. Otherwise, it is determined that the bulb configuration of this monitoring region does not need to be corrected.

10. The LED bulb configuration system based on image recognition according to claim 8, wherein: The method for identifying the specific correction abnormality reasons is as follows: Extract the layout irregularity index, item layout deviation index, and light reflection abnormality index of each monitoring region, and then compare them with the pre-set layout irregularity index threshold, item layout deviation index threshold, and light reflection abnormality index threshold respectively; If the layout irregularity index of a certain monitoring region is greater than the layout irregularity index threshold, it is determined that the specific correction abnormality reason for this monitoring region is the site layout abnormality; If the item layout deviation index of a certain monitoring region is greater than the item layout deviation index threshold, it is determined that the specific correction abnormality reason for this monitoring region is the item layout abnormality; If the light reflection abnormality index of a certain monitoring region is greater than the light reflection abnormality index threshold, it is determined that the specific correction abnormality reason for this monitoring region is the light reflection abnormality.

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