An optimization design method and system for a distributed photovoltaic system on the roof of a spray-paint hangar

Abstract

The present invention discloses an optimization design method and system for a distributed photovoltaic system on a roof of a spray painting hangar, and relates to the technical field of photovoltaic systems. The present invention establishes a spatial virtual model of a roof system based on size data and steel structure load-bearing analysis data, delineates a photovoltaic panel bearing area based on the spatial virtual model, delineates a photovoltaic panel distribution area within the photovoltaic panel bearing area, marks n photovoltaic panel virtual components one by one within the photovoltaic panel distribution area, calculates an optimal inclination angle of the photovoltaic panel according to historical irradiation data, adjusts the positions of the photovoltaic panel virtual components within the photovoltaic panel distribution area one by one according to the optimal inclination angle, obtains an optimized distributed photovoltaic system plane design drawing, and then recalculates the bearing coefficient of the roof system according to the photovoltaic panel virtual components, obtains the optimized distributed photovoltaic system plane design drawing as the best design drawing, maximizes the expansion of the distribution area of ​​the photovoltaic panel under the load-bearing restriction based on the roof system, and simultaneously ensures the light conversion rate of the photovoltaic panel.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic systems, and in particular to an optimization design method and system for a distributed photovoltaic system on a roof of a spray painting hangar. Background Art

[0002] Aircraft hangar is a general term for hangars and aircraft maintenance hangars, including aircraft parking and maintenance areas and adjacent production auxiliary buildings. Aircraft parking and maintenance areas are usually equipped with suspended docks (such as nose docks, fuselage docks, and tail docks) and ground docks to meet different aircraft maintenance requirements; production auxiliary buildings include office buildings, maintenance workshops, aviation material warehouses, aircraft parts painting rooms, aircraft seat maintenance rooms, power distribution rooms, and power stations, etc., which are built in different fire protection zones from aircraft parking and maintenance areas.

[0003] The painting hangar is the most critical link before the delivery of the aircraft, in which the appearance logo of each airline is sprayed. The hangar layout and height requirements are relatively special, which directly affects the structural form of the hangar. Due to the large span of the hangar, the deadweight of the structure, especially the proportion of the roof system in the total load, is also large. Therefore, it is common to use steel structure as the roof load-bearing system in large-span structures. Specific space structures such as shell structure, grid structure, and cable structure have been widely used as roof systems for large-span buildings;

[0004] The roof system of the spray paint hangar is large and vacant, so in the roof design, photovoltaic power generation components can be combined with the layer and truss structure. However, due to the load-bearing limit and power generation efficiency, it is difficult to achieve an efficient combination of photovoltaic and solar thermal in the existing technology, and it is impossible to achieve the effect of energy saving and environmental protection.

[0005] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0006] The purpose of the present invention is to maximize the distribution area of ​​photovoltaic panels under the load-bearing limit of the roof system and at the same time ensure the light conversion of the photovoltaic panels.

[0007] In order to achieve the above object, the present invention adopts the following technical solution: a method for optimizing the design of a distributed photovoltaic system on the roof of a spray painting hangar, comprising the following steps:

[0008] Step 1: Obtain the dimension data of the aircraft hangar roof system and the steel structure load-bearing analysis data, establish a spatial virtual model of the roof system based on the dimension data and the steel structure load-bearing analysis data, and define the photovoltaic panel bearing area based on the spatial virtual model;

[0009] Step 2: Obtain the number n of photovoltaic panels in the distributed photovoltaic system, the plane area data of each photovoltaic panel, and the weight data of each photovoltaic panel, calculate the pressure coefficient of the photovoltaic panel on the roof system based on the photovoltaic panel size and photovoltaic panel weight data, and delineate the photovoltaic panel distribution area within the photovoltaic panel bearing area according to the preset pressure judgment threshold;

[0010] Step 3: Create a photovoltaic panel virtual component according to the size of the photovoltaic panel in the distributed photovoltaic system, mark the n photovoltaic panel virtual components one by one in the photovoltaic panel distribution area, and obtain a distributed photovoltaic system plan design diagram;

[0011] Step 4: Obtain the geographic coordinates of the area where the aircraft hangar roof system is located, obtain the historical irradiation data of the location of the aircraft hangar roof system in the meteorological database according to the geographic coordinates, and calculate the optimal inclination angle of the photovoltaic panel according to the historical irradiation data;

[0012] Step 5: Obtain the minimum tilt angle when installing the photovoltaic panels in the distributed photovoltaic system, calculate the optimal tilt angle in combination with the irradiation coefficient, and obtain the angle adjustment parameter according to the difference between the optimal tilt angle and the minimum tilt angle;

[0013] Step 6: Adjust the positions of the photovoltaic panel virtual components within the photovoltaic panel distribution area one by one according to the angle adjustment parameters to obtain the optimized distributed photovoltaic system plane design drawing, and then calculate the load-bearing coefficient of the roof system according to the photovoltaic panel virtual components in the optimized distributed photovoltaic system plane design drawing, and determine the load-bearing coefficient according to the preset load-bearing threshold;

[0014] If the load-bearing coefficient is less than or equal to the load-bearing threshold, the optimized distributed photovoltaic system plan design drawing is the best design drawing;

[0015] If the load-bearing coefficient is greater than the load-bearing threshold, the optimized distributed photovoltaic system plan design is not the best design, and return to step 4 to recalculate the optimal inclination angle.

[0016] Furthermore, the specific process of defining the photovoltaic panel bearing area is as follows:

[0017] S101, performing on-site surveying and scanning of the aircraft hangar roof system to obtain dimension data of the aircraft hangar roof system, and processing the dimension data to form a three-dimensional point cloud model of the roof system;

[0018] S102, collecting and processing panoramic image data of the aircraft hangar roof system to generate panoramic photo data,

[0019] S103, extracting materials corresponding to various structural dimensions of the aircraft hangar roof system from the panoramic photo data, and finding out the load-bearing coefficients thereof from a network database according to the material properties, and then calculating the steel structure load-bearing coefficients of the hangar roof system according to the load-bearing coefficients, matching and fusing the steel structure load-bearing coefficients with the three-dimensional point cloud model of the roof system to form a high-precision spatial virtual model;

[0020] S104. Delineate the top area of ​​the roof system based on the high-precision spatial virtual model, and grid the top area. According to a preset load-bearing threshold, mark the grid area that exceeds the load-bearing threshold as the photovoltaic panel bearing area, and obtain the roof system bearing plan.

[0021] Furthermore, the specific process of calculating the steel structure bearing coefficient is as follows:

[0022] S201. Taking each steel structure module in the roof system as a unit, obtaining materials corresponding to each structural dimension in the steel structure module, and finding out its bearing coefficient from a network database according to the material properties, wherein the bearing coefficient includes the composite stress of the transverse and longitudinal directions of the material and the span and width of the steel structure module;

[0023] S202. Calculate the steel structure bearing coefficient of the steel structure module according to the following formula , where σx is the transverse composite stress of the steel structure module, σy is the longitudinal composite stress of the steel structure module, a is the span of the steel structure module, and b is the width of the steel structure module.

[0024] Furthermore, the specific process of demarcating the photovoltaic panel distribution area is as follows:

[0025] S301, obtaining a roof system bearing plane diagram, and dividing the photovoltaic panel bearing area in the roof system bearing plane diagram into large blocks to obtain a pressure coefficient δi of each photovoltaic panel bearing area;

[0026] S302, obtaining the plane area data S of each photovoltaic panel and the weight data M of each photovoltaic panel in the distributed photovoltaic system;

[0027] S303, calculate the pressure coefficient of the photovoltaic panel on each photovoltaic panel bearing area according to the following formula , where e1 and e2 are preset proportional coefficients, and the pressure coefficient Pi is used to reflect the degree of influence of each photovoltaic panel on the pressure bearing capacity of the roof system plane. The larger the pressure coefficient Pi is, the greater the influence of the photovoltaic panel on the pressure bearing capacity of the roof system plane is. On the contrary, the smaller the pressure coefficient Pi is, the smaller the influence of the photovoltaic panel on the pressure bearing capacity of the roof system plane is.

[0028] S304 . According to a preset pressure judgment threshold, the photovoltaic panel bearing area whose pressure coefficient is greater than the pressure judgment threshold is marked as a photovoltaic panel distribution area, and a photovoltaic panel distribution plane map is obtained.

[0029] Furthermore, the specific process of calculating the optimal tilt angle of the photovoltaic panel is as follows:

[0030] S401, obtaining historical irradiation data of the location of the aircraft hangar roof system, wherein the historical irradiation data includes total irradiation HT, direct irradiation HbT and scattered irradiation HdT. It can be known that the total irradiation HT is the sum of the direct irradiation HbT and the scattered irradiation HdT;

[0031] S402, calculating the maximum inclination angle β of the photovoltaic panel according to the following formula: ,in is the local latitude, β is the optimal tilt angle of the photovoltaic panel, δ is the solar declination angle, ωs is the sunset angle on the horizontal plane, and ωst is the sunset angle on the inclined plane;

[0032] S403, obtaining the pressure coefficient Pi of the photovoltaic panel on each photovoltaic panel bearing area, and calculating the optimal inclination angle of the photovoltaic panel , where e3 is the preset proportional coefficient.

[0033] Furthermore, the specific process of calculating the load-bearing coefficient of the roof system is as follows:

[0034] S501, obtaining the plane area data S of each photovoltaic panel, the total number n of photovoltaic panels and the load data qk of each photovoltaic panel;

[0035] S502. Calculate the load-bearing coefficient of the roof system according to the following formula , where r1, r2 and r3 are additional coefficients of the roof system, and their value range is determined according to the material properties of the roof system. fck represents the axial compressive strength of the roof system, and its value is determined according to the strength of the steel structure used in the roof system. h is the average thickness of the steel structure module in the roof system.

[0036] The present invention also provides a distributed photovoltaic system optimization design system for a paint spraying hangar roof, comprising a model building unit, a region demarcation unit, a system design unit, an angle optimization unit, a parameter output unit and a solution optimization unit;

[0037] The model building unit is used to obtain the dimension data and steel structure load-bearing analysis data of the aircraft hangar roof system, build a spatial virtual model of the roof system based on the dimension data and the steel structure load-bearing analysis data, and delineate the photovoltaic panel bearing area based on the spatial virtual model and send it to the area delineation unit;

[0038] The area demarcation unit is used to obtain the number n of photovoltaic panels in the distributed photovoltaic system, the plane area data of each photovoltaic panel and the weight data of each photovoltaic panel, calculate the pressure coefficient of the photovoltaic panel on the roof system based on the size and weight data of the photovoltaic panel, and demarcate the photovoltaic panel distribution area within the photovoltaic panel bearing area according to the preset pressure judgment threshold and send it to the system design unit;

[0039] The system design unit is used to obtain the size of photovoltaic panels in the distributed photovoltaic system and establish a photovoltaic panel virtual component, mark n photovoltaic panel virtual components one by one in the photovoltaic panel distribution area, and obtain a distributed photovoltaic system plane design diagram;

[0040] The angle optimization unit is used to obtain the geographical coordinates of the area where the aircraft hangar roof system is located, obtain the historical irradiation data of the location of the aircraft hangar roof system in the meteorological database according to the geographical coordinates, calculate the optimal inclination angle of the photovoltaic panel according to the historical irradiation data and send it to the parameter output unit;

[0041] The parameter output unit is used to obtain the minimum tilt angle when the photovoltaic panels are installed in the distributed photovoltaic system, calculate the optimal tilt angle in combination with the irradiation coefficient, obtain the angle adjustment parameter according to the difference between the optimal tilt angle and the minimum tilt angle, and send it to the solution optimization unit;

[0042] The scheme optimization unit is used to adjust the positions of the photovoltaic panel virtual components within the photovoltaic panel distribution area one by one according to the angle adjustment parameters, and obtain the optimized distributed photovoltaic system plan design drawing, and then calculate the bearing coefficient of the roof system according to the photovoltaic panel virtual components in the optimized distributed photovoltaic system plan design drawing, and obtain the optimized distributed photovoltaic system plan design drawing as the best design drawing.

[0043] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0044] The distributed photovoltaic system optimization design method and system for the paint hangar roof establishes a spatial virtual model of the roof system based on size data and steel structure load-bearing analysis data, and then delineates the photovoltaic panel bearing area based on the spatial virtual model, delineates the photovoltaic panel distribution area within the photovoltaic panel bearing area, marks n photovoltaic panel virtual components one by one in the photovoltaic panel distribution area, calculates the optimal inclination angle of the photovoltaic panel according to historical irradiation data, adjusts the positions of the photovoltaic panel virtual components in the photovoltaic panel distribution area one by one according to the optimal inclination angle, and obtains the optimized distributed photovoltaic system plan design drawing, and then recalculates the bearing coefficient of the roof system according to the photovoltaic panel virtual components, and obtains the optimized distributed photovoltaic system plan design drawing as the best design drawing, which maximizes the distribution area of ​​the photovoltaic panels under the load-bearing limit of the roof system and ensures the light conversion of the photovoltaic panels at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A schematic diagram of the method flow of the present invention is shown;

[0046] Figure 2 A schematic diagram of the system structure of the present invention is shown. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Embodiment 1:

[0048] like Figure 1 As shown, a method for optimizing the design of a distributed photovoltaic system on a roof of a spray painting hangar comprises the following steps:

[0049] Step 1: Obtain the dimension data of the aircraft hangar roof system and the steel structure load-bearing analysis data, establish a spatial virtual model of the roof system based on the dimension data and the steel structure load-bearing analysis data, and define the photovoltaic panel bearing area based on the spatial virtual model;

[0050] The specific process of demarcating the photovoltaic panel bearing area is as follows:

[0051] S101, performing on-site surveying and scanning of the aircraft hangar roof system to obtain dimension data of the aircraft hangar roof system, and processing the dimension data to form a three-dimensional point cloud model of the roof system;

[0052] S102, collecting and processing panoramic image data of the aircraft hangar roof system to generate panoramic photo data,

[0053] S103, extracting materials corresponding to various structural dimensions of the aircraft hangar roof system from the panoramic photo data, and finding out the load-bearing coefficients thereof from a network database according to the material properties, and then calculating the steel structure load-bearing coefficients of the hangar roof system according to the load-bearing coefficients, matching and fusing the steel structure load-bearing coefficients with the three-dimensional point cloud model of the roof system to form a high-precision spatial virtual model;

[0054] S104. Delineate the top area of ​​the roof system based on the high-precision spatial virtual model, and grid the top area. According to a preset load-bearing threshold, mark the grid area that exceeds the load-bearing threshold as the photovoltaic panel bearing area, and obtain the roof system bearing plan.

[0055] The specific process of calculating the steel structure bearing coefficient is as follows:

[0056] S201. Taking each steel structure module in the roof system as a unit, obtaining materials corresponding to each structural dimension in the steel structure module, and finding out its bearing coefficient from a network database according to the material properties, wherein the bearing coefficient includes the composite stress of the transverse and longitudinal directions of the material and the span and width of the steel structure module;

[0057] S202. Calculate the steel structure bearing coefficient of the steel structure module according to the following formula , where σx is the transverse composite stress of the steel structure module, σy is the longitudinal composite stress of the steel structure module, a is the span of the steel structure module, and b is the width of the steel structure module.

[0058] Step 2: Obtain the number n of photovoltaic panels in the distributed photovoltaic system, the plane area data of each photovoltaic panel, and the weight data of each photovoltaic panel, calculate the pressure coefficient of the photovoltaic panel on the roof system based on the photovoltaic panel size and photovoltaic panel weight data, and delineate the photovoltaic panel distribution area within the photovoltaic panel bearing area according to the preset pressure judgment threshold;

[0059] The specific process of demarcating the photovoltaic panel distribution area is as follows:

[0060] S301, obtaining a roof system bearing plane diagram, and dividing the photovoltaic panel bearing area in the roof system bearing plane diagram into large blocks to obtain a pressure coefficient δi of each photovoltaic panel bearing area;

[0061] S302, obtaining the plane area data S of each photovoltaic panel and the weight data M of each photovoltaic panel in the distributed photovoltaic system;

[0062] S303, calculate the pressure coefficient of the photovoltaic panel on each photovoltaic panel bearing area according to the following formula , where e1 and e2 are preset proportional coefficients, and the pressure coefficient Pi is used to reflect the degree of influence of each photovoltaic panel on the pressure bearing capacity of the roof system plane. The larger the pressure coefficient Pi is, the greater the influence of the photovoltaic panel on the pressure bearing capacity of the roof system plane is. On the contrary, the smaller the pressure coefficient Pi is, the smaller the influence of the photovoltaic panel on the pressure bearing capacity of the roof system plane is.

[0063] S304 . According to a preset pressure judgment threshold, the photovoltaic panel bearing area whose pressure coefficient is greater than the pressure judgment threshold is marked as a photovoltaic panel distribution area, and a photovoltaic panel distribution plane map is obtained.

[0064] Step 3: Create a photovoltaic panel virtual component according to the size of the photovoltaic panel in the distributed photovoltaic system, mark the n photovoltaic panel virtual components one by one in the photovoltaic panel distribution area, and obtain a distributed photovoltaic system plan design diagram;

[0065] Step 4: Obtain the geographic coordinates of the area where the aircraft hangar roof system is located, obtain the historical irradiation data of the location of the aircraft hangar roof system in the meteorological database according to the geographic coordinates, and calculate the optimal inclination angle of the photovoltaic panel according to the historical irradiation data;

[0066] The specific process of calculating the optimal tilt angle of the photovoltaic panel is as follows:

[0067] S401, obtaining historical irradiation data of the location of the aircraft hangar roof system, wherein the historical irradiation data includes total irradiation HT, direct irradiation HbT and scattered irradiation HdT. It can be known that the total irradiation HT is the sum of the direct irradiation HbT and the scattered irradiation HdT;

[0068] S402, calculating the maximum inclination angle β of the photovoltaic panel according to the following formula: ,in is the local latitude, β is the optimal tilt angle of the photovoltaic panel, δ is the solar declination angle, ωs is the sunset angle on the horizontal plane, and ωst is the sunset angle on the inclined plane;

[0069] S403, obtaining the pressure coefficient Pi of the photovoltaic panel on each photovoltaic panel bearing area, and calculating the optimal inclination angle of the photovoltaic panel , where e3 is the preset proportional coefficient.

[0070] Step 5: Obtain the minimum tilt angle when installing the photovoltaic panels in the distributed photovoltaic system, calculate the optimal tilt angle in combination with the irradiation coefficient, and obtain the angle adjustment parameter according to the difference between the optimal tilt angle and the minimum tilt angle;

[0071] Step 6: Adjust the positions of the photovoltaic panel virtual components within the photovoltaic panel distribution area one by one according to the angle adjustment parameters to obtain the optimized distributed photovoltaic system plane design drawing, and then calculate the load-bearing coefficient of the roof system according to the photovoltaic panel virtual components in the optimized distributed photovoltaic system plane design drawing, and determine the load-bearing coefficient according to the preset load-bearing threshold;

[0072] If the load-bearing coefficient is less than or equal to the load-bearing threshold, the optimized distributed photovoltaic system plan design drawing is the best design drawing;

[0073] If the load-bearing coefficient is greater than the load-bearing threshold, the optimized distributed photovoltaic system plan design is not the best design, and return to step 4 to recalculate the optimal inclination angle.

[0074] The specific process of calculating the load-bearing coefficient of the roof system is as follows:

[0075] S501, obtaining the plane area data S of each photovoltaic panel, the total number n of photovoltaic panels and the load data qk of each photovoltaic panel;

[0076] S502. Calculate the load-bearing coefficient of the roof system according to the following formula , where r1, r2 and r3 are additional coefficients of the roof system, and their value range is determined according to the material properties of the roof system. fck represents the axial compressive strength of the roof system, and its value is determined according to the strength of the steel structure used in the roof system. h is the average thickness of the steel structure module in the roof system.

[0077] The present invention establishes a spatial virtual model of the roof system based on size data and steel structure load-bearing analysis data, and then delineates the photovoltaic panel bearing area based on the spatial virtual model, delineates the photovoltaic panel distribution area within the photovoltaic panel bearing area, marks n photovoltaic panel virtual components one by one in the photovoltaic panel distribution area, calculates the optimal inclination angle of the photovoltaic panel according to historical irradiation data, adjusts the positions of the photovoltaic panel virtual components in the photovoltaic panel distribution area one by one according to the optimal inclination angle, obtains an optimized distributed photovoltaic system plan design drawing, and then recalculates the bearing coefficient of the roof system according to the photovoltaic panel virtual components, and obtains the optimized distributed photovoltaic system plan design drawing as the best design drawing, maximizes the distribution area of ​​the photovoltaic panels under the load-bearing limit of the roof system, and ensures the light conversion of the photovoltaic panels at the same time.

[0078] Embodiment 2:

[0079] like Figure 2 As shown, a distributed photovoltaic system optimization design system for a paint hangar roof includes a model building unit, a region demarcation unit, a system design unit, an angle optimization unit, a parameter output unit and a solution optimization unit;

[0080] The model building unit is used to obtain the dimension data and steel structure load-bearing analysis data of the aircraft hangar roof system, build a spatial virtual model of the roof system based on the dimension data and the steel structure load-bearing analysis data, and delineate the photovoltaic panel bearing area based on the spatial virtual model and send it to the area delineation unit;

[0081] The area demarcation unit is used to obtain the number n of photovoltaic panels in the distributed photovoltaic system, the plane area data of each photovoltaic panel and the weight data of each photovoltaic panel, calculate the pressure coefficient of the photovoltaic panel on the roof system based on the size and weight data of the photovoltaic panel, and demarcate the photovoltaic panel distribution area within the photovoltaic panel bearing area according to the preset pressure judgment threshold and send it to the system design unit;

[0082] The system design unit is used to obtain the size of photovoltaic panels in the distributed photovoltaic system and establish a photovoltaic panel virtual component, mark n photovoltaic panel virtual components one by one in the photovoltaic panel distribution area, and obtain a distributed photovoltaic system plane design diagram;

[0083] The angle optimization unit is used to obtain the geographical coordinates of the area where the aircraft hangar roof system is located, obtain the historical irradiation data of the location of the aircraft hangar roof system in the meteorological database according to the geographical coordinates, calculate the optimal inclination angle of the photovoltaic panel according to the historical irradiation data and send it to the parameter output unit;

[0084] The parameter output unit is used to obtain the minimum tilt angle when the photovoltaic panels are installed in the distributed photovoltaic system, calculate the optimal tilt angle in combination with the irradiation coefficient, obtain the angle adjustment parameter according to the difference between the optimal tilt angle and the minimum tilt angle, and send it to the solution optimization unit;

[0085] The scheme optimization unit is used to adjust the positions of the photovoltaic panel virtual components within the photovoltaic panel distribution area one by one according to the angle adjustment parameters, and obtain the optimized distributed photovoltaic system plan design drawing, and then calculate the bearing coefficient of the roof system according to the photovoltaic panel virtual components in the optimized distributed photovoltaic system plan design drawing, and obtain the optimized distributed photovoltaic system plan design drawing as the best design drawing.

[0086] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0087] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0088] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for optimizing the design of a distributed photovoltaic system on a paint hangar roof, characterized in that: The following steps are involved: Step 1: Obtain the dimension data of the aircraft hangar roof system and the steel structure load-bearing analysis data, establish a spatial virtual model of the roof system based on the dimension data and the steel structure load-bearing analysis data, and define the photovoltaic panel bearing area based on the spatial virtual model; Step 2: Obtain the number n of photovoltaic panels in the distributed photovoltaic system, the plane area data of each photovoltaic panel, and the weight data of each photovoltaic panel, calculate the pressure coefficient of the photovoltaic panel on the roof system based on the photovoltaic panel size and photovoltaic panel weight data, and delineate the photovoltaic panel distribution area within the photovoltaic panel bearing area according to the preset pressure judgment threshold; Step 3: Create a photovoltaic panel virtual component according to the size of the photovoltaic panel in the distributed photovoltaic system, mark the n photovoltaic panel virtual components one by one in the photovoltaic panel distribution area, and obtain a distributed photovoltaic system plan design diagram; Step 4: Obtain the geographic coordinates of the area where the aircraft hangar roof system is located, obtain the historical irradiation data of the location of the aircraft hangar roof system in the meteorological database according to the geographic coordinates, and calculate the optimal inclination angle of the photovoltaic panel according to the historical irradiation data; Step 5: Obtain the minimum tilt angle when installing the photovoltaic panels in the distributed photovoltaic system, calculate the optimal tilt angle in combination with the irradiation coefficient, and obtain the angle adjustment parameter according to the difference between the optimal tilt angle and the minimum tilt angle; Step 6: Adjust the positions of the photovoltaic panel virtual components within the photovoltaic panel distribution area one by one according to the angle adjustment parameters to obtain the optimized distributed photovoltaic system plane design drawing, and then calculate the load-bearing coefficient of the roof system according to the photovoltaic panel virtual components in the optimized distributed photovoltaic system plane design drawing, and determine the load-bearing coefficient according to the preset load-bearing threshold; If the load-bearing coefficient is less than or equal to the load-bearing threshold, the optimized distributed photovoltaic system plan design drawing is the best design drawing; If the load-bearing coefficient is greater than the load-bearing threshold, the optimized distributed photovoltaic system plan design is not the best design, and return to step 4 to recalculate the optimal inclination angle.

2. The optimization design method of a distributed photovoltaic system on a paint hangar roof according to claim 1 is characterized in that: The specific process of demarcating the photovoltaic panel bearing area is as follows: S101, performing on-site surveying and scanning of the aircraft hangar roof system to obtain dimension data of the aircraft hangar roof system, and processing the dimension data to form a three-dimensional point cloud model of the roof system; S102, collecting and processing panoramic image data of the aircraft hangar roof system to generate panoramic photo data, S103, extracting materials corresponding to various structural dimensions of the aircraft hangar roof system from the panoramic photo data, and finding out the load-bearing coefficients thereof from a network database according to the material properties, and then calculating the steel structure load-bearing coefficients of the hangar roof system according to the load-bearing coefficients, matching and fusing the steel structure load-bearing coefficients with the three-dimensional point cloud model of the roof system to form a high-precision spatial virtual model; S104. Delineate the top area of ​​the roof system based on the high-precision spatial virtual model, and grid the top area. According to a preset load-bearing threshold, mark the grid area that exceeds the load-bearing threshold as the photovoltaic panel bearing area, and obtain the roof system bearing plan.

3. The optimization design method of a distributed photovoltaic system on a paint hangar roof according to claim 1 is characterized in that: The specific process of calculating the steel structure bearing coefficient is as follows: S201. Taking each steel structure module in the roof system as a unit, obtaining materials corresponding to each structural dimension in the steel structure module, and finding out its bearing coefficient from a network database according to the material properties, wherein the bearing coefficient includes the composite stress of the transverse and longitudinal directions of the material and the span and width of the steel structure module; S202. Calculate the steel structure bearing coefficient of the steel structure module according to the following formula , where σx is the transverse composite stress of the steel structure module, σy is the longitudinal composite stress of the steel structure module, a is the span of the steel structure module, and b is the width of the steel structure module.

4. The method for optimizing the design of a distributed photovoltaic system on a paint hangar roof according to claim 1, characterized in that: The specific process of demarcating the photovoltaic panel distribution area is as follows: S301, obtaining a roof system bearing plane diagram, and dividing the photovoltaic panel bearing area in the roof system bearing plane diagram into large blocks to obtain a pressure coefficient δi of each photovoltaic panel bearing area; S302, obtaining the plane area data S of each photovoltaic panel and the weight data M of each photovoltaic panel in the distributed photovoltaic system; S303, calculate the pressure coefficient of the photovoltaic panel on each photovoltaic panel bearing area according to the following formula , where e1 and e2 are preset proportional coefficients, and the pressure coefficient Pi is used to reflect the degree of influence of each photovoltaic panel on the pressure bearing capacity of the roof system plane. The larger the pressure coefficient Pi is, the greater the influence of the photovoltaic panel on the pressure bearing capacity of the roof system plane is. On the contrary, the smaller the pressure coefficient Pi is, the smaller the influence of the photovoltaic panel on the pressure bearing capacity of the roof system plane is. S304 . According to a preset pressure judgment threshold, the photovoltaic panel bearing area whose pressure coefficient is greater than the pressure judgment threshold is marked as a photovoltaic panel distribution area, and a photovoltaic panel distribution plane map is obtained.

5. The method for optimizing the design of a distributed photovoltaic system on a paint hangar roof according to claim 1, characterized in that: The specific process of calculating the optimal tilt angle of the photovoltaic panel is as follows: S401, obtaining historical irradiation data of the location of the aircraft hangar roof system, wherein the historical irradiation data includes total irradiation HT, direct irradiation HbT and scattered irradiation HdT. It can be known that the total irradiation HT is the sum of the direct irradiation HbT and the scattered irradiation HdT; S402, calculating the maximum inclination angle β of the photovoltaic panel according to the following formula: ,in is the local latitude, β is the optimal tilt angle of the photovoltaic panel, δ is the solar declination angle, ωs is the sunset angle on the horizontal plane, and ωst is the sunset angle on the inclined plane; S403, obtaining the pressure coefficient Pi of the photovoltaic panel on each photovoltaic panel bearing area, and calculating the optimal inclination angle of the photovoltaic panel , where e3 is the preset proportional coefficient.

6. The method for optimizing the design of a distributed photovoltaic system on the roof of a spray painting hangar according to claim 1, characterized in that: The specific process of calculating the load-bearing coefficient of the roof system is as follows: S501, obtaining the plane area data S of each photovoltaic panel, the total number n of photovoltaic panels and the load data qk of each photovoltaic panel; S502. Calculate the load-bearing coefficient of the roof system according to the following formula , where r1, r2 and r3 are additional coefficients of the roof system, and their value range is determined according to the material properties of the roof system. fck represents the axial compressive strength of the roof system, and its value is determined according to the strength of the steel structure used in the roof system. h is the average thickness of the steel structure module in the roof system.

7. An optimization design system for a distributed photovoltaic system on the roof of a paint hangar, characterized in that: It includes model building unit, area demarcation unit, system design unit, angle optimization unit, parameter output unit and solution optimization unit; The model building unit is used to obtain the dimension data and steel structure load-bearing analysis data of the aircraft hangar roof system, build a spatial virtual model of the roof system based on the dimension data and the steel structure load-bearing analysis data, and delineate the photovoltaic panel bearing area based on the spatial virtual model and send it to the area delineation unit; The area demarcation unit is used to obtain the number n of photovoltaic panels in the distributed photovoltaic system, the plane area data of each photovoltaic panel and the weight data of each photovoltaic panel, calculate the pressure coefficient of the photovoltaic panel on the roof system based on the size and weight data of the photovoltaic panel, and demarcate the photovoltaic panel distribution area within the photovoltaic panel bearing area according to the preset pressure judgment threshold and send it to the system design unit; The system design unit is used to obtain the size of photovoltaic panels in the distributed photovoltaic system and establish a photovoltaic panel virtual component, mark n photovoltaic panel virtual components one by one in the photovoltaic panel distribution area, and obtain a distributed photovoltaic system plane design diagram; The angle optimization unit is used to obtain the geographical coordinates of the area where the aircraft hangar roof system is located, obtain the historical irradiation data of the location of the aircraft hangar roof system in the meteorological database according to the geographical coordinates, calculate the optimal inclination angle of the photovoltaic panel according to the historical irradiation data and send it to the parameter output unit; The parameter output unit is used to obtain the minimum tilt angle when the photovoltaic panels are installed in the distributed photovoltaic system, calculate the optimal tilt angle in combination with the irradiation coefficient, obtain the angle adjustment parameter according to the difference between the optimal tilt angle and the minimum tilt angle, and send it to the solution optimization unit; The scheme optimization unit is used to adjust the positions of the photovoltaic panel virtual components within the photovoltaic panel distribution area one by one according to the angle adjustment parameters, and obtain the optimized distributed photovoltaic system plan design drawing, and then calculate the bearing coefficient of the roof system according to the photovoltaic panel virtual components in the optimized distributed photovoltaic system plan design drawing, and obtain the optimized distributed photovoltaic system plan design drawing as the best design drawing.

Images