Planning and layout method, device and equipment for plateau alpine low-carbon building and storage medium

Abstract

The invention discloses a planning layout method, device and equipment for a plateau alpine low-carbon building and a storage medium, and relates to the technical field of electrical digital data processing, the method considers wind energy resource distribution and light energy resource distribution of the plateau alpine region at the same time, analyzes a comprehensive position meeting the minimum wind speed and maximum illumination as much as possible, and provides a planning layout for the plateau alpine low-carbon building. According to the method, solar energy of a low-carbon building can be sufficiently obtained, meanwhile, negative experience brought by wind blowing all the year round is avoided, then building groups are arranged in sequence along a connecting line of the minimum wind speed and the maximum illumination, all the building groups can be arranged in a good position, finally, the floating building in the model is pulled down, and the building groups are arranged in a good position. Or the building embedded in the ground is pulled up, so that an objective and accurate planning layout can be obtained, and layout errors caused by manual subjective experience in the past are avoided.

Description

Technical Field

[0001] The present application relates to the technical field of new energy base surveying and mapping, and particularly relates to a method, device, equipment and storage medium for planning and layout of high-altitude and cold-region low-carbon buildings. Background Art

[0002] High-altitude and cold-region low-carbon buildings are designed to adapt to the special environments of high-altitude and cold regions, and are buildings with characteristics such as low carbon, environmental protection, and energy conservation. Such buildings usually adhere to the design concept of returning to nature, and pay attention to natural lighting and ventilation to reduce the winter energy consumption of the buildings. By utilizing the unique sunlight conditions in the high-altitude regions, solar energy is stored and converted into heat energy to provide warmth for the buildings, realizing low-carbon heating. The building form and functional layout will be specially designed in combination with the high-altitude climate characteristics to ensure the stability and comfort of the buildings under extreme climate conditions.

[0003] Currently, for the regional planning and layout of high-altitude and cold-region low-carbon buildings, the planning and layout of each high-altitude and cold-region low-carbon building are usually given by comprehensively considering factors such as climate characteristics and resource utilization manually, and then the planning and layout drawings of high-altitude and cold-region low-carbon buildings are finalized through subsequent manual verification and review.

[0004] Since the entire process of the regional planning and layout of high-altitude and cold-region low-carbon buildings involves manual participation, the substitution of subjective experience errors will more or less affect the final layout of each high-altitude and cold-region low-carbon building, resulting in insufficient utilization of regional wind and light resources and poor living and usage experiences. Summary of the Invention

[0005] The main purpose of the present application is to provide a method, device, equipment and storage medium for planning and layout of high-altitude and cold-region low-carbon buildings, so as to solve the problem in the prior art that the planning and layout of high-altitude and cold-region low-carbon buildings have subjective experience errors, resulting in insufficient utilization of regional wind and light resources.

[0006] To achieve the above purpose, the present application provides the following technical solutions:

[0007] A method for planning and layout of high-altitude and cold-region low-carbon buildings, the planning and layout method is applied to low-carbon buildings to be constructed in high-altitude and cold regions, there are several low-carbon buildings to be constructed and all low-carbon buildings to be constructed have at least two functional types, and the planning and layout method includes:

[0008] Step S1, defining weight coefficients that decrease in turn from high to low according to the preset importance degree of functional types;

[0009] Step S2, classifying all low-carbon buildings to be constructed into all functional types, and obtaining a weight coefficient based on one low-carbon building to be constructed;

[0010] Step S3, obtain the wind speed probability distribution and solar radiation distribution in the high-altitude and cold region;

[0011] Step S4, obtain all the minimum elevation coordinate points of the wind speed probability distribution and all the maximum elevation coordinate points of the solar radiation distribution;

[0012] Step S5, obtain the connection lines of the minimum elevation coordinate points and the maximum elevation coordinate points that are closest to each other;

[0013] Step S6, determine whether all the connection lines are chaotic. If not, execute Step S7;

[0014] Step S7, first place the low-carbon building to be constructed with the highest weight coefficient based on the midpoint of each connection line;

[0015] Step S8, starting from the low-carbon building to be constructed with the highest weight coefficient, place the remaining low-carbon buildings to be constructed along each connection line in the decreasing order of the weight coefficient on both sides;

[0016] Step S9, perform elevation z-value movement on each placed low-carbon building to be constructed until the foundation part of each low-carbon building to be constructed contacts the ground surface of the high-altitude and cold region, and obtain the planning layout of all the low-carbon buildings to be constructed.

[0017] As a further improvement of the present application, in Step S6, determining whether all the connection lines are chaotic includes:

[0018] Step S61, obtain the minimum covering circle of all the minimum elevation coordinate points and all the maximum elevation coordinate points based on the horizontal plane;

[0019] Step S62, respectively extend each connection line in the minimum covering circle until all the extended connection lines contact the minimum covering circle;

[0020] Step S63, obtain the total number of the intersection points of all the connection lines and the intersection points of all the extended connection lines;

[0021] Step S64, determine whether the total number is greater than or equal to half of the number of all the connection lines. If not, it is determined as non-chaotic, and execute Step S7.

[0022] As a further improvement of the present application, after Step S64, determining whether the total number is greater than or equal to half of the number of all the connection lines, includes:

[0023] Step S10, if so, determine that all the connection lines are chaotic;

[0024] Step S20, obtain the midpoints of all the connection lines and delete the outliers of the midpoints of all the connection lines;

[0025] Step S30: Obtain the minimum covering circle of the midpoints of the reserved connection lines;

[0026] Step S40: Place the low-carbon building to be constructed with the highest weight coefficient at the center of the minimum covering circle of the midpoints of the connection lines;

[0027] Step S50: Determine whether the number of low-carbon buildings to be constructed with the highest weight coefficient is unique. If it is unique, execute Step S60;

[0028] Step S60: Starting from the low-carbon building to be constructed with the highest weight coefficient, along the radius of the minimum covering circle of the midpoints of the connection lines towards the circumferential direction, place the remaining low-carbon buildings to be constructed in decreasing order of the weight coefficient;

[0029] Step S70: Define the radius of the minimum covering circle of the midpoints of the connection lines as the priority direction towards the nearest maximum elevation coordinate point or the nearest minimum elevation coordinate point.

[0030] As a further improvement of the present application, in Step S50, after determining whether the number of low-carbon buildings to be constructed with the highest weight coefficient is unique, it includes:

[0031] Step S100: If it is not unique, place all the low-carbon buildings with the highest weight coefficient around the center of the minimum covering circle of the midpoints of the connection lines at a preset interval distance to form a small circular pattern;

[0032] Step S200: Place a coordinated dispatching low-carbon building at the center of the small circular pattern.

[0033] To achieve the above object, the present application also provides the following technical solution:

[0034] A planning and layout device for high-altitude and cold-region low-carbon buildings, which is applied to the above planning and layout method. The planning and layout device includes:

[0035] A functional type weight coefficient definition module, which is used to define successively decreasing weight coefficients according to the preset importance degree of functional types from high to low;

[0036] A low-carbon building to be constructed classification module, which is used to classify all low-carbon buildings to be constructed into all functional types, and obtain a weight coefficient based on a low-carbon building to be constructed;

[0037] A high-altitude and cold-region wind and light parameter acquisition module, which is used to acquire the wind speed probability distribution and solar radiation distribution in the high-altitude and cold region;

[0038] A wind and light parameter extreme value acquisition module, which is used to acquire all minimum elevation coordinate points of the wind speed probability distribution and all maximum elevation coordinate points of the solar radiation distribution;

[0039] The nearest extreme value connection obtaining module is used to obtain the connection line between the minimum value elevation coordinate point and the maximum value elevation coordinate point with the closest distance to each other;

[0040] The connection line chaos judgment module is used to judge whether all connection lines are chaotic;

[0041] The to-be-constructed low-carbon building first placement module is used to, if not chaotic, first place the to-be-constructed low-carbon building with the highest weight coefficient based on the midpoint of each connection line;

[0042] The to-be-constructed low-carbon building sequential placement module is used to, starting from the to-be-constructed low-carbon building with the highest weight coefficient, place the remaining to-be-constructed low-carbon buildings on both sides along each connection line in the decreasing order of the weight coefficient;

[0043] The to-be-constructed low-carbon building model adjustment module is used to respectively perform elevation z value movement on each placed to-be-constructed low-carbon building until the foundation part of each to-be-constructed low-carbon building contacts the surface of the plateau and alpine region, so as to obtain the planning layout of all to-be-constructed low-carbon buildings.

[0044] To achieve the above purpose, the present application also provides the following technical solutions:

[0045] An electronic device includes a processor and a memory coupled to the processor, and the memory stores program instructions executable by the processor; when the processor executes the program instructions stored in the memory, the planning layout method as described above is implemented.

[0046] To achieve the above purpose, the present application also provides the following technical solutions:

[0047] A storage medium stores program instructions, and when the program instructions are executed by a processor, the planning layout method as described above can be implemented.

[0048] This application defines weight coefficients that decrease in turn from high to low according to the preset importance of function types; classifies all low-carbon buildings to be constructed into all function types, and obtains a weight coefficient based on a low-carbon building to be constructed; obtains the wind speed probability distribution and solar radiation distribution in the high-altitude and cold regions; obtains all minimum value elevation coordinate points of the wind speed probability distribution and all maximum value elevation coordinate points of the solar radiation distribution; obtains the connection lines between the minimum value elevation coordinate points and the maximum value elevation coordinate points that are closest to each other in distance; determines whether all the connection lines are chaotic. If not, first place the low-carbon building to be constructed with the highest weight coefficient based on the midpoint of each connection line; starting from the low-carbon building to be constructed with the highest weight coefficient, place the remaining low-carbon buildings to be constructed along each connection line in the decreasing order of the weight coefficients on both sides; perform elevation z-value movement on each placed low-carbon building to be constructed until the foundation part of each low-carbon building to be constructed contacts the ground surface of the high-altitude and cold regions, and obtain the planning layout of all low-carbon buildings to be constructed. This application simultaneously considers the wind energy resource distribution and light energy resource distribution in the high-altitude and cold regions, analyzes the comprehensive positions that can satisfy the minimum wind speed and maximum sunlight as much as possible, so as to ensure that the solar energy of the low-carbon building can be fully obtained while avoiding the negative experience brought by perennial strong winds. Then, arrange the building groups along the connection lines of the minimum wind speed and maximum sunlight in sequence, so as to realize that all building groups can be arranged in a better position. Finally, pull down the floating buildings in the model or pull up the buildings embedded in the ground, and an objective and accurate planning layout can be obtained, avoiding the layout errors caused by the previous artificial subjective experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic flowchart of the steps of an embodiment of the method for planning and layout of high-altitude and cold low-carbon buildings in this application;

[0050] Figure 2 It is a schematic diagram of the function modules of an embodiment of the device for planning and layout of high-altitude and cold low-carbon buildings in this application;

[0051] Figure 3 It is a schematic structural diagram of an embodiment of the electronic device in this application;

[0052] Figure 4 It is a schematic structural diagram of an embodiment of the storage medium in this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] Next, the technical solutions in the embodiments of this application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0054] The terms "first", "second", and "third" in this application are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first", "second", and "third" may explicitly or implicitly include at least one of such features. In the description of this application, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise specifically defined. All directional indications (such as up, down, left, right, front, back...) in the embodiments of this application are only used to explain the relative positional relationship and movement conditions between components in a specific posture (as shown in the drawings). If the specific posture changes, the directional indications will also change accordingly. In addition, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally further include unlisted steps or units, or may optionally further include other steps or units inherent to these processes, methods, products, or devices.

[0055] Referring to "embodiments" herein means that the specific features, structures, or characteristics described in connection with the embodiments can be included in at least one embodiment of this application. The appearance of this phrase in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0056] As Figure 1 shown, this embodiment provides an embodiment of the planning and layout method for plateau alpine low-carbon buildings. In this embodiment, the planning and layout method is applied to the to-be-built low-carbon buildings in the plateau alpine region, and the to-be-built low-carbon buildings have several and all of the to-be-built low-carbon buildings have at least two functional types.

[0057] Preferably, the plateau alpine low-carbon building is a building designed to adapt to the special environment of high altitude and alpine regions, and has characteristics such as low carbon, environmental protection, and energy conservation. Such buildings are equipped with photovoltaic functions to achieve self-production and self-sale, and achieve low-carbon emissions or zero-carbon emissions.

[0058] Preferably, the functional types of the plateau alpine low-carbon buildings can be divided into five grades according to their importance and usage requirements: special grade, first grade, second grade, third grade, and fourth grade.

[0059] Among them, special-class buildings: Such buildings have characteristics of great commemorativeness, historicity, internationality, and national level. For example, national-level buildings such as state guesthouses, the National Grand Theatre, the Great Hall of the People, the National Art Museum, museums, libraries, national-level scientific research centers, sports and medical buildings, etc.; international buildings such as key UNESCO buildings, international tourism and trade buildings, international welfare and health buildings, large international airports, etc.

[0060] First-class buildings: Such buildings belong to high-class residential and public buildings. It includes high-class residences such as single dormitories for senior scientific research personnel, high-class hotels, office buildings of ministries, commissions, provinces, and military levels; national key science, education, and culture buildings, key cultural and entertainment assembly buildings, exhibition buildings, sports buildings, foreign-related nurseries and kindergartens, medical buildings, transportation and postal buildings, commercial buildings, etc.

[0061] Second-class buildings: Such buildings are intermediate-class residential and public buildings. It includes intermediate-class residences, science, education, and culture buildings of institutions of higher learning, scientific research units, and provincial, autonomous region, and municipality directly under the Central Government-level hotels, prefecture- and city-level office buildings, general cultural and entertainment assembly buildings, exhibition buildings, sports buildings, welfare and health buildings, transportation and postal buildings, commercial buildings, and other public buildings at the provincial, autonomous region, and municipality directly under the Central Government level, etc.

[0062] Third-class buildings: Such buildings are general residential and public buildings. It includes general residences such as single dormitories, student dormitories, general hotels, office buildings of administrative, enterprises, and public institutions, primary and secondary school teaching buildings, cultural and entertainment assembly buildings, general exhibition and sports buildings, county-level welfare and health buildings, transportation and postal buildings, general commercial and other public buildings, etc.

[0063] Fourth-class buildings: Such buildings are low-standard residential and public buildings, usually with a fire protection rating of Class IV, including residential buildings, dormitory buildings, hotel buildings, office buildings, science, education, and culture buildings, welfare and health buildings, commercial buildings, and other public buildings, etc.

[0064] Specifically, the planning and layout method includes:

[0065] Step S1, define a weight coefficient that decreases successively from high to low according to the preset importance degree of the function type.

[0066] Preferably, if the above five classifications of special-class, first-class, second-class, third-class, and fourth-class are adopted, the weight coefficients can be defined as 5, 4, 3, 2, 1 in sequence. The weight coefficients only need to satisfy the decreasing requirement, and do not need to be strictly in accordance with 5, 4, 3, 2, 1.

[0067] Step S2, classify all low-carbon buildings to be constructed into all function types, and obtain a weight coefficient based on a low-carbon building to be constructed.

[0068] Preferably, the program can automatically classify through Bayesian classification.

[0069] Step S3, obtaining the wind speed probability distribution and solar radiation distribution in the high-altitude and cold regions.

[0070] Preferably, the wind speed probability distribution can be obtained by the following steps:

[0071] ① According to the two-parameter Weibull distribution, the probability distribution function and the probability density function are defined. Both the probability distribution function and the probability density function include scale parameters and shape parameters.

[0072] ②Define the log-likelihood function of the scale parameter and shape parameter.

[0073] ③ Solve the scale parameter and shape parameter based on the log-likelihood function.

[0074] The above matrix equation is iterated by Jacobi iteration method until the spectral radius ρ(G) of the matrix equation is less than 1, which means convergence.

[0075] After convergence, the scale parameter and shape parameter of the Weibull distribution can be obtained.

[0076] ④ Substitute the solved scale parameter and the solved shape parameter into the probability distribution function and the probability density function respectively to obtain the wind speed probability distribution of the plateau and cold areas.

[0077] Preferably, the solar radiation distribution can be obtained by directly querying from public channels, such as the China Wind and Solar Energy Resources Annual Bulletin and its appendices published by the Meteorological Bureau.

[0078] Step S4, obtaining all minimum elevation coordinate points of the wind speed probability distribution and all maximum elevation coordinate points of the solar radiation distribution.

[0079] In simple terms, the minimum value is the trough and the maximum value is the peak, and the number is likely not to be 1.

[0080] Step S5, obtaining a line connecting the minimum elevation coordinate point and the maximum elevation coordinate point that are closest to each other.

[0081] Preferably, the minimum elevation coordinate point and the maximum elevation coordinate point that are closest to each other can be calculated by Euclidean distance.

[0082] Step S6, determine whether all the connections are chaotic, if not, execute step S7.

[0083] Step S7, first placing the low-carbon building to be constructed with the highest weight coefficient based on the midpoint of each connecting line.

[0084] Step S8, starting from the low-carbon building to be constructed with the highest weight coefficient, the remaining low-carbon buildings to be constructed are arranged in descending order of weight coefficients along each connecting line.

[0085] For example, the weight coefficients of nine buildings are 1, 1, 2, 2, 3, 3, 4, 4, and 5 respectively. Arranged according to the content of steps S7 to S8, 1, 2, 3, 4, 5, 4, 3, 2, 1 will be obtained, where 5 is at the midpoint.

[0086] It should be noted that in the chain arrangement, the highest weight coefficient may also be an even number. For example, the weight coefficients of ten buildings are 1, 1, 2, 2, 3, 3, 4, 4, 5, 5. It can be seen that there are two highest weight coefficients. Then, one 5 can be placed on each side of the midpoint connected by the line as the symmetry axis, that is, 1, 2, 3, 4, 5, 5, 4, 3, 2, 1.

[0087] Among them, if the number of the highest weight coefficients is odd and not unique, one is placed at the midpoint of the connection line, and then they are placed outward on both sides in turn until all the highest weight coefficients are placed, and then the lower weight coefficients are placed. For example, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 5. It can be seen that there are three highest weight coefficients, that is, 1, 2, 3, 4, 5, 5, 5, 4, 3, 2, 1.

[0088] Step S9: Move the elevation z value of each arranged low-carbon building to be constructed until the foundation part of each low-carbon building to be constructed contacts the surface of the plateau and alpine region, and obtain the planning layout of all low-carbon buildings to be constructed.

[0089] Preferably, since the terrain in the plateau area may not be flat, resulting in a certain part of the connection line being floating or embedded in the ground, it is necessary to adjust the height of the buildings on this part of the connection line.

[0090] Furthermore, step S6: Judge whether all connection lines are chaotic, including:

[0091] Step S61: Obtain the minimum covering circle of all minimum elevation coordinate points and all maximum elevation coordinate points based on the horizontal plane.

[0092] Step S62: Extend each connection line in the minimum covering circle until all the extended connection lines contact the minimum covering circle.

[0093] Step S63: Obtain the total number of the number of intersection points of all connection lines and the number of intersection points of all extended connection lines.

[0094] Step S64: Judge whether the total number is greater than or equal to half of the number of all connection lines. If not, it is determined that it is not chaotic, and step S7 is executed.

[0095] Furthermore, step S64: Judge whether the total number is greater than or equal to half of the number of all connection lines. After that, it includes:

[0096] Step S10. If so, it is determined that all the connections are chaotic.

[0097] Step S20. Obtain the midpoints of all the connections and delete the outliers among the midpoints of all the connections.

[0098] Step S30. Obtain the minimum enclosing circle of the remaining midpoints of the connections.

[0099] Step S40. Place the low-carbon building to be constructed with the highest weight coefficient at the center of the minimum enclosing circle of the midpoints of the connections.

[0100] Step S50. Determine whether the number of low-carbon buildings to be constructed with the highest weight coefficient is unique. If it is unique, execute Step S60.

[0101] Step S60. Starting from the low-carbon building to be constructed with the highest weight coefficient, along the radius of the minimum enclosing circle of the midpoints of the connections towards the circumference direction, place the remaining low-carbon buildings to be constructed in decreasing order of the weight coefficient.

[0102] Step S70. Define the radius of the minimum enclosing circle of the midpoints of the connections as the maximum value elevation coordinate point closest to the preferred orientation or the minimum value elevation coordinate point closest to the preferred orientation.

[0103] Generally understood, the above placement method is a radial pattern from the center to the surrounding, and each radial direction is as close as possible to the extreme points.

[0104] Further, in Step S50, after determining whether the number of low-carbon buildings to be constructed with the highest weight coefficient is unique, it includes:

[0105] Step S100. If it is not unique, place all the buildings with the highest weight coefficient around the center of the minimum enclosing circle of the midpoints of the connections at a preset interval distance to form a small circular pattern.

[0106] Preferably, if the buildings with the highest weight coefficient are not unique, all the buildings with the highest weight coefficient can be arranged in a small circle in a centrosymmetric form.

[0107] Step S200. Place a coordinated dispatching low-carbon building at the center of the small circular pattern.

[0108] Further, in Step S2, classify all the low-carbon buildings to be constructed into all the functional types, and obtain a weight coefficient based on a low-carbon building to be constructed, including:

[0109] Further, in Step S20, when obtaining the midpoints of all the connections and deleting the outliers among the midpoints of all the connections, it includes:

[0110] Step S201. Define the coordinate data set U of the midpoints of all the connections as U=(P1, P2, …, P k , …, Pm ), where m is the number of midpoints of all connections.

[0111] Step S202: Divide the coordinate data set U in the x - direction and y - direction. Based on the division in the x - direction, obtain the abscissa data set Ux=(P 1x , P 2x , …, P kx , …, P mx ), and based on the division in the y - direction, obtain the ordinate data set Uy=(P1y, P2y, …, Pky, …, Pmy).

[0112] Step S203: Calculate the expectation μ x and standard deviation σ x of the abscissa data set Ux, and the expectation μ y and standard deviation σ y of the ordinate data set Uy.

[0113] Step S204: When and , then determine that P k is a valid midpoint.

[0114] Step S205: When or , then determine that P k is an outlier.

[0115] Step S206: Delete the midpoints of the connections determined to be outliers.

[0116] Furthermore, step S61: Obtain the minimum covering circle of all minimum - value elevation coordinate points and all maximum - value elevation coordinate points based on the horizontal plane, including:

[0117] Step S611: Generate a plane rectangular coordinate system based on an arbitrary horizontal plane.

[0118] Step S612: Vertically project all minimum - value elevation coordinate points and all maximum - value elevation coordinate points onto the plane rectangular coordinate system to form several projected coordinate points.

[0119] Step S613: Obtain any two coordinate points p1 and p2 from all the projected coordinate points, and use the line segment p1p2 as the diameter to obtain the initial circle C2, where the subscript 2 represents the number of projected coordinate points inside the initial circle.

[0120] Step S614: Traverse each projected coordinate point in turn, and determine whether the i - th projected coordinate point p i is located in the first iterative circle C i-1 . If the i - th projected coordinate point p i is not located in the first iterative circle C i-1If it is within, then execute step S615.

[0121] Step S615: Use the line segment p1p i as the diameter to obtain the second iterative circle C i .

[0122] Step S616: Determine whether the j-th projected coordinate point p j is within the second iterative circle C i , where j < i. If the j-th projected coordinate point p j is not within the second iterative circle C i , then execute step S617.

[0123] Step S617: Use the line segment p1p j as the diameter to obtain the third iterative circle C j .

[0124] Step S618: Determine whether the k-th projected coordinate point p k is within the third iterative circle C j , where k < j < i. If the k-th projected coordinate point p k is not within the third iterative circle C j , then execute step S619.

[0125] Step S619: Connect p i , p j , p k to form a triangle, and obtain the circumcircle of the triangle. The circumcircle is the minimum covering circle.

[0126] Preferably, the minimum covering circle of the midpoints of all the connecting lines in step S100 can also be obtained by the above method.

[0127] It should be noted that the minimum covering circle of the midpoints of the connecting lines in step S100 is not the minimum covering circle of all the minimum elevation coordinate points and all the maximum elevation coordinate points based on the horizontal plane in step S61. The attributives of the two are different.

[0128] In summary, this embodiment can be simulated through MATLAB / simulink.

[0129] This embodiment defines a weight coefficient that decreases in turn from high to low according to the preset importance degree of the function type; classifies all low-carbon buildings to be constructed into all function types, and obtains a weight coefficient based on a low-carbon building to be constructed; obtains the wind speed probability distribution and solar radiation distribution in the high-altitude and cold regions; obtains all minimum value elevation coordinate points of the wind speed probability distribution and all maximum value elevation coordinate points of the solar radiation distribution; obtains the connection line between the minimum value elevation coordinate point and the maximum value elevation coordinate point with the closest distance to each other; determines whether all the connection lines are chaotic. If not, first place the low-carbon building to be constructed with the highest weight coefficient based on the midpoint of each connection line; starting from the low-carbon building to be constructed with the highest weight coefficient, place the remaining low-carbon buildings to be constructed on both sides along each connection line in the decreasing order of the weight coefficient; move the elevation z value of each placed low-carbon building to be constructed until the foundation part of each low-carbon building to be constructed contacts the ground surface of the high-altitude and cold regions, so as to obtain the planning layout of all low-carbon buildings to be constructed. This embodiment simultaneously considers the wind energy resource distribution and light energy resource distribution in the high-altitude and cold regions, and analyzes the comprehensive position that can satisfy the minimum wind speed and maximum sunlight as much as possible, so as to ensure that the solar energy of the low-carbon building can be fully obtained while avoiding the negative experience brought by perennial winds. Then, arrange the building groups along the connection line of the minimum wind speed and maximum sunlight in sequence, so as to realize that all building groups can be arranged in a better position. Finally, pull down the floating buildings in the model or pull up the buildings embedded in the ground, and an objective and accurate planning layout can be obtained, avoiding the layout error caused by the previous artificial subjective experience.

[0130] As Figure 2 shown, this embodiment provides an embodiment of the planning layout device for high-altitude and cold low-carbon buildings. In this embodiment, the planning layout device is applied to the planning layout method in the above-mentioned embodiment.

[0131] Specifically, the planning layout device includes a function type weight coefficient definition module 1, a low-carbon building to be constructed classification module 2, a high-altitude and cold region wind and light parameter acquisition module 3, a wind and light parameter extreme value acquisition module 4, a closest extreme value connection line acquisition module 5, a connection line chaos degree judgment module 6, a low-carbon building to be constructed first placement module 7, a low-carbon building to be constructed sequential placement module 8, and a low-carbon building to be constructed model adjustment module 9 that are electrically connected in sequence.

[0132] Among them, the function type weight coefficient definition module 1 is used to define decreasing weight coefficients in sequence according to the preset importance degrees of function types from high to low; the to-be-built low-carbon building classification module 2 is used to classify all to-be-built low-carbon buildings into all function types, and obtain a weight coefficient based on a to-be-built low-carbon building; the wind-solar parameters acquisition module 3 for high-altitude and cold regions is used to acquire the wind speed probability distribution and solar radiation distribution in high-altitude and cold regions; the extreme value acquisition module 4 for wind-solar parameters is used to acquire all minimum value elevation coordinate points of the wind speed probability distribution and all maximum value elevation coordinate points of the solar radiation distribution; the nearest extreme value connection acquisition module 5 is used to acquire the connection lines between the minimum value elevation coordinate points and the maximum value elevation coordinate points that are closest to each other; the connection line chaos judgment module 6 is used to judge whether all connection lines are chaotic; the first placement module 7 for to-be-built low-carbon buildings is used to, if not chaotic, first place the to-be-built low-carbon building with the highest weight coefficient based on the midpoint of each connection line; the sequential placement module 8 for to-be-built low-carbon buildings is used to, starting from the to-be-built low-carbon building with the highest weight coefficient, sequentially place the remaining to-be-built low-carbon buildings along both sides of each connection line in the decreasing order of weight coefficients; the model adjustment module 9 for to-be-built low-carbon buildings is used to move the elevation z value of each placed to-be-built low-carbon building respectively until the foundation part of each to-be-built low-carbon building contacts the ground surface of the high-altitude and cold region, so as to obtain the layout planning of all to-be-built low-carbon buildings.

[0133] Further, the connection line chaos judgment module 6 specifically includes a first connection line chaos judgment sub-module, a second connection line chaos judgment sub-module, a third connection line chaos judgment sub-module, and a fourth connection line chaos judgment sub-module that are electrically connected in sequence; the first connection line chaos judgment sub-module is electrically connected to the nearest extreme value connection acquisition module 5, and the fourth connection line chaos judgment sub-module is electrically connected to the first placement module 7 for to-be-built low-carbon buildings.

[0134] Among them, the first connection line chaos judgment sub-module is used to obtain the minimum covering circle of all minimum value elevation coordinate points and all maximum value elevation coordinate points based on the horizontal plane; the second connection line chaos judgment sub-module is used to extend each connection line in the minimum covering circle until all the extended connection lines contact the minimum covering circle; the third connection line chaos judgment sub-module is used to obtain the total number of the intersection points of all connection lines and the intersection points of all extended connection lines; the fourth connection line chaos judgment sub-module is used to judge whether the total number is greater than or equal to half of the number of all connection lines. If the total number is not greater than or equal to half of the number of all connection lines, it is determined as not chaotic, and the first placement module 7 for to-be-built low-carbon buildings is executed.

[0135] Further, the planning and layout device further includes a connection chaos determination module, a connection midpoint acquisition and screening module, a connection midpoint minimum covering circle acquisition module, a minimum covering circle building placement module, a highest weight coefficient uniqueness judgment module, and a to-be-built low-carbon building radiation layout module that are electrically connected in sequence; the connection chaos determination module is electrically connected to the fourth connection chaos judgment sub-module.

[0136] Among them, the connection chaos determination module is used to determine that all connections are chaotic if the sum of the numbers is greater than or equal to half of the total number of all connections; the connection midpoint acquisition and screening module is used to acquire the midpoints of all connections and delete the outliers of all connection midpoints; the connection midpoint minimum covering circle acquisition module is used to acquire the minimum covering circle of the remaining connection midpoints; the minimum covering circle building placement module is used to place the to-be-built low-carbon building with the highest weight coefficient at the center of the minimum covering circle of the connection midpoints; the highest weight coefficient uniqueness judgment module is used to judge whether the number of to-be-built low-carbon buildings with the highest weight coefficient is unique; the to-be-built low-carbon building radiation layout module is used to, if the number of to-be-built low-carbon buildings with the highest weight coefficient is unique, start from the to-be-built low-carbon building with the highest weight coefficient and place the remaining to-be-built low-carbon buildings in decreasing order of weight coefficient along the radius of the minimum covering circle of the connection midpoints towards the circumferential direction; the to-be-built low-carbon building radiation direction adjustment module is used to define the radius of the minimum covering circle of the connection midpoints as the preferred direction towards the nearest maximum elevation coordinate point or the nearest minimum elevation coordinate point.

[0137] Further, the planning and layout device further includes a building small circumferential style placement module and a coordinated scheduling of low-carbon building placement module that are electrically connected in sequence, and the building small circumferential style placement module is electrically connected to the highest weight coefficient uniqueness judgment module.

[0138] Among them, the building small circumferential style placement module is used to, if the number of to-be-built low-carbon buildings with the highest weight coefficient is not unique, place all the buildings with the highest weight coefficient around the center of the minimum covering circle of the connection midpoints at a preset interval distance to form a small circumferential style; the coordinated scheduling of low-carbon building placement module is used to place a coordinated scheduling of low-carbon building at the center of the small circumferential style.

[0139] It should be noted that this embodiment is a functional module item embodiment based on the above method embodiment. For additional content such as the preference, expansion, limitation, and illustrative examples of this embodiment, please refer to the above method embodiment, and this embodiment will not be elaborated further.

[0140] This embodiment defines weight coefficients that decrease in sequence from high to low according to the preset importance degree of function types; classifies all low-carbon buildings to be constructed into all function types, and obtains a weight coefficient based on a low-carbon building to be constructed; obtains the wind speed probability distribution and solar radiation distribution in the high-altitude and cold regions; obtains all minimum value elevation coordinate points of the wind speed probability distribution and all maximum value elevation coordinate points of the solar radiation distribution; obtains the connection lines between the minimum value elevation coordinate points and the maximum value elevation coordinate points that are closest to each other in distance; determines whether all the connection lines are chaotic. If not, first place the low-carbon building to be constructed with the highest weight coefficient based on the midpoint of each connection line; starting from the low-carbon building to be constructed with the highest weight coefficient, place the remaining low-carbon buildings to be constructed on both sides along each connection line in the decreasing order of the weight coefficients; move the elevation z value of each placed low-carbon building to be constructed until the foundation part of each low-carbon building to be constructed contacts the ground surface of the high-altitude and cold regions, and obtain the planning layout of all low-carbon buildings to be constructed. This embodiment simultaneously considers the wind energy resource distribution and light energy resource distribution in the high-altitude and cold regions, analyzes the comprehensive positions that can satisfy the minimum wind speed and maximum sunlight as much as possible, so as to ensure that the solar energy of the low-carbon building can be sufficiently obtained while avoiding the negative experience brought by perennial wind. Then, arrange the building groups along the connection line of the minimum wind speed and maximum sunlight in sequence, so as to realize that all building groups can be arranged in a better position. Finally, pull down the floating buildings in the model or pull up the buildings embedded in the ground, and the objective and accurate planning layout can be obtained, avoiding the layout error brought by the previous artificial subjective experience.

[0141] As Figure 3 shown, this embodiment provides an embodiment of an electronic device. In this embodiment, the electronic device 10 includes a processor 101 and a memory 102 coupled to the processor 101.

[0142] The memory 102 stores program instructions for implementing the method for planning the layout of low-carbon buildings in high-altitude and cold regions in any of the above embodiments.

[0143] The processor 101 is configured to execute the program instructions stored in the memory 102 to perform the planning and layout of low-carbon buildings in high-altitude and cold regions.

[0144] Among them, the processor 101 can also be referred to as a CPU (Central Processing Unit). The processor 101 may be an integrated circuit chip with signal processing capabilities. The processor 101 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0145] Furthermore, Figure 4 FIG. 337 is a schematic structural diagram of a storage medium according to an embodiment of the present application. The storage medium 11 of the embodiment of the present application stores program instructions 111 that can implement all the above methods. Among them, the program instructions 111 can be stored in the above storage medium in the form of a software product, including several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: various media that can store program codes such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, or terminal devices such as computers, servers, mobile phones, and tablets.

[0146] In several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of devices or units can be in electrical, mechanical, or other forms.

[0147] In addition, in each embodiment of the present application, each functional unit can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. The above is only the implementation manner of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.

[0148] The specific implementation manners of the present application have been described in detail above, but they are only examples, and the present application is not limited to the specific implementation manners described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the present application. Therefore, all equivalent transformations, modifications, improvements, etc. made without departing from the spirit and principle of the present application should be covered by the scope of the present application.

Claims

1. A planning and layout method for high-altitude and cold-region low-carbon buildings, the planning and layout method is applied to the to-be-built low-carbon buildings in high-altitude and cold regions, the to-be-built low-carbon buildings are several and all to-be-built low-carbon buildings have at least two functional types, characterized in that, The described planning and layout method includes: Step S1, defining weight coefficients that decrease in sequence from high to low according to the preset importance levels of functional types; Step S2, classifying all low-carbon buildings to be constructed into all functional types, and obtaining a weight coefficient based on a low-carbon building to be constructed; Step S3, obtaining the wind speed probability distribution and solar radiation distribution in the high-altitude and cold region; Step S4, obtaining all minimum value elevation coordinate points of the wind speed probability distribution and all maximum value elevation coordinate points of the solar radiation distribution; Step S5, obtaining the connection lines between the minimum value elevation coordinate points and the maximum value elevation coordinate points that are closest to each other in distance; Step S6, determining whether all the connection lines are chaotic. If not, execute Step S7; Step S7, first placing the low-carbon building to be constructed with the highest weight coefficient based on the midpoint of each connection line; Step S8, starting from the low-carbon building to be constructed with the highest weight coefficient, placing the remaining low-carbon buildings to be constructed along each connection line in the decreasing order of the weight coefficients on both sides; Step S9, respectively moving each placed low-carbon building to be constructed in the z-value of elevation until the foundation part of each low-carbon building to be constructed contacts the ground surface of the high-altitude and cold region, obtaining the planning and layout of all low-carbon buildings to be constructed.

2. The planning and layout method according to claim 1, wherein Step S6, determining whether all the connection lines are chaotic, including: Step S61, obtaining the minimum covering circle of all minimum value elevation coordinate points and all maximum value elevation coordinate points based on the horizontal plane; Step S62, respectively extending each connection line in the minimum covering circle until all the extended connection lines contact the minimum covering circle; Step S63, obtaining the total number of the intersection points of all connection lines and the intersection points of all extended connection lines; Step S64, determining whether the total number is greater than or equal to half of the number of all connection lines. If not, it is determined as not chaotic, and execute Step S7.

3. The planning and layout method according to claim 2, wherein Step S64, after determining whether the total number is greater than or equal to half of the number of all connection lines, including: Step S10, if so, determining that all the connection lines are chaotic; Step S20, obtaining the midpoints of all connection lines and deleting the outlier points of all connection line midpoints; Step S30, obtaining the minimum covering circle of the remaining connection line midpoints; Step S40, placing the low-carbon building to be constructed with the highest weight coefficient at the center of the minimum covering circle of the connection line midpoints; Step S50, determining whether the number of low-carbon buildings to be constructed with the highest weight coefficient is unique. If it is unique, execute Step S60; Step S60, starting from the low-carbon building to be constructed with the highest weight coefficient, placing the remaining low-carbon buildings to be constructed along the radius of the minimum covering circle of the connection line midpoints in the circumferential direction in the decreasing order of the weight coefficients; Step S70, defining the radius of the minimum covering circle of the connection line midpoints as the preferred direction towards the nearest maximum value elevation coordinate point or the preferred direction towards the nearest minimum value elevation coordinate point.

4. The planning and layout method according to claim 3, wherein Step S50, after determining whether the number of low-carbon buildings to be constructed with the highest weight coefficient is unique, including: Step S100, if not unique, place the building with the highest weight coefficient around the center of the minimum covering circle of the midpoint of the connection line at a preset interval distance to form a small circular pattern. Step S200, place a coordinated and dispatched low-carbon building at the center of the small circular pattern.

5. A planning and layout device for a high-altitude and cold-region low-carbon building, which is applied to the planning and layout method as described in any one of claims 1 to 4, and is characterized in that, The planning and layout device includes: A function type weight coefficient definition module, used to define decreasing weight coefficients in order from high to low according to the preset importance of function types. A to-be-built low-carbon building classification module, used to classify all to-be-built low-carbon buildings into all function types, and obtain a weight coefficient based on a to-be-built low-carbon building. A high-altitude and cold-region wind-solar parameter acquisition module, used to acquire the wind speed probability distribution and solar radiation distribution in the high-altitude and cold region. A wind-solar parameter extreme value acquisition module, used to acquire all minimum value elevation coordinate points of the wind speed probability distribution and all maximum value elevation coordinate points of the solar radiation distribution. A nearest extreme value connection line acquisition module, used to acquire the connection line between the minimum value elevation coordinate point and the maximum value elevation coordinate point with the closest distance to each other. A connection line chaos judgment module, used to judge whether all connection lines are chaotic. A to-be-built low-carbon building first placement module, used to place the to-be-built low-carbon building with the highest weight coefficient first based on the midpoint of each connection line if not chaotic. A to-be-built low-carbon building sequential placement module, used to start from the to-be-built low-carbon building with the highest weight coefficient and sequentially place the remaining to-be-built low-carbon buildings along both sides of each connection line in the decreasing order of the weight coefficient. A to-be-built low-carbon building model adjustment module, used to move the elevation z value of each placed to-be-built low-carbon building respectively until the foundation part of each to-be-built low-carbon building contacts the surface of the high-altitude and cold region, and obtain the planning and layout of all to-be-built low-carbon buildings.

6. An electronic device, characterized in that, It includes a processor and a memory coupled to the processor, and the memory stores program instructions executable by the processor; when the processor executes the program instructions stored in the memory, it implements the planning and layout method according to any one of claims 1 to 4.

7. A storage medium, characterized in that, The storage medium stores program instructions, and when the program instructions are executed by the processor, they can implement the planning and layout method according to any one of claims 1 to 4.

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