Terminal layout optimization method, device and medium based on spatial structure auxiliary line

Abstract

The application discloses a terminal building layout optimization method based on a space structure auxiliary line, equipment and medium, relates to the technical field of computer-aided design, and the method is classified by acquiring a terminal building design scheme drawing file, obtains terminal building multi-source data, provides a standardized data basis for subsequent technical implementation, and guarantees the accuracy of the whole process; the space structure line high-precision mapping technology is adopted, the terminal building physical elements are converted into digital structured constraints, the deviation between the physical and digital nodes is less than or equal to 1 m, and the problem that the deviation between the traditional flow lines and the actual trajectories is large is solved; the layout distribution multi-dimensional evaluation index is adopted, the single index limitation is broken through, the extreme value interference is avoided, more accurate and reliable data basis is provided for subsequent evaluation; finally, the dynamic iterative optimization mechanism is combined, the short board index in the initial optimization scheme is oriented and optimized, and thus the optimal technical scheme is output, the whole process data driving is realized, and the application range is wide.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computer-aided design, in particular to a terminal building layout optimization method based on space structure auxiliary lines, a device and a medium. BACKGROUND

[0002] In the complex traffic building of airport terminal, passengers need to complete the whole process flow of "entrance → check-in → security check → commercial area stay → boarding position", and the scientific rationality of the flow line directly determines the travel efficiency and overall experience, which is the core of the design priority.

[0003] The maximum walking distance in a large hub airport is the core constraint of the configuration design, which needs to be controlled within 600-800 meters (8-10 minutes). This index deeply affects the design logic: too far needs to add a rapid transit, increasing the cost and complexity; reasonable control can guarantee passenger experience, balance the boarding position capacity and traffic efficiency, and is the key symbol of the "high efficiency + humanization" design of the terminal building.

[0004] The average walking speed of passengers in the terminal building is 1-1.3 m / s, and the time consumed increases by 1-2 minutes for every 100 meters of distance; if the route turns more than 3 times (especially 90° or more turning intersections), the risk of getting lost will significantly increase. The physical exertion of too long a distance and the difficulty of direction recognition of too many turns are easy to cause passengers to miss their flights, trigger complaints, and disrupt travel plans.

[0005] Therefore, accurately generating flow lines that conform to the behavior logic of passengers and scientifically quantifying comfort are the core needs of design optimization. The existing technology is difficult to adapt to scenarios such as finger corridor layout, dense boarding positions, and multiple node series, and needs to combine space features and innovative algorithms to achieve high-precision automated optimization and promote the transformation of design from experience-driven to data-driven.

[0006] However, the existing data-driven technology still has the following deficiencies and bottlenecks:

[0007] (1) Single evaluation index: the existing technology only takes the maximum walking distance as the core standard, ignoring the actual experience of most passengers (such as the concentration of nearby boarding positions), and the extreme value of individual remote boarding positions (such as the finger corridor terminal boarding position) easily interferes with the overall optimization direction, leading to design schemes that sacrifice the experience of the majority for the benefit of the minority;

[0008] (2) Insufficient prediction accuracy of flow lines and walking distances: the existing technology lacks accurate mapping of the space structure of the terminal building (such as finger corridor axis, security check passage turning, and commercial area flow node), and the deviation rate between the generated flow lines and the actual walking track of passengers is often more than 20%;

[0009] (3) Not considering the distribution characteristics of boarding positions: the existing technology ignores the systematic impact of the spatial density of boarding positions on the overall flow line, and the design scheme is difficult to adapt to the operation needs of flight parking and passenger distribution;

[0010] (4) Low degree of automation, the prior art relies on manual calculation of walking distance, statistics of path turning times, strong subjectivity, low efficiency and high error rate, and cannot cope with complex scenes of large terminal buildings (such as 100+ gates). SUMMARY

[0011] In view of the problems existing in the prior art, the application provides a terminal layout optimization method, device and medium based on a space structure auxiliary line.

[0012] The application is implemented by the following technical solutions:

[0013] A terminal layout optimization method based on a space structure auxiliary line, comprising:

[0014] Extracting and processing core data of the terminal from the current design scheme, including different types of near-gate data and space structure lines;

[0015] Realizing walking path prediction based on the space structure line mapping to obtain walking distances and path turning times corresponding to all gates;

[0016] Based on the walking distances and path turning times of all gates, obtaining layout quantitative multidimensional evaluation indexes, including the farthest / nearthest walking distance gate, distance index, gate number ratio in the division interval, and turning number index;

[0017] Changing the current design scheme, returning to the step of extracting and processing core data of the terminal from the current design scheme to obtain layout quantitative multidimensional evaluation indexes of the next design scheme until layout quantitative multidimensional evaluation indexes of all preset design schemes are obtained;

[0018] Based on the layout quantitative multidimensional evaluation indexes of all design schemes, screening out an initial optimization scheme meeting the design target;

[0019] Determining an optimal design scheme by directional iterative optimization of the initial optimization scheme, and outputting the optimal design scheme data to a related platform for auxiliary design.

[0020] In some embodiments, the core data of the terminal extracted and processed from the current design scheme comprises:

[0021] Inputting a design drawing corresponding to the current design scheme;

[0022] Extracting various near-gate quantities, combination ratios, and gate space layouts from the design drawing;

[0023] Extracting a terminal outer contour line from the design drawing and determining a space structure line starting point and an end point according to the terminal outer contour line;

[0024] extracting key node coordinate information from the design drawing for supporting construction of the land-side passenger flow line in the space structure line;

[0025] extracting the axis and combination relationship of the main building and the corridor skeleton from the design drawing for supporting construction of the air-side passenger flow line in the space structure line;

[0026] obtaining the complete space structure line according to the constructed land-side passenger flow line and the air-side passenger flow line.

[0027] In some embodiments, the walking path prediction based on the space structure line mapping comprises:

[0028] mapping the space structure line to a digital model of the terminal to ensure that the path reference is consistent with the actual scene;

[0029] using the mapped space structure line as a constraint to avoid the path from deviating from the physical boundary;

[0030] using a shortest pathfinding algorithm to generate a path that conforms to the actual walking logic; the path is from the entrance to each gate;

[0031] based on the generated path, calculating and outputting key parameters, including the walking distance of each gate and the number of path turns.

[0032] In some embodiments, the layout quantitative multidimensional evaluation index is obtained based on the walking distance and the number of path turns of all gates, comprising:

[0033] finding the gate and path corresponding to the farthest walking distance and the gate and path corresponding to the nearest walking distance from all the gates by sorting and extreme value screening;

[0034] calculating the distance index including the average walking distance and the weighted average distance according to the walking distance of all gates;

[0035] segmenting the gate number ratio of each walking distance interval according to the walking distance of all gates according to a preset interval distance;

[0036] obtaining the turn number index including the maximum turn number, the average turn number and the weighted average turn number according to the number of path turns of all gates.

[0037] In some embodiments, the average walking distance is calculated by dividing the total walking distance of all the sites by the total number of sites; and the weighted average distance is calculated by first calculating the product of the walking distance and the corresponding number of passengers of each site, and then dividing the total product of all the sites by the total number of passengers of all the sites.

[0038] In some embodiments, the proportion of the number of sites in each walking distance interval is calculated by dividing the number of sites in each walking distance interval by the total number of sites, and then multiplying by 100%.

[0039] In some embodiments, the maximum number of turns is obtained by sorting and extreme value screening from the number of turns of all the sites; the average number of turns is obtained by dividing the total number of turns of all the sites by the total number of sites; and the weighted average number of turns is obtained by first calculating the product of the number of turns and the corresponding number of passengers of each site, and then dividing the total product of all the sites by the total number of passengers of all the sites.

[0040] In some embodiments, the preset design scheme is obtained by:

[0041] changing key design variables to obtain several different design schemes, wherein the key design variables include the number of corridors, different types of near-site layouts, and space structure lines.

[0042] In some embodiments, the layout quantitative multi-dimensional evaluation index based on all the design schemes is used to screen out an initial optimization scheme that meets the design target, including:

[0043] The design target includes an optimal experience target, a resource efficiency target, and an expansion scenario.

[0044] Under the optimal experience target, the comprehensive score of each group of design schemes is calculated by standardizing and weighting the distance index and the number of turns, and the one with the highest score is selected as the initial optimization scheme.

[0045] Under the resource efficiency target, the one with the maximum number of sites is selected as the initial optimization scheme from the schemes that meet the specification or project requirements.

[0046] Under the expansion scenario, the special requirements are met first, and then the schemes that meet the requirements are compared and selected as the initial optimization scheme.

[0047] In some embodiments, the directional iterative optimization of the initial optimization scheme determines an optimal design scheme, comprising:

[0048] Fine-tuning the spatial structure line or optimizing different types of near-machine position distribution with the short-board index in the initial optimization scheme as the target, reacquiring the corresponding layout quantization multidimensional evaluation index after each fine-tuning or optimization, ensuring that the short-board index is improved and other indexes have no obvious change;

[0049] The fine-tuning or fine-tuning process and the layout quantization multidimensional evaluation index acquisition process are cycled until the number of cycle iterations is reached or the short-board index meets the relevant requirements, the cycle is stopped, and the current scheme is taken as the optimal design scheme.

[0050] In a second aspect, the present application provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements any of the above airport layout optimization methods when executing the computer program.

[0051] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement any of the above airport layout optimization methods.

[0052] The present application provides an airport layout optimization method based on spatial structure auxiliary line, which classifies and processes the airport design scheme drawing file (CAD, etc.) to obtain airport multi-source data (spatial structure line, different types of near-machine position related data, etc.), provides a standardized data basis for subsequent technical implementation, and ensures the accuracy of the whole process. The spatial structure line high-precision mapping technology is adopted to convert the physical elements of the airport into digital structured constraints, so that the deviation between the physical and digital nodes is less than or equal to 1m, solving the problem of large deviation between traditional flow lines and actual trajectories. The layout distribution multidimensional evaluation index is adopted to break through the limitation of single index and avoid extreme value interference, providing more accurate and reliable data basis for subsequent evaluation. Finally, a dynamic iterative optimization mechanism is combined to optimize the short-board index in the initial optimization scheme, thereby outputting an optimal technical scheme and realizing whole-process data-driven with wide application range.

[0053] Correspondingly, the electronic device and the computer-readable storage medium proposed by the present application also have the same technical effects as described above. BRIEF DESCRIPTION OF DRAWINGS

[0054] The accompanying drawings described herein are used to provide further understanding of the embodiments of the present application, form a part of the present application, and do not constitute limitations on the embodiments of the present application. In the drawings:

[0055] Figure 1 The airport layout optimization method flowchart proposed by the embodiments of the present application;

[0056] Figure 2 A terminal building layout optimization device principle block diagram is proposed for the embodiments of the present application.

[0057] Figure 3 A terminal building layout optimization system architecture schematic diagram is proposed for the embodiments of the present application.

[0058] Figure 4 An electronic device schematic diagram is proposed for the embodiments of the present application.

[0059] Figure 5 A computer readable storage medium schematic diagram is proposed for the embodiments of the present application.

[0060] The reference signs and corresponding component names are as follows:

[0061] 200 - terminal building layout optimization device, 201 - preprocessing unit, 202 - path prediction unit, 203 - calculation unit, 204 - judgment unit, 205 - evaluation unit, 206 - iterative optimization unit, 300 - terminal building layout optimization system, 301 - input device, 302 - output device, 303 - processor A, 304 - memory A, 400 - electronic device, 410 - memory B, 420 - processor B, 411 - computer program A, 500 - computer readable storage medium, 511 - computer program B. DETAILED DESCRIPTION

[0062] Hereinafter, the term "include" or "may include" used in various embodiments of the present application indicates the existence of the invented function, operation, or element, and does not limit one or more functions, operations, or elements from being added. In addition, as used in various embodiments of the present application, the terms "include", "have", and their conjugates merely intend to denote a specific feature, number, step, operation, element, component, or combination of the foregoing, and should not be understood as first excluding the existence or possibility of adding one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.

[0063] In various embodiments of the present application, the expression "or" or "at least one of A or / and B" includes any combination of the listed terms or all combinations thereof. For example, the expression "A or B" or "at least one of A or / and B" can include A, can include B, or can include both A and B.

[0064] The expressions used in the various embodiments of the present application, such as "first", "second", etc., can modify various constituent elements in the various embodiments, but can not limit the corresponding constituent elements. For example, the above expressions do not limit the order and / or importance of the elements. The above expressions are only for the purpose of distinguishing one element from other elements. For example, the first user device and the second user device indicate different user devices, although both are user devices. For example, without departing from the scope of the various embodiments of the present application, a first element can be referred to as a second element, and similarly, a second element can also be referred to as a first element.

[0065] It should be noted that if a description connects one constituent element to another constituent element, the first constituent element can be directly connected to the second constituent element, and a third constituent element can be "connected" between the first constituent element and the second constituent element. Conversely, when one constituent element is "directly connected" to another constituent element, it can be understood that there is no third constituent element between the first constituent element and the second constituent element.

[0066] The terms used in the various embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to limit the various embodiments of the present application. As used herein, the singular form is intended to include the plural form, unless the context clearly indicates otherwise. Unless otherwise defined, all terms used herein, including technical terms and scientific terms, have the same meaning as commonly understood by those of ordinary skill in the art to which the various embodiments of the present application belong. The terms such as those defined in a generally used dictionary will be interpreted as having the same meaning as the contextual meaning in the relevant technical field and will not be interpreted as having an idealized or overly formal meaning, unless clearly defined in the various embodiments of the present application.

[0067] To make the purposes, technical solutions and advantages of the present application clearer, further detailed description of the present application is made below in combination with embodiments and drawings, the illustrative embodiments of the present application and their descriptions are only for the purpose of explaining the present application and not as a limitation of the present application.

[0068] The embodiments of the present application propose an airport terminal layout optimization method based on a spatial structure auxiliary line. The airport terminal layout optimization method first collects multi-dimensional data (near-stand type, spatial layout, etc.) and information pre-processing, then realizes path prediction and quantitative index output, and then builds an evaluation system, compares multiple scheme iteration optimization, and provides data support and landing basis for airport terminal layout design.

[0069] As shown in Figure 1 The airport terminal layout optimization method proposed by the embodiments of the present application includes the following steps:

[0070] Step 1, extract and process the core data of the terminal from the current design scheme, including different types of near-gate data and spatial structure lines;

[0071] Step 2, realize the walking path prediction based on the spatial structure line mapping, and obtain the walking distance and path turning number corresponding to all gates;

[0072] Step 3, based on the walking distance and path turning number of all gates, obtain the layout quantitative multi-dimensional evaluation index, including the farthest / nearby walking distance gate, distance index, zone gate number ratio and turning number index;

[0073] Step 4, change the current design scheme, and return to step 1 to obtain the layout quantitative multi-dimensional evaluation index of the next design scheme, until the layout quantitative multi-dimensional evaluation index of all preset design schemes is obtained;

[0074] Step 5, based on the layout quantitative multi-dimensional evaluation index of all design schemes, screen out the initial optimization scheme meeting the design target;

[0075] Step 6, perform directional iterative optimization on the initial optimization scheme to determine the optimal design scheme, and output the optimal design scheme data to the related platform for auxiliary design.

[0076] Further, in step 1 of the embodiment of the application, the core data of the terminal is extracted and processed from the current design scheme, including:

[0077] input the design drawing corresponding to the current design scheme;

[0078] extract the number, combination ratio and spatial layout of each type of near-gate from the design drawing; currently, airports mainly use E-class near-gates and C-class near-gates, wherein the E-class near-gates are suitable for E-class wide-body passenger planes, and are the core of hub airports to bear large flights and guarantee international route capacity, and the C-class near-gates are suitable for C-class narrow-body passenger planes, and account for the majority of the total number of near-gates, directly affecting the domestic flight docking rate and passenger boarding convenience; therefore, the embodiment of the application mainly takes the two types of E-class and C-class near-gates as examples for illustrative description, and the number, combination ratio and spatial layout of E-class and C-class near-gates are extracted in this step, so that the total number of gates (which determines the near-gate flight parking capacity during peak period, and is the basis for reducing the demand for shuttles), the combination ratio of E-class and C-class (such as E-class accounting for 20% and C-class accounting for 80%, which is the core basis for airport to accept different aircraft types), and the spatial layout of gates (which refers to the distribution of near-gates along the contour line of the finger, and needs to specify the distance between the gate and the contour line, the distribution position and characteristics of E / C-class, the distance between gates, and the parking requirements of different aircraft types) can be obtained;

[0079] Extract the terminal building contour line from the design drawing and determine the starting point and ending point of the space structure line according to the terminal building contour line, wherein the terminal building contour line refers to the contour line composed of the air side (near the parking position) contour line and the land side (connecting the road side) contour line, and the land side contour line is the main path for passengers to enter and exit, which provides a basis for defining the passenger activity space;

[0080] Extract the key node coordinate information from the design drawing, including the coordinate information of the entrance, security check point, etc., which is used to support the construction of the land side passenger flow line "entrance→security check" in the space structure line;

[0081] Extract the axis and combination relationship of the main building and the corridor skeleton from the design drawing, which is used to support the construction of the air side passenger flow line "security check→corridor→position" in the space structure line;

[0082] According to the constructed land side passenger flow line and air side passenger flow line, the complete space structure line is obtained.

[0083] Further, in step 2 of the embodiment of the present application, the walking path prediction is realized based on the space structure line mapping, including:

[0084] Map the space structure line to the digital model of the terminal building to ensure that the path reference is consistent with the actual scene;

[0085] With the mapped space structure line as a constraint, avoid the path from deviating from the physical boundary;

[0086] Using the shortest pathfinding algorithm, combined with the passenger "entrance→security check→position" action habit, a path that conforms to the actual walking logic is generated; the path is from the entrance to each position;

[0087] Based on the generated path, calculate and output key parameters, including: the walking distance of each position (accuracy less than or equal to 0.1 meters), to ensure data accuracy; and the number of turns of each path, to provide quantitative basis for space optimization;

[0088] Finally, the walking distance and the number of path turns are listed according to the position number.

[0089] Further, in step 3 of the embodiment of the present application, based on the walking path and the number of path turns of all positions, the layout quantitative multi-dimensional evaluation index is obtained, including:

[0090] Find the position corresponding to the farthest walking distance (i.e. the farthest walking distance position), the path, etc. from all the walking distances of the positions by sorting method and extreme value screening method; and find the position corresponding to the nearest walking distance (i.e. the nearest walking distance position), the path, etc.

[0091] According to the walking distances of all the stands, a distance index is calculated, including an average walking distance and a weighted average distance; wherein, the calculation method of the average walking distance is: the sum of the walking distances of all the stands is divided by the total number of stands to obtain the average walking distance, which serves as a benchmark reflecting the overall path convenience; the calculation method of the weighted average distance is: first, the product of the walking distance of each stand and the corresponding number of passengers is calculated and accumulated to obtain the total product of all stands, and then the total product of all stands is divided by the total number of passengers of all stands to obtain the weighted average walking distance, which can be used to analyze the influence of wide and narrow stand layout on the average distance;

[0092] According to the walking distances of all the stands, the number of stands in each walking distance interval is calculated according to a preset interval distance, and the stand number ratio is calculated in the following manner: the number of stands in each interval is divided by the total number of stands to obtain the stand number ratio corresponding to the interval, which is used to determine whether most stands are concentrated in a short distance interval, whether long-distance stands need to be optimized, etc.; for example, the preset interval distance is 50 meters in the embodiment of the present application, the number of stands in the 0-50 meter interval is counted, and the stand number ratio of the interval is calculated by the above calculation method, then the number of stands in the 50-100 meter interval is counted, and the stand number ratio of the interval is calculated by the above calculation method, and so on, to obtain the stand number ratio of each interval.

[0093] According to the number of path turns of all the stands, a turn index is obtained, including the maximum number of turns, the average number of turns, and the weighted average number of turns; wherein, the maximum number of turns is obtained in the following manner: the stand, path and model (near stand type) corresponding to the maximum number of turns are found out from the number of path turns of all the stands by sorting method and extreme value screening method; the average number of turns is obtained in the following manner: the total number of turns of all the stands is divided by the total number of stands to obtain the average number of turns, which reflects the overall turn level, the lower the value, the smoother the path, and the higher the value, the need to check the path redundancy; the weighted average number of turns is obtained in the following manner: first, the product of the number of turns of each stand and the corresponding number of passengers is calculated and accumulated to obtain the total product of all stands, and then the total product of all stands is divided by the total number of passengers of all stands to obtain the weighted average number of turns, which is consistent with the actual operation scene and reflects the influence of stand layout on the turn experience.

[0094] The embodiment of the present application uses the above multi-dimensional evaluation indexes such as the stand and path corresponding to the longest walking distance / the nearest walking distance, the distance index, the stand number ratio of each walking distance interval, and the turn index to replace the existing single farthest stand evaluation, avoids misjudgment of extreme values, and is more consistent with the actual operation scene of the airport, providing more accurate and reliable data support for stand layout and path optimization.

[0095] Further, in step 4 of the embodiment of the present application, a plurality of different design schemes are obtained by changing key design variables, including: the number of finger corridors (such as 4-finger corridor layout, 5-finger corridor layout), different types of near-machine layout (for example, the distribution proportion of E-class and C-class near-machine, the adjacent arrangement relationship, etc.), and the design of space structure lines (combination mode, angle of direction, etc.). The above steps 1 to 3 are repeated to obtain the layout quantification multi-dimensional evaluation indexes corresponding to different design schemes.

[0096] Further, in step 5 of the embodiment of the present application, an initial optimization scheme meeting the design target is screened out, including:

[0097] The layout quantification multi-dimensional evaluation indexes of all design schemes are screened out as initial optimization schemes according to the preset target. For example, under the optimal experience target, the comprehensive score corresponding to each group of design schemes is obtained by standardizing and weighting the distance index and the number of turns index, and the highest score is taken as the initial optimization scheme; under the resource efficiency target, the design scheme with the maximum number of machine positions is selected as the initial optimization scheme in the scheme meeting the specification or project requirement in the farthest walking distance; under the extended scene, the special requirements such as the minimum number of turns are met first, and then the initial optimization scheme is screened out as the initial optimization scheme by comparing the machine position and walking distance indexes. It should be noted that in the actual application process, as long as the index caliber is consistent (i.e., the average value is used or the weighted average value is used), any one of the distance index and the number of turns index can be used.

[0098] Further, in step 6 of the embodiment of the present application, the initial optimization scheme is iteratively optimized to determine the optimal design scheme, including:

[0099] The initial optimization scheme screened out in step 5 mainly meets the target requirements, but still has other short-board indexes, such as high number of turns, many long-distance machine positions, etc. Therefore, step 6 further iteratively optimizes the short-board in a targeted manner, and the specific process is as follows:

[0100] Taking a short-board index as a target, the space structure line is fine-tuned (for example, the angle of direction of the space structure line is fine-tuned) or different types of near-machine group distribution are optimized. After each fine-tuning or optimization, the layout quantification multi-dimensional evaluation indexes are re-acquired through the above steps 1 to 3, so as to ensure that the short-board index is improved and other indexes are not obviously changed. The above fine-tuning or optimization process and the layout quantification multi-dimensional evaluation index acquisition process are repeated until the number of iterations is reached or the short-board index meets the related requirements, the cycle is stopped, and the current scheme is taken as the optimal design scheme. The total number of machine positions, different near-machine distribution, distance and number of turns indexes, and design parameters (number of finger corridors, structure line design, etc.) corresponding to the optimal design scheme are output, providing design basis for actual landing.

[0101] Based on the same technical concept, the embodiment of the present application also proposes a terminal building layout optimization device based on space structure auxiliary lines, as shown in the figure, the terminal building layout optimization device 200 includes: Figure 2

[0102] The preprocessing unit 201 is configured to extract and process the core data of the terminal building from the current design scheme, including different types of near-stand data and space structure lines. The specific data extraction and processing method is described in step 1 above, and will not be repeated here.

[0103] The path prediction unit 202 is configured to realize walking path prediction based on space structure line mapping, and obtain the walking distance and path turning number corresponding to all stands. The specific path prediction process is described in step 2 above, and will not be repeated here.

[0104] The calculation unit 203 is configured to obtain layout quantitative multi-dimensional evaluation indexes based on the walking distance and path turning number of all stands, including the farthest / nearby walking distance stand, distance index, stand number ratio in the division interval, and turning number index. The specific evaluation index acquisition process is described in step 3 above, and will not be repeated here.

[0105] The judgment unit 204 is configured to judge whether the processing of all preset design schemes is completed, if yes, drive the evaluation unit 205 to work, otherwise change the current design scheme and input it to the preprocessing unit 201 to obtain the layout quantitative multi-dimensional evaluation indexes of the next design scheme. Different design schemes can be obtained through the process described in step 4 above, and will not be repeated here.

[0106] The evaluation unit 205 is configured to filter out the initial optimization scheme that meets the design target based on the layout quantitative multi-dimensional evaluation indexes of all design schemes. The specific filtering process is described in step 5 above, and will not be repeated here.

[0107] And the iterative optimization unit 206 is configured to perform directional iterative optimization on the initial optimization scheme to determine the optimal design scheme, and output the optimal design scheme data to the related platform for auxiliary design. The specific directional iterative optimization process is described in step 6 above, and will not be repeated here.

[0108] Based on the same technical concept, the embodiment of the present application also proposes a terminal building layout optimization device based on space structure auxiliary lines, as shown in the figure, the terminal building layout optimization device 200 includes: Figure 3

[0109] The input device 301, the output device 302, the processor A 303 and the memory A 304; wherein the number of the processor A 303 and the memory A 304 can be one or more,​​Figure 3 The following description uses a processor A303 and a memory A304 as an example. The input device 301, output device 302, processor A303, and memory A304 can be connected via a bus or other means. Figure 3 Taking the example of a connection between China and Israel via a bus.

[0110] Specifically, by calling the operation instructions stored in memory A304, processor A303 executes the following steps:

[0111] The core data of the terminal building were extracted and processed from the current design scheme, including data on different types of near-gate positions and spatial structure lines;

[0112] Walking path prediction is achieved based on spatial structure line mapping, and the walking distance and number of path turns corresponding to all camera positions are obtained.

[0113] Based on the walking distance and path turning number of all camera positions, a multi-dimensional evaluation index for layout quantification is obtained, including the farthest / nearest walking distance camera position, distance index, percentage of camera positions in the divided area, and turning number index.

[0114] Change the current design scheme, repeat the above process to obtain the layout quantification multi-dimensional evaluation index for the next design scheme, until the layout quantification multi-dimensional evaluation index for all preset design schemes is obtained.

[0115] Based on the layout quantification of all design schemes and multi-dimensional evaluation indicators, the initial optimization scheme that meets the design goals is selected.

[0116] The initial optimization scheme is subjected to targeted iterative optimization to determine the optimal design scheme, and the optimal design scheme data is output to the relevant platform for auxiliary design.

[0117] Optionally, by calling the operation instructions stored in memory A304, processor A303 is also used to execute any of the corresponding implementation methods in the above-described terminal layout optimization method.

[0118] Based on the same technical concept described above, this application also proposes an electronic device, such as... Figure 4 As shown, the electronic device 400 includes: a memory B410, a processor B420, and a computer program A411 stored in the memory B410 and executable on the processor B420. When the processor B420 executes the computer program A411, it performs the following steps:

[0119] The core data of the terminal building were extracted and processed from the current design scheme, including data on different types of near-gate positions and spatial structure lines;

[0120] Based on the space structure line mapping, walking path prediction is realized, and walking distances and path turning times corresponding to all positions are obtained.

[0121] Based on the walking distances and path turning times of all positions, layout quantitative multi-dimensional evaluation indexes are obtained, including the farthest / nearby walking distance position, distance index, proportion of the number of positions in the interval, and turning times index.

[0122] The current design scheme is changed, and the above process is repeated to obtain layout quantitative multi-dimensional evaluation indexes of the next design scheme, until layout quantitative multi-dimensional evaluation indexes of all preset design schemes are obtained.

[0123] Based on the layout quantitative multi-dimensional evaluation indexes of all design schemes, an initial optimization scheme meeting the design target is selected.

[0124] The initial optimization scheme is iteratively optimized to determine an optimal design scheme, and the optimal design scheme data is output to a related platform for auxiliary design.

[0125] Optionally, when the processor B420 executes the computer program A411, any implementation in the corresponding embodiments of the above terminal building layout optimization method can be realized.

[0126] It should be noted that the electronic device proposed in the embodiments of the present application is a device used to implement the above terminal building layout optimization method, and therefore based on the above terminal building layout optimization method proposed in the embodiments of the present application, those skilled in the art can understand the specific implementation of the electronic device of the embodiments of the present application and its various forms of changes, and therefore the specific implementation of the electronic device for implementing the above terminal building layout optimization method is not introduced in detail here, as long as the electronic device used to implement the above terminal building layout optimization method is implemented by those skilled in the art, it belongs to the scope of protection of the present application.

[0127] Based on the same technical concept, the embodiments of the present application also propose a computer readable storage medium, as shown in Figure 5 The computer readable storage medium 500 stores a computer program B511, and the computer program B511 is executed by a processor to realize the following steps:

[0128] The core data of the terminal building is extracted and processed from the current design scheme, including different types of near-position data and space structure lines;

[0129] Based on the space structure line mapping, walking path prediction is realized, and walking distances and path turning times corresponding to all positions are obtained.

[0130] Based on the walking distances and the path turning times of all the positions, layout quantitative multi-dimensional evaluation indexes are obtained, including the farthest / nearthest walking distance position, distance index, proportion of the number of positions in the interval, and turning times index;

[0131] The current design scheme is changed, and the layout quantitative multi-dimensional evaluation index acquisition of the next design scheme is repeated, until the layout quantitative multi-dimensional evaluation index acquisition of all the preset design schemes is completed.

[0132] Based on the layout quantitative multi-dimensional evaluation indexes of all the design schemes, an initial optimization scheme meeting the design target is screened out.

[0133] The initial optimization scheme is subjected to directional iterative optimization to determine an optimal design scheme, and the optimal design scheme data is output to a related platform for auxiliary design.

[0134] Optionally, the computer program B511, when executed by a processor, can implement any of the embodiments of the terminal layout optimization method.

[0135] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0136] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0137] The present application is described with reference to flowcharts and / or block diagrams according to the method, device (system), and computer program product of the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one flow or multiple flows and / or blocks Figure 1 The functions specified in one flow or multiple flows and / or blocks

[0138] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the flow Figure 1 The flow or flows and / or blocks Figure 1 The flow or flows and / or blocks

[0139] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions that execute on the computer or other programmable apparatus provide steps for implementing the flow Figure 1 The flow or flows and / or blocks Figure 1 The flow or flows and / or blocks

[0140] The specific implementation described above is illustrative and not limiting, and other implementations will be apparent to those skilled in the art in light of this disclosure. Persons skilled in the art will readily produce other variations from the foregoing description. Therefore, the scope of the application is not intended to be limited to the specific as described above, and one can make changes, substitutions and alterations in the flow or flows and / or blocks of the flow or flows without departing from the spirit and scope of this application in implementing the related technical solutions.

Claims

1. A terminal layout optimization method based on spatial structure auxiliary lines, characterized in that, include: The core data of the terminal building were extracted and processed from the current design scheme, including data on different types of near-gate positions and spatial structure lines; Based on the spatial structure line mapping, walking path prediction is realized to obtain the walking distance and path turning number corresponding to all camera positions; Based on the walking distance and path turning number of all camera positions, a multi-dimensional evaluation index for layout quantification is obtained, including the farthest / nearest walking distance camera position, distance index, percentage of camera positions in the divided area, and turning number index. Change the current design scheme, return to the steps of extracting and processing the core data of the terminal from the current design scheme, and obtain the layout quantification multi-dimensional evaluation index of the next design scheme until the layout quantification multi-dimensional evaluation index of all preset design schemes is obtained. Based on the layout quantification of all design schemes and multi-dimensional evaluation indicators, the initial optimization scheme that meets the design goals is selected. The initial optimization scheme is subjected to targeted iterative optimization to determine the optimal design scheme, and the optimal design scheme data is output to the relevant platform for auxiliary design. The preset design scheme is obtained as follows: Several different design schemes were obtained by changing key design variables, including: the number of concourses, different types of near-aircraft positions, and spatial structure lines. The aforementioned multi-dimensional evaluation index for layout quantification based on all design schemes is used to select initial optimized schemes that meet the design objectives, including: The design goals include: optimal user experience, resource efficiency, and expanded scenarios; Under the optimal experience objective, the distance index and number of turning points of each design scheme are standardized and weighted to obtain their corresponding comprehensive score, and the one with the highest score is used as the initial optimization scheme. Under the resource efficiency objective, the scheme with the largest total number of machine positions among the schemes that meet the specifications or project requirements for the furthest walking distance is selected as the initial optimization scheme; In the extended scenario, priority is given to meeting the special requirements, and then the qualified solutions are compared and selected as the initial optimization solutions.

2. The terminal layout optimization method based on spatial structure auxiliary lines according to claim 1, characterized in that, The core data of the terminal building extracted and processed from the current design scheme includes: Enter the design drawing corresponding to the current design scheme; Extract the number of various near-camera positions, their combination ratios, and the spatial layout of the camera positions from the design drawings; Extract the outer contour line of the terminal building from the design drawings and determine the starting and ending points of the spatial structure lines based on the outer contour line of the terminal building; Key node coordinate information is extracted from the design drawings to support the construction of the landside passenger flow line in the spatial structure line; The axes and combination relationships of the main building and concourse skeleton are extracted from the design drawings to support the construction of the passenger flow line on the airside of the spatial structure line; Based on the constructed landside passenger flow lines and airside passenger flow lines, the complete spatial structure line is obtained.

3. The terminal layout optimization method based on spatial structure auxiliary lines according to claim 1, characterized in that, The method of predicting walking paths based on the spatial structure line mapping includes: The spatial structure lines are mapped onto the digital model of the terminal building to ensure that the path reference is consistent with the actual scene; The mapped spatial structure lines serve as constraints to prevent the path from deviating from the physical boundary; The shortest pathfinding algorithm is used to generate a path that conforms to the actual walking logic; the path is from the entrance to each machine station. Based on the generated path, key parameters are calculated and output, including the walking distance at each station and the number of path turns.

4. The terminal layout optimization method based on spatial structure auxiliary lines according to claim 1, characterized in that, The aforementioned multi-dimensional evaluation index for layout quantification, based on the walking distance and path turning number of all camera positions, includes: The system uses sorting and extreme value filtering to identify the aircraft station and path corresponding to the longest walking distance from all aircraft stations, and also identifies the aircraft station and path corresponding to the shortest walking distance. Based on the walking distance of all camera positions, distance indicators are calculated, including average walking distance and weighted average distance; Based on the walking distance of all camera positions, the percentage of camera positions in each walking distance interval is calculated according to the preset interval distance. Based on the number of path turns for all camera positions, obtain the number of turns metrics, including the maximum number of turns, the average number of turns, and the weighted average number of turns.

5. The terminal layout optimization method based on spatial structure auxiliary lines according to claim 4, characterized in that, The average walking distance is calculated as follows: the sum of the walking distances of all aircraft stands is divided by the total number of aircraft stands to obtain the average walking distance; the weighted average distance is calculated as follows: first, the product of the walking distance of each aircraft stand and its corresponding number of passengers is calculated and summed to obtain the sum of the products of all aircraft stands, and then the sum of the products of all aircraft stands is divided by the sum of the number of passengers of all aircraft stands to obtain the weighted average walking distance. And / or, the percentage of the number of cameras in each walking distance interval is calculated as follows: divide the number of cameras in each walking distance interval by the total number of cameras, and multiply by 100% to obtain the percentage of the number of cameras in that walking distance interval. And / or, the method for obtaining the maximum number of turns is: to find the gate and path corresponding to the maximum number of turns from the path turns of all gates by sorting and extreme value filtering; the method for obtaining the average number of turns is: to obtain the average number of turns by dividing the sum of the number of turns of all gates by the total number of gates; the method for obtaining the weighted average number of turns is: first, to calculate the product of the number of turns of each gate and its corresponding number of passengers and sum them up to obtain the sum of the products of all gates, and then to divide the sum of the products of all gates by the sum of the number of passengers of all gates to obtain the weighted average number of turns.

6. A terminal layout optimization method based on spatial structure auxiliary lines according to any one of claims 1-5, characterized in that, The method of determining the optimal design scheme by performing targeted iterative optimization on the initial optimization scheme includes: Taking the bottleneck indicators in the initial optimization scheme as the target, the spatial structure line is fine-tuned or the distribution of different types of near-aircraft positions is optimized. After each fine-tuning or optimization, the corresponding layout quantitative multi-dimensional evaluation indicators are re-acquired to ensure that the bottleneck indicators are improved and other indicators do not change significantly. Repeat the above fine-tuning or adjustment process and layout quantification multi-dimensional evaluation index acquisition process until the number of iterations is reached or the shortcoming index meets the relevant requirements, then stop the loop and take the current solution as the optimal design solution.

7. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the terminal layout optimization method according to any one of claims 1-6.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the terminal layout optimization method according to any one of claims 1-6.

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