Method and device for analyzing heat load disturbance of personnel in a region

Abstract

The present invention discloses a method and device for analyzing heat load disturbance of personnel in a region, obtaining design data and design indicators of a target transportation hub; performing spatial analysis on the design data and design indicators to obtain multiple virtual space elements of the target transportation hub, connection relationships between all virtual space elements and virtual connection channels; establishing a virtual space topological relationship model matching the target transportation hub according to all virtual space elements, connection parameters between all virtual space elements and virtual connection channels; performing spatial syntax analysis on the virtual space topological relationship model to obtain personnel distribution probability data; predicting heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data, which can improve the analysis accuracy of the heat load disturbance of the target transportation hub, thereby improving the accuracy of air conditioning distribution design of the target transportation hub, and further improving the accuracy of temperature adjustment in the region and reducing the energy consumption of the air conditioning system.

Description

Technical Field

[0001] The present invention relates to the technical field of regional planning, and in particular to a method and a device for analyzing heat load disturbance of personnel in a region. Background Art

[0002] Air conditioning is often used to adjust the temperature of aviation hubs, especially in humid and hot areas. However, due to the harsh climatic conditions of humidity and heat, the annual energy consumption of air conditioning systems is higher than that of similar buildings in other areas. In addition, the traditional air conditioning system design method often only considers the area of ​​the air conditioning area and fixed functional parameters according to the requirements of the specifications, which can easily lead to insufficient consideration or waste of heat load in indoor spaces with large thermal disturbances of personnel.

[0003] In existing practical applications, when uneven indoor heat load occurs, the indoor heat load parameters of the main processes (such as ticketing, consignment, etc.) in the current area are often corrected through the measured data of the population density of the established aviation hub. However, it is found in practice that the indoor heat load disturbance analyzed by this method often deviates greatly from the actual situation, resulting in the inability to accurately adjust the temperature of the area, and it is still likely to generate high energy consumption. Therefore, it is particularly important to propose a technical solution on how to improve the analysis accuracy of indoor heat load disturbances in the design stage. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a method and device for analyzing the heat load disturbance of personnel in a region, which can improve the analysis accuracy of the temporal and spatial distribution of indoor heat load in the design stage.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses a method for analyzing heat load disturbance of personnel in a region, the method comprising:

[0006] Obtaining design data of a target transportation hub and design indicators of the target transportation hub;

[0007] Performing spatial analysis on the acquired design data and the design indicators to obtain a plurality of virtual space elements of the target transportation hub, connection relationships between all the virtual space elements, and virtual connection channels;

[0008] According to all the virtual space elements, the connection parameters between all the virtual space elements and the virtual connection channels, a virtual space topological relationship model matching the target transportation hub is established;

[0009] Performing space syntax analysis on the virtual space topological relationship model to obtain personnel distribution probability data of the target transportation hub;

[0010] The heat load disturbance distribution parameters of the target transportation hub are predicted according to the personnel distribution probability data, and the heat load disturbance distribution parameters are used as a basis for air conditioning design of the target transportation hub.

[0011] As an optional implementation, in the first aspect of the present invention, performing space syntax analysis on the virtual space topological relationship model to obtain the personnel distribution probability data of the target transportation hub includes:

[0012] Performing space syntax analysis on the virtual space topological relationship model to obtain a pixel map of the personnel density distribution of the target transportation hub;

[0013] Determine the color division gradient of the population density corresponding to the target transportation hub according to the design data, the design index and the pixel conditions in the population density distribution pixel map;

[0014] According to the personnel density color division gradient, the personnel density distribution pixel map is divided into personnel density areas to obtain personnel distribution probability data of a plurality of personnel distribution areas with different colors, and the personnel distribution probability data of the target transportation hub includes the personnel distribution probability data of all the personnel distribution areas;

[0015] The color corresponding to each of the personnel distribution areas is different, and for any of the personnel distribution areas, the darker the color corresponding to the personnel distribution area, the more or more concentrated the personnel are in the personnel distribution area.

[0016] As an optional implementation manner, in the first aspect of the present invention, predicting the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data includes:

[0017] Determine the personnel density of each of the personnel distribution areas according to the color corresponding to each of the personnel distribution areas;

[0018] According to the population density of each of the population distribution areas, all the population distribution areas are divided into regions to obtain at least two air-conditioning zones, and the population density of each of the air-conditioning zones is different from each other;

[0019] Performing color conversion on the data in each of the air-conditioning zones to obtain the heat load disturbance distribution parameter of each of the air-conditioning zones;

[0020] The heat load disturbance distribution parameters of the target transportation hub include the heat load disturbance distribution parameters of all the air-conditioning zones.

[0021] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0022] Performing spatial analysis on the design data, the design indicators and the virtual space topological relationship model to obtain the actual space size and actual space layout corresponding to each virtual space element;

[0023] Obtaining the climate parameters of each season in the area where the target transportation hub is located and the number of passengers corresponding to each season;

[0024] According to the climate parameters of each season and the number of passengers corresponding to the season, the actual space size and actual space layout corresponding to each virtual space element, the population density distribution pixel map of the target transportation hub is corrected to obtain a corrected population density distribution pixel map corresponding to the season, wherein the population density distribution pixel map of the target transportation hub includes the population density distribution pixel maps corresponding to all the seasons;

[0025] Wherein, the personnel density distribution pixel map is divided into personnel density areas according to the personnel density color division gradient to obtain personnel distribution probability data of a plurality of personnel distribution areas with different colors, including:

[0026] For any of the seasons, according to the personnel density color division gradient, the personnel density distribution pixel map corresponding to the season is divided into personnel density regions to obtain personnel distribution probability data for a plurality of personnel distribution regions with different colors corresponding to the season;

[0027] Wherein, determining the personnel density of each of the personnel distribution areas according to the color corresponding to each of the personnel distribution areas includes:

[0028] For any of the seasons, determining the population density of each of the population distribution areas according to the color corresponding to each of the population distribution areas corresponding to the season;

[0029] Wherein, according to the density of people in each of the people distribution areas, all the people distribution areas are divided into regions to obtain at least two air-conditioning zones, including:

[0030] According to the population density of all the population distribution areas in all the seasons, all the population distribution areas are divided into regions to obtain at least two air-conditioning zones.

[0031] As an optional implementation, in the first aspect of the present invention, after predicting the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data, the method further includes:

[0032] Determining a plurality of design parameter groups of the target transportation hub according to the heat load disturbance distribution parameters of the target transportation hub, wherein at least one parameter is different between any two of the design parameter groups;

[0033] For any of the design parameter groups, analyzing the energy-saving analysis results of the air-conditioning system in actual application after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group;

[0034] According to the energy-saving analysis results corresponding to each of the design parameter groups, a target design parameter group corresponding to the lowest energy consumption is determined from all the design parameter groups, and the parameters of the target design parameter group are used as the basis for the air conditioning design of the target transportation hub.

[0035] As an optional implementation, in the first aspect of the present invention, for any of the design parameter groups, analyzing the energy-saving analysis results of the air-conditioning system in actual application after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group includes:

[0036] Determine, according to the type of the target transportation hub, the design data and the design index, a plurality of energy-saving consideration parameters corresponding to the target transportation hub and a weight of each of the energy-saving consideration parameters, wherein the sum of the weights of all the energy-saving consideration parameters is equal to 1;

[0037] For any of the design parameter groups, analyzing the energy-saving analysis results corresponding to each of the energy-saving consideration parameters in actual application of the air-conditioning system after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group;

[0038] For any of the design parameter groups, the energy-saving analysis result corresponding to the design parameter group is analyzed according to the energy-saving analysis result corresponding to each of the energy-saving consideration parameters corresponding to the design parameter group and the weight of the energy-saving consideration parameter.

[0039] As an optional implementation, in the first aspect of the present invention, the design data includes the design drawings of the target transportation hub and all process facility points of the target transportation hub;

[0040] The design drawings of the target transportation hub include the plane design drawings of the target transportation hub and the space design drawings of the target transportation hub;

[0041] All the process facilities include the target transportation hub’s approach facilities, ticket check-in facilities, baggage check-in facilities, security check-in facilities, waiting facilities, and boarding facilities;

[0042] The design indicators include the passenger capacity design indicator of the target transportation hub and the passenger flow processing speed design indicator of the target transportation hub;

[0043] The parameters of any of the design parameter groups include one or more of air conditioning cooling capacity adjustment parameters, air conditioning distribution design parameters, and air conditioning operation adjustment parameters;

[0044] Wherein, the air conditioning distribution design parameters include the number of air conditioning distribution and the air conditioning distribution position;

[0045] The air conditioning operation adjustment parameters include one or more of an air conditioning set temperature adjustment parameter, an air conditioning outlet wind speed adjustment parameter, an air conditioning outlet direction adjustment parameter, and an air conditioning outlet size adjustment parameter;

[0046] The adjustment includes positive adjustment or negative adjustment.

[0047] The second aspect of the present invention discloses a device for analyzing heat load disturbance of people in a region, the device comprising:

[0048] An acquisition module, used to acquire design data of a target transportation hub and design indicators of the target transportation hub;

[0049] An analysis module, used to perform spatial analysis on the acquired design data and the design indicators to obtain a plurality of virtual space elements of the target transportation hub, connection relationships between all the virtual space elements, and virtual connection channels;

[0050] An establishment module, used to establish a virtual space topological relationship model matching the target transportation hub according to all the virtual space elements, connection parameters between all the virtual space elements and virtual connection channels;

[0051] The analysis module is further used to perform space syntax analysis on the virtual space topological relationship model to obtain the personnel distribution probability data of the target transportation hub;

[0052] A prediction module is used to predict the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data, and the heat load disturbance distribution parameters are used as a basis for air conditioning design of the target transportation hub.

[0053] As an optional implementation, in the second aspect of the present invention, the analysis module performs space syntax analysis on the virtual space topological relationship model, and the specific method of obtaining the personnel distribution probability data of the target transportation hub includes:

[0054] Performing space syntax analysis on the virtual space topological relationship model to obtain a pixel map of the personnel density distribution of the target transportation hub;

[0055] Determine the color division gradient of the population density corresponding to the target transportation hub according to the design data, the design index and the pixel conditions in the population density distribution pixel map;

[0056] According to the personnel density color division gradient, the personnel density distribution pixel map is divided into personnel density areas to obtain personnel distribution probability data of a plurality of personnel distribution areas with different colors, and the personnel distribution probability data of the target transportation hub includes the personnel distribution probability data of all the personnel distribution areas;

[0057] The color corresponding to each of the personnel distribution areas is different, and for any of the personnel distribution areas, the darker the color corresponding to the personnel distribution area, the more or more concentrated the personnel are in the personnel distribution area.

[0058] As an optional implementation, in the second aspect of the present invention, the prediction module predicts the specific manner of the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data, including:

[0059] Determine the personnel density of each of the personnel distribution areas according to the color corresponding to each of the personnel distribution areas;

[0060] According to the population density of each of the population distribution areas, all the population distribution areas are divided into regions to obtain at least two air-conditioning zones, and the population density of each of the air-conditioning zones is different from each other;

[0061] Performing color conversion on the data in each of the air-conditioning zones to obtain the heat load disturbance distribution parameter of each of the air-conditioning zones;

[0062] The heat load disturbance distribution parameters of the target transportation hub include the heat load disturbance distribution parameters of all the air-conditioning zones.

[0063] As an optional implementation, in the second aspect of the present invention, the analysis module is further used to perform spatial analysis on the design data, the design index and the virtual space topological relationship model to obtain the actual space size and actual space layout corresponding to each virtual space element;

[0064] The acquisition module is further used to acquire the climate parameters of each season in the area where the target transportation hub is located and the number of passengers corresponding to each season;

[0065] The device also includes:

[0066] A correction module is used to correct the population density distribution pixel map of the target transportation hub according to the climate parameters of each season and the number of passengers corresponding to the season, the actual space size and the actual space layout corresponding to each virtual space element, and obtain a corrected population density distribution pixel map corresponding to the season, wherein the population density distribution pixel map of the target transportation hub includes the population density distribution pixel maps corresponding to all the seasons;

[0067] The specific method of the analysis module dividing the personnel density distribution pixel map into personnel density areas according to the personnel density color division gradient to obtain personnel distribution probability data of a plurality of personnel distribution areas with different colors includes:

[0068] For any of the seasons, according to the personnel density color division gradient, the personnel density distribution pixel map corresponding to the season is divided into personnel density regions to obtain personnel distribution probability data for a plurality of personnel distribution regions with different colors corresponding to the season;

[0069] The specific method in which the prediction module determines the density of people in each of the personnel distribution areas according to the color corresponding to each of the personnel distribution areas includes:

[0070] For any of the seasons, determining the population density of each of the population distribution areas according to the color corresponding to each of the population distribution areas corresponding to the season;

[0071] The prediction module divides all the personnel distribution areas into regions according to the personnel density of each of the personnel distribution areas to obtain at least two air-conditioning zones, including:

[0072] According to the population density of all the population distribution areas in all the seasons, all the population distribution areas are divided into regions to obtain at least two air-conditioning zones.

[0073] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0074] a determination module, configured to determine a plurality of design parameter groups of the target transportation hub according to the heat load disturbance distribution parameters of the target transportation hub after the prediction module predicts the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data, wherein at least one parameter is different between any two of the design parameter groups;

[0075] The analysis module is further used to analyze, for any of the design parameter groups, energy-saving analysis results of the air-conditioning system in actual application after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group;

[0076] The determination module is also used to determine the target design parameter group corresponding to the lowest energy consumption from all the design parameter groups according to the energy-saving analysis results corresponding to each of the design parameter groups, and the parameters of the target design parameter group are used as the basis for the air conditioning design of the target transportation hub.

[0077] As an optional implementation, in the second aspect of the present invention, the specific manner in which the analysis module analyzes, for any of the design parameter groups, the energy-saving analysis results of the air-conditioning system in actual application after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group includes:

[0078] Determine, according to the type of the target transportation hub, the design data and the design index, a plurality of energy-saving consideration parameters corresponding to the target transportation hub and a weight of each of the energy-saving consideration parameters, wherein the sum of the weights of all the energy-saving consideration parameters is equal to 1;

[0079] For any of the design parameter groups, analyzing the energy-saving analysis results corresponding to each of the energy-saving consideration parameters in actual application of the air-conditioning system after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group;

[0080] For any of the design parameter groups, the energy-saving analysis result corresponding to the design parameter group is analyzed according to the energy-saving analysis result corresponding to each of the energy-saving consideration parameters corresponding to the design parameter group and the weight of the energy-saving consideration parameter.

[0081] As an optional implementation, in the second aspect of the present invention, the design data includes the design drawings of the target transportation hub and all process facility points of the target transportation hub;

[0082] The design drawings of the target transportation hub include the plane design drawings of the target transportation hub and the space design drawings of the target transportation hub;

[0083] All the process facilities include the target transportation hub’s approach facilities, ticket check-in facilities, baggage check-in facilities, security check-in facilities, waiting facilities, and boarding facilities;

[0084] The design indicators include the passenger capacity design indicator of the target transportation hub and the passenger flow processing speed design indicator of the target transportation hub;

[0085] The parameters of any of the design parameter groups include one or more of air conditioning cooling capacity adjustment parameters, air conditioning distribution design parameters, and air conditioning operation adjustment parameters;

[0086] Wherein, the air conditioning distribution design parameters include the number of air conditioning distribution and the air conditioning distribution position;

[0087] The air conditioning operation adjustment parameters include one or more of an air conditioning set temperature adjustment parameter, an air conditioning outlet wind speed adjustment parameter, an air conditioning outlet direction adjustment parameter, and an air conditioning outlet size adjustment parameter;

[0088] The adjustment includes positive adjustment or negative adjustment.

[0089] The third aspect of the present invention discloses another device for analyzing heat load disturbance of people in a region, the device comprising:

[0090] A memory storing executable program code;

[0091] a processor coupled to the memory;

[0092] The processor calls the executable program code stored in the memory to execute the method for analyzing the heat load disturbance of people in the area disclosed in the first aspect of the present invention.

[0093] The fourth aspect of the present invention discloses a computer-readable storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the method for analyzing the heat load disturbance of personnel in the area disclosed in the first aspect of the present invention.

[0094] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0095] In an embodiment of the present invention, design data of a target transportation hub and design indicators of the target transportation hub are obtained; spatial analysis is performed on the obtained design data and design indicators to obtain multiple virtual space elements of the target transportation hub, connection relationships between all virtual space elements, and virtual connection channels; a virtual space topological relationship model matching the target transportation hub is established based on all virtual space elements, connection parameters between all virtual space elements, and virtual connection channels; spatial syntax analysis is performed on the virtual space topological relationship model to obtain personnel distribution probability data of the target transportation hub; based on the personnel distribution probability data, the heat load disturbance distribution parameters of the target transportation hub are predicted, which can improve the analysis accuracy of the heat load disturbance of the target transportation hub, thereby improving the accuracy of the air conditioning distribution design of the target transportation hub, and then improving the accuracy of temperature adjustment in the area and reducing energy consumption and carbon emissions of the air conditioning system. BRIEF DESCRIPTION OF THE DRAWINGS

[0096] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0097] Figure 1 It is a flow chart of a method for analyzing heat load disturbance of personnel in a region disclosed in an embodiment of the present invention;

[0098] Figure 2 is a schematic diagram of the probability of personnel distribution in different personnel distribution areas disclosed in an embodiment of the present invention;

[0099] Figure 3 is a schematic diagram of heat load disturbance distribution of different air-conditioning division areas disclosed in an embodiment of the present invention;

[0100] Figure 4 It is a structural schematic diagram of a device for analyzing heat load disturbance of personnel in a region disclosed in an embodiment of the present invention;

[0101] Figure 5 It is a structural schematic diagram of another device for analyzing heat load disturbance of personnel in a region disclosed in an embodiment of the present invention;

[0102] Figure 6 It is a structural schematic diagram of another device for analyzing heat load disturbance of people in a region disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0103] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0104] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0105] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0106] The present invention discloses a method and device for analyzing the heat load disturbance of personnel in a region, by obtaining the design data of a target transportation hub and the design index of the target transportation hub; performing spatial analysis on the obtained design data and design index to obtain multiple virtual space elements of the target transportation hub, the connection relationship between all virtual space elements and the virtual connection channels; establishing a virtual space topological relationship model matching the target transportation hub according to all virtual space elements, the connection parameters between all virtual space elements and the virtual connection channels; performing spatial syntax analysis on the virtual space topological relationship model to obtain the personnel distribution probability data of the target transportation hub; predicting the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data, which can improve the analysis accuracy of the heat load disturbance of the target transportation hub, thereby improving the accuracy of the air conditioning distribution design of the target transportation hub, and then improving the adjustment accuracy of the temperature in the region and reducing the energy consumption and carbon emissions of the air conditioning system. The following are detailed descriptions.

[0107] Embodiment 1

[0108] See also Figure 1 , Figure 1 1 is a flow chart of a method for analyzing heat load disturbance of personnel in a region disclosed in an embodiment of the present invention. Figure 1 The method for analyzing the heat load disturbance of people in the area described can be applied to any transportation hub scenario that requires air conditioning design, wherein the transportation hub scenario includes one of an airplane passenger transport scenario, a bus passenger transport scenario, a ship passenger transport scenario, and a train passenger transport scenario. Figure 1 As shown, the method for analyzing the heat load disturbance of personnel in the area may include the following operations:

[0109] 101. Obtain the design data and design indicators of the target transportation hub.

[0110] In an embodiment of the present invention, the design data includes design drawings of the target transportation hub and data of all process facility points of the target transportation hub; wherein, the design drawings of the target transportation hub include plane design drawings of the target transportation hub and space design drawings of the target transportation hub; all process facility points include approach facility points, ticket check-in facility points, baggage check-in facility points, security check-in facility points, waiting facility points, and boarding facility points of the target transportation hub; design indicators include passenger capacity design indicators of the target transportation hub and passenger process processing speed design indicators of the target transportation hub (such as passenger ticket check-in speed design indicators of ticket check-in facility points, passenger security check speed design indicators of security check facility points, etc.), wherein, when the transportation hub scenario corresponding to the embodiment of the present invention is an aircraft passenger transport scenario, the data of all process facility points specifically include information such as the layout of main functional buildings such as the terminal main building, terminal concourse, and transportation center, traffic flow lines between them, entrance and exit locations, and distribution of internal functional areas.

[0111] 102. Perform spatial analysis on the acquired design data and design indicators to obtain multiple virtual space elements of the target transportation hub, the connection relationship between all virtual space elements, and virtual connection channels.

[0112] 103. Based on all virtual space elements, connection parameters between all virtual space elements and virtual connection channels, a virtual space topological relationship model matching the target transportation hub is established.

[0113] In the embodiment of the present invention, the virtual space topological relationship model is used to reflect the relative positions, connection modes and connection channels between the actual space elements of the target transportation hub, wherein the virtual space elements correspond to the above-mentioned process facility points.

[0114] 104. Perform spatial syntax analysis on the virtual space topological relationship model to obtain the personnel distribution probability data of the target transportation hub; based on the personnel distribution probability data, predict the heat load disturbance distribution parameters of the target transportation hub, and the heat load disturbance distribution parameters are used as the basis for the air conditioning design of the target transportation hub, and further, are also used as the basis for the air conditioning operation of the target transportation hub.

[0115] It can be seen that the implementation of the present invention is to obtain the design data of the target transportation hub and the design indicators of the target transportation hub; perform spatial analysis on the obtained design data and design indicators to obtain multiple virtual space elements of the target transportation hub, the connection relationship between all virtual space elements and the virtual connection channels; establish a virtual space topological relationship model that matches the target transportation hub according to all virtual space elements, the connection parameters between all virtual space elements and the virtual connection channels; perform spatial syntax analysis on the virtual space topological relationship model to obtain the personnel distribution probability data of the target transportation hub; predict the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data, which can improve the analysis accuracy of the heat load disturbance of the target transportation hub, thereby improving the accuracy of the air-conditioning distribution design of the target transportation hub, and then improving the accuracy of temperature adjustment in the area and reducing the energy consumption and carbon emissions of the air-conditioning system.

[0116] In the embodiment of the present invention, optionally, a spatial syntax analysis is performed on the spatial topological relationship model to obtain the personnel distribution probability data of the target transportation hub, including:

[0117] Perform space syntax analysis on the virtual space topological relationship model to obtain the pixel map of the personnel density distribution of the target transportation hub;

[0118] According to the design data, design indicators and the pixel conditions in the pixel map of the population density distribution, the color division gradient of the population density corresponding to the target transportation hub is determined, for example, 10% is used as a gradient, and it can be divided into ten different color gradients;

[0119] According to the personnel density color division gradient, the personnel density distribution pixel map is divided into personnel density areas to obtain personnel distribution probability data of multiple personnel distribution areas with different colors. The personnel distribution probability data of the target transportation hub includes the personnel distribution probability data of all personnel distribution areas;

[0120] Each personnel distribution area has a different color, and for any personnel distribution area, the darker the color, the more people there are or the more concentrated they are. Figure 2 , Figure 2 It is a schematic diagram of the probability of personnel distribution in different personnel distribution areas disclosed in an embodiment of the present invention.

[0121] In the embodiment of the present invention, the spatial syntax can be a data analysis model, or it can be analysis software that carries the data analysis model, such as Depthmap analysis software, as long as it can analyze the personnel distribution probability data of the target transportation hub.

[0122] It can be seen that this embodiment uses spatial syntax to perform visual depth and crowd flow simulation predictions on indoor personnel in transportation hubs, and divides the personnel density distribution pixel map into different color gradients based on the design data and design indicators of the transportation hub and the pixel conditions in the personnel density distribution pixel map predicted based on spatial syntax. This can improve the prediction accuracy of the personnel distribution probability data of the transportation hub, thereby facilitating improving the accuracy and reliability of the analysis of the heat load disturbance distribution parameters indoors in the transportation hub.

[0123] In the embodiment of the present invention, optionally, predicting the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data includes:

[0124] According to the color corresponding to each personnel distribution area, determine the personnel density of each personnel distribution area;

[0125] According to the population density of each population distribution area, all the population distribution areas are divided into regions to obtain at least two air-conditioning zones, and the population density of each air-conditioning zone is different from each other;

[0126] Perform color conversion on the data (pixels) in each air-conditioning zone to obtain the heat load disturbance distribution parameters of each air-conditioning zone;

[0127] The heat load disturbance distribution parameters of the target transportation hub include the heat load disturbance distribution parameters of all air-conditioning zones.

[0128] In the embodiment of the present invention, optionally, the population density may include a population-dense area (such as a 90% density area) and a general population distribution area (such as a 10% density area). The color conversion may be performed directly through a color conversion model or through image processing software that carries a color conversion model. Figure 3 As shown, Figure 3 It is a schematic diagram of heat load disturbance distribution in different air-conditioning zones disclosed in an embodiment of the present invention.

[0129] It can be seen that the embodiment of the present invention can also finely divide the personnel distribution area into air-conditioned areas according to the personnel density of each personnel distribution area, and convert the colors of the pixels of each air-conditioned zone, so as to realize the visualization of each air-conditioned zone and accurately predict the heat load disturbance distribution parameters of the transportation hub.

[0130] In an optional embodiment, the method may further include the following steps:

[0131] Perform spatial analysis on design data, design indicators and virtual space topological relationship models to obtain the actual space size and actual space layout corresponding to each virtual space element;

[0132] Obtain the climate parameters of each season in the area where the target transportation hub is located and the number of passengers corresponding to each season;

[0133] According to the climate parameters of each season and the number of passengers corresponding to the season, the actual space size and actual space layout corresponding to each virtual space element, the population density distribution pixel map of the target transportation hub is corrected to obtain a corrected population density distribution pixel map corresponding to the season, wherein the population density distribution pixel map of the target transportation hub includes the population density distribution pixel maps corresponding to all seasons;

[0134] Among them, according to the personnel density color division gradient, the personnel density distribution pixel map is divided into personnel density areas, and the personnel distribution probability data of multiple personnel distribution areas with different colors are obtained, including:

[0135] For any season, according to the personnel density color division gradient, the personnel density distribution pixel map corresponding to the season is divided into personnel density areas, and the personnel distribution probability data of multiple personnel distribution areas with different colors corresponding to the season are obtained;

[0136] Among them, according to the color corresponding to each personnel distribution area, the personnel density of each personnel distribution area is determined, including:

[0137] For any season, the personnel density of each personnel distribution area is determined according to the color corresponding to each personnel distribution area corresponding to the season;

[0138] According to the density of people in each personnel distribution area, all personnel distribution areas are divided into regions to obtain at least two air-conditioning zones, including:

[0139] According to the population density of all the population distribution areas in all the seasons, all the population distribution areas are divided into regions to obtain at least two air-conditioning zones.

[0140] In this optional embodiment, the climate parameters of each season include one or more of temperature changes, humidity changes, rainfall changes, and wind changes.

[0141] It can be seen that this optional embodiment corrects the above-mentioned population density distribution pixel map according to the climate of each season in the area where the transportation hub is located and the actual space size and actual space layout corresponding to the virtual space elements, which can further improve the determination accuracy of the population density distribution pixel map, thereby facilitating further improving the analysis accuracy of the population distribution probability data of the transportation hub in each season, and further facilitating further improving the accuracy of the division of air-conditioning zones, improving the prediction accuracy of heat load disturbance distribution parameters, improving the accuracy of air-conditioning design and operation, and reducing air-conditioning energy consumption.

[0142] In another optional embodiment, after predicting the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data, the method may further include the following steps:

[0143] According to the heat load disturbance distribution parameters of the target transportation hub, multiple design parameter groups of the target transportation hub are determined, and there is at least one different parameter between any two design parameter groups;

[0144] For any design parameter group, analyze the energy-saving analysis results of the air-conditioning system in actual application after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group;

[0145] According to the energy-saving analysis results corresponding to each design parameter group, a target design parameter group corresponding to the lowest energy consumption is determined from all design parameter groups. The parameters of the target design parameter group are used as the basis for the air conditioning design of the target transportation hub.

[0146] In this optional embodiment, the parameters of any design parameter group include one or more of the following: air conditioning cooling capacity adjustment parameters, air conditioning distribution design parameters, and air conditioning operation adjustment parameters; wherein the air conditioning distribution design parameters include the number of air conditioning distribution and the air conditioning distribution position; the air conditioning operation adjustment parameters include one or more of the following: air conditioning set temperature adjustment parameters, air conditioning outlet wind speed adjustment parameters, air conditioning outlet direction adjustment parameters, and air conditioning outlet size adjustment parameters; wherein the adjustment includes positive adjustment or negative adjustment. Specifically, the air conditioning condensation amount is positively adjusted to increase the air conditioning condensation amount, and negatively adjusted to reduce the air conditioning condensation amount; the air conditioning set temperature is positively adjusted to increase the temperature, and negatively adjusted to reduce the temperature; the air conditioning outlet wind speed is positively adjusted to increase the wind speed, and negatively adjusted to reduce the wind speed; the air conditioning outlet direction is positively adjusted to reduce the angle between the direction of the air conditioning outlet with the air conditioning location as the center and the area where the flow of people is to be blown, and negative adjustment increases the angle; the air conditioning outlet size is positively adjusted to increase the outlet, and negatively adjusted to reduce the outlet.

[0147] It can be seen that this optional embodiment designs air conditioning with different design parameter combinations according to the heat load disturbance distribution parameters of the area where the transportation hub is located, and can accurately determine the air conditioning design with the lowest energy consumption, thereby significantly reducing the heat load of the air conditioning system in the area where the transportation hub is located without affecting the comfort of people in densely populated areas.

[0148] In another optional embodiment, for any design parameter group, analyzing the energy-saving analysis results of the air-conditioning system in actual application after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group includes:

[0149] According to the type, design data and design indicators of the target transportation hub, multiple energy-saving consideration parameters corresponding to the target transportation hub and the weight of each energy-saving consideration parameter are determined, and the sum of the weights of all energy-saving consideration parameters is equal to 1;

[0150] For any design parameter group, analyze the energy-saving analysis results corresponding to each energy-saving consideration parameter in actual application of the air-conditioning system after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group;

[0151] For any design parameter group, the energy-saving analysis result corresponding to the design parameter group is analyzed according to the energy-saving analysis result corresponding to each energy-saving consideration parameter corresponding to the design parameter group and the weight of the energy-saving consideration parameter.

[0152] In this optional embodiment, the type of the target transportation hub includes one of an airplane type, a car type, a ship type, and a motor vehicle type. Optionally, all energy-saving consideration parameters include, but are not limited to, one or more of the thermal parameters of the enclosure structure, the total annual energy consumption, and the energy consumption per unit area.

[0153] It can be seen that this optional embodiment can also first assign corresponding weights to each energy-saving consideration parameter according to the type of transportation hub applied and the design data and design indicators obtained above, and then combine the corresponding energy-saving analysis results to comprehensively analyze the energy saving of the corresponding design parameter group to obtain the optimal design parameter combination, thereby further improving the accuracy and reliability of determining the air-conditioning design with the lowest energy consumption.

[0154] Embodiment 2

[0155] See also Figure 4 , Figure 4 Schematic diagram of a device for analyzing heat load disturbance of people in a region disclosed in an embodiment of the present invention. Figure 4 The device for analyzing the heat load disturbance of people in a region can be applied to any transportation hub scenario that requires air conditioning design, wherein the transportation hub scenario includes one of an airplane passenger transport scenario, a bus passenger transport scenario, a ship passenger transport scenario, and a train passenger transport scenario. Figure 4 As shown, the device for analyzing the heat load disturbance of personnel in the area may include:

[0156] An acquisition module 201 is used to acquire design data and design indicators of a target transportation hub;

[0157] The analysis module 202 is used to perform spatial analysis on the acquired design data and design indicators to obtain multiple virtual space elements of the target transportation hub, the connection relationship between all virtual space elements, and virtual connection channels;

[0158] Establishing module 203, for establishing a virtual space topological relationship model matching the target transportation hub according to all virtual space elements, connection parameters between all virtual space elements and virtual connection channels;

[0159] The analysis module 202 is also used to perform space syntax analysis on the virtual space topological relationship model to obtain the personnel distribution probability data of the target transportation hub;

[0160] The prediction module 204 is used to predict the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data. The heat load disturbance distribution parameters are used as the basis for the air conditioning design of the target transportation hub.

[0161] In an embodiment of the present invention, the design data includes the design drawings of the target transportation hub and all process facility points of the target transportation hub;

[0162] The design drawings of the target transportation hub include the plane design drawings of the target transportation hub and the space design drawings of the target transportation hub;

[0163] All the process facilities include the target transportation hub’s approach facilities, ticket check-in facilities, baggage check-in facilities, security check-in facilities, waiting facilities, and boarding facilities;

[0164] The design indicators include the passenger capacity design indicator of the target transportation hub and the passenger flow processing speed design indicator of the target transportation hub;

[0165] The parameters of any of the design parameter groups include one or more of air conditioning cooling capacity adjustment parameters, air conditioning distribution design parameters, and air conditioning operation adjustment parameters;

[0166] Wherein, the air conditioning distribution design parameters include the number of air conditioning distribution and the air conditioning distribution position;

[0167] The air conditioning operation adjustment parameters include one or more of an air conditioning set temperature adjustment parameter, an air conditioning outlet wind speed adjustment parameter, an air conditioning outlet direction adjustment parameter, and an air conditioning outlet size adjustment parameter;

[0168] The adjustment includes positive adjustment or negative adjustment.

[0169] In an embodiment of the present invention, the design data includes design drawings of the target transportation hub and data of all process facility points of the target transportation hub; wherein, the design drawings of the target transportation hub include plane design drawings of the target transportation hub and space design drawings of the target transportation hub; all process facility points include approach facility points, ticket check-in facility points, baggage check-in facility points, security check-in facility points, waiting facility points, and boarding facility points of the target transportation hub; design indicators include passenger capacity design indicators of the target transportation hub and passenger process processing speed design indicators of the target transportation hub (such as passenger ticket check-in speed design indicators of ticket check-in facility points, passenger security check speed design indicators of security check facility points, etc.), wherein, when the transportation hub scenario corresponding to the embodiment of the present invention is an aircraft passenger transport scenario, the data of all process facility points specifically include information such as the layout of main functional buildings such as the terminal main building, terminal concourse, and transportation center, traffic flow lines between them, entrance and exit locations, and distribution of internal functional areas.

[0170] It can be seen that implementation Figure 4 The described device obtains the design data of a target transportation hub and the design indicators of the target transportation hub; performs spatial analysis on the obtained design data and design indicators to obtain multiple virtual space elements of the target transportation hub, the connection relationships between all virtual space elements, and virtual connection channels; establishes a virtual space topological relationship model that matches the target transportation hub based on all virtual space elements, the connection parameters between all virtual space elements, and the virtual connection channels; performs spatial syntax analysis on the virtual space topological relationship model to obtain personnel distribution probability data of the target transportation hub; predicts the heat load disturbance distribution parameters of the target transportation hub based on the personnel distribution probability data, which can improve the analysis accuracy of the heat load disturbance of the target transportation hub, thereby improving the accuracy of the air conditioning distribution design of the target transportation hub, and further improving the accuracy of temperature adjustment in the area and reducing the energy consumption of the air conditioning system.

[0171] In the embodiment of the present invention, optionally, the analysis module 202 performs space syntax analysis on the spatial topological relationship model, and the specific method of obtaining the personnel distribution probability data of the target transportation hub includes:

[0172] Perform space syntax analysis on the virtual space topological relationship model to obtain the pixel map of the personnel density distribution of the target transportation hub;

[0173] According to the design data, design indicators and the pixel conditions in the pixel map of the population density distribution, the color division gradient of the population density corresponding to the target transportation hub is determined, for example, 10% is used as a gradient, and it can be divided into ten different color gradients;

[0174] According to the personnel density color division gradient, the personnel density distribution pixel map is divided into personnel density areas to obtain personnel distribution probability data of multiple personnel distribution areas with different colors. The personnel distribution probability data of the target transportation hub includes the personnel distribution probability data of all personnel distribution areas;

[0175] The color corresponding to each personnel distribution area is different, and for any personnel distribution area, the darker the color corresponding to the personnel distribution area, the more or more concentrated the personnel are in the personnel distribution area.

[0176] In the embodiment of the present invention, the spatial syntax can be a data analysis model, or it can be analysis software that carries the data analysis model, such as Depthmap analysis software, as long as it can analyze the personnel distribution probability data of the target transportation hub.

[0177] It can be seen that implementation Figure 4 The described device can also use spatial syntax to simulate and predict the visual depth and flow of people indoors in a transportation hub, and divide the people density distribution pixel map into different color gradients based on the design data and design indicators of the transportation hub and the pixel conditions in the people density distribution pixel map predicted based on spatial syntax. This can improve the prediction accuracy of the people distribution probability data of the transportation hub, thereby helping to improve the accuracy and reliability of the analysis of the heat load disturbance distribution parameters indoors in the transportation hub.

[0178] In the embodiment of the present invention, optionally, the prediction module 204 predicts the specific manner of the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data, including:

[0179] According to the color corresponding to each personnel distribution area, determine the personnel density of each personnel distribution area;

[0180] According to the population density of each population distribution area, all the population distribution areas are divided into regions to obtain at least two air-conditioning zones, and the population density of each air-conditioning zone is different from each other;

[0181] Perform color conversion on the data (pixels) in each air-conditioning zone to obtain the heat load disturbance distribution parameters of each air-conditioning zone;

[0182] The heat load disturbance distribution parameters of the target transportation hub include the heat load disturbance distribution parameters of all air-conditioning zones.

[0183] It can be seen that implementation Figure 4The described device can also finely divide the personnel distribution area into air-conditioned areas according to the population density of each personnel distribution area, and convert the colors of the pixels of each air-conditioned zone, thereby realizing the visualization of each air-conditioned zone and accurately predicting the heat load disturbance distribution parameters of the transportation hub.

[0184] In an optional embodiment, the analysis module 202 is further used to perform spatial analysis on the design data, design indicators and virtual space topological relationship model to obtain the actual space size and actual space layout corresponding to each virtual space element;

[0185] The acquisition module 201 is also used to obtain the climate parameters of each season in the area where the target transportation hub is located and the number of passengers corresponding to each season;

[0186] like Figure 5 As shown, Figure 5 is a schematic diagram of the structure of another device for analyzing the heat load disturbance of personnel in a region disclosed in an embodiment of the present invention, such as Figure 5 As shown, the device also includes:

[0187] The correction module 205 is used to correct the population density distribution pixel map of the target transportation hub according to the climate parameters of each season and the number of passengers corresponding to the season, the actual space size and the actual space layout corresponding to each virtual space element, and obtain the corrected population density distribution pixel map corresponding to the season, wherein the population density distribution pixel map of the target transportation hub includes the population density distribution pixel maps corresponding to all seasons;

[0188] The specific method of the analysis module 202 dividing the personnel density distribution pixel map into personnel density regions according to the personnel density color division gradient, and obtaining the personnel distribution probability data of a plurality of personnel distribution regions with different colors includes:

[0189] For any season, according to the personnel density color division gradient, the personnel density distribution pixel map corresponding to the season is divided into personnel density areas, and the personnel distribution probability data of multiple personnel distribution areas with different colors corresponding to the season are obtained;

[0190] The specific method in which the prediction module 204 determines the density of people in each personnel distribution area according to the color corresponding to each personnel distribution area includes:

[0191] For any season, the personnel density of each personnel distribution area is determined according to the color corresponding to each personnel distribution area corresponding to the season;

[0192] The prediction module 204 divides all personnel distribution areas into regions according to the personnel density of each personnel distribution area, and obtains at least two air-conditioning zones in a specific manner, including:

[0193] According to the population density of all the population distribution areas in all the seasons, all the population distribution areas are divided into regions to obtain at least two air-conditioning zones.

[0194] It can be seen that implementation Figure 5 The described device can correct the aforementioned population density distribution pixel map according to the climate of each season in the area where the transportation hub is located and the actual space size and actual space layout corresponding to the virtual space elements, which can further improve the accuracy of determining the population density distribution pixel map, thereby facilitating further improving the accuracy of analyzing the probability data of population distribution in the transportation hub in each season, and further facilitating further improving the accuracy of the division of air-conditioning zones, improving the accuracy of predicting heat load disturbance distribution parameters, improving the accuracy of air-conditioning design and operation, and reducing air-conditioning energy consumption.

[0195] In another optional embodiment, Figure 5 As shown, the device also includes:

[0196] A determination module 206 is used to determine a plurality of design parameter groups of the target transportation hub according to the heat load disturbance distribution parameters of the target transportation hub after the prediction module 204 predicts the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data, wherein at least one parameter is different between any two design parameter groups;

[0197] The analysis module 202 is further used to analyze, for any design parameter group, the energy-saving analysis result of the air-conditioning system in actual application after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group;

[0198] The determination module 206 is also used to determine the target design parameter group corresponding to the lowest energy consumption from all design parameter groups according to the energy-saving analysis results corresponding to each design parameter group. The parameters of the target design parameter group are used as the basis for the air conditioning design of the target transportation hub.

[0199] In this optional embodiment, the parameters of any design parameter group include one or more of the following: air conditioning cooling capacity adjustment parameters, air conditioning distribution design parameters, and air conditioning operation adjustment parameters; wherein the air conditioning distribution design parameters include the number of air conditioning distribution and the air conditioning distribution position; the air conditioning operation adjustment parameters include one or more of the following: air conditioning set temperature adjustment parameters, air conditioning outlet wind speed adjustment parameters, air conditioning outlet direction adjustment parameters, and air conditioning outlet size adjustment parameters; wherein the adjustment includes positive adjustment or negative adjustment. Specifically, the air conditioning condensation amount is positively adjusted to increase the air conditioning condensation amount, and negatively adjusted to reduce the air conditioning condensation amount; the air conditioning set temperature is positively adjusted to increase the temperature, and negatively adjusted to reduce the temperature; the air conditioning outlet wind speed is positively adjusted to increase the wind speed, and negatively adjusted to reduce the wind speed; the air conditioning outlet direction is positively adjusted to reduce the angle between the direction of the air conditioning outlet with the air conditioning location as the center and the area where the flow of people is to be blown, and negative adjustment increases the angle; the air conditioning outlet size is positively adjusted to increase the outlet, and negatively adjusted to reduce the outlet.

[0200] It can be seen that implementation Figure 5 The described device can also perform air conditioning design with different design parameter combinations according to the heat load disturbance distribution parameters of the area where the transportation hub is located, and can accurately determine the air conditioning design with the lowest energy consumption, thereby significantly reducing the heat load of the air conditioning system in the area where the transportation hub is located without affecting the comfort of people in densely populated areas.

[0201] In this optional embodiment, optionally, the analysis module 202 analyzes, for any design parameter group, a specific method of analyzing the energy-saving analysis result of the air-conditioning system in actual application after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group, including:

[0202] According to the type, design data and design indicators of the target transportation hub, multiple energy-saving consideration parameters corresponding to the target transportation hub and the weight of each energy-saving consideration parameter are determined, and the sum of the weights of all energy-saving consideration parameters is equal to 1;

[0203] For any design parameter group, analyze the energy-saving analysis results corresponding to each energy-saving consideration parameter in actual application of the air-conditioning system after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group;

[0204] For any design parameter group, the energy-saving analysis result corresponding to the design parameter group is analyzed according to the energy-saving analysis result corresponding to each energy-saving consideration parameter corresponding to the design parameter group and the weight of the energy-saving consideration parameter.

[0205] In this optional embodiment, the type of the target transportation hub includes one of an airplane type, a car type, a ship type, and a motor vehicle type. Optionally, all energy-saving consideration parameters include, but are not limited to, one or more of the thermal parameters of the enclosure structure, the total annual energy consumption, and the energy consumption per unit area.

[0206] It can be seen that implementation Figure 5 The described device can also first assign corresponding weights to each energy-saving consideration parameter according to the type of transportation hub used and the design data and design indicators obtained above, and then combine the corresponding energy-saving analysis results to comprehensively analyze the energy saving of the corresponding design parameter group to obtain the optimal design parameter combination, thereby further improving the accuracy and reliability of determining the air-conditioning design with the lowest energy consumption.

[0207] Embodiment 3

[0208] See also Figure 6 , Figure 6 is a schematic diagram of the structure of another device for analyzing the heat load disturbance of people in a region disclosed in an embodiment of the present invention. The device can be applied to any transportation hub scenario that requires air conditioning design, wherein the transportation hub scenario includes one of an airplane passenger transport scenario, a bus passenger transport scenario, a ship passenger transport scenario, and a high-speed train passenger transport scenario. Figure 6 As shown, the device for analyzing the heat load disturbance of personnel in the area may include:

[0209] A memory 301 storing executable program codes;

[0210] a processor 302 coupled to the memory 301;

[0211] The processor 302 calls the executable program code stored in the memory 301 to execute the steps of the method for analyzing the heat load disturbance of personnel in the area described in the first embodiment of the present invention.

[0212] Embodiment 4

[0213] An embodiment of the present invention discloses a computer-readable storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps of the method for analyzing heat load disturbance of personnel in a region described in the first embodiment of the present invention.

[0214] Embodiment 5

[0215] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the method for analyzing heat load disturbance of personnel in an area described in embodiment 1.

[0216] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0217] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0218] Finally, it should be noted that the method and device for analyzing the heat load disturbance of personnel in an area disclosed in the embodiment of the present invention disclose only the preferred embodiments of the present invention, which are only used to illustrate the technical scheme of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical schemes recorded in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical schemes from the spirit and scope of the technical schemes of the various embodiments of the present invention.

Claims

1. A method for analyzing heat load disturbance of people in an area, characterized in that: Obtaining design data of a target transportation hub and design indicators of the target transportation hub; Performing spatial analysis on the acquired design data and the design indicators to obtain a plurality of virtual space elements of the target transportation hub, connection relationships between all the virtual space elements, and virtual connection channels; According to all the virtual space elements, the connection parameters between all the virtual space elements and the virtual connection channels, a virtual space topological relationship model matching the target transportation hub is established; Performing space syntax analysis on the virtual space topological relationship model to obtain personnel distribution probability data of the target transportation hub; Predicting the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data, wherein the heat load disturbance distribution parameters are used as a basis for air conditioning design of the target transportation hub; The performing of space syntax analysis on the virtual space topological relationship model to obtain the personnel distribution probability data of the target transportation hub includes: Performing space syntax analysis on the virtual space topological relationship model to obtain a pixel map of the personnel density distribution of the target transportation hub; Determine the color division gradient of the population density corresponding to the target transportation hub according to the design data, the design index and the pixel conditions in the population density distribution pixel map; According to the personnel density color division gradient, the personnel density distribution pixel map is divided into personnel density areas to obtain personnel distribution probability data of a plurality of personnel distribution areas with different colors, and the personnel distribution probability data of the target transportation hub includes the personnel distribution probability data of all the personnel distribution areas; The color corresponding to each of the personnel distribution areas is different, and for any of the personnel distribution areas, the darker the color corresponding to the personnel distribution area, the more or more concentrated the personnel are in the personnel distribution area; The step of predicting the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data includes: Determine the personnel density of each of the personnel distribution areas according to the color corresponding to each of the personnel distribution areas; According to the population density of each of the population distribution areas, all the population distribution areas are divided into regions to obtain at least two air-conditioning zones, and the population density of each of the air-conditioning zones is different from each other; Performing color conversion on the data in each of the air-conditioning zones to obtain the heat load disturbance distribution parameter of each of the air-conditioning zones; Wherein, the heat load disturbance distribution parameters of the target transportation hub include the heat load disturbance distribution parameters of all the air-conditioning zones; The method further comprises: Performing spatial analysis on the design data, the design indicators and the virtual space topological relationship model to obtain the actual space size and actual space layout corresponding to each virtual space element; Obtaining the climate parameters of each season in the area where the target transportation hub is located and the number of passengers corresponding to each season; According to the climate parameters of each season and the number of passengers corresponding to the season, the actual space size and the actual space layout corresponding to each virtual space element, the population density distribution pixel map of the target transportation hub is corrected to obtain a corrected population density distribution pixel map corresponding to the season, wherein the population density distribution pixel map of the target transportation hub includes the population density distribution pixel maps corresponding to all the seasons.

2. The method for analyzing heat load disturbance of personnel in a region according to claim 1, characterized in that: The personnel density distribution pixel map is divided into personnel density regions according to the personnel density color division gradient to obtain personnel distribution probability data of a plurality of personnel distribution regions with different colors, including: For any of the seasons, according to the personnel density color division gradient, the personnel density distribution pixel map corresponding to the season is divided into personnel density regions to obtain personnel distribution probability data of a plurality of personnel distribution regions with different colors corresponding to the season; Wherein, determining the personnel density of each of the personnel distribution areas according to the color corresponding to each of the personnel distribution areas includes: For any of the seasons, determining the population density of each of the population distribution areas according to the color corresponding to each of the population distribution areas corresponding to the season; Wherein, according to the density of people in each of the people distribution areas, all the people distribution areas are divided into regions to obtain at least two air-conditioning zones, including: According to the population density of all the population distribution areas in all the seasons, all the population distribution areas are divided into regions to obtain at least two air-conditioning zones.

3. The method for analyzing heat load disturbance of personnel in a region according to claim 1 or 2, characterized in that: After predicting the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data, the method further includes: Determining a plurality of design parameter groups of the target transportation hub according to the heat load disturbance distribution parameters of the target transportation hub, wherein at least one parameter is different between any two of the design parameter groups; For any of the design parameter groups, analyzing the energy-saving analysis results of the air-conditioning system in actual application after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group; According to the energy-saving analysis results corresponding to each of the design parameter groups, a target design parameter group corresponding to the lowest energy consumption is determined from all the design parameter groups, and the parameters of the target design parameter group are used as the basis for the air conditioning design of the target transportation hub.

4. The method for analyzing heat load disturbance of personnel in a region according to claim 3, characterized in that: For any of the design parameter groups, analyzing the energy-saving analysis results of the air-conditioning system in actual application after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group, includes: Determine, according to the type of the target transportation hub, the design data and the design index, a plurality of energy-saving consideration parameters corresponding to the target transportation hub and a weight of each of the energy-saving consideration parameters, wherein the sum of the weights of all the energy-saving consideration parameters is equal to 1; For any of the design parameter groups, analyzing the energy-saving analysis results corresponding to each of the energy-saving consideration parameters in actual application of the air-conditioning system after the air-conditioning system of the target transportation hub is designed with the parameters of the design parameter group; For any of the design parameter groups, the energy-saving analysis result corresponding to the design parameter group is analyzed according to the energy-saving analysis result corresponding to each of the energy-saving consideration parameters corresponding to the design parameter group and the weight of the energy-saving consideration parameter.

5. The method for analyzing heat load disturbance of personnel in a region according to claim 3, characterized in that: The design data includes the design drawings of the target transportation hub and all process facility points of the target transportation hub; The design drawings of the target transportation hub include the plane design drawings of the target transportation hub and the space design drawings of the target transportation hub; All the process facilities include the target transportation hub’s approach facilities, ticket check-in facilities, baggage check-in facilities, security check-in facilities, waiting facilities, and boarding facilities; The design indicators include the passenger capacity design indicator of the target transportation hub and the passenger flow processing speed design indicator of the target transportation hub; The parameters of any of the design parameter groups include one or more of air conditioning cooling capacity adjustment parameters, air conditioning distribution design parameters, and air conditioning operation adjustment parameters; Wherein, the air conditioning distribution design parameters include the number of air conditioning distribution and the air conditioning distribution position; The air conditioning operation adjustment parameters include one or more of an air conditioning set temperature adjustment parameter, an air conditioning outlet wind speed adjustment parameter, an air conditioning outlet direction adjustment parameter, and an air conditioning outlet size adjustment parameter; The adjustment includes positive adjustment or negative adjustment.

6. A device for analyzing the heat load disturbance of people in an area, characterized in that: The device is used to execute the method for analyzing the heat load disturbance of personnel in the area according to any one of claims 1 to 5, and the device comprises: An acquisition module, used to acquire design data of a target transportation hub and design indicators of the target transportation hub; An analysis module, used to perform spatial analysis on the acquired design data and the design indicators to obtain a plurality of virtual space elements of the target transportation hub, connection relationships between all the virtual space elements, and virtual connection channels; An establishment module, used to establish a virtual space topological relationship model matching the target transportation hub according to all the virtual space elements, connection parameters between all the virtual space elements and virtual connection channels; The analysis module is further used to perform space syntax analysis on the virtual space topological relationship model to obtain the personnel distribution probability data of the target transportation hub; A prediction module is used to predict the heat load disturbance distribution parameters of the target transportation hub according to the personnel distribution probability data, and the heat load disturbance distribution parameters are used as a basis for air conditioning design of the target transportation hub.

7. A device for analyzing the heat load disturbance of people in an area, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the method for analyzing heat load disturbance of personnel in an area as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the method for analyzing the heat load disturbance of people in the area according to any one of claims 1 to 5.

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