HVAC modeling simulation method and system

Abstract

The present invention discloses a HVAC modeling and simulation method and system, the method comprising: obtaining the spatial parameters of a target space to be arranged for HVAC and the air conditioning parameters of the HVAC; establishing a spatial three-dimensional model corresponding to the target space based on a three-dimensional modeling algorithm and the spatial parameters; arranging an air conditioning model in the spatial three-dimensional model to obtain a HVAC simulation model according to the air conditioning parameters and a preset three-dimensional air conditioning model library; based on a plurality of different temperature control scene conditions, based on a simulation algorithm and a neural network algorithm, performing simulation operations on the HVAC simulation model to obtain simulation prediction results; the simulation prediction results are used to assist the HVAC arrangement of the target space. It can be seen that the present invention can fully combine the spatial characteristics and air conditioning characteristics to perform accurate and simulated predictions, and provide more accurate data references and data foundations for subsequent HVAC design.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a heating, ventilation and air conditioning modeling simulation method and system. Background Art

[0002] Heating, Ventilation and Air Conditioning (HVAC) refers to systems or related equipment responsible for heating, ventilation and air conditioning indoors or in cars. With the development of HVAC-related technologies, people have higher and higher requirements for the control effect of HVAC on the overall comfort of the space. In the existing HVAC design scheme, the temperature control scheme of HVAC is generally predicted based on manual design judgment, without fully considering the overall modeling and simulation of HVAC and design space. Therefore, its simulation prediction effect is poor and cannot effectively assist the actual design. It can be seen that the existing technology has defects that need to be solved urgently. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a HVAC modeling simulation method and system, which can fully combine the spatial characteristics and air-conditioning characteristics for accurate and simulated prediction, and provide more accurate data reference and data basis for subsequent HVAC design.

[0004] In order to solve the above technical problems, the first aspect of the present invention discloses a HVAC modeling and simulation method, the method comprising:

[0005] Acquire space parameters of a target space to be equipped with HVAC and air conditioning parameters of the HVAC;

[0006] Based on the three-dimensional modeling algorithm and the spatial parameters, a spatial three-dimensional model corresponding to the target space is established;

[0007] Arranging an air conditioning model in the spatial three-dimensional model according to the air conditioning parameters and a preset air conditioning three-dimensional model library to obtain a HVAC simulation model;

[0008] Based on a plurality of different temperature control scenario conditions, based on a simulation algorithm and a neural network algorithm, the HVAC simulation model is simulated to obtain a simulation prediction result; the simulation prediction result is used to assist the HVAC layout of the target space.

[0009] As an optional embodiment, in the first aspect of the present invention, the space parameters include space type, space shape parameters, space ventilation position parameters, space heat conduction position parameters, space lighting parameters and space wall material parameters.

[0010] As an optional implementation, in the first aspect of the present invention, the air conditioning parameters include air conditioning energy consumption parameters, air conditioning cooling parameters, air conditioning heating parameters, air conditioning occupied space size parameters and air conditioning allowed deployment position parameters.

[0011] As an optional implementation, in the first aspect of the present invention, the establishing of the spatial three-dimensional model corresponding to the target space based on the three-dimensional modeling algorithm and the spatial parameters includes:

[0012] According to the space type, a corresponding type of space three-dimensional template is selected from a preset BIM template database;

[0013] Modify the overall shape parameters and material parameters of the spatial three-dimensional template according to the spatial shape parameters and the spatial wall material parameters to obtain a modified three-dimensional template;

[0014] According to the spatial ventilation position parameters, the spatial heat conduction position parameters and the spatial illumination parameters, based on a dynamic programming algorithm, the components in the modified three-dimensional template are calculated to obtain a spatial three-dimensional model corresponding to the target space.

[0015] As an optional implementation, in the first aspect of the present invention, the components in the modified three-dimensional template are calculated based on the dynamic programming algorithm according to the spatial ventilation position parameters, the spatial heat conduction position parameters and the spatial illumination parameters to obtain the spatial three-dimensional model corresponding to the target space, including:

[0016] The objective function is set to minimize the number of components in the spatial component scheme and minimize the complexity of components in the spatial component scheme;

[0017] Setting restrictions includes:

[0018] The ventilation environment formed by all components in the space component scheme meets the space ventilation position parameters;

[0019] The heat conduction environment formed by all components in the spatial component scheme conforms to the spatial heat conduction position parameters;

[0020] The lighting environment formed by all components in the spatial component scheme meets the spatial lighting parameters;

[0021] According to the objective function and the constraint conditions, a spatial component scheme is iteratively generated and optimized in the modified three-dimensional template based on a dynamic programming algorithm until a converged spatial component scheme calculation result is obtained as a spatial three-dimensional model corresponding to the target space.

[0022] As an optional implementation, in the first aspect of the present invention, the step of arranging the air conditioning model in the spatial three-dimensional model to obtain the HVAC simulation model according to the air conditioning parameters and the preset air conditioning three-dimensional model library comprises:

[0023] For each air conditioning model template in the preset air conditioning three-dimensional model library; calculating the parameter similarity between the template parameter corresponding to the air conditioning model template and the air conditioning parameter;

[0024] Determine the air-conditioning model template with the highest parameter similarity as the corresponding air-conditioning model;

[0025] Determining the optimal layout position of the air conditioner in the three-dimensional model of the space;

[0026] The air conditioning model is arranged at the optimal air conditioning layout position to obtain a HVAC simulation model.

[0027] As an optional implementation, in the first aspect of the present invention, determining the optimal air conditioning layout position in the three-dimensional spatial model includes:

[0028] According to a preset air conditioner layout position rule, a plurality of candidate layout positions in the three-dimensional spatial model are determined;

[0029] Determine, according to the spatial component scheme corresponding to the spatial three-dimensional model and the parameters in the optimization process of the dynamic programming algorithm, the ventilation volume parameter, the heat conduction efficiency parameter and the light intensity parameter corresponding to each candidate layout position in the spatial three-dimensional model;

[0030] Calculating the weighted average of the ventilation volume parameter, the heat conduction efficiency parameter, and the light intensity parameter to obtain the position priority corresponding to each candidate layout position;

[0031] The candidate layout position with the highest position priority is determined as the optimal layout position of the air conditioner in the three-dimensional spatial model.

[0032] As an optional implementation, in the first aspect of the present invention, based on a plurality of different temperature control scenario conditions, based on a simulation algorithm and a neural network algorithm, a simulation operation is performed on the HVAC simulation model to obtain a simulation prediction result, including:

[0033] Get simulation requirement targets;

[0034] The simulation demand target is input into the trained prediction neural network of the temperature control scene condition to obtain a corresponding set of multiple temperature control scene condition parameters; the prediction neural network is trained by a training data set including multiple training simulation demand targets and corresponding temperature control scene condition parameter annotations;

[0035] Each of the temperature control scenario condition parameter sets is input into the HVAC simulation model based on AMESim software for simulation calculation to obtain the simulation prediction results corresponding to each of the temperature control scenario condition parameter sets.

[0036] A second aspect of an embodiment of the present invention discloses a HVAC modeling and simulation system, the system comprising:

[0037] An acquisition module, used to acquire space parameters of a target space to be equipped with HVAC and air conditioning parameters of the HVAC;

[0038] A modeling module, used to establish a spatial three-dimensional model corresponding to the target space based on a three-dimensional modeling algorithm and the spatial parameters;

[0039] A layout module, used to arrange the air conditioning model in the three-dimensional model of the space according to the air conditioning parameters and a preset three-dimensional air conditioning model library to obtain a HVAC simulation model;

[0040] The simulation module is used to perform simulation operations on the HVAC simulation model based on multiple different temperature control scenario conditions, based on simulation algorithms and neural network algorithms to obtain simulation prediction results; the simulation prediction results are used to assist the HVAC layout of the target space.

[0041] As an optional embodiment, in the second aspect of the present invention, the space parameters include space type, space shape parameters, space ventilation position parameters, space heat conduction position parameters, space lighting parameters and space wall material parameters.

[0042] As an optional implementation, in the second aspect of the present invention, the air conditioning parameters include air conditioning energy consumption parameters, air conditioning cooling parameters, air conditioning heating parameters, air conditioning occupied space size parameters and air conditioning allowed deployment position parameters.

[0043] As an optional implementation, in the second aspect of the present invention, the specific manner in which the modeling module establishes the spatial three-dimensional model corresponding to the target space based on the three-dimensional modeling algorithm and the spatial parameters includes:

[0044] According to the space type, a corresponding type of space three-dimensional template is selected from a preset BIM template database;

[0045] Modify the overall shape parameters and material parameters of the spatial three-dimensional template according to the spatial shape parameters and the spatial wall material parameters to obtain a modified three-dimensional template;

[0046] According to the spatial ventilation position parameters, the spatial heat conduction position parameters and the spatial illumination parameters, based on a dynamic programming algorithm, the components in the modified three-dimensional template are calculated to obtain a spatial three-dimensional model corresponding to the target space.

[0047] As an optional implementation, in the second aspect of the present invention, the modeling module calculates the components in the modified three-dimensional template based on the dynamic programming algorithm according to the spatial ventilation position parameters, the spatial heat conduction position parameters and the spatial illumination parameters, and obtains the specific manner of the spatial three-dimensional model corresponding to the target space, including:

[0048] The objective function is set to minimize the number of components in the spatial component scheme and minimize the complexity of components in the spatial component scheme;

[0049] Setting restrictions includes:

[0050] The ventilation environment formed by all components in the space component scheme meets the space ventilation position parameters;

[0051] The heat conduction environment formed by all components in the spatial component scheme conforms to the spatial heat conduction position parameters;

[0052] The lighting environment formed by all components in the spatial component scheme meets the spatial lighting parameters;

[0053] According to the objective function and the constraint conditions, a spatial component scheme is iteratively generated and optimized in the modified three-dimensional template based on a dynamic programming algorithm until a converged spatial component scheme calculation result is obtained as a spatial three-dimensional model corresponding to the target space.

[0054] As an optional implementation, in the second aspect of the present invention, the arrangement module arranges the air conditioning model in the spatial three-dimensional model according to the air conditioning parameters and the preset air conditioning three-dimensional model library to obtain the specific manner of the HVAC simulation model, including:

[0055] For each air conditioning model template in the preset air conditioning three-dimensional model library; calculating the parameter similarity between the template parameter corresponding to the air conditioning model template and the air conditioning parameter;

[0056] Determine the air-conditioning model template with the highest parameter similarity as the corresponding air-conditioning model;

[0057] Determining the optimal layout position of the air conditioner in the three-dimensional model of the space;

[0058] The air conditioning model is arranged at the optimal air conditioning layout position to obtain a HVAC simulation model.

[0059] As an optional implementation, in the second aspect of the present invention, the specific manner in which the arrangement module determines the optimal arrangement position of the air conditioner in the three-dimensional spatial model includes:

[0060] According to a preset air conditioner layout position rule, a plurality of candidate layout positions in the three-dimensional spatial model are determined;

[0061] Determine, according to the spatial component scheme corresponding to the spatial three-dimensional model and the parameters in the optimization process of the dynamic programming algorithm, the ventilation volume parameter, the heat conduction efficiency parameter and the light intensity parameter corresponding to each candidate layout position in the spatial three-dimensional model;

[0062] Calculating the weighted average of the ventilation volume parameter, the heat conduction efficiency parameter, and the light intensity parameter to obtain the position priority corresponding to each candidate layout position;

[0063] The candidate layout position with the highest position priority is determined as the optimal layout position of the air conditioner in the three-dimensional spatial model.

[0064] As an optional embodiment, in the second aspect of the present invention, the simulation module performs simulation calculations on the HVAC simulation model based on multiple different temperature control scenario conditions, based on simulation algorithms and neural network algorithms to obtain simulation prediction results in a specific manner, including:

[0065] Get simulation requirement targets;

[0066] The simulation demand target is input into the trained prediction neural network of the temperature control scene condition to obtain a corresponding set of multiple temperature control scene condition parameters; the prediction neural network is trained by a training data set including multiple training simulation demand targets and corresponding temperature control scene condition parameter annotations;

[0067] Each of the temperature control scenario condition parameter sets is input into the HVAC simulation model based on AMESim software for simulation calculation to obtain the simulation prediction results corresponding to each of the temperature control scenario condition parameter sets.

[0068] A third aspect of the present invention discloses another HVAC modeling and simulation system, the system comprising:

[0069] A memory storing executable program code;

[0070] a processor coupled to the memory;

[0071] The processor calls the executable program code stored in the memory to execute part or all of the steps in the HVAC modeling and simulation method disclosed in the first aspect of the present invention.

[0072] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in the HVAC modeling and simulation method disclosed in the first aspect of the present invention.

[0073] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0074] The present invention can establish a spatial three-dimensional model corresponding to the target space based on the three-dimensional modeling algorithm and spatial parameters, and then arrange the air-conditioning model in the spatial three-dimensional model according to the air-conditioning parameters and a preset air-conditioning three-dimensional model library to obtain a HVAC simulation model, and perform simulation operations on the HVAC simulation model based on the simulation algorithm and the neural network algorithm to obtain simulation prediction results, thereby being able to fully combine the spatial characteristics and the air-conditioning characteristics for accurate and simulated predictions, providing more accurate data reference and data basis for subsequent HVAC design. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] 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.

[0076] Figure 1 It is a flow chart of a HVAC modeling and simulation method disclosed in an embodiment of the present invention.

[0077] Figure 2 It is a structural schematic diagram of a HVAC modeling and simulation system disclosed in an embodiment of the present invention.

[0078] Figure 3 It is a structural schematic diagram of another HVAC modeling and simulation system disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0079] 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.

[0080] 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 equipment that includes 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 that are inherent to these processes, methods, products or equipment.

[0081] 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.

[0082] The present invention discloses a HVAC modeling and simulation method and system, which can establish a spatial three-dimensional model corresponding to a target space based on a three-dimensional modeling algorithm and spatial parameters, and then arrange the air conditioning model in the spatial three-dimensional model according to the air conditioning parameters and a preset air conditioning three-dimensional model library to obtain a HVAC simulation model, and perform simulation calculations on the HVAC simulation model based on a simulation algorithm and a neural network algorithm to obtain simulation prediction results, thereby being able to fully combine spatial characteristics and air conditioning characteristics for accurate and simulated predictions, and provide a more accurate data reference and data basis for subsequent HVAC design. The following are detailed descriptions.

[0083] Embodiment 1

[0084] See also Figure 1 , Figure 1 : is a flow chart of a HVAC modeling and simulation method disclosed in an embodiment of the present invention. Figure 1 The HVAC modeling and simulation method described can be applied to a data processing system / data processing device / data processing server (wherein the server includes a local processing server or a cloud processing server). Figure 1 As shown, the HVAC modeling and simulation method may include the following operations:

[0085] 101. Obtain space parameters of a target space for HVAC arrangement and HVAC air conditioning parameters.

[0086] 102. Based on the three-dimensional modeling algorithm and spatial parameters, a spatial three-dimensional model corresponding to the target space is established.

[0087] 103. According to air conditioning parameters and a preset air conditioning three-dimensional model library, an air conditioning model is arranged in the spatial three-dimensional model to obtain a HVAC simulation model.

[0088] 104. Based on multiple different temperature control scenario conditions, based on simulation algorithms and neural network algorithms, the HVAC simulation model is simulated to obtain simulation prediction results.

[0089] Optionally, the simulation prediction results are used to assist in HVAC layout of the target space.

[0090] It can be seen that the above-mentioned embodiments of the invention can establish a spatial three-dimensional model corresponding to the target space based on the three-dimensional modeling algorithm and spatial parameters, and then arrange the air-conditioning model in the spatial three-dimensional model according to the air-conditioning parameters and the preset air-conditioning three-dimensional model library to obtain a HVAC simulation model, and simulate the HVAC simulation model based on the simulation algorithm and the neural network algorithm to obtain a simulation prediction result, so as to fully combine the spatial characteristics and air-conditioning characteristics for accurate and simulated prediction, and provide more accurate data reference and data basis for subsequent HVAC design.

[0091] As an optional embodiment, in the above steps, the space parameters include space type, space shape parameters, space ventilation position parameters, space heat conduction position parameters, space lighting parameters and space wall material parameters.

[0092] It can be seen that through the above optional embodiments, the content of the space parameters is limited to comprehensively characterize the characteristics of the target space to be simulated, assist in achieving accurate and simulated prediction by fully combining the space characteristics and air-conditioning characteristics, and provide more accurate data reference and data basis for subsequent HVAC design.

[0093] As an optional embodiment, in the above steps, the air conditioning parameters include air conditioning energy consumption parameters, air conditioning cooling parameters, air conditioning heating parameters, air conditioning occupied space size parameters and air conditioning allowed deployment position parameters.

[0094] It can be seen that through the above optional embodiments, the content of the air-conditioning parameters is limited to comprehensively characterize the characteristics of the HVAC to be arranged, assist in realizing accurate and simulated prediction by fully combining the space characteristics and air-conditioning characteristics, and provide more accurate data reference and data basis for subsequent HVAC design.

[0095] As an optional embodiment, in the above steps, establishing a spatial three-dimensional model corresponding to the target space based on a three-dimensional modeling algorithm and spatial parameters includes:

[0096] According to the space type, select the corresponding type of space 3D template from the preset BIM template database;

[0097] According to the space shape parameters and the space wall material parameters, the overall shape parameters and material parameters of the space three-dimensional template are modified to obtain a modified three-dimensional template;

[0098] According to the spatial ventilation position parameters, spatial heat conduction position parameters and spatial lighting parameters, based on the dynamic programming algorithm, the components in the modified three-dimensional template are calculated to obtain the spatial three-dimensional model corresponding to the target space.

[0099] It can be seen that through the above optional embodiments, the most reasonable and similar spatial three-dimensional model can be calculated and modeled through spatial parameters, BIM template database and dynamic programming algorithm, so as to facilitate subsequent accurate simulation predictions, assist in realizing accurate and simulated predictions by fully combining spatial characteristics and air-conditioning characteristics, and provide more accurate data reference and data basis for subsequent HVAC design.

[0100] As an optional embodiment, in the above steps, according to the spatial ventilation position parameters, the spatial heat conduction position parameters and the spatial illumination parameters, based on the dynamic programming algorithm, the components in the modified three-dimensional template are calculated to obtain the spatial three-dimensional model corresponding to the target space, including:

[0101] The objective function is set to minimize the number of components in the spatial component scheme and minimize the complexity of components in the spatial component scheme;

[0102] Setting restrictions includes:

[0103] The ventilation environment formed by all components in the space component plan meets the space ventilation position parameters;

[0104] The heat conduction environment formed by all components in the space component scheme conforms to the space heat conduction position parameters;

[0105] The lighting environment formed by all components in the spatial component scheme meets the spatial lighting parameters;

[0106] According to the objective function and constraints, the spatial component scheme is iteratively generated and optimized in the modified three-dimensional template based on the dynamic programming algorithm until a converged spatial component scheme calculation result is obtained as the spatial three-dimensional model corresponding to the target space.

[0107] It can be seen that through the above-mentioned optional embodiments, based on the preset objective function and constraints, the most reasonable and similar three-dimensional spatial model that can meet the characteristics of the target space can be obtained through dynamic programming algorithm calculation, so as to facilitate subsequent accurate simulation predictions, assist in realizing accurate and simulation predictions that fully combine the spatial characteristics and air-conditioning characteristics, and provide more accurate data reference and data basis for subsequent HVAC design.

[0108] As an optional embodiment, in the above steps, according to the air conditioning parameters and the preset air conditioning three-dimensional model library, the air conditioning model is arranged in the spatial three-dimensional model to obtain the HVAC simulation model, including:

[0109] For each air conditioning model template in the preset air conditioning three-dimensional model library; optionally, calculating the parameter similarity between the template parameters corresponding to the air conditioning model template and the air conditioning parameters;

[0110] The air conditioning model template with the highest parameter similarity is determined as the corresponding air conditioning model;

[0111] Determine the best location for air conditioning in the three-dimensional model of the space;

[0112] The air conditioning model is arranged at the optimal air conditioning layout position to obtain a HVAC simulation model.

[0113] It can be seen that through the above-mentioned optional embodiments, it is possible to screen out air-conditioning models from the air-conditioning three-dimensional model library based on similarity calculation and screening, and obtain a HVAC simulation model by arranging the air-conditioning at the optimal layout position in the spatial three-dimensional model, so as to facilitate subsequent accurate simulation predictions, assist in realizing accurate and simulation predictions by fully combining the spatial characteristics and air-conditioning characteristics, and provide more accurate data reference and data basis for subsequent HVAC design.

[0114] As an optional embodiment, in the above step, determining the optimal layout position of the air conditioner in the three-dimensional spatial model includes:

[0115] According to the preset air conditioner layout position rules, multiple candidate layout positions in the spatial three-dimensional model are determined;

[0116] According to the spatial component scheme corresponding to the spatial three-dimensional model and the parameters in the optimization process of the dynamic programming algorithm, the ventilation volume parameter, the heat conduction efficiency parameter and the light intensity parameter corresponding to each candidate layout position in the spatial three-dimensional model are determined;

[0117] Calculate the weighted average of the ventilation volume parameter, the heat transfer efficiency parameter and the light intensity parameter to obtain the position priority corresponding to each candidate layout position;

[0118] The candidate layout position with the highest position priority is determined as the optimal layout position of the air conditioner in the spatial three-dimensional model.

[0119] It can be seen that through the above-mentioned optional embodiments, it is possible to accurately determine the reasonable optimal air conditioning layout position based on the calculation of ventilation volume parameters, heat conduction efficiency parameters and light intensity parameters, so as to obtain the preferred HVAC simulation model for simulation prediction, and assist in realizing accurate and simulation prediction by fully combining the space characteristics and air conditioning characteristics, so as to provide more accurate data reference and data basis for subsequent HVAC design.

[0120] As an optional embodiment, in the above steps, based on multiple different temperature control scene conditions, based on the simulation algorithm and the neural network algorithm, the HVAC simulation model is simulated to obtain the simulation prediction results, including:

[0121] Get simulation requirement targets;

[0122] Inputting the simulation demand target into the trained prediction neural network of the temperature control scene condition to obtain a corresponding set of multiple temperature control scene condition parameters; optionally, the prediction neural network is trained by a training data set including multiple training simulation demand targets and corresponding temperature control scene condition parameter annotations;

[0123] Each temperature control scenario condition parameter set is input into the HVAC simulation model based on AMESim software for simulation calculation to obtain the simulation prediction results corresponding to each temperature control scenario condition parameter set.

[0124] It can be seen that through the above optional embodiments, multiple parameter sets corresponding to the simulation demand targets can be predicted according to the trained prediction neural network of the temperature control scenario conditions, and input into the HVAC simulation model according to the AMESim software for simulation calculation, so as to achieve accurate and simulated prediction by fully combining the space characteristics and air-conditioning characteristics, and provide more accurate data reference and data basis for subsequent HVAC design.

[0125] Embodiment 2

[0126] See also Figure 2 , Figure 2 Schematic diagram of a HVAC modeling and simulation system disclosed in an embodiment of the present invention. Figure 2 The described HVAC modeling and simulation system can be applied to a data processing system / data processing device / data processing server (wherein the server includes a local processing server or a cloud processing server). Figure 2 As shown, the HVAC modeling and simulation system may include:

[0127] The acquisition module 201 is used to acquire the space parameters of the target space to be arranged with HVAC and the air-conditioning parameters of the HVAC.

[0128] The modeling module 202 is used to establish a spatial three-dimensional model corresponding to the target space based on a three-dimensional modeling algorithm and spatial parameters.

[0129] The arrangement module 203 is used to arrange the air conditioning model in the spatial three-dimensional model according to the air conditioning parameters and the preset air conditioning three-dimensional model library to obtain a HVAC simulation model.

[0130] The simulation module 204 is used to perform simulation operations on the HVAC simulation model based on multiple different temperature control scene conditions, based on simulation algorithms and neural network algorithms to obtain simulation prediction results.

[0131] Optionally, the simulation prediction results are used to assist in HVAC layout of the target space.

[0132] It can be seen that the above-mentioned embodiments of the invention can establish a spatial three-dimensional model corresponding to the target space based on the three-dimensional modeling algorithm and spatial parameters, and then arrange the air-conditioning model in the spatial three-dimensional model according to the air-conditioning parameters and the preset air-conditioning three-dimensional model library to obtain a HVAC simulation model, and simulate the HVAC simulation model based on the simulation algorithm and the neural network algorithm to obtain a simulation prediction result, so as to fully combine the spatial characteristics and air-conditioning characteristics for accurate and simulated prediction, and provide more accurate data reference and data basis for subsequent HVAC design.

[0133] As an optional embodiment, the space parameters include space type, space shape parameters, space ventilation position parameters, space heat conduction position parameters, space lighting parameters and space wall material parameters.

[0134] It can be seen that through the above optional embodiments, the content of the space parameters is limited to comprehensively characterize the characteristics of the target space to be simulated, assist in achieving accurate and simulated prediction by fully combining the space characteristics and air-conditioning characteristics, and provide more accurate data reference and data basis for subsequent HVAC design.

[0135] As an optional embodiment, the air conditioning parameters include air conditioning energy consumption parameters, air conditioning cooling parameters, air conditioning heating parameters, air conditioning occupied space size parameters and air conditioning allowed deployment position parameters.

[0136] It can be seen that through the above optional embodiments, the content of the air-conditioning parameters is limited to comprehensively characterize the characteristics of the HVAC to be arranged, assist in realizing accurate and simulated prediction by fully combining the space characteristics and air-conditioning characteristics, and provide more accurate data reference and data basis for subsequent HVAC design.

[0137] As an optional embodiment, the specific manner in which the modeling module establishes the spatial three-dimensional model corresponding to the target space based on the three-dimensional modeling algorithm and the spatial parameters includes:

[0138] According to the space type, select the corresponding type of space 3D template from the preset BIM template database;

[0139] According to the space shape parameters and the space wall material parameters, the overall shape parameters and material parameters of the space three-dimensional template are modified to obtain a modified three-dimensional template;

[0140] According to the spatial ventilation position parameters, spatial heat conduction position parameters and spatial lighting parameters, based on the dynamic programming algorithm, the components in the modified three-dimensional template are calculated to obtain the spatial three-dimensional model corresponding to the target space.

[0141] It can be seen that through the above optional embodiments, the most reasonable and similar spatial three-dimensional model can be calculated and modeled through spatial parameters, BIM template database and dynamic programming algorithm, so as to facilitate subsequent accurate simulation predictions, assist in realizing accurate and simulated predictions by fully combining spatial characteristics and air-conditioning characteristics, and provide more accurate data reference and data basis for subsequent HVAC design.

[0142] As an optional embodiment, the modeling module calculates the components in the modified three-dimensional template based on the dynamic programming algorithm according to the spatial ventilation position parameters, the spatial heat conduction position parameters and the spatial illumination parameters to obtain a specific method of the spatial three-dimensional model corresponding to the target space, including:

[0143] The objective function is set to minimize the number of components in the spatial component scheme and minimize the complexity of components in the spatial component scheme;

[0144] Setting restrictions includes:

[0145] The ventilation environment formed by all components in the space component plan meets the space ventilation position parameters;

[0146] The heat conduction environment formed by all components in the space component scheme conforms to the space heat conduction position parameters;

[0147] The lighting environment formed by all components in the spatial component scheme meets the spatial lighting parameters;

[0148] According to the objective function and constraints, the spatial component scheme is iteratively generated and optimized in the modified three-dimensional template based on the dynamic programming algorithm until a converged spatial component scheme calculation result is obtained as the spatial three-dimensional model corresponding to the target space.

[0149] It can be seen that through the above-mentioned optional embodiments, based on the preset objective function and constraints, the most reasonable and similar three-dimensional spatial model that can meet the characteristics of the target space can be obtained through dynamic programming algorithm calculation, so as to facilitate subsequent accurate simulation predictions, assist in realizing accurate and simulation predictions that fully combine the spatial characteristics and air-conditioning characteristics, and provide more accurate data reference and data basis for subsequent HVAC design.

[0150] As an optional embodiment, the arrangement module arranges the air conditioning model in the spatial three-dimensional model according to the air conditioning parameters and the preset air conditioning three-dimensional model library to obtain the specific manner of the HVAC simulation model, including:

[0151] For each air conditioning model template in the preset air conditioning three-dimensional model library; optionally, calculating the parameter similarity between the template parameters corresponding to the air conditioning model template and the air conditioning parameters;

[0152] The air conditioning model template with the highest parameter similarity is determined as the corresponding air conditioning model;

[0153] Determine the best location for air conditioning in the three-dimensional model of the space;

[0154] The air conditioning model is arranged at the optimal air conditioning layout position to obtain a HVAC simulation model.

[0155] It can be seen that through the above-mentioned optional embodiments, it is possible to screen out air-conditioning models from the air-conditioning three-dimensional model library based on similarity calculation and screening, and obtain a HVAC simulation model by arranging the air-conditioning at the optimal layout position in the spatial three-dimensional model, so as to facilitate subsequent accurate simulation predictions, assist in realizing accurate and simulation predictions by fully combining the spatial characteristics and air-conditioning characteristics, and provide more accurate data reference and data basis for subsequent HVAC design.

[0156] As an optional embodiment, the specific manner in which the arrangement module determines the optimal arrangement position of the air conditioner in the three-dimensional spatial model includes:

[0157] According to the preset air conditioner layout position rules, multiple candidate layout positions in the spatial three-dimensional model are determined;

[0158] According to the spatial component scheme corresponding to the spatial three-dimensional model and the parameters in the optimization process of the dynamic programming algorithm, the ventilation volume parameter, the heat conduction efficiency parameter and the light intensity parameter corresponding to each candidate layout position in the spatial three-dimensional model are determined;

[0159] Calculate the weighted average of the ventilation volume parameter, the heat transfer efficiency parameter and the light intensity parameter to obtain the position priority corresponding to each candidate layout position;

[0160] The candidate layout position with the highest position priority is determined as the optimal layout position of the air conditioner in the spatial three-dimensional model.

[0161] It can be seen that through the above-mentioned optional embodiments, it is possible to accurately determine the reasonable optimal air conditioning layout position based on the calculation of ventilation volume parameters, heat conduction efficiency parameters and light intensity parameters, so as to obtain the preferred HVAC simulation model for simulation prediction, and assist in realizing accurate and simulation prediction by fully combining the space characteristics and air conditioning characteristics, so as to provide more accurate data reference and data basis for subsequent HVAC design.

[0162] As an optional embodiment, the simulation module performs simulation calculations on the HVAC simulation model based on multiple different temperature control scenario conditions, based on the simulation algorithm and the neural network algorithm to obtain the simulation prediction results in a specific manner, including:

[0163] Get simulation requirement targets;

[0164] Inputting the simulation demand target into the trained prediction neural network of the temperature control scene condition to obtain a corresponding set of multiple temperature control scene condition parameters; optionally, the prediction neural network is trained by a training data set including multiple training simulation demand targets and corresponding temperature control scene condition parameter annotations;

[0165] Each temperature control scenario condition parameter set is input into the HVAC simulation model based on AMESim software for simulation calculation to obtain the simulation prediction results corresponding to each temperature control scenario condition parameter set.

[0166] It can be seen that through the above optional embodiments, multiple parameter sets corresponding to the simulation demand targets can be predicted according to the trained prediction neural network of the temperature control scenario conditions, and input into the HVAC simulation model according to the AMESim software for simulation calculation, so as to achieve accurate and simulated prediction by fully combining the space characteristics and air-conditioning characteristics, and provide more accurate data reference and data basis for subsequent HVAC design.

[0167] Embodiment 3

[0168] See also Figure 3 , Figure 3 It is another HVAC modeling and simulation system disclosed in an embodiment of the present invention. Figure 3 The described HVAC modeling and simulation system is applied to a data processing system / data processing device / data processing server (wherein the server includes a local processing server or a cloud processing server). Figure 3 As shown, the HVAC modeling and simulation system may include:

[0169] A memory 301 storing executable program codes;

[0170] a processor 302 coupled to the memory 301;

[0171] The processor 302 calls the executable program code stored in the memory 301 to execute the steps of the HVAC modeling simulation method described in the first embodiment.

[0172] Embodiment 4

[0173] An embodiment of the present invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the HVAC modeling simulation method described in the first embodiment.

[0174] Embodiment 5

[0175] 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 HVAC modeling simulation method described in the first embodiment.

[0176] The above describes specific embodiments of the present specification, and other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily have to be performed in the specific order or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0177] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0178] For the convenience of description, the above device is described in various units according to their functions. Of course, when implementing this specification, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0179] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification may be in the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the embodiments of this specification may be in the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0180] This specification is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of this specification. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0181] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0182] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0183] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0184] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0185] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0186] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0187] This specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. This specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0188] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0189] Finally, it should be noted that the HVAC modeling simulation method and system disclosed in the embodiment of the present invention discloses only the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A HVAC modeling and simulation method, characterized in that: The method comprises: Acquire the space parameters of the target space to be arranged with HVAC and the air conditioning parameters of the HVAC; the space parameters include space type, space shape parameters, space ventilation position parameters, space heat conduction position parameters, space lighting parameters and space wall material parameters; Based on the three-dimensional modeling algorithm and the spatial parameters, a spatial three-dimensional model corresponding to the target space is established, including: According to the space type, a corresponding type of space three-dimensional template is selected from a preset BIM template database; Modify the overall shape parameters and material parameters of the spatial three-dimensional template according to the spatial shape parameters and the spatial wall material parameters to obtain a modified three-dimensional template; The objective function is set to minimize the number of components in the spatial component scheme and minimize the complexity of components in the spatial component scheme; Setting restrictions includes: The ventilation environment formed by all components in the space component scheme meets the space ventilation position parameters; The heat conduction environment formed by all components in the spatial component scheme conforms to the spatial heat conduction position parameters; The lighting environment formed by all components in the spatial component scheme meets the spatial lighting parameters; According to the objective function and the constraint conditions, iteratively generate and optimize a spatial component solution in the modified three-dimensional template based on a dynamic programming algorithm until a converged spatial component solution calculation result is obtained as a spatial three-dimensional model corresponding to the target space; Arranging an air conditioning model in the spatial three-dimensional model according to the air conditioning parameters and a preset air conditioning three-dimensional model library to obtain a HVAC simulation model; Based on multiple different temperature control scenario conditions, based on simulation algorithms and neural network algorithms, the HVAC simulation model is simulated to obtain simulation prediction results, including: Get simulation requirement targets; The simulation demand target is input into the trained prediction neural network of the temperature control scene condition to obtain a corresponding set of multiple temperature control scene condition parameters; the prediction neural network is trained by a training data set including multiple training simulation demand targets and corresponding temperature control scene condition parameter annotations; Each set of temperature control scene condition parameters is input into the HVAC simulation model based on AMESim software for simulation calculation to obtain the simulation prediction results corresponding to each set of temperature control scene condition parameters; the simulation prediction results are used to assist the HVAC layout of the target space.

2. The HVAC modeling and simulation method according to claim 1, characterized in that: The air conditioning parameters include air conditioning energy consumption parameters, air conditioning cooling parameters, air conditioning heating parameters, air conditioning occupied space size parameters and air conditioning allowed deployment position parameters.

3. The HVAC modeling and simulation method according to claim 1, characterized in that: Arranging the air conditioning model in the spatial three-dimensional model to obtain a HVAC simulation model according to the air conditioning parameters and a preset air conditioning three-dimensional model library includes: For each air conditioning model template in the preset air conditioning three-dimensional model library; calculating the parameter similarity between the template parameter corresponding to the air conditioning model template and the air conditioning parameter; Determine the air-conditioning model template with the highest parameter similarity as the corresponding air-conditioning model; Determining the optimal layout position of the air conditioner in the three-dimensional model of the space; The air conditioning model is arranged at the optimal air conditioning layout position to obtain a HVAC simulation model.

4. The HVAC modeling and simulation method according to claim 3, characterized in that: Determining the optimal layout position of the air conditioner in the three-dimensional spatial model includes: According to a preset air conditioner layout position rule, a plurality of candidate layout positions in the three-dimensional spatial model are determined; Determine, according to the spatial component scheme corresponding to the spatial three-dimensional model and the parameters in the optimization process of the dynamic programming algorithm, the ventilation volume parameter, the heat conduction efficiency parameter and the light intensity parameter corresponding to each candidate layout position in the spatial three-dimensional model; Calculating the weighted average of the ventilation volume parameter, the heat conduction efficiency parameter, and the light intensity parameter to obtain the position priority corresponding to each candidate layout position; The candidate layout position with the highest position priority is determined as the optimal layout position of the air conditioner in the three-dimensional spatial model.

5. A HVAC modeling and simulation system, characterized in that: The system comprises: An acquisition module is used to acquire space parameters of a target space to be arranged with HVAC and air conditioning parameters of the HVAC; the space parameters include space type, space shape parameters, space ventilation position parameters, space heat conduction position parameters, space lighting parameters and space wall material parameters; A modeling module, used to establish a spatial three-dimensional model corresponding to the target space based on a three-dimensional modeling algorithm and the spatial parameters, including: According to the space type, a corresponding type of space three-dimensional template is selected from a preset BIM template database; Modify the overall shape parameters and material parameters of the spatial three-dimensional template according to the spatial shape parameters and the spatial wall material parameters to obtain a modified three-dimensional template; The objective function is set to minimize the number of components in the spatial component scheme and minimize the complexity of components in the spatial component scheme; Setting restrictions includes: The ventilation environment formed by all components in the space component scheme meets the space ventilation position parameters; The heat conduction environment formed by all components in the spatial component scheme conforms to the spatial heat conduction position parameters; The lighting environment formed by all components in the spatial component scheme meets the spatial lighting parameters; According to the objective function and the constraint conditions, iteratively generate and optimize a spatial component solution in the modified three-dimensional template based on a dynamic programming algorithm until a converged spatial component solution calculation result is obtained as a spatial three-dimensional model corresponding to the target space; A layout module, used to arrange the air conditioning model in the three-dimensional model of the space according to the air conditioning parameters and a preset three-dimensional air conditioning model library to obtain a HVAC simulation model; The simulation module is used to perform simulation calculations on the HVAC simulation model based on multiple different temperature control scenario conditions, based on simulation algorithms and neural network algorithms to obtain simulation prediction results, including: Get simulation requirement targets; The simulation demand target is input into the trained prediction neural network of the temperature control scene condition to obtain a corresponding set of multiple temperature control scene condition parameters; the prediction neural network is trained by a training data set including multiple training simulation demand targets and corresponding temperature control scene condition parameter annotations; Each set of temperature control scene condition parameters is input into the HVAC simulation model based on AMESim software for simulation calculation to obtain the simulation prediction results corresponding to each set of temperature control scene condition parameters; the simulation prediction results are used to assist the HVAC layout of the target space.

6. A HVAC modeling and simulation system, characterized in that: The system 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 HVAC modeling and simulation method as described in any one of claims 1-4.

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