A method for simulating and displaying spatiotemporal data of regional energy consumption

Abstract

The invention relates to a method for simulating and displaying regional energy consumption spatiotemporal data, and belongs to the technical field of energy consumption simulation. The method comprises: obtaining outline vector data, basic attribute data, meteorological data and POI data of buildings in a to-be-simulated area; identifying the type of buildings in the to-be-simulated area according to the POI data, and obtaining building type data; obtaining thermal performance data of enclosure structures according to the outline vector data, basic attribute data, building type data and meteorological data; determining indoor setting parameters of buildings of various types according to the building type data; constructing a building attribute database according to the outline vector data, basic attribute data, building type data, thermal performance data of enclosure structures and indoor setting parameters; reconstructing a three-dimensional space data model of buildings in the to-be-simulated area according to the building attribute database; inputting the three-dimensional space data model and the building attribute database into an energy consumption simulation model to perform energy consumption simulation, and outputting hourly energy consumption intensity data of each building.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy consumption simulation, and in particular relates to a method for simulating and displaying spatiotemporal data of regional energy consumption. Background Art

[0002] With the continuous development of cities, more and more high-density urban areas have emerged, whose building density, building area and energy consumption levels are significantly higher than other urban areas in the city. The energy consumption situation in urban areas can reflect the status of regional energy conservation and carbon reduction to a certain extent, help to understand the overall energy consumption in urban areas, evaluate energy-saving renovation plans for old areas, and thus promote the implementation and management of regional emission reduction targets.

[0003] However, in the current urban development process, due to the lack of refined management methods and energy consumption data support system for cities, the energy consumption in some areas is too high or too low. It is extremely difficult to obtain energy consumption data in urban areas, and the classification of energy consumption items is vague and the measurement of items is incomplete, resulting in missed and re-measured energy consumption. Therefore, there is a technical problem in the energy consumption simulation method in the existing technology that it cannot accurately quantify energy consumption. Summary of the invention

[0004] In view of the above analysis, an embodiment of the present invention aims to provide a method for simulating and displaying spatiotemporal data of regional energy consumption, so as to solve the technical problem that energy consumption cannot be accurately quantified in the prior art.

[0005] The object of the present invention is achieved in that:

[0006] A first aspect of the present invention provides a method for simulating and displaying spatiotemporal data of regional energy consumption, comprising:

[0007] Obtain outline vector data, basic attribute data, meteorological data and POI data of buildings in the area to be simulated;

[0008] Identify the type of buildings in the area to be simulated according to the POI data to obtain building type data; obtain thermal performance data of the enclosure structure according to the contour vector data, basic attribute data, building type data and meteorological data; determine indoor setting parameters of each type of building according to the building type data;

[0009] Constructing a building attribute database according to the outline vector data, basic attribute data, building type data, thermal performance data of the enclosure structure and indoor setting parameters;

[0010] Reconstructing a three-dimensional spatial data model of buildings in the area to be simulated according to the building attribute database;

[0011] The three-dimensional space data model and the building attribute database are input into the energy consumption simulation model to perform energy consumption simulation, and the hourly energy consumption intensity data of each building in the area to be simulated is output.

[0012] Furthermore, the obtaining of contour vector data of buildings in the area to be simulated includes: obtaining the longitude and latitude range of the area to be simulated, and obtaining a satellite remote sensing image of the area to be simulated based on the longitude and latitude range; extracting contour vector data of buildings in the area to be simulated based on the satellite remote sensing image, and numbering the buildings from low to high according to the longitude and latitude.

[0013] Furthermore, the basic attribute data includes the number of building floors, building area and construction year; the POI data includes the building name, spatial coordinates and functional type.

[0014] Furthermore, identifying the type of buildings in the area to be simulated based on the POI data includes: associating the POI data with the buildings in the area to be simulated based on the spatial coordinates in the POI data and the longitude and latitude range of the area to be simulated; and determining the type of buildings in the area to be simulated based on the functional type in the POI data.

[0015] Furthermore, the thermal performance data of the envelope structure is obtained according to the contour vector data, basic attribute data, building type data and meteorological data, including: if the building type is a residential building, the energy-saving design standard of the residential building is determined according to the climate zone in which the building is located and the year it was built; if the building type is a public building, the shape coefficient is calculated according to the contour vector data, and the energy-saving design standard of the public building is determined according to the shape coefficient, the year it was built and the climate zone in which the building is located; according to the energy-saving design standard of residential buildings or public buildings, the thermal performance data of the envelope structure corresponding to the building is obtained.

[0016] Furthermore, the indoor setting parameters include an indoor setting parameter data set and an operation status data set; the indoor setting parameter data set includes indoor lighting power density, electrical equipment power density, personnel density, indoor temperature and humidity, and per capita fresh air volume; the operation status data set includes the hourly usage ratio of indoor lighting, the hourly usage ratio of electrical equipment, the hourly occupancy rate of personnel, the hourly operation status of fresh air, and the hourly temperature of heating and air conditioning.

[0017] Furthermore, the three-dimensional space data model and the building attribute database are input into the energy consumption simulation model to perform energy consumption simulation, including: the energy consumption simulation model determines the geometric characteristics of the building according to the three-dimensional space data model; calculates the cooling load according to the geometric characteristics, thermal performance data of the envelope structure and indoor setting parameters; and generates hourly energy consumption intensity data of each building in the area to be simulated according to the cooling load.

[0018] A second aspect of the present invention provides a device for simulating and displaying spatiotemporal data of regional energy consumption, comprising:

[0019] An acquisition module is used to acquire the outline vector data, basic attribute data, meteorological data and POI data of the buildings in the area to be simulated;

[0020] A data processing module, for identifying the type of buildings in the area to be simulated according to the POI data, and obtaining building type data; obtaining thermal performance data of the enclosure structure according to the contour vector data, basic attribute data, building type data and meteorological data; and determining indoor setting parameters of each type of building according to the building type data;

[0021] A database construction module, used to construct a building attribute database according to the outline vector data, basic attribute data, building type data, thermal performance data of the enclosure structure and indoor setting parameters;

[0022] A three-dimensional model reconstruction module, used to reconstruct a three-dimensional spatial data model of the building in the area to be simulated according to the building attribute database;

[0023] An energy consumption simulation module, used for inputting the three-dimensional spatial data model and the building attribute database into the energy consumption simulation model to perform energy consumption simulation, and outputting hourly energy consumption intensity data of each building in the area to be simulated;

[0024] The display module is used to generate a visualized three-dimensional space energy consumption model based on the three-dimensional space data model and the hourly energy consumption intensity data of each building.

[0025] A third aspect of the present invention provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the method for simulating and displaying the spatiotemporal data of regional energy consumption described in any embodiment is implemented.

[0026] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for simulating and displaying spatiotemporal data of regional energy consumption as described in any one of the embodiments.

[0027] Compared with the prior art, the present invention can achieve at least one of the following beneficial effects:

[0028] The method for simulating and displaying the spatiotemporal data of regional energy consumption provided by the present invention obtains building type data, thermal performance data of enclosure structures and indoor setting parameters by analyzing the outline data, basic attribute data, meteorological data and POI data of buildings in the area to be simulated, and then constructs a building attribute database covering various building characteristics, and then reconstructs a three-dimensional space data model based on the building attribute database, and then performs energy consumption simulation, thereby realizing accurate analysis and quantification of the spatiotemporal distribution characteristics of energy consumption in the area to be simulated and displaying them in the three-dimensional space data model. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the embodiments of this specification. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0030] Figure 1 A flow chart of a method for simulating and displaying spatiotemporal data of regional energy consumption provided in Example 1 of the present invention;

[0031] Figure 2 A schematic diagram of a device for simulating and displaying spatiotemporal data of regional energy consumption provided in Example 2 of the present invention;

[0032] Figure 3 This is a schematic diagram of the electronic device architecture provided in Example 3 of the present invention. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions 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 part of the embodiments of the present invention, not all of the embodiments. It should be noted that, in the absence of conflict, the embodiments and features in the embodiments disclosed in this disclosure can be combined, separated, interchanged and / or rearranged with each other. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0034] Example 1

[0035] A specific embodiment of the present invention, as Figure 1 As shown, a method for simulating and displaying regional energy consumption spatiotemporal data is disclosed, comprising the following steps:

[0036] S1. Obtain outline vector data, basic attribute data, meteorological data and POI data of buildings in the area to be simulated.

[0037] In this embodiment, step S1 specifically includes:

[0038] S101, obtaining the latitude and longitude range of the area to be simulated, and obtaining a satellite remote sensing image of the area to be simulated based on the latitude and longitude range; extracting contour vector data of buildings in the area to be simulated according to the satellite remote sensing image, and numbering the buildings from low to high according to the latitude and longitude;

[0039] Among them, basic attribute data include the number of building floors, building area and construction year; POI data include building name, spatial coordinates and functional type.

[0040] Exemplarily, ArcGIS Pro software is used to delineate a closed range as the area to be simulated. The software displays the latitude and longitude range of the area to be simulated. The satellite remote sensing image of the area to be simulated is input into the software. The image processing tool in the software will extract the outline vector data of the buildings in the area and number the buildings.

[0041] S102, obtaining basic attribute data including the number of building floors, building area and construction year in the area to be simulated;

[0042] For example, the number of building floors is measured by combining ground and aerial remote sensing data collected by oblique photography with three-dimensional modeling technology, the building area is estimated by calculating the closed polygon area of ​​the building outline and combining it with the number of building floors, and the construction year of the building is obtained through a public database.

[0043] S103, determining the climate zone in which the area to be simulated is located according to the latitude and longitude range of the area to be simulated and the climate zone division standard, and obtaining meteorological data;

[0044] Exemplarily, the latitude and longitude range of the area to be simulated is compared with the latitude and longitude coordinates of the climate zone in the climate zone division standard "Building Climate Zoning Standard" (GB 50178-93), the climate zone in which the area to be simulated is located is determined, and the meteorological data of the climate zone is obtained from the meteorological database.

[0045] S104, acquiring POI data including building names, spatial coordinates and functional types based on the latitude and longitude range of the area to be simulated;

[0046] Exemplarily, based on the Amap open platform, all building POI attribute information of buildings in the area to be simulated is crawled according to the order of building numbers in the building attribute library from small to large.

[0047] S2. Identify the type of buildings in the area to be simulated according to the POI data to obtain building type data; obtain thermal performance data of the enclosure structure according to the contour vector data, basic attribute data, building type data and meteorological data; determine indoor setting parameters for each type of building according to the building type data.

[0048] In this embodiment, step S2 specifically includes:

[0049] S201, according to the spatial coordinates in the POI data and the latitude and longitude range of the area to be simulated, the POI data is associated with the buildings in the area to be simulated; according to the functional type in the POI data, the type of the building in the area to be simulated is determined;

[0050] Specifically, by matching the spatial coordinates of the buildings in the POI data with the longitude and latitude of the buildings in the area to be simulated, a one-to-one correspondence between the POI data and the buildings in the area to be simulated is established, so that the building type is approximately determined according to its actual function based on the functional type in the POI data. The building types of all buildings constitute the building type data. For example, the buildings in the area to be simulated are divided into the types shown in Table 1.

[0051]

[0052] S202. If the building type is a residential building, determine the energy-saving design standard of the residential building according to the climate zone where the building is located and the year it was built; if the building type is a public building, calculate the shape coefficient according to the outline vector data, and determine the energy-saving design standard of the public building according to the shape coefficient, the year it was built and the climate zone where the building is located; according to the energy-saving design standard of the residential building or the public building, obtain the thermal performance data of the envelope structure corresponding to the building;

[0053] Specifically, as shown in Table 1, buildings can be divided into residential buildings and public buildings according to the first-level classification. For residential buildings, the energy-saving design standards applicable to the period can be determined according to the climate zone in which they are located and the year they were built. For example, in cold areas, before 1996, the "Civil Building Energy-Saving Design Standard (Heating Residential Building Part)" JGJ26-86 was applicable; for public buildings, since the appearance and structure of public buildings are relatively complex, the shape coefficient of the building should be calculated before determining the energy-saving design standard in order to find the energy-saving design standard more accurately. The shape coefficient of the public building numbered i is expressed as: , represents the total external surface area of ​​the building numbered i, Represents the volume of the building numbered i, and then determines the applicable energy-saving design standard based on its climate zone, construction year and shape coefficient; finally, queries the thermal performance data of the envelope structure corresponding to each building in the area to be simulated from the applicable energy-saving design standard. The thermal performance data of the envelope structure include the heat transfer coefficient of the exterior wall, roof, exterior window, solar heat gain coefficient of the exterior window and other information.

[0054] In this embodiment, the indoor setting parameters include an indoor setting parameter data set and an operating status data set; the indoor setting parameter data set includes indoor lighting power density, electrical equipment power density, personnel density, indoor temperature and humidity, and per capita fresh air volume; the operating status data set includes the hourly usage ratio of indoor lighting, the hourly usage ratio of electrical equipment, the hourly occupancy rate of personnel, the hourly operation status of fresh air, and the hourly temperature of heating and air conditioning.

[0055] Specifically, the indoor setting parameter data set comes from the building design stage and is set according to the building's functions, comfort requirements and specifications; the operation status data set comes from dynamic data in actual use of the building, which is obtained through the building management system or the equipment and personnel usage in the building; among them, the indoor lighting power density represents the power demand of the lighting system per unit area, the electrical equipment power density represents the power demand of the electrical equipment per unit area, the personnel density represents the number of people per unit area, the indoor temperature and humidity are the target environmental conditions set inside the building, the per capita fresh air volume represents the amount of fresh air required for each occupant, the hourly use ratio of indoor lighting represents the hourly use of the indoor lighting system, the hourly use ratio of electrical equipment represents the hourly use of electrical equipment, the hourly occupancy rate of personnel represents the actual occupancy of personnel in a certain period of time, that is, how many people are active inside the building during a certain period of time, the hourly operation status of fresh air represents the hourly operation status of the fresh air system, and the hourly temperature of heating and air conditioning represents the hourly setting changes of the temperature inside the building in the heating and air conditioning systems.

[0056] S3. Construct a building attribute database according to the outline vector data, basic attribute data, building type data, thermal performance data of the building envelope and indoor setting parameters.

[0057] In this embodiment, after obtaining and processing various types of building attributes of each building in the area to be simulated through steps S1-S2, the various types of building attributes of all buildings in the area to be simulated are combined according to the numbers of each building in the area to be simulated to form a building attribute database, providing data support for subsequent energy consumption simulation software.

[0058] In some embodiments, after extracting the outline vector data of each building in step S101, a building attribute database may be constructed first, and then the basic attribute data, building type data, thermal performance data of the envelope structure and indoor setting parameters may be gradually superimposed into the building attribute database.

[0059] S4. Reconstruct a three-dimensional spatial data model of the buildings in the area to be simulated according to the building attribute database.

[0060] Specifically, the process of reconstructing the three-dimensional spatial data model is as follows: input the building attribute database into ArcGIS Pro software, convert the two-dimensional contour vector data in the building attribute database into three-dimensional data, and then combine the basic attribute data, building type data, thermal performance data of the envelope structure and indoor setting parameters with the three-dimensional contour data to form a three-dimensional spatial data model.

[0061] S5. Input the three-dimensional space data model and the building attribute database into an energy consumption simulation model to perform energy consumption simulation, and output the hourly energy consumption intensity data of each building in the area to be simulated.

[0062] In this embodiment, step S5 specifically includes:

[0063] S501, the energy consumption simulation model determines the geometric characteristics of the building according to the three-dimensional space data model;

[0064] Exemplarily, an energy consumption simulation model, such as Energy Plus, reads building geometry information in a three-dimensional spatial data model, including the area, orientation, and inclination angle of each building surface, to determine the heat transfer direction and heating surface of the building envelope.

[0065] S502, calculating the cooling load according to the geometric characteristics, thermal performance data of the enclosure structure and indoor setting parameters;

[0066] Specifically, cooling loads include:

[0067] (I) The cooling load caused by the unsteady-state heat transfer through the building envelope includes:

[0068] The hourly cooling load caused by heat transfer from the exterior wall is expressed as ; The hourly cooling load formed by roof heat transfer is expressed as ; The hourly cooling load caused by heat transfer from the exterior window is expressed as ;in, , and They represent the heat transfer coefficients of the exterior wall, roof and exterior window in the thermal performance data of the enclosure structure, , and Represent the areas of exterior walls, roofs and exterior windows respectively. , and The hourly cooling load calculation temperatures represented by the two parameters can be obtained by querying the energy-saving design standards and indoor setting parameters. Indicates the indoor temperature.

[0069] (II) The cooling load caused by the non-steady-state solar radiation heat entering through the transparent envelope structure is expressed as follows:

[0070] ,in , It represents the solar radiation cooling load coefficient through standard unshaded glass. represents the comprehensive shading coefficient of the external window, and They represent the external shading correction coefficient and the internal shading correction coefficient respectively. represents the glass correction factor, Indicates the maximum value of the solar heat gain factor in summer. It represents the net area of ​​window glass. Several parameters can be obtained by querying energy-saving design standards and indoor setting parameters.

[0071] (III) Cooling load caused by human body, lighting and equipment heat dissipation, including:

[0072] The hourly cooling load caused by human body heat dissipation (sensible heat) is expressed as ; The hourly cooling load caused by lighting heat dissipation is expressed as ; The hourly cooling load formed by the equipment heat dissipation is expressed as ,in, represents the human cooling load coefficient, represents the clustering coefficient, Indicates the amount of heat dissipated by the human body (sensible heat). represents the lighting cooling load coefficient, represents the lighting correction factor, Indicates the amount of heat dissipated by lighting. Indicates the equipment cooling load coefficient, represents the equipment correction factor, Indicates the heat dissipation of the equipment. Several parameters can be obtained by querying the energy-saving design standards and indoor setting parameters.

[0073] S503: Generate hourly energy consumption intensity data of each building in the area to be simulated according to the cooling load.

[0074] Specifically, an energy consumption simulation model, such as Energy Plus, simulates the energy consumption of each building in the simulated area under different external conditions and internal usage conditions hourly according to the cooling load to obtain hourly energy consumption intensity data.

[0075] S6. Generate a visualized three-dimensional space energy consumption model based on the three-dimensional space data model and the hourly energy consumption intensity data of each building.

[0076] Specifically, the three-dimensional spatial data model obtained in step S4 and the hourly energy consumption intensity data simulated in step S5 are input into the ArcGIS Pro model to generate a visualized three-dimensional spatial energy consumption model, which represents the energy consumption intensity by means of color gradients. Different colors represent the difference in the energy consumption intensity values ​​of the target building at the hourly moment, so as to display the energy consumption intensity data in the three-dimensional spatial data model, thereby helping users to intuitively understand and analyze the spatiotemporal distribution characteristics of energy consumption in the region. For example, the energy consumption intensity data of all buildings at the hourly moment, the energy consumption intensity data of all buildings of a certain building type in the area to be simulated at the hourly moment, and the energy consumption intensity data of all buildings of a certain construction era in the area to be simulated at the hourly moment can be displayed.

[0077] Compared with the prior art, the method for simulating and displaying the spatiotemporal data of regional energy consumption provided in this embodiment obtains building type data, thermal performance data of envelope structures and indoor setting parameters by analyzing the outline data, basic attribute data, meteorological data and POI data of buildings in the area to be simulated, and then constructs a building attribute database covering various building characteristics, and then reconstructs a three-dimensional space data model based on the building attribute database, and then performs energy consumption simulation, thereby realizing accurate analysis and quantification of the spatiotemporal distribution characteristics of energy consumption in the area to be simulated and displaying them in the three-dimensional space data model.

[0078] Example 2

[0079] This embodiment provides a device for simulating and displaying regional energy consumption spatiotemporal data, such as Figure 2 As shown, including:

[0080] An acquisition module is used to acquire the outline vector data, basic attribute data, meteorological data and POI data of the buildings in the area to be simulated;

[0081] A data processing module, for identifying the type of buildings in the area to be simulated according to the POI data, and obtaining building type data; obtaining thermal performance data of the enclosure structure according to the contour vector data, basic attribute data, building type data and meteorological data; and determining indoor setting parameters of each type of building according to the building type data;

[0082] A database construction module, used to construct a building attribute database according to the outline vector data, basic attribute data, building type data, thermal performance data of the enclosure structure and indoor setting parameters;

[0083] A three-dimensional model reconstruction module, used to reconstruct a three-dimensional spatial data model of the building in the area to be simulated according to the building attribute database;

[0084] An energy consumption simulation module, used for inputting the three-dimensional spatial data model and the building attribute database into the energy consumption simulation model to perform energy consumption simulation, and outputting hourly energy consumption intensity data of each building in the area to be simulated;

[0085] The display module is used to generate a visualized three-dimensional space energy consumption model based on the three-dimensional space data model and the hourly energy consumption intensity data of each building.

[0086] Example 3

[0087] This embodiment provides an electronic device, such as Figure 3 As shown, it includes a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, it implements the method of simulating and displaying the spatiotemporal data of regional energy consumption as described in any of the above embodiments.

[0088] Example 4

[0089] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the method for simulating and displaying the spatiotemporal data of regional energy consumption as described in any of the above embodiments is implemented.

[0090] Computer readable storage 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 tape 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.

[0091] The professionals should further realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to the function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0092] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0093] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for simulating and displaying regional energy consumption spatiotemporal data, characterized in that: include: Obtain outline vector data, basic attribute data, meteorological data and POI data of buildings in the area to be simulated; Identify the type of buildings in the area to be simulated according to the POI data to obtain building type data; Obtain thermal performance data of the enclosure structure according to the outline vector data, basic attribute data, building type data and meteorological data; determine indoor setting parameters of each type of building according to the building type data; Constructing a building attribute database according to the outline vector data, basic attribute data, building type data, thermal performance data of the enclosure structure and indoor setting parameters; Reconstructing a three-dimensional spatial data model of buildings in the area to be simulated according to the building attribute database; Inputting the three-dimensional spatial data model and the building attribute database into the energy consumption simulation model to perform energy consumption simulation, and outputting the hourly energy consumption intensity data of each building in the area to be simulated; A visualized three-dimensional space energy consumption model is generated according to the three-dimensional space data model and the hourly energy consumption intensity data of each building.

2. The method for simulating and displaying spatiotemporal data of regional energy consumption according to claim 1, characterized in that: The step of obtaining the outline vector data of the buildings in the area to be simulated includes: Obtain the latitude and longitude range of the area to be simulated, and obtain the satellite remote sensing image of the area to be simulated based on the latitude and longitude range; The outline vector data of the buildings in the area to be simulated are extracted based on satellite remote sensing images, and the buildings are numbered from low to high according to longitude and latitude.

3. The method for simulating and displaying spatiotemporal data of regional energy consumption according to claim 2, characterized in that: The basic attribute data include the number of building floors, building area and construction year; the POI data include building name, spatial coordinates and functional type.

4. The method for simulating and displaying spatiotemporal data of regional energy consumption according to claim 3, characterized in that: The identifying the type of buildings in the area to be simulated according to the POI data comprises: Associating the POI data with the buildings in the area to be simulated according to the spatial coordinates in the POI data and the latitude and longitude range of the area to be simulated; The type of buildings in the area to be simulated is determined according to the functional type in the POI data.

5. The method for simulating and displaying spatiotemporal data of regional energy consumption according to claim 2, characterized in that: The thermal performance data of the enclosure structure is obtained according to the contour vector data, basic attribute data, building type data and meteorological data, including: If the building type is a residential building, the energy-saving design standard for residential buildings shall be determined according to the climate zone where the building is located and the year it was built; If the building type is a public building, a shape coefficient is calculated according to the outline vector data, and an energy-saving design standard for the public building is determined according to the shape coefficient, the year of construction, and the climate zone where the building is located; According to the energy-saving design standards of residential buildings or public buildings, obtain the thermal performance data of the building's corresponding envelope structure.

6. The method for simulating and displaying regional energy consumption spatiotemporal data according to claim 1, characterized in that: The indoor setting parameters include an indoor setting parameter data set and an operation status data set; the indoor setting parameter data set includes indoor lighting power density, electrical equipment power density, personnel density, indoor temperature and humidity, and per capita fresh air volume; the operation status data set includes the hourly usage ratio of indoor lighting, the hourly usage ratio of electrical equipment, the hourly occupancy rate of personnel, the hourly operation status of fresh air, and the hourly temperature of heating and air conditioning.

7. The method for simulating and displaying spatiotemporal data of regional energy consumption according to claim 5, characterized in that: The step of inputting the three-dimensional space data model and the building attribute database into the energy consumption simulation model to perform energy consumption simulation includes: The energy consumption simulation model determines the geometric characteristics of the building according to the three-dimensional spatial data model; Calculate cooling load based on the geometric characteristics, thermal performance data of the building envelope and indoor setting parameters; The hourly energy consumption intensity data of each building in the area to be simulated is generated according to the cooling load.

8. A device for simulating and displaying spatiotemporal data of regional energy consumption, characterized in that: The device comprises: An acquisition module is used to acquire the outline vector data, basic attribute data, meteorological data and POI data of the buildings in the area to be simulated; A data processing module, for identifying the type of buildings in the area to be simulated according to the POI data, and obtaining building type data; obtaining thermal performance data of the enclosure structure according to the contour vector data, basic attribute data, building type data and meteorological data; and determining indoor setting parameters of each type of building according to the building type data; A database construction module, used to construct a building attribute database according to the outline vector data, basic attribute data, building type data, thermal performance data of the enclosure structure and indoor setting parameters; A three-dimensional model reconstruction module, used to reconstruct a three-dimensional spatial data model of the building in the area to be simulated according to the building attribute database; An energy consumption simulation module, used for inputting the three-dimensional spatial data model and the building attribute database into the energy consumption simulation model to perform energy consumption simulation, and outputting hourly energy consumption intensity data of each building in the area to be simulated; The display module is used to generate a visualized three-dimensional space energy consumption model based on the three-dimensional space data model and the hourly energy consumption intensity data of each building.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the method for simulating and displaying spatiotemporal data of regional energy consumption as described in any one of claims 1 to 7 is implemented.

10. A storage medium, characterized in that: A computer program is stored thereon, and when the program is executed by a processor, the method for simulating and displaying the spatiotemporal data of regional energy consumption as described in any one of claims 1 to 7 is implemented.

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