A method and system for optimizing energy consumption of intelligent building energy-consuming equipment

Abstract

This invention discloses an energy consumption optimization method and system for intelligent building energy-consuming equipment, relating to the field of building energy-consuming equipment layout. It discloses a method for creating a simulated real-time lighting environment based on real-time solar radiation parameters and indoor lighting data; determining whether the current indoor illuminance and illumination range meet preset lighting targets; optimizing indoor lighting data when not meeting targets; predicting the indoor lighting energy consumption of the simulated building scene based on the indoor lighting data when targets are met; and increasing the illuminance and / or illumination range of multiple energy-consuming equipment by adjusting the layout scheme of lighting fixtures and energy-consuming equipment, and adjusting the number and brightness of each corresponding lighting fixture based on the increased illuminance and / or illumination range to optimize the indoor lighting energy consumption of the simulated building scene. This invention meets the demand for low energy consumption and achieves a more efficient equipment layout.

Description

Technical Field

[0001] This invention relates to the field of building energy equipment layout, and specifically to an energy consumption optimization method and system for intelligent building energy equipment. Background Technology

[0002] Currently, the Revit platform is widely used in architectural design for creating Building Information Models (BIM). However, the commonly used Dynamo platform has limited functionality when handling complex project requirements and cannot meet some low-energy consumption needs. Specifically, Dynamo performs poorly when handling complex logic and large-scale data, making it difficult to perform efficient equipment layout optimization. Furthermore, Dynamo's functional modules are relatively fixed, making it difficult to flexibly expand and customize, thus failing to meet diverse architectural design needs. Some Revit functions or APIs cannot be directly called in Dynamo, limiting users' operational and optimization capabilities in building energy-consuming equipment design. Therefore, there is a need for an intelligent energy consumption optimization method and system for building energy-consuming equipment, enabling it to intelligently meet low-energy consumption requirements through the layout of building energy-consuming equipment and achieve more efficient equipment placement. Summary of the Invention

[0003] The technical problem to be solved by the present invention is how to meet the low energy consumption demand through the intelligent layout of building energy-consuming equipment and achieve a more efficient equipment layout. The purpose is to provide an intelligent building energy-consuming equipment energy consumption optimization method and system, which solves the above-mentioned technical problem.

[0004] This invention is achieved through the following technical solution:

[0005] A method for optimizing the energy consumption of intelligent building energy-consuming equipment includes:

[0006] Construct a simulated building scenario containing multiple energy-consuming devices based on energy-consuming device data;

[0007] Based on real-time solar radiation parameters and indoor lighting data, a simulated real-time lighting environment is created for the simulated building scene.

[0008] Based on the simulated real-time lighting environment, determine whether the current indoor illumination and illumination range meet the preset lighting target; if the preset lighting target is not met, optimize the indoor lighting data to achieve the preset lighting target;

[0009] When the preset lighting target is reached, the indoor lighting energy consumption of the simulated building scene is calculated based on the indoor lighting data.

[0010] By adjusting the layout of lighting fixtures and energy-consuming equipment, the luminous intensity and / or illumination range of multiple energy-consuming equipment is increased, and the number of lights turned on and the brightness of each corresponding light fixture are adjusted according to the increased luminous intensity and / or illumination range, so as to optimize the indoor lighting energy consumption of the simulated building scene.

[0011] The construction of a simulated building scene containing multiple energy-consuming devices based on energy-consuming device data includes:

[0012] Based on the interior style, size, number, and location of the rooms, as well as the size, number, location, area, and light transmittance of the doors and windows in each room, a simulated architectural scene template containing multiple rooms is created; the energy-consuming equipment data includes the type, size, shape, location, quantity, and model of the energy-consuming equipment; after adding the simulated architectural scene template, one or more energy-consuming devices are placed in the corresponding rooms of the simulated architectural scene template.

[0013] The step of creating a simulated real-time lighting environment for the simulated building scene based on real-time solar radiation parameters and indoor lighting data includes:

[0014] The location, direction, and intensity of sunlight are obtained based on real-time sunlight-related parameters. The indoor sunlight environment of the simulated building scene is simulated by considering the size, number, location, area, and light transmittance of doors and windows in each room, the location, direction, brightness, and range of sunlight, and the size, shape, location, and number of energy-consuming devices in each room. Based on the indoor lighting data and the size, shape, location, and number of energy-consuming devices in each room, an indoor lighting environment is generated in the simulated building scene using the principle of light illumination. Combining the real-time indoor sunlight environment and the indoor lighting environment of multiple energy-consuming devices, a simulated real-time lighting environment containing projections from multiple energy-consuming devices is obtained.

[0015] The step of obtaining the location, direction, brightness, and range of sunlight based on real-time sunlight-related parameters includes:

[0016] The solar radiation-related parameters also include indoor lighting-related parameters; the detected values ​​of solar radiation location, solar radiation direction, solar radiation intensity, and solar radiation range are corrected according to the weights of the indoor lighting-related parameters.

[0017] The indoor lighting-related parameters include any one or more of the following: concentration of one or more air medium components, air visibility, air humidity, air PM value, and temperature.

[0018] The step of generating an indoor lighting environment in the simulated architectural scene based on the indoor lighting data and the size, shape, location, and quantity of energy-consuming devices in each room, using the principle of light illumination, includes: the indoor lighting data including the location, quantity, size, and brightness of the lighting fixtures; obtaining the lighting range and intensity of each room based on the indoor lighting data according to the principle of light illumination; and obtaining the lighting range and illuminance of the simulated architectural scene under indoor lighting based on the lighting range and intensity of each room, as well as the size, shape, location, and quantity of each energy-consuming device in that room.

[0019] The step of calculating the indoor lighting energy consumption of the simulated building scene based on the indoor lighting data when the preset lighting target is reached includes: the indoor lighting data includes the number, brightness and model of the lighting fixtures; obtaining the preset energy consumption per unit time of each lighting fixture based on the number, model and brightness of the lighting fixtures; and calculating the indoor lighting energy consumption of all lighting fixtures based on the preset on time of each lighting fixture and the preset energy consumption per unit time.

[0020] The step of determining whether the current indoor illuminance and illuminance range meet the preset illuminance target based on the simulated real-time lighting environment includes:

[0021] The illumination intensity and illumination range of multiple areas in the simulated building scene are collected; it is determined whether the illumination intensity and illumination range of each area are lower than a preset threshold; when the illumination intensity and illumination range of any area are lower than the preset threshold, it means that the area has not reached the preset illumination target; otherwise, all areas have reached the preset illumination target.

[0022] When the preset illumination target is not achieved, optimizing the indoor lighting data to achieve the preset illumination target includes:

[0023] When the preset lighting target is not achieved in any area, the indoor lighting data can be adjusted by increasing the number of lights or replacing the lights multiple times to achieve the preset lighting target.

[0024] The method of increasing the luminous intensity and / or illumination range of multiple energy-consuming devices by adjusting the layout of lighting fixtures and energy-consuming devices, and adjusting the number and brightness of each corresponding lighting fixture according to the increased luminous intensity and / or illumination range, to optimize the indoor lighting energy consumption of the simulated building scenario, includes:

[0025] The method of increasing the illumination intensity and / or illumination range of multiple energy-consuming devices by adjusting the layout of lighting fixtures and energy-consuming devices includes at least one of the following methods: increasing the illumination intensity and / or illumination range of multiple energy-consuming devices by repeatedly reducing the usage area of ​​multiple energy-consuming devices; moving each energy-consuming device out of the light-blocking area to increase the illumination intensity and / or illumination range of multiple energy-consuming devices; adjusting the position between each lighting fixture and different energy-consuming devices to increase the illumination intensity and / or illumination range of multiple energy-consuming devices; after increasing the illumination intensity and / or illumination range of multiple energy-consuming devices by adjusting the layout of lighting fixtures and energy-consuming devices, the illumination intensity and / or illumination range of multiple energy-consuming devices all reach a preset threshold.

[0026] The adjustment of the number of lamps turned on and the brightness of each lamp according to the increased illumination and / or illumination range includes at least one of the following schemes: by increasing the area of ​​illumination and / or illumination range of multiple energy-consuming devices, reducing the number of lamps turned on and reducing the brightness of the lamps, so that the indoor lighting energy consumption is lower than or equal to the preset energy consumption target.

[0027] After optimizing the indoor lighting energy consumption of the indoor lighting fixtures by adjusting the layout scheme of the lighting fixtures and energy-consuming equipment, the method further includes: collecting multiple sets of lighting energy consumption optimization layout data; each set of lighting energy consumption optimization layout data includes: the sunshine-related parameters, the indoor lighting fixture data, the energy-consuming equipment data, the indoor lighting energy consumption, and the layout scheme of the lighting fixtures and energy-consuming equipment; the multiple sets of lighting energy consumption optimization layout data are used to train a lighting energy consumption optimization layout training model; the lighting energy consumption optimization layout training model is used to output the layout scheme of the lighting fixtures and energy-consuming equipment for the lighting energy consumption optimization layout data to be tested.

[0028] An energy consumption optimization system for intelligent building energy-consuming equipment includes:

[0029] Building Scene Construction Module: Used to construct a simulated building scene containing multiple energy-consuming devices based on energy-consuming device data;

[0030] Lighting environment simulation module: used to create a simulated real-time lighting environment for the simulated building scene based on real-time sunlight-related parameters and indoor lighting data;

[0031] Illumination target determination module: used to determine whether the current indoor illumination intensity and illumination range have reached the preset illumination target based on the simulated real-time illumination environment; when the preset illumination target has not been reached, the indoor lighting data is optimized to achieve the preset illumination target;

[0032] Lighting energy consumption calculation module: used to calculate the indoor lighting energy consumption of the simulated building scene based on the indoor lighting data when the preset lighting target is reached;

[0033] Lighting energy consumption optimization module: used to increase the brightness and / or illumination range of multiple energy-consuming devices by adjusting the layout of lighting fixtures and energy-consuming devices, and to adjust the number of lights turned on and the brightness of each corresponding lighting fixture according to the increased brightness and / or illumination range, so as to optimize the indoor lighting energy consumption of the simulated building scene.

[0034] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0035] This invention constructs a simulated building scene containing multiple energy-consuming devices based on energy-consuming device data; it creates a simulated real-time lighting environment for multiple energy-consuming devices within the simulated building scene based on real-time sunlight parameters and indoor lighting data; it determines whether the current indoor light intensity meets the requirements based on the simulated real-time lighting environment and optimizes the indoor lighting data to meet preset lighting targets; it calculates the indoor lighting energy consumption based on the optimized indoor lighting data, thereby reducing actual energy consumption and optimizing indoor lighting energy consumption through the layout scheme of indoor energy-consuming devices and lighting fixtures. This invention can intelligently meet low-energy consumption requirements through the layout of building energy-consuming devices, achieving a more efficient device layout. Attached Figure Description

[0036] To more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0037] In the picture:

[0038] Figure 1 This is a flowchart of the energy consumption optimization method for intelligent building energy-consuming equipment according to Embodiment 1 of the present invention;

[0039] Figure 2 This is a schematic diagram of the energy consumption optimization system for intelligent building energy equipment in Embodiment 2 of the present invention. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0041] Example 1

[0042] like Figure 1 As shown in the figure, this application provides an energy consumption optimization method for intelligent building energy-consuming equipment, including:

[0043] Construct a simulated building scenario containing multiple energy-consuming devices based on energy-consuming device data;

[0044] Based on real-time solar radiation parameters and indoor lighting data, a simulated real-time lighting environment is created for the simulated building scene.

[0045] Based on the simulated real-time lighting environment, determine whether the current indoor illumination and illumination range meet the preset lighting target; if the preset lighting target is not met, optimize the indoor lighting data to achieve the preset lighting target;

[0046] When the preset lighting target is reached, the indoor lighting energy consumption of the simulated building scene is calculated based on the indoor lighting data.

[0047] By adjusting the layout of lighting fixtures and energy-consuming equipment, the luminous intensity and / or illumination range of multiple energy-consuming equipment is increased, and the number of lights turned on and the brightness of each corresponding light fixture are adjusted according to the increased luminous intensity and / or illumination range, so as to optimize the indoor lighting energy consumption of the simulated building scene.

[0048] The energy-consuming equipment data can include data on various energy-consuming devices such as air conditioners, heating systems, and industrial processing equipment, including parameters such as product size, shape, installation location, model, performance, power consumption, and production capacity. When constructing a simulated building scenario with multiple energy-consuming equipment layouts based on the energy-consuming equipment data, the corresponding energy-consuming equipment is placed in pre-configured locations within the simulated building scenario. The locations of each pre-configured energy-consuming device in the simulated building scenario can be allocated according to the power supply conditions, installation conditions, and usage requirements of the corresponding environment. Sunlight-related parameters can include outdoor sunlight-related parameters and indoor lighting-related parameters. For example, outdoor sunlight-related parameters can include the intensity and range of outdoor sunlight, as well as factors such as outdoor weather, air quality, visibility, and humidity; indoor lighting-related parameters can include indoor air quality, visibility, humidity, and temperature, which affect sunlight. Air quality can be the PM value and the concentration of one or more airborne components. Indoor lighting data can include the on / off status, size, quantity, installation location, specifications, model, brightness, lighting range, and power consumption of indoor lighting fixtures. Based on real-time solar radiation parameters and indoor lighting data, the illuminance and illumination range of each room in the building scene are obtained, and a simulated real-time lighting environment for illuminating each energy-consuming device in the room is generated based on the illuminance and illumination range.

[0049] The system determines whether the current indoor illuminance and illumination range meet the preset illumination targets based on the simulated real-time lighting environment. If not, the system adjusts the illuminance and illumination range using various parameters from the indoor lighting fixtures to meet the preset targets. Furthermore, the layout of lighting fixtures and energy-consuming equipment is adjusted to reduce the impact of different fixtures on the illuminance and illumination range of each energy-consuming device, thereby increasing both illuminance and illumination range. This layout is determined based on the location of each fixture, the location of each energy-consuming device, the relative distances and directions between different fixtures, the relative distances and directions between different energy-consuming devices, and the relative distances and directions between different energy-consuming devices and their respective fixtures. Different layout schemes expand illuminance and / or illumination range, reduce energy consumption in each area, and optimize the overall lighting energy consumption of the work environment through equipment layout.

[0050] The construction of a simulated building scene containing multiple energy-consuming devices based on energy-consuming device data includes:

[0051] Based on the interior style, size, number, and location of the rooms, as well as the size, number, location, area, and light transmittance of the doors and windows in each room, a simulated architectural scene template containing multiple rooms is created; the energy-consuming equipment data includes the type, size, shape, location, quantity, and model of the energy-consuming equipment; after adding the simulated architectural scene template, one or more energy-consuming devices are placed in the corresponding rooms of the simulated architectural scene template.

[0052] The interior layout is determined based on the scenario type of the current simulated building scene. For example, if the scenario type is residential, the interior layout includes bedrooms, kitchens, and living rooms; if the scenario type is company, the interior layout includes meeting rooms, offices, lounges, and reception rooms; and if the scenario type is factory, the interior layout includes processing plants, offices, canteens, and dormitories. This simulates the layout of energy-consuming equipment for different application scenarios. By supporting the setting of specifications and door / window parameters for each room in the simulated building scene, the influence of the outdoor environment on the interior can be obtained by combining door / window parameters and sunlight-related parameters, and personalized customization of the simulated building scene template is also achieved. Energy-consuming equipment data for multiple devices is added to each room in the simulated building scene to construct a simulated building scene containing multiple energy-consuming devices. The location of the energy-consuming devices is defined by their three-dimensional coordinates within the simulated building scene; the orientation of multiple energy-consuming devices in the simulated building scene is set to default directions, such as against a wall, facing forward, horizontally, and vertically, for easy viewing and adjustment.

[0053] The step of creating a simulated real-time lighting environment for the simulated building scene based on real-time solar radiation parameters and indoor lighting data includes:

[0054] The location, direction, and intensity of sunlight are obtained based on real-time sunlight-related parameters. The indoor sunlight environment of the simulated building scene is simulated by considering the size, number, location, area, and light transmittance of doors and windows in each room, the location, direction, brightness, and range of sunlight, and the size, shape, location, and number of energy-consuming devices in each room. Based on the indoor lighting data and the size, shape, location, and number of energy-consuming devices in each room, an indoor lighting environment is generated in the simulated building scene using the principle of light illumination. Combining the real-time indoor sunlight environment and the indoor lighting environment of multiple energy-consuming devices, a simulated real-time lighting environment containing projections from multiple energy-consuming devices is obtained.

[0055] Based on the aforementioned parameters related to room doors, windows, and sunlight, the illumination range and intensity of sunlight entering the room through doors and windows can be obtained. Then, the size, shape, location, and number of energy-consuming devices in each room are considered under this illumination range and intensity, along with the projected area due to obstruction by these devices, resulting in the indoor sunlight illumination environment. Similarly, based on the aforementioned indoor lighting data, the size, shape, location, and number of energy-consuming devices in each room are considered, along with the projected area due to obstruction, generating the indoor artificial lighting environment. Combining the illumination range and intensity of the indoor sunlight and artificial lighting environments according to the principles of light illumination, a simulated real-time lighting environment is generated, incorporating the effects of illumination on each energy-consuming device and the projected area due to obstruction. The aforementioned light illumination principle is based on the influence of light refraction, reflection, and obstruction on the direction, angle, and brightness of light, thus obtaining the corresponding illumination range and intensity. Optionally, the effects of light illumination principles on the range and intensity of light can be obtained by training a pre-trained neural network model, such as by fusing the range and intensity of sunlight and artificial light.

[0056] The step of obtaining the location, direction, brightness, and range of sunlight based on real-time sunlight-related parameters includes:

[0057] The solar radiation-related parameters also include indoor lighting-related parameters; the detected values ​​of solar radiation location, solar radiation direction, solar radiation intensity, and solar radiation range are corrected according to the weights of the indoor lighting-related parameters.

[0058] Multiple sensors can be used to detect parameters such as indoor air medium and visibility in the area illuminated by sunlight. The preset influence weights of various medium information can be used to correct the illumination judgment. For example, the illumination range and intensity can be adjusted according to the light transmittance and refraction properties of the medium components. Multiple corrected illumination parameters can be obtained using a pre-trained model.

[0059] The indoor lighting-related parameters include any one or more of the following: concentration of one or more air medium components, air visibility, air humidity, air PM value, and temperature.

[0060] The step of generating an indoor lighting environment in the simulated architectural scene based on the indoor lighting data and the size, shape, location, and quantity of energy-consuming devices in each room, using the principle of light illumination, includes: the indoor lighting data including the location, quantity, size, and brightness of the lighting fixtures; obtaining the lighting range and intensity of each room based on the indoor lighting data according to the principle of light illumination; and obtaining the lighting range and illuminance of the simulated architectural scene under indoor lighting based on the lighting range and intensity of each room, as well as the size, shape, location, and quantity of each energy-consuming device in that room.

[0061] The brightness of indoor lighting fixtures can be obtained directly from the fixture specifications or detected within the corresponding lighting range. Based on the principles of light illumination, the lighting range of each room is determined from the indoor lighting fixture data. This data can be used to generate an indoor lighting environment within a simulated architectural scene using a pre-trained model. The indoor lighting environment is simulated by projecting light onto various energy-consuming devices within the lighting range.

[0062] The step of calculating the indoor lighting energy consumption of the simulated building scene based on the indoor lighting data when the preset lighting target is reached includes: the indoor lighting data includes the number, brightness and model of the lighting fixtures; obtaining the preset energy consumption per unit time of each lighting fixture based on the number, model and brightness of the lighting fixtures; and calculating the indoor lighting energy consumption of all lighting fixtures based on the preset on time of each lighting fixture and the preset energy consumption per unit time.

[0063] The preset energy consumption per unit time is obtained according to the corresponding specifications of the lamps, and the energy consumption of all lamps is estimated according to the preset on-time.

[0064] The step of determining whether the current indoor illuminance and illuminance range meet the preset illuminance target based on the simulated real-time lighting environment includes:

[0065] The illumination intensity and illumination range of multiple areas in the simulated building scene are collected; it is determined whether the illumination intensity and illumination range of each area are lower than a preset threshold; when the illumination intensity and illumination range of any area are lower than the preset threshold, it means that the area has not reached the preset illumination target; otherwise, all areas have reached the preset illumination target.

[0066] When the preset illumination target is not achieved, optimizing the indoor lighting data to achieve the preset illumination target includes:

[0067] When the preset lighting target is not achieved in any area, the indoor lighting data can be adjusted by increasing the number of lights or replacing the lights multiple times to achieve the preset lighting target.

[0068] The system can collect data from multiple areas of a simulated building scene based on the operating range of the relevant energy-efficient equipment, or from the entire simulated building scene divided into multiple areas. This allows for analysis and adjustment of the lighting conditions in different areas of the simulated building scene. Increasing the number of lights can improve the brightness or range of illumination, while replacing lights with those of higher / lower brightness or larger / smaller brightness ranges can make corresponding adjustments.

[0069] The method of increasing the luminous intensity and / or illumination range of multiple energy-consuming devices by adjusting the layout of lighting fixtures and energy-consuming devices, and adjusting the number and brightness of each corresponding lighting fixture according to the increased luminous intensity and / or illumination range, to optimize the indoor lighting energy consumption of the simulated building scenario, includes:

[0070] The method of increasing the illumination intensity and / or illumination range of multiple energy-consuming devices by adjusting the layout of lighting fixtures and energy-consuming devices includes at least one of the following methods: increasing the illumination intensity and / or illumination range of multiple energy-consuming devices by repeatedly reducing the usage area of ​​multiple energy-consuming devices; moving each energy-consuming device out of the light-blocking area to increase the illumination intensity and / or illumination range of multiple energy-consuming devices; adjusting the position between each lighting fixture and different energy-consuming devices to increase the illumination intensity and / or illumination range of multiple energy-consuming devices; after increasing the illumination intensity and / or illumination range of multiple energy-consuming devices by adjusting the layout of lighting fixtures and energy-consuming devices, the illumination intensity and / or illumination range of multiple energy-consuming devices all reach a preset threshold.

[0071] The adjustment of the number of lamps turned on and the brightness of each lamp according to the increased illumination and / or illumination range includes at least one of the following schemes: by increasing the area of ​​illumination and / or illumination range of multiple energy-consuming devices, reducing the number of lamps turned on and reducing the brightness of the lamps, so that the indoor lighting energy consumption is lower than or equal to the preset energy consumption target.

[0072] By employing a layout scheme to reduce lighting energy consumption, and repeating at least one identical layout scheme or at least one different layout scheme each time, until the lighting energy consumption gradually decreases to below or equal to the preset energy consumption target. Once the illuminance and / or illumination range of multiple energy-consuming devices have reached the preset threshold, the brightness and number of lamps corresponding to the locations of the increased illuminance and illumination range are adjusted. This not only optimizes the layout but also reduces the impact of lamp adjustments on ambient lighting, while simultaneously meeting environmental protection requirements.

[0073] After optimizing the indoor lighting energy consumption of the indoor lighting fixtures by adjusting the layout scheme of the lighting fixtures and energy-consuming equipment, the method further includes: collecting multiple sets of lighting energy consumption optimization layout data; each set of lighting energy consumption optimization layout data includes: the sunshine-related parameters, the indoor lighting fixture data, the energy-consuming equipment data, the indoor lighting energy consumption, and the layout scheme of the lighting fixtures and energy-consuming equipment; the multiple sets of lighting energy consumption optimization layout data are used to train a lighting energy consumption optimization layout training model; the lighting energy consumption optimization layout training model is used to output the layout scheme of the lighting fixtures and energy-consuming equipment for the lighting energy consumption optimization layout data to be tested.

[0074] The model allows for a more efficient way to obtain layout schemes for low-energy lighting fixtures and energy-consuming equipment.

[0075] Example 2

[0076] like Figure 2 As shown in the figure, this application provides an energy consumption optimization system for intelligent building energy-consuming equipment, including:

[0077] Building Scene Construction Module: Used to construct a simulated building scene containing multiple energy-consuming devices based on energy-consuming device data;

[0078] Lighting environment simulation module: used to create a simulated real-time lighting environment for the simulated building scene based on real-time sunlight-related parameters and indoor lighting data;

[0079] Illumination target determination module: used to determine whether the current indoor illumination intensity and illumination range have reached the preset illumination target based on the simulated real-time illumination environment; when the preset illumination target has not been reached, the indoor lighting data is optimized to achieve the preset illumination target;

[0080] Lighting energy consumption calculation module: used to calculate the indoor lighting energy consumption of the simulated building scene based on the indoor lighting data when the preset lighting target is reached;

[0081] Lighting energy consumption optimization module: used to increase the brightness and / or illumination range of multiple energy-consuming devices by adjusting the layout of lighting fixtures and energy-consuming devices, and to adjust the number of lights turned on and the brightness of each corresponding lighting fixture according to the increased brightness and / or illumination range, so as to optimize the indoor lighting energy consumption of the simulated building scene.

[0082] In summary, the embodiments of this application provide an energy consumption optimization method and system for intelligent building energy-consuming equipment:

[0083] This invention constructs a simulated building scenario containing multiple energy-consuming devices based on energy-consuming device data. It creates a simulated real-time lighting environment for these devices within the simulated building scenario based on real-time sunlight parameters and indoor lighting data. It determines whether the current indoor light intensity meets the requirements based on the simulated real-time lighting environment and optimizes indoor lighting data to meet preset lighting targets. Finally, it calculates the indoor lighting energy consumption based on the optimized indoor lighting data, thereby reducing actual energy consumption and optimizing indoor lighting energy consumption through the layout of indoor energy-consuming devices and lighting fixtures. This invention can intelligently meet low-energy consumption needs through the layout of building energy-consuming devices, achieving a more efficient device layout.

[0084] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment 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 within the scope of protection of the present invention.

Claims

1. A method for optimizing the energy consumption of intelligent building energy-consuming equipment, characterized in that, include: A simulated building scene containing multiple energy-consuming devices is constructed based on energy-consuming device data; the energy-consuming device data includes data from various energy-consuming devices such as air conditioners, heating systems, and industrial processing equipment. The step of constructing a simulated building scene containing multiple energy-consuming devices based on energy-consuming device data includes: creating a simulated building scene template containing multiple rooms based on the room's interior style, size, quantity, and location, as well as the size, quantity, location, area, and light transmittance of each room's doors and windows; the energy-consuming device data includes the type, size, shape, location, quantity, and model of the energy-consuming devices; after adding the simulated building scene template, one or more energy-consuming devices are placed in the corresponding room of the simulated building scene template; Based on real-time solar radiation parameters and indoor lighting data, a simulated real-time lighting environment is created for the simulated building scene. Based on the simulated real-time lighting environment, determine whether the current indoor illumination and illumination range meet the preset lighting target. If the preset lighting target is not met, optimize the indoor lighting data to achieve the preset lighting target, and adjust the layout of lighting fixtures and energy-consuming devices to reduce the impact of different lighting fixtures on the illumination and illumination range of each energy-consuming device, thereby increasing the illumination and illumination range. If the preset lighting target is met, calculate the indoor lighting energy consumption of the simulated building scene based on the indoor lighting data. Increase the illumination and / or illumination range of multiple energy-consuming devices by adjusting the layout of lighting fixtures and energy-consuming devices, and reduce the number of lights turned on in the corresponding areas. This is achieved by repeatedly reducing the number of lights turned on in the corresponding areas. The equipment is used to increase the illumination intensity and / or illumination range of multiple energy-consuming devices. This is achieved by moving each energy-consuming device out of the light-blocking area, adjusting the positions of each lamp and different energy-consuming devices, and increasing the illumination intensity and / or illumination range of multiple energy-consuming devices. After increasing the illumination intensity and / or illumination range of multiple energy-consuming devices by adjusting the layout of the lamps and energy-consuming devices, the illumination intensity and / or illumination range of multiple energy-consuming devices all reach a preset threshold. The number of lamps turned on and their brightness are adjusted according to the increased illumination intensity and / or illumination range to optimize the indoor lighting energy consumption in the simulated building scene. After optimizing the indoor lighting energy consumption of the indoor lighting fixtures by adjusting the layout scheme of the lighting fixtures and energy-consuming equipment, the method further includes: collecting multiple sets of lighting energy consumption optimization layout data; each set of lighting energy consumption optimization layout data includes: the sunshine-related parameters, the indoor lighting fixture data, the energy-consuming equipment data, the indoor lighting energy consumption, and the layout scheme of the lighting fixtures and energy-consuming equipment; the multiple sets of lighting energy consumption optimization layout data are used to train a lighting energy consumption optimization layout training model; the lighting energy consumption optimization layout training model is used to output the layout scheme of the lighting fixtures and energy-consuming equipment for the lighting energy consumption optimization layout data to be tested.

2. The energy consumption optimization method for intelligent building energy-consuming equipment according to claim 1, characterized in that, When constructing a simulated building scenario containing multiple energy-consuming devices based on energy-consuming device data, the corresponding energy-consuming devices are set in pre-configured positions within the simulated building scenario. The positions of each pre-configured energy-consuming device in the simulated building scenario are allocated according to the power supply conditions, installation conditions, and usage requirements of the corresponding environment.

3. The energy consumption optimization method for intelligent building energy-consuming equipment according to claim 1, characterized in that, The step of creating a simulated real-time lighting environment for the simulated building scene based on real-time sunlight-related parameters and indoor lighting data includes: generating an indoor sunlight lighting environment in the created simulated building scene based on the size, number, location, area, and light transmittance of doors and windows in each room, the real-time sunlight-related parameters, and the size, shape, location, and number of energy-consuming devices in each room, using the principle of light illumination; generating an indoor lighting environment in the simulated building scene based on the indoor lighting data and the size, shape, location, and number of energy-consuming devices in each room, using the principle of light illumination; and combining the real-time indoor sunlight lighting environment and the indoor lighting environment of multiple energy-consuming devices to obtain a simulated real-time lighting environment containing the projections of multiple energy-consuming devices.

4. The energy consumption optimization method for intelligent building energy-consuming equipment according to claim 1, characterized in that, The real-time sunlight-related parameters are obtained through the following steps: obtaining known real-time sunlight direction and sunlight intensity; detecting indoor light-related parameters in real time according to the indoor range corresponding to the sunlight direction; correcting the sunlight intensity according to the weight of the indoor light-related parameters; the indoor light-related parameters include any one or more of the following: concentration of one or more air medium components, air visibility, air humidity, air PM value, and temperature.

5. The energy consumption optimization method for intelligent building energy-consuming equipment according to claim 3, characterized in that, The step of generating an indoor lighting environment in the simulated architectural scene based on the indoor lighting data and the size, shape, location, and quantity of energy-consuming devices in each room, using the principle of light illumination, includes: the indoor lighting data including the location, quantity, size, and brightness of the lighting fixtures; obtaining the lighting range and intensity of each room based on the indoor lighting data according to the principle of light illumination; and obtaining the lighting range and illuminance of the simulated architectural scene under indoor lighting based on the lighting range and intensity of each room, as well as the size, shape, location, and quantity of each energy-consuming device in that room.

6. The energy consumption optimization method for intelligent building energy-consuming equipment according to claim 1, characterized in that, The step of calculating the indoor lighting energy consumption of the simulated building scene based on the indoor lighting data when the preset lighting target is reached includes: the indoor lighting data includes the number, brightness and model of the lighting fixtures; obtaining the preset energy consumption per unit time of each lighting fixture based on the number, model and brightness of the lighting fixtures; and calculating the indoor lighting energy consumption of all lighting fixtures based on the preset on time of each lighting fixture and the preset energy consumption per unit time.

7. The energy consumption optimization method for intelligent building energy-consuming equipment according to claim 1, characterized in that, The step of determining whether the current indoor illuminance and illumination range meet the preset illumination target based on the simulated real-time lighting environment includes: collecting the illuminance and illumination range of multiple areas of the simulated building scene; determining whether the illuminance and illumination range of each area are lower than a preset threshold; when the illuminance and illumination range of any area are lower than the preset threshold, it indicates that the area has not met the preset illumination target; otherwise, all areas meet the preset illumination target; the step of optimizing the indoor lighting data to meet the preset illumination target when the preset illumination target is not met includes: when each area does not meet the preset illumination target, adjusting the indoor lighting data by repeatedly increasing the number of lighting fixtures or replacing lighting fixtures to meet the preset illumination target.

8. The energy consumption optimization method for intelligent building energy-consuming equipment according to claim 1, characterized in that, The layout scheme of the lamps and energy-consuming equipment is obtained based on the location of each lamp, the location of each energy-consuming equipment, the relative distance and direction between different lamps, the relative distance and direction between different energy-consuming equipment, and the relative distance and direction between different energy-consuming equipment and their respective lamps.

9. An energy consumption optimization system for intelligent building energy-consuming equipment, characterized in that, A method for optimizing the energy consumption of intelligent building energy-consuming equipment as described in any one of claims 1 to 8, comprising: a building scene construction module for constructing a simulated building scene containing multiple energy-consuming devices based on energy-consuming device data; a lighting environment simulation module for creating a simulated real-time lighting environment for the simulated building scene based on real-time sunlight-related parameters and indoor lighting data; a lighting target judgment module for determining whether the current indoor illuminance and illumination range meet a preset lighting target based on the simulated real-time lighting environment; and when the preset lighting target is not met, optimizing the indoor lighting data to meet the preset lighting target; a lighting energy consumption calculation module for calculating the indoor lighting energy consumption of the simulated building scene based on the indoor lighting data when the preset lighting target is met; and a lighting energy consumption optimization module for adjusting the lighting fixtures and energy-consuming devices. The layout scheme increases the illumination intensity and / or illumination range of multiple energy-consuming devices while reducing the number of lights turned on in the corresponding areas. This is achieved by repeatedly reducing the usable area of ​​multiple energy-consuming devices to increase their illumination intensity and / or illumination range, moving each energy-consuming device out of light-blocking areas to further increase their illumination intensity and / or illumination range, and adjusting the positions of each light fixture and different energy-consuming devices to increase their illumination intensity and / or illumination range. After increasing the illumination intensity and / or illumination range of multiple energy-consuming devices by adjusting the layout scheme of the light fixtures and energy-consuming devices, the illumination intensity and / or illumination range of all multiple energy-consuming devices reach a preset threshold. Based on the increased illumination intensity and / or illumination range, the number of lights turned on and their brightness are adjusted to optimize the indoor lighting energy consumption in the simulated building scene.

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