Energy consumption optimization method and system for intelligent building energy consumption equipment

Abstract

The invention discloses an energy consumption optimization method and system for intelligent building energy consumption equipment, and relates to the field of layout of the building energy consumption equipment. The method comprises the following steps: creating a simulated real-time illumination environment of a simulated building scene according to real-time sunshine related parameters and indoor lamp data; judging whether the current indoor illumination brightness and the illumination range reach a preset illumination target or not; if not, optimizing indoor lamp data; if so, predicting the indoor light energy consumption of the simulated building scene according to the indoor light data; by adjusting the layout scheme of the lamps and the energy consumption devices, the illumination brightness and / or the illumination range of the energy consumption devices are / is increased, and the turn-on number and the brightness of the corresponding lamps are adjusted according to the increased illumination brightness and / or the illumination range, so that the indoor lamplight energy consumption of the simulated building scene is optimized. According to the invention, the requirement of low energy consumption is met, and more efficient equipment layout is realized.

Description

Technical Field

[0001] The present invention relates to the field of layout of building energy-using equipment, and in particular to an energy consumption optimization method and system for intelligent building energy-using equipment. Background Art

[0002] Currently, in architectural design, the Revit platform is widely used to create building information models (BIM). However, the commonly used Dynamo has limited functions when dealing with complex project requirements and cannot meet some low-energy consumption requirements. Specifically, Dynamo has poor performance when dealing with complex logic and large-scale data, and it is difficult to optimize the efficient equipment layout. In addition, Dynamo's functional modules are relatively fixed, difficult to flexibly expand and customize, and cannot meet the diverse architectural design needs. Some Revit functions or APIs cannot be directly called in Dynamo, which limits the user's operation and optimization capabilities in the design of building energy equipment. Therefore, there is a need for an intelligent energy consumption optimization method and system for building energy equipment, which can meet low-energy consumption requirements through the layout of building energy equipment and achieve more efficient equipment layout. 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 equipment and achieve a more efficient equipment layout. The purpose is to provide an energy consumption optimization method and system for intelligent building energy equipment to solve the above technical problems.

[0004] The present invention is achieved through the following technical solutions:

[0005] An energy consumption optimization method for intelligent building energy-using equipment, comprising:

[0006] Construct a simulated building scene containing multiple energy-consuming equipment based on energy-consuming equipment data;

[0007] Creating a simulated real-time lighting environment for the simulated building scene according to real-time sunlight-related parameters and indoor lighting fixture data;

[0008] Determine whether the current indoor light brightness and lighting range reach a preset lighting target according to the simulated real-time lighting environment; when the preset lighting target is not reached, optimize the indoor lighting fixture 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 according to the indoor lighting fixture data;

[0010] The light brightness and / or illumination range of multiple energy-consuming devices are increased by adjusting the layout of lamps and energy-consuming devices, and the number of corresponding lamps turned on and the brightness are adjusted according to the increased light brightness and / or illumination range to optimize the indoor lighting energy consumption of the simulated building scene.

[0011] The step of constructing a simulated building scene including a plurality of energy-consuming devices according to the energy-consuming device data includes:

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

[0013] The step of creating a simulated real-time lighting environment for the simulated building scene according to the real-time sunlight-related parameters and the indoor lighting fixture data includes:

[0014] The position, direction and intensity of sunlight are obtained according to real-time sunlight-related parameters; the indoor sunlight lighting environment of the simulated building scene is simulated through the size, number, position, area and transmittance of doors and windows of each room, the position, direction, brightness and range of sunlight, and the size, shape, position and number of energy-consuming equipment in each room; based on the indoor lamp data and the size, shape, position and number of energy-consuming equipment in each room, the indoor lighting environment is generated in the simulated building scene according to the principle of light illumination; the indoor sunlight lighting environment of multiple real-time energy-consuming equipment and the indoor lighting environment are combined to obtain a simulated real-time lighting environment including projections of multiple energy-consuming equipment.

[0015] The step of obtaining the position, direction, brightness and range of sunlight according to the real-time sunlight-related parameters includes:

[0016] The sunlight-related parameters also include indoor lighting-related parameters; the detection values ​​of sunlight position, sunlight direction, sunlight brightness and sunlight 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 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 building scene based on the indoor lighting data and the size, shape, position and number of energy-consuming equipment in each room and utilizing the principle of light illumination comprises: the indoor lighting data comprises the position, number, size and brightness of the lighting, and the indoor lighting data obtains the lighting range and lighting intensity of each room according to the principle of light illumination; and the lighting range and lighting brightness of the simulated building scene under indoor lighting are obtained according to the lighting range and lighting intensity of each room and the size, shape, position and number of each energy-consuming equipment in the room.

[0019] The step of calculating the indoor lighting energy consumption of the simulated building scene according to the indoor lighting fixture data when the preset lighting target is reached includes: the indoor lighting fixture data includes the number, brightness and model of the lamps; obtaining the preset unit time energy consumption of each lamp according to the number, model and brightness of the lamps; and counting the indoor lighting energy consumption of all lamps according to the preset start-up time of each lamp and the preset unit time energy consumption.

[0020] The step of judging whether the current indoor light brightness and lighting range reach a preset lighting target according to the simulated real-time lighting environment includes:

[0021] Collecting the light luminance and illumination range of multiple areas of the simulated building scene; determining whether the light luminance and illumination range of each area are lower than a preset threshold; when the light luminance 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 lighting target is not reached, optimizing the indoor lighting fixture data to reach the preset lighting target includes:

[0023] When each area does not reach the preset lighting target, the preset lighting target is reached by adjusting the indoor lighting data by increasing the number of lamps or replacing lamps for multiple times.

[0024] The method of increasing the light luminance and / or illumination range of multiple energy-consuming devices by adjusting the layout of lamps and energy-consuming devices, and adjusting the number and brightness of each corresponding lamp turned on according to the increased light luminance and / or illumination range to optimize the indoor lighting energy consumption of the simulated building scene includes:

[0025] The method of increasing the light brightness and / or illumination range of multiple energy-consuming devices by adjusting the layout of lamps and energy-consuming devices includes at least one of the following schemes: increasing the light brightness and / or illumination range of multiple energy-consuming devices by repeatedly reducing the use range of multiple energy-consuming devices, moving each energy-consuming device out of the light-blocking area to increase the light brightness and / or illumination range of multiple energy-consuming devices, and adjusting the position between each lamp and different energy-consuming devices to increase the light brightness and / or illumination range of multiple energy-consuming devices; after increasing the light brightness and / or illumination range of multiple energy-consuming devices by adjusting the layout of lamps and energy-consuming devices, the light brightness and / or illumination range of multiple energy-consuming devices are made to reach a preset threshold;

[0026] The method of adjusting the number of corresponding lamps turned on and the brightness of the corresponding lamps according to the increased light brightness and / or illumination range includes at least one of the following schemes: by increasing the light brightness and / or illumination range of multiple energy-consuming equipment, reducing the number of corresponding lamps turned on, and lowering the brightness of the corresponding lamps, so that the indoor lighting energy consumption is lower than or equal to a preset energy consumption target.

[0027] After optimizing the indoor lighting energy consumption of the indoor lighting data by adjusting the layout plan of lamps and energy-consuming equipment, it also includes: collecting multiple groups of lighting energy consumption optimization layout data; each group of the lighting energy consumption optimization layout data includes: the sunlight related parameters, the indoor lighting data, the energy-consuming equipment data, the indoor lighting energy consumption and the layout plan of the lamps and energy-consuming equipment; the multiple groups of the lighting energy consumption optimization layout data are trained to obtain a lighting energy consumption optimization layout training model; the lighting energy consumption optimization layout training model is used to output the layout plan of lamps 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-using equipment, comprising:

[0029] Building scene construction module: used to construct a simulated building scene containing multiple energy-consuming equipment according to energy-consuming equipment data;

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

[0031] Lighting target judgment module: used to judge whether the current indoor light brightness and lighting range reach the preset lighting target according to the simulated real-time lighting environment; when the preset lighting target is not reached, the preset lighting target is achieved by optimizing the indoor lighting data;

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

[0033] Lighting energy consumption optimization module: used to increase the light brightness and / or illumination range of multiple energy-consuming devices by adjusting the layout of lamps and energy-consuming devices, and adjust the number and brightness of each corresponding lamp turned on according to the increased light 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] The present invention constructs a simulated building scene containing multiple energy-consuming devices according to energy-consuming device data; creates a simulated real-time lighting environment for multiple energy-consuming devices in the simulated building scene according to real-time sunlight-related parameters and indoor lamp data; determines whether the current indoor light intensity meets the demand according to the simulated real-time lighting environment, and meets the preset lighting target by optimizing the indoor lamp data; calculates the indoor lighting energy consumption according to the optimized indoor lamp data, thereby reducing the actual energy consumption demand and optimizing the indoor lighting energy consumption through the layout plan of indoor energy-consuming devices and lamps. The present invention can meet the low energy consumption demand through the layout of building energy-consuming equipment intelligence, and realizes a more efficient equipment layout. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0037] In the figure:

[0038] Figure 1 This is a flow chart of a method for optimizing energy consumption of intelligent building energy-using equipment according to Embodiment 1 of the present invention;

[0039] Figure 2 This is a schematic diagram of the energy consumption optimization system of intelligent building energy equipment according to Example 2 of the present invention. DETAILED DESCRIPTION

[0040] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description 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, the embodiment of the present application provides an energy consumption optimization method for intelligent building energy-using equipment, including:

[0043] Construct a simulated building scene containing multiple energy-consuming equipment based on energy-consuming equipment data;

[0044] Creating a simulated real-time lighting environment for the simulated building scene according to real-time sunlight-related parameters and indoor lighting fixture data;

[0045] Determine whether the current indoor light brightness and lighting range reach a preset lighting target according to the simulated real-time lighting environment; when the preset lighting target is not reached, optimize the indoor lighting fixture 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 according to the indoor lighting fixture data;

[0047] The light brightness and / or illumination range of multiple energy-consuming devices are increased by adjusting the layout of lamps and energy-consuming devices, and the number of corresponding lamps turned on and the brightness are adjusted according to the increased light brightness and / or illumination range to optimize the indoor lighting energy consumption of the simulated building scene.

[0048] Among them, the energy-consuming equipment data may include data of various energy-consuming equipment such as air conditioners, heating systems, industrial processing equipment, etc., such as parameters such as product size, shape, installation location, model, performance, power consumption and production capacity. When constructing a simulated building scene with multiple energy-consuming equipment layouts based on the energy-consuming equipment data, the corresponding energy-consuming equipment is set at the pre-configured position of the simulated building scene. The positions of each energy-consuming equipment pre-configured in the simulated building scene can be allocated according to the power supply conditions, installation conditions, and usage requirements of the corresponding environment. Sunlight-related parameters may include outdoor sunshine-related parameters and indoor lighting-related parameters. For example, outdoor sunshine-related parameters may include the intensity and range of outdoor lighting, and may also include factors such as outdoor weather, air quality, air visibility, and air humidity; indoor lighting-related parameters may include indoor air quality, air visibility, air humidity, temperature, etc. that affect sunshine. Air quality may be the air PM value and the concentration of one or more air medium components. Indoor lighting data may include the opening state, size, quantity, installation location, specifications, model, brightness, lighting range, and power consumption of indoor lighting. According to the real-time sunlight-related parameters and indoor lighting data, the light intensity and range of each room in the building scene are obtained, so as to generate a simulated real-time lighting environment for illuminating each energy-consuming device in the room according to the light intensity and range.

[0049] According to the simulated real-time lighting environment, it is judged whether the current indoor light brightness and lighting range have reached the preset lighting target. When not reached, the adjusted indoor light brightness and lighting range are obtained through various parameters of the indoor lamp data to meet the preset lighting target. In addition, the layout scheme of the lamps and energy-consuming equipment is adjusted to reduce the influence of different lamps on the light brightness and range of each energy-consuming equipment, thereby increasing the light brightness and lighting range. The layout scheme of the above-mentioned lamps and energy-consuming equipment is obtained according to 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 the corresponding lamps, so as to expand the light brightness and / or lighting range according to different layout schemes, reduce the energy consumption demand for lighting energy consumption in each area, and realize the optimization of lighting energy consumption of the overall working environment by the layout of energy-consuming equipment.

[0050] The step of constructing a simulated building scene including a plurality of energy-consuming devices according to the energy-consuming device data includes:

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

[0052] The interior style is obtained according to the scene type of the current simulated building scene. For example, if the scene type is housing, the interior styles include bedroom, kitchen, living room, etc.; if the scene type is company, the interior styles include conference room, office, leisure room, reception room, etc.; when the scene type is factory, the interior styles include processing plant, office, canteen, dormitory, etc.; the layout simulation of energy-consuming equipment in different application scenarios is realized. By supporting the setting of specifications and door and window parameters of each room in the simulated building scene, the influence of the outdoor environment on the indoor environment can be obtained in combination with door and window parameters and sunlight-related parameters, and the personalized customization of the simulated building scene template is realized. The energy-consuming equipment data of multiple energy-consuming equipment are added to each room of the simulated building scene, so as to construct a simulated building scene containing multiple energy-consuming equipment. Among them, the location of the energy-consuming equipment is the three-dimensional coordinate located in the simulated building scene; the orientation of multiple energy-consuming equipment in the simulated building scene is set to the default direction, such as against the wall, front, horizontal and vertical, etc., for easy viewing and adjustment.

[0053] The step of creating a simulated real-time lighting environment for the simulated building scene according to the real-time sunlight-related parameters and the indoor lighting fixture data includes:

[0054] The position, direction and intensity of sunlight are obtained according to real-time sunlight-related parameters; the indoor sunlight lighting environment of the simulated building scene is simulated through the size, number, position, area and transmittance of doors and windows of each room, the position, direction, brightness and range of sunlight, and the size, shape, position and number of energy-consuming equipment in each room; based on the indoor lamp data and the size, shape, position and number of energy-consuming equipment in each room, the indoor lighting environment is generated in the simulated building scene according to the principle of light illumination; the indoor sunlight lighting environment of multiple real-time energy-consuming equipment and the indoor lighting environment are combined to obtain a simulated real-time lighting environment including projections of multiple energy-consuming equipment.

[0055] According to the above-mentioned room doors and windows and sunlight-related parameters, the illumination range and intensity of the sunlight after entering the room from the doors and windows can be obtained, and then the size, shape, position and number of energy-consuming equipment in each room are illuminated under the illumination range and intensity, and the projection range of the occlusion of each energy-consuming equipment is obtained, and the illumination range and intensity of the building scene under sunlight conditions are obtained as the indoor sunlight illumination environment. Similarly, according to the above-mentioned indoor lamp data, the size, shape, position and number of energy-consuming equipment in each room are illuminated, and the projection range of the occlusion of each energy-consuming equipment is generated to generate the indoor lighting environment. After the illumination range and illumination intensity of the indoor sunlight illumination environment and the indoor lighting environment are combined according to the principle of light illumination, the illumination of each energy-consuming equipment and the influence of the projection range of the occlusion of each energy-consuming equipment are obtained, and then the simulated real-time lighting environment of the corresponding illumination range and intensity is generated. The above-mentioned light illumination principle is to obtain the corresponding illumination range and intensity according to the influence of refraction, reflection and occlusion of light on the illumination direction, angle and brightness. Optionally, the above-mentioned influence of the light illumination principle on the illumination range and intensity can be obtained by a pre-trained neural network training model, such as the illumination range and intensity of sunlight illumination and lamp illumination through a fusion process.

[0056] The step of obtaining the position, direction, brightness and range of sunlight according to the real-time sunlight-related parameters includes:

[0057] The sunlight-related parameters also include indoor lighting-related parameters; the detection values ​​of sunlight position, sunlight direction, sunlight brightness and sunlight range are corrected according to the weights of the indoor lighting-related parameters.

[0058] Multiple sensors can be used to detect parameters such as the indoor air medium and visibility of the indoor area where sunlight is irradiated, so that the preset influence weights of the lighting judgment can be corrected using the information of each medium. For example, the lighting range and brightness of the sunlight can be adjusted according to the transmittance of the medium components and the nature of the refraction. The pre-trained model can be used to obtain multiple corrected sunlight parameters.

[0059] The indoor lighting related parameters include any one or more of the 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 building scene based on the indoor lighting data and the size, shape, position and number of energy-consuming equipment in each room and utilizing the principle of light illumination comprises: the indoor lighting data comprises the position, number, size and brightness of the lighting, and the indoor lighting data obtains the lighting range and lighting intensity of each room according to the principle of light illumination; and the lighting range and lighting brightness of the simulated building scene under indoor lighting are obtained according to the lighting range and lighting intensity of each room and the size, shape, position and number of each energy-consuming equipment in the room.

[0061] The brightness of indoor lighting data can be directly obtained through lighting specifications, or can be detected within the corresponding indoor lighting range. Indoor lighting data can obtain the lighting range of each room based on the principle of light illumination, and can be used through pre-trained models to generate indoor lighting environments in corresponding simulated building scenes. The indoor lighting environment is simulated by projecting light from each energy-consuming device through the lighting range.

[0062] The step of calculating the indoor lighting energy consumption of the simulated building scene according to the indoor lighting fixture data when the preset lighting target is reached includes: the indoor lighting fixture data includes the number, brightness and model of the lamps; obtaining the preset unit time energy consumption of each lamp according to the number, model and brightness of the lamps; and counting the indoor lighting energy consumption of all lamps according to the preset start-up time of each lamp and the preset unit time energy consumption.

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

[0064] The step of judging whether the current indoor light brightness and lighting range reach a preset lighting target according to the simulated real-time lighting environment includes:

[0065] Collecting the light luminance and illumination range of multiple areas of the simulated building scene; determining whether the light luminance and illumination range of each area are lower than a preset threshold; when the light luminance 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 lighting target is not reached, optimizing the indoor lighting fixture data to reach the preset lighting target includes:

[0067] When each area does not reach the preset lighting target, the preset lighting target is reached by adjusting the indoor lighting data by increasing the number of lamps or replacing lamps for multiple times.

[0068] Multiple areas of the simulated building scene can be collected according to the operating range of the corresponding energy-saving equipment, or the entire area of ​​the simulated building scene can be collected and divided into multiple areas, so as to analyze and adjust the lighting conditions of the simulated building scene according to different areas. The light brightness or range can be increased by increasing the number of lamps, and corresponding adjustments can be made by replacing lamps with higher / lower brightness and larger / smaller brightness range.

[0069] The method of increasing the light luminance and / or illumination range of multiple energy-consuming devices by adjusting the layout of lamps and energy-consuming devices, and adjusting the number and brightness of each corresponding lamp turned on according to the increased light luminance and / or illumination range to optimize the indoor lighting energy consumption of the simulated building scene includes:

[0070] The method of increasing the light brightness and / or illumination range of multiple energy-consuming devices by adjusting the layout of lamps and energy-consuming devices includes at least one of the following schemes: increasing the light brightness and / or illumination range of multiple energy-consuming devices by repeatedly reducing the use range of multiple energy-consuming devices, moving each energy-consuming device out of the light-blocking area to increase the light brightness and / or illumination range of multiple energy-consuming devices, and adjusting the position between each lamp and different energy-consuming devices to increase the light brightness and / or illumination range of multiple energy-consuming devices; after increasing the light brightness and / or illumination range of multiple energy-consuming devices by adjusting the layout of lamps and energy-consuming devices, the light brightness and / or illumination range of multiple energy-consuming devices are made to reach a preset threshold;

[0071] The method of adjusting the number of corresponding lamps turned on and the brightness of the corresponding lamps according to the increased light brightness and / or illumination range includes at least one of the following schemes: by increasing the light brightness and / or illumination range of multiple energy-consuming equipment, reducing the number of corresponding lamps turned on, and lowering the brightness of the corresponding lamps, so that the indoor lighting energy consumption is lower than or equal to a preset energy consumption target.

[0072] The lighting energy consumption is reduced by adopting a layout scheme, and at least one identical layout scheme is repeated each time, or at least one different layout scheme is repeated, until the lighting energy consumption is gradually reduced to less than or equal to the preset energy consumption target. When the light luminance and / or illumination range of multiple energy-consuming devices reach the preset threshold, the brightness and quantity of the lamps corresponding to the positions of the increased light luminance and illumination range are adjusted, thereby reducing the impact of the lamp adjustment on the ambient light on the basis of optimizing the layout, and meeting the requirements of environmental protection.

[0073] After optimizing the indoor lighting energy consumption of the indoor lighting data by adjusting the layout plan of lamps and energy-consuming equipment, it also includes: collecting multiple groups of lighting energy consumption optimization layout data; each group of the lighting energy consumption optimization layout data includes: the sunlight related parameters, the indoor lighting data, the energy-consuming equipment data, the indoor lighting energy consumption and the layout plan of the lamps and energy-consuming equipment; the multiple groups of the lighting energy consumption optimization layout data are trained to obtain a lighting energy consumption optimization layout training model; the lighting energy consumption optimization layout training model is used to output the layout plan of lamps and energy-consuming equipment for the lighting energy consumption optimization layout data to be tested.

[0074] The model can directly and more efficiently obtain the layout plan of low-energy lamps and energy-consuming equipment.

[0075] Example 2

[0076] like Figure 2 As shown, the embodiment of the present application provides an energy consumption optimization system for intelligent building energy-using equipment, including:

[0077] Building scene construction module: used to construct a simulated building scene containing multiple energy-consuming equipment according to energy-consuming equipment data;

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

[0079] Lighting target judgment module: used to judge whether the current indoor light brightness and lighting range reach the preset lighting target according to the simulated real-time lighting environment; when the preset lighting target is not reached, the preset lighting target is achieved by optimizing the indoor lighting data;

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

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

[0082] In summary, the present application provides an energy consumption optimization method and system for intelligent building energy-using equipment:

[0083] According to the data of energy-consuming equipment, a simulated building scene including multiple energy-consuming equipment is constructed; according to the real-time sunlight-related parameters and indoor lamp data, a simulated real-time lighting environment of multiple energy-consuming equipment is created in the simulated building scene; according to the simulated real-time lighting environment, whether the current indoor light intensity meets the demand is judged, and the preset lighting target is met by optimizing the indoor lamp data; according to the optimized indoor lamp data, the indoor light energy consumption is calculated, so as to reduce the actual energy consumption demand and optimize the indoor light energy consumption through the layout plan of indoor energy-consuming equipment and lamps. The present invention can meet the low energy consumption demand through the layout of building energy-consuming equipment intelligence, and realize a more efficient equipment layout.

[0084] 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 optimizing energy consumption of intelligent building energy-using equipment, characterized in that: include: Construct a simulated building scene containing multiple energy-consuming equipment based on energy-consuming equipment data; Creating a simulated real-time lighting environment for the simulated building scene according to real-time sunlight-related parameters and indoor lighting fixture data; Determine whether the current indoor light brightness and lighting range reach the preset lighting target according to the simulated real-time lighting environment; When the preset lighting target is not reached, optimizing the indoor lighting fixture data to reach the preset lighting target; When the preset lighting target is reached, the indoor lighting energy consumption of the simulated building scene is calculated according to the indoor lighting fixture data; The light brightness and / or illumination range of multiple energy-consuming devices are increased by adjusting the layout of lamps and energy-consuming devices, and the number of corresponding lamps turned on and the brightness are adjusted according to the increased light brightness and / or illumination range to optimize the indoor lighting energy consumption of the simulated building scene.

2. The energy consumption optimization method of intelligent building energy equipment according to claim 1 is characterized in that: The step of constructing a simulated building scene including a plurality of energy-consuming devices according to the energy-consuming device data includes: A simulated building scene template containing multiple rooms is created based on the interior style, size, quantity and position of the rooms, as well as the size, quantity, position, area and light transmittance of the doors and windows of each room; the energy-consuming equipment data includes the type, size, shape, position, quantity and model of the energy-consuming equipment; after adding the simulated building scene template, one or more energy-consuming equipment are arranged in the corresponding room of the simulated building scene template.

3. The energy consumption optimization method of intelligent building energy equipment according to claim 2 is characterized in that: The step of creating a simulated real-time lighting environment for the simulated building scene according to the real-time sunlight-related parameters and the indoor lighting fixture data includes: Based on the size, number, position, area and transmittance of doors and windows in each room, the real-time sunlight-related parameters, and the size, shape, position and number of energy-consuming equipment in each room, the principle of light illumination is used to generate an indoor sunlight lighting environment in the created simulated building scene; based on the indoor lamp data and the size, shape, position and number of energy-consuming equipment in each room, the principle of light illumination is used to generate an indoor lighting environment in the simulated building scene; the indoor sunlight lighting environment of multiple energy-consuming equipment in real time and the indoor lighting environment are combined to obtain a simulated real-time lighting environment including projections of multiple energy-consuming equipment.

4. The energy consumption optimization method of intelligent building energy equipment according to claim 3 is characterized in that: The real-time sunshine related parameters are obtained through the following steps: Acquire known real-time sunlight direction and sunlight intensity; detect indoor lighting related parameters in real time according to the indoor range corresponding to the sunlight direction; correct the sunlight intensity according to the weight of the indoor lighting related parameters; the indoor lighting related parameters include any one or more of the concentration of one or more air medium components, air visibility, air humidity, air PM value and temperature.

5. The energy consumption optimization method of intelligent building energy equipment according to claim 3 is characterized in that: The step of generating an indoor lighting environment in the simulated building scene based on the indoor lighting data and the size, shape, position and number of energy-consuming equipment in each room and utilizing the principle of light illumination comprises: the indoor lighting data comprises the position, number, size and brightness of the lighting, and the indoor lighting data obtains the lighting range and lighting intensity of each room according to the principle of light illumination; and the lighting range and lighting brightness of the simulated building scene under indoor lighting are obtained according to the lighting range and lighting intensity of each room and the size, shape, position and number of each energy-consuming equipment in the room.

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

7. The energy consumption optimization method of intelligent building energy equipment according to claim 1, characterized in that: The step of judging whether the current indoor light brightness and lighting range reach a preset lighting target according to the simulated real-time lighting environment includes: Collecting the light luminance and illumination range of multiple areas of the simulated building scene; determining whether the light luminance and illumination range of each area are lower than a preset threshold; when the light luminance 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; When the preset lighting target is not reached, optimizing the indoor lighting fixture data to reach the preset lighting target includes: When each area does not reach the preset lighting target, the preset lighting target is reached by adjusting the indoor lighting data by increasing the number of lamps or replacing lamps for multiple times.

8. The method for optimizing energy consumption of intelligent building energy-using equipment according to claim 1, characterized in that: The method of increasing the light luminance and / or illumination range of multiple energy-consuming devices by adjusting the layout of lamps and energy-consuming devices, and adjusting the number and brightness of each corresponding lamp turned on according to the increased light luminance and / or illumination range to optimize the indoor lighting energy consumption of the simulated building scene includes: The method of increasing the light brightness and / or illumination range of multiple energy-consuming devices by adjusting the layout of lamps and energy-consuming devices includes at least one of the following schemes: increasing the light brightness and / or illumination range of multiple energy-consuming devices by repeatedly reducing the use range of multiple energy-consuming devices, moving each energy-consuming device out of the light-blocking area to increase the light brightness and / or illumination range of multiple energy-consuming devices, and adjusting the position between each lamp and different energy-consuming devices to increase the light brightness and / or illumination range of multiple energy-consuming devices; after increasing the light brightness and / or illumination range of multiple energy-consuming devices by adjusting the layout of lamps and energy-consuming devices, the light brightness and / or illumination range of multiple energy-consuming devices are made to reach a preset threshold; The method of adjusting the number of corresponding lamps turned on and the brightness of each lamp according to the increased light brightness and / or illumination range includes at least one of the following schemes: by increasing the light brightness and / or illumination range of multiple energy-consuming equipment, reducing the number of corresponding lamps turned on, and lowering the brightness of corresponding lamps turned on, so that the indoor lighting energy consumption is lower than or equal to a preset energy consumption target.

9. The method for optimizing energy consumption of intelligent building energy-using equipment according to claim 1, characterized in that: After optimizing the indoor lighting energy consumption of the indoor lighting data by adjusting the layout plan of lamps and energy-consuming equipment, it also includes: collecting multiple groups of lighting energy consumption optimization layout data; each group of the lighting energy consumption optimization layout data includes: the sunlight related parameters, the indoor lighting data, the energy-consuming equipment data, the indoor lighting energy consumption and the layout plan of the lamps and energy-consuming equipment; the multiple groups of the lighting energy consumption optimization layout data are trained to obtain a lighting energy consumption optimization layout training model; the lighting energy consumption optimization layout training model is used to output the layout plan of lamps and energy-consuming equipment for the lighting energy consumption optimization layout data to be tested.

10. An energy consumption optimization system for intelligent building energy equipment, characterized in that: include: Building scene construction module: used to construct a simulated building scene containing multiple energy-consuming equipment according to energy-consuming equipment data; Lighting environment simulation module: used to create a simulated real-time lighting environment for the simulated building scene according to real-time sunlight related parameters and indoor lighting data; Lighting target judgment module: used to judge whether the current indoor light brightness and lighting range reach the preset lighting target according to the simulated real-time lighting environment; When the preset lighting target is not reached, optimizing the indoor lighting fixture data to reach the preset lighting target; Lighting energy consumption calculation module: used to calculate the indoor lighting energy consumption of the simulated building scene according to the indoor lighting fixture data when the preset lighting target is reached; Lighting energy consumption optimization module: used to increase the light brightness and / or illumination range of multiple energy-consuming devices by adjusting the layout of lamps and energy-consuming devices, and adjust the number and brightness of each corresponding lamp turned on according to the increased light brightness and / or illumination range, so as to optimize the indoor lighting energy consumption of the simulated building scene.

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