Building lighting and air conditioning system cooperative control method, terminal and storage medium

Abstract

The invention provides a building lighting and air conditioning system cooperative control method, a terminal and a storage medium, and relates to the technical field of building intelligent control. The method comprises the following steps: collecting environmental data of a target area at the starting moment of a target control cycle, wherein the environmental data comprises indoor illuminance, indoor temperature and solar radiation intensity; a control strategy set of the target control period is generated, the control strategy set comprises a plurality of candidate control strategies, each candidate control strategy is determined according to the shading coefficient of the shading device, and the shading coefficient of the shading device is determined based on the indoor illuminance and the indoor temperature under each candidate control strategy; screening out a plurality of candidate control strategies meeting a preset comfort constraint from the control strategy set to obtain a target control strategy set; and calculating the equivalent power consumption of each candidate control strategy in the target control strategy set, and taking the candidate control strategy corresponding to the equivalent power consumption with the minimum numerical value as the optimal control strategy. The energy consumption can be reduced.

Description

Technical Field

[0001] This application relates to the field of building intelligent control technology, and in particular to a method, terminal and storage medium for coordinated control of building lighting and air conditioning systems. Background Technology

[0002] In large public buildings, lighting, shading (such as motorized blinds and curtains), and air conditioning systems are the main energy-consuming units. Currently, the control strategies for these systems are usually independent of each other. Lighting systems typically employ timed switches, simple human body sensors, or illuminance threshold control.

[0003] Shading systems: mostly manually controlled or automatically controlled based on a single light intensity.

[0004] Air conditioning system: mainly uses closed-loop feedback control based on the indoor set temperature.

[0005] This "island-style" control model has a fundamental flaw: it cannot make overall decisions from the perspective of the building's overall energy flow. A typical contradictory scenario is that during the afternoon afternoons in summer, strong solar radiation provides natural light (which can reduce lighting energy consumption), but it also brings a lot of heat gain (which increases air conditioning energy consumption). Current technology cannot intelligently decide whether to close the blinds to block heat (reducing air conditioning load but requiring artificial lighting) or to open the blinds to utilize natural light (reducing lighting load but increasing air conditioning load).

[0006] Due to a lack of coordination between systems, control decisions are often locally optimal rather than globally optimal, resulting in persistently high overall building energy consumption and hindering deep energy conservation. Therefore, there is an urgent need in this field for a control scheme that can unify and coordinate lighting, shading, and air conditioning systems to maximize overall building energy efficiency while ensuring indoor environmental comfort. Summary of the Invention

[0007] This application provides a method, terminal, and storage medium for coordinated control of building lighting and air conditioning systems to solve the problem of low system energy efficiency caused by independent control of existing lighting systems, shading devices, and air conditioning systems.

[0008] In a first aspect, this application provides a method for coordinated control of building lighting and air conditioning systems, including: Environmental data of the target area is collected at the beginning of the target control cycle, including indoor illuminance, indoor temperature and solar radiation intensity. A set of control strategies for the target control cycle is generated. The set of control strategies includes multiple candidate control strategies. Each candidate control strategy is determined based on the shading coefficient of the shading device. Based on the indoor illuminance and indoor temperature under each candidate control strategy, multiple candidate control strategies that meet the preset comfort constraints are selected from the set of control strategies to obtain the target control strategy set. Calculate the equivalent power consumption of each candidate control strategy in the target control strategy set, and select the candidate control strategy with the smallest equivalent power consumption as the optimal control strategy.

[0009] In a second aspect, this application provides a terminal including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method as described in the first aspect or any possible implementation thereof.

[0010] Thirdly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method as described in the first aspect or any possible implementation thereof.

[0011] This application provides a method, terminal, and storage medium for the coordinated control of building lighting and air conditioning systems. It collects environmental data of the target area at the start of a target control cycle, including indoor illuminance, indoor temperature, and solar radiation intensity. A set of control strategies for the target control cycle is generated, comprising multiple candidate control strategies. Each candidate strategy is determined based on the shading coefficient of a shading device. Based on the indoor illuminance and indoor temperature under each candidate control strategy, multiple candidate control strategies that meet preset comfort constraints are selected from the set to obtain a target control strategy set. The equivalent power consumption of each candidate control strategy in the target control strategy set is calculated, and the candidate control strategy with the lowest equivalent power consumption is selected as the optimal control strategy. This application achieves coordinated control of building lighting and air conditioning systems. In traditional methods, lighting and air conditioning systems often operate independently, lacking coordination, which may lead to redundant energy consumption or unreasonable energy allocation. This application, by comprehensively considering the impact of shading devices on illuminance and temperature, as well as the operating parameters of the lighting and air conditioning systems, enables the two systems to cooperate and jointly achieve indoor environmental regulation, fully leveraging synergistic effects and further reducing energy consumption. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a system architecture diagram of the building lighting and air conditioning collaborative control system provided in the embodiments of this application; Figure 2 This is a flowchart illustrating the collaborative control method for building lighting and air conditioning systems provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of the collaborative control device for building lighting and air conditioning systems provided in the embodiments of this application; Figure 4 This is a schematic diagram of the terminal provided in the embodiments of this application. Detailed Implementation

[0014] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0015] To make the objectives, technical solutions, and advantages of this application clearer, the following description will be provided in conjunction with the accompanying drawings and specific embodiments.

[0016] To address the low energy efficiency caused by the independent control of existing lighting systems, shading devices, and air conditioning systems, this application proposes a collaborative control method for building lighting and air conditioning systems. This method quantifies lighting and air conditioning energy consumption into equivalent power consumption. Using the shading coefficient as the core control variable, it iterates through various candidate control strategies, simulating and calculating the power consumption of the lighting system and air conditioning under each strategy. Under the condition of meeting preset indoor comfort constraints, it dynamically selects the optimal control strategy that minimizes the equivalent power consumption and simultaneously adjusts the operating states of the lighting system, shading devices, and air conditioning system. This application overcomes the limitations of independent subsystem control, achieving optimization decision-making from the perspective of the overall building energy system. It effectively resolves the contradiction between lighting energy saving and air conditioning energy saving, significantly reducing the overall building operating energy consumption while ensuring indoor environmental comfort.

[0017] Reference Figure 1 This application applies to a building lighting and air conditioning collaborative control system, which includes a sensing layer, a control layer and an execution layer.

[0018] The sensing layer includes an outdoor environment sensing unit and an indoor environment sensing unit. The outdoor environment sensing unit includes an outdoor light sensor, an outdoor temperature and humidity sensor, and a total solar radiation sensor to collect outdoor environmental data. The indoor environment sensing unit includes an indoor light sensor, an indoor temperature and humidity sensor to collect indoor environmental data, and a human presence sensor to collect indoor status data (i.e., the presence of people).

[0019] The control layer, as the core processing unit, communicates with the perception layer. It receives environmental data collected by the perception layer, executes collaborative control methods, and generates optimized control commands. The control layer can take the form of an embedded smart gateway, an edge computing server, or a central management host in a building automation system.

[0020] The execution layer, which communicates with the control layer, includes shading device actuators, dimmable lighting device actuators, and air conditioning system actuators, used to receive and execute control commands generated by the control layer. The devices controlled by the shading device actuators can be motorized blinds, motorized curtains, or electrochromic glass; the devices controlled by the air conditioning system actuators can be variable air volume (VAV) air conditioning terminals, fan coil units, or cooling beams.

[0021] The building lighting and air conditioning collaborative control system provided in this application has a clear system architecture, can be seamlessly integrated with existing building automation systems, has conventional hardware requirements, clear control logic, and has good prospects for engineering applications.

[0022] Figure 2 This is a flowchart illustrating the implementation of the collaborative control method for building lighting and air conditioning systems provided in this application embodiment. This collaborative control method is applied to the aforementioned collaborative control system for building lighting and air conditioning systems, and the method is described in detail below: In step 101, environmental data of the target area at the start of the target control cycle is collected. The environmental data includes indoor illuminance, indoor temperature and solar radiation intensity.

[0023] The target control cycle is any control cycle of the building lighting and air conditioning coordinated control system. When the target control cycle is the initial control cycle, the building lighting and air conditioning coordinated control system needs to be initialized.

[0024] In this embodiment, the sensor array of the sensing layer collects environmental data of the target area at the start of the target control cycle. The environmental data may include indoor illuminance, indoor temperature, and solar radiation intensity. Specifically, indoor illuminance can be collected by an indoor light sensor, indoor temperature by an indoor temperature and humidity sensor, and solar radiation intensity by a total solar radiation sensor.

[0025] This application embodiment can also collect outdoor illuminance through an outdoor light sensor, outdoor temperature through an outdoor temperature and humidity sensor, and the presence of people indoors through a human presence sensor.

[0026] This application embodiment can comprehensively and accurately grasp the indoor environmental conditions by collecting environmental data such as indoor illuminance, indoor temperature and solar radiation intensity of the target area at the beginning of the target control cycle.

[0027] In one possible implementation, before acquiring environmental data of the target area at the start of the target control cycle, the method may further include: The human presence sensor in the perception layer collects state data of the target area at the beginning of the target control cycle, including the presence of personnel. If the status data shows that no one is present, no further steps are required. If the status data shows that there are personnel present, then proceed to step 101.

[0028] In step 102, a set of control strategies for the target control cycle is generated. The set of control strategies includes multiple candidate control strategies. Each candidate control strategy is determined based on the shading coefficient of the shading device. Based on the indoor illuminance and indoor temperature under each candidate control strategy, multiple candidate control strategies that meet the preset comfort constraints are selected from the set of control strategies to obtain the target control strategy set.

[0029] In this embodiment of the application, the shading coefficient based on the shading device ( Generates a set of discrete or continuous control strategies containing multiple candidate control strategies under the target control cycle. ,in, .For example, The step size is 0.1 from 0 to 1.

[0030] It should be clarified that the set of control strategies is the same for each control cycle.

[0031] The set of control strategies for generating the target control cycle Then, using a set of control strategies Each candidate control strategy Based on indoor illuminance and indoor temperature, eliminate control strategies. A batch of candidate control strategies that do not meet the preset comfort constraints are selected, and the remaining candidate control strategies are combined into a target control strategy set. .

[0032] This application generates a control strategy set containing multiple candidate control strategies and filters them based on preset comfort constraints, providing multiple feasible options for system operation. This diverse strategy set helps to cope with different actual working conditions and needs, making the system operation more flexible and reliable. At the same time, the filtering process can eliminate strategies that do not meet comfort requirements, ensuring that the system always operates under the premise of meeting basic usage needs, thereby improving the quality and stability of system operation.

[0033] In one possible implementation, the preset comfort constraints may include indoor illuminance constraints and indoor temperature constraints; based on the indoor illuminance and indoor temperature under each candidate control strategy, multiple candidate control strategies that satisfy the preset comfort constraints are selected from the control strategy set to obtain the target control strategy set, which may include: Determine whether the indoor illuminance under each candidate control strategy meets the indoor illuminance constraint, and whether the indoor temperature under each candidate control strategy meets the indoor temperature constraint. If the indoor illuminance under each candidate control strategy meets the indoor illuminance constraint, and the indoor temperature under each candidate control strategy meets the indoor temperature constraint, then it is determined that each candidate control strategy in the control strategy set meets the preset comfort constraint, and each candidate control strategy in the control strategy set is combined into the target control strategy set. If there are candidate control strategies that do not meet the indoor illuminance constraint, and / or, if there are candidate control strategies that do not meet the indoor temperature constraint, then the candidate control strategies that do not meet the indoor illuminance constraint and / or, do not meet the indoor temperature constraint will be removed from the control strategy set, and the removed control strategy set will be used to form the target control strategy set.

[0034] Optionally, the candidate control strategies in the set of screening control strategies are compared with the indoor preset comfort constraints by comparing the indoor illuminance and indoor temperature under each candidate control strategy with their corresponding constraints. For the set of control strategies Each candidate control strategy Perform the following steps: Determine the candidate control strategy Does the indoor illuminance meet the indoor illuminance constraint, and what is the candidate control strategy? Does the indoor temperature meet the indoor temperature constraints? If the candidate control strategy The indoor illuminance under the given conditions meets the indoor illuminance constraint, and the candidate control strategy... If the indoor temperature meets the indoor temperature constraint, then the candidate control strategy is determined. To meet the preset comfort constraints in the indoor environment, and to implement this candidate control strategy Add it to the target control strategy set; If the candidate control strategy The indoor illuminance does not meet the indoor illuminance constraint, and / or, the candidate control strategy If the indoor temperature does not meet the indoor temperature constraint, then this candidate control strategy is determined. The indoor preset comfort constraints are not met, and this candidate control strategy is... From the set of control strategies Remove from the list.

[0035] Among them, indoor illuminance constraints can be ,in, This represents the lower limit of indoor illuminance. This represents the upper limit of indoor illuminance.

[0036] Indoor temperature constraints can be ,in, This represents the lower limit of indoor temperature. This represents the upper limit of the indoor temperature.

[0037] This application's embodiments use the comfort requirements of illuminance and temperature as constraints in the optimization problem, fundamentally avoiding sacrificing indoor environmental quality in pursuit of energy conservation, and achieving a balance between energy conservation and comfort.

[0038] In step 103, the equivalent power consumption of each candidate control strategy in the target control strategy set is calculated, and the candidate control strategy with the smallest equivalent power consumption is selected as the optimal control strategy.

[0039] In this embodiment of the application, based on the target control strategy set determined in step 102, the equivalent power consumption of each candidate control strategy in the target control strategy set is calculated respectively. Then, the equivalent power consumption with the smallest value is selected from all equivalent power consumptions, and the candidate control strategy corresponding to the equivalent power consumption is taken as the optimal control strategy.

[0040] This application's embodiments calculate the equivalent power consumption of each candidate control strategy in the target control strategy set, and select the candidate control strategy with the lowest equivalent power consumption as the optimal control strategy. This optimization selection method based on equivalent power consumption can identify the most energy-efficient solution from numerous possible control strategies, avoiding unnecessary energy waste and effectively reducing the overall energy consumption of the building.

[0041] In one possible implementation, the equivalent power consumption of each candidate control strategy in the target control strategy set is calculated, including: For each candidate control policy in the target control policy set, the following steps are performed: Calculate the effective natural illuminance of the candidate control strategy using indoor illuminance. Calculate the equivalent power consumption of the lighting system under the candidate control strategy using the effective natural illuminance; Using the solar radiation intensity and equivalent power consumption of the lighting system under the candidate control strategy, the air conditioning cooling load under the candidate control strategy is calculated, and based on the air conditioning cooling load, the equivalent power consumption of the air conditioning system under the candidate control strategy is calculated. The equivalent power consumption of this control strategy is calculated using the equivalent power consumption of the lighting system and the equivalent power consumption of the air conditioning system.

[0042] Optionally, the calculation process for the equivalent power consumption of each candidate control strategy in the target control strategy set is consistent, and for each candidate control strategy in the target control strategy set... Perform the following steps: Step 1, Calculate candidate control strategies Effective natural light intensity.

[0043] The candidate control strategy and indoor illuminance The product of these two factors is used as the effective natural illuminance. ,Right now:

[0044] Step 2, utilize effective natural illuminance Calculate candidate control strategies Equivalent power consumption of the lighting system ,Right now: Step 2.1, utilizing effective natural illuminance Calculate the candidate control strategy Dimming level ,Right now: Input the effective natural illuminance into the first formula to calculate the dimming level. The first formula is:

[0045] in, To adjust the brightness level, It is a function with maximum value. For target illuminance, Candidate control strategies Effective natural light intensity The natural light utilization factor. For the first One candidate control strategy.

[0046] Step 2.2, set the maximum power of the lighting system. With this candidate control strategy Dimming level The product of these factors is used as the candidate control strategy. Equivalent power consumption of the lighting system ,Right now:

[0047] in, Candidate control strategies The power consumption of the lighting system.

[0048] Step 3, utilize candidate control strategies Solar radiation intensity Equivalent power consumption of lighting system Calculate candidate control strategies air conditioning cooling load ,Right now: The candidate control strategy is calculated using the second formula. air conditioning cooling load The second formula is:

[0049] in, For air conditioning cooling load, For stable heat distribution inside the building, Solar radiation intensity, For the first One candidate control strategy This represents the equivalent power consumption of the lighting system.

[0050] Step 4, based on air conditioning cooling load Calculate candidate control strategies Equivalent power consumption of the air conditioning system ,Right now: The candidate control strategy air conditioning cooling load Coefficient of performance of air conditioning system The ratio of the two values ​​is used as the candidate control strategy. Equivalent power consumption of the air conditioning system ,Right now:

[0051] Step 5: Utilize the equivalent power consumption of the lighting system calculated in Step 2. The equivalent power consumption of the air conditioning system calculated in step 4 Calculate candidate control strategies Equivalent power consumption ,Right now:

[0052] This formula reveals how candidate control strategies simultaneously and inversely affect the energy consumption of lighting and air conditioning systems, and serves as the mathematical foundation for optimization decision-making.

[0053] The embodiments of this application make decisions based on real-time environmental data and a unified physical model, which can adapt to changes in external climate (such as sunny days and cloudy days) and internal usage patterns, ensuring that the control strategy always approaches the optimal.

[0054] In one possible implementation, after selecting the candidate control strategy corresponding to the minimum equivalent power consumption as the optimal control strategy, the method may further include: The control layer distributes the optimal control strategy to the actuators of the shading device, lighting system, and air conditioning system in the execution layer. The actuators of the shading device, lighting system, and air conditioning system are controlled to execute according to the optimal control strategy within the target control cycle. After waiting for the next control cycle, the system returns to collect environmental data of the target area at the beginning of the target control cycle, thus achieving continuous optimization.

[0055] This application's embodiments overcome the limitations of independent subsystem control. Starting from the overall building energy system, it finds the optimal balance point for global energy efficiency by quantifying and weighing the energy consumption relationship between the lighting system and the air conditioning system, thus achieving deep energy saving.

[0056] For example, a building lighting and air conditioning coordinated control system is implemented in an open-plan office area on the west side of a large office building, namely: Sensing layer: Multiple light sensors and temperature and humidity sensors are deployed in the office area, and the average value is taken to represent the regional environment; a total solar radiation sensor and a temperature and humidity sensor are deployed on the west-facing facade outdoors; and human presence sensors are installed in the workstation area.

[0057] Control layer: An industrial-grade embedded smart gateway is used as the core controller, which runs the software program of the collaborative control method for building lighting and air conditioning system provided in the embodiments of this application, and the control cycle is set to 5 minutes.

[0058] Implementation layer: The exterior windows are fitted with electrically adjustable glass (whose light transmittance is equivalent to the shading coefficient). Alternatively, motorized blinds; workstation lighting uses dimmable LED lights; and the area's variable air volume (VAV) air conditioning terminal units are connected to the control system.

[0059] The execution process is as follows: Each control cycle (i.e., 5 minutes) executes the control process once. For example, on a sunny summer afternoon (e.g., 2:00 PM), strong western solar radiation is detected. The value is very high.

[0060] It will then iterate through a series of shading coefficients. (like The equivalent power consumption under each candidate control strategy is simulated and calculated.

[0061] Candidate control strategy A ( (High light transmittance): Abundant natural light, low power consumption of the lighting system. The temperature is close to zero, but the amount of heat gained from the sun is enormous, leading to a high cooling load on the air conditioning system. and equivalent power consumption of air conditioning system Very high, equivalent power consumption Larger.

[0062] Candidate control strategy B ( (Low light transmittance): Effectively blocks most solar radiation, reducing the equivalent power consumption of the air conditioning system. The power consumption is very low, but the indoor natural light is severely insufficient, requiring the use of high-intensity artificial lighting. Very high, equivalent power consumption It's not low either.

[0063] After simulation calculations and comfort verification, candidate control strategy C was found to be... The optimal control strategy is as follows: Under this strategy, the room receives adequate natural light, keeping the lighting system's power consumption at a low to medium level; simultaneously, it blocks approximately 40% of solar radiation, significantly reducing the air conditioning load. The combined effect of these two factors results in a lower equivalent power consumption at the current moment. It reaches the minimum value.

[0064] The building lighting and air conditioning co-control system then executes the optimal control strategy: setting the light transmittance of the dimming glass to 60% (or adjusting the louvers to the corresponding angle), and simultaneously dimming the LED lights to the calculated dimming level. And adjust the air volume of the variable air volume air conditioning terminal to adapt to the new cooling load demand.

[0065] Through the aforementioned periodic rolling optimization, changes in the external environment and internal load can be continuously tracked, enabling real-time, dynamic, and optimal control of the building's energy system.

[0066] This application provides a method for the coordinated control of building lighting and air conditioning systems. It involves collecting environmental data of the target area at the start of a target control cycle, including indoor illuminance, indoor temperature, and solar radiation intensity. A set of control strategies for the target control cycle is generated, comprising multiple candidate control strategies. Each candidate strategy is determined based on the shading coefficient of a shading device. Based on the indoor illuminance and indoor temperature under each candidate strategy, multiple candidate control strategies that meet preset comfort constraints are selected from the set to obtain a target control strategy set. The equivalent power consumption of each candidate control strategy in the target control strategy set is calculated, and the candidate control strategy with the lowest equivalent power consumption is selected as the optimal control strategy. This application achieves coordinated control of building lighting and air conditioning systems. In traditional methods, lighting and air conditioning systems often operate independently, lacking coordination, which may lead to redundant energy consumption or unreasonable energy allocation. This application, by comprehensively considering the impact of shading devices on illuminance and temperature, as well as the operating parameters of the lighting and air conditioning systems, enables the two systems to cooperate and jointly achieve indoor environmental regulation, fully leveraging synergistic effects and further reducing energy consumption.

[0067] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0068] The following are device embodiments of this application. For details not described in detail, please refer to the corresponding method embodiments described above.

[0069] Figure 3 A schematic diagram of the structure of the collaborative control device for building lighting and air conditioning systems provided in an embodiment of this application is shown. For ease of explanation, only the parts related to the embodiment of this application are shown, and are described in detail below: like Figure 3 As shown, the building lighting and air conditioning system coordinated control device 3 includes: Data acquisition module 31 is used to collect environmental data of the target area at the beginning of the target control cycle. The environmental data includes indoor illuminance, indoor temperature and solar radiation intensity. The set generation module 32 is used to generate a set of control strategies for the target control cycle. The set of control strategies includes multiple candidate control strategies. Each candidate control strategy is determined based on the shading coefficient of the shading device. Based on the indoor illuminance and indoor temperature under each candidate control strategy, multiple candidate control strategies that meet the preset comfort constraints are selected from the set of control strategies to obtain the target control strategy set. The strategy determination module 33 is used to calculate the equivalent power consumption of each candidate control strategy in the target control strategy set, and to select the candidate control strategy with the smallest equivalent power consumption as the optimal control strategy.

[0070] This application provides a collaborative control device for building lighting and air conditioning systems. It collects environmental data of the target area at the start of a target control cycle, including indoor illuminance, indoor temperature, and solar radiation intensity. A set of control strategies for the target control cycle is generated, comprising multiple candidate control strategies. Each candidate strategy is determined based on the shading coefficient of a shading device. Based on the indoor illuminance and indoor temperature under each candidate control strategy, multiple candidate control strategies that meet preset comfort constraints are selected from the set to obtain a target control strategy set. The equivalent power consumption of each candidate control strategy in the target control strategy set is calculated, and the candidate control strategy with the lowest equivalent power consumption is selected as the optimal control strategy. This application achieves collaborative control of building lighting and air conditioning systems. In traditional methods, lighting and air conditioning systems often operate independently, lacking coordination, which may lead to redundant energy consumption or unreasonable energy allocation. This application, by comprehensively considering the impact of shading devices on illuminance and temperature, as well as the operating parameters of the lighting and air conditioning systems, enables the two systems to cooperate and jointly achieve indoor environmental regulation, fully leveraging synergistic effects and further reducing energy consumption.

[0071] In one possible implementation, the preset comfort constraints may include indoor illuminance constraints and indoor temperature constraints; the set generation module can specifically be used for: Determine whether the indoor illuminance under each candidate control strategy meets the indoor illuminance constraint, and whether the indoor temperature under each candidate control strategy meets the indoor temperature constraint. If the indoor illuminance under each candidate control strategy meets the indoor illuminance constraint, and the indoor temperature under each candidate control strategy meets the indoor temperature constraint, then it is determined that each candidate control strategy in the control strategy set meets the preset comfort constraint, and each candidate control strategy in the control strategy set is combined into the target control strategy set. If there are candidate control strategies that do not meet the indoor illuminance constraint, and / or, if there are candidate control strategies that do not meet the indoor temperature constraint, then the candidate control strategies that do not meet the indoor illuminance constraint and / or, do not meet the indoor temperature constraint will be removed from the control strategy set, and the removed control strategy set will be used to form the target control strategy set.

[0072] In one possible implementation, the strategy determination module can specifically be used for: For each candidate control policy in the target control policy set, the following steps are performed: Calculate the effective natural illuminance of the candidate control strategy using indoor illuminance. Calculate the equivalent power consumption of the lighting system under the candidate control strategy using the effective natural illuminance; Using the solar radiation intensity and equivalent power consumption of the lighting system under the candidate control strategy, the air conditioning cooling load under the candidate control strategy is calculated, and based on the air conditioning cooling load, the equivalent power consumption of the air conditioning system under the candidate control strategy is calculated. The equivalent power consumption of the candidate control strategy is calculated using the equivalent power consumption of the lighting system and the equivalent power consumption of the air conditioning system.

[0073] In one possible implementation, the strategy determination module can also be used for: The product of the candidate control strategy and the indoor illuminance is taken as the effective natural illuminance.

[0074] In one possible implementation, the strategy determination module can also be used for: Calculate the dimming level under this candidate control strategy using the effective natural illuminance; The product of the maximum power of the lighting system and the dimming level under the candidate control strategy is taken as the equivalent power consumption of the lighting system under the candidate control strategy.

[0075] In one possible implementation, the strategy determination module can also be used for: Input the effective natural illuminance into the first formula to calculate the dimming level. The first formula is:

[0076] in, To adjust the brightness level, It is a function with maximum value. For target illuminance, Candidate control strategies Effective natural light intensity The natural light utilization factor. For the first One candidate control strategy.

[0077] In one possible implementation, the strategy determination module can also be used for: The air conditioning cooling load under this candidate control strategy is calculated using the second formula, which is:

[0078] in, For air conditioning cooling load, For stable heat distribution inside the building, Solar radiation intensity, For the first One candidate control strategy This represents the equivalent power consumption of the lighting system.

[0079] In one possible implementation, the strategy determination module can also be used for: The ratio of the air conditioning cooling load to the air conditioning system's coefficient of performance (COP) under the candidate control strategy is taken as the equivalent power consumption of the air conditioning system under the candidate control strategy.

[0080] Figure 4 This is a schematic diagram of the terminal provided in an embodiment of this application. For example... Figure 4 As shown, the terminal 4 in this embodiment includes: a processor 40, a memory 41, and a computer program 42 stored in the memory 41 and executable on the processor 40. When the processor 40 executes the computer program 42, it implements the steps in the various embodiments of the collaborative control method for building lighting and air conditioning systems described above, for example... Figure 2 Steps 101 to 103 are shown. Alternatively, when the processor 40 executes the computer program 42, it implements the functions of each module / unit in the above-described device embodiments, for example... Figure 3 The functions of each module are shown.

[0081] For example, the computer program 42 can be divided into one or more modules / units, which are stored in the memory 41 and executed by the processor 40 to complete this application. The one or more modules / units can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 42 in the terminal 4. For example, the computer program 42 can be divided into... Figure 3 The modules shown.

[0082] The terminal 4 can be a computing device such as a desktop computer, laptop, handheld computer, or cloud server. The terminal 4 may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will understand that... Figure 4 This is merely an example of terminal 4 and does not constitute a limitation on terminal 4. It may include more or fewer components than shown, or combine certain components, or different components. For example, the terminal may also include input / output devices, network access devices, buses, etc.

[0083] The processor 40 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0084] The memory 41 can be an internal storage unit of the terminal 4, such as a hard disk or memory of the terminal 4. The memory 41 can also be an external storage device of the terminal 4, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the terminal 4. Furthermore, the memory 41 can include both internal storage units and external storage devices of the terminal 4. The memory 41 is used to store the computer program and other programs and data required by the terminal. The memory 41 can also be used to temporarily store data that has been output or will be output.

[0085] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0086] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0087] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0088] In the embodiments provided in this application, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling or direct coupling or communication connection may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0089] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0090] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0091] If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above-described embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various embodiments of the collaborative control method for building lighting and air conditioning systems described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0092] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for coordinated control of building lighting and air conditioning systems, characterized in that, include: Environmental data of the target area is collected at the beginning of the target control cycle, including indoor illuminance, indoor temperature and solar radiation intensity. A set of control strategies for the target control cycle is generated. The set of control strategies includes multiple candidate control strategies. Each candidate control strategy is determined based on the shading coefficient of the shading device. Based on the indoor illuminance and indoor temperature under each candidate control strategy, multiple candidate control strategies that meet the preset comfort constraints are selected from the set of control strategies to obtain the target control strategy set. Calculate the equivalent power consumption of each candidate control strategy in the target control strategy set, and select the candidate control strategy with the smallest equivalent power consumption as the optimal control strategy.

2. The method for coordinated control of building lighting and air conditioning systems according to claim 1, characterized in that, The preset comfort constraints include indoor illuminance constraints and indoor temperature constraints; based on the indoor illuminance and indoor temperature under each candidate control strategy, multiple candidate control strategies that satisfy the preset comfort constraints are selected from the control strategy set to obtain the target control strategy set, including: Determine whether the indoor illuminance under each candidate control strategy meets the indoor illuminance constraint, and whether the indoor temperature under each candidate control strategy meets the indoor temperature constraint. If the indoor illuminance under each candidate control strategy meets the indoor illuminance constraint, and the indoor temperature under each candidate control strategy meets the indoor temperature constraint, then it is determined that each candidate control strategy in the control strategy set meets the preset comfort constraint, and each candidate control strategy in the control strategy set is combined into the target control strategy set. If there are candidate control strategies whose indoor illuminance does not meet the indoor illuminance constraint, and / or, whose indoor temperature does not meet the indoor temperature constraint, then the candidate control strategies that do not meet the indoor illuminance constraint and / or, do not meet the indoor temperature constraint are removed from the control strategy set, and the removed control strategy set is used to form the target control strategy set.

3. The method for coordinated control of building lighting and air conditioning systems according to claim 1, characterized in that, The calculation of the equivalent power consumption of each candidate control strategy in the target control strategy set includes: For each candidate control strategy in the target control strategy set, the following steps are performed: Using the indoor illuminance, calculate the effective natural illuminance of the candidate control strategy; Using the effective natural illuminance, calculate the equivalent power consumption of the lighting system under the candidate control strategy; Using the solar radiation intensity and the equivalent power consumption of the lighting system under the candidate control strategy, the air conditioning cooling load under the candidate control strategy is calculated, and based on the air conditioning cooling load, the equivalent power consumption of the air conditioning system under the candidate control strategy is calculated. The equivalent power consumption of the candidate control strategy is calculated using the equivalent power consumption of the lighting system and the equivalent power consumption of the air conditioning system.

4. The method for coordinated control of building lighting and air conditioning systems according to claim 3, characterized in that, The step of calculating the effective natural illuminance of the candidate control strategy using the indoor illuminance includes: The product of the candidate control strategy and the indoor illuminance is taken as the effective natural illuminance.

5. The method for coordinated control of building lighting and air conditioning systems according to claim 3, characterized in that, The step of calculating the equivalent power consumption of the lighting system under the candidate control strategy using the effective natural illuminance includes: Using the effective natural illuminance, calculate the dimming level under the candidate control strategy; The product of the maximum power of the lighting system and the dimming level under the candidate control strategy is taken as the equivalent power consumption of the lighting system under the candidate control strategy.

6. The method for coordinated control of building lighting and air conditioning systems according to claim 5, characterized in that, The step of calculating the dimming level under the candidate control strategy using the effective natural illuminance includes: The effective natural illuminance is input into the first formula to calculate the dimming level. The first formula is: in, The dimming level, It is a function with maximum value. For target illuminance, Candidate control strategies The effective natural illuminance described below, The natural light utilization factor. For the first One candidate control strategy.

7. The method for coordinated control of building lighting and air conditioning systems according to claim 3, characterized in that, The calculation of the air conditioning cooling load under the candidate control strategy, using the solar radiation intensity and the equivalent power consumption of the lighting system, includes: The air conditioning cooling load under this candidate control strategy is calculated using the second formula, which is: in, The air conditioning cooling load, For stable heat distribution inside the building, The solar radiation intensity is [value missing]. For the first One candidate control strategy The equivalent power consumption of the lighting system is given.

8. The method for coordinated control of building lighting and air conditioning systems according to claim 7, characterized in that, The step of calculating the equivalent power consumption of the air conditioning system under the candidate control strategy based on the air conditioning cooling load includes: The ratio of the air conditioning cooling load to the air conditioning system's coefficient of performance (COP) under the candidate control strategy is taken as the equivalent power consumption of the air conditioning system under the candidate control strategy.

9. A terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the collaborative control method for building lighting and air conditioning systems as described in any one of claims 1 to 8.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the collaborative control method for building lighting and air conditioning systems as described in any one of claims 1 to 8.

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