A method and system for artificial intelligence-based allocation of landscape lighting

Abstract

This application provides a landscape lighting artificial intelligence allocation method and system, applied in the field of landscape lighting control technology. By identifying and responding to temporary changes in regional functions, handling the linkage between adjacent regions, and achieving lighting coordination in boundary areas, it solves the problem that existing technologies are unable to cope with the problem of fine-grained and cross-regional coordinated lighting allocation in complex and dynamic scenarios. It has the advantages of being able to identify and respond to temporary changes in regional functions, handle the linkage between adjacent regions, and achieve lighting coordination in boundary areas, thereby realizing fine-grained, dynamic, and cross-regional coordinated lighting allocation.

Description

Technical Field

[0001] This application relates to the field of landscape lighting control technology, and in particular to an artificial intelligence allocation method and system for landscape lighting. Background Technology

[0002] In large urban central parks, traditional landscape lighting systems rely on preset schedules to control lamp operation, lacking flexibility and unable to adapt to environmental changes and diverse lighting needs, resulting in energy waste and poor lighting effects. To improve efficiency, existing technologies have introduced environmental sensing and data analysis capabilities. By collecting environmental data through sensors and combining it with geographic information and functional attributes, the park is divided into logical units, and pedestrian flow information is monitored to generate preliminary lighting allocation strategies. However, existing technologies have significant limitations when dealing with complex and dynamic scenarios.

[0003] First, the functional attributes of a park area may change due to temporary events, such as opening the lawn for a temporary concert or temporarily using pedestrian walkways for emergency vehicle access. Such temporary functional changes lead to significant shifts in lighting requirements, which existing systems struggle to identify and respond to. Complicating matters further, these changes may only affect a portion of the area; for example, a plaza might be partly used as a temporary market while another part remains a public activity space, making it difficult for existing systems to perform fine-grained functional zoning and lighting strategy adjustments.

[0004] Secondly, the complex spatial relationships between park areas pose a challenge to lighting allocation. When the function of an area temporarily changes to require high-intensity lighting (such as an emergency exit), if it is adjacent to an area requiring low-intensity lighting (such as a rest area), the existing system struggles to meet the high-priority needs while also taking into account the functional needs of the adjacent areas, and to achieve lighting coordination at the boundaries to avoid abrupt transitions between light and dark or visual disharmony.

[0005] Existing technologies primarily consider the state of individual areas when making lighting allocation decisions, lacking the modeling and utilization of complex spatial relationships between areas, making it difficult to achieve cross-regional coordination. Therefore, existing technologies struggle to integrate multi-dimensional dynamic information such as real-time environmental perception data, pedestrian activity data, static area characteristics, spatial relationships between areas, and temporary functional changes to generate refined, cross-regional, and consistent dynamic allocation strategies. This is insufficient to address environmental changes, differences in area usage, temporary functional changes, and complex spatial relationships, and to ensure a smooth transition of lighting at area boundaries.

[0006] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0007] In view of the shortcomings of the prior art, this application provides a landscape lighting artificial intelligence allocation method and system, which has the advantages of being able to identify and respond to temporary changes in regional functions, handle the linkage between adjacent areas, and achieve lighting coordination in boundary areas, thereby realizing refined, dynamic, and cross-regional coordinated lighting allocation.

[0008] In a first aspect, a landscape lighting artificial intelligence allocation method is provided, the method comprising the steps of:

[0009] S1: Obtain the functional attributes of the first region after the changes;

[0010] S2: Determine the first lighting parameters for the first area based on the modified functional attributes;

[0011] S3: Determine the second lighting parameters of the second region adjacent to the first region;

[0012] S4: Obtain the boundary region between the first region and the second region, and calculate the coordinated lighting parameters of the boundary region based on the first lighting parameters and the second lighting parameters;

[0013] S5: Generate instructions to control the lighting equipment within the boundary area based on the coordinated lighting parameters.

[0014] This application proposes an artificial intelligence-based method for landscape lighting allocation, which can identify and respond to temporary changes in regional functions, handle the linkage between adjacent areas, and achieve lighting coordination in boundary areas, thereby realizing refined, dynamic, and cross-regional coordinated lighting allocation.

[0015] Furthermore, step S2 includes:

[0016] S21: In response to the changed functional attribute, identify the target sub-region corresponding to the functional attribute within the first region;

[0017] S22: Determine the target lighting parameters for the target sub-region based on the modified functional attributes;

[0018] S23: Determine the background lighting parameters of the remaining areas within the first region, excluding the target sub-region;

[0019] S24: The target light parameters and the background light parameters are jointly determined as the first light parameters.

[0020] The landscape lighting artificial intelligence allocation method proposed in this application further refines the process of determining regional lighting parameters based on functional attributes, enabling more precise lighting allocation for local functional changes within the region.

[0021] Furthermore, step S22 includes:

[0022] S221: Determine the initial target lighting parameters of the target sub-region based on the modified functional attributes;

[0023] S222: Obtain real-time status information within the target sub-region, the real-time status information including environmental status information and personnel activity status information;

[0024] S223: Based on the environmental state information and the personnel activity state information, determine the adjustment amount for adjusting the initial target lighting parameters;

[0025] S224: Generate the target lighting parameters based on the initial target lighting parameters and the adjustment amount.

[0026] The landscape lighting AI allocation method proposed in this application further considers the real-time environment and human activity status of the target sub-area, making the determination of lighting parameters more dynamic and in line with actual needs.

[0027] Furthermore, step S3 includes:

[0028] S31: Obtain the priority corresponding to the functional attributes of the first area after the change;

[0029] S32: Obtain the second functional attribute and the second real-time status information of the second area, and determine the basic lighting parameters of the second area based on the second functional attribute and the second real-time status information;

[0030] S33: Determine the linkage adjustment amount for adjusting the basic lighting parameters based on the priority;

[0031] S34: Based on the aforementioned linkage adjustment amount, generate the second lighting parameters.

[0032] The landscape lighting artificial intelligence allocation method proposed in this application further refines the process of determining the lighting parameters of adjacent areas, takes into account the functional priority of the first area, and realizes the linkage adjustment between areas.

[0033] Furthermore, step S34 includes:

[0034] S341: Obtain the lighting parameter constraints corresponding to the second functional attribute;

[0035] S342: Apply the linkage adjustment amount to the basic lighting parameters to generate the lighting parameters to be determined;

[0036] S343: Based on the lighting parameter constraints, the generated undetermined lighting parameters are constrained to generate the second lighting parameters.

[0037] Furthermore, step S4 includes:

[0038] S41: Obtain the third functional attribute of the boundary region, and determine the third basic lighting parameters of the boundary region based on the third functional attribute;

[0039] S42: Determine transition lighting parameters for transitioning in the boundary region based on the first lighting parameters and the second lighting parameters;

[0040] S43: Based on the third basic lighting parameters, the transition lighting parameters are modified to generate the coordinated lighting parameters.

[0041] Furthermore, step S42 includes:

[0042] S421: Divide the boundary region into multiple transition units in space;

[0043] S422: For any one of the multiple transition units, obtain the relative spatial position of any one of the transition units with respect to the first region and the second region, and determine the weight information of the degree of influence of the first region and the second region on any one of the transition units based on the relative space.

[0044] S423: Based on the weight information corresponding to any of the transition units, combine the first light parameter and the second light parameter to generate the transition light parameter of any of the transition units;

[0045] S434: Combine all the aforementioned transition lighting parameters to collectively constitute the transition lighting parameters for the boundary region.

[0046] Furthermore, step S43 includes:

[0047] S431: Based on the third functional attribute, analyze the third basic lighting parameters to identify the core lighting components used to ensure the third functional attribute;

[0048] S432: In the transition lighting parameters, the core lighting component is used to replace the corresponding lighting component in the transition lighting parameters to generate the coordinated lighting parameters.

[0049] Furthermore, step S5 includes:

[0050] S51: Obtain the capability parameters of each lighting device within the boundary area;

[0051] S52: Determine the target lighting status of each lighting device within the boundary area based on the coordinated lighting parameters;

[0052] S53: For lighting equipment whose target lighting condition exceeds its capability parameters, calculate the lighting difference to be compensated based on the target lighting condition and the capability parameters;

[0053] S54: The lighting difference to be compensated is allocated to one or more lighting devices with corresponding compensation capabilities within the boundary area to generate the final lighting state of each lighting device;

[0054] S55: Generate instructions to control the lighting devices within the boundary area based on the final lighting status of each lighting device.

[0055] In a second aspect, a landscape lighting artificial intelligence allocation system, characterized in that it is used to implement the method described in any one of the above claims, the system comprising:

[0056] Acquisition module: Acquires the functional attributes of the first region after the changes;

[0057] First determining module: Determines the first lighting parameters of the first area based on the modified functional attributes;

[0058] Second determining module: Determines the second lighting parameters of the second region adjacent to the first region;

[0059] Calculation module: Obtains the boundary region between the first region and the second region, and calculates the coordinated lighting parameters of the boundary region based on the first lighting parameters and the second lighting parameters;

[0060] Control module: Based on the coordinated lighting parameters, generates instructions to control the lighting equipment within the boundary area.

[0061] Beneficial effects: The landscape lighting artificial intelligence allocation method and system proposed in this application solves the problem that existing technologies are unable to cope with the problem of fine-grained and cross-regional coordinated lighting allocation in complex and dynamic scenes by identifying and responding to temporary changes in regional functions, handling the linkage between adjacent areas, and achieving lighting coordination in boundary areas. It has the advantages of being able to identify and respond to temporary changes in regional functions, handle the linkage between adjacent areas, and achieve lighting coordination in boundary areas, thereby realizing fine-grained, dynamic, and cross-regional coordinated lighting allocation. Attached Figure Description

[0062] Figure 1 This is a flowchart of an artificial intelligence-based method for allocating landscape lighting proposed in this application.

[0063] Figure 2 This is a structural diagram of an artificial intelligence-based landscape lighting allocation system proposed in this application.

[0064] Figure 3 This is an architecture diagram of an artificial intelligence-based landscape lighting allocation system proposed in this application.

[0065] Labeling explanation: 201, Acquisition module; 202, First determination module; 203, Second determination module; 204, Calculation module; 205, Control module. Detailed Implementation

[0066] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and marked in the accompanying drawings can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0067] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0068] Please refer to Figure 1 A landscape lighting AI allocation method, the method includes the following steps:

[0069] S1: Obtain the functional attributes of the first region after the changes;

[0070] S2: Determine the first lighting parameters for the first area based on the changed functional attributes;

[0071] S3: Determine the second lighting parameters for the second region adjacent to the first region;

[0072] S4: Obtain the boundary region between the first region and the second region, and calculate the coordinated lighting parameters of the boundary region based on the first lighting parameters and the second lighting parameters;

[0073] S5: Generate instructions to control the lighting equipment within the boundary area based on the coordinated lighting parameters.

[0074] Step S1 refers to the system sensing or receiving information that the main use or activity type of a specific area in the landscape area has changed. This can be achieved through manual input, sensor data analysis and identification, or linkage with other management systems. For example, it can be manually specified through the user interface, identified by a camera, or synchronized with the event schedule system. Its main purpose is to sense the dynamic changes in the area's function and provide a basis for subsequent lighting adjustments.

[0075] Step S2 refers to calculating or finding the set of lighting parameters required for the area based on the perceived functional attributes, including brightness, color temperature, color, dynamic mode, etc. This can be achieved by consulting a preset function-lighting parameter lookup table. For example, based on the "exhibition area" function, higher brightness, neutral color temperature, and accent lighting parameters can be determined. This is mainly to ensure that the lighting of the first area can adapt to its current functional requirements.

[0076] Step S3 refers to obtaining the current lighting parameter set of the second area that is geographically adjacent to the first area where the function has changed. This can be achieved by querying the current control status of the second area by the system, calculating based on the functional attributes and real-time status information of the second area, or directly obtaining the parameters from the lighting controller of the adjacent area. For example, obtaining the basic lighting parameters of the adjacent pedestrian passage area is mainly to take the lighting status of the adjacent area into account and provide information for boundary coordination.

[0077] Step S4 refers to identifying and defining the physical boundaries where the first and second areas are spatially connected or transitional. This can be achieved through spatial analysis based on geographic information system data, definition according to regional division rules, or manual designation. For example, identifying the pedestrian paths or green belts at the boundary between the two areas is mainly to clarify the physical boundaries where lighting coordination is required.

[0078] The calculation of coordinated lighting parameters for the boundary region refers to generating a set of lighting parameters suitable for the boundary region based on the lighting parameters of the first and second regions, through certain algorithms or rules. This aims to achieve a smooth transition or reasonable differentiation of lighting between the two regions. For example, a gradual brightness value sequence is calculated at the boundary of a region with a large brightness difference. This is mainly to solve the lighting coordination problem at the boundary of adjacent regions.

[0079] Step S5 refers to converting the calculated boundary area coordinated lighting parameters into specific control commands that can be executed by the lighting equipment, such as DMX signals, DALI instructions, or network control messages. This can be achieved by mapping parameters according to the type and capability parameters of the luminaire, generating control protocol messages, or sending control commands through a unified interface. Its main purpose is to apply the coordinated calculation results to the actual control of the lighting equipment.

[0080] As a preferred embodiment, the solution of this application is specifically implemented as follows:

[0081] For example, in a large park, an area normally used as an open lawn (Area 1) is temporarily designated for a small exhibition. The method first obtains the change in the area's functional attribute from "open lawn" to "exhibition area." Based on the functional requirements of the "exhibition area," the lighting parameters for Area 1 are determined, such as increasing overall brightness and adding focused lighting for the exhibits. Adjacent to this exhibition area is a main pedestrian walkway (Area 2), and the method determines the lighting parameters for this walkway, such as basic lighting to ensure passage.

[0082] Subsequently, the boundary area between the exhibition area and the pedestrian walkway was identified. Based on the higher brightness and accent lighting requirements of the exhibition area and the basic lighting requirements of the pedestrian walkway, coordinated lighting parameters for the boundary area were calculated. For example, a transitional brightness gradient was set at the boundary, or specific types of luminaires were used to divide the area.

[0083] Finally, based on the calculated coordinated lighting parameters, control commands are generated and sent to the lighting equipment within the boundary area, enabling it to operate according to the coordinated parameters and achieve a smooth transition or clear definition of lighting between the exhibition area and the pedestrian walkway.

[0084] Through the above-described solution, this application can effectively identify and respond to temporary changes in the functional attributes of landscape areas, ensuring that the area lighting can adapt to new functional requirements. Simultaneously, by considering the lighting conditions of adjacent areas and performing coordinated calculations at boundary areas, it resolves the problem of visual abruptness or functional conflicts caused by excessive differences in lighting between adjacent areas, achieving a smooth transition or reasonable differentiation of lighting at area boundaries. This enables the landscape lighting system to adapt more flexibly and intelligently to dynamically changing environments and usage scenarios, improving the overall lighting effect and user experience, and contributing to optimized energy use.

[0085] Furthermore, step S2 includes:

[0086] S21: In response to the changed functional attributes, identify the target sub-region corresponding to the functional attributes within the first region;

[0087] S22: Determine the target lighting parameters for the target sub-region based on the changed functional attributes;

[0088] S23: Determine the background lighting parameters for the remaining areas within the first region, excluding the target sub-region;

[0089] S24: The target light parameters and the background light parameters are jointly determined as the first light parameters.

[0090] The target sub-region refers to a local area within the first region that is directly related to the changed functional attributes. The lighting requirements within this area change due to the change in functional attributes. It can be a specific activity area identified through preset area division information, sensor data, or image analysis, or identified based on an area specified by user input.

[0091] Target lighting parameters refer to the lighting configuration specifically determined for a target sub-area to meet the specific lighting needs corresponding to the changed functional attributes of that sub-area. They can be found based on the pre-defined correspondence between functional attributes and lighting schemes.

[0092] The remaining region refers to the part of the first region that was not identified as the target sub-region, and its functional attributes may not have changed or have changed only slightly.

[0093] Background lighting parameters refer to the lighting configuration determined for the remaining areas. They can either retain the lighting parameters of the area before the change, or adopt the default lighting parameters that match the overall functional attributes of the first area.

[0094] Determining the target lighting parameters and background lighting parameters together as the first lighting parameters means combining the specific lighting configuration for the target sub-area with the background lighting configuration for the remaining area to form a final lighting scheme covering the entire first area. This combination can be spatial division and separate application, so that different parts of the first area apply different lighting parameters according to their functional attributes.

[0095] This solution achieves refined lighting allocation within the first area by subdividing the first area into target sub-areas and remaining areas, determining differentiated lighting parameters for each, and then combining these parameters to form the lighting parameters for the entire area.

[0096] For example, in a large plaza area, its normal function is as a public activity space. When a stage is temporarily set up in part of the plaza for a small performance, the system responds to this change in function. The system identifies the stage area and the audience area in front of it as the target sub-area. Based on the "performance" function, the system determines target lighting parameters for the target sub-area. For example, the stage area lights are set to high brightness, warm color, and with a follow spot effect; the audience area lights are set to moderate brightness to ensure audience safety and viewing experience. Simultaneously, the system designates the remaining area of ​​the plaza, excluding the stage and audience areas, as the background area and determines background lighting parameters for it. For example, it maintains the default lighting state as a public activity space, with moderate brightness and white light. Finally, the specific lighting parameters of the target sub-area are combined with the background lighting parameters of the remaining area to form the first lighting parameters covering the entire plaza area, resulting in differentiated lighting effects for different parts of the plaza that correspond to their functions.

[0097] Furthermore, step S22 includes:

[0098] S221: Determine the initial target lighting parameters for the target sub-region based on the changed functional attributes;

[0099] S222: Obtain real-time status information within the target sub-region, including environmental status information and personnel activity status information;

[0100] S223: Based on environmental status information and personnel activity status information, determine the adjustment amount used to adjust the initial target lighting parameters;

[0101] S224: Generate target lighting parameters based on the initial target lighting parameters and adjustment amounts.

[0102] Among them, obtaining real-time status information within the target sub-region is a key input for perceiving real-time dynamic changes.

[0103] Real-time status information refers to the immediate reflection of the environmental conditions and human activities within a target sub-area at a specific point in time or time period. Environmental status information may include, but is not limited to, physical environmental parameters such as natural light intensity, weather conditions (e.g., sunny, cloudy, rainy, foggy), temperature, and humidity. Human activity status information may include, but is not limited to, the number of people within the target sub-area, personnel density, personnel movement speed, personnel dwell time, and personnel activity types (e.g., passing through, gathering, resting). This information can be collected in real time by various sensor devices (e.g., light sensors, weather sensors, cameras, infrared sensors, radar sensors, etc.).

[0104] Adjustment amounts are calculated based on real-time status information and are used to correct the values ​​or attributes of the initial target lighting parameters. Adjustment amounts can be expressed as increments, proportional coefficients, or specific target values ​​for lighting parameters such as brightness, color temperature, color, and dynamic mode. For example, when ambient light increases, the adjustment amount may indicate a reduction in lighting brightness; when population density increases, the adjustment amount may indicate an increase in brightness in a specific area or a change in lighting mode.

[0105] This application introduces the perception and utilization of real-time status information of the target sub-region, enabling the target lighting parameters determined for the target sub-region to dynamically adapt to real-time changes. As a preferred implementation, the initial target lighting parameters for the target sub-region can be determined based on a preset rule base or model, which stores the mapping relationship between different functional attributes and their corresponding initial lighting parameters.

[0106] For example, for the "rest area" function, the initial target lighting parameters can be set to low brightness, warm tone, and static mode; for the "activity plaza" function, the initial target lighting parameters can be set to high brightness, neutral tone, and variable mode.

[0107] Real-time status information within the target sub-region can be obtained through various sensors deployed within the region. For example, light sensors measure ambient brightness, cameras combined with image analysis technology are used to count the number and density of people, and weather stations are used to acquire weather data. Determining the adjustment amount for adjusting the initial target lighting parameters can employ rule-based reasoning. For instance, a rule can be set: when the ambient brightness is higher than a threshold, the brightness adjustment is negative, reducing the lighting brightness; when the population density is higher than a threshold, the brightness adjustment is positive, increasing the lighting brightness.

[0108] The target light parameters are generated based on the initial target light parameters and the adjustment amount. Specifically, this can be achieved by adding or multiplying the initial parameters with the corresponding adjustment amount. For example, the final brightness parameter can be equal to the initial brightness parameter plus the brightness adjustment amount, or equal to the initial brightness parameter multiplied by the brightness adjustment coefficient.

[0109] In some of the solutions mentioned above in this application, only the lighting parameters of the second area were determined, and the impact of the changed functional attributes of the first area on the adjacent second area was not fully considered. In particular, the lighting parameters of the adjacent second area were not adjusted in a coordinated manner according to the priority of the changed functional attributes of the first area. This may result in a lack of coordination between the changed lighting needs of the first area (especially high priority needs) and the lighting effect of the adjacent second area, affecting the coordination and functionality of the overall landscape lighting.

[0110] Therefore, further, step S3 includes:

[0111] S31: Obtain the priority of the functional attributes after the first region is changed;

[0112] S32: Obtain the second functional attribute and second real-time status information of the second area, and determine the basic lighting parameters of the second area based on the second functional attribute and second real-time status information;

[0113] S33: Determine the linkage adjustment amount used to adjust the basic lighting parameters based on the priority;

[0114] S34: Generate the second lighting parameters based on the linkage adjustment amount.

[0115] Among them, priority refers to the importance or urgency of the functional attributes of the first area after the change in the whole landscape lighting system, which can be represented by a preset level division.

[0116] Basic lighting parameters refer to the lighting parameter benchmarks determined based on the attributes and status of the second area itself, without considering the impact of functional changes in adjacent areas. These parameters can be obtained by looking up a table.

[0117] The linkage adjustment amount refers to the correction value calculated based on the priority of the functional attributes of the first area, used to modify the basic lighting parameters of the second area.

[0118] In a specific implementation scenario, suppose the first area is a lawn area that is usually used for resting, but its function is temporarily changed to "emergency evacuation route", while the adjacent second area is a normal pedestrian passage.

[0119] First, the system retrieves the priority corresponding to the changed functional attribute "emergency evacuation route" in the first area by looking up a pre-set priority mapping table. For example, this priority is set to the highest level.

[0120] Next, the system obtains the second functional attribute "pedestrian passage" of the second area (pedestrian passage) and the current second real-time status information. For example, based on the functional attribute "pedestrian passage" of the second area, the system queries the preset function-lighting parameter lookup table to obtain the basic lighting parameters corresponding to the functional attribute. For example, the basic brightness is set to medium level (brightness is 50%) and the color temperature is neutral white light (color temperature is 4000K) to meet the basic needs of pedestrian passage.

[0121] Then, based on the highest priority of the first area, the system determines the linkage adjustment amount for adjusting the basic lighting parameters of the second area. Since the first area is a high-priority emergency evacuation route, the linkage adjustment amount might be set to increase brightness by 50% and adjust the color temperature to 5000K (a cooler white light to enhance warning effectiveness). Finally, based on this linkage adjustment amount, the system generates the second lighting parameters for the second area, that is, superimposing or combining the basic lighting parameters (brightness 50%, color temperature 4000K) with the linkage adjustment amount (brightness +50%, color temperature +1000K) to obtain the final second lighting parameters (brightness 100%, color temperature 5000K). In this way, when the first area becomes an emergency evacuation route, the lights in the adjacent pedestrian routes will also increase brightness and change color temperature in tandem to meet the needs of emergency evacuation, providing clearer guidance and higher safety.

[0122] Furthermore, step S34 includes:

[0123] S341: Obtain the lighting parameter constraints corresponding to the second functional attribute;

[0124] S342: Apply the linkage adjustment amount to the basic lighting parameters to generate the lighting parameters to be determined;

[0125] S343: Based on the constraints of the lighting parameters, perform constraint processing on the generated undetermined lighting parameters to generate the second lighting parameters.

[0126] Among them, the lighting parameter constraints corresponding to the second functional attribute refer to the limitation range or rules of the lighting parameters (such as brightness, color temperature, color, dynamic mode, etc.) of the second area based on the inherent functional attributes of the second area, which can be achieved by looking up the preset parameter table.

[0127] The linkage adjustment amount refers to the value used to adjust the basic lighting parameters of the second area, which is determined according to the priority of the functional attributes after the change of the first area. It can be implemented by using a fixed adjustment value based on the priority level.

[0128] The undetermined lighting parameters refer to the intermediate results obtained after the linkage adjustment amount is initially applied to the basic lighting parameters. They can be represented by the result of direct superposition, multiplication, or other combined operations of the basic lighting parameters and the linkage adjustment amount.

[0129] Constraint processing refers to the process of modifying or limiting the generated parameters of the undetermined light source based on the constraints of the light parameters.

[0130] The second lighting parameters refer to the lighting parameters for the second area that are finally determined after constraint processing. They can be represented by a set of parameters such as brightness value, color temperature value, color value, or dynamic mode that conform to the functional attribute constraints of the second area.

[0131] This solution aims to address the challenge of ensuring that the adjusted lighting parameters do not violate the functional constraints of an adjacent second region when making coordinated adjustments. By introducing lighting parameter constraints corresponding to the functional attributes of the second region and applying these constraints after the coordinated adjustment, the final generated second lighting parameters can both reflect coordination with the first region and meet the functional requirements of the second region itself.

[0132] Specifically, firstly, step S341 provides a basis for subsequent constraint processing. These constraints are determined based on the inherent functional attributes of the second area. For example, a rest area may have constraints such as upper limit of brightness and color range. These constraints ensure that the basic functions and atmosphere of the second area are not destroyed.

[0133] Next, step S342 demonstrates the idea of ​​adjusting the second region in conjunction with the priority of the functional attributes of the first region. The generated pending lighting parameters are preliminary adjustment results, which may exceed the allowable range of the second region itself due to the large magnitude of the linkage adjustment.

[0134] Finally, by bypassing step S343, it uses the acquired constraints to modify or limit the generated undetermined light parameters. For example, if the undetermined brightness exceeds the maximum allowed by the constraints, it is limited to the maximum value; if the undetermined color is outside the allowed range, it is adjusted to the allowed range. Through this constraint processing, the final generated second light parameters consider both the linkage requirements with the first area (through linkage adjustment) and strictly adhere to the limitations of the second area's own functional attributes.

[0135] Compared to schemes that generate second lighting parameters solely based on linkage adjustment amounts, this scheme, upon receiving the linkage adjustment amount determined by the functional attribute priority of the first region, does not directly apply it to the basic lighting parameters as the final result. Instead, it adds a crucial constraint processing step. This step utilizes the lighting parameter constraints determined by the functional attributes of the second region itself to verify and correct the initial adjustment results. This combination ensures that the lighting parameter adjustments of the second region respond to changes in adjacent regions while remaining within the limits allowed by its own functional attributes. This avoids negative impacts on the second region caused by linkage adjustments, ensuring coordinated linkage between adjacent regions while also guaranteeing the functional requirements of the second region.

[0136] Furthermore, step S4 includes:

[0137] S41: Obtain the third functional attribute of the boundary region, and determine the third basic lighting parameters of the boundary region based on the third functional attribute;

[0138] S42: Determine the transition lighting parameters for transitioning in the boundary area based on the first lighting parameters and the second lighting parameters;

[0139] S43: Based on the third basic lighting parameters, modify the transition lighting parameters to generate coordinated lighting parameters.

[0140] The third functional attribute of the boundary area refers to the main role or purpose that the boundary area undertakes in a specific scenario. For example, it may be a passage function, a separation function, a landscape function, or an activity function. It can be identified and determined through preset configuration, manual input, or by analyzing environmental status information and personnel activity status information.

[0141] The third basic lighting parameters refer to the minimum or standard lighting requirements determined based on the third functional attributes of the boundary area to ensure the normal realization of the function. These parameters may include parameters such as brightness, color temperature, color rendering index, and uniformity.

[0142] Transition lighting parameters refer to a set of parameters that reflect the spatial or temporal trends of the lighting status of adjacent first and second areas within the boundary area. They aim to achieve a smooth visual transition or reasonable differentiation. They can be determined by interpolating the first and second lighting parameters, weighting them, or by performing function calculations based on the relative distance or spatial relationship between different locations within the boundary area and adjacent areas.

[0143] Correction refers to the process of adjusting the boundary area's own third basic lighting parameters based on the initially determined transition lighting parameters, in order to ensure that the final generated coordinated lighting parameters can meet the functional requirements of the boundary area. Correction methods may include parameter superposition, taking the maximum or minimum value, replacing specific lighting components, or adjusting based on preset rules or models.

[0144] Coordinated lighting parameters refer to the final lighting control parameters that have been modified to take into account both the transitional needs of adjacent areas and the functional needs of the boundary area itself, and are used to guide the operation of lighting equipment within the boundary area.

[0145] In a preferred embodiment, within a large park setting, assuming the first area is a main road whose function is temporarily changed to an emergency evacuation route, its first lighting parameters are set to high brightness and a warning color (such as flashing yellow); the second area is an adjacent rest lawn whose function remains unchanged, and its second lighting parameters are set to low brightness and a warm color tone. The boundary area between these two areas may be a paved strip or an edge path.

[0146] According to this scheme, in step S41, the third functional attribute of the boundary area is obtained, such as "safety separation / auxiliary passage zone". Based on this functional attribute, its third basic lighting parameters are determined, for example, requiring a minimum brightness of not less than 10 lux and a color temperature range of 2700K-3000K.

[0147] In step S42, transition lighting parameters for the boundary area are calculated based on the high-brightness warning color parameters of the main road and the low-brightness warm color parameters of the rest lawn. This could be a sequence of parameters along the boundary area from the main road side to the lawn side, with brightness gradually decreasing from high to low and color gradually changing from warning color to warm color.

[0148] In step S43, the transition lighting parameters calculated in step S42 are corrected based on the basic lighting parameters of the boundary area determined in step S41. For example, the brightness values ​​in the transition parameter sequence are checked; if the brightness of some points is below 10 lux, it is increased to 10 lux. Simultaneously, if the color temperature or color in the transition parameters exceeds the range of 2700K-3000K (e.g., including warning colors), it is adjusted to that color temperature range or the warning color component is removed, while ensuring minimum brightness is met. This ensures that the boundary area meets its basic lighting requirements as a safety separation zone while achieving a smooth transition, avoiding sacrificing basic functionality for the transition effect. The final generated coordinated lighting parameters will be used to control the lighting equipment within the boundary area, achieving lighting that provides both a smooth transition and meets its own functional requirements.

[0149] Furthermore, step S42 includes:

[0150] S421: Divide the boundary region into multiple transition units in space;

[0151] S422: For any one of the multiple transition units, obtain the relative spatial position of any one transition unit with the first region and the second region, and determine the weight information of the degree of influence of the first region and the second region on any one transition unit based on the relative space.

[0152] S423: Based on the weight information corresponding to any transition unit, combine the first lighting parameters and the second lighting parameters to generate the transition lighting parameters for any transition unit;

[0153] S434: Combine all transition lighting parameters to form the transition lighting parameters for the boundary area.

[0154] The transition unit refers to a smaller, independently processable sub-region obtained by spatially subdividing the boundary region. It can be implemented by regular grid division, irregular division based on regional characteristics, or division based on the distribution of lighting equipment.

[0155] Relative spatial position refers to the spatial relationship of the transition unit relative to the adjacent first and second regions within the boundary region. For example, it can be the distance from the geometric center of the transition unit to the boundary line of the first and second regions, or the projection position of the line connecting the centroid of the transition unit to the centroid of the first and second regions on the transition unit.

[0156] Weight information refers to the numerical value that reflects the degree to which the transition unit is affected by the first region and the second region. It can be calculated based on the relative spatial position of the transition unit. For example, the closer the unit is to the first region, the greater its weight is affected by the first region, and vice versa.

[0157] Combining the first and second lighting parameters refers to fusing the lighting parameters of the two regions according to the weight information to obtain parameters suitable for the transition unit. This combination can be achieved by weighted average, weighted summation, or other weight-based fusion algorithms.

[0158] For example, in practical implementation, the boundary region can be divided into a two-dimensional grid, with each cell in the grid serving as a transition unit. For any cell, the vertical distance from its center point to the boundary lines of the first and second regions can be calculated. Assuming the distance from the cell's center point to the boundary of the first region is d1, and the distance to the boundary of the second region is d2, the weight of this cell's influence from the first region can be calculated as w1 = d2 / (d1 + d2), and the weight of its influence from the second region is w2 = d1 / (d1 + d2). Based on these weights, the transition light parameters (e.g., brightness value) of this cell can be calculated as L_transition = w1 * L1 + w2 * L2, where L1 is the light parameter (brightness) of the first region, and L2 is the light parameter (brightness) of the second region. By performing this calculation on all cells within the boundary region, a spatially continuously varying distribution of brightness parameters can be obtained, forming a smooth brightness transition. Similar weighted combination methods can be used to calculate other light parameters, such as color and color temperature.

[0159] Furthermore, step S43 includes:

[0160] S431: Based on the third functional attribute, analyze the third basic lighting parameters to identify the core lighting components used to ensure the third functional attribute;

[0161] S432: In the transition lighting parameters, use the core lighting component to replace the corresponding lighting component in the transition lighting parameters to generate coordinated lighting parameters.

[0162] The third functional attribute refers to the specific role or purpose that the boundary area currently undertakes, such as a pedestrian passage, an emergency evacuation area, a landscape node, or a temporary activity area. It can be achieved by using preset functional type identifiers, real-time identified functional status information, or manually set functional labels.

[0163] The third basic lighting parameters refer to the set of lighting parameters that are pre-set or calculated based on the third functional attribute of the boundary area to meet the basic lighting requirements of that functional attribute. They can be implemented using a parameter list, parameter range, or parameter model that includes components such as illuminance, color temperature, color rendering index, and dynamic mode.

[0164] The core lighting component refers to one or more lighting parameter elements that are crucial to ensuring the third functional attribute in the third basic lighting parameters. For example, it may be the minimum illuminance value, a specific color temperature range, a necessary flicker frequency, or a specific color. It can be implemented by specific items in the parameter list, key boundary values ​​of the parameter range, or key factors in the parameter model.

[0165] Transition lighting parameters refer to a set of lighting parameters calculated based on the lighting parameters of adjacent areas, which aim to achieve a smooth change in lighting between the boundary area and adjacent areas.

[0166] Coordinated lighting parameters refer to the final set of lighting parameters obtained after adjusting the transition lighting parameters to take into account the functional requirements of the boundary area itself. It can be implemented using a modified parameter list or parameter model.

[0167] The input lighting parameters are analyzed and interpreted to extract the specific parameter values ​​or parameter types contained therein, which can be achieved using data parsing algorithms; from the parsed lighting parameters, parameter components that meet specific conditions or have specific importance are determined, which can be achieved using pattern matching.

[0168] Using the core light component to replace the corresponding light component in the transition light parameters means updating the parameter values ​​in the transition light parameters that are of the same type as the core light component to the values ​​specified by the core light component.

[0169] For example, in a specific implementation scenario, suppose the third functional attribute of the boundary area is identified as "emergency evacuation route". Based on this functional attribute, the system looks up the preset third basic lighting parameters for the emergency evacuation route. These parameters may specify that the minimum illuminance must reach a certain value (e.g., not less than 50 lux) and the color temperature should be cool white (e.g., 6000K). By analyzing these third basic lighting parameters, the system identifies "minimum illuminance not less than 50 lux" and "color temperature of 6000K" as the core lighting components that ensure the emergency evacuation function.

[0170] Simultaneously, the system has calculated the transition lighting parameters for the boundary region based on the lighting parameters of adjacent areas. These transition lighting parameters may have an illuminance below 50 lux or a warmer color temperature at certain locations. In this case, the system performs a replacement operation. For the illuminance component in the transition lighting parameters, if its value is below 50 lux, it is replaced with 50 lux; for the color temperature component, it is replaced with 6000K. Other components in the transition lighting parameters, such as color rendering index and dynamic mode (if they exist and are not identified as core components), remain unchanged. The final generated coordinated lighting parameters meet the minimum illuminance requirement of 50 lux and the color temperature requirement of 6000K at all locations within the boundary region, while retaining the transition characteristics with adjacent regions in other aspects (such as brightness variation trends and other unreplaced parameters).

[0171] Furthermore, step S5 includes:

[0172] S51: Obtain the capability parameters of each lighting device within the boundary area;

[0173] S52: Determine the target lighting status of each lighting device within the boundary area based on the coordinated lighting parameters;

[0174] S53: For lighting equipment whose target lighting condition exceeds its capability parameters, calculate the lighting difference to be compensated based on the target lighting condition and capability parameters;

[0175] S54: Distribute the lighting difference to be compensated to one or more lighting devices with corresponding compensation capabilities within the boundary area to generate the final lighting state of each lighting device;

[0176] S55: Generate instructions to control the lighting devices within the boundary area based on the final lighting status of each lighting device.

[0177] Among them, the capability parameters refer to the maximum values ​​or support ranges that each lighting device in the boundary area can achieve in terms of brightness, color, and dynamic effects. These parameters can be obtained using a preset equipment model database, equipment self-reported information, or on-site calibration data.

[0178] The target lighting state refers to the ideal lighting effect set for each lighting device within the boundary area based on the coordinated lighting parameters. It can be represented by a set of values ​​or descriptors, such as brightness values, RGB color values, color temperature values, or preset dynamic mode numbers.

[0179] The lighting difference to be compensated refers to the gap between the target lighting state of the lighting equipment and its capability parameters, that is, the lighting effect that the equipment cannot achieve independently. It can be quantified by brightness difference, color vector difference or mode mismatch indicator.

[0180] Lighting equipment with corresponding compensation capabilities refers to equipment whose capacity parameters have not yet reached their upper limit under the current working state, and still have the capacity to undertake additional lighting tasks, such as further increasing brightness, changing color, or performing more complex dynamic effects.

[0181] The final lighting state refers to the actual feasible lighting state determined for each lighting device within the boundary area after capacity matching and compensation allocation. It can be represented by a set of values ​​or descriptors that conform to the device's capacity range and serve as the basis for generating control commands.

[0182] The solution in this application details the specific process of generating control commands for lighting equipment within the boundary area based on the coordinated lighting parameters of the boundary area. Its core lies in fully considering the actual capabilities of each lighting device within the area when converting the ideal coordinated lighting parameters into practical and feasible equipment control commands, and ensuring that the overall lighting effect can meet the requirements of the coordinated lighting parameters as much as possible through a compensation mechanism, thereby solving the problem of lighting effect deviation caused by differences in equipment capabilities.

[0183] For example, suppose there are two types of lighting equipment deployed within a boundary area: Equipment A and Equipment B. Equipment A is a basic floodlight with a maximum brightness of 1000 lumens and only supports white light. Equipment B is an advanced wall washer with a maximum brightness of 3000 lumens and supports full-color adjustment. Based on the calculated coordinated lighting parameters, the ideal lighting requirement for this boundary area is to achieve 2000 lumens of blue light in a certain localized location.

[0184] First, obtain the capability parameters of device A (maximum brightness 1000 lumens, white only) and device B (maximum brightness 3000 lumens, full color). Next, based on the coordinated lighting parameters, determine that the target lighting state for both device A and device B is 2000 lumens of blue light. Then, for device A, its target brightness of 2000 lumens exceeds its maximum capability of 1000 lumens, resulting in a 1000-lumen brightness difference; simultaneously, device A cannot emit blue light, resulting in a color mismatch. Device B's target brightness of 2000 lumens is within its capability range (less than 3000 lumens) and supports blue light, so there is no difference in brightness or color.

[0185] Furthermore, the 1000-lumen brightness difference and blue light color difference generated by device A are allocated to device B, which has corresponding compensation capabilities. Device B's current target brightness is 2000 lumens, leaving a 1000-lumen margin from its maximum capacity of 3000 lumens, and it supports blue light. Therefore, the 1000-lumen brightness difference from device A can be superimposed on device B, making device B's final target brightness 2000 + 1000 = 3000 lumens; simultaneously, device B is responsible for implementing the blue light. Device A's final light state is adjusted to its maximum value within its capability range, i.e., 1000 lumens of white light. Finally, based on device A's final light state (1000 lumens of white light) and device B's final light state (3000 lumens of blue light), corresponding control commands are generated and sent to device A and device B.

[0186] In this way, although device A cannot fully achieve the ideal effect, device B, through capability compensation, makes the overall lighting effect of the boundary area closer to the ideal 2000 lumens blue light requirement. For example, by superimposing the high-brightness blue light of device B with the basic white light of device A, a transition effect that is more in line with the coordination parameters is formed visually.

[0187] Please refer to Figure 2 , Figure 3 A landscape lighting artificial intelligence allocation system, characterized in that, for implementing any of the above methods, the system comprises:

[0188] Module 201: Obtain the changed functional attributes of the first region;

[0189] First determining module 202: Determines the first lighting parameters of the first area based on the changed functional attributes;

[0190] Second determining module 203: Determines the second lighting parameters of the second region adjacent to the first region space;

[0191] Calculation module 204: Obtains the boundary region between the first region and the second region, and calculates the coordinated lighting parameters of the boundary region based on the first lighting parameters and the second lighting parameters;

[0192] Control module 205: Generates instructions to control the lighting equipment within the boundary area based on the coordinated lighting parameters.

[0193] The acquisition module 201 refers to a functional unit used to receive or actively collect external information input. It can adopt hardware structures such as sensor interfaces, network communication interfaces, and data bus interfaces, and be implemented in conjunction with corresponding data acquisition or receiving software modules.

[0194] The first determining module 202 refers to a functional unit used to perform logical judgments, calculations, or queries based on input information, thereby outputting the lighting parameters of the first area. It can be implemented using hardware such as microprocessors, digital signal processors, and application-specific integrated circuits, and run specific algorithms or lookup table programs.

[0195] The second determining module 203 is a functional unit used to determine the lighting parameters of the second area. Its function is similar to that of the first determining module, but the object it processes is the adjacent second area. It can be implemented using hardware and software configurations similar to those of the first determining module 202.

[0196] The computing module 204 refers to a functional unit used to perform complex mathematical operations and logical processing, especially parameter calculations for boundary regions. It can be implemented using a high-performance processor, graphics processor, or dedicated computing acceleration hardware, and run complex computing models or algorithms.

[0197] The control module 205 is a functional unit used to convert the calculated lighting parameters into specific equipment control signals. It can be implemented using hardware such as digital output interface, analog output interface, and communication interface (such as DMX, DALI, Ethernet) in conjunction with equipment driver software.

[0198] This system transforms the aforementioned complex methods into executable system functions by incorporating a series of functional modules. The acquisition module 201 is responsible for sensing changes in the external environment and regional status, particularly temporary changes in regional functional attributes. This information is passed to the first determination module 202, which calculates the required lighting parameters for the first region based on the new functional attributes. Simultaneously, the second determination module 203 acquires the lighting parameters for the second region adjacent to the first region.

[0199] The calculation module 204 receives parameters from the first determining module and the second determining module, identifies the boundary region between the two regions, and then calculates the coordinated lighting parameters applicable to the boundary region based on the lighting parameters of the two regions using a specific coordination algorithm.

[0200] Finally, the control module 205 receives the coordinated lighting parameters, converts them into specific control commands, and sends them to the lighting equipment within the boundary area, driving the equipment to operate according to the coordinated parameters. Through this modular design and information flow, the system can effectively process multi-source information, execute complex computational logic, and generate refined control commands, thereby achieving dynamic, refined, and cross-regional coordinated allocation of landscape lighting. This system, as a carrier of the method, enables the practical application of complex dynamic lighting allocation methods that were previously difficult to implement. It can cope with temporary changes in regional functions, achieve lighting coordination at the boundaries of adjacent areas, and effectively integrate multi-source information for refined, cross-regional coordinated dynamic lighting allocation.

[0201] In this document, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying any such actual relationship or order between these entities or operations.

[0202] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for artificial intelligence-based allocation of landscape lighting, characterized in that, The method includes the following steps: S1: Obtain the functional attributes of the first region after the changes; S2: Determine the first lighting parameters for the first area based on the modified functional attributes; S3: Determine the second lighting parameters of the second region adjacent to the first region; S4: Obtain the boundary region between the first region and the second region, and calculate the coordinated lighting parameters of the boundary region based on the first lighting parameters and the second lighting parameters; S5: Based on the coordinated lighting parameters, generate instructions to control the lighting equipment within the boundary area; Step S3 includes: S31: Obtain the priority corresponding to the functional attributes of the first area after the change; S32: Obtain the second functional attribute and the second real-time status information of the second area, and determine the basic lighting parameters of the second area based on the second functional attribute and the second real-time status information; S33: Determine the linkage adjustment amount for adjusting the basic lighting parameters based on the priority; S34: Generate the second lighting parameters based on the aforementioned linkage adjustment amount; Step S34 includes: S341: Obtain the lighting parameter constraints corresponding to the second functional attribute; S342: Apply the linkage adjustment amount to the basic lighting parameters to generate the lighting parameters to be determined; S343: Based on the lighting parameter constraints, the generated undetermined lighting parameters are constrained to generate the second lighting parameters.

2. The landscape lighting artificial intelligence allocation method according to claim 1, characterized in that, Step S2 includes: S21: In response to the changed functional attribute, identify the target sub-region corresponding to the functional attribute within the first region; S22: Determine the target lighting parameters for the target sub-region based on the modified functional attributes; S23: Determine the background lighting parameters of the remaining areas within the first region, excluding the target sub-region; S24: The target light parameters and the background light parameters are jointly determined as the first light parameters.

3. The landscape lighting artificial intelligence allocation method according to claim 2, characterized in that, Step S22 includes: S221: Determine the initial target lighting parameters of the target sub-region based on the modified functional attributes; S222: Obtain real-time status information within the target sub-region, the real-time status information including environmental status information and personnel activity status information; S223: Based on the environmental state information and the personnel activity state information, determine the adjustment amount for adjusting the initial target lighting parameters; S224: Generate the target lighting parameters based on the initial target lighting parameters and the adjustment amount.

4. The landscape lighting artificial intelligence allocation method according to claim 1, characterized in that, Step S4 includes: S41: Obtain the third functional attribute of the boundary region, and determine the third basic lighting parameters of the boundary region based on the third functional attribute; S42: Determine transition lighting parameters for transitioning in the boundary region based on the first lighting parameters and the second lighting parameters; S43: Based on the third basic lighting parameters, the transition lighting parameters are modified to generate the coordinated lighting parameters.

5. The landscape lighting artificial intelligence allocation method according to claim 4, characterized in that, Step S42 includes: S421: Divide the boundary region into multiple transition units in space; S422: For any one of the multiple transition units, obtain the relative spatial position of any one of the transition units with respect to the first region and the second region, and determine the weight information of the degree of influence of the first region and the second region on any one of the transition units based on the relative space. S423: Based on the weight information corresponding to any of the transition units, combine the first light parameter and the second light parameter to generate the transition light parameter of any of the transition units; S434: Combine all the aforementioned transition lighting parameters to collectively constitute the transition lighting parameters for the boundary region.

6. The landscape lighting artificial intelligence allocation method according to claim 4, characterized in that, Step S43 includes: S431: Based on the third functional attribute, analyze the third basic lighting parameters to identify the core lighting components used to ensure the third functional attribute; S432: In the transition lighting parameters, the core lighting component is used to replace the corresponding lighting component in the transition lighting parameters to generate the coordinated lighting parameters.

7. The landscape lighting artificial intelligence allocation method according to claim 1, characterized in that, Step S5 includes: S51: Obtain the capability parameters of each lighting device within the boundary area; S52: Determine the target lighting status of each lighting device within the boundary area based on the coordinated lighting parameters; S53: For lighting equipment whose target lighting condition exceeds its capability parameters, calculate the lighting difference to be compensated based on the target lighting condition and the capability parameters; S54: The lighting difference to be compensated is allocated to one or more lighting devices with corresponding compensation capabilities within the boundary area to generate the final lighting state of each lighting device; S55: Generate instructions to control the lighting devices within the boundary area based on the final lighting status of each lighting device.

8. A landscape lighting artificial intelligence allocation system, characterized in that, The system for implementing the method according to any one of claims 1-7 comprises: Acquisition module: Acquires the functional attributes of the first region after the changes; First determining module: Determines the first lighting parameters of the first area based on the modified functional attributes; Second determining module: Determines the second lighting parameters of the second region adjacent to the first region; Calculation module: Obtains the boundary region between the first region and the second region, and calculates the coordinated lighting parameters of the boundary region based on the first lighting parameters and the second lighting parameters; Control module: Based on the coordinated lighting parameters, generates instructions to control the lighting equipment within the boundary area.

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