A method for energy-saving control of regional lighting system with fusion of multi-dimensional perception

Abstract

The application relates to the technical field of energy-saving control of regional lighting systems, and particularly discloses an energy-saving control method for a regional lighting system integrating multi-dimensional sensing, which comprises the following steps: multi-dimensional signal acquisition, motion trajectory vector generation, joint sensing signal generation, situation type matching output and lighting control instruction implementation; the application acquires multi-dimensional signals through a motion detection probe array, a sound acquisition device and an illuminance meter, generates a motion trajectory vector, generates a joint sensing signal together with a voiceprint mode, marks the position coordinates, matches a situation rule library to determine a situation type, and generates a lighting instruction; the application realizes accurate and intelligent management of a lighting environment, significantly improves user experience, optimizes energy utilization efficiency through a dynamic self-adaptive energy-saving strategy, reduces unnecessary power consumption, improves the safety and active service capability of the lighting system, and endows the lighting system with high flexibility and expandability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of regional lighting system energy-saving control, in particular to a regional lighting system energy-saving control method fusing multi-dimensional perception. BACKGROUND

[0002] Current building lighting systems generally face challenges in energy efficiency and user experience. Traditional lighting control mainly relies on manual switches or simple timers, which is not only inconvenient to operate, but also prone to long-term energy waste due to human negligence. It cannot be dynamically adjusted according to actual use requirements, resulting in lamps remaining on in unoccupied or sufficient light conditions, and energy consumption is increasingly prominent.

[0003] In order to solve the above problems, some automated solutions have appeared in the industry, such as using a single passive infrared sensor or sound sensor to detect personnel activity. When the sensor detects movement or sound, it triggers the lamp to turn on and automatically turns off after a preset delay. This method achieves automatic control to some extent, reduces energy consumption in some idle states, and is a common energy-saving means in buildings, offices and public areas.

[0004] However, these traditional automated solutions have the following obvious disadvantages: (1) single perception dimension, unable to accurately determine user's true intention and environmental conditions, and unable to distinguish between long-term residence and transient passing of personnel, often turning off the light too early for sitting office personnel and lighting the whole area for passing personnel; (2) ignoring the dynamic changes of natural light, unable to fine-tune the light according to the light difference, and over-illumination when the natural light is sufficient, affecting visual comfort and energy-saving potential; (3) lack of forward-looking path guidance and rapid environmental response capability, unable to light the way in advance, and unable to quickly increase the brightness of supplementary lighting when the natural light suddenly decreases. SUMMARY

[0005] In view of this, in order to solve the problems raised in the background art, a regional lighting system energy-saving control method fusing multi-dimensional perception is proposed.

[0006] The purpose of the present application can be achieved by the following technical solutions: The present application provides a regional lighting system energy-saving control method fusing multi-dimensional perception, comprising the following steps: S1, multi-dimensional signal acquisition: obtaining the moving direction angle and linear velocity value of the moving object generated by the motion detection probe array, obtaining the voiceprint feature pattern generated by the sound collection device, and obtaining the natural light intensity distribution map containing coordinate markers generated by the illuminance meter group.

[0007] S2, motion trajectory vector generation: based on the moving direction angle and linear velocity value of the moving object obtained, a motion trajectory vector is generated.

[0008] S3, joint perception signal generation: time series alignment and binding of the generated motion trajectory vector and the acquired voiceprint feature mode, generation of a joint perception signal, and labeling of the real-time position coordinates in the natural light intensity distribution map for the joint perception signal.

[0009] S4, context type matching output: matching the generated joint perception signal with the preset context rule library to determine the context type.

[0010] S5, lighting control instruction implementation: generating lighting control instructions for the regional lighting system according to the determined context type.

[0011] Compared with the prior art, the embodiments of the present application have at least the following advantages or benefits: (1) The present application realizes precise and intelligent management of the lighting environment through deep fusion and contextual analysis of multi-dimensional perception signals, significantly improving user experience. The system can comprehensively analyze mobile trajectory, voiceprint features and real-time location information, accurately distinguish between short-term stay, long-term stay or rapid transit, and accordingly provide appropriate lighting response, avoiding the light disturbance or sudden extinguishing of traditional sensing lights due to misjudgment, and creating a more comfortable, unobtrusive and humanized light environment.

[0012] (2) The present application proposes a dynamic adaptive energy-saving strategy, which greatly optimizes energy utilization efficiency. The system not only controls light according to the presence or absence of personnel, but further combines a high-precision natural light distribution map to differentially process light demand in different positions and different contexts. Through the implementation of dynamic light strip guidance and regional focused lighting, only the necessary brightness is provided in the necessary path and area, and the illuminance is dynamically compensated according to the real-time change of natural light intensity, thereby minimizing unnecessary power consumption.

[0013] (3) The present application improves the safety and active service capability of the lighting system through forward-looking path guidance and rapid response to environmental changes. When the system determines that the user is in the "instant transit" context, it will actively form a dynamically extended light strip in the user's forward direction to light the way ahead, which can effectively avoid potential risks, especially in dim environments. At the same time, the system can acutely capture the sudden drop in natural light due to weather changes and the like, and quickly and automatically increase the brightness of the supplementary lighting to ensure the continuous stability and safety of the light environment.

[0014] (4) The application has high flexibility and scalability by modular design of context rule base. The system converts complex environment perception information into standardized context such as "instant passage" and "dark zone residence", and binds with specific lighting strategy. This design makes the manager can easily adjust or increase new context determination rules and lighting scheme according to the functional requirements of different places, so that the system can easily adapt to diversified application scenarios such as office, corridor and warehouse without modifying the core algorithm. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the application, the following will briefly introduce the drawings needed to be used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0016] Figure 1 The method step flowchart of the application.

[0017] Figure 2 The natural light intensity distribution map of the application. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only some embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the application.

[0019] Please refer to Figure 1 The application provides a regional lighting system energy-saving control method fusing multi-dimensional perception, which comprises the following steps: S1, multi-dimensional signal acquisition: acquiring the moving direction angle and linear velocity value of a moving object generated by a motion detection probe array, acquiring the voiceprint feature mode generated by a sound acquisition device, and acquiring the natural light intensity distribution map containing coordinate markers generated by a group of illuminometers, please refer to Figure 2 The application provides a regional lighting system energy-saving control method fusing multi-dimensional perception, which comprises the following steps: S1, multi-dimensional signal acquisition: acquiring the moving direction angle and linear velocity value of a moving object generated by a motion detection probe array, acquiring the voiceprint feature mode generated by a sound acquisition device, and acquiring the natural light intensity distribution map containing coordinate markers generated by a group of illuminometers, please refer to

[0020] In the specific embodiments of the application, the specific way of acquiring the moving direction angle and linear velocity value of a moving object generated by a motion detection probe array is: using a motion detection probe array composed of at least two infrared sensors to generate the moving direction angle and linear velocity value of a moving object through the principle of triangulation.

[0021] It is necessary to note that the specified space is continuously monitored by the motion detection probe array deployed in the area. When a moving object enters the monitoring range, each probe in the array will detect the moving object at different times due to different positions. The system records the trigger timestamp and fixed position coordinates of each probe. By processing these time and space data, the position of the moving object at two or more consecutive time points is calculated, and the displacement vector is derived. From the displacement vector, the moving direction angle and linear velocity value of the moving object are analyzed. Secondly, in parallel, the sound acquisition device set in the area continuously captures the environmental acoustic signal. The raw audio stream collected is sent to a sound processing unit, which analyzes the frequency spectrum, rhythm, and timbre of the audio signal, and compares it with a predefined sound pattern library, finally identifies and outputs a voiceprint feature pattern that can represent the current sound event. The voiceprint feature pattern classification includes silence mode or activity mode. Finally, the illuminance meter group distributed on the ceiling or wall of the entire area is used to measure the natural light intensity at each point in time. Each illuminance meter is pre-calibrated with its precise position in the two-dimensional or three-dimensional coordinate system of the area. The system collects all real-time readings of the illuminance meters and their corresponding coordinate markers, and finally generates and updates a complete, digital natural light intensity distribution map in real time.

[0022] It is also necessary to note that the formula for calculating the linear velocity value is: The formula for calculating the moving direction angle is: . Wherein, represents the linear velocity value, represents the moving direction angle, and represent the plane coordinates of the moving object at time and positioned by the motion detection probe array, these coordinate values are obtained in real time by at least two infrared sensors using the triangulation positioning principle, and are recorded by the system internal clock, and the trigger event time of the sensor is set as the basis.

[0023] It should be further explained that the motion detection probe array is a physical device consisting of at least two passive infrared sensors installed at a predetermined interval. Its function is to work together to determine the precise position, direction, and speed of a moving object. The movement direction angle is a data attribute, its physical quantity being an angle, used to describe the angle between the object's direction of travel and a preset reference coordinate axis. The linear velocity value is a data attribute, its physical quantity being velocity, used to describe the distance the object moves per unit time. The sound acquisition device is a hardware device, typically an omnidirectional microphone, used to convert ambient sound waves into electrical signals. The voiceprint feature pattern is a data structure, usually a set of feature vectors, that extracts simplified information characterizing the essential attributes of the sound source from complex audio signals, using a pre-established database containing silent and active patterns. The illuminance meter array is a network of multiple independent photosensitive sensors, whose function is to synchronously measure and report the ambient light intensity at their respective locations.

[0024] For example, a motion detection probe array is deployed in a 10-meter-long corridor, with its coordinate system origin set at the corridor entrance. When an employee walks in from the entrance, the system records the motion at a specific time. At time t2 = 1 second, the employee's coordinates were located at (0.5, 1.5), and at time t2 = 1 second, the coordinates were located at (2.0, 1.5). Based on this, the employee's linear velocity was calculated to be 1.5 m / s, and the direction of movement angle was 0 degrees, indicating that the employee was moving along the positive X-axis. Simultaneously, a sound acquisition device deployed in the middle of the corridor captured regular footsteps, processed them, and matched them to generate a voiceprint feature pattern marked as a silent mode.

[0025] S2. Motion trajectory vector generation: Based on the obtained moving direction angle and linear velocity values ​​of the moving object, a motion trajectory vector is generated by fusing them.

[0026] In a specific embodiment of the present invention, the method for generating the motion trajectory vector by fusing is as follows: the movement direction angle and linear velocity value of the moving object are normalized respectively, and the normalized movement direction angle and linear velocity value are weighted and summed with the corresponding proportion weights to generate the motion trajectory vector.

[0027] It's important to note that the system receives real-time data streams, specifically the movement direction angle and linear velocity values ​​of the moving object. To effectively fuse these two data points with completely different physical dimensions and numerical ranges, they are first normalized. The movement direction angle is typically measured in degrees, ranging from, for example, -180 degrees to +180 degrees; while the linear velocity is measured in meters per second, with its range determined based on the specific scenario. Normalization linearly maps both values ​​to a unified, dimensionless interval, such as between 0 and 1. After normalization, the system performs a weighted calculation on the normalized movement direction angle and linear velocity values ​​according to preset weights. This step aims to assign different influences to directional stability and movement speed based on the importance of these factors in different application scenarios. Finally, the two weighted values ​​are summed to obtain a comprehensive scalar value, defined as the motion trajectory vector, which encapsulates the key information about the moving object's current motion state.

[0028] It should also be noted that the specific formulas for normalization and weighted summation are as follows: ,in, The final generated motion trajectory vector, and These are the linear velocity value and the direction angle of movement of the moving object, respectively. and This is the speed normalization boundary set by the system. It is set based on the minimum and maximum typical values ​​of personnel movement speed obtained through extensive observation of daily activities of people in the target area. and It is the normalization boundary of the movement direction angle, which is set based on the standard angle representation range, such as negative 180 degrees and positive 180 degrees. and These are the weights corresponding to linear velocity and the direction angle of movement, respectively. They are all positive numbers and sum to 1. Their settings are based on empirical configuration according to the emphasis of the control strategy. In scenarios emphasizing rapid passage, [the weights can be adjusted accordingly]. Set it to 0.7. Set it to 0.3.

[0029] S3. Joint sensing signal generation: The generated motion trajectory vector is aligned and bound with the acquired voiceprint feature pattern in time series to generate a joint sensing signal, and the joint sensing signal is marked with its real-time location coordinates in the natural light intensity distribution map.

[0030] It should be noted that the system's central processing unit continuously receives the generated motion trajectory vector data stream and voiceprint feature pattern data stream. Since all sensor data is timestamped by a unified system clock, the system first performs a time series alignment operation. This operation uses the time point of motion trajectory vector generation as a reference to search for voiceprint feature patterns generated by the sound acquisition device within the same time point or a very close time window. After finding the two corresponding data points, the system performs a binding operation, integrating these two pieces of information from different sensor sources but synchronized in time into a new, structured data unit—the joint sensing signal. Simultaneously with generating the joint sensing signal, the system extracts the latest position coordinates of the moving object used to calculate the direction angle and linear velocity values ​​from the underlying data of the motion detection probe array. This coordinate information is used as the real-time position coordinates of the joint sensing signal and is appended to it via data tagging. Thus, each generated joint sensing signal not only contains fused motion and sound information but also carries its precise spatial location information within the natural light intensity distribution map.

[0031] It should also be noted that the joint sensing signal is a composite data structure, characterized by encapsulating four types of information: timestamp, motion trajectory vector, voiceprint feature pattern, and real-time location coordinates. Its function is to provide a multi-dimensional, spatiotemporally synchronized comprehensive input for subsequent contextual judgment.

[0032] For example, the system generates a motion trajectory vector with a value of 0.50 at time t=1 second. Through time series alignment, the system discovers that at the same time t=1 second, the voiceprint feature pattern output by the sound acquisition device is in silent mode. The system binds these two pieces of information. Simultaneously, the system extracts the position of the moving object corresponding to the calculation of this motion trajectory vector, i.e., the real-time position coordinates (2.0, 1.5). Finally, at time t=1 second, the system generates a joint sensing signal. This signal is a data packet containing: a motion trajectory vector of 0.50, a voiceprint feature pattern of silent mode, and the real-time position coordinates (2.0, 1.5). These coordinates (2.0, 1.5) can be directly associated with the generated natural light intensity distribution map for subsequent queries of the light intensity at that point.

[0033] S4. Context type matching output: The generated joint sensing signal is matched with the preset context rule base to determine the context type;

[0034] In a specific embodiment of the present invention, the specific process of matching the generated joint sensing signal with a preset situation rule base to determine the situation type is as follows: when the motion trajectory vector in the joint sensing signal indicates a stable direction and the speed is higher than a preset first speed threshold, and the voiceprint feature pattern is a preset silent mode, the situation type is determined to be an instantaneous traversal situation.

[0035] When the motion trajectory vector in the joint sensing signal indicates a speed lower than a preset second speed threshold and a duration exceeding a preset duration threshold, and the voiceprint feature pattern is a preset silent mode, the situation type is re-determined.

[0036] In a specific embodiment of the present invention, the specific method for re-determining the scenario type is as follows: extract the illumination value corresponding to the real-time location coordinates of the joint sensing signal from the natural light intensity distribution map; if the extracted illumination value is lower than a preset first illumination threshold, the scenario type is determined to be a dark area dwelling scenario; if the extracted illumination value is higher than the preset first illumination threshold, the scenario type is determined to be a bright area dwelling scenario.

[0037] It should be noted that the system sends the real-time generated joint sensing signals into a context matching engine. The core function of this engine is to perform logical judgments on the input joint sensing signals based on a preset context rule base, thereby parsing the activity state of the moving object at the current moment. This matching process is executed continuously. The system analyzes single joint sensing signals and joint sensing signals within a short time series to capture dynamic changes. The specific matching logic is based on the rules in the context rule base. For example, when a joint sensing signal arrives, the engine executes the following judgment process: First, it checks whether the voiceprint feature pattern in the joint sensing signal is a preset silent mode. If so, it continues to analyze motion features. The engine retrieves continuous joint sensing signals from the most recent period and extracts the movement direction angle and linear velocity value sequence from them. By calculating the dispersion of this direction angle sequence, it judges the stability of the direction and checks whether the current linear velocity value is higher than a preset first velocity threshold. If the direction is stable, the velocity is higher than the threshold, and the environment is in a silent mode, the context type is determined to be an instantaneous passage context. Alternatively, if the engine detects that the linear velocity value in the joint sensing signal is consistently below a preset second velocity threshold, and the duration of this low-speed state exceeds a preset duration threshold, while the voiceprint feature pattern is also in silent mode, then the engine will not directly output the final situation type, but will trigger an internal re-determination instruction to guide the processing flow to a more refined analysis stage.

[0038] It should also be noted that the specific formula for evaluating stability using the standard deviation of the orientation angle is as follows: ,in, It is the standard deviation of the direction angle, representing the degree of dispersion or instability of the direction. It is the first in the time series The values ​​of the direction of movement angles contained in the joint sensing signals, Is this it? The average value of each direction of movement angle. Indicates the direction angle number of movement. ,when When the value is less than a preset stability threshold, the direction is considered stable. The preset stability threshold can be 6 degrees, which is reasonably set with reference to historical data analysis and experience summary.

[0039] It should be further explained that the context rule base is a pre-configured data structure characterized by a series of "if-then" logical conditional statements. Its function is to define the mapping relationship between different combinations of joint sensing signals and specific context types. Its setting is based on long-term observation and data analysis of typical activity patterns within the target area. Context type is a data attribute characterized by descriptive text labels used to classify the activity scenarios identified by the system, such as "instantaneous traversal context" or "dark area dwelling context".

[0040] In one specific embodiment of the present invention, the first speed threshold is a preset numerical parameter, the physical quantity being speed, used to distinguish between purposeful rapid movement and loitering or lingering behavior. It is set based on statistical data of walking speeds of people in a large office environment and can be set to 1 m / s. The second speed threshold is another preset numerical parameter, the physical quantity being speed, used to identify a quasi-stationary state, and is usually set very low, such as 0.2 m / s. The preset duration threshold is a preset numerical parameter, the physical quantity being time, used to filter out brief pauses, ensuring that only continuous low-speed states are considered potential lingering behavior; it can be set to 5 seconds. The first illumination threshold can be 30 lux, which is set according to the minimum illuminance requirements for indoor activities in international lighting standards.

[0041] S5. Implementation of lighting control instructions: Based on the determined scenario type, generate lighting control instructions for the area lighting system.

[0042] In a specific embodiment of the present invention, the specific process of generating a lighting control instruction containing the target lighting group number, brightness value and gradient duration parameter according to the determined situation type is as follows: when the determined situation type is an instantaneous traversal situation, the lighting fixtures in front are activated sequentially at preset time intervals along the extension direction of the motion trajectory vector to form a light strip in the forward direction, and the brightness value of the lighting fixtures behind is reduced simultaneously, and the brightness value of the lighting fixtures behind is determined.

[0043] In a specific embodiment of the present invention, the specific steps of activating the forward path lights sequentially at preset time intervals include: before activating each forward path light, querying the illumination value of the forward path light location in the natural light intensity distribution map.

[0044] When the queried illumination value is lower than the preset second illumination threshold, the target brightness value of the lights on the path ahead is determined by combining the natural light intensity distribution map and the motion trajectory vector.

[0045] It should be noted that the formula for calculating the target brightness value is: ,in, This is the final target brightness value. This is the basic brightness value required to ensure safety and comfort in a completely dark environment, and its setting is based on lighting design standards. It is the natural illuminance value of the current lamp location, retrieved from a natural light intensity distribution map. That is, the second illumination threshold, which serves as a reference upper limit.

[0046] It should also be noted that the formula for calculating the reduced brightness value of the rear path lights is as follows: ,in, This indicates the reduction in brightness of the lights in the path behind. This indicates the original brightness value of the lights in the path behind. It is a coefficient less than 1, used to control the ratio of rear brightness to front brightness. A specific value can be 0.6, used in visual experiments to simulate different scenarios. The evaluation and testing of lighting comfort and environmental perception capabilities under the given values ​​were conducted.

[0047] When the determined scenario type is a dark zone dwell scenario, the real-time position coordinates in the joint sensing signal are used as the dwell point coordinates, and the lamps within a preset radius centered on the dwell point coordinates are lit.

[0048] In a specific embodiment of the present invention, when the determined scenario type is a dark area dwell scenario, using the real-time position coordinates in the joint sensing signal as the dwell point coordinates, lighting up the lamps within a preset radius centered on the dwell point coordinates further includes: after lighting up the lamps within the preset radius, activating a delayed shutdown protection mechanism.

[0049] During the duration of the delayed shutdown protection mechanism, the lamp remains lit and minute motion signals with speed values ​​lower than the preset micro-motion speed threshold reported by the motion detection probe array are ignored.

[0050] When the determined scenario type is a bright area dwell scenario, the real-time position in the joint sensing signal is used as the dwell point, and only the single lamp directly above the dwell point coordinates is activated to a lower brightness value.

[0051] In a specific embodiment of the present invention, when the determined scenario type is a bright area dwell scenario, taking the real-time position in the joint sensing signal as the dwell point, and activating only a single lamp directly above the dwell point coordinates to a lower brightness value, further includes: continuously monitoring the illumination value of the dwell point coordinates in the natural light intensity distribution map, and when the illumination value is detected to have dropped by more than a preset drop ratio, automatically increasing the brightness value of the single lamp, and determining the brightness increase value of the single lamp.

[0052] It should be noted that the formula for calculating the percentage of sudden drop in illumination is as follows: ,in, It is the calculated percentage of sudden drop in illumination value. This is the illumination value from the previous monitoring period. These are the illumination values ​​for the current monitoring period. Both values ​​are derived from continuous queries of the natural light intensity distribution map.

[0053] It should also be noted that the formula for calculating the brightness improvement value of the single lamp is as follows: ,in, Indicates the brightness increase value. The adjustment coefficient can be set to 0.5. The value is determined by recruiting volunteers of different ages and genders to experience the environment in a simulated sudden drop in light, and integrating the data from the questionnaires completed by the volunteers regarding visual comfort and environmental adaptability.

[0054] It should be noted that upon receiving the determined scenario type, the system immediately queries the matching lighting strategy and generates corresponding lighting control instructions for the area lighting system. When the determined scenario type is a momentary traversal scenario, the system predicts the future path of the moving object based on the direction and speed indicated by the motion trajectory vector in the joint sensing signal. Along this path, the system sends activation instructions to the lights along the path one by one at preset time intervals dynamically calculated based on the movement speed, forming a light strip that follows the object's movement. Simultaneously, it sends instructions to reduce the brightness of the lights behind the object to save energy. Before activating each light in front, the system first queries the illuminance value corresponding to the coordinate position of the light in the natural light intensity distribution map. Only when this illuminance value is lower than a preset second illuminance threshold will the system combine the current natural light intensity and movement speed to determine the final target brightness value and execute the lighting. When the determined scenario type is a dark area dwelling scenario, the system adopts the real-time position coordinates in the joint sensing signal as the dwelling point coordinates, and uses these coordinates as the center to determine all the lights that need to be lit within a preset radius, sending instructions to them to achieve a comfortable lighting brightness. After the lighting operation is completed, the system simultaneously activates a delayed shutdown protection mechanism. During the duration of this mechanism, the lights will remain on, and the system will actively ignore minute motion signals reported by the motion detection probe array with speed values ​​below a preset micro-motion speed threshold to avoid light flickering caused by small-scale human activity. When the determined scenario is a bright area stay scenario, since there is already sufficient natural light in the stay area, the system only sends a command to the single light fixture directly above the stay point coordinates to activate it to a lower brightness value for supplementary or task lighting. At the same time, the system continuously monitors the illuminance value at the stay point coordinates in the natural light intensity distribution map. Once a sharp drop in illuminance value exceeding a preset sudden drop ratio is detected, the brightness value of the single light fixture will be automatically increased to compensate for the loss of natural light.

[0055] It should also be noted that the preset time interval is a dynamically calculated time value. It is set based on the physical distance between the lamps divided by the linear velocity of the moving object, which gives the time required to move from the influence range of one lamp to the influence range of the next lamp.

[0056] In one specific embodiment of the present invention, the second illumination threshold is a preset numerical parameter, the physical quantity of which is illuminance, which can be set to 50 lux. It is used to determine whether natural light is sufficient, and its setting is based on the minimum ambient illuminance requirements for auxiliary lighting activation in the national building lighting design standard. The preset radius range is a numerical parameter, the physical quantity of which is length, which can be set to 2.5 meters. It is set based on creating a comfortable lighting range sufficient to cover the activity area of ​​a single person or a group. The preset micro-motion speed threshold is an extremely low speed parameter, which can be set to 0.05 m / s. It is used to distinguish between meaningful positional changes and unconscious body swaying and other minute movements. The lower brightness value is a preset brightness level, which can be set to 20% of the maximum brightness. It is used to provide non-glaring supplementary lighting in bright environments. It is determined through a large number of visual experiments and real-world scenario tests to ensure that it does not cause visual discomfort while providing supplementary lighting. The preset drop ratio is a percentage parameter, which can be set to 30%. It is used to quantify the degree of drop that requires triggering compensation logic. It is based on the quantitative analysis of the degree of illumination change, combined with the requirements of illumination stability in different scenarios, and has been verified through multiple simulations and practical applications.

[0057] The above content is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, and all such modifications or additions should fall within the protection scope of the present invention.

Claims

1. An energy-saving control method for a regional lighting system integrating multi-dimensional sensing, characterized in that, Includes the following steps: S1. Multidimensional signal acquisition: Acquire the direction angle and linear velocity values ​​of the moving object generated by the motion detection probe array, acquire the voiceprint feature pattern generated by the sound acquisition device, and acquire the natural light intensity distribution map with coordinate markers generated by the illuminance meter group. S2. Motion trajectory vector generation: Based on the obtained moving direction angle and linear velocity values ​​of the moving object, a motion trajectory vector is generated by fusing them. S3. Joint sensing signal generation: The generated motion trajectory vector is aligned and bound with the acquired voiceprint feature pattern in time series to generate a joint sensing signal, and the joint sensing signal is marked with the real-time position coordinates in the natural light intensity distribution map. S4. Context type matching output: The generated joint sensing signal is matched with the preset context rule base to determine the context type; S5. Implementation of lighting control instructions: Based on the determined scenario type, generate lighting control instructions for the area lighting system.

2. The energy-saving control method for a regional lighting system integrating multi-dimensional sensing according to claim 1, characterized in that: The specific method for obtaining the movement direction angle and linear velocity values ​​of the moving object generated by the motion detection probe array is as follows: using a motion detection probe array composed of at least two infrared sensors, the movement direction angle and linear velocity values ​​of the moving object are generated through the principle of triangulation.

3. The energy-saving control method for a regional lighting system integrating multi-dimensional perception according to claim 1, characterized in that: The specific method for generating the motion trajectory vector by fusion is as follows: the movement direction angle and linear velocity value of the moving object are normalized respectively, and the normalized movement direction angle and linear velocity value are weighted and summed with the corresponding proportion weights to generate the motion trajectory vector.

4. The energy-saving control method for a regional lighting system integrating multi-dimensional sensing according to claim 1, characterized in that: The specific process of matching the generated joint sensing signal with a preset context rule base to determine the context type is as follows: When the motion trajectory vector in the joint sensing signal indicates a stable direction and a speed higher than a preset first speed threshold, and the voiceprint feature pattern is a preset silent mode, the situation type is determined to be an instantaneous passage situation. When the motion trajectory vector in the joint sensing signal indicates a speed lower than a preset second speed threshold and a duration exceeding a preset duration threshold, and the voiceprint feature pattern is a preset silent mode, the situation type is re-determined.

5. The energy-saving control method for a regional lighting system integrating multi-dimensional sensing according to claim 4, characterized in that: The specific method for re-determining the scenario type is as follows: extract the illumination value corresponding to the real-time location coordinates of the joint sensing signal from the natural light intensity distribution map. If the extracted illumination value is lower than the preset first illumination threshold, the scenario type is determined to be a dark area dwelling scenario. If the extracted illumination value is higher than the preset first illumination threshold, the scenario type is determined to be a bright area dwelling scenario.

6. The energy-saving control method for a regional lighting system integrating multi-dimensional sensing according to claim 5, characterized in that: The specific process of generating lighting control instructions for the area lighting system based on the determined scenario type is as follows: When the determined scenario type is instantaneous traversal scenario, the forward path lights are activated sequentially at preset time intervals along the extension direction of the motion trajectory vector to form a light strip in the forward direction, and the brightness value of the rear path lights is reduced simultaneously to determine the reduction value of the brightness value of the rear path lights. When the determined scenario type is a dark zone dwell scenario, the real-time position coordinates in the joint sensing signal are used as the dwell point coordinates, and the lamps within a preset radius centered on the dwell point coordinates are lit. When the determined scenario type is a bright area dwell scenario, the real-time position in the joint sensing signal is used as the dwell point, and only the single lamp directly above the dwell point coordinates is activated to a lower brightness value.

7. The energy-saving control method for a regional lighting system integrating multi-dimensional perception according to claim 6, characterized in that: The specific steps for activating the forward path lights sequentially at preset time intervals include: Before activating each path light fixture, query the illumination value of that path light fixture's location in the natural light intensity distribution map; When the queried illumination value is lower than the preset second illumination threshold, the target brightness value of the lights on the path ahead is determined by combining the natural light intensity distribution map and the motion trajectory vector.

8. The energy-saving control method for a regional lighting system integrating multi-dimensional sensing according to claim 6, characterized in that: When the determined scenario type is a dark zone dwell scenario, using the real-time position coordinates in the joint sensing signal as the dwell point coordinates, illuminating the lamps within a preset radius centered on the dwell point coordinates further includes: After the lights within a preset radius are turned on, a delayed shutdown protection mechanism is activated; During the duration of the delayed shutdown protection mechanism, the lamp remains lit and minute motion signals with speed values ​​lower than the preset micro-motion speed threshold reported by the motion detection probe array are ignored.

9. The energy-saving control method for a regional lighting system integrating multi-dimensional perception according to claim 6, characterized in that: When the determined scenario type is a bright area dwelling scenario, taking the real-time location in the joint sensing signal as the dwelling point, and activating only a single lamp directly above the dwelling point coordinates to a lower brightness value, further includes: continuously monitoring the illumination value of the dwelling point coordinates in the natural light intensity distribution map, and when the illumination value is detected to drop by more than a preset drop ratio, automatically increasing the brightness value of the single lamp, and determining the brightness increase value of the single lamp.

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