Dynamic illumination regulation and control method, device, equipment, medium and product

Abstract

The embodiment of the invention provides a dynamic illumination regulation and control method and device, equipment, a medium and a product, and relates to the field of tunnel construction illumination control. And the passive response after the target arrives is converted into the active preparation before the target arrives, so that the time delay between the illumination response and the actual demand is eliminated. According to the pre-judgment type regulation and control mode, illumination regulation can be accurately matched with the target moving trend and scene requirements, real-time synchronization of illumination and target movement can be achieved even in tunnel construction scenes where personnel and vehicles move frequently and intersection is complex, the problem that in the prior art, regulation and control efficiency is low due to passive triggering is solved, and the control efficiency is improved. And the dynamic illumination regulation and control efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of tunnel construction lighting control, in particular to a dynamic lighting regulation method, device, equipment, medium and product. BACKGROUND

[0002] In the construction process of closed large-scale infrastructure such as tunnels and underground pipe galleries, lighting is a basic condition to ensure the operation. With the development of engineering to more complex geological conditions, the movement of personnel and vehicles and other target entities in the construction area presents a high degree of uncertainty. The traditional fixed or simply zoned lighting mode has been difficult to adapt to this real-time changing scene. Dynamic lighting regulation that can actively adjust according to real-time needs has become the key to ensuring safe and efficient operation.

[0003] In the prior art, infrared sensors or acoustic sensors are usually deployed in sections within the tunnel. When the sensors detect the movement signal of personnel or vehicles, the lighting lamps of the corresponding section are automatically turned on or brightened. After the target leaves for a period of time, the lamps are automatically turned off or dimmed.

[0004] However, the prior art has the problem of low efficiency of dynamic lighting regulation. The prior art can only start lighting adjustment after the target entity reaches the sensor monitoring range, resulting in a time delay between lighting response and actual demand. This hysteresis is particularly prominent in the tunnel construction scene where personnel and vehicles move frequently and complexly, making it difficult to achieve precise on-demand lighting. SUMMARY

[0005] The embodiments of the present application provide a dynamic lighting regulation method, device, equipment, medium and product to solve the problem of low efficiency of dynamic lighting regulation in the prior art.

[0006] In a first aspect, the embodiments of the present application provide a dynamic lighting regulation method, comprising:

[0007] Obtain a plurality of system configuration data and a plurality of label data; wherein the plurality of system configuration data is used to represent the UWB base station coordinates, lighting lamp distribution and tunnel segmentation rules in the tunnel, and the plurality of label data is a preset motion state sequence of a target entity in the tunnel within a first time period, and the end time of the first time period is not later than the current time;

[0008] Perform trajectory prediction according to the plurality of system configuration data and the plurality of label data to obtain a predicted driving trajectory; wherein the predicted driving trajectory is a motion state sequence of the target entity in a target area in the tunnel within a second time period, and the start time of the second time period is later than the current time;

[0009] determine a brightness requirement value and an emergency lighting mode of a target region according to the predicted driving trajectory, the tunnel segmentation rule and preset construction safety information, wherein the target region refers to a region passed by the target entity in the second time period, the brightness requirement value is used to represent a required brightness of the target region when the target entity passes through the target region, and the emergency lighting mode is used to represent a required lighting mode of the target region when the target entity passes through the target region and a preset dangerous event occurs in the target region;

[0010] adjust a lighting lamp of the target region according to the brightness requirement value and the emergency lighting mode, so that a lighting environment of the target region matches the brightness requirement value and the emergency lighting mode.

[0011] In a possible design, the trajectory prediction according to the plurality of system configuration data and the plurality of tag data to obtain the predicted driving trajectory comprises:

[0012] construct a tunnel digital model according to the plurality of system configuration data, wherein the tunnel digital model is used to represent a distribution of a plurality of preset devices in the tunnel, a segmentation rule of the tunnel and a dangerous region;

[0013] perform trajectory prediction according to the tunnel digital model and the plurality of tag data to obtain the predicted driving trajectory.

[0014] In a possible design, the determination of the brightness requirement value and the emergency lighting mode of the target region according to the predicted driving trajectory, the tunnel segmentation rule and the preset construction safety information comprises:

[0015] in response to the target entity being a person or a vehicle, determine the brightness requirement value and the emergency lighting mode of the target region according to the predicted driving trajectory, the tunnel segmentation rule and the construction safety information;

[0016] in response to the target entity being the person and the vehicle, determine a first brightness requirement value and a first emergency lighting mode of a target region according to a predicted person driving trajectory, the tunnel segmentation rule and the construction safety information, wherein the predicted driving trajectory comprises the predicted person driving trajectory, and the predicted person driving trajectory refers to a motion state sequence of the person in a target region in the tunnel in a second time period;

[0017] determine the first brightness requirement value as the brightness requirement value and determine the first emergency lighting mode as the emergency lighting mode.

[0018] In a possible design, the adjusting the lighting lamps of the target area according to the brightness requirement value and the emergency lighting mode, so as to make the lighting environment of the target area match the brightness requirement value and the emergency lighting mode, includes:

[0019] In response to the target area not having the dangerous event, adjusting the lighting lamps of the target area according to the brightness requirement value, so as to make the lighting environment of the target area match the brightness requirement value.

[0020] In response to the target area not having the dangerous event, adjusting the lighting lamps of the target area according to the brightness requirement value, so as to make the lighting environment of the target area match the brightness requirement value.

[0021] In a possible design, the adjusting the lighting lamps of the target area according to the brightness requirement value and the emergency lighting mode, so as to make the lighting environment of the target area match the brightness requirement value and the emergency lighting mode, includes:

[0022] obtaining a dangerous level of the dangerous event; wherein the dangerous level includes a first level and a second level, and the second level is higher than the first level;

[0023] In response to the dangerous level being the first level, controlling the lighting lamps of the target area to operate in a preset first mode; wherein the first mode includes maintaining a current brightness and flashing at a preset first frequency;

[0024] In response to the dangerous level being the second level, controlling the lighting lamps of the target area to operate in a preset second mode; wherein the second mode includes switching the lighting lamps to red light sources and flashing at a preset second frequency, and the second frequency is greater than the first frequency.

[0025] In a possible design, after the adjusting the lighting lamps of the target area according to the brightness requirement value and the emergency lighting mode, so as to make the lighting environment of the target area match the brightness requirement value and the emergency lighting mode, the method further includes:

[0026] obtaining a plurality of power parameters and position parameters of the lighting lamps;

[0027] performing fault detection according to the plurality of power parameters, to obtain a detection result; wherein the detection result includes an existing fault;

[0028] In response to the detection result indicating a fault, a fault alarm signal for the lighting fixture is generated based on the multiple power parameters and location parameters, and the fault alarm signal is sent to a preset maintenance terminal so that maintenance personnel can repair the lighting fixture.

[0029] Secondly, embodiments of this application provide a dynamic lighting control device, comprising:

[0030] The first acquisition module is used to acquire multiple system configuration data and multiple tag data; wherein, the multiple system configuration data is used to represent the coordinates of UWB base stations, the distribution of lighting fixtures and the tunnel segmentation rules in the tunnel, and the multiple tag data is a preset sequence of the movement state of a target entity in the tunnel in a first time period, the end time of the first time period is no later than the current time;

[0031] The prediction module is used to perform trajectory prediction based on the multiple system configuration data and the multiple tag data to obtain a predicted driving trajectory; wherein, the predicted driving trajectory is a sequence of the movement state of the target entity in the target area within the tunnel during a second time period, the start time of the second time period being later than the current time;

[0032] The determination module is used to determine the brightness requirement value and emergency lighting mode of the target area based on the predicted driving trajectory, the tunnel segmentation rules, and preset construction safety information; wherein, the target area refers to the area traversed by the target entity in the second time period, the brightness requirement value is used to represent the brightness required by the target area when the target entity passes through the target area, and the emergency lighting mode is used to represent the lighting mode required by the target area when the target entity passes through the target area and a preset dangerous event occurs in the target area;

[0033] An adjustment module is used to adjust the lighting fixtures in the target area according to the brightness requirement value and the emergency lighting mode, so that the lighting environment of the target area matches the brightness requirement value and the emergency lighting mode.

[0034] In one possible design, the prediction module includes:

[0035] A construction unit is used to construct a tunnel digital model based on the configuration data of the multiple systems; wherein, the tunnel digital model is used to represent the distribution of multiple preset devices in the tunnel, the segmentation rules of the tunnel, and the danger zones;

[0036] The prediction unit is used to predict the trajectory based on the tunnel digitization model and the multiple tag data to obtain the predicted driving trajectory.

[0037] In one possible design, the determining module includes:

[0038] The first determining unit is used to determine the brightness requirement value and emergency lighting mode of the target area based on the predicted driving trajectory, the tunnel segmentation rules and the construction safety information, in response to the target entity being a person or a vehicle.

[0039] The second determining unit is configured to, in response to the target entities being the personnel and the vehicle, determine a first brightness requirement value and a first emergency lighting mode for the target area based on the predicted personnel travel trajectory, the tunnel segmentation rules, and the construction safety information; wherein, the predicted travel trajectory includes the predicted personnel travel trajectory, which refers to the sequence of the personnel's movement state in the target area within the tunnel during a second time period;

[0040] The third determining unit is used to determine the first brightness requirement value as the brightness requirement value and to determine the first emergency lighting mode as the emergency lighting mode.

[0041] In one possible design, the adjustment module includes:

[0042] The first adjustment unit is configured to adjust the lighting fixtures in the target area according to the emergency lighting mode in response to the occurrence of the dangerous event in the target area, so as to make the lighting environment of the target area match the emergency lighting mode;

[0043] The second adjustment unit is used to adjust the lighting fixtures in the target area according to the brightness requirement value when the dangerous event does not occur in the target area, so that the lighting environment of the target area matches the brightness requirement value.

[0044] In one possible design, the first adjustment unit includes:

[0045] An acquisition component is used to acquire the hazard level of the hazardous event; wherein the hazard level includes a first level and a second level, and the second level is higher than the first level;

[0046] A first control component is configured to control the lighting fixtures in the target area to operate according to a preset first mode in response to the hazard level being the first level; wherein the first mode includes maintaining the current brightness and flashing at a preset first frequency;

[0047] A second control component is configured to control the lighting fixtures in the target area to operate in a preset second mode in response to the hazard level being the second level; wherein the second mode includes switching the lighting fixtures to a red light source and flashing at a preset second frequency, the second frequency being greater than the first frequency.

[0048] In one possible design, the dynamic lighting control device further includes:

[0049] The second acquisition module is used to acquire multiple electrical parameters and position parameters of the lighting fixture;

[0050] A fault detection module is used to perform fault detection based on the multiple power parameters and obtain detection results; wherein, the detection results include the presence of a fault;

[0051] The signal generation module is used to respond to the detection result indicating the presence of a fault, generate a fault alarm signal for the lighting fixture based on the multiple power parameters and location parameters, and send the fault alarm signal to a preset maintenance terminal so that maintenance personnel can repair the lighting fixture.

[0052] Thirdly, embodiments of this application provide an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0053] The memory stores computer-executed instructions;

[0054] When the processor executes the computer execution instructions stored in the memory, it is used to implement the dynamic lighting control method as described in any of the first aspects.

[0055] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the dynamic lighting control method as described in any of the first aspects.

[0056] Fifthly, embodiments of this application provide a computer program product, including a computer program, which, when executed by a processor, is used to implement the dynamic lighting control method as described in any of the first aspects.

[0057] This application provides a dynamic lighting control method, device, equipment, medium, and product. By acquiring tunnel system configuration information and continuous motion state data of the target entity, it proactively predicts the target's subsequent trajectory and lighting needs. This transforms lighting control from a passive response after the target arrives to proactive preparation before the target arrives, eliminating the time delay between lighting response and actual demand. This predictive control mode enables lighting adjustment to accurately match the target's movement trend and scene requirements. Even in tunnel construction scenarios with frequent personnel and vehicle movement and complex intersections, it achieves real-time synchronization between lighting and target movement, solving the problem of low control efficiency caused by passive triggering in existing technologies and improving the efficiency of dynamic lighting control. Attached Figure Description

[0058] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0059] Figure 1 This is a schematic diagram illustrating an application scenario of the dynamic lighting control method provided in the embodiments of this application;

[0060] Figure 2 A flowchart illustrating the dynamic lighting control method provided in this application embodiment. Figure 1 ;

[0061] Figure 3 A flowchart illustrating the dynamic lighting control method provided in this application embodiment. Figure 2 ;

[0062] Figure 4 A schematic diagram of the structure of a tunnel construction intelligent lighting system based on UWB positioning technology provided in this application embodiment;

[0063] Figure 5 This is a schematic diagram of the lighting subsystem structure provided in an embodiment of this application;

[0064] Figure 6 This is a schematic diagram of the UWB subsystem structure provided in the embodiments of this application;

[0065] Figure 7 A flowchart illustrating the implementation of a tunnel construction intelligent lighting system based on UWB positioning technology, provided in this application embodiment.

[0066] Figure 8 A schematic diagram illustrating the principle of tunnel vehicle and personnel positioning calculation based on UWB positioning technology provided in this application embodiment;

[0067] Figure 9 This is a schematic diagram of the structure of the dynamic lighting control device provided in the embodiments of this application;

[0068] Figure 10 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application.

[0069] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0070] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0071] In the embodiments of this application, the terms "first" and "second" are used to distinguish identical or similar items with substantially the same function and effect. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and that "first" and "second" do not necessarily imply difference. It should be noted that in the embodiments of this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner. In the embodiments of this application, "at least one" refers to one or more, and "more than one" refers to two or more.

[0072] It should be noted that the phrase "at...time" in the embodiments of this application can refer to the instant at which a certain situation occurs, or to a period of time after the occurrence of a certain situation. The embodiments of this application do not specifically limit this. In addition, the dynamic lighting control method, device, equipment, medium and product provided in the embodiments of this application are only examples. A dynamic lighting control method, device, equipment, medium and product may also include more or less content.

[0073] To facilitate a clear description of the technical solutions in the embodiments of this application, some terms and technologies involved in the embodiments of this application will be briefly introduced below:

[0074] Ultra-wideband (UWB) technology is a novel technology that enables wireless communication and positioning without relying on traditional carrier waves, by transmitting and receiving narrow pulse signals in the nanosecond to sub-nanosecond range. Its core definition is an absolute signal bandwidth greater than 500MHz or a relative bandwidth exceeding 20%. This technology boasts key advantages such as high positioning accuracy, strong resistance to multipath interference, excellent signal penetration through obstacles, low power consumption, and high spectrum utilization. It is widely applicable to high-precision positioning and short-range, high-speed data transmission in complex indoor and outdoor environments.

[0075] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the invention as detailed in the appended claims.

[0076] The technical solution of the present invention will be described in detail below with reference to specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of the present invention will now be described with reference to the accompanying drawings.

[0077] To clearly understand the technical solution of this application, the solutions of existing technologies will first be described in detail. The movement of personnel and vehicles and other target entities within the construction area is highly uncertain. Traditional fixed or simply zoned lighting modes are no longer suitable for this real-time changing scenario. Dynamic lighting control that can actively adjust according to real-time needs has become the key to ensuring safe and efficient operation.

[0078] In existing technologies, infrared or acoustic sensors are typically deployed in sections within the tunnel. When the sensors detect movement of people or vehicles, the corresponding lighting in that section is automatically turned on or brightened. After the target has moved away for a period of time, the lights automatically turn off or dim. However, existing technologies only initiate lighting adjustments after the target entity enters the sensor's monitoring range, resulting in a time delay between the lighting response and actual demand, making it difficult to achieve precise, on-demand lighting. Therefore, existing technologies suffer from low efficiency in dynamic lighting control.

[0079] Therefore, addressing the low efficiency of dynamic lighting control in existing technologies, this research found that to solve this problem, motion trajectory prediction can be performed by combining tunnel environment configuration information and historical motion data of target entities. This allows for proactive and precise control by adapting lighting requirements in advance: ① Based on tunnel environment configuration information and historical motion data of target entities, trajectory analysis and prediction algorithms can be used to predict the movement path and range of target entities in advance. Lighting parameters in the corresponding area can be proactively adjusted before the target arrives, transforming passive response control into proactive predictive control, thus improving the accuracy and efficiency of control. ② A digital model of the tunnel environment and lighting system can be established and integrated with real-time positioning data. The system continuously simulates the movement of people and vehicles in virtual space and extrapolates scene changes and lighting requirements for the next few seconds to tens of seconds. Based on the extrapolation results, the optimal lighting control strategy is pre-calculated and executed. ③ It can integrate multi-dimensional data such as environmental configuration, target movement, and safety requirements to build an integrated lighting control platform. By accurately mapping the correspondence between the target movement trajectory and the physical space of the tunnel, it can achieve fine control of individual lamps or local areas, avoiding the extensiveness of traditional segmented control. At the same time, it can improve the overall control efficiency by combining scene-based lighting rules.

[0080] Specifically, by integrating core data from multiple dimensions such as tunnel environment configuration, target entity movement status, and scene requirements, and leveraging intelligent prediction and multi-source information fusion technologies, an active lighting control mechanism can be constructed. This mechanism can predict lighting needs in advance and dynamically optimize control strategies, achieving precise adaptation of lighting supply to target movement and scene changes, thereby improving control efficiency and adaptability to complex scenes.

[0081] This application discloses a dynamic lighting control method, apparatus, device, medium, and product. By acquiring tunnel system configuration information and continuous motion state data of the target entity, it proactively predicts the target's subsequent trajectory and lighting needs. This transforms lighting control from a passive response after the target arrives to proactive preparation before the target's arrival, eliminating the time delay between lighting response and actual demand. This predictive control mode enables lighting adjustment to accurately match the target's movement trend and scene requirements. Even in tunnel construction scenarios with frequent personnel and vehicle movement and complex intersections, it achieves real-time synchronization between lighting and target movement, solving the problem of low control efficiency caused by passive triggering in existing technologies and improving the efficiency of dynamic lighting control.

[0082] Based on the above-mentioned inventive discovery, the technical solution of this application is proposed.

[0083] The following describes the application scenarios of the dynamic lighting control method provided in the embodiments of the present invention. Figure 1 This is a schematic diagram illustrating an application scenario of the dynamic lighting control method provided in this application embodiment. For example... Figure 1As shown, this application scenario includes a mobile terminal 101 and a server 102. The mobile terminal 101 collects multiple system configuration data and multiple tag data, and sends the multiple system configuration data and multiple tag data to the server 102. The server 102 performs trajectory prediction based on the multiple system configuration data and multiple tag data to obtain a predicted driving trajectory. Based on the predicted driving trajectory, tunnel segmentation rules, and preset construction safety information, the server 102 determines the brightness requirement value and emergency lighting mode of the target area. The server 102 adjusts the lighting fixtures in the target area according to the brightness requirement value and emergency lighting mode so that the lighting environment of the target area matches the brightness requirement value and emergency lighting mode.

[0084] The embodiments of the present invention will now be described with reference to the accompanying drawings.

[0085] Figure 2 A flowchart illustrating the dynamic lighting control method provided in this application embodiment. Figure 1 .like Figure 2 As shown, in this embodiment, the execution entity of this invention is a server. The dynamic lighting control method provided in this embodiment includes the following steps:

[0086] S201. Obtain multiple system configuration data and multiple tag data; wherein, the multiple system configuration data are used to represent the coordinates of UWB base stations, the distribution of lighting fixtures and the tunnel segmentation rules in the tunnel, and the multiple tag data are the preset sequence of the movement state of the target entity in the tunnel in the first time period, and the end time of the first time period is no later than the current time.

[0087] Specifically, multiple system configuration data can be obtained by retrieving pre-stored UWB base station deployment coordinates, lighting fixture installation distribution information, and tunnel segmentation rules within the tunnel. Through real-time communication between the UWB tag carried by the target entity and the UWB base station within the tunnel, continuous motion state data such as the target entity's position and speed are collected within the first time period to obtain multiple tag data. This step is used to provide accurate and complete input data for subsequent trajectory prediction based on system configuration data and tag data, ensuring that the predicted driving trajectory can match the actual tunnel environment and the historical motion state of the target entity.

[0088] Among them, multiple system configuration data are basic information used to characterize the tunnel environment and equipment deployment, including the coordinates of UWB base stations in the tunnel, the distribution of lighting fixtures and tunnel segmentation rules. They can also cover configuration information such as the distribution of preset equipment and dangerous areas in the tunnel required to build a digital model of the tunnel. Multiple tag data are the continuous motion state sequence of preset target entities (personnel or vehicles) in the tunnel in the first time period, including key motion information such as the real-time position, speed and direction of movement of the target entities.

[0089] S202. Based on multiple system configuration data and multiple tag data, trajectory prediction is performed to obtain the predicted driving trajectory; wherein, the predicted driving trajectory is the sequence of the target entity's movement state in the target area within the tunnel in the second time period, and the start time of the second time period is later than the current time.

[0090] Specifically, a tunnel spatial positioning benchmark can be established by combining the UWB base station coordinates in the system configuration data. The movement range constraints of the target entity can be clarified according to the tunnel segmentation rules. At the same time, the continuous position, movement direction, speed and other movement state information of the target entity in the first time period can be extracted from the tag data. The movement pattern of the target entity can be analyzed by the trajectory prediction algorithm. Combined with the tunnel spatial characteristics corresponding to the distribution of lighting fixtures, the movement state sequence of the target entity in the target area of ​​the tunnel in the second time period can be deduced, that is, the predicted driving trajectory. This step is used to clarify the tunnel area and movement state that the target entity will pass through next, and provide a direct and accurate reference for determining the brightness requirement value and emergency lighting mode of the target area.

[0091] S203. Based on the predicted driving trajectory, tunnel segmentation rules, and preset construction safety information, determine the brightness requirement value and emergency lighting mode of the target area; wherein, the target area refers to the area that the target entity passes through in the second time period, the brightness requirement value is used to represent the brightness required by the target area when the target entity passes through the target area, and the emergency lighting mode is used to represent the lighting mode required by the target area when the target entity passes through the target area and a preset dangerous event occurs in the target area.

[0092] Specifically, the tunnel area that the target entity will pass through in the second time period can be identified based on the predicted driving trajectory. The specific tunnel segments corresponding to this area can be divided according to the tunnel segmentation rules. By referring to the standard brightness parameters corresponding to different tunnel segments and different movement scenarios in the preset construction safety information, the required brightness value of each target segment can be determined. At the same time, based on the types of dangerous events and corresponding lighting requirements specified in the preset construction safety information, the emergency lighting mode that needs to be activated in the target area when such dangerous events occur can be determined. This step is used to provide clear brightness standards and mode basis for subsequent precise adjustment of the lighting fixtures in the target area, ensuring that the lighting adjustment can meet the movement needs of the target entity and the construction safety requirements.

[0093] S204. Adjust the lighting fixtures in the target area according to the brightness requirement and emergency lighting mode so that the lighting environment of the target area matches the brightness requirement and emergency lighting mode.

[0094] Specifically, based on the lighting fixture distribution information in the system configuration data, all lighting fixtures corresponding to the target area can be located, and brightness adjustment commands matching the brightness requirements can be sent to these fixtures to control their luminous intensity. When a preset hazardous event occurs in the target area, an emergency mode switching command is sent to the lighting fixtures in that area, causing them to switch to the preset emergency lighting mode. This step is used to precisely adjust the lighting status of the target area to a state corresponding to the brightness requirements and the emergency lighting mode, ensuring that the target entity can obtain a lighting environment that meets its needs when passing through the area in the second time period.

[0095] This system adjusts lighting fixtures in target areas based on brightness requirements and emergency lighting modes to match the lighting environment. It can be applied to construction and operation / maintenance scenarios in narrow, enclosed spaces such as tunnels and underground utility tunnels. Based on predictive information, it allows for precise brightness adjustment and mode switching of lighting fixtures in the target area. For example, it can pre-adjust road lights to the required brightness for the operation, or automatically activate a high-brightness warning lighting mode when the system anticipates a vehicle intersection risk. This solves the passive delay problem of traditional infrared or sound-based sensors that activate lights upon human arrival. Through predictive adjustment based on human arrival, it ensures that the lighting environment actively matches the movement trajectory and safety requirements of any target entity entering any area. This achieves real-time synchronization between lighting control and dynamic construction scenarios, improving work efficiency and enhancing safety.

[0096] This embodiment provides a dynamic lighting control method that, by acquiring tunnel system configuration information and continuous motion state data of the target entity, predicts the target's subsequent trajectory and lighting needs. This transforms lighting control from a passive response after the target arrives to an active preparation before the target arrives, eliminating the time delay between lighting response and actual needs. This predictive control mode enables lighting adjustment to accurately match the target's movement trend and scene requirements. Even in tunnel construction scenarios with frequent personnel and vehicle movement and complex intersections, real-time synchronization between lighting and target movement can be achieved, solving the problem of low control efficiency caused by passive triggering in existing technologies and improving the efficiency of dynamic lighting control.

[0097] In one possible design, S202, trajectory prediction is performed based on multiple system configuration data and multiple tag data to obtain a predicted driving trajectory, including:

[0098] S2021. Construct a digital model of the tunnel based on configuration data from multiple systems; the digital model of the tunnel is used to represent the distribution of multiple pre-set devices within the tunnel, the segmentation rules of the tunnel, and hazardous areas.

[0099] Specifically, equipment deployment information such as UWB base station coordinates and lighting fixture distribution locations can be extracted from system configuration data and converted into digital spatial coordinates. Combined with tunnel segmentation rules, the segment boundaries in the model are clarified. At the same time, the specific range and location information of preset hazardous areas are entered. The above data are integrated through 3D modeling or digital mapping to construct a digital tunnel model that can intuitively present the distribution of equipment, segmentation, and location of hazardous areas within the tunnel. This step is used to provide a digital carrier of the tunnel spatial environment and equipment distribution for subsequent trajectory prediction based on tag data, ensuring that the trajectory prediction process can fit the actual tunnel structure and equipment layout.

[0100] For example, in a tunnel construction scenario, multiple pre-set system configuration data can be retrieved first, and the coordinates of a UWB base station deployed every 50 meters along the tunnel axis can be extracted. Each base station corresponds to a fixed position 2 meters above the tunnel interior. At the same time, the distribution information of a lighting fixture placed every 5 meters along the tunnel interior can be collected. Then, according to the tunnel segmentation rule of dividing the tunnel into zones every 100 meters, the start and end mileage and boundary coordinates of each zone can be determined. Subsequently, the pre-set hazardous area information can be entered, such as the geologically unstable area at 200-250 meters of the tunnel mileage and the dense pipeline area at 300-320 meters, and the specific coordinate range of these areas can be marked. Finally, all equipment deployment information, segment boundary data, and hazardous area coordinates can be uniformly converted into digital data in a three-dimensional spatial coordinate system. Through modeling tools, the data can be integrated and mapped to construct a tunnel digital model that can clearly present the specific locations of UWB base stations and lighting fixtures, the clear division of each zone, and the precise range of hazardous areas.

[0101] S2022. Based on the tunnel digital model and multiple tag data, trajectory prediction is performed to obtain the predicted driving trajectory.

[0102] Specifically, key motion features of the target entity, such as continuous position, speed, and direction of movement, can be extracted from multiple tag data in the first time period to clarify its historical motion patterns. Then, using the digital tunnel model as a spatial reference benchmark, and combining spatial constraint information such as tunnel segment boundaries, equipment distribution locations, and hazardous areas in the model, the motion trend of the target entity is fitted and deduced through a trajectory prediction algorithm to obtain its motion state sequence in the target area of ​​the tunnel in the second time period, i.e., the predicted driving trajectory. This step is used to provide an accurate motion state reference for subsequently determining the brightness requirement value and emergency lighting mode of the target area based on the predicted driving trajectory, ensuring that subsequent lighting control can accurately match the actual movement path of the target entity.

[0103] For example, in a tunnel construction scenario, continuous position data for the first 25 seconds can be extracted from multiple tag data collected by the UWB tags carried by the construction worker. This data shows the worker gradually moving from 150 meters to 180 meters in the tunnel, maintaining a stable speed of 1.1 meters per second, and consistently moving towards the working face inside the tunnel. This identifies key movement characteristics such as the worker's uniform linear motion pattern. Then, using a pre-constructed digital tunnel model as a spatial reference, and combining this with spatial constraints such as the 100-200 meter segment boundaries, the 170-190 meter dense pipeline danger zone, and the UWB base stations deployed every 50 meters and lighting fixtures every 5 meters along the tunnel, a Kalman filter algorithm is used to fit and extrapolate the worker's movement trend. This yields a continuous motion sequence within the next 9 seconds, predicting the worker's trajectory as they continue moving towards the working face from 180 meters, passing through the danger zone edge at 190 meters, maintaining a speed of 1.0 to 1.2 meters per second, and finally reaching the 200-meter segment boundary.

[0104] The technical effect of this solution in this embodiment is that by constructing a digital tunnel model that integrates equipment layout, spatial rules, and hazardous area information, a virtual computing environment containing rich semantic information is provided for trajectory prediction. This model enables the system to map the target's raw motion data onto a tunnel structure with clear physical and business meanings, thereby supporting the generation of high-precision predicted trajectories that not only include geometric paths but also integrate scene constraints and risk predictions, laying the foundation for subsequent accurate lighting decisions.

[0105] In one possible design, S203, based on the predicted driving trajectory, tunnel segmentation rules, and pre-set construction safety information, determines the brightness requirement value and emergency lighting mode for the target area, including:

[0106] S2031. In response to the target entity being a person or vehicle, determine the brightness requirement value and emergency lighting mode of the target area based on the predicted driving trajectory, tunnel segmentation rules, and construction safety information.

[0107] Specifically, the process begins by identifying the tunnel sections the target entity will traverse in the second time period based on the predicted driving trajectory. This is then combined with tunnel segmentation rules to define the corresponding target areas. Next, standard brightness parameters corresponding to the target area and entity type are retrieved from pre-set construction safety information. Brightness parameters suitable for visual comfort and operational clarity are selected for personnel work scenarios, while those suitable for vehicle driving scenarios ensure visibility and distance judgment. Based on this, the required brightness value for the target area is determined. Simultaneously, lighting requirements corresponding to potential hazards in the target area are extracted from the construction safety information, clarifying the emergency lighting modes to be activated in personnel or vehicle scenarios. This step precisely matches the corresponding brightness standards and emergency lighting requirements for different types of target entities, providing a clear basis for subsequent lighting fixture adjustments that align with entity characteristics and scenario needs, ensuring that the lighting environment is compatible with the actual needs of personnel work and vehicle traffic.

[0108] The tunnel segmentation rules refer to relevant specifications to divide the construction tunnel into entrance, transition, intermediate, and working sections. They include the calculation basis for the length of each section and the rule of dividing the tunnel into lighting zones every 100 meters. The rules clarify the boundaries and ranges of different sections within the tunnel. The construction safety information includes standard brightness parameters for different tunnel sections and different movement scenarios, such as personnel operations or vehicle passage, preset hazardous events, such as collapses, hazardous gas alarms or water spraying, and corresponding lighting requirements. It also covers relevant information such as lighting adaptation criteria to ensure the safety of personnel and vehicles.

[0109] S2032. In response to the target entities being personnel and vehicles, the first brightness requirement value and the first emergency lighting mode for the target area are determined based on the predicted personnel travel trajectory, tunnel segmentation rules, and construction safety information; wherein, the predicted travel trajectory includes the predicted personnel travel trajectory, which refers to the sequence of movement states of personnel in the target area within the tunnel during the second time period.

[0110] Specifically, the process can begin by predicting personnel movement trajectories and, in conjunction with tunnel segmentation rules, defining the core areas where personnel will primarily be active in the second time period. This includes incorporating related areas where vehicles may pass, thus clarifying the target areas where personnel and vehicles coexist. From pre-set construction safety information, priority is given to extracting the necessary safety brightness parameters for personnel operations, such as minimum brightness standards and uniformity requirements to ensure visual clarity and operational safety. Combined with the basic visibility requirements for vehicle traffic, a primary brightness requirement value centered on personnel needs is determined. Simultaneously, emergency lighting requirements for scenarios where personnel and vehicles coexist are retrieved from the construction safety information, prioritizing personnel's evacuation visibility and obstacle avoidance identification needs in dangerous events. A primary emergency lighting mode that effectively highlights personnel safety passages and enhances personnel's hazard perception is identified. This step prioritizes personnel safety and operational needs in scenarios where personnel and vehicles coexist, determining core lighting standards and emergency plans suitable for this scenario. This provides a clear basis for subsequent lighting adjustments that align with the principle of prioritizing personnel, ensuring that the lighting environment meets both the core needs of personnel and the basic requirements for vehicle traffic.

[0111] S2033. The first brightness requirement value is determined as the brightness requirement value, and the first emergency lighting mode is determined as the emergency lighting mode.

[0112] Specifically, the primary brightness requirement value, determined with priority to personnel needs in scenarios where personnel and vehicles coexist, can be directly adopted as the final brightness requirement value for the target area. Similarly, the primary emergency lighting mode, which also prioritizes personnel safety, can be adopted as the final emergency lighting mode for the target area. No additional parameter adjustments or secondary judgment processes are required. This step is used to clarify the final standard for lighting control with personnel needs at its core in complex scenarios where personnel and vehicles coexist. This provides a clear and unified execution basis for the precise adjustment of subsequent lighting fixtures, ensuring that the lighting environment always prioritizes the core needs of personnel operation and safety, while also taking into account the basic requirements for vehicle passage.

[0113] The technical effect of this solution in this embodiment is that by introducing differentiated decision-making logic based on the type of target entity, the system can prioritize setting the final lighting parameters according to the lighting needs of personnel and emergency modes when facing complex scenarios with multiple targets converging. This mechanism ensures that in areas where personnel and vehicles coexist, the lighting environment prioritizes meeting the lighting needs of personnel, realizing intelligent allocation of lighting resources in multi-target collaborative scenarios and ensuring personnel safety in the construction environment.

[0114] In one possible design, S204, the lighting fixtures in the target area are adjusted according to the brightness requirement and emergency lighting mode to match the lighting environment of the target area with the brightness requirement and emergency lighting mode, including:

[0115] S2041. In response to a dangerous event in the target area, the lighting fixtures in the target area are adjusted according to the emergency lighting mode so that the lighting environment of the target area matches the emergency lighting mode.

[0116] Specifically, the system can acquire the trigger signal of a dangerous event in the target area through a preset dangerous event monitoring device. Combined with the lighting fixture distribution information in the system configuration data, it can accurately locate all lighting fixtures in the target area and send emergency lighting mode switching instructions to these fixtures. For example, it can adjust the fixtures to a preset high brightness state to improve on-site visibility, control the fixtures to flash at a specific frequency to warn of danger, and light up the safety passage directional lighting to indicate the evacuation direction. This ensures that the lighting status of the fixtures fully matches the requirements of the emergency lighting mode. This step is used to provide a lighting environment that meets the needs of emergency response when a dangerous event occurs in the target area, ensuring the clarity of vision and directional identification of personnel evacuation and emergency rescue operations, and meeting the special lighting requirements in dangerous event scenarios.

[0117] S2042. In response to the absence of a dangerous event in the target area, the lighting fixtures in the target area are adjusted according to the brightness requirement value so that the lighting environment of the target area matches the brightness requirement value.

[0118] Specifically, based on the lighting fixture distribution information in the system configuration data, all lighting fixtures within the target area can be identified. Then, the corresponding fixture adjustment parameters, such as luminous power and current, are calculated based on the brightness requirement. Precise brightness adjustment commands are sent to these fixtures. Simultaneously, the brightness of the corresponding fixtures is dynamically adjusted according to the real-time location changes of the target entity, ensuring that the lighting intensity at each location within the target area uniformly matches the brightness requirement. This step is used in conventional construction scenarios where no dangerous events occur in the target area to provide a suitable lighting environment for personnel operations and vehicle passage, ensuring clarity of construction operations and sufficient visibility for passage, and avoiding over-lighting in non-operational areas or insufficient lighting in operation areas.

[0119] The technical effect of this solution in this embodiment is that by establishing clear decision branches for routine needs and emergency responses, the lighting system possesses the ability to adapt to changing conditions. When a dangerous event occurs in the target area, the system can immediately interrupt the routine lighting process and switch to a preset emergency lighting mode, thereby transforming the lighting function from basic protection to a proactive safety warning and guidance tool. This mechanism ensures that in the event of a sudden emergency, the lighting system can quickly provide the highest priority visual warning, enhancing the overall safety and emergency response capabilities of the tunnel construction environment.

[0120] In one possible design, S2041, in response to a hazardous event occurring in the target area, the lighting fixtures in the target area are adjusted according to the emergency lighting mode to match the lighting environment of the target area with the emergency lighting mode, including:

[0121] S20411. Obtain the hazard level of a hazardous event; wherein, the hazard level includes a first level and a second level, with the second level being higher than the first level.

[0122] Specifically, hazardous event monitoring devices deployed inside the tunnel, such as displacement sensors, gas sensors, and video surveillance equipment, can collect specific information about hazardous events, including the scope of impact, development speed, and degree of damage to the construction environment. This information is then compared with preset hazard level judgment standards. For example, events with a small impact range and no direct threat to personnel safety correspond to Level 1, while events with a large impact range that may endanger personnel safety or obstruct emergency passages correspond to Level 2. This process clarifies the hazard level of the hazardous event and provides a clear basis for selecting the corresponding emergency lighting mode based on different hazard levels, ensuring that emergency lighting adjustments are appropriate for the actual severity of the hazardous event.

[0123] S20412. In response to a hazard level of Level 1, the lighting fixtures in the target area are controlled to operate in a preset first mode; wherein the first mode includes maintaining the current brightness and flashing at a preset first frequency.

[0124] Specifically, based on the lighting fixture distribution information in the system configuration data, all lighting fixtures within the target area can be accurately located. Control commands containing the current brightness parameters and a preset first frequency are sent to these fixtures, and the flashing function of the fixtures is activated simultaneously. This ensures that all lighting fixtures in the target area operate according to the preset rule of maintaining the current brightness + flashing at the first frequency, strictly matching the requirements of the first mode. This step is used to convey danger warning information to on-site personnel in scenarios with a danger level of first level, while ensuring basic lighting visibility on-site, so that personnel can promptly detect danger and take evasive measures.

[0125] The current brightness refers to the real-time lighting brightness that the system has maintained stably in the target area after adjusting the lighting based on the brightness requirements determined by the system according to the predicted driving trajectory, tunnel segmentation rules, and preset construction safety information before the first-level dangerous event is triggered in the target area. This brightness is the lighting brightness that the system has adapted in advance for the scene that the target entity is about to pass through, and it has met the visual requirements and safety standards of the area under normal working conditions. When the first-level dangerous event occurs, maintaining this brightness can avoid the visual adaptation and operational judgment of on-site personnel or vehicles due to sudden changes in brightness. The warning signal is transmitted only by flashing at a preset first frequency, so as to achieve the warning without interfering with normal operation or passage.

[0126] S20413. In response to a hazard level of Level 2, the lighting fixtures in the target area are controlled to operate in a preset second mode; wherein the second mode includes switching the lighting fixtures to a red light source and flashing at a preset second frequency, the second frequency being greater than the first frequency.

[0127] Specifically, based on the lighting fixture distribution information in the system configuration data, all lighting fixtures in the target area can be located first, and a control signal containing a light source switching command and a preset second frequency can be sent to them. The command will switch the light fixture to red and flash at a second frequency greater than the first frequency. The operating status of the lighting fixtures will be checked in real time to ensure that they fully comply with the settings of the second mode. This step is used to convey a danger warning signal to the personnel on site in a scenario with a danger level of level two. At the same time, the red light source and high-frequency flashing will enhance the danger identification and provide clear visual guidance for the rapid evacuation and emergency response of personnel.

[0128] The technical effect of this solution in this embodiment is that by classifying hazardous events into levels and matching different light signal patterns to different levels, it achieves precise and hierarchical communication of emergency warning information. Low-level events trigger flashing to attract attention, while high-level events drive high-frequency red flashing to convey urgent danger. This hierarchical visual coding enables construction personnel to quickly and intuitively identify the degree of danger, thereby taking appropriate emergency measures and improving the information transmission efficiency and personnel response accuracy of emergency lighting in complex construction environments.

[0129] Figure 3 A flowchart illustrating the dynamic lighting control method provided in this application embodiment. Figure 2 In this embodiment, in Figure 4 Based on the provided embodiments, the dynamic lighting control method is further explained. The dynamic lighting control method includes:

[0130] S301. Obtain multiple system configuration data and multiple tag data; wherein, the multiple system configuration data are used to represent the coordinates of UWB base stations, the distribution of lighting fixtures and the tunnel segmentation rules in the tunnel, and the multiple tag data are the preset sequence of the movement state of the target entity in the tunnel in the first time period, and the end time of the first time period is no later than the current time.

[0131] S302. Based on multiple system configuration data and multiple tag data, trajectory prediction is performed to obtain the predicted driving trajectory; wherein, the predicted driving trajectory is the sequence of the target entity's movement state in the target area within the tunnel in the second time period, and the start time of the second time period is later than the current time.

[0132] S303. Based on the predicted driving trajectory, tunnel segmentation rules, and preset construction safety information, determine the brightness requirement value and emergency lighting mode of the target area; wherein, the target area refers to the area that the target entity passes through in the second time period, the brightness requirement value is used to represent the brightness required by the target area when the target entity passes through the target area, and the emergency lighting mode is used to represent the lighting mode required by the target area when the target entity passes through the target area and a preset dangerous event occurs in the target area.

[0133] S304. Adjust the lighting fixtures in the target area according to the brightness requirement and emergency lighting mode so that the lighting environment of the target area matches the brightness requirement and emergency lighting mode.

[0134] S301-S304 are similar to S201-S204, and will not be described again in this embodiment.

[0135] S305. Obtain multiple electrical and positional parameters of the lighting fixtures.

[0136] Specifically, multiple electrical parameters such as voltage, current, and power can be collected in real time through the power sensing module built into the lighting fixture. The location coordinates information recorded during the installation of the lighting fixture can be retrieved from the system's preset configuration database as location parameters, or real-time location data can be obtained through the positioning module on the lighting fixture. The collected electrical parameters and the obtained location parameters are correlated and integrated to form a complete parameter set for the corresponding lighting fixture. This step is used to provide basic data support for subsequent fault detection based on electrical parameters and for generating alarm signals based on location parameters when a fault occurs.

[0137] S306. Fault detection is performed based on multiple power parameters to obtain detection results; among which, the detection results include the existence of a fault.

[0138] Specifically, a reasonable range for electrical parameters such as voltage, current, and power of the lighting fixtures under normal operating conditions can be preset first. The collected electrical parameters are then compared one by one with the corresponding preset ranges. If any electrical parameter exceeds the preset reasonable range, the detection result is determined to be faulty. If all electrical parameters are within the preset reasonable range, the detection result is determined to be fault-free, thus obtaining a complete detection result. This step is used to quickly identify whether the working status of the lighting fixtures is abnormal, providing a clear basis for subsequent fault response, alarm signal generation, and maintenance and repair arrangements, ensuring the stable operation of the tunnel lighting system.

[0139] S307. In response to the detection result indicating a fault, a fault alarm signal for the lighting fixture is generated based on multiple power parameters and location parameters, and the fault alarm signal is sent to a preset maintenance terminal so that maintenance personnel can repair the lighting fixture.

[0140] Specifically, the detected abnormal power parameters can be correlated and integrated with the corresponding lighting fixture location parameters, clearly marking the identity of the faulty fixture, the type of abnormal parameter, and its specific location. A fault alarm signal containing the above complete information is generated and sent to the designated maintenance terminal through a preset communication link, such as a wireless transmission module or a wired network. This ensures that maintenance personnel can intuitively obtain key information related to the fault. This step is used to quickly synchronize the fault status and specific location of the lighting fixtures with maintenance personnel, providing support for maintenance personnel to accurately locate faulty fixtures and carry out maintenance work efficiently, thus ensuring the continuous and stable operation of the tunnel lighting system.

[0141] The technical effect of this solution in this embodiment is that by combining real-time power parameter monitoring with precise fault location, the lighting system is endowed with fault detection capabilities. It can not only detect faults immediately when they occur, but also automatically associate the physical location of the faulty lamps and generate alarm signals containing specific location information. This transforms the traditional passive and inefficient manual inspection mode into an active and precise remote diagnosis and alarm mode, shortening the fault diagnosis and maintenance response time and improving the maintainability and overall operational reliability of the lighting system.

[0142] Figure 4 A schematic diagram of the intelligent lighting system for tunnel construction based on UWB positioning technology provided in this application embodiment is shown below. Figure 5 As shown, it mainly includes the following subsystems: lighting subsystem, UWB positioning subsystem, and central control subsystem. These subsystems are described in detail below:

[0143] The lighting subsystem mainly includes a power distribution box, lighting controllers, and luminaires, providing basic lighting hardware for the tunnel intelligent lighting system. Figure 5 This is a schematic diagram of the lighting subsystem structure provided in an embodiment of this application, such as... Figure 6 As shown, the lighting subsystem includes a main lighting distribution box, n lighting zone distribution control boxes, general controllable lighting fixtures, emergency controllable lighting fixtures, and hazard warning lights. The main lighting distribution box is located at the tunnel entrance and contains a main lighting circuit breaker. An 18W general controllable lighting fixture is placed every 5 meters along the inner side of the tunnel, and an emergency controllable lighting fixture is placed every 50 meters. Each lighting zone distribution control box controls the controllable lighting fixtures and hazard warning lights within a 100-meter range and is positioned at the midpoint of the 100-meter range. Each lighting zone distribution control box is equipped with a cascaded circuit breaker, a low-voltage circuit breaker for the zone, and a lighting controller. The cascaded circuit breaker controls the power supply to the next-level lighting zone distribution control box, the low-voltage circuit breaker for the zone controls the power supply to the lighting fixtures and lighting controllers within the zone, and the lighting controller executes the lighting control commands output from the central control system.

[0144] UWB positioning systems consist of UWB base stations and UWB tags.Figure 6 This is a schematic diagram of the UWB subsystem structure provided in the embodiments of this application, such as... Figure 7 As shown, the deployment of UWB base stations primarily considers signal quality and ease of measurement. UWB base stations are placed at tunnel entrances and sharp turns, while the remaining UWB base stations are uniformly located above the lighting zone power distribution control boxes along the tunnel. Personnel and vehicles are equipped with UWB tags. The UWB base stations communicate with these tags by transmitting and receiving UWB signals, and then transmit the tag and base station location data to the central control subsystem via the network.

[0145] The central control subsystem mainly consists of a central control computer and several data acquisition substations. The central control computer is responsible for collecting and processing positioning data sent by UWB base stations, acquiring safety data from the construction site, calculating lighting requirements, setting priority rules, and ultimately outputting lighting control commands to the lighting controllers in the lighting zone distribution control boxes. The lighting controllers dynamically adjust the brightness and on / off status of the lights in the corresponding areas based on the received commands, saving energy while meeting traffic needs and better responding to emergencies. The data acquisition substations are responsible for collecting the switch status of cascaded circuit breakers in the distribution boxes, the switch status of low-voltage circuit breakers in the lighting distribution boxes, the voltage and current parameters of the lighting circuits, and the on / off status of the lighting circuits, and sending this data to the central control computer for real-time fault location and alarm.

[0146] Figure 7 The flowchart illustrating the control implementation of the intelligent lighting system for tunnel construction based on UWB positioning technology provided in this application embodiment is as follows: Figure 8 As shown, the process mainly includes several modules: initial parameter input, tunnel segment length calculation, priority rule setting, personnel and vehicle positioning data processing, positioning and lighting demand mapping, equipment safety data acquisition and processing, lighting control output, and real-time fault location alarm. Each module will be described in detail below:

[0147] 1. Initial Parameter Input: This module is used to input the necessary initial parameters required for the intelligent lighting system, including the UWB base station number and location coordinates, the lighting zone power distribution control box number and location coordinates, lighting fixture type settings, lighting fixture number and location coordinates, tunnel parameter input, and lighting controller loop settings. Through the input of these initial parameters, the intelligent lighting system achieves digital twinning. The system can display the location and status of each lighting fixture and power distribution control box in the tunnel, and can also input coordinates for hazardous clearance areas to form electronic boundaries for those areas.

[0148] 2. Tunnel Segment Length Calculation: Considering visual adaptation in tunnels, the brightness requirements of people or vehicles entering and inside the tunnel are completely different. Referring to the "Detailed Rules for Lighting Design of Highway Tunnels," the construction tunnel is divided into entrance section, transition section, intermediate section, and work section. Furthermore, the "Technical Specifications for Safety in Highway Engineering Construction" stipulates that the speed limit for vehicles inside tunnels is generally 10 km / h. The lengths of each segment are calculated as follows.

[0149] (1) Entry segment: It is divided into two segments, TH1 and TH2. The length of the segment is calculated as shown in formula (1). Formula (1) is:

[0150]

[0151] in, The length of the entrance segment TH1, The length of the entrance segment TH2, To improve visibility when parking, The tunnel clearance height Here, 1.5m is the driver's line of sight. Taking into account the driver's reaction time, the coefficient of friction of the locomotive track, and the speed limit of the locomotive, the calculation is as shown in formula (2). Formula (2) is:

[0152]

[0153] in, The maximum speed of the locomotive is 10 in this application. , Both represent the maximum speed of a locomotive, but the unit is m / s. The reaction time for locomotive drivers is set to 3 seconds in this application, taking fatigue into account. The acceleration due to gravity is 9.8. , The friction coefficient is taken as 0.25. The calculated value is 10m, but considering safety redundancy, it is defined as 15m in this application. Minimum length of the illuminated road surface behind the obstacle for illuminated parking. The calculation is shown in formula (3), which is:

[0154]

[0155] The front of the locomotive must be kept brightly lit for a certain length. The calculation is shown in formula (4), which is:

[0156]

[0157] (2) Transition segment: It is divided into three segments: TR1, TR2, and TR3. The length of the segment is calculated as shown in formula (5). Formula (5) is:

[0158]

[0159] in, The length of transition segment TR1, The length of transition segment TR2, This is the length of the transition segment TR3.

[0160] (3) Middle section: The middle section ZJ is the distance between the end of the transition section TR3 and the starting point of the ZY work section.

[0161] (4) Working section: The working section ZY is the distance between the end point of the intermediate section ZJ and the construction working surface.

[0162] 3. Priority Rules: When personnel and vehicles are simultaneously present in the same area, considering personnel's sensitivity to light, the lighting brightness should be adjusted according to their needs to provide a comfortable and safe lighting environment, such as reducing brightness to 50% to avoid glare. If the lighting fixtures are affected by two personnel or two vehicles simultaneously, the higher brightness setting will be prioritized. In cases of hazardous construction situations, the lighting rules for hazardous situations will be followed, with the highest priority.

[0163] 4. Personnel and Vehicle Positioning Data Processing: First, the distance between the tag and the base station is calculated based on the UWB ranging principle. This calculation is based on a timestamp-based method: the base station calculates the distance between the tag and the base station based on its timestamp. The pulse signal that initiates a communication request at the specified time, the tag is on its own It constantly receives pulse signals from the base station, and then the tag... At any given time, a response signal is sent, which is recorded by the base station at its own timestamp. By receiving signals in real time, the flight time of the pulse signal between the base station and the tag can be calculated, thereby determining the distance between the tag and the base station. The calculation is shown in formula (6), which is:

[0164]

[0165] in, At the speed of light, This refers to the distance between the tag and the base station.

[0166] Secondly, the tag coordinates are calculated based on the distance. Considering that the same tag may communicate with more than two base stations at the same time, the two closest base stations are selected for tag coordinate calculation before calculating the tag coordinates by sorting by distance. Figure 8 A schematic diagram illustrating the principle of tunnel vehicle and personnel positioning calculation based on UWB positioning technology provided in this application embodiment is shown below. Figure 9 As shown in the figure, B represents the position of a person or vehicle, and its coordinates are... A1 and A2 represent the two nearest adjacent UWB base stations along the tunnel to point B, with coordinates as follows: , , This represents the distance between base station A1 and base station B. This represents the distance between base station A2 and base station B. This indicates the distance between base station A1 and base station A2. This represents the angle between lines A1B and A1A2. This represents the angle between lines A2B and A1A2.

[0167] The sum is calculated according to the Law of Cosines, as shown in formula (7). Formula (7) is:

[0168]

[0169] Based on the coordinates of points A1 and A2, and and Calculate the coordinates of point B, as shown in formula (8). Formula (8) is:

[0170]

[0171] in, These are the coordinates of the target entity, used to characterize its spatial position within the tunnel. The central control computer combines the location information from multiple time points of personnel and vehicle tags to determine the target's speed, direction, and trajectory. Simultaneously, if personnel enter the restricted or hazardous area, the corresponding warning lights will be triggered.

[0172] 5. Location and lighting requirement mapping:

[0173] (1) Entrance section: In order to make the brightness of the entrance section decrease gently and linearly as the tunnel goes deeper, the brightness requirement is calculated as shown in formula (9). Formula (9) is:

[0174]

[0175] in, Using the current coordinates, with the tunnel entrance as the origin and the tunnel axis pointing inwards as positive, The starting brightness of the TH1 entry segment. The brightness at the end of the TH1 entry segment. The brightness at the end of the TH2 entrance segment. This is the brightness reduction factor for the entrance section, which is set to 0.01 here. The brightness outside the entrance section of the tunnel is obtained in this application by installing a light sensor. This indicates the brightness requirement value in the TH1 section at the entrance. This indicates the brightness requirement value in the TH2 section at the entrance.

[0176] (2) The brightness requirement of the transition section is calculated as shown in formula (10), which is:

[0177]

[0178] in, Using the current coordinates, with the tunnel entrance as the origin and the tunnel axis pointing inwards as positive, The starting brightness of the transition segment TR1, The brightness at the end of the transition segment TR1, The brightness at the end of the transition segment TR2, The brightness at the end of the transition segment TR3. This indicates the brightness requirement value in the transition section TR1. This indicates the brightness requirement value in the transition section TR2. This indicates the brightness requirement value in the transition section TR3.

[0179] (3) Middle section: No natural light interference, only the basic viewing distance requirement needs to be matched. The brightness requirement of the ZJ section is calculated as shown in formula (11). Formula (11) is:

[0180]

[0181] in, The brightness requirement value for the middle section ZJ is set differently for the middle section between people and vehicles based on the tag information. When the tag is for a person, the brightness requirement value is [value missing]. When the label is "vehicle", the required brightness value is [value missing]. .

[0182] (4) Work Section: Considering the safety of the workers, the lighting in this section must always be bright. The brightness requirement is calculated as shown in formula (12). Formula (12) is:

[0183]

[0184] in, and This is the required brightness value for the ZY section of the tunnel. The specific value can be set by the system according to the tunnel conditions.

[0185] 6. Equipment Safety Data Acquisition and Processing: This module can automatically or manually communicate hazardous situations at the work face to the central control system of the intelligent lighting system via the controller on the tunnel construction equipment. By classifying hazardous situations and selecting certain lights, different switching frequencies are set to provide full-tunnel warnings for hazardous situations, ensuring greater safety for tunnel construction and personnel. In this application, hazardous situations include hazardous gas alarms at the work face, collapses at the work face, and water spraying at the work face. Emergency controllable lights are then selected and their switching frequencies are set differently. In this application, a collapse at the work face is set to turn on and off in 2 seconds; a hazardous gas alarm at the work face is set to turn on and off in 4 seconds; and a water spraying alarm at the work face is set to turn on and off in 6 seconds. Construction personnel can judge the danger based on the switching frequencies and take corresponding emergency measures.

[0186] 7. Lighting Control Output: Based on the target's speed and direction of movement, the central control computer predicts the area it will reach in the near future (set to 5 seconds in this application). Then, the central control computer sends adjustment commands to the lighting controller based on the brightness requirements of the area, controlling the brightness of the corresponding lighting fixtures or controlling their on / off states. When the target leaves an area, to avoid frequent switching of the lights, a delay time is set before turning them off; in this application, the delay time is set to 10 seconds.

[0187] 8. Real-time fault location and alarm: The lighting controller collects the voltage, current, active power, total active energy, power factor, frequency, cascade circuit breaker status of the lighting distribution box, and low-voltage circuit breaker status of the lighting distribution box area lighting circuit breaker for each lighting circuit. It then diagnoses and locates the faulty lighting circuit and immediately outputs the faulty circuit number, the lighting fixture number and location of the faulty circuit.

[0188] This application achieves early lighting through trajectory prediction, overcoming the lag inherent in existing technologies and improving the timeliness and safety of lighting. It overcomes the limitations of false triggering by infrared / sound-controlled sensors and the vehicle-only detection capabilities of loop coils, accurately determining the positions of personnel and vehicles and reducing lighting control errors caused by sensor misjudgments. This application differentiates between the needs of personnel and vehicles, avoiding a one-size-fits-all approach to lighting. It adjusts lighting in different areas according to the varying needs of personnel and vehicles, achieving a rational allocation of lighting resources that satisfies both personnel comfort and vehicle safety. In emergency situations, this application can quickly determine the location of personnel based on positioning data and automatically activate the corresponding lighting fixtures, facilitating rescue operations and improving the safety of tunnel construction. This application can pinpoint specific faulty lighting fixtures and wiring, enabling maintenance personnel to quickly locate them.

[0189] This application proposes a tunnel lighting control method based on UWB positioning. This method can dynamically adjust the lighting brightness based on the location coordinates, speed, and other data of personnel and vehicles obtained by UWB positioning, as well as the brightness requirements of various tunnel sections, to achieve on-demand lighting. The proposed multi-objective priority rule clarifies the lighting control priority in situations such as personnel and vehicle intersections, personnel-to-personnel intersections, vehicle-to-vehicle intersections, and hazardous construction conditions. This priority control logic ensures the safety of construction personnel and vehicles.

[0190] Figure 9 This is a schematic diagram of the dynamic lighting control device provided in an embodiment of this application. Figure 2 As shown, the dynamic lighting control device includes:

[0191] The first acquisition module 901 is used to acquire multiple system configuration data and multiple tag data. The multiple system configuration data are used to represent the coordinates of UWB base stations, the distribution of lighting fixtures and the tunnel segmentation rules in the tunnel. The multiple tag data are a preset sequence of the movement status of target entities in the tunnel in a first time period. The end time of the first time period is no later than the current time.

[0192] The prediction module 902 is used to predict the trajectory based on multiple system configuration data and multiple tag data to obtain the predicted driving trajectory. The predicted driving trajectory is the sequence of the target entity's motion state in the target area within the tunnel during a second time period, the start time of which is later than the current time.

[0193] The determination module 903 is used to determine the brightness requirement value and emergency lighting mode of the target area based on the predicted driving trajectory, tunnel segmentation rules and preset construction safety information. The target area refers to the area that the target entity passes through in the second time period. The brightness requirement value is used to represent the brightness required by the target area when the target entity passes through the target area. The emergency lighting mode is used to represent the lighting mode required by the target area when the target entity passes through the target area and a preset dangerous event occurs in the target area.

[0194] The adjustment module 904 is used to adjust the lighting fixtures in the target area according to the brightness requirement value and the emergency lighting mode, so that the lighting environment of the target area matches the brightness requirement value and the emergency lighting mode.

[0195] In one possible design, the prediction module 902 includes:

[0196] The construction unit is used to build a digital model of the tunnel based on configuration data from multiple systems. The digital model of the tunnel is used to represent the distribution of multiple pre-set devices in the tunnel, the segmentation rules of the tunnel, and the dangerous areas.

[0197] The prediction unit is used to predict the trajectory based on the tunnel digital model and multiple tag data to obtain the predicted driving trajectory.

[0198] In one possible design, module 903 is defined as including:

[0199] The first determining unit is used to determine the brightness requirement value and emergency lighting mode of the target area in response to the target entity being a person or a vehicle, based on the predicted driving trajectory, tunnel segmentation rules, and construction safety information.

[0200] The second determining unit is used to determine the first brightness requirement value and the first emergency lighting mode of the target area in response to the target entities being personnel and vehicles, based on the predicted personnel travel trajectory, tunnel segmentation rules and construction safety information; wherein, the predicted travel trajectory includes the predicted personnel travel trajectory, which refers to the sequence of movement states of personnel in the target area within the tunnel during the second time period.

[0201] The third determining unit is used to determine the first brightness requirement value as the brightness requirement value and the first emergency lighting mode as the emergency lighting mode.

[0202] In one possible design, the adjustment module 904 includes:

[0203] The first adjustment unit is used to adjust the lighting fixtures in the target area according to the emergency lighting mode in response to a dangerous event in the target area, so that the lighting environment of the target area matches the emergency lighting mode.

[0204] The second adjustment unit is used to adjust the lighting fixtures in the target area according to the brightness requirement value when no dangerous event occurs in the target area, so that the lighting environment of the target area matches the brightness requirement value.

[0205] In one possible design, the first adjustment unit includes:

[0206] The acquisition component is used to acquire the hazard level of a hazardous event; the hazard level includes a first level and a second level, with the second level being higher than the first level.

[0207] A first control component is configured to control the lighting fixtures in the target area to operate in a preset first mode in response to a hazard level of Level 1; wherein the first mode includes maintaining the current brightness and flashing at a preset first frequency.

[0208] The second control component is used to control the lighting fixtures in the target area to operate in a preset second mode in response to a hazard level of the second level; wherein the second mode includes switching the lighting fixtures to a red light source and flashing at a preset second frequency, the second frequency being greater than the first frequency.

[0209] In one possible design, the dynamic lighting control device also includes:

[0210] The second acquisition module is used to acquire multiple electrical parameters and position parameters of the lighting fixture.

[0211] The fault detection module is used to detect faults based on multiple power parameters and obtain detection results; among which, the detection results include the presence of a fault.

[0212] The signal generation module is used to generate a fault alarm signal for the lighting fixtures based on multiple power parameters and location parameters in response to the detection result indicating a fault. The fault alarm signal is then sent to a preset maintenance terminal so that maintenance personnel can repair the lighting fixtures.

[0213] The dynamic lighting control device provided in this embodiment can perform... Figure 3 and Figure 2 The technical solution of the embodiment of the dynamic lighting control method shown herein, its implementation principle and technical effect are similar to Figure 3 and Figure 10 The embodiments of the dynamic lighting control method shown are similar and will not be described in detail here.

[0214] Figure 10 This is a schematic diagram of the hardware structure of the electronic device provided in an embodiment of this application. ​ As shown, the electronic device 100 includes at least one processor 1001 and a memory 1002. The electronic device 100 also includes a communication component 1003. The processor 1001, the memory 1002, and the communication component 1003 are connected via a bus 1004.

[0215] In the specific implementation process, at least one processor 1001 executes computer execution instructions stored in memory 1002, so that at least one processor 1001 is used to implement a dynamic lighting control method of the above embodiment.

[0216] The specific implementation process of processor 1001 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0217] In the above embodiments, it should be understood that the processor 1001 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0218] The memory 1002 may include high-speed RAM memory, and may also include non-volatile memory (NVM), such as at least one disk storage.

[0219] Bus 1004 can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Bus 1004 can be divided into address bus, data bus, control bus, etc. For ease of illustration, bus 1004 in the accompanying drawings of this application is not limited to only one bus or one type of bus.

[0220] The above description of the functions implemented by electronic devices and main control devices has introduced the solutions provided by the embodiments of the present invention. It is understood that, in order to implement the above functions, the electronic device or main control device includes hardware structures and / or software modules corresponding to the execution of each function. By combining the units and algorithm steps of the various examples described in the embodiments of the present invention, the embodiments of the present invention can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed by hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the technical solutions of the embodiments of the present invention.

[0221] This application also provides a computer-readable storage medium storing computer-executable instructions. When executed by a processor, these instructions are used to implement a dynamic lighting control method as described in the above embodiments. In a specific implementation of the aforementioned dynamic lighting control method, each module can be implemented as a processor.

[0222] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0223] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in application-specific integrated circuits (ASICs). Alternatively, the processor and the readable storage medium can exist as discrete components in an electronic device or a host device.

[0224] This application also provides a computer program product, including a computer program, which, when executed by a processor, is used to implement a dynamic lighting control method as described in the above embodiments.

[0225] The computer program is stored in a readable storage medium, and at least one processor can read the computer program from the readable storage medium and execute the computer program to perform the scheme provided in any of the above embodiments.

[0226] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disk, or optical disk.

[0227] The technical solutions of this application have been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it is readily understood by those skilled in the art that the scope of protection of this application is obviously not limited to these specific embodiments. The above embodiments are only used to illustrate the technical solutions of this application and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A dynamic lighting control method, characterized in that, include: Acquire multiple system configuration data and multiple tag data; wherein, the multiple system configuration data are used to represent the coordinates of UWB base stations, the distribution of lighting fixtures and the tunnel segmentation rules in the tunnel, and the multiple tag data are a preset sequence of the movement state of a target entity in the tunnel within a first time period, the end time of the first time period being no later than the current time; Trajectory prediction is performed based on the multiple system configuration data and the multiple tag data to obtain a predicted driving trajectory; wherein, the predicted driving trajectory is a sequence of the movement state of the target entity in the target area of ​​the tunnel during a second time period, the start time of the second time period being later than the current time; Based on the predicted driving trajectory, the tunnel segmentation rules, and the preset construction safety information, the brightness requirement value and emergency lighting mode of the target area are determined; wherein, the target area refers to the area traversed by the target entity in the second time period, the brightness requirement value is used to represent the brightness required by the target area when the target entity passes through the target area, and the emergency lighting mode is used to represent the lighting mode required by the target area when the target entity passes through the target area and a preset dangerous event occurs in the target area; The lighting fixtures in the target area are adjusted according to the brightness requirement value and the emergency lighting mode so that the lighting environment of the target area matches the brightness requirement value and the emergency lighting mode.

2. The dynamic lighting control method according to claim 1, characterized in that, The step of predicting the trajectory based on the multiple system configuration data and the multiple tag data to obtain the predicted driving trajectory includes: Based on the configuration data of the multiple systems, a digital model of the tunnel is constructed; wherein, the digital model of the tunnel is used to represent the distribution of multiple preset devices in the tunnel, the segmentation rules of the tunnel, and the dangerous areas; The predicted driving trajectory is obtained by performing trajectory prediction based on the tunnel digital model and the multiple tag data.

3. The dynamic lighting control method according to claim 1, characterized in that, The step of determining the brightness requirement value and emergency lighting mode of the target area based on the predicted driving trajectory, the tunnel segmentation rules, and preset construction safety information includes: In response to the target entity being a person or a vehicle, the brightness requirement value and emergency lighting mode of the target area are determined based on the predicted driving trajectory, the tunnel segmentation rules, and the construction safety information. In response to the target entities being the personnel and the vehicle, a first brightness requirement value and a first emergency lighting mode for the target area are determined based on the predicted personnel travel trajectory, the tunnel segmentation rules, and the construction safety information; wherein, the predicted travel trajectory includes the predicted personnel travel trajectory, which refers to the sequence of the personnel's movement state in the target area within the tunnel during a second time period; The first brightness requirement value is determined as the brightness requirement value, and the first emergency lighting mode is determined as the emergency lighting mode.

4. The dynamic lighting control method according to claim 1, characterized in that, The step of adjusting the lighting fixtures in the target area according to the brightness requirement value and the emergency lighting mode, so that the lighting environment of the target area matches the brightness requirement value and the emergency lighting mode, includes: In response to the occurrence of the dangerous event in the target area, the lighting fixtures in the target area are adjusted according to the emergency lighting mode so that the lighting environment of the target area matches the emergency lighting mode; In response to the absence of the dangerous event in the target area, the lighting fixtures in the target area are adjusted according to the brightness requirement value so that the lighting environment of the target area matches the brightness requirement value.

5. The dynamic lighting control method according to claim 4, characterized in that, In response to a hazardous event occurring in the target area, adjusting the lighting fixtures in the target area according to the emergency lighting mode to match the lighting environment of the target area with the emergency lighting mode includes: Obtain the hazard level of the hazardous event; wherein the hazard level includes a first level and a second level, and the second level is higher than the first level; In response to the danger level being the first level, the lighting fixtures in the target area are controlled to operate according to a preset first mode; wherein, the first mode includes maintaining the current brightness and flashing at a preset first frequency; In response to the hazard level being the second level, the lighting fixtures in the target area are controlled to operate in a preset second mode; wherein, the second mode includes switching the lighting fixtures to a red light source and flashing at a preset second frequency, the second frequency being greater than the first frequency.

6. The dynamic lighting control method according to claim 1, characterized in that, After adjusting the lighting fixtures in the target area according to the brightness requirement value and the emergency lighting mode to match the lighting environment of the target area with the brightness requirement value and the emergency lighting mode, the method further includes: Obtain multiple electrical parameters and position parameters of the lighting fixture; Fault detection is performed based on the multiple power parameters to obtain detection results; wherein, the detection results include the presence of a fault; In response to the detection result indicating a fault, a fault alarm signal for the lighting fixture is generated based on the multiple power parameters and location parameters, and the fault alarm signal is sent to a preset maintenance terminal so that maintenance personnel can repair the lighting fixture.

7. A dynamic lighting control device, characterized in that, include: The first acquisition module is used to acquire multiple system configuration data and multiple tag data; wherein, the multiple system configuration data is used to represent the coordinates of UWB base stations, the distribution of lighting fixtures and the tunnel segmentation rules in the tunnel, and the multiple tag data is a preset sequence of the movement state of a target entity in the tunnel in a first time period, the end time of the first time period is no later than the current time; The prediction module is used to perform trajectory prediction based on the multiple system configuration data and the multiple tag data to obtain a predicted driving trajectory; wherein, the predicted driving trajectory is a sequence of the movement state of the target entity in the target area within the tunnel during a second time period, the start time of the second time period being later than the current time; The determination module is used to determine the brightness requirement value and emergency lighting mode of the target area based on the predicted driving trajectory, the tunnel segmentation rules, and preset construction safety information; wherein, the target area refers to the area traversed by the target entity in the second time period, the brightness requirement value is used to represent the brightness required by the target area when the target entity passes through the target area, and the emergency lighting mode is used to represent the lighting mode required by the target area when the target entity passes through the target area and a preset dangerous event occurs in the target area; An adjustment module is used to adjust the lighting fixtures in the target area according to the brightness requirement value and the emergency lighting mode, so that the lighting environment of the target area matches the brightness requirement value and the emergency lighting mode.

8. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; When the processor executes the computer execution instructions stored in the memory, it is used to implement the dynamic lighting control method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the dynamic lighting control method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, It includes a computer program, which, when executed by a processor, is used to implement the dynamic lighting control method as described in any one of claims 1 to 6.

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