Intelligent lamp monitoring and brightness adjusting method and system

Abstract

The invention provides an intelligent lamp monitoring and brightness adjusting method and system, the system comprises a plurality of intelligent lamps, each intelligent lamp comprises a lamp control panel, a driving power panel, a high-efficiency energy-saving LED lamp panel and a high-light-flux shell, and the lamp control panel is provided with an infrared interface and a reserved radar interface; at least one 4G gateway which is installed at an interval of a preset distance and is provided with an illuminometer in a matching manner; the terminal control platform is in communication connection with the 4G gateway, is used for receiving the lamp state data, the radar detection data and the illuminance data uploaded by the 4G gateway, and can issue a timing strategy, a brightness adjustment strategy and an emergency warning strategy. The intelligent lamp can automatically adjust the environment illumination in the tunnel in real time according to the illumination sensor, the energy-saving efficiency is improved, and other sensors can be carried for data reporting.

Description

Technical Field

[0001] This application relates to the field of lighting technology, and in particular to a method and system for intelligent lighting monitoring and brightness adjustment. Background Technology

[0002] As a crucial infrastructure element in transportation networks, tunnels' internal lighting systems have a critical impact on driving safety and energy consumption control. Due to significant differences in light levels inside and outside tunnels, and the influence of factors such as traffic flow, time of day, and weather, it is essential to ensure that the illuminance inside tunnels remains within a reasonable range to prevent visual discomfort to drivers caused by sudden changes in light, while simultaneously considering the energy-saving requirements of the lighting system. In practical applications, tunnel lights are typically installed densely at certain intervals (e.g., 3-12 meters) to cover the entire tunnel area. Their lighting effect directly affects the safety and economy of traffic flow; therefore, there is an urgent need for intelligent and energy-efficient control of tunnel lighting.

[0003] In existing technologies, tunnel lighting mostly uses traditional energy-saving lamps or ordinary LED lamps, whose control modes are relatively simple. These lamps typically operate continuously at a fixed brightness and cannot autonomously adjust their brightness according to the actual environment inside the tunnel (such as external light intensity and traffic flow). Furthermore, most traditional lamps lack data acquisition and reporting capabilities, operating only as independent lighting units and lacking collaborative control capabilities. Although brightness can be adjusted manually or through simple timing strategies in some scenarios, it cannot dynamically respond to real-time environmental parameters (such as illuminance and vehicle flow), resulting in a passive and inflexible adjustment method.

[0004] However, existing tunnel lighting control solutions have significant drawbacks: First, traditional lamps cannot autonomously adjust their brightness, maintaining a fixed energy consumption regardless of traffic volume or ambient light intensity, resulting in substantial energy waste even during periods of low traffic or abundant natural light, leading to low energy efficiency. Second, they lack data reporting and status monitoring functions, failing to provide real-time feedback on lamp operating status and relying on manual inspection and maintenance, increasing maintenance costs and the risk of delayed fault response. Third, they lack intelligent collaborative control capabilities, unable to achieve self-networking of lamps or dynamic adjustment strategies based on sensor data (such as vehicle detection and illuminance sensing), making it difficult to adapt to the complex and ever-changing traffic and environmental scenarios within tunnels. Fourth, their functions are limited, only meeting basic lighting needs and unable to provide additional functions such as accident warnings as a traffic auxiliary carrier, making it difficult to address the safety early warning needs of sudden accidents within tunnels. Summary of the Invention

[0005] This application provides an intelligent lighting monitoring and brightness adjustment method and system to solve the problem that existing tunnel lighting can only meet basic lighting needs and cannot provide additional functions such as accident warning as a traffic auxiliary carrier, making it difficult to meet the safety early warning needs of sudden accidents in tunnels.

[0006] In a first aspect, this application provides a method for monitoring and adjusting the brightness of intelligent lighting fixtures, the method comprising:

[0007] When a vehicle is detected passing by, the lights switch to the highest brightness and illuminate the area immediately.

[0008] If no vehicle is detected passing within the first time period, the brightness of the lights will be switched to the second brightness level.

[0009] Parameter information of all lights in the tunnel is obtained at the second time interval;

[0010] Based on the parameter information, determine whether there are any faulty lamps;

[0011] When a malfunctioning light fixture is detected, the redundant lighting devices in the corresponding group of the malfunctioning light fixture are activated.

[0012] In some possible implementations, the luminaires are grouped via infrared interface configuration, with a reserved radar interface, and are connected to the lighting control network via independent radar sensors;

[0013] Multiple lighting fixtures can form a self-organizing network in the same scene. Based on the wired network port of the 4G gateway, the redundant lighting devices of the 4G network are connected to the switch through the wired network in areas with poor 4G signal, and then bridged to the gateway with normal 4G signal for data reporting and control policy distribution.

[0014] The terminal control platform sends timed policies through the gateway to adjust the brightness of tunnel lights, thereby achieving light source control in the same scenario.

[0015] In some possible implementations, the luminaire is equipped with a light intensity sensor and a temperature and humidity sensor to collect real-time environmental data and its own operating data inside the tunnel;

[0016] The collected data is connected to the lighting control network via wireless Bluetooth MESH networking and uploaded to the terminal control platform via a 4G gateway.

[0017] The terminal control platform analyzes the received data and generates a strategy for adjusting the brightness of the lights.

[0018] In some possible implementations, the method further includes:

[0019] Data is collected through sensor components mounted on the lamp, including a status sensor for monitoring the lamp's operating status and a radar sensor for detecting the movement of people or vehicles.

[0020] The collected data is transmitted to the 4G gateway via the lighting control network, and then uploaded to the terminal control platform by the 4G gateway via wired or 4G network.

[0021] The terminal control platform analyzes the received lighting status data, personnel density data, and vehicle traffic density data, and dynamically generates corresponding brightness adjustment strategies based on the traffic density at different times.

[0022] The terminal control platform sends the brightness adjustment strategy to the corresponding lamps through the 4G gateway, and controls the lamps to adjust their brightness to match the current flow density.

[0023] In some possible implementations, the terminal control platform analyzes the received lighting status data, personnel density data, and vehicle traffic density data, including:

[0024] The terminal control platform compares the real-time received personnel density data and vehicle flow density data with preset multiple density thresholds to determine the current density level, wherein the density level includes at least low flow density, medium flow density and high flow density.

[0025] Based on the current brightness, energy consumption, and fault information of each lamp in the lamp status data, the corresponding reference brightness adjustment range is matched for different density levels: 30%-50% of the reference brightness for low flow density, 60%-80% of the reference brightness for medium flow density, and 90%-100% of the reference brightness for high flow density.

[0026] In some possible implementations, the method further includes:

[0027] The terminal control platform receives accident information source data and generates a command to trigger the flashing of warning lights; wherein, the command is sent to the target lights in the tunnel through a 4G gateway;

[0028] The target lights are controlled to perform an alternating breathing flashing effect to attract the driver's attention through changes in light;

[0029] Once the risk is eliminated, the terminal control platform issues a command to cancel the emergency strategy, which is transmitted to the target lighting fixture via the 4G gateway, terminating the flashing of the warning light.

[0030] In some possible implementations, obtaining parameter information for all lights in the tunnel at a second time interval includes:

[0031] The parameter information of all lamps in the tunnel is periodically acquired according to the preset time interval. The parameter information includes the current brightness value, real-time operating current value, real-time operating voltage value, real-time temperature value and command response status of each lamp.

[0032] If any luminaire's current brightness value, real-time operating current value, real-time operating voltage value, or real-time temperature value exceeds the corresponding preset normal range, or if the command response status does not fall within the preset normal range, then the luminaire is determined to be a faulty luminaire.

[0033] In some possible implementations, the method further includes:

[0034] When a faulty light fixture is detected in the tunnel using a preset detection method, the terminal control platform obtains the identification information and group information of the faulty light fixture, wherein the group information is determined by the light control board through an infrared interface.

[0035] The terminal control platform retrieves the association information of redundant lighting devices in the group to which the faulty light fixture belongs. The redundant lighting devices are backup lights that are pre-configured in the group and are located in the same or adjacent position as the faulty light fixture.

[0036] The terminal control platform sends a start command to the redundant lighting device, controlling the redundant lighting device to switch from standby state to working state, and the brightness value after start is set to 90%-100% of the brightness value of the currently working lamps in the group, in order to compensate for the illuminance loss caused by the faulty lamps.

[0037] After startup, the terminal control platform monitors the operating parameters of the redundant lighting devices in real time to confirm that they are operating normally. The operating parameters include brightness value, operating current, and response status. The faulty lamp identification and the startup status of the redundant lighting devices are recorded in the fault log.

[0038] In some possible implementations, the method further includes:

[0039] The vehicle's position and direction of travel are obtained in real time by radar sensors. The terminal control platform issues an advance lighting instruction to the lighting group that the vehicle is about to enter, and a delayed lighting instruction to the lighting group that the vehicle is leaving.

[0040] The terminal control platform integrates real-time illuminance difference data from a illuminometer, traffic flow data from radar, and environmental data from temperature and humidity sensors to dynamically correct the strategy parameters of each group. When the external light changes abruptly, the brightness adjustment response time of the entrance section is shortened to 1 second. When the traffic flow exceeds 100 vehicles / minute, the standby brightness of the intelligent energy-saving lighting group is temporarily increased by 20%. When the ambient temperature exceeds 50℃, the brightness of the high-brightness operating lighting group is reduced by 5%-10%, and the brightness of adjacent lighting is compensated.

[0041] Secondly, this application provides an intelligent lighting control system, which is equipped with the intelligent lighting monitoring and brightness adjustment method described in the first aspect;

[0042] The system includes:

[0043] Multiple smart lamps, each of which includes a lamp control board, a driver power board, a high-efficiency energy-saving LED lamp board and a high-luminous-flux housing. The lamp control board is equipped with an infrared interface and a reserved radar interface. The infrared interface is used to group and configure the lamps, and the reserved radar interface is connected to a 5.8G radar or an independent radar sensor to achieve motion detection.

[0044] At least one 4G gateway is installed at a preset distance and equipped with a illuminance meter. The 4G gateway has a wired network port and 4G network function to realize data uploading and control policy distribution. The illuminance meter is connected to the lighting control network through wireless Bluetooth MESH networking.

[0045] The terminal control platform is connected to the 4G gateway for receiving lighting status data, radar detection data and illuminance data uploaded by the 4G gateway, and can also issue timing strategies, brightness adjustment strategies and emergency warning strategies.

[0046] Among them, multiple smart lamps achieve collaborative control in the same scenario through self-organizing network, and the 4G gateway is connected to the switch through wired network in areas with poor 4G signal, and is bridged to the gateway with normal 4G signal to complete data transmission.

[0047] As described above, this application provides a method and system for intelligent lighting monitoring and brightness adjustment. The system includes multiple intelligent lighting fixtures, each comprising a lighting control board, a driver power supply board, a high-efficiency energy-saving LED light board, and a high-luminous-flux housing. The lighting control board is equipped with an infrared interface and a reserved radar interface. The infrared interface is used for grouping and configuring the lighting fixtures, and the reserved radar interface connects to a 5.8G radar or an independent radar sensor for motion detection. At least one 4G gateway is included, installed at preset intervals and equipped with a illuminance meter. The 4G gateway has a wired network port and 4G network functionality for data upload and control policy distribution. The illuminance meter connects to the lighting control network via wireless Bluetooth MESH networking. A terminal control platform is also included, communicating with the 4G gateways to receive lighting fixture status data, radar detection data, and illuminance data uploaded by the 4G gateways. It can also distribute timing policies, brightness adjustment policies, and emergency warning policies. The intelligent lighting fixtures can autonomously adjust the ambient illuminance in the tunnel in real time based on the illuminance sensor, improving energy efficiency. They can also be equipped with other sensors for data reporting. As an auxiliary traffic vehicle tool, intelligent lighting fixtures are configured with intelligent light orientation during installation. In conjunction with video source data or accident information sources, they can trigger the flashing of warning lights to remind vehicles behind the accident to avoid it, thereby preventing the accident from spreading. Attached Figure Description

[0048] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 Scene diagram of the intelligent lighting control system provided in this application;

[0050] Figure 2 The intelligent lighting control system provided in the embodiments of this application Figure 1 ;

[0051] Figure 3 The intelligent lighting control system provided in the embodiments of this application Figure 2 . Detailed Implementation

[0052] The 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 represent the same or similar elements. The embodiments described below do not represent all embodiments consistent with this application. They are merely examples of systems and methods consistent with some aspects of this application as detailed in the claims.

[0053] As a crucial infrastructure element in transportation networks, tunnels' internal lighting systems have a critical impact on driving safety and energy consumption control. Due to significant differences in light levels inside and outside tunnels, and the influence of factors such as traffic flow, time of day, and weather, it is essential to ensure that the illuminance inside tunnels remains within a reasonable range to prevent visual discomfort to drivers caused by sudden changes in light, while simultaneously considering the energy-saving requirements of the lighting system. In practical applications, tunnel lights are typically installed densely at certain intervals (e.g., 3-12 meters) to cover the entire tunnel area. Their lighting effect directly affects the safety and economy of traffic flow; therefore, there is an urgent need for intelligent and energy-efficient control of tunnel lighting.

[0054] In existing technologies, tunnel lighting mostly uses traditional energy-saving lamps or ordinary LED lamps, whose control modes are relatively simple. These lamps typically operate continuously at a fixed brightness and cannot autonomously adjust their brightness according to the actual environment inside the tunnel (such as external light intensity and traffic flow). Furthermore, most traditional lamps lack data acquisition and reporting capabilities, operating only as independent lighting units and lacking collaborative control capabilities. Although brightness can be adjusted manually or through simple timing strategies in some scenarios, it cannot dynamically respond to real-time environmental parameters (such as illuminance and vehicle flow), resulting in a passive and inflexible adjustment method.

[0055] However, existing tunnel lighting control solutions have significant drawbacks: First, traditional lamps cannot autonomously adjust their brightness, maintaining a fixed energy consumption regardless of traffic volume or ambient light intensity, resulting in substantial energy waste even during periods of low traffic or abundant natural light, leading to low energy efficiency. Second, they lack data reporting and status monitoring functions, failing to provide real-time feedback on lamp operating status and relying on manual inspection and maintenance, increasing maintenance costs and the risk of delayed fault response. Third, they lack intelligent collaborative control capabilities, unable to achieve self-networking of lamps or dynamic adjustment strategies based on sensor data (such as vehicle detection and illuminance sensing), making it difficult to adapt to the complex and ever-changing traffic and environmental scenarios within tunnels. Fourth, their functions are limited, only meeting basic lighting needs and unable to provide additional functions such as accident warnings as a traffic auxiliary carrier, making it difficult to address the safety early warning needs of sudden accidents within tunnels.

[0056] Based on this, such as Figure 1 As shown, this application provides a method for monitoring and adjusting the brightness of intelligent lighting fixtures, the method comprising:

[0057] When a vehicle is detected passing by, the lights switch to the highest brightness and illuminate the area immediately.

[0058] If no vehicle is detected passing within the first time period, the brightness of the lights will be switched to the second brightness level.

[0059] Parameter information of all lights in the tunnel is obtained at the second time interval;

[0060] Based on the parameter information, determine whether there are any faulty lamps;

[0061] When a malfunctioning light fixture is detected, the redundant lighting devices in the corresponding group of the malfunctioning light fixture are activated.

[0062] In some embodiments, the lamps are grouped via infrared interface configuration, with a reserved radar interface, and are connected to the lighting control network via independent radar sensors;

[0063] Multiple lighting fixtures can form a self-organizing network in the same scene. Based on the wired network port of the 4G gateway, the redundant lighting devices of the 4G network are connected to the switch through the wired network in areas with poor 4G signal, and then bridged to the gateway with normal 4G signal for data reporting and control policy distribution.

[0064] The terminal control platform sends timed policies through the gateway to adjust the brightness of tunnel lights, thereby achieving light source control in the same scenario.

[0065] In some embodiments, the lamp is equipped with a light intensity sensor and a temperature and humidity sensor to collect real-time environmental data and its own operating data inside the tunnel;

[0066] The collected data is connected to the lighting control network via wireless Bluetooth MESH networking and uploaded to the terminal control platform via a 4G gateway.

[0067] The terminal control platform analyzes the received data and generates a strategy for adjusting the brightness of the lights.

[0068] In some embodiments, the method further includes:

[0069] Data is collected through sensor components mounted on the lamp, including a status sensor for monitoring the lamp's operating status and a radar sensor for detecting the movement of people or vehicles.

[0070] The collected data is transmitted to the 4G gateway via the lighting control network, and then uploaded to the terminal control platform by the 4G gateway via wired or 4G network.

[0071] The terminal control platform analyzes the received lighting status data, personnel density data, and vehicle traffic density data, and dynamically generates corresponding brightness adjustment strategies based on the traffic density at different times.

[0072] The terminal control platform sends the brightness adjustment strategy to the corresponding lamps through the 4G gateway, and controls the lamps to adjust their brightness to match the current flow density.

[0073] By using radar sensors to detect the density of pedestrian and vehicle traffic in real time, combined with dynamic analysis and strategy generation by the terminal control platform, the brightness of the lights can be precisely adjusted according to changes in traffic density (e.g., reducing brightness during low traffic and maintaining illuminance during high traffic). This avoids the energy waste of traditional fixed brightness modes, maximizing energy savings while meeting lighting needs, with energy efficiency improved by over 30%. Relying on real-time data acquisition from sensor components and the strategy distribution mechanism of the terminal platform, the lights can quickly respond to changes in traffic density (e.g., increasing brightness promptly when traffic volume surges), ensuring that the lighting inside the tunnel remains within a reasonable range. This guarantees the safety of vehicles and pedestrians while adapting to lighting needs at different times and in different scenarios, enhancing the system's intelligence level.

[0074] Real-time monitoring of lighting fixture operating parameters by status sensors can promptly provide feedback on lighting fixture malfunctions, facilitating rapid problem identification and maintenance strategy development by the terminal control platform. This reduces the frequency and cost of manual inspections and prevents insufficient lighting or abnormal energy consumption caused by lighting fixture malfunctions, ensuring stable system operation.

[0075] In some embodiments, the terminal control platform analyzes the received lighting status data, personnel density data, and vehicle traffic density data, including:

[0076] The terminal control platform compares the real-time received personnel density data and vehicle flow density data with preset multiple density thresholds to determine the current density level, wherein the density level includes at least low flow density, medium flow density and high flow density.

[0077] Based on the current brightness, energy consumption, and fault information of each lamp in the lamp status data, the corresponding reference brightness adjustment range is matched for different density levels: 30%-50% of the reference brightness for low flow density, 60%-80% of the reference brightness for medium flow density, and 90%-100% of the reference brightness for high flow density.

[0078] In some embodiments, the method further includes:

[0079] The terminal control platform receives accident information source data and generates a command to trigger the flashing of warning lights; wherein, the command is sent to the target lights in the tunnel through a 4G gateway;

[0080] The target lights are controlled to perform an alternating breathing flashing effect to attract the driver's attention through changes in light;

[0081] Once the risk is eliminated, the terminal control platform issues a command to cancel the emergency strategy, which is transmitted to the target lighting fixture via the 4G gateway, terminating the flashing of the warning light.

[0082] In some embodiments, acquiring parameter information of all lights in the tunnel at second time intervals includes:

[0083] The parameter information of all lamps in the tunnel is periodically acquired according to the preset time interval. The parameter information includes the current brightness value, real-time operating current value, real-time operating voltage value, real-time temperature value and command response status of each lamp.

[0084] If any luminaire's current brightness value, real-time operating current value, real-time operating voltage value, or real-time temperature value exceeds the corresponding preset normal range, or if the command response status does not fall within the preset normal range, then the luminaire is determined to be a faulty luminaire.

[0085] By periodically collecting multi-dimensional parameters such as the current brightness value, real-time operating current / voltage value, real-time temperature value, and command response status of the lamps, key indicators of the lamps' electrical performance, optical performance, and communication response capability are covered. Compared with single parameter detection, it can more comprehensively reflect the lamps' operating status and accurately identify various problems such as abnormal brightness, circuit faults, overheating risks, and communication failures. This avoids lighting interruptions or insufficient illuminance due to missed fault detection and ensures the stable operation of the lighting system in the tunnel.

[0086] By periodically testing at preset time intervals, the system can continuously monitor changes in the status of the lighting fixtures, making it easier to detect potential faults (such as slow temperature increases or gradual brightness decreases) in the early stages when parameters exceed the normal range. This allows maintenance personnel to intervene in advance, preventing the fault from escalating and causing damage to the lighting fixtures or increasing replacement costs. At the same time, the clear fault determination criteria (comparison of parameters with preset ranges) reduce the blindness of manual troubleshooting, improve maintenance efficiency, and reduce operation and maintenance costs.

[0087] By monitoring parameters such as brightness, current, and voltage, abnormal brightness (such as sudden drop in brightness but still high power operation) or abnormal energy consumption (such as excessive current) caused by faults can be detected in a timely manner. This prevents faulty lights from being in an inefficient energy-consuming state for a long time, ensures that the energy efficiency of the entire tunnel lighting system is not dragged down by a single fault node, and maintains the stability of energy-saving targets.

[0088] The automated parameter acquisition and fault diagnosis process breaks away from the limitations of traditional manual inspections, adapts to the long-term and continuous monitoring needs of complex scenarios such as tunnels, and the judgment criteria are quantified based on preset ranges, reducing human judgment errors, making fault detection more objective and consistent, and improving the intelligent management level of the entire lighting system.

[0089] In some embodiments, the method further includes:

[0090] When a faulty light fixture is detected in the tunnel using a preset detection method, the terminal control platform obtains the identification information and group information of the faulty light fixture, wherein the group information is determined by the light control board through an infrared interface.

[0091] The terminal control platform retrieves the association information of redundant lighting devices in the group to which the faulty light fixture belongs. The redundant lighting devices are backup lights that are pre-configured in the group and are located in the same or adjacent position as the faulty light fixture.

[0092] The terminal control platform sends a start command to the redundant lighting device, controlling the redundant lighting device to switch from standby state to working state, and the brightness value after start is set to 90%-100% of the brightness value of the currently working lamps in the group, in order to compensate for the illuminance loss caused by the faulty lamps.

[0093] After startup, the terminal control platform monitors the operating parameters of the redundant lighting devices in real time to confirm that they are operating normally. The operating parameters include brightness value, operating current, and response status. The faulty lamp identification and the startup status of the redundant lighting devices are recorded in the fault log.

[0094] The terminal control platform can quickly obtain the identification and grouping information of faulty lights, accurately locate the fault location, and activate the preset redundant lighting devices in the same group. The brightness of the faulty lights is set to 90%-100% of the brightness of the normal lights in the same group. This can promptly compensate for the illuminance loss caused by the faulty lights, ensure that the illuminance of the corresponding area in the tunnel is always maintained within the set range, avoid insufficient local lighting due to single light failure, and ensure the safety of vehicles or pedestrians.

[0095] Redundant lighting devices are pre-configured at the same or adjacent locations as the faulty luminaires and are matched with the parameters of the luminaires in their respective groups. Combined with the automated startup and monitoring mechanisms of the terminal platform, the fault response process can be completed quickly without manual intervention, effectively reducing the impact of faults on the overall lighting system. Even if one or more luminaires fail, the system can still maintain normal function through redundancy design, significantly improving the fault tolerance and operational reliability of the tunnel lighting system.

[0096] The terminal control platform records faulty light fixture identification and redundant device activation status in the fault log, providing maintenance personnel with accurate fault location information and reducing the time and cost of manual troubleshooting. At the same time, the temporary replacement function of redundant devices avoids high costs associated with emergency repairs, allowing maintenance work to proceed in an orderly manner according to plan, thus balancing system stability and operational economy.

[0097] In some embodiments, the method further includes:

[0098] The vehicle's position and direction of travel are obtained in real time by radar sensors. The terminal control platform issues an advance lighting instruction to the lighting group that the vehicle is about to enter, and a delayed lighting instruction to the lighting group that the vehicle is leaving.

[0099] The terminal control platform integrates real-time illuminance difference data from a illuminometer, traffic flow data from radar, and environmental data from temperature and humidity sensors to dynamically correct the strategy parameters of each group. When the external light changes abruptly, the brightness adjustment response time of the entrance section is shortened to 1 second. When the traffic flow exceeds 100 vehicles / minute, the standby brightness of the intelligent energy-saving lighting group is temporarily increased by 20%. When the ambient temperature exceeds 50℃, the brightness of the high-brightness operating lighting group is reduced by 5%-10%, and the brightness of adjacent lighting is compensated.

[0100] By acquiring the vehicle's position and direction of travel in real time through radar sensors, the terminal control platform issues a lighting command to the light clusters the vehicle is about to enter and a delayed lighting command to the exit area. This avoids the problem of the lights in front of the vehicle not turning on in time or the lights behind the vehicle turning off too early, ensuring that the vehicle's driving path is always within the range of sufficient lighting coverage, reducing blind spots caused by light lag, and improving driving safety.

[0101] The terminal control platform integrates multi-dimensional data from light meters, radar, temperature and humidity sensors to dynamically correct strategy parameters: when external light changes abruptly, it shortens the response time at the entrance section, quickly balancing the light difference between inside and outside the tunnel and avoiding visual discomfort for drivers; during peak traffic hours, it increases standby brightness, reducing brightness fluctuations caused by frequent lamp switching while ensuring lighting needs are met; and during high temperatures, it adjusts the brightness of high-brightness lamps and compensates adjacent areas, protecting LED components and extending their lifespan while maintaining overall illuminance stability, making the system more adaptable to the changing environment and traffic conditions inside the tunnel.

[0102] Based on vehicle dynamics, the strategy of early lighting and delayed lighting can avoid long-term high-brightness operation of lights in areas without vehicles while ensuring lighting effects. The dynamic adjustment linked to traffic flow and environmental parameters can more accurately match energy consumption with actual needs, maximizing energy-saving effects while ensuring safety, and further improving the energy-saving rate compared to a fixed strategy.

[0103] In some embodiments, this application also provides an intelligent lighting control system, configured with the intelligent lighting monitoring and brightness adjustment method described in the above embodiments;

[0104] The system includes:

[0105] Multiple smart lamps, each of which includes a lamp control board, a driver power board, a high-efficiency energy-saving LED lamp board and a high-luminous-flux housing. The lamp control board is equipped with an infrared interface and a reserved radar interface. The infrared interface is used to group and configure the lamps, and the reserved radar interface is connected to a 5.8G radar or an independent radar sensor to achieve motion detection.

[0106] At least one 4G gateway is installed at a preset distance and equipped with a illuminance meter. The 4G gateway has a wired network port and 4G network function to realize data uploading and control policy distribution. The illuminance meter is connected to the lighting control network through wireless Bluetooth MESH networking.

[0107] The terminal control platform is connected to the 4G gateway for receiving lighting status data, radar detection data and illuminance data uploaded by the 4G gateway, and can also issue timing strategies, brightness adjustment strategies and emergency warning strategies.

[0108] Among them, multiple smart lamps achieve collaborative control in the same scenario through self-organizing network, and the 4G gateway is connected to the switch through wired network in areas with poor 4G signal, and is bridged to the gateway with normal 4G signal to complete data transmission.

[0109] Example

[0110] like Figures 1 to 3As shown, each lamp can be used independently. The control board, along with the power supply, high-efficiency energy-saving LEDs, and high-luminous-flux housing, achieves energy savings of approximately 30% or more compared to traditional energy-saving lamps at the same illuminance. Figure 2 As shown, when multiple lights are used in the same scene, the lights can form a self-organizing network. After adjusting the application strategy, the light source can be controlled in the same scene, and the energy consumption control level can be adjusted autonomously using radar data, thereby realizing efficient and intelligent energy-saving scene applications.

[0111] like Figure 3 As shown, tunnel energy-saving lights are installed at intervals of 3-12 meters, with a 4G gateway installed approximately every 100 meters (if the distance exceeds four lanes on the opposite side, gateways need to be installed on both sides as reporting nodes for the lights). Each gateway node is equipped with a illuminance meter. The illuminance meter is designed independently or directly connected to the gateway motherboard. It can access the lighting control network via wireless Bluetooth MESH networking. By setting the illuminance range, the brightness of the energy-saving lights is automatically adjusted to ensure that the illuminance in the tunnel reaches the set range. The 4G gateway features a redundant design with both wired network ports and 4G network functionality. It can directly issue timing policies through the terminal control platform to adjust the brightness of the tunnel lights. In areas with poor 4G signal within the tunnel, the wired network can connect to a switch and then bridge to a gateway with a normal 4G signal for data reporting and control policy distribution to the lighting control board. The lighting control uses infrared interfaces for grouping, with a reserved radar interface (vertical detection distance is typically 3-5 meters). Interfaces can be added or removed as needed. For longer detection distances, independent radar sensors can be used to access the lighting control network.

[0112] For information on how to automatically adjust the brightness of tunnel lights, please refer to [link / reference]. Figure 1 The tunnel lighting scenario is described below.

[0113] Method 1: Lights near the tunnel entrance are set to be constantly on according to anti-glare requirements, with appropriate brightness settings based on external conditions. Taking 30 lights as an example, these 30 lights are set as one group (anti-glare group). Lights inside the tunnel are set into 2, 3, 4 groups, etc., with 200 lights in total (the number is set according to actual needs). The intelligent energy-saving light groups are distributed and set with working brightness and standby brightness. When a vehicle passes by, the detection radar in the intelligent energy-saving light group detects the vehicle passing by, and the lights in the same group switch to working lighting state, i.e., working brightness (gradual brightening). When no vehicle passes by, the energy-saving light group gradually reduces the working brightness to standby brightness. The standby brightness is set according to the actual environment, thereby achieving the ability to adjust the ambient brightness inside the tunnel in an energy-saving manner.

[0114] Method 2: Add a illuminance meter to all lighting units. The intelligent energy-saving lamps will intelligently adjust their standby brightness based on the illuminance meter readings. When the intelligent energy-saving lamps detect a vehicle passing by, they will adjust their brightness to the working brightness. When no vehicle is detected, they will slowly adjust their brightness back to the standby brightness, thereby achieving the ability to adjust the ambient brightness in the tunnel in an energy-saving manner.

[0115] Method 3: Adjust the brightness of the lamps by issuing time-based strategies. The energy-saving lamps obtain time information and control strategy information through the gateway device and adjust the ambient brightness in the tunnel according to the control strategy.

[0116] The above methods can be used in combination. Regarding the issue of single lamp failure, there will be redundant lighting devices at a single point in the tunnel light. This is designed based on the scenario where maintenance and replacement are difficult. The ultimate way for all energy-saving lamps to achieve energy saving is to enter standby brightness. The failure of a single node will not affect the overall use (if a lamp within the range of the illuminance meter is damaged, the change in the illuminance meter reading will only adjust the standby brightness of that group of lamps, resulting in a loss of some energy-saving efficiency, but will not affect the overall use).

[0117] As can be seen from the above embodiments, this application provides an intelligent lighting monitoring and brightness adjustment method and system. The system includes multiple intelligent lighting fixtures, each of which includes a lighting control board, a driver power supply board, a high-efficiency energy-saving LED light board, and a high-luminous-flux housing. The lighting control board is equipped with an infrared interface and a reserved radar interface. The infrared interface is used for grouping and configuring the lighting fixtures, and the reserved radar interface connects to a 5.8G radar or an independent radar sensor to achieve motion detection. At least one 4G gateway is included, installed at preset intervals and equipped with a illuminance meter. The 4G gateway has a wired network port and 4G network functionality, used for data upload and control policy distribution. The illuminance meter connects to the lighting control network via wireless Bluetooth MESH networking. A terminal control platform is also included, communicating with the 4G gateways to receive lighting fixture status data, radar detection data, and illuminance data uploaded by the 4G gateways, and can distribute timing policies, brightness adjustment policies, and emergency warning policies. The intelligent lighting fixtures can autonomously adjust the ambient illuminance in the tunnel in real time based on the illuminance sensor, improving energy efficiency, and can also be equipped with other sensors for data reporting. As an auxiliary traffic vehicle tool, intelligent lighting fixtures are configured with intelligent light orientation during installation. In conjunction with video source data or accident information sources, they can trigger the flashing of warning lights to remind vehicles behind the accident to avoid it, thereby preventing the accident from spreading.

[0118] Similar parts between the embodiments provided in this application can be referred to mutually. The specific implementation methods provided above are only a few examples under the overall concept of this application and do not constitute a limitation on the scope of protection of this application. For those skilled in the art, any other implementation methods extended from the solution of this application without creative effort shall fall within the scope of protection of this application.

Claims

1. A method for monitoring and adjusting the brightness of intelligent lighting fixtures, characterized in that, The method includes: When a vehicle is detected passing by, the lights switch to the highest brightness and illuminate the area immediately. If no vehicle is detected passing within the first time period, the brightness of the lights will be switched to the second brightness level. Parameter information of all lights in the tunnel is obtained at the second time interval; Based on the parameter information, determine whether there are any faulty lamps; When a malfunctioning light fixture is detected, the redundant lighting devices in the corresponding group of the malfunctioning light fixture are activated.

2. The intelligent lighting monitoring and brightness adjustment method according to claim 1, characterized in that, The lights are grouped via infrared interface configuration, with a reserved radar interface, and are connected to the lighting control network via independent radar sensors; Multiple lighting fixtures can form a self-organizing network in the same scene. Based on the wired network port of the 4G gateway, the redundant lighting devices of the 4G network are connected to the switch through the wired network in areas with poor 4G signal, and then bridged to the gateway with normal 4G signal for data reporting and control policy distribution. The terminal control platform sends timed policies through the gateway to adjust the brightness of tunnel lights, thereby achieving light source control in the same scenario.

3. The intelligent lighting monitoring and brightness adjustment method according to claim 2, characterized in that, The lighting fixtures are equipped with illuminance sensors and temperature and humidity sensors to collect real-time environmental data and their own operating data inside the tunnel. The collected data is connected to the lighting control network via wireless Bluetooth MESH networking and uploaded to the terminal control platform via a 4G gateway. The terminal control platform analyzes the received data and generates a strategy for adjusting the brightness of the lights.

4. The intelligent lighting monitoring and brightness adjustment method according to claim 3, characterized in that, The method further includes: Data is collected through sensor components mounted on the lamp, including a status sensor for monitoring the lamp's operating status and a radar sensor for detecting the movement of people or vehicles. The collected data is transmitted to the 4G gateway via the lighting control network, and then uploaded to the terminal control platform by the 4G gateway via wired or 4G network. The terminal control platform analyzes the received lighting status data, personnel density data, and vehicle traffic density data, and dynamically generates corresponding brightness adjustment strategies based on the traffic density at different times. The terminal control platform sends the brightness adjustment strategy to the corresponding lamps through the 4G gateway, and controls the lamps to adjust their brightness to match the current flow density.

5. The intelligent lighting monitoring and brightness adjustment method according to claim 4, characterized in that, The terminal control platform analyzes the received lighting status data, personnel density data, and vehicle traffic density data, including: The terminal control platform compares the real-time received personnel density data and vehicle flow density data with preset multiple density thresholds to determine the current density level, wherein the density level includes at least low flow density, medium flow density and high flow density. Based on the current brightness, energy consumption, and fault information of each lamp in the lamp status data, the corresponding reference brightness adjustment range is matched for different density levels: 30%-50% of the reference brightness for low flow density, 60%-80% of the reference brightness for medium flow density, and 90%-100% of the reference brightness for high flow density.

6. The intelligent lighting monitoring and brightness adjustment method according to claim 1, characterized in that, The method further includes: The terminal control platform receives accident information source data and generates a command to trigger the flashing of warning lights; wherein, the command is sent to the target lights in the tunnel through a 4G gateway; The target lights are controlled to perform an alternating breathing flashing effect to attract the driver's attention through changes in light; Once the risk is eliminated, the terminal control platform issues a command to cancel the emergency strategy, which is transmitted to the target lighting fixture via the 4G gateway, terminating the flashing of the warning light.

7. The intelligent lighting monitoring and brightness adjustment method according to claim 2, characterized in that, The parameter information of all lights in the tunnel is obtained at the second time interval, including: The parameter information of all lamps in the tunnel is periodically acquired according to the preset time interval. The parameter information includes the current brightness value, real-time operating current value, real-time operating voltage value, real-time temperature value and command response status of each lamp. If any luminaire's current brightness value, real-time operating current value, real-time operating voltage value, or real-time temperature value exceeds the corresponding preset normal range, or if the command response status does not fall within the preset normal range, then the luminaire is determined to be a faulty luminaire.

8. The intelligent lighting monitoring and brightness adjustment method according to claim 7, characterized in that, The method further includes: When a faulty light fixture is detected in the tunnel using a preset detection method, the terminal control platform obtains the identification information and group information of the faulty light fixture, wherein the group information is determined by the light control board through an infrared interface. The terminal control platform retrieves the association information of redundant lighting devices in the group to which the faulty light fixture belongs. The redundant lighting devices are backup lights that are pre-configured in the group and are located in the same or adjacent position as the faulty light fixture. The terminal control platform sends a start command to the redundant lighting device, controlling the redundant lighting device to switch from standby state to working state, and the brightness value after start is set to 90%-100% of the brightness value of the currently working lamps in the group, in order to compensate for the illuminance loss caused by the faulty lamps. After startup, the terminal control platform monitors the operating parameters of the redundant lighting devices in real time to confirm that they are operating normally. The operating parameters include brightness value, operating current, and response status. The faulty lamp identification and the startup status of the redundant lighting devices are recorded in the fault log.

9. The intelligent lighting monitoring and brightness adjustment method according to claim 3, characterized in that, The method further includes: The vehicle's position and direction of travel are obtained in real time by radar sensors. The terminal control platform issues an advance lighting instruction to the lighting group that the vehicle is about to enter, and a delayed lighting instruction to the lighting group that the vehicle is leaving. The terminal control platform integrates real-time illuminance difference data from a illuminometer, traffic flow data from radar, and environmental data from temperature and humidity sensors to dynamically correct the strategy parameters of each group. When the external light changes abruptly, the brightness adjustment response time of the entrance section is shortened to 1 second. When the traffic flow exceeds 100 vehicles / minute, the standby brightness of the intelligent energy-saving lighting group is temporarily increased by 20%. When the ambient temperature exceeds 50℃, the brightness of the high-brightness operating lighting group is reduced by 5%-10%, and the brightness of adjacent lighting is compensated.

10. An intelligent lighting control system, characterized in that, The device is equipped with the intelligent lighting monitoring and brightness adjustment method according to any one of claims 1 to 9; The system includes: Multiple smart lamps, each of which includes a lamp control board, a driver power board, a high-efficiency energy-saving LED lamp board and a high-luminous-flux housing. The lamp control board is equipped with an infrared interface and a reserved radar interface. The infrared interface is used to group and configure the lamps, and the reserved radar interface is connected to a 5.8G radar or an independent radar sensor to achieve motion detection. At least one 4G gateway is installed at a preset distance and equipped with a illuminance meter. The 4G gateway has a wired network port and 4G network function to realize data uploading and control policy distribution. The illuminance meter is connected to the lighting control network through wireless Bluetooth MESH networking. The terminal control platform is connected to the 4G gateway for receiving lighting status data, radar detection data and illuminance data uploaded by the 4G gateway, and can also issue timing strategies, brightness adjustment strategies and emergency warning strategies. Among them, multiple smart lamps achieve collaborative control in the same scenario through self-organizing network, and the 4G gateway is connected to the switch through wired network in areas with poor 4G signal, and is bridged to the gateway with normal 4G signal to complete data transmission.

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