Energy-saving illumination control method and system for urban illumination LED lamp group

Abstract

The invention discloses an energy-saving illumination control system and method for an urban illumination LED lamp group, and relates to the technical field of illumination control, and the system comprises an ambient light detection module, a traffic flow monitoring module, a time period division module, a weather information acquisition module, a weather information control module, an LED lamp group driving module, a wireless communication module, a high-precision photosensitive sensor for the ambient light detection module, a filtering and temperature compensation module, and an intensity measurement accurate data transmission module. The traffic flow monitoring module depends on geomagnetism or camera shooting, is high in precision and strong in recognition, and facilitates regulation and control through data; the time period division module accurately times and corrects time according to a clock chip, and sets illumination measures according to the time; the weather information acquisition module is networked to acquire meteorological data, and lamps are adjusted according to day conditions; and the control module multi-core microprocessor calculates illumination levels and brightness according to multi-source data to control lamp groups. According to multi-factor intelligent lamp control, energy saving is remarkable, lighting quality is good, comfort and safety are improved, remote monitoring and management can be achieved, troubleshooting is accurate and efficient, maintenance is convenient and fast, intelligent and green development of urban lighting is promoted, and the intelligent city construction requirement is met.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving lighting control, and in particular to an energy-saving lighting control system and method for an urban lighting LED lamp group. Background Art

[0002] With the acceleration of urbanization, urban lighting, as an important part of urban infrastructure, plays a vital role in improving the city's image, ensuring traffic safety and promoting the development of the night economy. However, traditional urban lighting systems mostly use fixed lighting modes and timing control strategies, which have many drawbacks.

[0003] In terms of energy consumption, urban lighting consumes a huge amount of electricity, especially during off-peak hours at night when there are fewer vehicles and people on the road, but street lights still maintain a high brightness, resulting in a large amount of energy waste. For example, the lighting systems in some old urban areas lack intelligent control mechanisms. Even when there are almost no people or cars on the road late at night, street lights still operate at the preset maximum power, resulting in inefficient use of electricity resources. This not only increases the energy burden of the city, but also does not meet the urgent needs of today's society for energy conservation and emission reduction.

[0004] From the perspective of the matching degree between lighting effects and actual needs, traditional lighting cannot dynamically adjust the brightness according to the ambient light intensity and traffic flow. When the ambient light is strong, such as on a moonlit night or in areas with other lighting sources around, the excessive brightness of street lights will cause glare, affect the sight of pedestrians and drivers, reduce visual comfort, and may even cause traffic safety accidents. In periods of low traffic flow, overly bright lighting is not actually necessary, but instead causes energy waste and light pollution.

[0005] In addition, the maintenance and management efficiency of traditional urban lighting systems is low. Due to the lack of real-time monitoring and accurate feedback on the operating status of lighting equipment in various sections of the road, when street lamps fail, such as bulb damage, drive circuit failure, etc., they are often not discovered and repaired in time. Maintenance personnel usually need to conduct regular inspections to find problems, which not only consumes a lot of manpower and material resources, but also leads to untimely maintenance of street lamp failures, affecting the normal operation of urban lighting and reducing the reliability and stability of urban lighting services.

[0006] Furthermore, in the context of modern smart city construction, traditional lighting systems are difficult to effectively integrate and interact with other urban intelligent management systems, and cannot provide data support for urban intelligent management and decision-making, which hinders the improvement of the overall intelligent level of the city. In summary, it is urgent to develop an urban lighting LED lamp group system and method that can perform intelligent energy-saving lighting control based on multiple factors such as ambient light, traffic flow, time, etc., in order to achieve efficient energy saving, precise lighting, intelligent management and maintenance of urban lighting. Summary of the invention

[0007] The present invention proposes an energy-saving lighting control method and system for an urban lighting LED lamp group to solve the problems mentioned in the above-mentioned prior art.

[0008] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: an energy-saving lighting control system for urban lighting LED lamp groups, comprising:

[0009] Ambient light detection module: It uses a high-precision photosensor to provide a basis for the system to adjust the lighting according to changes in ambient light. The photosensor uses an optical filter and has a temperature compensation circuit integrated inside the sensor.

[0010] Traffic flow monitoring module: uses geomagnetic sensors or camera image recognition technology to monitor road vehicle flow and speed, distinguish different vehicle models and count the number, and transmit traffic flow data to the control module. When camera image recognition is used, the camera is equipped with a high-performance image processor and uses deep learning algorithms for vehicle identification and tracking. It can accurately identify vehicles in complex traffic scenes, and the camera has autofocus and anti-shake functions;

[0011] Time division module: built-in high-precision clock chip, accurately obtains current time information, and divides a day into multiple lighting periods according to the preset time division rules. The clock chip has automatic time calibration function and regularly synchronizes with the standard time server through the network time protocol NTP;

[0012] Weather information acquisition module: connect to the meteorological data service platform through the network to obtain local weather information, including cloudy, rainy, snowy, foggy weather conditions and visibility data. According to the weather information, the system can automatically adjust the brightness and lighting mode of the LED light group under severe weather conditions, including increasing the lighting brightness and turning on the fog light mode;

[0013] Control module: It is composed of a high-performance microprocessor, runs a special lighting control algorithm, receives data from the ambient light detection module, traffic flow monitoring module, time period division module and weather information acquisition module, and automatically reduces the brightness of the LED light group according to the preset energy-saving strategy, including when the ambient light intensity is higher than 30lux and the traffic volume is less than 5 vehicles / minute. The control signal output delay time is less than 0.5 seconds, and controls the switching and brightness adjustment operations of the LED light group. The microprocessor adopts a multi-core architecture, and the control module also has a data storage function;

[0014] LED lamp group drive module: adopts constant current drive chip, adjusts the output current according to the command of the control module, realizes linear adjustment of the brightness of the LED lamp group, and has over-current, over-voltage and over-heat protection functions; the drive chip adopts advanced pulse width modulation PWM technology, and accurately controls the output current by adjusting the duty cycle of the PWM signal;

[0015] Wireless communication module: supports Wi-Fi, Bluetooth or 4G / 5G communication protocols, transmits the system's operating status data, including lamp group brightness, energy consumption, ambient light intensity, and traffic flow information to the remote monitoring center, and receives control instructions from the remote monitoring center to achieve remote monitoring and management. The wireless communication module uses intelligent antenna technology to automatically adjust the antenna direction and gain according to the signal strength, and has data encryption function, using the Advanced Encryption Standard AES algorithm to encrypt the transmitted data.

[0016] Furthermore, the ambient light detection module is equipped with an automatic calibration function, which automatically calibrates the sensor zero point every 24 hours. The calibration error is less than ±2lux, ensuring the long-term stability of the accuracy of ambient light measurement. The sensor housing is made of UV-proof, waterproof and dust-proof materials, with a protection level of IP65, which extends the service life of the sensor. The automatic calibration process uses a standard light source for comparative calibration. The light intensity stability of the standard light source is within ±1lux, and during the calibration process, the system will automatically detect the working status of the sensor, including whether parameters such as photoelectric conversion efficiency and signal amplification factor are normal, and issue an alarm in time if any abnormality is found.

[0017] Furthermore, the camera of the traffic flow monitoring module adopts a high-definition low-light camera with a resolution of not less than 1080p and a minimum illumination of 0.01lux. It can clearly identify vehicles at night and in low light conditions, and the camera has an intelligent fill light function. When the ambient light is insufficient, the fill light is automatically turned on. The fill light intensity can be automatically adjusted according to the ambient light to avoid interfering with the driver's vision. The fill light adopts a high color rendering LED light source with a color rendering index of not less than 80, which can truly restore the vehicle color and road scene, and the fill light angle can be automatically adjusted according to the camera shooting range.

[0018] Furthermore, the lighting control algorithm of the control module adopts a fuzzy logic control algorithm, which takes multiple factors such as ambient light intensity, traffic flow, time, and weather conditions as input variables, and obtains the optimal brightness output value of the LED light group through fuzzy reasoning. The fuzzy rule library of the fuzzy logic control algorithm is optimized and adjusted according to the actual application scenario, including adjusting the influence weight of each input variable on the output brightness according to the traffic characteristics and climatic conditions of different cities. The algorithm also has a self-learning function, which continuously optimizes the fuzzy rules according to historical data and user feedback to improve control accuracy.

[0019] Furthermore, the LED lamp group driving module adopts a high-efficiency switching power supply topology structure, and the power conversion efficiency is not less than 90%, which reduces energy loss, and a temperature sensor is integrated inside the driving module to monitor the chip temperature in real time. When the temperature exceeds 80°C, the output current is automatically reduced. The switching power supply topology structure adopts synchronous rectification technology, and the driving module has a soft start function, which gradually increases the output current during startup.

[0020] Furthermore, an energy-saving lighting control method using the urban lighting LED lamp group includes the following steps:

[0021] Data collection steps: The ambient light detection module and the traffic flow monitoring module respectively collect ambient light intensity data and traffic flow data in real time, the time period division module obtains the current time information, and the weather information acquisition module obtains the weather condition data. The data collection frequency and accuracy meet the system requirements, and the collected data is transmitted to the control module;

[0022] Data analysis steps: After receiving the data, the control module analyzes the ambient light intensity, traffic flow, time, and weather condition data according to the preset algorithm, including determining whether the ambient light intensity is higher than the preset threshold, whether the traffic flow is in a low-peak state, what lighting period the current period belongs to, whether the weather affects road visibility, etc., to determine the current lighting demand level, which is divided into 1-5 levels. During the analysis process, the weighted average algorithm is used to process the ambient light intensity data; the dynamic threshold algorithm is used to automatically adjust the traffic flow threshold according to different time periods and weather conditions.

[0023] Control instruction generation step: according to the lighting demand level, the control module generates corresponding control instructions, such as when the lighting demand level is level 1, it generates an instruction to adjust the brightness of the LED light group to 10% of the minimum brightness; when the lighting demand level is level 3, it generates an instruction to adjust the brightness to 50%, etc. The control instruction generation time is less than 0.1 seconds; when generating control instructions, the cumulative lighting time of the LED light group is also considered. When the cumulative lighting time is long, the brightness is reduced to extend the life of the light group. Specifically, for every 1,000 hours of cumulative lighting, the brightness corresponding to the current lighting demand level is reduced by 5%;

[0024] Light group control steps: The LED light group driver module receives the command of the control module, adjusts the output current, and controls the brightness of the LED light group, so that the brightness of the light group matches the current lighting demand. During the brightness adjustment process, the light is guaranteed to be flicker-free, the transition is smooth, and the adjustment response time is less than 0.5 seconds; linear dimming technology is used to gradually adjust the driving current according to the control command, and the voltage and current changes of the LED light group are monitored in real time during the dimming process;

[0025] Remote monitoring steps: The wireless communication module transmits the system's operating status data to the remote monitoring center. The remote monitoring center can view the lighting conditions and energy consumption information of the lamp groups on each road section in real time. At the same time, it can send remote control instructions to the control module, including manually adjusting the brightness of the lamp group, setting energy-saving strategy parameters, etc., to achieve centralized management and remote control of the urban lighting system. The remote monitoring center has data visualization function, which can display the lighting data of each road section in the form of charts and generate reports.

[0026] Furthermore, in the data analysis step, if there are abnormal fluctuations in the ambient light intensity or traffic flow data, including an instantaneous change in ambient light intensity exceeding ±20lux or a sudden increase or decrease in traffic flow exceeding 50%, the control module uses a data smoothing algorithm to process the data, including a sliding average algorithm, and takes the average of the most recent 5-10 data points as the current valid data. At the same time, the system will record and analyze the abnormal data. If the abnormal data occurs frequently or lasts for a long time, an alarm will be issued to notify maintenance personnel to check whether the relevant sensors or equipment are faulty.

[0027] Furthermore, in the remote monitoring step, when the remote monitoring center receives reports of abnormal energy consumption of multiple road sections, the system automatically starts a troubleshooting program; first, the operating status of the ambient light detection module, traffic flow monitoring module and LED light group driver module of each road section is checked, and possible fault sources are determined through data comparison and diagnosis algorithms, including a failure of the LED light group driver module of a certain road section resulting in excessive energy consumption, a fault diagnosis report is generated and maintenance personnel are notified; during the troubleshooting process, the light group of the faulty section is remotely controlled to perform some simple test operations, including switching different brightness levels and turning the light group on or off, to further assist in determining the cause of the fault.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] It has achieved excellent results in energy saving and consumption reduction. The ambient light detection module accurately senses the ambient light intensity, and the traffic flow monitoring module is combined to grasp the road traffic conditions in real time. The control module intelligently adjusts the brightness of the LED light group based on these data. In the middle of the night when there are few cars and the ambient light is good, the brightness of the light group can be greatly reduced, such as adjusting it to a minimum of 10%, effectively reducing unnecessary power consumption. According to actual tests, compared with the traditional fixed lighting mode, the energy saving rate can reach 30%-50%, which greatly reduces the energy burden of the city and helps achieve the goal of energy conservation and emission reduction.

[0030] The lighting quality and comfort level are significantly improved. The system adjusts lighting based on multiple factors, avoiding glare caused by excessively bright street lamps when the ambient light is strong, and providing sufficient lighting during busy traffic hours. For example, on rainy or foggy days, the weather information acquisition module automatically increases the brightness of the lamp group and switches to fog lamp mode, ensuring clear visibility of the road, improving the visual comfort and safety of pedestrians and drivers, and reducing the risk of traffic accidents.

[0031] Intelligent maintenance and management make operation more reliable. The wireless communication module realizes the information exchange between the lighting system and the remote monitoring center. The remote monitoring center can obtain the operating status data of the lighting groups in each section in real time, such as energy consumption, brightness, etc. Once an energy consumption abnormality occurs, such as the energy consumption of a certain section of road exceeds the average energy consumption of the same type of section by more than 30%, the fault troubleshooting program will automatically start, and the fault source can be quickly located. The fault troubleshooting accuracy rate is not less than 80%, which greatly shortens the maintenance time of street lamp failures, improves the maintenance efficiency of the lighting system, ensures the stable operation of urban lighting, and reduces the inconvenience caused by lighting failures to urban life and transportation. At the same time, the modular design and intelligent algorithm of the system also facilitate subsequent function upgrades and optimizations, adapt to the city's ever-evolving lighting needs, and promote urban lighting to move towards intelligence and greenness. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 A schematic block diagram of an energy-saving lighting control system for an urban lighting LED lamp group proposed by the present invention;

[0033] Figure 2 This is a schematic block diagram of an energy-saving lighting control method for an urban lighting LED lamp group proposed by the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0036] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined. In addition, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, and it can be the internal connection of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0037] Reference Figure 1-2 :An energy-saving lighting control system for urban lighting LED lamp groups, comprising:

[0038] Ambient light detection module: It uses a high-precision photosensor with a spectral response range of 380nm-780nm. It can sense the ambient light intensity with a measurement accuracy of ±5lux. It can transmit the ambient light intensity data to the control module in real time with a transmission frequency of 1Hz-10Hz, providing a basis for the system to adjust the lighting according to the changes in ambient light. The photosensor uses a special optical filter to effectively reduce stray light interference and improve the accuracy of light intensity measurement. At the same time, the sensor integrates a temperature compensation circuit to maintain the stability of the measurement accuracy within the ambient temperature range of -20℃-60℃, with a compensation accuracy of ±3lux.

[0039] Traffic flow monitoring module: Use geomagnetic sensors or camera image recognition technology to monitor road vehicle flow and speed. The sensing accuracy of the geomagnetic sensor is ±0.1 vehicle / minute, and the camera image recognition accuracy is not less than 90%. It can distinguish different types of vehicles and count the number, and transmit traffic flow data to the control module. The data update cycle is 1 minute to 5 minutes, so that the system can intelligently adjust the lighting according to traffic conditions. When using camera image recognition, the camera is equipped with a high-performance image processor and uses deep learning algorithms for vehicle identification and tracking. It can accurately identify vehicles in complex traffic scenes, and the camera has autofocus and anti-shake functions to ensure clear and stable images.

[0040] Time period division module: The built-in high-precision clock chip can accurately obtain the current time information, and divide a day into multiple lighting periods according to the preset time period division rules, such as peak hours (morning and evening traffic rush hours), off-peak hours, late night hours, etc. The time error of time period division does not exceed ±1 minute, and different time periods can correspond to different lighting strategies, providing a basis for the system to adjust lighting according to time factors. The clock chip has an automatic time calibration function, and regularly synchronizes with the standard time server through the Network Time Protocol (NTP) to ensure the accuracy of time.

[0041] Weather information acquisition module: connect to the meteorological data service platform through the network to obtain local weather information, including weather conditions such as cloudy, rainy, snowy, foggy, and visibility data, etc. The data update frequency is 30 minutes to 60 minutes. According to the weather information, the system can automatically adjust the brightness and lighting mode of the LED light group under severe weather conditions, such as foggy and rainy days, such as increasing the lighting brightness and turning on the fog light mode (specific angle and light intensity distribution) to improve road visibility and ensure traffic safety.

[0042] Control module: It is composed of a high-performance microprocessor and runs a special lighting control algorithm. It can receive data from the ambient light detection module, traffic flow monitoring module, time period division module and weather information acquisition module. According to the preset energy-saving strategy, if the ambient light intensity is higher than 30lux and the traffic volume is less than 5 vehicles / minute, the brightness of the LED light group is automatically reduced. The control signal output delay time is less than 0.5 seconds, and the switching, brightness adjustment and other operations of the LED light group are accurately controlled. The microprocessor adopts a multi-core architecture with a main frequency of not less than 1GHz. It has powerful data processing capabilities and can quickly respond to data changes in each module and generate control instructions. At the same time, the control module also has a data storage function, which can store data such as ambient light intensity, traffic flow, weather information, etc. for the past 7 days, which is convenient for subsequent data analysis and troubleshooting;

[0043] The formula for calculating the lighting demand level in the lighting control algorithm is: L demand =α×E+β×T+γ×W+δ×H, where L demand Indicates the lighting requirement level, E indicates the normalized value of ambient light intensity, ranging from 0 to 1, and is calculated by the formula Calculation, I is the actual ambient light intensity, I min and I max are the minimum and maximum values ​​of the ambient light intensity respectively; T represents the normalized value of traffic flow, ranging from 0 to 1, and is calculated by the formula Calculation, F is the actual traffic flow, F min and F maxare the minimum and maximum values ​​of traffic flow respectively; W is the weather influence factor, which is determined according to different weather conditions, such as 0 for sunny days, 0.3 for rainy days, 0.5 for foggy days, etc.; H is the time period influence factor, which is 1 for peak hours, 0.6 for off-peak hours, and 0.2 for late night hours; α, β, γ, and δ are weight coefficients, which are 0.3, 0.3, 0.2, and 0.2 respectively, and can be adjusted according to the actual application scenario. The formula for determining the brightness adjustment ratio of the LED light group according to the lighting demand level is: ratio =a×L demand +b, where B ratio It indicates the brightness adjustment ratio, and its value range is 0.1-1. a and b are coefficients, which are 0.4 and 0.1 respectively, and can be adjusted according to the characteristics of the lamp group.

[0044] LED lamp group driver module: constant current driver chip is used, and the driving current accuracy is within ±2%. The output current can be adjusted according to the command of the control module, so as to realize the linear adjustment of the brightness of the LED lamp group. The adjustment range is 10%-100%, which ensures the stable and efficient operation of the LED lamp group under different working conditions, and has over-current, over-voltage and over-heat protection functions, and the protection response time is less than 10 milliseconds. The driver chip adopts advanced pulse width modulation (PWM) technology, and accurately controls the output current by adjusting the duty cycle of the PWM signal. The PWM frequency can be adjusted between 1kHz-10kHz, which effectively reduces the current ripple and improves the luminous stability and service life of the LED lamp group.

[0045] Wireless communication module: supports Wi-Fi, Bluetooth or 4G / 5G communication protocols, and can transmit system operation status data, such as lamp brightness, energy consumption, ambient light intensity, traffic flow and other information to the remote monitoring center. The data transmission rate is not less than 1Mbps. At the same time, it receives control instructions from the remote monitoring center to achieve remote monitoring and management. The signal coverage radius of the communication module is not less than 1 km. The wireless communication module adopts intelligent antenna technology, which can automatically adjust the antenna direction and gain according to the signal strength to ensure stable and reliable communication connection in complex urban environments. It also has data encryption function and uses the Advanced Encryption Standard (AES) algorithm to encrypt the transmitted data to ensure data security.

[0046] In the present invention, the ambient light detection module is equipped with an automatic calibration function, which automatically calibrates the sensor zero point every 24 hours, and the calibration error is less than ±2lux, ensuring the long-term stability of the accuracy of ambient light measurement, and the sensor housing is made of UV-proof, waterproof and dust-proof materials, with a protection level of IP65, which prolongs the service life of the sensor. The automatic calibration process uses a standard light source for comparative calibration, and the light intensity stability of the standard light source is within ±1lux. During the calibration process, the system automatically detects the working status of the sensor, such as whether the parameters such as photoelectric conversion efficiency and signal amplification are normal, and issues an alarm in time if an abnormality is found.

[0047] In the present invention, the camera of the traffic flow monitoring module adopts a high-definition low-light camera with a resolution of not less than 1080p and a minimum illumination of 0.01lux, which can clearly identify vehicles at night and under low-light conditions, and the camera has an intelligent fill light function, which automatically turns on the fill light when the ambient light is insufficient, and the fill light intensity can be automatically adjusted according to the ambient light to avoid interference with the driver's vision. The fill light adopts a high color rendering LED light source with a color rendering index of not less than 80, which can truly restore the vehicle color and road scene, and the fill light angle can be automatically adjusted according to the camera shooting range to ensure that the light evenly covers the monitoring area.

[0048] In the present invention, the lighting control algorithm of the control module adopts a fuzzy logic control algorithm, taking multiple factors such as ambient light intensity, traffic flow, time, and weather conditions as input variables, and obtaining the optimal brightness output value of the LED light group through fuzzy reasoning, so that the lighting control is more intelligent and humanized, and the balance between energy saving effect and lighting comfort is improved. The fuzzy rule library of the fuzzy logic control algorithm can be optimized and adjusted according to the actual application scenario, such as adjusting the influence weight of each input variable on the output brightness according to factors such as traffic characteristics and climatic conditions in different cities, and the algorithm has a self-learning function, and can continuously optimize the fuzzy rules according to historical data and user feedback to improve control accuracy.

[0049] In the present invention, the LED lamp group driving module adopts a high-efficiency switching power supply topology structure, and the power conversion efficiency is not less than 90%, which reduces energy loss, and integrates a temperature sensor inside the driving module to monitor the chip temperature in real time. When the temperature exceeds 80°C, the output current is automatically reduced to prevent the driver chip from being damaged due to overheating, thereby ensuring safe and reliable operation of the system. The switching power supply topology structure adopts synchronous rectification technology, which can further improve the power conversion efficiency, and the driving module has a soft start function, which gradually increases the output current at startup to avoid impact on the LED lamp group and extend the service life of the LED lamp group.

[0050] The present invention discloses an energy-saving lighting control method for an urban lighting LED lamp group, comprising the following steps:

[0051] Data collection steps: The ambient light detection module and the traffic flow monitoring module respectively collect ambient light intensity data and traffic flow data in real time, the time period division module obtains the current time information, and the weather information acquisition module obtains weather condition data. The data collection frequency and accuracy meet the system requirements, and the collected data is transmitted to the control module.

[0052] Data analysis steps: After receiving the data, the control module analyzes the ambient light intensity, traffic flow, time, weather conditions and other data according to the preset algorithm. For example, determine whether the ambient light intensity is higher than the preset threshold, whether the traffic flow is in a low-peak state, what lighting period the current period belongs to, whether the weather affects road visibility, etc., to determine the current lighting demand level. The lighting demand level is divided into 1-5 levels, 1 for the lowest lighting demand (such as late at night with very little traffic), 5 for the highest lighting demand (such as bad weather or busy traffic). During the analysis process, the weighted average algorithm is used to process the ambient light intensity data, and the recent data has a higher weight to better reflect the current ambient light change trend; for traffic flow data, a dynamic threshold algorithm is used to automatically adjust the traffic flow threshold according to different time periods and weather conditions to improve the accuracy of lighting control.

[0053] Control instruction generation steps: According to the lighting demand level, the control module generates corresponding control instructions. For example, when the lighting demand level is level 1, an instruction is generated to adjust the brightness of the LED light group to 10% of the minimum brightness; when the lighting demand level is level 3, an instruction is generated to adjust the brightness to 50%, etc. The control instruction generation time is less than 0.1 seconds. When generating control instructions, the cumulative lighting time of the LED light group is also considered. When the cumulative lighting time is long, the brightness is appropriately reduced to extend the life of the light group. For example, for every 1,000 hours of cumulative lighting, the brightness corresponding to the current lighting demand level is reduced by 5%.

[0054] Light group control steps: The LED light group driver module receives the command of the control module, adjusts the output current, and realizes precise control of the brightness of the LED light group, so that the brightness of the light group matches the current lighting needs. During the brightness adjustment process, the light is guaranteed to be flicker-free, the transition is smooth, and the adjustment response time is less than 0.5 seconds. The linear dimming technology is adopted to gradually adjust the driving current according to the control command to avoid the problem of light flickering caused by current mutation, and the voltage and current changes of the LED light group are monitored in real time during the dimming process, and the accuracy and stability of the dimming are ensured through feedback adjustment.

[0055] Remote monitoring steps: The wireless communication module transmits the system's operating status data to the remote monitoring center, which can view the lighting conditions, energy consumption and other information of the lamp groups on each road section in real time. At the same time, it can send remote control instructions to the control module, such as manually adjusting the brightness of the lamp group, setting energy-saving strategy parameters, etc., to achieve centralized management and remote control of the urban lighting system. The remote monitoring center has data visualization function, which can display the lighting data of each road section in the form of charts, so that managers can intuitively understand the operating status of the lighting system, and can generate reports to perform statistical analysis on data such as energy consumption and lighting duration, providing data support for the optimization and upgrading of the lighting system.

[0056] In the present invention, in the data analysis step, if the ambient light intensity or traffic flow data fluctuates abnormally, such as the ambient light intensity changes by more than ±20lux or the traffic flow suddenly increases or decreases by more than 50%, the control module processes the data using a data smoothing algorithm, such as a sliding average algorithm, taking the average of the last 5-10 data points as the current valid data to avoid lighting control malfunctions due to abnormal data and ensure the stability of lighting control. At the same time, the system will record and analyze the abnormal data, and if the abnormal data occurs frequently or lasts for a long time, an alarm will be issued to notify maintenance personnel to check whether the relevant sensors or equipment are faulty.

[0057] In the present invention, in the remote monitoring step, when the remote monitoring center receives abnormal energy consumption reports of multiple road sections, if the energy consumption exceeds the average energy consumption of the same type of road sections by more than 30%, the system automatically starts the troubleshooting program. First, check the operating status of the ambient light detection module, traffic flow monitoring module and LED light group drive module of each road section, and determine the possible source of the fault through data comparison and diagnosis algorithm. For example, if the LED light group drive module of a certain road section fails and causes excessive energy consumption, generate a fault diagnosis report and notify the maintenance personnel. The fault troubleshooting accuracy is not less than 80%, thereby improving the maintenance efficiency of the urban lighting system. During the troubleshooting process, the light group of the faulty road section can be remotely controlled to perform some simple test operations, such as switching different brightness levels, turning on or off the light group, etc., to further assist in determining the cause of the fault, and the maintenance personnel can receive the fault diagnosis report and maintenance task arrangement through the mobile terminal, so as to facilitate and carry out maintenance work in a timely manner.

[0058] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An energy-saving lighting control system for urban lighting LED lamp groups, characterized in that: include: Ambient light detection module: It uses a high-precision photosensor to provide a basis for the system to adjust the lighting according to changes in ambient light. The photosensor uses an optical filter and has a temperature compensation circuit integrated inside the sensor. Traffic flow monitoring module: uses geomagnetic sensors or camera image recognition technology to monitor road vehicle flow and speed, distinguish different vehicle models and count the number, and transmit traffic flow data to the control module. When camera image recognition is used, the camera is equipped with a high-performance image processor and uses deep learning algorithms for vehicle identification and tracking. It can accurately identify vehicles in complex traffic scenes, and the camera has autofocus and anti-shake functions; Time division module: built-in high-precision clock chip, accurately obtains current time information, and divides a day into multiple lighting periods according to the preset time division rules. The clock chip has automatic time calibration function and regularly synchronizes with the standard time server through the network time protocol NTP; Weather information acquisition module: connect to the meteorological data service platform through the network to obtain local weather information, including cloudy, rainy, snowy, foggy weather conditions and visibility data. According to the weather information, the system can automatically adjust the brightness and lighting mode of the LED light group under severe weather conditions, including increasing the lighting brightness and turning on the fog light mode; Control module: It is composed of a high-performance microprocessor, runs a special lighting control algorithm, receives data from the ambient light detection module, traffic flow monitoring module, time period division module and weather information acquisition module, and automatically reduces the brightness of the LED light group according to the preset energy-saving strategy, including when the ambient light intensity is higher than 30lux and the traffic volume is less than 5 vehicles / minute. The control signal output delay time is less than 0.5 seconds, and controls the switching and brightness adjustment operations of the LED light group. The microprocessor adopts a multi-core architecture, and the control module also has a data storage function; LED lamp group drive module: adopts constant current drive chip, adjusts the output current according to the command of the control module, realizes linear adjustment of the brightness of the LED lamp group, and has over-current, over-voltage and over-heat protection functions; the drive chip adopts advanced pulse width modulation PWM technology, and accurately controls the output current by adjusting the duty cycle of the PWM signal; Wireless communication module: supports Wi-Fi, Bluetooth or 4G / 5G communication protocols, transmits the system's operating status data, including lamp group brightness, energy consumption, ambient light intensity, and traffic flow information to the remote monitoring center, and receives control instructions from the remote monitoring center to achieve remote monitoring and management. The wireless communication module uses intelligent antenna technology to automatically adjust the antenna direction and gain according to the signal strength, and has data encryption function, using the Advanced Encryption Standard AES algorithm to encrypt the transmitted data.

2. The energy-saving lighting control system of the urban lighting LED lamp group according to claim 1 is characterized in that: The ambient light detection module is equipped with an automatic calibration function, which automatically calibrates the sensor zero point every 24 hours. The calibration error is less than ±2lux, ensuring the long-term stability of the accuracy of ambient light measurement. The sensor housing is made of UV-proof, waterproof and dust-proof materials, with a protection level of IP65, which extends the service life of the sensor. The automatic calibration process uses a standard light source for comparative calibration. The light intensity stability of the standard light source is within ±1lux. During the calibration process, the system will automatically detect the working status of the sensor, including whether parameters such as photoelectric conversion efficiency and signal amplification factor are normal. If any abnormality is found, an alarm will be issued in time.

3. The energy-saving lighting control system of the urban lighting LED lamp group according to claim 1 is characterized in that: The camera of the traffic flow monitoring module adopts a high-definition low-light camera with a resolution of not less than 1080p and a minimum illumination of 0.01lux. It can clearly identify vehicles at night and in low-light conditions, and the camera has an intelligent fill light function. When the ambient light is insufficient, the fill light is automatically turned on. The fill light intensity can be automatically adjusted according to the ambient light to avoid interfering with the driver's vision. The fill light adopts a high-color rendering LED light source with a color rendering index of not less than 80, which can truly restore the vehicle color and road scene, and the fill light angle can be automatically adjusted according to the camera shooting range.

4. The energy-saving lighting control system of the urban lighting LED lamp group according to claim 1 is characterized in that: The lighting control algorithm of the control module adopts a fuzzy logic control algorithm, which takes multiple factors such as ambient light intensity, traffic flow, time, and weather conditions as input variables, and obtains the optimal brightness output value of the LED light group through fuzzy reasoning. The fuzzy rule library of the fuzzy logic control algorithm is optimized and adjusted according to the actual application scenario, including adjusting the influence weight of each input variable on the output brightness according to the traffic characteristics and climatic conditions of different cities. The algorithm also has a self-learning function, which continuously optimizes the fuzzy rules according to historical data and user feedback to improve control accuracy.

5. The energy-saving lighting control system of the urban lighting LED lamp group according to claim 1 is characterized in that: The LED lamp group driving module adopts a high-efficiency switching power supply topology structure, and the power conversion efficiency is not less than 90%, which reduces energy loss. A temperature sensor is integrated inside the driving module to monitor the chip temperature in real time. When the temperature exceeds 80°C, the output current is automatically reduced. The switching power supply topology structure adopts synchronous rectification technology, and the driving module has a soft start function, which gradually increases the output current during startup.

6. An energy-saving lighting control method using the urban lighting LED lamp group according to any one of claims 1 to 5, characterized in that: The following steps are involved: Data collection steps: The ambient light detection module and the traffic flow monitoring module respectively collect ambient light intensity data and traffic flow data in real time, the time period division module obtains the current time information, and the weather information acquisition module obtains the weather condition data. The data collection frequency and accuracy meet the system requirements, and the collected data is transmitted to the control module; Data analysis steps: After receiving the data, the control module analyzes the ambient light intensity, traffic flow, time, and weather condition data according to the preset algorithm, including determining whether the ambient light intensity is higher than the preset threshold, whether the traffic flow is in a low-peak state, what lighting period the current period belongs to, whether the weather affects road visibility, etc., to determine the current lighting demand level, which is divided into 1-5 levels. During the analysis process, the weighted average algorithm is used to process the ambient light intensity data; the dynamic threshold algorithm is used to automatically adjust the traffic flow threshold according to different time periods and weather conditions. Control instruction generation step: according to the lighting demand level, the control module generates corresponding control instructions, such as when the lighting demand level is level 1, it generates an instruction to adjust the brightness of the LED light group to 10% of the minimum brightness; when the lighting demand level is level 3, it generates an instruction to adjust the brightness to 50%, etc. The control instruction generation time is less than 0.1 seconds; when generating control instructions, the cumulative lighting time of the LED light group is also considered. When the cumulative lighting time is long, the brightness is reduced to extend the life of the light group. Specifically, for every 1,000 hours of cumulative lighting, the brightness corresponding to the current lighting demand level is reduced by 5%; Light group control steps: The LED light group driver module receives the command of the control module, adjusts the output current, and controls the brightness of the LED light group, so that the brightness of the light group matches the current lighting demand. During the brightness adjustment process, the light is guaranteed to be flicker-free, the transition is smooth, and the adjustment response time is less than 0.5 seconds; linear dimming technology is used to gradually adjust the driving current according to the control command, and the voltage and current changes of the LED light group are monitored in real time during the dimming process; Remote monitoring steps: The wireless communication module transmits the system's operating status data to the remote monitoring center. The remote monitoring center can view the lighting conditions and energy consumption information of the lamp groups on each road section in real time. At the same time, it can send remote control instructions to the control module, including manually adjusting the brightness of the lamp group, setting energy-saving strategy parameters, etc., to achieve centralized management and remote control of the urban lighting system. The remote monitoring center has data visualization function, which can display the lighting data of each road section in the form of charts and generate reports.

7. The energy-saving lighting control method of the urban lighting LED lamp group according to claim 6, in the data analysis step, it is characterized in that: If there are abnormal fluctuations in ambient light intensity or traffic flow data, including instantaneous changes in ambient light intensity exceeding ±20lux or sudden increases or decreases in traffic flow exceeding 50%, the control module uses a data smoothing algorithm to process the data, including a sliding average algorithm, taking the average of the most recent 5-10 data points as the current valid data. At the same time, the system will record and analyze the abnormal data. If the abnormal data occurs frequently or lasts for a long time, an alarm will be issued to notify maintenance personnel to check whether the relevant sensors or equipment are faulty.

8. The energy-saving lighting control method of the urban lighting LED lamp group according to claim 6 is characterized in that: In the remote monitoring step, when the remote monitoring center receives reports of abnormal energy consumption of multiple road sections, the system automatically starts a troubleshooting program; first, the operating status of the ambient light detection module, traffic flow monitoring module and LED light group drive module of each road section is checked, and through data comparison and diagnosis algorithms, possible fault sources are determined, including excessive energy consumption caused by a failure of the LED light group drive module of a certain road section, a fault diagnosis report is generated and maintenance personnel are notified; during the troubleshooting process, the light group of the faulty section is remotely controlled to perform some simple test operations, including switching different brightness levels and turning the light group on or off, to further assist in determining the cause of the fault.

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