CN112333870A - Wisdom street lamp and control system thereof based on arduino - Google Patents
Wisdom street lamp and control system thereof based on arduino Download PDFInfo
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- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/10—Controlling the intensity of the light
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/10—Controlling the intensity of the light
- H05B45/12—Controlling the intensity of the light using optical feedback
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/30—Driver circuits
- H05B45/32—Pulse-control circuits
- H05B45/325—Pulse-width modulation [PWM]
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/115—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/155—Coordinated control of two or more light sources
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/175—Controlling the light source by remote control
- H05B47/19—Controlling the light source by remote control via wireless transmission
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The invention introduces an intelligent street lamp based on arduino and a control system thereof, and belongs to the technical field of intelligent illumination. The main body of the invention comprises a monitoring terminal host (gateway), a regional street lamp control terminal, a street lamp node controller, a street lamp monitoring center and an embedded street lamp light control model based on fog calculation. The street lamp node controller comprises modules for control, communication, power supply, measurement and the like. The measuring module comprises an infrared motion sensor, a light sensor, an RFID module, a video monitoring module, a temperature sensor and an ultrasonic sensor. The street lamp node controller acquires and processes data of the measurement module, and the monitoring center synthesizes the data of the modules and environmental factors to decide a dimming instruction and sends the dimming instruction to the street lamp node controller. The controller adopts the PLC technology to output PWM waves with a certain duty ratio to adjust the light of the street lamp, and the energy conservation of the lighting system is realized on the basis of meeting the road lighting requirement. The system can monitor the rainwater level and perform early warning on flood disasters.
Description
Technical Field
The invention belongs to the technical field of intelligent illumination, and relates to an intelligent street lamp based on arduino and a control system thereof.
Background
With the deepening of the modernization process and the continuous expansion of the urban scale, the urban street lamp illumination is an indispensable important component in the life of urban residents, and the street lamp illumination cannot be separated in the early morning or at night. In actual operation, the street lamp usually works under the maximum illumination condition overnight, which causes energy waste. Therefore, the intelligent single-lamp control system not only reduces the energy consumption of the street lamps, but also realizes intelligent monitoring of the street lamps, greatly improves the informatization degree, and better accords with the development concept of modern cities.
The current commonly used speed measuring technologies comprise geomagnetic coil speed measurement, laser speed measurement and speed measurement based on video images, and in order to overcome the defects of the speed measuring method, a radio frequency identification technology (RFID) is applied to vehicle detection. According to the running speed of each vehicle, the number of street lamps needing to be turned on is determined in advance, and small-area illumination is achieved. When a vehicle passes through, sufficient illumination is ensured. When the vehicle passes by, the street lamp keeps low illumination or is turned off, so that the energy consumption of the street lamp system is reduced.
In the past, the LDR sensor can cause the delay of the switch of the street lamp and even the failure of the light sense due to the problems of dust, shielding, ageing of a protective cover, failure and the like, and a street lamp light control model based on fog calculation is adopted to solve the problems, so that the management efficiency is improved, and the cost is reduced.
Every year, the rainy season is reached, the masses who live near the river are deeply influenced by flood disasters, in order to reduce the danger of resident living environment, reduce the social economic loss, install ultrasonic sensor on wisdom street lamp so that continuously monitor road surface water level in overcast and rainy weather, thereby carry out the early warning and show the real-time water level in each region to the emergence of flood disasters, make things convenient for government management department to make timely decision to flood control and relief disaster and evacuate and transfer residents to safe areas, guarantee resident safety and reduce the social economic loss.
Disclosure of Invention
The invention aims to provide an intelligent street lamp and a control system thereof for solving the technical defects, the system solves the problem that the brightness of the street lamp is deviated due to failure of an LDR sensor through a street lamp light control model based on fog calculation, realizes that the street lamp adaptively adjusts the brightness according to environmental brightness factors so as to reduce the energy consumption of a street lamp system, and in addition, the system comprises a function of monitoring the water level of an ultrasonic sensor, realizes the function of preventing flood disasters in rainy days, and provides basis for scientific decision of government management departments on the flood disasters.
In order to solve the technical problem, the invention designs an intelligent street lamp based on arduino and a control system thereof, wherein the intelligent street lamp comprises: the system comprises a monitoring center, a gateway (a monitoring terminal host), a regional street lamp control terminal and a street lamp node controller. The monitoring center is connected with the street lamp node controller through the gateway, and sends instructions to the controller to control the operation of the street lamp and adjust the brightness of the street lamp.
The gateway is responsible for communication between the monitoring center and the controller, and the communication is divided into uplink and downlink. The uplink is mainly GPRS communication, and the downlink is mainly 4G/5G/WIFI and other operator mobile networks.
The gateway can realize the control of the street lamp through remote operation by collecting data in the street lamp control box.
The regional street lamp control terminal can connect the street lamp node controllers with the monitoring center and is responsible for managing and monitoring the corresponding street lamp transformers by the street lamp node controllers in one region, so that the specific conditions of the street lamp node controllers and the street lamps can be known at the same time.
The street lamp node controller comprises a control module, a communication module, a power supply module and a measurement module. The control module: arduino/geniuino Uno is a microcontroller board based on ATmega328P for processing various measurement data and transmitting to a monitoring center through a communication module, waiting for a feedback command.
And the communication module of the street lamp controller and the control center adopts 4G/5G wireless network transmission. The power module adopts a solar photovoltaic system to supply power for the lithium battery in the street lamp for lighting of the street lamp, and adopts a city power grid to supply power for the street lamp when the electric quantity of the lithium battery is insufficient in continuous rainy days. The solar photovoltaic array adopts 200W power and 39V output voltage, and adopts a buck converter of an MPPT algorithm based on an incremental conductance method (INC) to adjust to 24V matched with the lithium battery, so as to charge the lithium battery.
The measurement module comprises a PIR sensor, an LDR sensor, an RFID module, a video monitoring module, a temperature sensor and an ultrasonic sensor.
The PIR sensor detects whether vehicles pass through the surrounding environment or not and counts the passing vehicles, and the signals are fed back to the monitoring center through the controller, so that the on-off and brightness change of the street lamp are controlled.
And the LDR sensor controls the on-off and brightness change of the street lamp by detecting the ambient brightness and feeding back data to the control center.
The RFID module automatically identifies running vehicles through radio frequency signals, acquires information such as license plates and the like, realizes detection of different vehicles, and determines the number of street lamps needing to be opened in advance before the vehicles pass through according to the vehicle speed, the safety distance and the pre-starting time.
The monitoring module feeds back the record of the vehicle and the behavior of the passerby to the monitoring center, the monitoring center analyzes and processes the image, and sends out an alarm command in time when finding out dangerous abnormal events such as traffic accidents and the like, and informs the traffic department to arrive at a site to process the events at the first time. Each street lamp is provided with a unique gateway address, so that abnormal events around the street lamps can be quickly positioned, and the processing time is saved.
The temperature sensor continuously detects the temperature of the street lamp, and if the value exceeds 70 ℃, the LED lamp receives the PWM wave with the duty ratio of 60% until the temperature drops again. Through the regulation to LED lamp luminance, can reduce the light decay of LED lamp, prolong its life.
The LED lamp has good color rendering performance and luminous efficiency, is energy-saving and environment-friendly, and is suitable for street lamp illumination.
The street lamp monitoring center is embedded with a street lamp light control model based on fog calculation so as to solve the problem that a LDR sensor is delayed in on-off and even has light sensing failure due to the problems of dust, shielding, ageing of a protective cover, failure and the like.
The controller transmits data of the PIR sensor, the LDR sensor, the RFID module, the video monitoring module and the temperature sensor to the monitoring center through a communication network, the monitoring center sends a dimming instruction to the controller, and then the controller converts the dimming instruction into PWM waves with a certain duty ratio to adjust the brightness of the street lamp.
The controller is arranged in each street lamp control box to collect street lamps and surrounding environment data thereof and control the street lamps.
Drawings
FIG. 1 is a block diagram of a patented system of the invention;
FIG. 2 is a schematic view of a street lamp light control model based on fog calculation;
in fig. 1: 1. a street lamp monitoring center; 2. a gateway (monitoring terminal host); 3. a regional street lamp control terminal; 4. a street lamp node controller; 5. a control module; 6. a communication module; 7. a power supply module; 8. a measurement module; 9. street lamp light control model based on fog calculation.
Detailed Description
The invention is further explained and the specific embodiments are given below with reference to the attached drawings.
As shown in fig. 1, the main body of the invention includes a street lamp monitoring center, a monitoring terminal host (gateway), a regional street lamp control terminal, a street lamp node controller, and the like. The street lamp node controller comprises a control module, a communication module, a power supply module and a measurement module. The measuring module comprises a PIR sensor, an LDR sensor, an RFID module, a video monitoring module, a temperature sensor and an ultrasonic sensor.
The PIR sensor detects vehicles and pedestrians around the street lamp in real time, transmits data to the controller, calculates real-time traffic volume and driving speed by the controller, feeds back the traffic volume and the driving speed to the monitoring center, and sends a dimming instruction to the controller by the monitoring center to regulate and control the street lamp brightness. In the middle of night, roads in some areas are basically few in vehicle passing, if any vehicle is detected in the middle of night, PWM (pulse width modulation) waves with 100% duty ratio are output to control the street lamps for 3 seconds, so that the vehicles can pass, and the street lamps are turned off when no vehicle exists. This duration can be adjusted to balance safety against energy savings.
The LDR sensor detects the brightness of the surrounding environment of the street lamp, converts the brightness value into an illumination value and transmits the illumination value to the controller and the monitoring center, when the environment brightness is higher than a preset threshold value of the system, the street lamp is turned off, otherwise, the street lamp is turned on. Under severe weather such as rain and fog, the visibility of the road surface is not high, and appropriate illumination is provided by combining road traffic volume and driving speed comprehensive decision, so that the traffic safety is guaranteed. When the LDR sensor fails and cannot work, the monitoring center turns on and off the street lamp at the set time according to the sunrise and sunset time and the twenty-four solar terms in each season.
A street lamp light control model based on fog calculation is embedded in a street lamp monitoring center so as to solve the problem that a LDR sensor is delayed in on-off and even fails in light sensing due to dust, shading, ageing of a protective cover, failure and the like. When the receiving illumination of the LDR sensor is lower than the actual environment illumination due to the dust problem, the problem is solved by introducing an analog circuit calibration algorithm for compensation, and the pole climbing and cleaning are not needed. The compensation algorithm is illustrated as follows:
I1＝f(C1)+λ (1)
wherein I1 is the analog circuit current, f (C1) is C1And the actual circuit current under the illumination intensity, lambda is the compensation quantity, and n is the number of the street lamps.
The compensation quantity is obtained by subtracting the actual current of the current street lamp from the average value of the extreme values of the actual current of the nearest surrounding street lamp. Lambda is recorded into the analog circuit as a constant after one-time calculation, and the problem street lamp uses the analog circuit to replace a real circuit.
The steps for realizing the street lamp light control model based on the fog calculation are as follows:
1. after the sensor data are uploaded once, 4 sensors closest to the lamp are obtained through calculation of latitude and longitude parameters of the sensors, whether the sensors are abnormal in data or not is calculated through a set threshold value, if the sensors are abnormal in data, recording is carried out, and meanwhile, the illumination data of surrounding sensors are used for street lamp control.
2. And if multiple data anomalies exist in one day, recording the anomaly times. And judging whether the acquired data keeps a similar linear relation as normal data, if so, judging that the normal illumination is influenced by the existence of dirt or other problems in the sensor, and entering a parameter deviation correction mean value calibration process by the system. If the linear relationship of the data is lost, the sensor is judged to have a large fault, and the data of the adjacent sensors is used for replacing the sensor according to the weighted average of the distances.
3. And repeating the steps 1 and 2 to realize the dynamic optimization operation of the LDR sensor based on the region data.
By the method, the problems of shielding, dirt and damage of the LDR sensor of the street lamp can be solved temporarily, and then unified operation and maintenance arrangement can be performed according to system records, so that the management efficiency is improved, and the cost is reduced.
The idea of obtaining the adjacent position points based on the area information is simplified into road data indexing, a road where the street lamps are located is positioned, a refined index area is established for the road information, and the street lamp area represents the adjacent position. The regional street lamp grouping index method is described as follows:
1. when the street lamp is recorded into the system, the street lamp is numbered and bound with the gateway according to the sequence of the road positions from one end of the road according to the sequence numbering rule of the road.
2. And when the street lamp fails, acquiring the nearest four street lamps with the same numbers under the gateway.
3. And reading the light data of the group street lamps.
4. And calculating the group light data and applying the group light data to an analog circuit of the problem street lamp.
The method is based on database number grouping index, the street and the number of the street lamp are used for determining the adjacent street lamp, the information of the adjacent street lamp on the same road section can be obtained through the numbering rule, and the system performance is saved.
The RFID module automatically identifies RFID running vehicles through radio frequency signals at the road sections with rare traffic at night, acquires information such as license plates and the like, realizes detection of different vehicles, and determines the number of street lamps needing to be opened in advance according to the vehicle speed, the safety distance and the pre-starting time. When a vehicle passes through, sufficient illumination is ensured. When a vehicle passes by, the street lamp keeps low illumination to reduce the energy consumption of a street lamp system, and when the vehicle passes by sporadically at night, a certain number of lamps in front of the vehicle are ensured to be turned on, and the lamps at the tail of the vehicle are turned off after the vehicle passes by, so that the energy consumption is saved.
The video monitoring module feeds back the vehicle and the behavior of the passerby to the monitoring center through tracking and recording, the monitoring center analyzes and processes the image, and an alarm command is sent out once dangerous abnormal events such as traffic accidents are found. Each street lamp is provided with a unique gateway address, so that abnormal events around the street lamps can be quickly positioned, and traffic departments are informed to arrive at the site to process the events at the first time, so that the processing time is saved and the smooth driving of the road is guaranteed.
The temperature sensor continuously detects the temperature of the street lamp, if the temperature value exceeds 70 ℃, the LED lamp receives the PWM wave with the duty ratio of 60% until the temperature is reduced to a proper area. Through the regulation to LED lamp luminance, can reduce the light decay of LED lamp, prolong its life.
The ultrasonic sensor is installed at a certain height on the street lamp pole, the sensor can continuously detect the water level, if the water level value reaches the alarm water level, the ESP8266 Wi-Fi module is used for sending an alarm notice to the control center, and then a management department takes necessary measures to avoid the risk of flood.
The street lamp node controller collects and processes measurement data of the PIR sensor, the LDR sensor, the RFID module, the video monitoring module, the temperature sensor, the ultrasonic sensor and the like, transmits the measurement data to the monitoring center, and the monitoring center integrates the data of the modules and environmental factors to decide a final dimming instruction and sends the final dimming instruction to the street lamp node controller. The controller adjusts the light of the street lamp by outputting the PWM wave with a certain duty ratio to the street lamp, meets the requirement of road lighting by adjusting the light of the street lamp, realizes the energy-saving function of the lighting system, and in addition, the system also provides the functions of detecting the rainwater level and sending an alarm before flood occurs, reduces the social and economic losses, and has good social and economic benefits and application prospects.
Claims (10)
1. An intelligent street lamp based on arduino and a control system thereof are characterized by comprising a street lamp monitoring center, a monitoring terminal host (gateway), a regional street lamp control terminal, a street lamp node controller and the like; the street lamp node controller comprises a control module, a communication module, a power supply module and a measurement module; the street lamp node controller is characterized in that the street lamp node controller collects and processes data of each sensor in the measuring module, transmits the data to the street lamp monitoring center, the street lamp monitoring center synthesizes the data of each module and environmental factors to decide a final dimming instruction, and sends the final dimming instruction to the street lamp node controller, and the controller outputs PWM waves with a certain duty ratio to dim the street lamp until the requirement of road illumination is met, so that the energy-saving maximization of an illumination system is realized; the measuring module is internally provided with an ultrasonic sensor for monitoring the water level of the road surface, so that flood disasters in rainy days are prevented, and the life and property losses of the society and residents are reduced.
2. The intelligent street lamp based on arduino and the control system thereof as claimed in claim 1, wherein the street lamp monitoring center is connected to the street lamp node controller through the monitoring terminal host (gateway) and sends an instruction to the street lamp node controller; the regional street lamp control terminal is used as a bridge beam connected with the street lamp node controller by the street lamp monitoring center, controls the street lamp node controller in one region, simultaneously manages and monitors a street lamp transformer, and simultaneously inquires the street lamp node controller and the street lamp dimming specific operation condition.
3. The intelligent street lamp based on arduino and the control system thereof as claimed in claim 1, wherein a street lamp light control model based on fog calculation is embedded in the street lamp monitoring center to solve the problem of switch delay and even light sensing failure of the street lamp due to dust, shading, aging of a protective cover, failure and the like of an LDR sensor; the street lamp light control model based on the fog calculation adopts an NB-IOT communication technology, the street lamp gateway position is closer to equipment in the street lamp network extension, the data processing amount of the access internet is reduced, the processing time is fast, and the cloud load is reduced; the street lamp light control model based on fog calculation solves the problem of street lamp brightness failure by introducing an analog circuit calibration algorithm for compensation, and the compensation quantity is obtained by subtracting the current street lamp actual current from the nearest peripheral street lamp actual current after the extreme value average is removed; the street lamp light control model based on the fog calculation is grouped and indexed based on the serial number of the database, the position of a nearby street lamp is determined according to the street where the street lamp is located and the serial number, and the information of the adjacent street lamp on the same road section is obtained according to the serial number rule.
4. The intelligent Arduino-based street lamp and the control system thereof as claimed in claim 1, wherein the control module Arduino/geniuino Uno is a microcontroller board based on ATmega328P, for processing various measurement data and transmitting to the street lamp monitoring center through the communication module, waiting for the street lamp monitoring center to feed back commands and controlling the operation of the street lamp.
5. The intelligent street lamp based on arduino and the control system thereof as claimed in claim 1, wherein the communication module is divided into an uplink part and a downlink part: the uplink is that the gateway and the street lamp monitoring center adopt GPRS communication; and the downlink is that the gateway and the street lamp node controller adopt 4G/5G/WIFI and other operator mobile network communication. The power module adopts and supplies power to the lithium cell in the street lamp pole based on solar photovoltaic system and city electric wire netting hybrid system, preferentially consumes solar energy, is supplemented by the electric wire netting when not enough, and surplus solar energy is carried to the electric wire netting, solar photovoltaic system and city electric wire netting hybrid system are right street lamp and control system power supply, street lamp node controller passes through PLC technical control the street lamp operation.
6. The intelligent street lamp based on arduino and the control system thereof as claimed in claim 1, wherein the measuring module comprises a PIR sensor, an LDR sensor, an RFID module, a video monitoring module, a temperature sensor and an ultrasonic sensor; the PIR sensor detects whether vehicles pass through the surrounding environment or not and counts the passing vehicles, and feeds back the passing vehicles to the street lamp controller and the street lamp monitoring center to adjust the brightness of the street lamp according to the traffic flow.
7. The intelligent street lamp based on arduino and the control system thereof as claimed in claim 1, wherein the RFID module automatically identifies the running vehicles through radio frequency signals, obtains information such as license plate numbers, determines the number of street lamps needing to be turned on in advance according to the vehicle speed, the safe distance and the pre-starting time in a late-night traffic-free road section, and then turns off the street lamps after the vehicles pass.
8. The intelligent street lamp based on arduino and the control system thereof as claimed in claim 1, wherein the video monitoring module tracks and records the behavior of vehicles and pedestrians, the video monitoring module is connected to the street lamp monitoring center, the street lamp monitoring center sends out an alarm command to dangerous abnormal events such as traffic accidents, and the like, and the accident location is performed according to the unique gateway address of the street lamp.
9. The intelligent arduino-based street lamp and the control system thereof as claimed in claim 1, wherein the temperature sensor continuously detects the temperature of the street lamp, and reduces the brightness of the street lamp once the temperature exceeds a threshold value, so as to reduce the light attenuation of the LED lamp and prolong the service life thereof.
10. The intelligent street lamp based on arduino and the control system thereof as claimed in claim 1, wherein the ultrasonic sensor continuously detects the water level, if the water level value reaches the warning water level, an alarm notification is sent to the street lamp monitoring center through an ESP8266 WiFi module, and a management department takes necessary measures to avoid the risk of flood occurrence and guarantee the safety of lives and properties of residents.
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Cited By (9)
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| CN114126159A (en) * | 2021-11-12 | 2022-03-01 | 广东海洋大学 | Extreme weather-oriented intelligent street lamp dimming method and system and storage medium |
| CN114222406A (en) * | 2021-11-25 | 2022-03-22 | 深圳市明之辉智慧科技有限公司 | Urban lighting control method, device, equipment and storage medium |
| CN114413216A (en) * | 2022-01-26 | 2022-04-29 | 温州市城南市政建设维修有限公司 | Wisdom street lamp based on traffic flow automatic dimming |
| CN114963087A (en) * | 2022-04-19 | 2022-08-30 | 复旦大学 | Street lamp control method and intelligent street lamp equipment |
| CN115439988A (en) * | 2022-07-20 | 2022-12-06 | 杭州无限环境设计工程有限公司 | City cooperative safety monitoring system based on street lamp networking |
| CN117750590A (en) * | 2024-02-18 | 2024-03-22 | 四川艾贝斯科技发展有限公司 | Street lamp remote control method based on time and illuminance |
| WO2024039326A3 (en) * | 2022-08-17 | 2024-04-11 | İstanbul Geli̇şi̇m Üni̇versi̇tesi̇ | A new system analyzing the road condition and helping the traffic analysis of the road |
| CN117979505A (en) * | 2024-03-25 | 2024-05-03 | 福建力将光智能科技有限公司 | Public lighting network on-line monitoring system |
| CN117979506A (en) * | 2024-03-29 | 2024-05-03 | 深圳永恒光智慧科技集团有限公司 | Energy consumption analysis system for urban illumination street lamp |
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| CN114126159A (en) * | 2021-11-12 | 2022-03-01 | 广东海洋大学 | Extreme weather-oriented intelligent street lamp dimming method and system and storage medium |
| CN114222406A (en) * | 2021-11-25 | 2022-03-22 | 深圳市明之辉智慧科技有限公司 | Urban lighting control method, device, equipment and storage medium |
| CN114222406B (en) * | 2021-11-25 | 2024-05-17 | 深圳市明之辉智慧科技有限公司 | Urban illumination control method, device, equipment and storage medium |
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| CN115439988B (en) * | 2022-07-20 | 2024-04-09 | 杭州无限环境设计工程有限公司 | Urban collaborative safety monitoring system based on street lamp networking |
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| WO2024039326A3 (en) * | 2022-08-17 | 2024-04-11 | İstanbul Geli̇şi̇m Üni̇versi̇tesi̇ | A new system analyzing the road condition and helping the traffic analysis of the road |
| CN117750590A (en) * | 2024-02-18 | 2024-03-22 | 四川艾贝斯科技发展有限公司 | Street lamp remote control method based on time and illuminance |
| CN117979505A (en) * | 2024-03-25 | 2024-05-03 | 福建力将光智能科技有限公司 | Public lighting network on-line monitoring system |
| CN117979506A (en) * | 2024-03-29 | 2024-05-03 | 深圳永恒光智慧科技集团有限公司 | Energy consumption analysis system for urban illumination street lamp |
| CN117979506B (en) * | 2024-03-29 | 2024-06-04 | 深圳永恒光智慧科技集团有限公司 | Energy consumption analysis system for urban illumination street lamp |
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