CN117042270B - Intelligent street lamp monitoring system and control method thereof - Google Patents
Intelligent street lamp monitoring system and control method thereof Download PDFInfo
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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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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/185—Electrical failure alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and 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
- H05B47/105—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
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/14—Controlling the light source in response to determined parameters by determining electrical parameters of the light source
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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
- H05B47/20—Responsive to malfunctions or to light source life; for protection
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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 aims to provide an intelligent street lamp monitoring system and a control method thereof, so as to realize effective management and real-time monitoring of an operating state of an intelligent street lamp; the intelligent street lamp monitoring system comprises an intelligent street lamp subsystem, a wireless communication subsystem and a remote monitoring subsystem; the intelligent street lamp subsystem is mainly responsible for measuring the ambient brightness, detecting the moving state of the traffic flow, measuring the road illuminance, monitoring the backup power supply system and collecting the position information of equipment; the wireless communication subsystem is a bridge for information interaction between the intelligent street lamp subsystem and the remote monitoring subsystem; the remote monitoring subsystem gathers the data of the intelligent street lamp subsystem and analyzes and processes the data to generate an acousto-optic alarm; the invention has the advantage of greatly enhancing the practicability on the basis of maintaining the basic function of the street lamp.
Description
Technical Field
The invention relates to the technical field of intelligent illumination, in particular to an intelligent street lamp monitoring system and a control method thereof.
Background
Based on the prior technical development, the street lamp system is a main switch for controlling a row of street lamps, and has no other functions with the same switch. The traditional street lamp management control mode gradually exposes a plurality of defects, and specifically comprises the following steps: the traditional street lamp adopts management modes such as manual, light control, clock control and the like, is easily influenced by natural environments such as seasons, weather and the like and human factors, is not lightened when the street lamp is always lightened, is not extinguished when the street lamp is extinguished, and causes energy waste; the street lamp is often operated at the back half night under the condition of super power, so that the electric energy consumption is increased and the service life of the lamp is reduced; the lamp cannot be flexibly turned on and off due to the lack of a real-time monitoring function; this clearly does not correspond to the current trend in smart cities.
The city has a plurality of street lamps, is the most dense city infrastructure, and is convenient for information acquisition and release. The intelligent street lamp is an important information acquisition source of the Internet of things in the future, and the urban intelligent street lamp is an important component part and an important entrance of a smart city, so that the intelligent city and the smart city can be promoted to fall to the ground in the aspect of urban illumination business, and the improvement of the urban and municipal service capacity is realized.
Disclosure of Invention
A series of concepts in simplified form are introduced in the summary section, which will be described in further detail in the detailed description section; the summary of the invention is not intended to define the key features and essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
In order to solve the technical problems, the invention provides an intelligent street lamp monitoring system, which comprises:
an intelligent street lamp subsystem: the intelligent street lamp subsystem is responsible for illumination of the road surface and collection of various control parameters;
a wireless communication subsystem: the intelligent street lamp subsystem is responsible for information intercommunication between the intelligent street lamp subsystem and the remote monitoring subsystem;
remote monitoring subsystem: and the intelligent street lamp subsystem is responsible for processing the data acquired by the intelligent street lamp subsystem and generating alarm information.
Preferably, the intelligent street lamp subsystem comprises:
model construction module: the road lamp switch judging model is responsible for constructing a road lamp switch judging model and is used for judging and referencing the opening or closing of the road lamp;
and a data acquisition module: the system is responsible for sampling the ambient brightness, the traffic flow moving condition, the road illuminance, the gps longitude and latitude and the battery capacity;
the street lamp control module: the street lamp is responsible for sampling data processing of the data acquisition module so as to judge whether the street lamp should be opened or closed;
the backup power module: the backup power supply module is responsible for providing backup power for the intelligent street lamp and converting solar energy into electric energy to be stored.
Preferably, the model building module includes:
the street lamp switch judging model unit comprises: and constructing a street lamp switch judging model by taking preset environment brightness and people flow and traffic flow movement conditions as parameters.
Preferably, the data acquisition module comprises:
an ambient brightness sampling unit: the street lamp control module is responsible for sampling the environment brightness above the street lamp and is used for intelligently judging whether the street lamp needs to be opened or closed or not;
the people stream and traffic flow movement condition acquisition unit: transmitting ultrasonic waves with a certain frequency to the road surface by using a Doppler detector, receiving the reflected ultrasonic waves, comparing the received ultrasonic frequency with the transmitted ultrasonic frequency to judge whether a pedestrian traffic is moving or not, and taking the ultrasonic waves as one of conditions that a street lamp control module intelligently judges whether the street lamp needs to be opened or closed;
Road surface illuminance sampling unit: the illumination light emitted by the street lamp illuminates the road surface, and the road surface illuminance meter is used for sampling the illuminance of the surface and is used as a road surface illuminance processing module for judging the working condition of the street lamp;
gps longitude and latitude sampling unit: the data of the gps positioning equipment is read and used as auxiliary data for street lamp maintenance, so that maintenance personnel can quickly find the specific position of the street lamp to be maintained;
battery capacity acquisition unit: the battery capacity acquisition unit is responsible for measuring the battery capacity of the backup power module so as to judge whether equipment damage caused by overcharge and overdischarge exists in the battery.
Preferably, the ambient brightness sampling unit includes:
the sampling subunit is used for collecting the environment image above the street lamp;
the graying processing subunit is used for graying the environment image to obtain a gray image and acquiring the gray value of each pixel point in the gray image;
the image segmentation unit is used for segmenting the gray image into a plurality of sub-images;
the screening subunit is used for arbitrarily taking one sub-image, and calculating to obtain a first gray average value according to the gray value of each pixel point in the sub-image; respectively comparing the gray values of all the pixel points in the sub-images with a first gray average value, screening out the pixel points with gray values larger than the first gray average value, and generating a first pixel point set;
The first calculating subunit is used for calculating a second gray average value according to the gray values of all the pixels in the first pixel point set; respectively comparing the gray value of each pixel point in the first pixel point set with the second gray average value, determining the difference value between the gray value of each pixel point and the second gray average value, calculating according to a standard deviation formula, and determining the dispersion degree of the first pixel point set;
the second calculating subunit is used for comparing the dispersion of the first pixel point set with a preset dispersion, and determining a second pixel point set if the dispersion of the first pixel point set is smaller than or equal to the preset dispersion; if the dispersion of the first pixel point set is larger than the preset dispersion, removing the pixel point with the largest gray value and the pixel point with the smallest gray value in the first pixel point set, and continuously returning to the first calculating subunit to calculate the dispersion of the first pixel point set until the dispersion of the first pixel point set is smaller than or equal to the preset dispersion;
the iteration unit is used for processing each sub-image based on the method and determining a second pixel point set of each sub-image;
the weight acquisition unit is used for acquiring the number of the pixels in the second pixel point set of each sub-image and the total number of the pixels in the second pixel point set of all the sub-images, and calculating the ratio of the number of the pixels in the second pixel point set of each sub-image to the total number of the second pixels in all the sub-images to obtain a weight coefficient corresponding to each sub-image;
The environment brightness generating unit is used for calculating a third gray average value corresponding to the second pixel point set of each sub-image, carrying out weighted calculation according to the third gray average value of each sub-image and the corresponding weight coefficient to obtain an environment brightness value, and taking the environment brightness value as one of the conditions that the street lamp control module intelligently judges whether to turn on or off the street lamp.
Preferably, the street lamp control module comprises:
street lamp opening or closing judging unit: and using the environment brightness and the traffic flow moving condition as the parameters of a street lamp switch judging model to judge whether the street lamp is on or off and control the street lamp to be on or off.
Preferably, the backup power module includes:
solar energy conversion unit: the solar energy conversion unit is responsible for converting solar energy into electric energy and transmitting the electric energy to the electric energy storage unit;
an electrical energy storage unit: the electric energy storage unit is composed of a plurality of lithium batteries and is responsible for storing the electric energy transmitted by the solar energy conversion unit and providing power supply for other electronic equipment of the street lamp.
Preferably, the remote monitoring subsystem comprises:
road surface illuminance processing module: comparing the road surface illumination collected by all intelligent street lamp subsystems, judging whether data of abnormal road surface illumination exist or not, and transmitting the data to an acousto-optic alarm module if abnormal data exist;
gps longitude and latitude processing module: displaying detailed positioning information of the street lamp on a computer gis graphical interface according to the longitude and latitude data of the street lamp gps acquired from the intelligent street lamp subsystem;
battery capacity processing module: comparing the battery capacity acquired by the intelligent street lamp subsystem with the standard capacity to judge whether the battery equipment is damaged due to overcharge and overdischarge, and if so, reporting the battery equipment damage to an audible and visual alarm unit;
and the sound-light alarm module is used for: the audible and visual alarm module receives alarm information of the road surface illumination processing module and the battery capacity processing module, controls alarm equipment to send out audible and visual alarm, and prompts streetlamp maintenance personnel to maintain the equipment.
The invention provides an intelligent street lamp control method, which comprises the following steps:
s100, collecting data on the environment brightness, the traffic flow moving condition, the road illuminance, the gps positioning and the battery capacity through a sensor arranged on a street lamp post;
s200, the intelligent street lamp monitoring system uses the collected environment brightness and the collected traffic flow movement condition as street lamp switch judging conditions, judges whether a street lamp needs to be turned on or turned off, and controls the street lamp to be turned on or turned off;
s300, the intelligent street lamp subsystem reports the acquired road illuminance, gps positioning longitude and latitude and battery capacity to the remote monitoring subsystem through the wireless communication subsystem;
S400, the remote monitoring subsystem processes road surface illumination, gps positioning longitude and latitude and battery capacity data reported by the wireless communication subsystem.
Preferably, S400 includes:
s410, the remote monitoring subsystem compares the road surface illumination collected by all intelligent street lamp subsystems and judges whether data of abnormal road surface illumination exists or not; the remote monitoring subsystem compares the battery capacity acquired by the intelligent street lamp subsystem with the standard capacity to judge whether the battery equipment is damaged due to overcharge and overdischarge; if abnormal road surface illuminance data exist or battery equipment is damaged, an audible and visual alarm is generated;
s420, the remote monitoring subsystem displays detailed position information of the street lamp on a computer gis graphical interface by using the longitude and latitude data of the street lamp gps acquired by the intelligent street lamp subsystem.
Preferably, S410 includes:
s411, classifying abnormal road surface illumination data and battery equipment damage;
s412, different audible and visual alarm prompts are generated according to different classifications.
The invention provides an intelligent street lamp monitoring system and a control method, which realize remote centralized control of street lamps and control of single street lamps. The street lamp can be remotely and completely turned on/off; the control of a single road section can be realized, so that the intellectualization of the street lamp is realized; the invention also adopts intelligent longitude and latitude measurement and positioning, thereby realizing the rapid maintenance of the equipment. The environment brightness is measured by using the environment brightness sampling unit, and the illumination lamp is intelligently turned on or off by taking the environment brightness as a judging condition, so that the energy consumption is saved, and the environment pollution is reduced; the solar energy is adopted, so that the solar energy is more environment-friendly; it can be seen that the present invention has outstanding substantial features and significant advances over the prior art, as well as the benefits of its implementation.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a schematic structural diagram of an intelligent street lamp monitoring system and a control method thereof according to the present invention.
Fig. 2 is a step diagram of an intelligent street lamp monitoring system and a control method thereof according to the present invention.
Fig. 3 is a schematic diagram of an intelligent street lamp monitoring system and a control method and equipment thereof according to the present invention.
Like reference numerals denote like technical features throughout the drawings, in particular:
1. an electronic equipment box; 2. a backup power module; 3. an ambient brightness sampling unit; 4. a solar energy conversion unit; 5. lighting lamp, 6 Doppler detector, 7 road surface illuminometer.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
As shown in fig. 1, the present invention provides an intelligent street lamp monitoring system, comprising:
an intelligent street lamp subsystem: the intelligent street lamp subsystem is responsible for illumination of the road surface and collection of various control parameters;
a wireless communication subsystem: the intelligent street lamp subsystem is responsible for information intercommunication between the intelligent street lamp subsystem and the remote monitoring subsystem;
remote monitoring subsystem: and the intelligent street lamp subsystem is responsible for processing the data acquired by the intelligent street lamp subsystem and generating alarm information.
The working principle of the technical scheme is as follows: the invention provides an intelligent street lamp monitoring system, which comprises an intelligent street lamp subsystem, wherein an environment brightness sampling unit is arranged at the upper part of an intelligent street lamp and is used for measuring the environment brightness above the intelligent street lamp so as to judge whether the brightness of the current environment is dark to the extent that the street lamp needs to be opened; the method comprises the steps that a Doppler detector is arranged on a lamp post of an intelligent street lamp, ultrasonic waves with a certain frequency are emitted to the road surface of the street lamp, the reflected ultrasonic waves are received, whether people flow and traffic flow on the road surface are moving or not is determined by comparing the frequency of the emitted ultrasonic waves with the frequency of the reflected ultrasonic waves, and whether the street lamp needs to be turned on or off is analyzed by combining the detected environment brightness; a road surface illuminance meter is arranged on a lamp post of the intelligent road lamp to measure the road lamp illuminance of the road surface under the road lamp, the measured road illuminance is reported to a remote monitoring subsystem, and the remote monitoring subsystem collects road surface illuminance data of all intelligent road lamp subsystems and judges whether road lamps with abnormal road surface illuminance exist or not through comparison; the gps positioning equipment is arranged on the lamp post of the intelligent street lamp and used for measuring longitude and latitude data of the intelligent street lamp, the longitude and latitude data are reported to the remote monitoring subsystem through the wireless communication subsystem, and the remote monitoring subsystem can display the position of the street lamp in detail on the interface of the computer gis, so that maintenance personnel can find the position conveniently; the intelligent street lamp is provided with a battery capacity test circuit, the battery in the backup power module is measured, and whether the battery is damaged or not can be judged by the data of the battery capacity, and whether alarm information needs to be issued or not is judged; the wireless communication subsystem is responsible for establishing the connection between the intelligent street lamp subsystem and the remote monitoring subsystem; the remote monitoring subsystem processes the road surface illuminance, gps positioning and battery capacity data sent by the intelligent street lamp subsystem, on one hand, the specific position of the street lamp is displayed in detail on a gis graphical interface, on the other hand, whether the road surface illuminance and battery capacity data are normal or not is judged, and an audible and visual alarm is sent out to prompt maintenance personnel to maintain equipment under abnormal conditions.
The beneficial effects of the technical scheme are as follows: the intelligent street lamp subsystem is provided with an illumination sensor at the upper part of the intelligent street lamp and is responsible for measuring the ambient brightness above the intelligent street lamp so as to judge whether the brightness of the current environment is dark to the extent that the street lamp needs to be turned on, and the street lamp can be turned on when the street lamp needs to be turned on and turned off when the street lamp needs to be turned off by using the ambient brightness data, so that the effect of saving energy is achieved; the intelligent street lamp comprises a street lamp body, wherein a street lamp body is provided with a street lamp cover, a Doppler detector is arranged on the lamp cover of the intelligent street lamp, a certain frequency ultrasonic wave is emitted to the street lamp pavement, the reflected ultrasonic wave is received, whether a passenger flow and a traffic flow are moving on the pavement or not is determined by comparing the frequency of the emitted ultrasonic wave with the frequency of the reflected ultrasonic wave, whether the street lamp needs to be turned on or turned off is analyzed by combining the environment brightness detected by the Doppler detector, the street lamp body mainly has the function of providing illumination for pedestrians and vehicles under the condition that the pedestrians and the vehicles need to be illuminated, a large amount of electric power can be saved when the pedestrians and the vehicles do not need to be turned on, and particularly, a good energy-saving effect can be achieved when the street lamp is intelligently turned off in the late night; the road illumination instrument is arranged on a lamp post of the intelligent road lamp to measure the road lamp illumination of the road under the road lamp, the measured road illumination is reported to the remote monitoring subsystem, the remote monitoring subsystem collects road illumination data of all the intelligent road lamp subsystems and judges whether the road illumination is abnormal or not through comparison, the road lamp can be aged after long-time working, the provided illumination brightness changes along with the aging, human eyes are easy to generate fatigue under the condition that the brightness is not up to the standard for a long time, the road illumination can be ensured to meet the requirement after the road illumination is monitored, and traffic accidents caused by visual fatigue due to the abnormal road illumination are avoided; the gps positioning equipment is arranged on the lamp post of the intelligent street lamp and used for measuring longitude and latitude data of the intelligent street lamp, the longitude and latitude data are reported to the remote monitoring subsystem through the wireless communication subsystem, and the remote monitoring subsystem can display the position of the street lamp in detail on the interface of the computer gis, so that maintenance personnel can find the position conveniently; the intelligent street lamp is provided with a battery capacity test circuit, the battery in the backup power module is measured, and whether the battery is damaged or not can be judged by the data of the battery capacity, and whether alarm information needs to be issued or not is judged, so that the running state of intelligent street lamp equipment can be mastered in time; the wireless communication subsystem is responsible for establishing the connection between the intelligent street lamp subsystem and the remote monitoring subsystem; the remote monitoring subsystem processes the road surface illuminance, gps positioning and battery capacity data sent by the intelligent street lamp subsystem, on one hand, the specific position of the street lamp is displayed in detail on a gis graphical interface, on the other hand, whether the road surface illuminance and battery capacity data are normal or not is judged, and an audible and visual alarm is sent out to prompt maintenance personnel to carry out maintenance of equipment under abnormal conditions, so that the remote monitoring subsystem realizes remote maintenance of the equipment, knows the running condition of the equipment in time, and does not waste manpower to carry out on-site inspection, thereby saving cost.
In one embodiment, an intelligent street lamp subsystem, comprising:
model construction module: the street lamp switching judging model is responsible for constructing a street lamp switching judging model and is used for judging whether the street lamp is switched on or off;
and a data acquisition module: the system is responsible for sampling the ambient brightness, the traffic flow moving condition, the road illuminance, the gps longitude and latitude and the battery capacity;
the street lamp control module: the street lamp is responsible for sampling data processing of the data acquisition module so as to judge whether the street lamp should be opened or closed;
the backup power module: the backup power supply module is responsible for providing backup power for the intelligent street lamp and converting solar energy into electric energy to be stored.
The working principle of the technical scheme is as follows: the model construction module constructs an intelligent street lamp opening or closing strategy according to different environment brightness and people flow and traffic movement conditions and time, and is used as a reference for actual intelligent street lamp opening or closing; the data acquisition module is provided with an illumination sensor at the upper part of the intelligent street lamp and is responsible for measuring the ambient brightness above the intelligent street lamp so as to judge whether the brightness of the current environment is dark to the extent that the street lamp needs to be opened; the method comprises the steps that a Doppler detector is arranged on a lamp post of an intelligent street lamp, ultrasonic waves with a certain frequency are emitted to the road surface of the street lamp, the reflected ultrasonic waves are received, whether people flow and traffic flow on the road surface are moving or not is determined by comparing the frequency of the emitted ultrasonic waves with the frequency of the reflected ultrasonic waves, and whether the street lamp needs to be turned on or off is analyzed by combining the detected environment brightness; a road surface illuminometer is arranged on a lamp post of the intelligent road lamp to measure the road lamp illuminance of the road surface under the road lamp, and the gps positioning equipment is arranged on the lamp post of the intelligent street lamp and used for measuring longitude and latitude data of the intelligent street lamp.
The beneficial effects of the technical scheme are as follows: the model construction module constructs an intelligent street lamp opening or closing strategy according to different environment brightness and people flow and traffic movement conditions and time, and is used as a reference for actual intelligent street lamp opening or closing; the data acquisition module is provided with an illumination sensor at the upper part of the intelligent street lamp and is responsible for measuring the ambient brightness above the intelligent street lamp so as to judge whether the brightness of the current environment is dark to the extent that the street lamp needs to be opened or not, and the street lamp is opened or closed according to the ambient brightness, so that more energy is saved; the Doppler detector is arranged on the lamp post of the intelligent street lamp to emit ultrasonic waves with a certain frequency to the road surface of the street lamp, the reflected ultrasonic waves are received, whether people flow and traffic flow on the road surface are moving or not is determined by comparing the frequency of the emitted ultrasonic waves with the frequency of the reflected ultrasonic waves, whether the street lamp needs to be turned on or off is analyzed by combining the detected environment brightness, whether the street lamp is turned on or off is judged by combining the moving condition of the people flow and traffic flow on the basis of the environment brightness, and electric power can be further saved; the road surface illuminometer is arranged on the lamp post of the intelligent street lamp to measure the street lamp illuminance of the road surface under the street lamp, the running state of the illuminating lamp can be mastered as early as possible to take necessary measures through the real-time measurement of the road surface illuminometer, and the gps positioning equipment is arranged on the lamp post of the intelligent street lamp to be used for measuring the longitude and latitude data of the intelligent street lamp, so that the street lamp maintainer can be facilitated to quickly position the street lamp.
In one embodiment, the model building module comprises:
the street lamp switch judging model unit comprises: and constructing a street lamp switch judging model by taking preset environment brightness and people flow and traffic flow movement conditions as parameters.
The working principle of the technical scheme is as follows: and constructing a street lamp switch judging model by taking preset environment brightness and people flow and traffic flow movement conditions as parameters.
The beneficial effects of the technical scheme are as follows: and the street lamp switch judging module is constructed by taking preset environment brightness and people flow and traffic flow movement conditions as parameters, and takes action on the turn-on or turn-off of the street lamp according to the street lamp switch judging module, so that the street lamp can be operated more reasonably and more energy-saving.
In one embodiment, a data acquisition module includes:
an ambient brightness sampling unit: the street lamp control module is responsible for sampling the environment brightness above the street lamp and is used for intelligently judging whether the street lamp needs to be opened or closed or not;
the people stream and traffic flow movement condition acquisition unit: transmitting ultrasonic waves with a certain frequency to the road surface by using a Doppler detector, receiving the reflected ultrasonic waves, comparing the received ultrasonic frequency with the transmitted ultrasonic frequency to judge whether a pedestrian traffic is moving or not, and taking the ultrasonic waves as one of conditions that a street lamp control module intelligently judges whether the street lamp needs to be opened or closed;
Road surface illuminance sampling unit: the road illumination instrument is used for sampling the road illumination after the illumination light emitted by the road lamp illuminates the road, and the road illumination is used as a condition for judging the working condition of the street lamp by the road illumination processing module;
gps longitude and latitude sampling unit: the data of the gps positioning equipment is read and used as auxiliary data for street lamp maintenance, so that maintenance personnel can quickly find the specific position of the street lamp to be maintained;
battery capacity acquisition unit: the battery capacity acquisition unit is responsible for measuring the battery capacity of the backup power module so as to judge whether equipment damage caused by overcharge and overdischarge exists in the battery.
The working principle of the technical scheme is as follows: the upper part of the intelligent street lamp is provided with an illumination sensor which is responsible for measuring the ambient brightness above the intelligent street lamp so as to judge whether the brightness of the current environment is dark to the extent that the street lamp needs to be opened; a Doppler detector is arranged on a lamp post of the intelligent street lamp to emit ultrasonic waves with a certain frequency to the road surface of the street lamp, the reflected ultrasonic waves are received, and whether people flow and traffic flow on the road surface are moving is determined by comparing the frequency of the emitted ultrasonic waves with the frequency of the reflected ultrasonic waves; a road surface illuminometer is arranged on a lamp post of the intelligent road lamp to measure the illuminance of the road lamp on the road surface under the road lamp; the method comprises the steps that gps positioning equipment is arranged on a lamp post of an intelligent street lamp and used for measuring longitude and latitude data of the intelligent street lamp; a battery capacity test circuit is arranged on the intelligent street lamp and is used for measuring batteries in the backup power supply module;
The beneficial effects of the technical scheme are as follows: the illumination sensor is arranged at the upper part of the intelligent street lamp and is responsible for measuring the ambient brightness above the intelligent street lamp so as to judge whether the brightness of the current environment is dark to the extent that the street lamp needs to be turned on, the street lamp can be turned on when the street lamp needs to be turned on and turned off when the street lamp needs to be turned off due to the ambient brightness data, and the effect of saving energy is achieved; the intelligent street lamp comprises a street lamp body, wherein a street lamp body is provided with a street lamp cover, a Doppler detector is arranged on the lamp cover of the intelligent street lamp, a certain frequency ultrasonic wave is emitted to the street lamp pavement, the reflected ultrasonic wave is received, whether a passenger flow and a traffic flow are moving on the pavement or not is determined by comparing the frequency of the emitted ultrasonic wave with the frequency of the reflected ultrasonic wave, whether the street lamp needs to be turned on or turned off is analyzed by combining the environment brightness detected by the Doppler detector, the street lamp body mainly has the function of providing illumination for pedestrians and vehicles under the condition that the pedestrians and the vehicles need to be illuminated, a large amount of electric power can be saved when the pedestrians and the vehicles do not need to be turned on, and particularly, a good energy-saving effect can be achieved when the street lamp is intelligently turned off in the late night; the road illumination instrument is arranged on a lamp post of the intelligent road lamp to measure the road lamp illumination of the road under the road lamp, the measured road illumination is reported to the remote monitoring subsystem, the remote monitoring subsystem collects road illumination data of all the intelligent road lamp subsystems and judges whether the road illumination is abnormal or not through comparison, the road lamp can be aged after long-time working, the provided illumination brightness changes along with the aging, human eyes are easy to generate fatigue under the condition that the brightness is not up to the standard for a long time, the road illumination can be ensured to meet the requirement after the road illumination is monitored, and traffic accidents caused by visual fatigue due to the abnormal road illumination are avoided; the gps positioning equipment is arranged on the lamp post of the intelligent street lamp and used for measuring longitude and latitude data of the intelligent street lamp, the longitude and latitude data are reported to the remote monitoring subsystem through the wireless communication subsystem, and the remote monitoring subsystem can display the position of the street lamp in detail on the interface of the computer gis, so that maintenance personnel can find the position conveniently; the intelligent street lamp is provided with the battery capacity test circuit, the battery in the backup power module is measured, whether the battery is damaged or not can be judged by the data of the battery capacity, and whether alarm information needs to be issued or not is facilitated, so that the running state of intelligent street lamp equipment can be mastered in time.
In one embodiment, an ambient brightness sampling unit includes:
the sampling subunit is used for collecting the environment image above the street lamp;
the graying processing subunit is used for graying the environment image to obtain a gray image and acquiring the gray value of each pixel point in the gray image;
the image segmentation unit is used for segmenting the gray image into a plurality of sub-images;
the screening subunit is used for arbitrarily taking one sub-image, and calculating to obtain a first gray average value according to the gray value of each pixel point in the sub-image; respectively comparing the gray values of all the pixel points in the sub-images with a first gray average value, screening out the pixel points with gray values larger than the first gray average value, and generating a first pixel point set;
the first calculating subunit is used for calculating a second gray average value according to the gray values of all the pixels in the first pixel point set; respectively comparing the gray value of each pixel point in the first pixel point set with the second gray average value, determining the difference value between the gray value of each pixel point and the second gray average value, calculating according to a standard deviation formula, and determining the dispersion degree of the first pixel point set;
the second calculating subunit is used for comparing the dispersion of the first pixel point set with a preset dispersion, and determining a second pixel point set if the dispersion of the first pixel point set is smaller than or equal to the preset dispersion; if the dispersion of the first pixel point set is larger than the preset dispersion, removing the pixel point with the largest gray value and the pixel point with the smallest gray value in the first pixel point set, and continuously returning to the first calculating subunit to calculate the dispersion of the first pixel point set until the dispersion of the first pixel point set is smaller than or equal to the preset dispersion;
The iteration unit is used for processing each sub-image based on the method and determining a second pixel point set of each sub-image;
the weight acquisition unit is used for acquiring the number of the pixels in the second pixel point set of each sub-image and the total number of the pixels in the second pixel point set of all the sub-images, and calculating the ratio of the number of the pixels in the second pixel point set of each sub-image to the total number of the second pixels in all the sub-images to obtain a weight coefficient corresponding to each sub-image;
the environment brightness generating unit is used for calculating a third gray average value corresponding to the second pixel point set of each sub-image, carrying out weighted calculation according to the third gray average value of each sub-image and the corresponding weight coefficient to obtain an environment brightness value, and taking the environment brightness value as one of the conditions that the street lamp control module intelligently judges whether to turn on or off the street lamp.
In this embodiment, the graying process is to convert the color image into a gray image.
The image graying processing can accelerate the calculation speed of the image processing algorithm to highlight the target area, and in the gray image, the area with higher contrast is more obvious.
In this embodiment, the gray image is divided into a plurality of sub-images, and the image may be uniformly divided into a plurality of equal-ratio images according to the actual situation of the image, or other dividing methods may be adopted according to the actual situation.
The image is divided into a plurality of sub-images for image brightness calculation, and the whole image is compared for calculation in a local calculation mode, so that the error of image calculation can be reduced, and the accuracy of image processing is improved.
In this embodiment, the first gray average value is the average value of gray values of all pixel points in the image.
In the embodiment, the pixel points with the gray values larger than the first gray average value are screened, in the environment image, the brightness value above the central position of the street lamp is better acquired, and the gray values at the edge position of the environment image are removed, so that the environment brightness value can be acquired more accurately.
In this embodiment, the second gray average value is an average value of gray values of each pixel in the first pixel set.
In this embodiment, the standard deviation (Standard Deviation) is most commonly used in probability statistics as a measure of the degree of statistical distribution (statistical dispersion). Standard deviation is defined as the square root of the arithmetic mean of the sum of the standard values of each unit and the square of the mean dispersion. It reflects the degree of inter-individual dispersion within a group. The larger the standard deviation is, the larger the degree of dispersion of the data is; the smaller the standard deviation, the smaller the degree of dispersion of the data.
In short, standard deviation is a measure of the degree to which a set of data averages are scattered. A larger standard deviation represents a larger difference between most of the values and their average values; a smaller standard deviation represents values closer to average.
For example, two A, B groups of 6 students each were tested in the same language, group a had scores of 95, 85, 75, 65, 55, 45, and group b had scores of 73, 72, 71, 69, 68, 67. The average of the two groups was 70, but the standard deviation of group A was about 17.08 points and the standard deviation of group B was about 2.16 points, indicating that the gap between students in group A was much greater than the gap between students in group B.
Standard deviation formula:
s in the formula represents the dispersion of the first pixel point set; x is x i A gray value representing a pixel point in the first pixel point set;representing a second gray level average.
In this embodiment, the preset dispersion is a dispersion standard value preset according to the environmental change condition.
In this embodiment, the second pixel set is a set of pixels whose dispersion of the first pixel set is less than or equal to a preset dispersion.
In this embodiment, the pixel point with the largest gray value and the pixel point with the smallest gray value in the first pixel point set are removed, and the first calculation subunit is continuously returned to calculate the dispersion of the first pixel point set, and the most direct and simplest method, that is, the maximum value-minimum value (that is, the extremely poor) is adopted to evaluate the dispersion of a group of data; this method is most common in daily life, for example, removing the highest score and the lowest score in a game is a very poor specific application; the pixel point with the largest gray value and the pixel point with the smallest gray value in the first pixel point set are removed, so that the dispersion degree of the first pixel point set is changed, and the objective brightness in the sub-image is reflected more favorably.
In this embodiment, the iterative unit is a calculation process of repeatedly screening the first pixel point set to a dispersion less than or equal to a preset dispersion.
In this embodiment, the weight obtaining unit calculates a weight coefficient corresponding to each sub-image.
In this embodiment, the third gray average value is an average value of gray values of pixels in the second pixel set of each sub-image.
In this embodiment, the weighted calculation refers to a method of giving different weights to different data according to their importance and then performing comprehensive calculation on the data when performing statistical analysis.
For example, assuming you have two variables X and Y, with values of 10 and 20, respectively, you can assign different weights to X and Y, based on their importance, such as X weight of 0.3 and Y weight of 0.7, then the result of the weighted calculation is:
10×0.3+20×0.7＝17
in this example, X is less weighted and therefore has less impact on the results of the calculation, while Y is more weighted and therefore has more impact on the results of the calculation.
In statistics, weighted calculation is often used in the fields of comprehensive evaluation, regression analysis, time series analysis and the like, and can help us to better understand and analyze the overall characteristics and variation trend of data.
In this embodiment, the weight coefficient refers to a weight given to different data according to the importance thereof when performing the weight calculation. The larger the weight coefficient is, the higher the importance of the data in calculation is, and the larger the influence on the calculation result is.
For example, assuming you have three variables X, Y and Z, which are 3, 5 and 2, respectively, you can assign them a weight coefficient of 0.3, 0.5 and 0.2, respectively. When weighting calculation is performed, each variable is multiplied by a corresponding weight coefficient, and then added to obtain a final result. In this example, the weight coefficient of Y is the largest, so it is of highest importance in the calculation and has the greatest influence on the calculation result.
The technical beneficial effects are as follows: the image graying processing can accelerate the calculation speed of an image processing algorithm to highlight a target area, in a gray image, the area with higher contrast is more obvious, the image is divided into a plurality of sub-images for image brightness calculation, a local calculation mode is adopted for calculating the whole image, so that the error of image calculation can be reduced, the accuracy of image processing is improved, any sub-image is taken, the gray value of each pixel point in the sub-image is calculated and averaged, the point with smaller gray value at the edge part of the sub-image is deleted, the point with smaller gray value at the edge part influences the target effect on the calculation of the brightness value of the target area, in actual life, the point is more biased to acquire the brightness value of the middle area of the environment image, the point is not the primary factor considered by street lamp illumination, so that the point with unclear image edge is deleted, and the accuracy of the target brightness value is improved; the sub-image pixel points are screened for the first time based on the screening subunit, and the first pixel point set is solved for the dispersion based on the second gray value after screening, so that the gray value range fluctuation of the pixel points in the sub-image is more gentle, and the stability of data in the solving process is improved; the dispersion is calculated using standard deviation formulas, most commonly used in probability statistics as a measure on the degree of statistical distribution (statistical dispersion). Standard deviation is defined as the square root of the arithmetic mean of the sum of the standard values of each unit and the square of the mean dispersion. It reflects the degree of inter-individual dispersion within a group. The result of measuring the distribution degree, the standard deviation is a quantization form which reflects the most commonly used discrete degree of a group of data, and is an important index for representing accuracy; if the dispersion of the first pixel point set is larger than the preset dispersion, removing the pixel point with the largest gray value and the pixel point with the smallest gray value in the first pixel point set, and continuously returning to the first calculation subunit to calculate the dispersion of the first pixel point set until the dispersion of the first pixel point set is smaller than or equal to the preset dispersion, so that the fluctuation range of the brightness value is reduced step by step, the accuracy of finally obtaining the brightness value is improved, and the error range is reduced; and the error of acquiring the brightness value is further reduced by adopting weight weighting calculation.
In the image processing process, firstly, dividing and refining calculation is carried out on the image, so that the first error reduction range is realized; screening and deleting pixel points lower than the first gray average value from the sub-images to realize the second error reduction range; comparing the dispersion of the first pixel point set of the sub-image with a preset dispersion to realize third time error reduction, and carrying out weight analysis on the sub-image to realize fourth time error reduction; carrying out weighted calculation based on the sub-image weight information and the third gray average value of each sub-image to obtain an ambient brightness value, and realizing fifth reduction of the error range; through once to the environmental image narrow error range, more accurate acquisition environmental image's luminance value, calculate based on accurate luminance value and be favorable to improving street lamp switch's sensitivity, have very big beneficial effect in practical application, more be favorable to realizing the intelligent control to the street lamp, improve people's life experience, improve the quality of life, let people really feel the convenience life experience that the science and technology brought.
In one embodiment, a street lamp control module comprises:
street lamp opening or closing judging unit: and using the environment brightness and the traffic flow moving condition as the parameters of a street lamp switch judging model to judge whether the street lamp is on or off and control the street lamp to be on or off.
The working principle of the technical scheme is as follows: using the environment brightness and the traffic flow movement condition as the parameters of a street lamp switch judging model to judge whether the street lamp is on or off and control the street lamp to be on or off;
the beneficial effects of the technical scheme are as follows: the street lamp is judged to be turned on or turned off by taking the environment brightness and the traffic flow movement condition as the street lamp switch judging model parameters, the street lamp is controlled to be turned on or turned off, the street lamp has the main functions of providing illumination for pedestrians and vehicles under the condition that the pedestrians and the vehicles need to be illuminated, the street lamp is not required to be turned on under the condition that the pedestrians and the vehicles are not present, a large amount of electric power can be saved, and particularly, a good energy-saving effect can be achieved when the street lamp is intelligently turned off in the late night.
In one embodiment, a backup power module includes:
solar energy conversion unit: the solar energy conversion unit is responsible for converting solar energy into electric energy and transmitting the electric energy to the electric energy storage unit;
an electrical energy storage unit: the electric energy storage unit is composed of a plurality of lithium batteries and is responsible for storing the electric energy transmitted by the solar energy conversion unit and providing power supply for other electronic equipment of the street lamp.
The working principle of the technical scheme is as follows: when the illumination is sufficient in daytime, the solar panel arranged above the intelligent street lamp converts solar energy into electric energy and stores the electric energy in the electric energy storage unit; providing power to the intelligent street lamp when needed.
The beneficial effects of the technical scheme are as follows: when the illumination is sufficient in daytime, the solar panel arranged above the intelligent street lamp converts solar energy into electric energy and stores the electric energy in the electric energy storage unit; and when the intelligent street lamp is needed, the intelligent street lamp is supplied with power, so that the consumption of fossil power is reduced.
In one embodiment, a remote monitoring subsystem includes:
road surface illuminance processing module: comparing the road surface illumination collected by all intelligent street lamp subsystems, judging whether data of abnormal road surface illumination exist or not, and transmitting the data to an acousto-optic alarm module if abnormal data exist;
gps longitude and latitude processing module: displaying detailed position information of the street lamp on a computer gis graphical interface according to the longitude and latitude data of the street lamp gps acquired from the intelligent street lamp subsystem;
battery capacity processing module: comparing the battery capacity acquired by the intelligent street lamp subsystem with the standard capacity to judge whether the battery equipment is damaged due to overcharge and overdischarge, and if so, reporting the battery equipment damage to an audible and visual alarm unit;
And the sound-light alarm module is used for: the audible and visual alarm module receives alarm information of the road surface illumination processing module and the battery capacity processing module, controls alarm equipment to send out audible and visual alarm, and prompts streetlamp maintenance personnel to maintain the equipment.
The working principle of the technical scheme is as follows: the remote monitoring subsystem judges whether abnormal road surface illuminance data exist by comparing the road surface illuminance data of all intelligent street lamp subsystems, if so, the remote monitoring subsystem reports the abnormal road surface illuminance data to the acousto-optic alarm module to generate alarm information, and judges whether the equipment battery is abnormal by comparing the measured battery capacity with the standard battery capacity, and if so, the remote monitoring subsystem reports the abnormal road surface illuminance data to the acousto-optic alarm module to generate alarm information; the intelligent street lamp is displayed in a detailed position on the interface of the computer gis through longitude and latitude data positioned by gps.
The beneficial effects of the technical scheme are as follows: the remote monitoring subsystem judges whether abnormal road surface illuminance data exist by comparing the road surface illuminance data of all intelligent street lamp subsystems, if so, the remote monitoring subsystem reports the abnormal road surface illuminance data to the acousto-optic alarm module to generate alarm information, and judges whether the equipment battery is abnormal by comparing the measured battery capacity with the standard battery capacity, and if so, the remote monitoring subsystem reports the abnormal road surface illuminance data to the acousto-optic alarm module to generate alarm information; displaying the intelligent street lamp in a detailed position on the interface of the computer gis through longitude and latitude data positioned by gps; the intelligent street lamp control system is convenient for street lamp maintenance personnel to timely know the running state of the intelligent street lamp and quickly locate a specific position.
The invention provides an intelligent street lamp control method, which comprises the following steps:
s100, collecting data on the environment brightness, the traffic flow moving condition, the road illuminance, the gps positioning and the battery capacity through a sensor arranged on a street lamp post;
s200, the intelligent street lamp monitoring system uses the collected environment brightness and the collected traffic flow movement condition as street lamp switch judging conditions, judges whether a street lamp needs to be turned on or turned off, and controls the street lamp to be turned on or turned off;
s300, the intelligent street lamp subsystem reports the acquired road illuminance, gps positioning longitude and latitude and battery capacity to the remote monitoring subsystem through the wireless communication subsystem;
s400, the remote monitoring subsystem processes road surface illumination, gps positioning longitude and latitude and battery capacity data reported by the wireless communication subsystem.
The working principle of the technical scheme is as follows: the intelligent street lamp samples the environment brightness and the traffic flow movement condition so as to judge whether the street lamp needs to be turned on or off, samples the road illuminance, gps positioning and battery capacity, and reports the sampled road illuminance, gps positioning and battery capacity to the remote monitoring subsystem through the wireless communication subsystem.
The beneficial effects of the technical scheme are as follows: the intelligent street lamp samples the environment brightness and the traffic flow moving condition so as to judge whether the street lamp needs to be turned on or turned off, and whether the street lamp is turned on or turned off is determined through the comprehensive judgment of the environment brightness and the traffic flow moving condition, so that better energy saving is realized; the road surface illuminance, gps positioning and battery capacity sampling are reported to the remote monitoring subsystem through the wireless communication subsystem, so that equipment maintenance personnel can know the running condition of equipment more timely and position the equipment more quickly.
In one embodiment, S400 includes:
s410, the remote monitoring subsystem compares the road surface illumination collected by all intelligent street lamp subsystems and judges whether data of abnormal road surface illumination exists or not; the remote monitoring subsystem compares the battery capacity acquired by the intelligent street lamp subsystem with the standard capacity to judge whether the battery equipment is damaged due to overcharge and overdischarge; if abnormal road surface illuminance data exist or battery equipment is damaged, an audible and visual alarm is generated;
s420, the remote monitoring subsystem displays detailed position information of the street lamp on a computer gis graphical interface by using the longitude and latitude data of the street lamp gps acquired by the intelligent street lamp subsystem.
The working principle of the technical scheme is as follows: the remote monitoring subsystem processes the road surface illumination, gps positioning and battery capacity sampling data to generate an alarm prompt.
The beneficial effects of the technology are as follows: the remote monitoring subsystem processes the road surface illuminance, gps positioning and battery capacity sampling data, generates an alarm prompt, and prompts street lamp maintenance personnel to maintain the street lamp with problems in time.
In one embodiment, S410 includes:
s411, classifying abnormal road surface illumination data and battery equipment damage;
S412, different audible and visual alarm prompts are generated according to different classifications.
The working principle of the technical scheme is as follows: the audible and visual alarm module respectively generates different audible and visual alarms for the generated road surface illumination alarm and the battery capacity alarm.
The beneficial effects of the technology are as follows: the audible and visual alarm module respectively generates different audible and visual alarms for the generated road illumination alarm and battery capacity alarm, and is beneficial to maintenance personnel to respectively adopting different coping modes for different alarms.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (7)
1. An intelligent street lamp monitoring system, characterized by comprising:
an intelligent street lamp subsystem: the intelligent street lamp subsystem is responsible for illumination of the road surface and collection of various control parameters;
a wireless communication subsystem: the intelligent street lamp subsystem is responsible for information intercommunication between the intelligent street lamp subsystem and the remote monitoring subsystem;
remote monitoring subsystem: the intelligent street lamp subsystem is responsible for processing data acquired by the intelligent street lamp subsystem and generating alarm information;
An intelligent street lamp subsystem comprising:
model construction module: the street lamp switching judging model is responsible for constructing a street lamp switching judging model and is used for judging whether the street lamp is switched on or off;
and a data acquisition module: the system is responsible for sampling the ambient brightness, the traffic flow moving condition, the road illuminance, the gps longitude and latitude and the battery capacity;
the street lamp control module: the street lamp is responsible for sampling data processing of the data acquisition module so as to judge whether the street lamp should be opened or closed;
the backup power module: the backup power supply module is responsible for providing backup power for the intelligent street lamp and converting solar energy into electric energy to be stored;
a data acquisition module comprising:
an ambient brightness sampling unit: the street lamp control module is responsible for sampling the environment brightness above the street lamp and is used for intelligently judging whether the street lamp needs to be opened or closed or not;
the people stream and traffic flow movement condition acquisition unit: transmitting ultrasonic waves with a certain frequency to the road surface by using a Doppler detector, receiving the reflected ultrasonic waves, comparing the received ultrasonic frequency with the transmitted ultrasonic frequency to judge whether a pedestrian traffic is moving or not, and taking the ultrasonic waves as one of conditions that a street lamp control module intelligently judges whether the street lamp needs to be opened or closed;
Road surface illuminance sampling unit: the street lamp emits illumination light to illuminate the road surface, and the road surface illuminance is sampled by a road surface illuminance meter to be used as a condition for judging the working condition of the street lamp;
gps longitude and latitude sampling unit: the longitude and latitude data of the gps positioning equipment are read and used as auxiliary data for street lamp maintenance;
battery capacity acquisition unit: the battery capacity acquisition unit is responsible for measuring the battery capacity of the backup power module so as to judge whether the battery is damaged due to overcharge and overdischarge;
an ambient brightness sampling unit comprising:
the sampling subunit is used for collecting the environment image above the street lamp;
the graying processing subunit is used for graying the environment image to obtain a gray image and acquiring the gray value of each pixel point in the gray image;
the image segmentation unit is used for segmenting the gray image into a plurality of sub-images;
the screening subunit is used for arbitrarily taking one sub-image, and calculating to obtain a first gray average value according to the gray value of each pixel point in the sub-image; respectively comparing the gray values of all the pixel points in the sub-images with a first gray average value, screening out the pixel points with gray values larger than the first gray average value, and generating a first pixel point set;
The first calculating subunit is used for calculating a second gray average value according to the gray values of all the pixels in the first pixel point set; respectively comparing the gray value of each pixel point in the first pixel point set with the second gray average value, determining the difference value between the gray value of each pixel point and the second gray average value, calculating according to a standard deviation formula, and determining the dispersion degree of the first pixel point set;
the second calculating subunit is used for comparing the dispersion of the first pixel point set with a preset dispersion, and determining a second pixel point set if the dispersion of the first pixel point set is smaller than or equal to the preset dispersion; if the dispersion of the first pixel point set is larger than the preset dispersion, removing the pixel point with the largest gray value and the pixel point with the smallest gray value in the first pixel point set, and continuously returning to the first calculating subunit to calculate the dispersion of the first pixel point set until the dispersion of the first pixel point set is smaller than or equal to the preset dispersion;
the iteration unit is used for processing each sub-image and determining a second pixel point set of each sub-image;
the weight acquisition unit is used for acquiring the number of the pixels in the second pixel point set of each sub-image and the total number of the pixels in the second pixel point set of all the sub-images, and calculating the ratio of the number of the pixels in the second pixel point set of each sub-image to the total number of the second pixels in all the sub-images to obtain a weight coefficient corresponding to each sub-image;
The environment brightness generating unit is used for calculating a third gray average value corresponding to the second pixel point set of each sub-image, carrying out weighted calculation according to the third gray average value of each sub-image and the corresponding weight coefficient to obtain an environment brightness value, and taking the environment brightness value as one of the conditions that the street lamp control module intelligently judges whether to turn on or off the street lamp.
2. The intelligent street lamp monitoring system of claim 1, wherein the model building module comprises:
the street lamp switch judging model unit comprises: and constructing a street lamp switch judging model by taking preset environment brightness and people flow and traffic flow movement conditions as parameters.
3. The intelligent street lamp monitoring system of claim 1, wherein the backup power module comprises:
solar energy conversion unit: the solar energy conversion unit is responsible for converting solar energy into electric energy and transmitting the electric energy to the electric energy storage unit;
an electrical energy storage unit: the electric energy storage unit is composed of a plurality of lithium batteries and is responsible for storing the electric energy transmitted by the solar energy conversion unit and providing power supply for street lamp electronic equipment.
4. The intelligent street lamp monitoring system of claim 1, wherein the remote monitoring subsystem comprises:
Road surface illuminance processing module: comparing the road surface illumination collected by all intelligent street lamp subsystems, judging whether data of abnormal road surface illumination exist or not, and reporting the abnormal data to an acousto-optic alarm module if the abnormal data exist;
gps longitude and latitude processing module: displaying detailed positions of the street lamps on a computer gis graphical interface according to the longitude and latitude data of the street lamps gps acquired from the intelligent street lamp subsystem;
battery capacity processing module: comparing the battery capacity acquired by the intelligent street lamp subsystem with the standard capacity to judge whether the battery equipment is damaged due to overcharge and overdischarge, and if the battery equipment is damaged, reporting the battery equipment to the audible and visual alarm module;
and the sound-light alarm module is used for: the audible and visual alarm module receives alarm information of the road surface illumination processing module and the battery capacity processing module, controls alarm equipment to send out audible and visual alarm, and prompts streetlamp maintenance personnel to maintain the equipment.
5. An intelligent street lamp monitoring method, which is characterized in that the intelligent street lamp monitoring method is applied to the intelligent street lamp monitoring system in claim 1, and comprises the following steps:
s100, collecting data on the environment brightness, the traffic flow moving condition, the road illuminance, the gps positioning and the battery capacity through a sensor arranged on a street lamp post;
S200, the intelligent street lamp monitoring system uses the collected environment brightness and the collected traffic flow movement condition as street lamp switch judging conditions, judges whether a street lamp needs to be turned on or turned off, and controls the street lamp to be turned on or turned off;
s300, the intelligent street lamp subsystem reports the acquired road illuminance, gps positioning longitude and latitude and battery capacity to the remote monitoring subsystem through the wireless communication subsystem;
s400, the remote monitoring subsystem processes road surface illumination, gps positioning longitude and latitude and battery capacity data reported by the wireless communication subsystem.
6. The intelligent street lamp monitoring method according to claim 5, wherein S400 comprises:
s410, the remote monitoring subsystem compares the road surface illumination collected by all intelligent street lamp subsystems and judges whether data of abnormal road surface illumination exists or not; the remote monitoring subsystem compares the battery capacity acquired by the intelligent street lamp subsystem with the standard capacity to judge whether the battery equipment is damaged due to overcharge and overdischarge; if abnormal road surface illuminance data exist or battery equipment is damaged, an audible and visual alarm is generated;
s420, the remote monitoring subsystem displays detailed geographic position information of the street lamp on a computer gis graphical interface by using the longitude and latitude data of the street lamp gps acquired by the intelligent street lamp subsystem.
7. The intelligent street lamp monitoring method of claim 6, wherein S410,
comprising the following steps:
s411, classifying abnormal road surface illumination data alarms and battery equipment damage alarms;
s412, different audible and visual alarm prompts are generated according to different classifications.
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| CN102905434A (en) * | 2012-10-16 | 2013-01-30 | 东莞理工学院 | Intelligent remote wireless road lamp monitoring system and method |
| CN105892422A (en) * | 2016-03-11 | 2016-08-24 | 刘小刚 | Integrated city management and control system |
| CN111315090A (en) * | 2020-02-24 | 2020-06-19 | 广西杰盛科技有限公司 | Wisdom city system based on street lamp |
| CN115767815A (en) * | 2022-11-21 | 2023-03-07 | 广东正力通用电气有限公司 | Intelligent street lamp illumination monitoring terminal system |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102905434A (en) * | 2012-10-16 | 2013-01-30 | 东莞理工学院 | Intelligent remote wireless road lamp monitoring system and method |
| CN105892422A (en) * | 2016-03-11 | 2016-08-24 | 刘小刚 | Integrated city management and control system |
| CN111315090A (en) * | 2020-02-24 | 2020-06-19 | 广西杰盛科技有限公司 | Wisdom city system based on street lamp |
| CN115767815A (en) * | 2022-11-21 | 2023-03-07 | 广东正力通用电气有限公司 | Intelligent street lamp illumination monitoring terminal system |
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