CN114258178B - Intelligent illumination remote on-line monitoring, regulating and controlling management system for solar street lamp - Google Patents
Intelligent illumination remote on-line monitoring, regulating and controlling management system for solar street lamp Download PDFInfo
- Publication number
- CN114258178B CN114258178B CN202111602635.5A CN202111602635A CN114258178B CN 114258178 B CN114258178 B CN 114258178B CN 202111602635 A CN202111602635 A CN 202111602635A CN 114258178 B CN114258178 B CN 114258178B
- Authority
- CN
- China
- Prior art keywords
- street lamp
- road
- monitored
- lighting
- abnormal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 26
- 230000001105 regulatory effect Effects 0.000 title claims abstract description 26
- 230000001276 controlling effect Effects 0.000 title claims abstract description 24
- 238000005286 illumination Methods 0.000 title claims description 82
- 230000002159 abnormal effect Effects 0.000 claims abstract description 108
- 230000003203 everyday effect Effects 0.000 claims abstract description 20
- 238000001514 detection method Methods 0.000 claims description 34
- 238000004458 analytical method Methods 0.000 claims description 24
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000012216 screening Methods 0.000 claims description 6
- 206010039203 Road traffic accident Diseases 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 230000002354 daily effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- 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
- H05B47/165—Controlling the light source following a pre-assigned programmed sequence; Logic control [LC]
-
- 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
-
- 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
-
- 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
- H05B47/16—Controlling the light source by timing means
-
- 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
-
- 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
Landscapes
- Circuit Arrangement For Electric Light Sources In General (AREA)
Abstract
The invention discloses a solar street lamp intelligent lighting remote on-line monitoring, regulating and controlling management system, which is characterized in that the generated energy of each solar street lamp in a road to be monitored in the day is obtained, the actual total electric quantity of a storage battery corresponding to each solar street lamp is analyzed, the number of days for re-obtaining sunlight charging of each solar street lamp is obtained, the average lighting electric quantity distributed every day before the sunlight charging of each solar street lamp is obtained again is analyzed, each abnormal lighting street lamp in the road to be monitored is compared and screened, the time that the ambient light darkness of each abnormal lighting street lamp reaches the preset lighting darkness is obtained, the expected starting time of each abnormal lighting street lamp is analyzed, the road traffic flow and the ambient brightness of each abnormal lighting street lamp in each starting time period are detected, the corresponding lighting brightness of each abnormal lighting street lamp in each starting time period is calculated, and the corresponding lighting brightness is regulated and controlled, so that the street lamp lighting resources are saved, and the utilization rate of the street lamp lighting resources is improved.
Description
Technical Field
The invention relates to the field of street lamp illumination monitoring regulation and control, in particular to a solar street lamp intelligent illumination remote on-line monitoring regulation and control management system.
Background
With the continuous development of solar technology in China, the solar street lamp occupies a certain share of the market by the unique characteristics. The development of the solar street lamp is a typical performance of the development of the solar power generation technology, and is also a direction of national advocating energy conservation and emission reduction to support clean new energy.
At present, the road solar street lamp has some defects in the specific lighting process:
1. when the conventional solar street lamp provides a lighting function in daily life, the condition of the solar street lamp in the future days is ignored, so that the electric quantity of a storage battery of the solar street lamp cannot be reasonably distributed, the problem that the street lamp cannot be lighted due to insufficient electric quantity of the storage battery in continuous overcast and rainy days in the later period occurs, the trip safety of people at night is seriously influenced, and the occurrence rate of road traffic accidents is increased;
2. the existing solar street lamp basically performs uniform lighting switch control, namely constant-brightness lighting is performed in a fixed switch time period, and the brightness requirement of the surrounding environment of the street lamp in an on time period is not considered, so that the real-time lighting brightness regulation and control of the solar street lamp according to actual requirements cannot be realized, the street lamp lighting resource waste is further caused, the utilization rate of the solar street lamp lighting resource in a road is reduced, and the energy-saving lighting requirement of the road lighting engineering is difficult to meet;
in order to solve the problems, the intelligent illumination remote on-line monitoring, regulating and controlling management system for the solar street lamp is designed.
Disclosure of Invention
The invention aims to provide a solar street lamp intelligent illumination remote on-line monitoring, regulating and controlling management system.
The aim of the invention can be achieved by the following technical scheme:
the invention provides a solar street lamp intelligent illumination remote on-line monitoring, regulating and controlling management system, wherein a solar energy generating capacity acquisition module is connected with an actual total electric quantity analysis module, an analysis server is respectively connected with the actual total electric quantity analysis module, a predicted weather acquisition module and an ambient light darkness detection module, a predicted opening duration analysis module is respectively connected with the ambient light darkness detection module, a road traffic flow detection module and a street lamp surrounding brightness detection module, and a cloud regulating and controlling management platform is respectively connected with the road traffic flow detection module, the street lamp surrounding brightness detection module and a storage database;
the solar energy generating capacity acquisition module is used for numbering positions of all solar street lamps in the road to be monitored according to a set sequence and respectively acquiring the generating capacity of all the solar street lamps in the road to be monitored in the same day;
the actual total electric quantity analysis module is used for extracting the stored electric quantity of the storage battery corresponding to each solar street lamp in the road to be monitored and analyzing the actual total electric quantity of the storage battery corresponding to each solar street lamp in the road to be monitored;
the predicted weather acquisition module is used for acquiring future weather conditions of corresponding areas of the solar street lamps in the road to be monitored to obtain days for the solar street lamps in the road to be monitored to acquire sunlight charging again;
the analysis server is used for calculating the average illumination electric quantity distributed every day before the solar street lamps acquire the solar energy charge again in the road to be monitored, comparing the average illumination electric quantity distributed every day before the solar energy charge again with the illumination electric quantity normally consumed every day by the solar street lamps, screening the solar street lamps which do not meet the normal illumination requirement in the road to be monitored, and recording the solar street lamps as abnormal illumination street lamps in the road to be monitored;
the ambient light darkness detection module is used for detecting ambient light darkness of each abnormal lighting street lamp in the road to be monitored in real time, counting ambient light darkness of each abnormal lighting street lamp in the road to be monitored, and comparing and analyzing time for each abnormal lighting street lamp in the road to be monitored to reach the set lighting darkness;
the estimated opening time length analysis module is used for extracting the light turning-off time of each day of each abnormal lighting street lamp in the latest historical record of the road to be monitored, analyzing the estimated opening time length of each abnormal lighting street lamp in the road to be monitored, and dividing the estimated opening time length into each opening time period in sequence;
the road traffic flow detection module is used for detecting the corresponding road traffic flow of each abnormal lighting street lamp in the road to be monitored in each opening time period, and screening the corresponding road traffic flow grade of each abnormal lighting street lamp in the road to be monitored in each opening time period;
the street lamp surrounding brightness detection module is used for detecting surrounding brightness of each abnormal street lamp in the road to be monitored in each opening time period, and counting the surrounding brightness of each abnormal street lamp in the road to be monitored in each opening time period;
the cloud regulation and control management platform is used for extracting the illumination brightness of the standard street lamp corresponding to each road traffic flow grade stored in the storage database, calculating the illumination brightness corresponding to each abnormal illumination street lamp in the road to be monitored in each on time period, and sequentially carrying out corresponding illumination brightness regulation and control.
Further, the solar energy generating capacity obtaining module includes counting the generating capacity of each solar street lamp in the road to be monitored in the day to form a generating capacity set q of each solar street lamp in the road to be monitored in the day Hair brush a(q Hair brush a 1 ,q Hair brush a 2 ,...,q Hair brush a i ,...,q Hair brush a n )，q Hair brush a i And the generated energy of the ith solar street lamp in the road to be monitored in the day is shown.
Further, the calculation formula of the actual total electric quantity of the storage battery corresponding to each solar street lamp in the road to be monitored is Q Total (S) a i ＝q Hair brush a i +q′ Storage device a i ，Q Total (S) a i The actual total electric quantity of the storage battery corresponding to the ith solar street lamp in the road to be monitored is represented as q' Storage device a i And the stored electric quantity of the storage battery corresponding to the ith solar street lamp in the road to be monitored is shown.
Further, the predicted weather obtaining module obtains future weather conditions of the corresponding areas of the solar street lamps in the road to be monitored by inquiring weather forecast, counts the number of days when the solar street lamps in the road to be monitored obtain sunlight charging again, and forms a number of days collection X (X 1 ,x 2 ,...,x i ,...,x n )，x i And the number of days for the ith solar street lamp to acquire sunlight charging again in the road to be monitored is shown.
Further, the calculation formula of the average illumination electric quantity distributed every day before each solar street lamp in the road to be monitored acquires the sunlight again for charging is as follows And the average illumination electric quantity distributed every day before the sunlight energy charging is obtained again by the ith solar street lamp in the road to be monitored.
Further, the ambient light darkness detection module comprises a plurality of darkness sensors, wherein the darkness sensors are respectively arranged on the solar street lamps, the darkness of the ambient light of each abnormal street lamp in the road to be monitored is detected in real time through the darkness sensors, the ambient light darkness of each abnormal street lamp in the road to be monitored is compared with the set turn-on darkness to obtain the time when the ambient light darkness of each abnormal street lamp in the road to be monitored reaches the set turn-on darkness, and a time set t (t) when the ambient light darkness of each abnormal street lamp in the road to be monitored reaches the set turn-on darkness is formed 1 ,t 2 ,...,t j ,...,t m )，t j And the time when the darkness of the surrounding light of the jth abnormal lighting street lamp in the road to be monitored reaches the preset lighting darkness is indicated.
Further, the expected opening duration analysis module includes the following steps:
s1, extracting the turn-off time of each abnormal lighting street lamp in the road to be monitored in each day in the recent history, and forming a turn-off time set t 'of each abnormal lighting street lamp in the road to be monitored in each day in the recent history' j b(t′ j b 1 ,t′ j b 2 ,...,t′ j b v ,...,t′ j b f )，t′ j b v The lamp turning-off time of the jth abnormal lighting street lamp in the road to be monitored on the (v) th day in the latest history;
s2, analyzing the expected starting time of each abnormal lighting street lamp in the road to be monitoredLong lengthΔt″ j The estimated starting time of the j-th abnormal lighting street lamp in the road to be monitored is represented;
s3, dividing the expected starting time of each abnormal street lamp into each starting time period according to an equi-number dividing mode.
Further, the road traffic flow detection module includes calculating road traffic flow levels corresponding to each abnormal lighting street lamp in the road to be monitored in each opening time period, so as to form a road traffic flow level set W corresponding to each abnormal lighting street lamp in the road to be monitored in each opening time period j T(w j T 1 ,w j T 2 ,...,w j T r ,...,w j T u )，w j T r And representing that the jth abnormal lighting street lamp in the road to be monitored corresponds to the road traffic flow grade in the (r) turn-on time period.
Further, the street lamp ambient brightness detection module comprises an ambient brightness set L for forming each abnormal lighting street lamp in the road to be monitored in each on period j T(L j T 1 ,L j T 2 ,...,L j T r ,...,L j T u )，L j T r And the brightness of the surrounding of the jth abnormal lighting street lamp in the r on period in the road to be monitored is shown.
Further, the calculation formula of the corresponding illumination brightness of each abnormal illumination street lamp in the road to be monitored in each on period is as followsL j ″T r The corresponding illumination brightness of the jth abnormal illumination street lamp in the road to be monitored in the (r) turn-on time period is represented as L Label (C) T r Expressed as standard illumination brightness, lambda of solar street lamp in the (r) th on period r The weight proportion coefficient corresponding to the (r) th on time period of the solar street lamp is expressed as +.>The average illumination electric quantity distributed every day before the sunlight charging is obtained again for the jth abnormal illumination street lamp in the road to be monitored, and T' Label (C) r is the standard time of the solar street lamp in the (r) th on period, μ is the street lamp illumination brightness reduction coefficient, and +.>And the standard illumination brightness corresponding to the road traffic flow grade corresponding to the jth abnormal illumination street lamp in the road to be monitored in the (r) turn-on time period is shown.
The beneficial effects are that:
(1) According to the intelligent illumination remote on-line monitoring, regulating and managing system for the solar street lamps, provided by the invention, the generated energy of each solar street lamp in a road to be monitored in the day is obtained, the actual total electric quantity of the storage battery corresponding to each solar street lamp is analyzed, the number of days for solar charging is obtained again by each solar street lamp, and the average illumination electric quantity distributed every day before the solar charging is obtained again by each solar street lamp is analyzed, so that the reasonable distribution of the electric quantity of the storage battery of the solar street lamp is realized, the solar street lamp can normally illuminate in continuous overcast and rainy days in the later period, the trip safety of people is further ensured, and the occurrence rate of traffic accidents on the road at night is reduced.
(2) According to the invention, the time that the ambient light darkness of each abnormal lighting street lamp reaches the preset lighting darkness is obtained, the expected starting time of each abnormal lighting street lamp is analyzed, a foundation is laid for detecting the ambient data of each abnormal lighting street lamp in each starting time period in the later period, the traffic flow and the ambient brightness of each abnormal lighting street lamp in each starting time period are detected, the corresponding lighting brightness of each abnormal lighting street lamp in each starting time period is calculated, and the corresponding lighting brightness regulation is carried out, so that the real-time lighting brightness regulation of the solar street lamp according to the actual requirements is realized, the street lamp lighting resources are saved, the utilization rate of the solar street lamp lighting resources in the road is improved, and the energy-saving lighting requirements of the road lighting engineering are met.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a solar street lamp intelligent illumination remote on-line monitoring, regulating and controlling management system, wherein a solar energy generating capacity acquisition module is connected with an actual total electric quantity analysis module, an analysis server is respectively connected with the actual total electric quantity analysis module, a predicted weather acquisition module and an ambient light darkness detection module, a predicted opening time length analysis module is respectively connected with the ambient light darkness detection module, a road traffic flow detection module and a street lamp surrounding brightness detection module, and a cloud regulating and controlling management platform is respectively connected with the road traffic flow detection module, the street lamp surrounding brightness detection module and a storage database.
The solar energy generating capacity acquisition module is used for numbering positions of the solar street lamps in the road to be monitored according to a set sequence, respectively acquiring the generating capacity of the solar street lamps in the road to be monitored in the same day, and counting the generating capacity of the solar street lamps in the road to be monitored in the same day to form a generating capacity set q of the solar street lamps in the road to be monitored in the same day Hair brush a(q Hair brush a 1 ,q Hair brush a 2 ,...,q Hair brush a i ,...,q Hair brush a n )，q Hair brush a i And the generated energy of the ith solar street lamp in the road to be monitored in the day is shown.
In this embodiment, the solar power generation amount acquisition module includes a set of position numbers a (a 1 ,a 2 ,...,a i ,...,a n )，a i And the position number of the ith solar street lamp in the road to be monitored is represented.
The actual total electric quantity analysis module is used for extracting the stored electric quantity of the storage battery corresponding to each solar street lamp in the road to be monitored and analyzing the actual total electric quantity of the storage battery corresponding to each solar street lamp in the road to be monitored.
In this embodiment, the calculation formula of the actual total electric quantity of the storage battery corresponding to each solar street lamp in the road to be monitored is Q Total (S) a i ＝q Hair brush a i +q′ Storage device a i ，Q Total (S) a i The actual total electric quantity of the storage battery corresponding to the ith solar street lamp in the road to be monitored is represented as q' Storage device a i And the stored electric quantity of the storage battery corresponding to the ith solar street lamp in the road to be monitored is shown.
The predicted weather acquisition module is used for acquiring future weather conditions of corresponding areas of the solar street lamps in the road to be monitored to obtain days for the solar street lamps in the road to be monitored to acquire sunlight charging again.
In this embodiment, the predicted weather obtaining module obtains future weather conditions of the corresponding areas of each solar street lamp in the road to be monitored by inquiring weather forecast, and counts the number of days when each solar street lamp in the road to be monitored obtains sunlight charging again, so as to form a number of days set X (X 1 ,x 2 ,...,x i ,...,x n )，x i And the number of days for the ith solar street lamp to acquire sunlight charging again in the road to be monitored is shown.
The analysis server is used for calculating the average illumination electric quantity distributed every day before the solar street lamps acquire the sunshine again in the road to be monitored, comparing the average illumination electric quantity distributed every day before the solar street lamps acquire the sunshine again with the illumination electric quantity normally consumed every day by the solar street lamps, screening the solar street lamps which do not meet the normal illumination requirement in the road to be monitored, and recording the solar street lamps as abnormal illumination street lamps in the road to be monitored.
In this embodiment, the calculation formula of the average illumination power distributed daily before each solar street lamp in the road to be monitored acquires the sunlight again for charging is as follows And the average illumination electric quantity distributed every day before the sunlight energy charging is obtained again by the ith solar street lamp in the road to be monitored.
Specifically, the invention analyzes the actual total electric quantity of the storage battery corresponding to each solar street lamp by acquiring the electric quantity of each solar street lamp in the day of the road to be monitored, acquires the day of solar charging again by each solar street lamp, and analyzes the average illumination electric quantity distributed every day before the solar charging again by each solar street lamp, thereby realizing reasonable distribution of the electric quantity of the storage battery of the solar street lamp, ensuring that the solar street lamp can normally illuminate in continuous overcast and rainy days in the later period, further ensuring the trip safety of people at night and reducing the occurrence rate of road traffic accidents.
The ambient light darkness detection module is used for detecting ambient light darkness of each abnormal lighting street lamp in the road to be monitored in real time, counting ambient light darkness of each abnormal lighting street lamp in the road to be monitored, and comparing and analyzing time when the ambient light darkness of each abnormal lighting street lamp in the road to be monitored reaches the set lighting darkness.
In this embodiment, the ambient light darkness detection module includes a plurality of darkness sensors, where the plurality of darkness sensors are respectively installed on each solar street lamp, and the darkness sensors are used to detect the darkness of the ambient light of each abnormal street lamp in the road to be monitored in real time, and to monitor the ambient lightComparing the darkness of the surrounding light of each abnormal lighting street lamp in the road with the set lighting darkness to obtain the time when the darkness of the surrounding light of each abnormal lighting street lamp in the road to be monitored reaches the set lighting darkness, and forming a time set t (t) when the darkness of the surrounding light of each abnormal lighting street lamp in the road to be monitored reaches the set lighting darkness 1 ,t 2 ,...,t j ,...,t m )，t j And the time when the darkness of the surrounding light of the jth abnormal lighting street lamp in the road to be monitored reaches the preset lighting darkness is indicated.
The estimated opening time length analysis module is used for extracting the closing time of each abnormal street lamp in the road to be monitored in each day in the latest historical record, analyzing the estimated opening time length of each abnormal street lamp in the road to be monitored, and dividing the estimated opening time length into opening time periods in sequence.
In this embodiment, the expected opening duration analysis module includes the following steps:
s1, extracting the turn-off time of each abnormal lighting street lamp in the road to be monitored in each day in the recent history, and forming a turn-off time set t 'of each abnormal lighting street lamp in the road to be monitored in each day in the recent history' j b(t′ j b 1 ,t′ j b 2 ,...,t′ j b v ,...,t′ j b f )，t′ j b v The lamp turning-off time of the jth abnormal lighting street lamp in the road to be monitored on the (v) th day in the latest history;
s2, analyzing the expected starting time of each abnormal lighting street lamp in the road to be monitoredΔt″ j The estimated starting time of the j-th abnormal lighting street lamp in the road to be monitored is represented;
s3, dividing the expected starting time of each abnormal street lamp into each starting time period according to an equi-number dividing mode.
Specifically, the method analyzes the expected starting time of each abnormal lighting street lamp by acquiring the time when the ambient light darkness of each abnormal lighting street lamp reaches the preset starting darkness, and lays a foundation for detecting the environmental data of each abnormal lighting street lamp in each starting time period in the later period.
The road traffic flow detection module is used for detecting the corresponding road traffic flow of each abnormal lighting street lamp in the road to be monitored in each opening time period, screening the corresponding road traffic flow grade of each abnormal lighting street lamp in the road to be monitored in each opening time period, and counting the corresponding road traffic flow grade of each abnormal lighting street lamp in the road to be monitored in each opening time period to form a corresponding road traffic flow grade set W of each abnormal lighting street lamp in the road to be monitored in each opening time period j T(w j T 1 ,w j T 2 ,...,w j T r ,...,w j T u )，w j T r And representing that the jth abnormal lighting street lamp in the road to be monitored corresponds to the road traffic flow grade in the (r) turn-on time period.
The street lamp surrounding brightness detection module is used for detecting surrounding brightness of each abnormal street lamp in the road to be monitored in each opening time period, counting the surrounding brightness of each abnormal street lamp in the road to be monitored in each opening time period, and forming a surrounding brightness set L of each abnormal street lamp in the road to be monitored in each opening time period j T(L j T 1 ,L j T 2 ,...,L j T r ,...,L j T u )，L j T r The method comprises the steps that the surrounding brightness of a jth abnormal lighting street lamp in a road to be monitored in an (r) th starting time period is shown;
the cloud regulation and control management platform is used for extracting the illumination brightness of the standard street lamp corresponding to each road traffic flow grade stored in the storage database, calculating the illumination brightness corresponding to each abnormal illumination street lamp in the road to be monitored in each on time period, and sequentially carrying out corresponding illumination brightness regulation and control.
In this embodiment, the calculation formula of the illumination brightness corresponding to each abnormal illumination street lamp in the road to be monitored in each on period is as followsL j ″T r The corresponding illumination brightness of the jth abnormal illumination street lamp in the road to be monitored in the (r) turn-on time period is represented as L Label (C) T r Expressed as standard illumination brightness, lambda of solar street lamp in the (r) th on period r The weight proportion coefficient corresponding to the (r) th on time period of the solar street lamp is expressed as +.>The average illumination electric quantity distributed every day before the sunlight charging is obtained again for the jth abnormal illumination street lamp in the road to be monitored, and T' Label (C) r is the standard time of the solar street lamp in the (r) th on period, μ is the street lamp illumination brightness reduction coefficient, and +.>And the standard illumination brightness corresponding to the road traffic flow grade corresponding to the jth abnormal illumination street lamp in the road to be monitored in the (r) turn-on time period is shown.
Specifically, the invention calculates the corresponding illumination brightness of each abnormal illumination street lamp in each starting time period by detecting the traffic flow and the surrounding brightness of each abnormal illumination street lamp in each starting time period, and carries out corresponding illumination brightness regulation and control, thereby realizing the real-time illumination brightness regulation and control of the solar street lamp according to the actual requirement, further saving street lamp illumination resources, improving the utilization rate of the solar street lamp illumination resources in the road and meeting the energy-saving illumination requirement of the road illumination engineering.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.
Claims (10)
1. A solar street lamp intelligent lighting remote on-line monitoring regulation management system is characterized in that: the solar energy generating capacity acquisition module is connected with the actual total electric quantity analysis module, the analysis server is respectively connected with the actual total electric quantity analysis module, the predicted weather acquisition module and the ambient light darkness detection module, the predicted opening time analysis module is respectively connected with the ambient light darkness detection module, the road traffic flow detection module and the street lamp surrounding brightness detection module, and the cloud regulation management platform is respectively connected with the road traffic flow detection module, the street lamp surrounding brightness detection module and the storage database;
the solar energy generating capacity acquisition module is used for numbering positions of all solar street lamps in the road to be monitored according to a set sequence and respectively acquiring the generating capacity of all the solar street lamps in the road to be monitored in the same day;
the actual total electric quantity analysis module is used for extracting the stored electric quantity of the storage battery corresponding to each solar street lamp in the road to be monitored and analyzing the actual total electric quantity of the storage battery corresponding to each solar street lamp in the road to be monitored;
the predicted weather acquisition module is used for acquiring future weather conditions of corresponding areas of the solar street lamps in the road to be monitored to obtain days for the solar street lamps in the road to be monitored to acquire sunlight charging again;
the analysis server is used for calculating the average illumination electric quantity distributed every day before the solar street lamps acquire the solar energy charge again in the road to be monitored, comparing the average illumination electric quantity distributed every day before the solar energy charge again with the illumination electric quantity normally consumed every day by the solar street lamps, screening the solar street lamps which do not meet the normal illumination requirement in the road to be monitored, and recording the solar street lamps as abnormal illumination street lamps in the road to be monitored;
the ambient light darkness detection module is used for detecting ambient light darkness of each abnormal lighting street lamp in the road to be monitored in real time, counting ambient light darkness of each abnormal lighting street lamp in the road to be monitored, and comparing and analyzing time for each abnormal lighting street lamp in the road to be monitored to reach the set lighting darkness;
the estimated opening time length analysis module is used for extracting the light turning-off time of each day of each abnormal lighting street lamp in the latest historical record of the road to be monitored, analyzing the estimated opening time length of each abnormal lighting street lamp in the road to be monitored, and dividing the estimated opening time length into each opening time period in sequence;
the road traffic flow detection module is used for detecting the corresponding road traffic flow of each abnormal lighting street lamp in the road to be monitored in each opening time period, and screening the corresponding road traffic flow grade of each abnormal lighting street lamp in the road to be monitored in each opening time period;
the street lamp surrounding brightness detection module is used for detecting surrounding brightness of each abnormal street lamp in the road to be monitored in each opening time period, and counting the surrounding brightness of each abnormal street lamp in the road to be monitored in each opening time period;
the cloud regulation and control management platform is used for extracting the illumination brightness of the standard street lamp corresponding to each road traffic flow grade stored in the storage database, calculating the illumination brightness corresponding to each abnormal illumination street lamp in the road to be monitored in each on time period, and sequentially carrying out corresponding illumination brightness regulation and control.
2. The intelligent lighting remote on-line monitoring, regulating and controlling management system for the solar street lamp according to claim 1, wherein the intelligent lighting remote on-line monitoring, regulating and controlling management system is characterized in that: the solar energy generating capacity acquisition module comprises the step of counting the generating capacity of each solar street lamp in the road to be monitored in the day to form a generating capacity set q of each solar street lamp in the road to be monitored in the day Hair brush a(q Hair brush a 1 ,q Hair brush a 2 ,...,q Hair brush a i ,...,q Hair brush a n )，q Hair brush a i And the generated energy of the ith solar street lamp in the road to be monitored in the day is shown.
3. The intelligent lighting remote on-line monitoring, regulating and controlling management system for the solar street lamp according to claim 1, wherein the intelligent lighting remote on-line monitoring, regulating and controlling management system is characterized in that: the actual total electric quantity calculation formula of the storage battery corresponding to each solar street lamp in the road to be monitored is Q Total (S) a i ＝q Hair brush a i +q′ Storage device a i ，Q Total (S) a i The actual total electric quantity of the storage battery corresponding to the ith solar street lamp in the road to be monitored is represented as q' Storage device a i And the stored electric quantity of the storage battery corresponding to the ith solar street lamp in the road to be monitored is shown.
4. The intelligent lighting remote on-line monitoring, regulating and controlling management system for the solar street lamp according to claim 3, wherein: the predicted weather acquisition module acquires future weather conditions of corresponding areas of each solar street lamp in the road to be monitored by inquiring weather forecast, counts the number of days when each solar street lamp in the road to be monitored acquires sunlight charging again, and forms a number of days collection X (X) 1 ,x 2 ,...,x i ,...,x n )，x i And the number of days for the ith solar street lamp to acquire sunlight charging again in the road to be monitored is shown.
5. The intelligent lighting remote on-line monitoring, regulating and controlling management system for the solar street lamp according to claim 4, wherein: the calculation formula of the average illumination electric quantity distributed every day before each solar street lamp in the road to be monitored acquires the sunshine again for charging is as follows And the average illumination electric quantity distributed every day before the sunlight energy charging is obtained again by the ith solar street lamp in the road to be monitored.
6. The intelligent lighting remote on-line monitoring, regulating and controlling management system for the solar street lamp according to claim 1, wherein the intelligent lighting remote on-line monitoring, regulating and controlling management system is characterized in that: the ambient light darkness detection module comprises a plurality of darkness sensors, wherein the darkness sensors are respectively arranged on the solar street lamps, and the darkness of the ambient light of each abnormal illumination street lamp in the road to be monitored is detected in real time through the darkness sensorsThe darkness of the surrounding light of each abnormal lighting street lamp in the road to be monitored is compared with the darkness of the set lighting, so as to obtain the time when the darkness of the surrounding light of each abnormal lighting street lamp in the road to be monitored reaches the darkness of the set lighting, and a time set t (t) when the darkness of the surrounding light of each abnormal lighting street lamp in the road to be monitored reaches the darkness of the set lighting is formed 1 ,t 2 ,...,t j ,...,t m )，t j And the time when the darkness of the surrounding light of the jth abnormal lighting street lamp in the road to be monitored reaches the preset lighting darkness is indicated.
7. The intelligent lighting remote on-line monitoring, regulating and controlling management system for the solar street lamp according to claim 6, wherein: the estimated opening duration analysis module comprises the following steps:
s1, extracting the turn-off time of each abnormal lighting street lamp in the road to be monitored in each day in the recent history, and forming a turn-off time set t 'of each abnormal lighting street lamp in the road to be monitored in each day in the recent history' j b(t′ j b 1 ,t′ j b 2 ,...,t′ j b v ,...,t′ j b f )，t′ j b v The lamp turning-off time of the jth abnormal lighting street lamp in the road to be monitored on the (v) th day in the latest history;
s2, analyzing the expected starting time of each abnormal lighting street lamp in the road to be monitoredΔt″ j The estimated starting time of the j-th abnormal lighting street lamp in the road to be monitored is represented;
s3, dividing the expected starting time of each abnormal street lamp into each starting time period according to an equi-number dividing mode.
8. The intelligent lighting remote on-line monitoring, regulating and controlling management system for the solar street lamp according to claim 1, wherein the intelligent lighting remote on-line monitoring, regulating and controlling management system is characterized in that: the road traffic flow detection module comprises a statistical road to be monitoredThe abnormal lighting street lamps in the road correspond to the road traffic flow levels in each opening time period to form a road traffic flow level set W corresponding to the abnormal lighting street lamps in the road to be monitored in each opening time period j T(w j T 1 ,w j T 2 ,...,w j T r ,...,w j T u )，w j T r And representing that the jth abnormal lighting street lamp in the road to be monitored corresponds to the road traffic flow grade in the (r) turn-on time period.
9. The intelligent lighting remote on-line monitoring, regulating and controlling management system for the solar street lamp according to claim 1, wherein the intelligent lighting remote on-line monitoring, regulating and controlling management system is characterized in that: the street lamp surrounding brightness detection module comprises a surrounding brightness set L for forming each abnormal lighting street lamp in the road to be monitored in each starting time period j T(L j T 1 ,L j T 2 ,...,L j T r ,...,L j T u )，L j T r And the brightness of the surrounding of the jth abnormal lighting street lamp in the r on period in the road to be monitored is shown.
10. The intelligent lighting remote on-line monitoring, regulating and controlling management system for the solar street lamp according to claim 1, wherein the intelligent lighting remote on-line monitoring, regulating and controlling management system is characterized in that: the calculation formula of the corresponding illumination brightness of each abnormal illumination street lamp in the road to be monitored in each starting time period is thatL″ j T r The corresponding illumination brightness of the jth abnormal illumination street lamp in the road to be monitored in the (r) turn-on time period is represented as L Label (C) T r Expressed as standard illumination brightness, lambda of solar street lamp in the (r) th on period r The weight proportion coefficient corresponding to the r-th opening time period of the solar street lamp is expressed,the j-th abnormal lighting street lamp in the road to be monitored is indicated to acquire sunlight charging energy againAverage lighting power distributed every day before, T' Label (C) r is the standard time of the solar street lamp in the (r) th on period, μ is the street lamp illumination brightness reduction coefficient, and +.>And the standard illumination brightness corresponding to the road traffic flow grade corresponding to the jth abnormal illumination street lamp in the road to be monitored in the (r) turn-on time period is shown.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111602635.5A CN114258178B (en) | 2021-12-24 | 2021-12-24 | Intelligent illumination remote on-line monitoring, regulating and controlling management system for solar street lamp |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111602635.5A CN114258178B (en) | 2021-12-24 | 2021-12-24 | Intelligent illumination remote on-line monitoring, regulating and controlling management system for solar street lamp |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114258178A CN114258178A (en) | 2022-03-29 |
| CN114258178B true CN114258178B (en) | 2024-03-12 |
Family
ID=80797592
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111602635.5A Active CN114258178B (en) | 2021-12-24 | 2021-12-24 | Intelligent illumination remote on-line monitoring, regulating and controlling management system for solar street lamp |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114258178B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114928924B (en) * | 2022-06-22 | 2022-11-15 | 嘉兴市新光照明电器有限公司 | Intelligent street lamp control system based on urban road management |
| CN117279162B (en) * | 2023-11-15 | 2024-01-30 | 山东展望信息科技股份有限公司 | Multifunctional illumination terminal equipment based on Internet of things |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20180124249A (en) * | 2017-05-11 | 2018-11-21 | 주식회사 이티스 | Streetlight control device that automatically controls illumination according to surrounding circumstances information |
| CN109068460A (en) * | 2018-07-25 | 2018-12-21 | 重庆辉腾能源股份有限公司 | A kind of wisdom illumination cloud management for new energy street lamp |
| CN109802453A (en) * | 2018-11-23 | 2019-05-24 | 韶关市欧姆机电设备有限公司 | A kind of the intelligent charge management module and management method of photo-voltaic power supply |
| CN110191538A (en) * | 2019-05-30 | 2019-08-30 | 深圳市清飞达能源科技有限公司 | City illumination LED wisdom street lamp control system and method |
| CN112291890A (en) * | 2020-10-21 | 2021-01-29 | 苏宇航 | Brightness real-time monitoring and regulating system for lighting engineering based on big data |
| CN113068293A (en) * | 2021-04-01 | 2021-07-02 | 义乌市叶微建筑科技有限公司 | Road brightening illumination remote intelligent monitoring regulation cloud platform based on Internet of things and artificial intelligence |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102083425B1 (en) * | 2017-09-19 | 2020-03-02 | (주)코러싱 | Solar lighting system with integrated control board and monitoring system using it |
-
2021
- 2021-12-24 CN CN202111602635.5A patent/CN114258178B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20180124249A (en) * | 2017-05-11 | 2018-11-21 | 주식회사 이티스 | Streetlight control device that automatically controls illumination according to surrounding circumstances information |
| CN109068460A (en) * | 2018-07-25 | 2018-12-21 | 重庆辉腾能源股份有限公司 | A kind of wisdom illumination cloud management for new energy street lamp |
| CN109802453A (en) * | 2018-11-23 | 2019-05-24 | 韶关市欧姆机电设备有限公司 | A kind of the intelligent charge management module and management method of photo-voltaic power supply |
| CN110191538A (en) * | 2019-05-30 | 2019-08-30 | 深圳市清飞达能源科技有限公司 | City illumination LED wisdom street lamp control system and method |
| CN112291890A (en) * | 2020-10-21 | 2021-01-29 | 苏宇航 | Brightness real-time monitoring and regulating system for lighting engineering based on big data |
| CN113068293A (en) * | 2021-04-01 | 2021-07-02 | 义乌市叶微建筑科技有限公司 | Road brightening illumination remote intelligent monitoring regulation cloud platform based on Internet of things and artificial intelligence |
Non-Patent Citations (1)
| Title |
|---|
| 基于改进相似日的光伏系统日发电量预测;陈国栋等;《照明工程学报》;第第29卷卷(第第3期期);第115-119页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114258178A (en) | 2022-03-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114258178B (en) | Intelligent illumination remote on-line monitoring, regulating and controlling management system for solar street lamp | |
| Marino et al. | Adaptive street lighting predictive control | |
| CN201781657U (en) | Street lamp control system | |
| CN114239972A (en) | Campus energy efficiency and electrical safety management method and system based on artificial intelligence technology | |
| CN102638013A (en) | Target image identification transmission line state monitoring system based on visual attention mechanism | |
| CN211352540U (en) | Intelligent street lamp | |
| CN114928924B (en) | Intelligent street lamp control system based on urban road management | |
| CN204062817U (en) | A kind of vcehicular tunnel photovoltaic intelligent illuminator | |
| CN112333870A (en) | Wisdom street lamp and control system thereof based on arduino | |
| CN116600446B (en) | Intelligent street lamp system based on Internet of things technology | |
| CN115802559B (en) | Intelligent illumination control method and device, computer equipment and storage medium | |
| CN111372351A (en) | Wisdom lighting control system | |
| CN113660751A (en) | Smart city street lamp control system and control method | |
| CN114678855B (en) | Power supply control method, system and device of power transmission line monitoring equipment | |
| CN115915547A (en) | Wisdom street lamp control system | |
| CN113433879A (en) | Novel remote networking control platform of intelligent multifunctional networking lamp pole tower | |
| CN112954863A (en) | Street lamp intelligent control method and system based on big data analysis | |
| CN117042269A (en) | Smart city road lighting system | |
| CN116489852A (en) | Intelligent control system for street lamp | |
| CN116321626A (en) | Street lamp illumination energy-saving management system | |
| CN214308865U (en) | Energy consumption equipment state monitoring system based on Internet of things | |
| CN114928916A (en) | Urban road street lamp state system based on big data monitoring | |
| CN113739111A (en) | Automatic brightness adjusting type street lamp system and adjusting method | |
| CN113280862A (en) | Ultra-low power consumption remote analog quantity monitoring device and method | |
| CN114358334A (en) | Big data-based energy management platform and operation method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |