CN116934294A - Smart city road lamp tube control system and method - Google Patents
Smart city road lamp tube control system and method Download PDFInfo
- Publication number
- CN116934294A CN116934294A CN202310710583.6A CN202310710583A CN116934294A CN 116934294 A CN116934294 A CN 116934294A CN 202310710583 A CN202310710583 A CN 202310710583A CN 116934294 A CN116934294 A CN 116934294A
- Authority
- CN
- China
- Prior art keywords
- road
- inspection
- street lamp
- lamp
- street
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title abstract description 11
- 238000007689 inspection Methods 0.000 claims abstract description 128
- 230000006978 adaptation Effects 0.000 claims abstract description 74
- 238000004458 analytical method Methods 0.000 claims abstract description 56
- 238000005286 illumination Methods 0.000 claims abstract description 45
- 230000002159 abnormal effect Effects 0.000 claims abstract description 43
- 230000010354 integration Effects 0.000 claims abstract description 16
- 238000012423 maintenance Methods 0.000 claims abstract description 15
- 238000009434 installation Methods 0.000 claims description 36
- 208000007345 glycogen storage disease Diseases 0.000 claims description 16
- 230000005856 abnormality Effects 0.000 claims description 10
- 206010053185 Glycogen storage disease type II Diseases 0.000 claims description 9
- 101100448170 Saccharomyces cerevisiae (strain ATCC 204508 / S288c) GCV2 gene Proteins 0.000 claims description 9
- 201000004541 glycogen storage disease I Diseases 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 abstract description 7
- 238000007726 management method Methods 0.000 description 28
- 239000008186 active pharmaceutical agent Substances 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012351 Integrated analysis Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- 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
-
- 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
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Circuit Arrangement For Electric Light Sources In General (AREA)
Abstract
The invention discloses a smart city road lamp tube control system and a smart city road lamp tube control method, and belongs to the technical field of smart cities; the method comprises the steps of obtaining illumination adaptation degree by means of simultaneous integration of road data and street lamp data, and analyzing and evaluating whether the installed street lamp is matched with a road based on the illumination adaptation degree so as to provide an alarm prompt for replacement and maintenance of the follow-up street lamp; the control adaptation degree is obtained by integrating historical inspection data of different dimensions of different road lamps, and whether the working stability of the corresponding road lamp is abnormal and the abnormal level are judged based on the analysis of the control adaptation degree, so that the road lamp is controlled by adaptively and dynamically adjusting the inspection frequency; the intelligent city lamp tube control system is used for solving the technical problem that the whole effect of intelligent city lamp tube control is poor in the existing scheme.
Description
Technical Field
The invention relates to the technical field of smart cities, in particular to a smart city road lamp tube control system and a smart city road lamp tube control method.
Background
The smart city is in the fields of city planning, design, construction, management, operation and the like, and key infrastructure components and services formed by cities such as city management, education, medical treatment, real estate, transportation, public utilities, public safety and the like are more interconnected, efficient and intelligent through the application of intelligent computing technologies such as Internet of things, cloud computing, big data, space and geographic information integration and the like, so that better life and working services are provided for citizens, and a more favorable business development environment is created for enterprises.
Through searching, the invention of China with the publication number of CN110876126A and the name of a city control management system based on intelligent street lamps discloses that intelligent cities are built based on intelligent street lamps, so that interconnection and intercommunication of multiple platforms in the intelligent cities are realized, and repeated investment is reduced; the intelligent street lamp is a composite public infrastructure integrating a plurality of functions of intelligent lighting, video acquisition, mobile communication, traffic management, environment monitoring, meteorological monitoring, radio monitoring, emergency help seeking, information interaction and the like, and is an important carrier for constructing a comprehensive perception network of an intelligent city;
however, there are drawbacks including: the data analysis and matching are not carried out from the aspect of the street lamp and the aspect of the road, whether the installation effect of the street lamp is proper or not is evaluated and judged, and data support cannot be provided for the replacement and maintenance of the subsequent road street lamp, so that the use effect of the street lamp is poor; meanwhile, inspection data after the street lamp is installed cannot be monitored and evaluated, and inspection of street lamps on different roads is dynamically adjusted in a self-adaptive mode, so that the effect of inspection management and control of the street lamps is poor, and the overall effect of intelligent city street lamp control is poor.
Disclosure of Invention
The invention aims to provide a smart city road lamp control system and a smart city road lamp control method, which are used for solving the technical problem that the whole effect of smart city road lamp control is poor in the existing scheme.
The aim of the invention can be achieved by the following technical scheme:
a smart city road lighting control system, comprising:
the street lamp statistics module is used for collecting basic information of street lamps on each road in the management and control area to obtain a basic information set;
the street lamp analysis module is used for carrying out calculation and analysis on the installation state of the corresponding street lamp according to the basic information set, and obtaining the illumination adaptation degree ZSD of the road street lamp installation by extracting the numerical values of all data defined in the basic information set and combining the numerical values in parallel;
analyzing the installation state of the street lamp on the corresponding road according to the illumination adaptation degree ZSD to obtain a basic analysis set containing a first lamp estimation signal and a second lamp estimation signal, and uploading the basic analysis set to a server and a database;
the street lamp abnormality module is used for monitoring and counting abnormal conditions of street lamps on different roads to obtain a street lamp abnormality set;
the anomaly analysis module is used for extracting numerical values of various data defined in the street lamp anomaly set and carrying out simultaneous integration with a road preset value corresponding to a road to obtain a management and control adaptation degree GSD of the road street lamp installation; analyzing the inspection state of the street lamp on the corresponding road according to the management and control adaptation GSD to obtain an abnormal analysis set containing a first inspection signal, a second inspection signal and a third inspection signal, and uploading the abnormal analysis set to a server and a database;
and the regulation and control prompt module is used for dynamically prompting and adjusting the replacement maintenance and the inspection self-adaption of the street lamps on the road according to the basic analysis set and the abnormal analysis set.
Preferably, the step of acquiring the basic information set includes:
acquiring and defining the types of each road in the management and control area and corresponding road preset values;
counting the total length of the road and defining the total number of unilateral street lamps on the road respectively;
counting the distance between adjacent street lamps and the height of a lamp post and defining the distance and the height respectively;
obtaining and defining the maximum brightness of the street lamp;
and arranging and combining the defined data to obtain a basic information set.
Preferably, if the illumination adaptation threshold ZSD0 ×p% < the illumination adaptation degree ZSD < the illumination adaptation threshold ZSD0, generating a first light estimation signal and defining the corresponding road as a class of adaptation roads; the value range of P is (0, 90);
if the illumination adaptation degree ZSD is less than or equal to the illumination adaptation threshold ZSD0 p% or the illumination adaptation degree ZSD is greater than or equal to the illumination adaptation threshold ZSD0, generating a second light estimation signal and defining the corresponding road as a class-two adaptation road.
Preferably, the step of obtaining the abnormal street lamp set includes:
acquiring the time of the road lamps on different roads after being installed and setting the time as a reference time;
counting and defining the total times of faults and the total times of theft of the street lamps on different roads according to the reference time and in a preset supervision period;
respectively setting the time point of the first fault and the first stolen time of the street lamp as a first fault time and a first stolen time; respectively setting the time point of the second fault and the second stolen time of the street lamp as second fault time and second stolen time; by analogy, the nth fault and stolen time point of the street lamp are respectively set as the nth fault time and the nth stolen time; n is a positive integer greater than 2;
respectively taking the first fault time and the first stolen time as starting points, counting and summing the time lengths among a plurality of subsequent adjacent nth fault times to obtain and define fault counting time lengths; counting and summing the time length among a plurality of subsequent n-th stolen time to obtain and define the stolen counted time length; the defined data form an abnormal set of street lamps.
Preferably, the management and control adaptation degree GSD is matched with a preset management and control adaptation interval [ GSD1, GSD2 ];
if GSD is smaller than GSD1, the road lamp on the corresponding road is excellent in inspection state, a first inspection signal is generated, and the corresponding road is defined as an inspection road according to the first inspection signal;
if GSD1 is less than or equal to GSD2, the inspection state of the street lamp on the corresponding road is slightly abnormal, a second inspection signal is generated, and the corresponding road is defined as a second class inspection road according to the second inspection signal;
if GSD is larger than GSD2, the road inspection state of the road lamp on the corresponding road is moderately abnormal, a third inspection signal is generated, and the corresponding road is defined as three types of inspection roads according to the third inspection signal.
Preferably, the working steps of the regulation and control prompt module include:
prompting the replacement and maintenance of the street lamps on the second class of adaptation roads according to the second lamp estimation signals in the basic analysis set; and respectively implementing the existing inspection frequency, the first inspection frequency and the second inspection frequency for the first inspection road, the second inspection road and the third inspection road according to the first inspection signal, the second inspection signal and the third inspection signal in the anomaly analysis set.
Preferably, the first class of inspection frequency is higher than the existing inspection frequency, and the second class of inspection frequency is higher than the first class of inspection frequency.
In order to solve the problem, the invention also discloses a smart city street lamp management and control method, which comprises the following steps:
basic information acquisition is carried out on street lamps on each road in the management and control area, so that a basic information set is obtained;
calculating and analyzing the installation state of the corresponding street lamp according to the basic information set, and obtaining the illumination adaptation degree of the road street lamp installation by extracting the numerical value parallel vertical integration of each item of data defined in the basic information set; analyzing the installation state of the street lamp on the corresponding road according to the illumination adaptation degree to obtain a basic analysis set containing a first lamp estimation signal and a second lamp estimation signal;
monitoring and counting abnormal conditions of street lamps on different roads to obtain a street lamp abnormal set;
extracting numerical values of various data defined in abnormal set of the street lamp and carrying out simultaneous integration with a preset road value corresponding to the road to obtain the management and control adaptation degree of the road street lamp installation; analyzing the inspection state of the street lamp on the corresponding road according to the management and control adaptation degree to obtain an abnormal analysis set containing a first inspection signal, a second inspection signal and a third inspection signal;
and respectively carrying out dynamic prompt and adjustment on the replacement maintenance and the inspection self-adaption of the street lamps on the road according to the basic analysis set and the abnormal analysis set.
Compared with the prior art, the invention has the beneficial effects that:
the invention obtains the illumination adaptation degree by combining the data of the road and the data of the street lamp, and evaluates whether the installed street lamp is matched with the road or not based on the analysis of the illumination adaptation degree so as to provide an alarm prompt for the replacement and maintenance of the subsequent street lamp; the management and control adaptation degree is obtained by integrating historical inspection data of different dimensions of different road lamps, and whether the working stability of the corresponding road lamps is abnormal or not and the abnormal level are judged based on the management and control adaptation degree analysis, so that the road lamps are managed and controlled by adaptively and dynamically adjusting the inspection frequency.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of a smart city lighting control system according to the present invention.
Fig. 2 is a flow chart of a method for managing and controlling a street lamp in a smart city according to 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.
Example 1
As shown in FIG. 1, the invention relates to a smart city road lamp control system, which comprises a street lamp statistics module, a street lamp analysis module, a street lamp abnormality module, an abnormality analysis module, a regulation and control prompt module, a server and a database;
in the embodiment of the invention, the installation state and the inspection state of the road street lamp are monitored and judged by data acquisition, calculation and analysis from the aspect of basic information and the aspect of historical inspection of the road street lamp, so that the replacement and maintenance of the street lamp on the road and the self-adaption of inspection are dynamically prompted and adjusted, and the overall effect of intelligent city road lamp control can be effectively improved;
the street lamp statistics module is used for collecting basic information of street lamps on each road in the management and control area to obtain a basic information set; comprising the following steps:
obtaining the types of all roads in the management and control area, setting different road types to correspond to different road preset values, matching the obtained road types with all the road types to obtain corresponding road preset values, and defining the corresponding road preset values as DY;
the road types can be divided based on the number of lanes, such as single lanes, double lanes, three lanes and the like, and the larger the number of lanes is, the larger the corresponding preset road value is; or customizing based on the name and position of the road; the road preset value is used for digitally representing the road types of the text class so as to provide data support for the subsequent differential calculation analysis of different road types;
counting the total length of the road and defining the total number of unilateral street lamps on the road as LC and DS respectively; the unit of the total length of the road is kilometers;
counting the distance between adjacent street lamps and the height of a lamp post, and defining the distance as DJ and DG respectively; the units of spacing and height are meters;
obtaining the maximum brightness of the street lamp and defining the maximum brightness as DL; the unit of brightness is lux;
arranging and combining the defined data to obtain a basic information set;
in the embodiment of the invention, the data acquisition is carried out on the street lamp installation aspect on different roads to provide data support of different dimensionalities for the analysis of the street lamp installation state on the road, so that the accuracy of the street lamp installation state analysis can be improved;
the street lamp analysis module is used for carrying out calculation analysis on the installation state of the corresponding street lamp according to the basic information set to obtain a basic analysis set; comprising the following steps:
extracting values of a road preset value DY, a road total length LC, a total number DS of unilateral street lamps, a distance DJ between adjacent street lamps, a height DG of a lamp post and a maximum brightness DL of the street lamps which are defined in a basic information set, carrying out simultaneous integration on the values of all the data, and calculating and obtaining illumination adaptation degree ZSD of the installation of the road street lamps through an integration formula; the integrated formula of illumination fitness ZSD is:
wherein z1, z2 and z3 are preset different proportion coefficients, and z1 is more than 0 and less than z2 and less than z3, z1 can take on a value of 1.253, z2 can take on a value of 2.614, and z3 can take on a value of 3.317; alpha is a preset road compensation coefficient, the value range is (0, 7), and alpha can be 1.1573;
the illumination adaptation degree is a numerical value for integrating various aspect data of the road lamp installed on different types of roads to integrally evaluate the installation state of the road lamp; through the simultaneous integration of the data on the road and the data on the street lamp, whether the installed street lamp is matched with the road or not is analyzed and evaluated, so that an alarm prompt is provided for the replacement and maintenance of the subsequent street lamp;
analyzing the installation state of the street lamp on the corresponding road according to the illumination adaptation degree ZSD, and matching the illumination adaptation degree ZSD with a preset illumination adaptation threshold value ZSD 0;
if the illumination adaptation threshold value ZSD0 is less than the illumination adaptation degree ZSD less than the illumination adaptation threshold value ZSD0, the installation state of the street lamp on the corresponding road is normal, a first lamp estimation signal is generated, and the corresponding road is defined as an adaptation road according to the first lamp estimation signal; the value range of P is (0, 90);
if the illumination adaptation degree ZSD is less than or equal to the illumination adaptation threshold ZSD0 x P percent or the illumination adaptation degree ZSD is more than or equal to the illumination adaptation threshold ZSD0, the installation state of the street lamp on the corresponding road is abnormal, a second lamp estimation signal is generated, and the corresponding road is defined as a class-II adaptation road according to the second lamp estimation signal; the abnormal installation state comprises, but is not limited to, the installation scale of the street lamp and the mismatch of the model of the street lamp and the corresponding type of road, so that the illumination of the whole street lamp on the road is over-bright or over-dark;
the illumination adaptation degree and the corresponding first lamp estimation signal and second lamp estimation signal form a basic analysis set and are uploaded to a server and a database;
in the embodiment of the invention, the installation state of the street lamp is analyzed and evaluated to judge whether the illumination of the street lamp is matched with the corresponding road type, so that the maintenance of the street lamps of different roads can be emphasized in the follow-up process;
the street lamp abnormality module is used for monitoring and counting abnormal conditions of street lamps on different roads to obtain a street lamp abnormality set; comprising the following steps:
acquiring the time of the road lamps on different roads after being installed and setting the time as a reference time;
counting the total times of faults and the total times of theft of the street lamps on different roads according to the reference time and in a preset supervision period, and defining the times as GZ and DZ respectively; wherein, the unit of the supervision period is a day, and may specifically be 30 days;
respectively setting the time point of the first fault and the first stolen time of the street lamp as a first fault time and a first stolen time;
respectively setting the time point of the second fault and the second stolen time of the street lamp as second fault time and second stolen time; by analogy, the nth fault and stolen time point of the street lamp are respectively set as the nth fault time and the nth stolen time; n is a positive integer greater than 2;
respectively taking the first fault time and the first stolen time as starting points, counting and summing the time lengths among a plurality of subsequent adjacent nth fault times to obtain fault counting time lengths which are defined as GL; counting and summing the time length among a plurality of subsequent n-th stolen time to obtain a stolen counted time length which is defined as DL; the units of the duration are days;
each defined item of data forms a street lamp abnormal set;
the anomaly analysis module is used for extracting numerical values of various data defined in the street lamp anomaly set and carrying out simultaneous integration with a preset road value corresponding to a road, and acquiring a management and control fitness GSD of the road street lamp installation through calculation of an integration formula; the integration formula of the management and control fitness GSD is as follows:
wherein g1 and g2 are preset different proportion coefficients, g1 is more than 0 and less than g2, g1 can take the value of 1.738, and g2 can take the value of 2.524;
it should be noted that, the management and control fitness is used for integrating various data of historical road inspection to evaluate the inspection state of the road street lamp, so as to dynamically adjust the inspection self-adaption of the road street lamp of different types subsequently, and meet the inspection requirements of the street lamp work on different types of roads;
analyzing the inspection state of the street lamp on the corresponding road according to the management and control adaptation degree GSD, and matching the management and control adaptation degree GSD with a preset management and control adaptation interval [ GSD1, GSD2 ];
if GSD is smaller than GSD1, the road lamp on the corresponding road is excellent in inspection state, a first inspection signal is generated, and the corresponding road is defined as an inspection road according to the first inspection signal; the excellent inspection state can be understood as no street lamp damage or street lamp theft occurs on the corresponding road;
if GSD1 is less than or equal to GSD2, the inspection state of the street lamp on the corresponding road is slightly abnormal, a second inspection signal is generated, and the corresponding road is defined as a second class inspection road according to the second inspection signal; the slight abnormality of the inspection state can be understood as the occasional occurrence of street lamp damage and street lamp theft on the corresponding road;
if GSD is larger than GSD2, the inspection state of the street lamp on the corresponding road is moderately abnormal, a third inspection signal is generated, and the corresponding road is defined as three types of inspection roads according to the third inspection signal; the moderate abnormality of the inspection state can be understood as frequent street lamp damage and street lamp theft on the corresponding road;
managing and controlling the adaptation degree, and forming an anomaly analysis set by the corresponding first inspection signal, second inspection signal and third inspection signal, and uploading the anomaly analysis set to a server and a database;
in the embodiment of the invention, by carrying out integrated analysis on the historical inspection data of different dimensions of different road lamps, whether the working stability of the corresponding road street lamp is abnormal or not and the abnormal level are judged by analysis, so that the road street lamp is managed and controlled by adaptively and dynamically adjusting the inspection frequency;
the regulation and control prompt module is used for dynamically prompting and adjusting the replacement maintenance and the inspection self-adaption of the street lamps on the road according to the basic analysis set and the abnormal analysis set; comprising the following steps:
prompting the replacement and maintenance of the street lamps on the second class of adaptation roads according to the second lamp estimation signals in the basic analysis set;
according to the first inspection signal, the second inspection signal and the third inspection signal in the anomaly analysis set, the existing inspection frequency, the first inspection frequency and the second inspection frequency are implemented on the first inspection road, the second inspection road and the third inspection road respectively;
wherein, the first class of inspection frequency is higher than the existing inspection frequency, and the second class of inspection frequency is higher than the first class of inspection frequency;
it should be noted that, the formulas related in the foregoing are all formulas with dimensions removed and numerical values calculated, and are a formula closest to the actual situation obtained by software simulation by collecting a large amount of data, and the scaling factor in the formulas and each preset threshold value in the analysis process are set by those skilled in the art according to the actual situation or obtained by simulation of a large amount of data.
Example two
As shown in fig. 2, the present invention is a method for controlling a smart city street lamp, comprising:
basic information acquisition is carried out on street lamps on each road in the management and control area, so that a basic information set is obtained;
calculating and analyzing the installation state of the corresponding street lamp according to the basic information set, and obtaining the illumination adaptation degree of the road street lamp installation by extracting the numerical value parallel vertical integration of each item of data defined in the basic information set; analyzing the installation state of the street lamp on the corresponding road according to the illumination adaptation degree to obtain a basic analysis set containing a first lamp estimation signal and a second lamp estimation signal;
monitoring and counting abnormal conditions of street lamps on different roads to obtain a street lamp abnormal set;
extracting numerical values of various data defined in abnormal set of the street lamp and carrying out simultaneous integration with a preset road value corresponding to the road to obtain the management and control adaptation degree of the road street lamp installation; analyzing the inspection state of the street lamp on the corresponding road according to the management and control adaptation degree to obtain an abnormal analysis set containing a first inspection signal, a second inspection signal and a third inspection signal;
and respectively carrying out dynamic prompt and adjustment on the replacement maintenance and the inspection self-adaption of the street lamps on the road according to the basic analysis set and the abnormal analysis set.
In the several embodiments provided by the present invention, it should be understood that the disclosed system may be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (2)
1. A smart city road lighting control system, comprising:
the street lamp statistics module is used for collecting basic information of street lamps on each road in the management and control area to obtain a basic information set;
the street lamp analysis module is used for carrying out calculation and analysis on the installation state of the corresponding street lamp according to the basic information set, and obtaining the illumination adaptation degree ZSD of the road street lamp installation by extracting the numerical values of all data defined in the basic information set and combining the numerical values in parallel; the illumination adaptation degree is a numerical value for integrating various aspect data of the road lamp installed on different types of roads to integrally evaluate the installation state thereof;
analyzing the installation state of the street lamp on the corresponding road according to the illumination adaptation degree ZSD to obtain a basic analysis set containing a first lamp estimation signal and a second lamp estimation signal, and uploading the basic analysis set to a server and a database; if the illumination adaptation threshold value ZSD0 x P% < the illumination adaptation degree ZSD < the illumination adaptation threshold value ZSD0, generating a first light estimation signal and defining a corresponding road as an adaptation road; the value range of P is (0, 90);
if the illumination adaptation degree ZSD is less than or equal to the illumination adaptation threshold zsd0×p% or the illumination adaptation degree ZSD is greater than or equal to the illumination adaptation threshold ZSD0, generating a second light estimation signal and defining a corresponding road as a class-two adaptation road;
the street lamp abnormality module is used for monitoring and counting abnormal conditions of street lamps on different roads to obtain a street lamp abnormality set;
the anomaly analysis module is used for extracting numerical values of various data defined in the street lamp anomaly set and carrying out simultaneous integration with a road preset value corresponding to a road to obtain a management and control adaptation degree GSD of the road street lamp installation; the control adaptation degree is used for integrating various data of historical road inspection to evaluate the inspection state of the road street lamp so as to realize the self-adaptive dynamic adjustment of the inspection of the road street lamp of different types, thereby meeting the inspection requirements of the street lamp work on the different types of roads;
analyzing the inspection state of the street lamp on the corresponding road according to the management and control adaptation GSD to obtain an abnormal analysis set containing a first inspection signal, a second inspection signal and a third inspection signal, and uploading the abnormal analysis set to a server and a database; matching the management and control adaptation degree GSD with a preset management and control adaptation interval [ GSD1, GSD2 ];
if GSD is smaller than GSD1, the road lamp on the corresponding road is excellent in inspection state, a first inspection signal is generated, and the corresponding road is defined as an inspection road according to the first inspection signal;
if GSD1 is less than or equal to GSD2, the inspection state of the street lamp on the corresponding road is slightly abnormal, a second inspection signal is generated, and the corresponding road is defined as a second class inspection road according to the second inspection signal;
if GSD is larger than GSD2, the inspection state of the street lamp on the corresponding road is moderately abnormal, a third inspection signal is generated, and the corresponding road is defined as three types of inspection roads according to the third inspection signal;
the regulation and control prompt module is used for dynamically prompting and adjusting the replacement maintenance and the inspection self-adaption of the street lamps on the road according to the basic analysis set and the abnormal analysis set; comprising the following steps:
prompting the replacement and maintenance of the street lamps on the second class of adaptation roads according to the second lamp estimation signals in the basic analysis set; according to the first inspection signal, the second inspection signal and the third inspection signal in the anomaly analysis set, the existing inspection frequency, the first inspection frequency and the second inspection frequency are implemented on the first inspection road, the second inspection road and the third inspection road respectively; the first-class inspection frequency is higher than the existing inspection frequency, and the second-class inspection frequency is higher than the first-class inspection frequency;
further comprises:
basic information acquisition is carried out on street lamps on each road in the management and control area, so that a basic information set is obtained;
calculating and analyzing the installation state of the corresponding street lamp according to the basic information set, and obtaining the illumination adaptation degree of the road street lamp installation by extracting the numerical value parallel vertical integration of each item of data defined in the basic information set; analyzing the installation state of the street lamp on the corresponding road according to the illumination adaptation degree to obtain a basic analysis set containing a first lamp estimation signal and a second lamp estimation signal;
monitoring and counting abnormal conditions of street lamps on different roads to obtain a street lamp abnormal set; comprising the following steps: acquiring the time of the road lamps on different roads after being installed and setting the time as a reference time;
counting and defining the total times of faults and the total times of theft of the street lamps on different roads according to the reference time and in a preset supervision period;
respectively setting the time point of the first fault and the first stolen time of the street lamp as a first fault time and a first stolen time; respectively setting the time point of the second fault and the second stolen time of the street lamp as second fault time and second stolen time; by analogy, the nth fault and stolen time point of the street lamp are respectively set as the nth fault time and the nth stolen time; n is a positive integer greater than 2;
respectively taking the first fault time and the first stolen time as starting points, counting and summing the time lengths among a plurality of subsequent adjacent nth fault times to obtain and define fault counting time lengths; counting and summing the time length among a plurality of subsequent n-th stolen time to obtain and define the stolen counted time length; each defined item of data forms a street lamp abnormal set;
extracting numerical values of various data defined in abnormal set of the street lamp and carrying out simultaneous integration with a preset road value corresponding to the road to obtain the management and control adaptation degree of the road street lamp installation; analyzing the inspection state of the street lamp on the corresponding road according to the management and control adaptation degree to obtain an abnormal analysis set containing a first inspection signal, a second inspection signal and a third inspection signal;
and respectively carrying out dynamic prompt and adjustment on the replacement maintenance and the inspection self-adaption of the street lamp on the road according to the basic analysis set and the abnormal analysis set.
2. The smart city road lighting control system of claim 1, wherein the obtaining the basic information set comprises:
acquiring and defining the types of each road in the management and control area and corresponding road preset values;
counting the total length of the road and defining the total number of unilateral street lamps on the road respectively;
counting the distance between adjacent street lamps and the height of a lamp post and defining the distance and the height respectively;
obtaining and defining the maximum brightness of the street lamp;
and arranging and combining the defined data to obtain a basic information set.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310710583.6A CN116934294A (en) | 2022-11-28 | 2022-11-28 | Smart city road lamp tube control system and method |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310710583.6A CN116934294A (en) | 2022-11-28 | 2022-11-28 | Smart city road lamp tube control system and method |
| CN202211505073.7A CN115860715B (en) | 2022-11-28 | 2022-11-28 | Smart city road lamp tube control system and method |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211505073.7A Division CN115860715B (en) | 2022-11-28 | 2022-11-28 | Smart city road lamp tube control system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116934294A true CN116934294A (en) | 2023-10-24 |
Family
ID=85667380
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211505073.7A Active CN115860715B (en) | 2022-11-28 | 2022-11-28 | Smart city road lamp tube control system and method |
| CN202310710583.6A Pending CN116934294A (en) | 2022-11-28 | 2022-11-28 | Smart city road lamp tube control system and method |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211505073.7A Active CN115860715B (en) | 2022-11-28 | 2022-11-28 | Smart city road lamp tube control system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN115860715B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116504090B (en) * | 2023-06-25 | 2023-09-08 | 山东华夏高科信息股份有限公司 | Signal lamp monitoring management system of smart city traffic based on big data |
| CN117057625B (en) * | 2023-08-11 | 2024-06-18 | 天纳能源科技（上海）有限公司 | Big data-based energy management method and system |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE202015105106U1 (en) * | 2015-09-28 | 2015-10-08 | Henan Kunbo Sci-tech Co., Ltd. | Street lamp monitoring system for the smart city |
| CN105512990A (en) * | 2015-12-15 | 2016-04-20 | 中智城信息科技（苏州）有限公司 | City management analysis system based on internet of lamp sensor groups |
| CN109640473B (en) * | 2018-12-07 | 2021-05-04 | 四川华体照明科技股份有限公司 | Smart city management system based on street lamps |
| KR102135598B1 (en) * | 2019-11-28 | 2020-07-20 | 주식회사 이엘 | IoT based intelligent street light control system |
| CN110876126B (en) * | 2020-01-17 | 2020-04-24 | 四川众兴华业市政照明工程有限公司 | City control management system based on wisdom street lamp |
| CN114928916A (en) * | 2022-06-09 | 2022-08-19 | 安徽极光照明工程有限公司 | Urban road street lamp state system based on big data monitoring |
-
2022
- 2022-11-28 CN CN202211505073.7A patent/CN115860715B/en active Active
- 2022-11-28 CN CN202310710583.6A patent/CN116934294A/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| CN115860715A (en) | 2023-03-28 |
| CN115860715B (en) | 2023-11-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115860715B (en) | Smart city road lamp tube control system and method | |
| CN113962472B (en) | Short-time prediction method for space-time double-attention subway passenger flow based on GAT-Seq2Seq model | |
| CN103175513B (en) | System and method for monitoring hydrology and water quality of river basin under influence of water projects based on Internet of Things | |
| CN105512990A (en) | City management analysis system based on internet of lamp sensor groups | |
| CN106507315B (en) | Urban traffic accident prediction technique and system based on network social intercourse media data | |
| CN206431483U (en) | A kind of pumping drainage monitoring system | |
| CN103546536A (en) | Internet of things system of sewage treatment plant | |
| US20230215272A1 (en) | Information processing method and apparatus, computer device and storage medium | |
| CN110766590A (en) | Street lamp predictive maintenance system and method based on deep learning | |
| CN105574154A (en) | Urban macro regional information analysis system based on large data platform | |
| Zheng et al. | An eiot system designed for ecological and environmental management of the xianghe segment of china’s grand canal | |
| CN110836683A (en) | River channel management method, river channel management device and terminal | |
| CN211264434U (en) | Geographic information dynamic early warning deployment and control system | |
| CN113901350A (en) | Pollution source wall map scheduling system and terminal | |
| CN116484166A (en) | A method for outlier station identification based on the change rate of air pollution concentration | |
| CN114819254A (en) | Intelligent planning method and system for police patrol route | |
| CN112116251A (en) | Water conservancy information automatic statistical system for water transfer | |
| Dong et al. | The universality in urban commuting across and within cities | |
| CN112215584A (en) | Three-dimensional reconstruction progress control system and control method | |
| CN114154767A (en) | High-incidence event early warning method and early warning equipment based on urban space map | |
| CN116664095B (en) | Security inspection prediction method based on deep learning | |
| US20230367033A1 (en) | Automated system and method for managing weather related energy use | |
| CN116934265A (en) | Intelligent lighting digital twin platform | |
| CN110515577B (en) | Interactive intelligent collaborative display system based on city data | |
| CN110445648B (en) | An operation and maintenance system for network-level communication signals in megacity rail transit |
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 |