CN112351558A - Intelligent street lamp and fault remote control system thereof - Google Patents
Intelligent street lamp and fault remote control system thereof Download PDFInfo
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Abstract
The invention discloses an intelligent street lamp and a fault remote control system thereof, relates to the technical field of fault remote control, solves the technical problem that in the prior art, the lamp tube of the street lamp cannot be adjusted in heavy fog weather, and analyzes environmental information through a conversion unit to convert the lamp tube of the street lamp and acquire the environmental information; obtaining a conversion coefficient ZH of the street lamp through a formula, and comparing the conversion coefficient ZH of the street lamp with a conversion coefficient threshold value: if the conversion coefficient ZH of the street lamp is larger than or equal to the conversion coefficient threshold value, judging that the current day is a foggy day, and converting the incandescent lamp into a halogen lamp; if the conversion coefficient ZH of the street lamp is less than the conversion coefficient threshold value, judging that the current day is not foggy, and converting the halogen lamp into an incandescent lamp; the lamp tube of the street lamp is adjusted, the halogen lamp with stronger penetrating power is used for lighting in heavy fog weather, the working efficiency of the street lamp is improved, and the incandescent lamp is used in normal weather, so that the lighting range of the street lamp is enlarged.
Description
Technical Field
The invention relates to the technical field of fault remote control, in particular to an intelligent street lamp and a fault remote control system thereof.
Background
The intelligent street lamp reduces the effective current of a light source by adjusting the output voltage of the lighting line, the illumination is not obviously reduced at the initial stage of the linear reduction of the voltage, and the power is saved but is reduced according to the square of the voltage; the intelligent street lamp has the characteristics of high luminous efficiency, low power consumption, long service life, safety, reliability, strong light-emitting rate of a light source, environmental protection and the like; the method is applied to the fields of urban main roads, urban secondary main road industrial park roads, urban and rural roads and the like;
however, in the prior art, the lamp tube of the street lamp cannot be adjusted in the foggy weather, and meanwhile, the street lamp cannot be detected, so that the lighting of the street lamp is influenced by faults in the use process, and the use efficiency of the street lamp is reduced.
Disclosure of Invention
The invention aims to provide an intelligent street lamp and a fault remote control system thereof, wherein environmental information is analyzed through a conversion unit, a lamp tube conversion is carried out on the street lamp, and light is converted into incandescent lamps and halogen lamps to obtain the environmental information; obtaining a conversion coefficient ZH of the street lamp through a formula, and comparing the conversion coefficient ZH of the street lamp with a conversion coefficient threshold value: if the conversion coefficient ZH of the street lamp is larger than or equal to the conversion coefficient threshold value, judging that the current day is a foggy day, and controlling the street lamp to perform lamp tube conversion, namely converting an incandescent lamp into a halogen lamp; if the conversion coefficient ZH of the street lamp is less than the conversion coefficient threshold value, judging that the current day is not fog, and controlling the street lamp to carry out lamp tube conversion, namely converting the halogen lamp into an incandescent lamp; the lamp tube of the street lamp is adjusted, the halogen lamp with stronger penetrating power is used for lighting in heavy fog weather, the working efficiency of the street lamp is improved, and the incandescent lamp is used in normal weather, so that the lighting range of the street lamp is enlarged.
The purpose of the invention can be realized by the following technical scheme:
an intelligent street lamp and a fault remote control system thereof comprise a 5G cloud control platform, an adjusting unit, a charging unit, a converting unit, a detecting unit, a registration unit and a database;
the conversion unit is used for analyzing environmental information, performing lamp tube conversion on the street lamp, converting light into conversion of an incandescent lamp and a halogen lamp, wherein the environmental information is temperature data, visibility data and quantity data, the temperature data is a difference value between the average temperature in the daytime and the average temperature at night, the visibility data is the visibility of the air environment, the quantity data is the number of automobiles with fog lamps on the road, and the specific analysis and conversion process is as follows:
step one, acquiring a difference value between the average temperature in the day and the average temperature at night, and marking the difference value between the average temperature in the day and the average temperature at night as CZ;
step two, acquiring the visibility of the air environment, and marking the visibility of the air environment as NJ;
step three, acquiring the number of the automobiles with the fog lamps turned on the road, and marking the number of the automobiles with the fog lamps turned on the road as QC;
step four, passing through a formula
Acquiring a conversion coefficient ZH of the street lamp, wherein c1, c2 and c3 are preset proportionality coefficients, c1 is larger than c2 and is larger than c3 and is larger than 0, and beta is an error correction factor and is 1.0236542;
step five, comparing the conversion coefficient ZH of the street lamp with a conversion coefficient threshold value:
if the conversion coefficient ZH of the street lamp is larger than or equal to the conversion coefficient threshold value, judging that the current weather is heavy fog, generating a conversion signal and sending the conversion signal to the 5G cloud control platform, and after receiving the conversion signal, the 5G cloud control platform controls the street lamp to carry out lamp tube conversion, namely, an incandescent lamp is converted into a halogen lamp;
if the conversion coefficient ZH of the street lamp is smaller than the conversion coefficient threshold value, judging that the current weather is not heavy fog, generating a reverse conversion signal and sending the reverse conversion signal to the 5G cloud control platform, and after the 5G cloud control platform receives the reverse conversion signal, controlling the street lamp to perform lamp tube conversion, namely converting the halogen lamp into the incandescent lamp.
Further, the registration and login unit is used for a manager and a maintainer to submit manager information and maintainer information for registration through a mobile phone terminal, and the manager information and the maintainer information which are successfully registered are sent to the database for storage, the manager information comprises the name, the age, the time of entry and the mobile phone number of personal real-name authentication, and the maintainer information comprises the name, the age, the time of entry and the mobile phone number of personal real-name authentication.
Further, the adjusting unit is configured to analyze vehicle information and adjust an angle of the street lamp, where the vehicle information includes speed data, quantity data, and traffic flow data, the speed data is a difference between a speed of the vehicle before deceleration and a speed of the vehicle after deceleration, the quantity data is a total number of vehicles that decelerate when passing through the street lamp, and the traffic flow data is a number of vehicles passing through within twenty minutes, and the street lamp is marked as i, i is 1, 2, a.
S1: acquiring a difference value between the speed of the vehicle before deceleration and the speed of the vehicle after deceleration, and marking the difference value between the speed of the vehicle before deceleration and the speed of the vehicle after deceleration as Ji;
s2: acquiring the total number of vehicles which decelerate when passing through a street lamp, and marking the total number of the vehicles which decelerate when passing through the street lamp as Si;
s3: acquiring the number of vehicles passing within twenty minutes, and marking the number of vehicles passing within twenty minutes as Ci;
s4: by the formula
Obtaining an adjusting coefficient Xi of the street lamp, wherein b1, b2 and b3 are all preset proportional coefficients, b1 is greater than b2 and greater than b3 is greater than 0, and alpha is an error correction factor and is 1.2365412;
s5: comparing the adjusting coefficient Xi of the street lamp with a street lamp adjusting coefficient threshold value:
if the adjusting coefficient Xi of the street lamp is larger than or equal to the threshold value of the adjusting coefficient of the street lamp, judging that the current angle of the street lamp is not beneficial to vehicle driving, generating an adjusting signal and sending the adjusting signal to the 5G cloud control platform, and after receiving the adjusting signal, the 5G cloud control platform adjusts the irradiation angle of the street lamp;
if the adjusting coefficient Xi of the street lamp is smaller than the threshold value of the adjusting coefficient of the street lamp, judging that the current angle of the street lamp is favorable for the vehicle to run, generating a recording signal and sending the recording signal to the 5G cloud control platform, and after receiving the recording signal, the 5G cloud control platform records the current irradiation angle of the street lamp and sends the irradiation angle to the database for storage.
Further, the charging unit is used for converting solar energy into electric energy, storing the electric energy, and then using the stored electric energy for street lamp power supply, and the specific power supply mode is as follows:
SS 1: acquiring the total quantity of street lamps and the electric energy consumption of the street lamps, respectively and correspondingly marking the total quantity of the street lamps and the electric energy consumption of the street lamps as SL and XH, and acquiring the predicted required electric energy of the street lamps according to a formula YJ (SL multiplied by XH);
SS 2: the method comprises the steps of obtaining an illumination coefficient of the current environment, comparing the illumination coefficient with a coefficient threshold, generating a charging signal and sending the charging signal to a 5G cloud control platform if the illumination coefficient is larger than or equal to the illumination coefficient threshold, turning off a street lamp and charging through a charging unit after the 5G cloud control platform receives the charging signal, and marking electric energy supplemented all day long as actual supplementary electric energy;
SS 3: when the illumination coefficient is less than the illumination coefficient threshold value, then generate the illumination signal and send the illumination signal to the 5G cloud control platform, after the 5G cloud control platform receives the illumination signal, acquire actual supplementary electric energy and compare actual supplementary electric energy with the expected demand electric energy:
SS 31: if the actual supplementary electric energy is less than or equal to the predicted required electric energy, judging that the electric energy does not meet the use requirement, controlling the street lamp to be used for alternate lighting, simultaneously generating a lighting adjusting signal, sending the lighting adjusting signal to an adjusting unit, and adjusting the illumination angle of the street lamp after the adjusting unit receives the lighting adjusting signal;
SS 32: if the actual supplementary electric energy is larger than the predicted required electric energy, judging that the electric energy meets the use requirement, and transmitting the redundant electric energy to a public electric appliance for use, wherein the public electric appliance is a roadside billboard and a roadside indicator light;
SS 4: when the street lamp is used for lighting, the residual electric quantity of the actual supplementary electric energy is obtained in real time, if the residual electric quantity is smaller than the residual threshold value, a power distribution demand signal is generated, and the power distribution demand signal is sent to a national power grid.
Further, the detection unit is configured to analyze usage information of the street lamp and perform fault detection on the street lamp, where the usage information of the street lamp is temperature data, duration data, and frequency data, the temperature data is a sum of a maximum temperature when the street lamp is turned on and a maximum temperature after the street lamp is turned off, the duration data is a sum of a duration when the street lamp is used and a duration when the street lamp is not used, and the frequency data is a sum of the number of times the street lamp is turned on and the number of flashing times when the street lamp is used, and a specific analysis and detection process is as follows:
l1: acquiring the sum of the maximum temperature when the street lamp is turned on and the maximum temperature after the street lamp is turned off, and marking the sum of the maximum temperature when the street lamp is turned on and the maximum temperature after the street lamp is turned off as WDi;
l2: acquiring the sum of the using time length of the street lamp and the unused time length of the street lamp, and marking the sum of the using time length of the street lamp and the unused time length of the street lamp as SCi;
l3: acquiring the sum of the number of times of starting the street lamp and the number of flickering times of the street lamp in use, and marking the sum of the number of times of starting the street lamp and the number of flickering times of the street lamp in use as CSi;
l4: by the formula
Obtaining a maintenance coefficient Wxi of the street lamp, wherein x1, x2 and x3 are all preset proportionality coefficients, and x1 is larger than x2 and x3 is larger than 0;
l5: comparing the maintenance coefficient Wxi of the street lamp with a maintenance coefficient threshold value:
if the maintenance coefficient Wxi is larger than or equal to the maintenance coefficient threshold value, judging that the state of the street lamp is abnormal, generating a street lamp maintenance signal and sending the street lamp maintenance signal to the 5G cloud control platform, after receiving the maintenance signal, the 5G cloud control platform sends the maintenance signal and the street lamp number to be maintained to a mobile phone terminal of a maintenance worker, and meanwhile, controlling a normal street lamp to shift the illumination range to the illumination range of the street lamp to be maintained;
if the maintenance coefficient Wxi is smaller than the maintenance coefficient threshold value, judging that the street lamp state is normal, generating a street lamp normal signal and sending the street lamp normal signal to the 5G cloud control platform, and after receiving the normal signal, the 5G cloud control platform sends the normal signal and the number of the normal street lamp to a mobile phone terminal of a manager.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, the environmental information is analyzed by the conversion unit, the lamp tube conversion is carried out on the street lamp, and the light is converted into the incandescent lamp and the halogen lamp to obtain the environmental information; obtaining a conversion coefficient ZH of the street lamp through a formula, and comparing the conversion coefficient ZH of the street lamp with a conversion coefficient threshold value: if the conversion coefficient ZH of the street lamp is larger than or equal to the conversion coefficient threshold value, judging that the current weather is heavy fog, generating a conversion signal and sending the conversion signal to the 5G cloud control platform, and after receiving the conversion signal, the 5G cloud control platform controls the street lamp to carry out lamp tube conversion, namely, an incandescent lamp is converted into a halogen lamp; if the conversion coefficient ZH of the street lamp is smaller than the conversion coefficient threshold value, judging that the current weather is not heavy fog, generating a reverse conversion signal and sending the reverse conversion signal to the 5G cloud control platform, and after receiving the reverse conversion signal, the 5G cloud control platform controls the street lamp to carry out lamp tube conversion, namely, the halogen lamp is converted into an incandescent lamp; the lamp tube of the street lamp is adjusted, and the halogen lamp with stronger penetrating power is used for lighting in heavy fog weather, so that the working efficiency of the street lamp is improved, and the incandescent lamp is used in normal weather, so that the lighting range of the street lamp is enlarged;
2. in the invention, the vehicle information is analyzed by the adjusting unit, the angle of the street lamp is adjusted to obtain the vehicle information, the adjusting coefficient Xi of the street lamp is obtained by a formula, and the adjusting coefficient Xi of the street lamp is compared with the threshold value of the adjusting coefficient of the street lamp: if the adjusting coefficient Xi of the street lamp is larger than or equal to the threshold value of the adjusting coefficient of the street lamp, judging that the current angle of the street lamp is not beneficial to vehicle driving, generating an adjusting signal and sending the adjusting signal to the 5G cloud control platform, and after receiving the adjusting signal, the 5G cloud control platform adjusts the irradiation angle of the street lamp; if the adjusting coefficient Xi of the street lamp is smaller than the threshold value of the adjusting coefficient of the street lamp, judging that the current angle of the street lamp is favorable for the vehicle to run, generating a recording signal and sending the recording signal to the 5G cloud control platform, and after receiving the recording signal, the 5G cloud control platform records the current irradiation angle of the street lamp and sends the irradiation angle to the database for storage; the irradiation angle of the street lamp is adjusted, so that the intelligence of the street lamp is enhanced, the street lamp is prevented from directly irradiating the eyes of a driver, and the working quality of the street lamp is improved;
3. the method comprises the steps that the use information of the street lamp is analyzed through a detection unit, the street lamp is subjected to fault detection, the use information of the street lamp is obtained, the maintenance coefficient Wxi of the street lamp is obtained through a formula, if the maintenance coefficient Wxi is larger than or equal to a maintenance coefficient threshold value, the state of the street lamp is judged to be abnormal, a street lamp maintenance signal is generated and sent to a 5G cloud control platform, after the 5G cloud control platform receives the maintenance signal, the maintenance signal and the street lamp number needing to be maintained are sent to a mobile phone terminal of a maintenance worker, and meanwhile, a normal street lamp is controlled to shift the illumination range to the illumination range of the street lamp needing to be maintained; if the maintenance coefficient Wxi is smaller than the maintenance coefficient threshold value, judging that the street lamp state is normal, generating a street lamp normal signal and sending the street lamp normal signal to the 5G cloud control platform, and after receiving the normal signal, the 5G cloud control platform sends the normal signal and the serial number of the normal street lamp to a mobile phone terminal of a manager; the street lamp is maintained and detected, the probability of failure of the street lamp during working is reduced, and the working efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an intelligent street lamp and a remote fault control system thereof include a 5G cloud control platform, an adjusting unit, a charging unit, a converting unit, a detecting unit, a registration unit and a database;
the registration login unit is used for submitting management personnel information and maintenance personnel information to register through mobile phone terminals by management personnel and maintenance personnel, and sending the management personnel information and the maintenance personnel information which are successfully registered to the database for storage, wherein the management personnel information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the person, and the maintenance personnel information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the person;
the conversion unit is used for analyzing environmental information, performing lamp tube conversion on the street lamp, converting light into conversion of an incandescent lamp and a halogen lamp, wherein the environmental information is temperature data, visibility data and quantity data, the temperature data is a difference value between the average temperature in the daytime and the average temperature at night, the visibility data is the visibility of the air environment, the quantity data is the number of automobiles with fog lamps on the road, and the specific analysis and conversion process is as follows:
step one, acquiring a difference value between the average temperature in the day and the average temperature at night, and marking the difference value between the average temperature in the day and the average temperature at night as CZ;
step two, acquiring the visibility of the air environment, and marking the visibility of the air environment as NJ;
step three, acquiring the number of the automobiles with the fog lamps turned on the road, and marking the number of the automobiles with the fog lamps turned on the road as QC;
step four, passing through a formula
Acquiring a conversion coefficient ZH of the street lamp, wherein c1, c2 and c3 are preset proportionality coefficients, c1 is larger than c2 and is larger than c3 and is larger than 0, and beta is an error correction factor and is 1.0236542;
step five, comparing the conversion coefficient ZH of the street lamp with a conversion coefficient threshold value:
if the conversion coefficient ZH of the street lamp is larger than or equal to the conversion coefficient threshold value, judging that the current weather is heavy fog, generating a conversion signal and sending the conversion signal to the 5G cloud control platform, and after receiving the conversion signal, the 5G cloud control platform controls the street lamp to carry out lamp tube conversion, namely, an incandescent lamp is converted into a halogen lamp;
if the conversion coefficient ZH of the street lamp is smaller than the conversion coefficient threshold value, judging that the current weather is not heavy fog, generating a reverse conversion signal and sending the reverse conversion signal to the 5G cloud control platform, and after receiving the reverse conversion signal, the 5G cloud control platform controls the street lamp to carry out lamp tube conversion, namely, the halogen lamp is converted into an incandescent lamp;
the adjusting unit is used for analyzing vehicle information and adjusting the angle of the street lamp, the vehicle information comprises speed data, quantity data and traffic flow data, the speed data is the difference value between the speed of the vehicle before deceleration and the speed after deceleration, the quantity data is the total quantity of the vehicles which decelerate when passing through the street lamp, the traffic flow data is the quantity of the vehicles passing through within twenty minutes, the street lamp is marked as i, i is 1, 2, and n is a non-zero positive integer, and the specific analyzing and adjusting process is as follows:
s1: acquiring a difference value between the speed of the vehicle before deceleration and the speed of the vehicle after deceleration, and marking the difference value between the speed of the vehicle before deceleration and the speed of the vehicle after deceleration as Ji;
s2: acquiring the total number of vehicles which decelerate when passing through a street lamp, and marking the total number of the vehicles which decelerate when passing through the street lamp as Si;
s3: acquiring the number of vehicles passing within twenty minutes, and marking the number of vehicles passing within twenty minutes as Ci;
s4: by the formula
Obtaining an adjusting coefficient Xi of the street lamp, wherein b1, b2 and b3 are all preset proportional coefficients, b1 is greater than b2 and greater than b3 is greater than 0, and alpha is an error correction factor and is 1.2365412;
s5: comparing the adjusting coefficient Xi of the street lamp with a street lamp adjusting coefficient threshold value:
if the adjusting coefficient Xi of the street lamp is larger than or equal to the threshold value of the adjusting coefficient of the street lamp, judging that the current angle of the street lamp is not beneficial to vehicle driving, generating an adjusting signal and sending the adjusting signal to the 5G cloud control platform, and after receiving the adjusting signal, the 5G cloud control platform adjusts the irradiation angle of the street lamp;
if the adjusting coefficient Xi of the street lamp is smaller than the threshold value of the adjusting coefficient of the street lamp, judging that the current angle of the street lamp is favorable for the vehicle to run, generating a recording signal and sending the recording signal to the 5G cloud control platform, and after receiving the recording signal, the 5G cloud control platform records the current irradiation angle of the street lamp and sends the irradiation angle to the database for storage;
the charging unit is used for converting solar energy into electric energy and storing the electric energy, and then the stored electric energy is used for supplying power to the street lamp, and the specific power supply mode is as follows:
SS 1: acquiring the total quantity of street lamps and the electric energy consumption of the street lamps, respectively and correspondingly marking the total quantity of the street lamps and the electric energy consumption of the street lamps as SL and XH, and acquiring the predicted required electric energy of the street lamps according to a formula YJ (SL multiplied by XH);
SS 2: the method comprises the steps of obtaining an illumination coefficient of the current environment, comparing the illumination coefficient with a coefficient threshold, generating a charging signal and sending the charging signal to a 5G cloud control platform if the illumination coefficient is larger than or equal to the illumination coefficient threshold, turning off a street lamp and charging through a charging unit after the 5G cloud control platform receives the charging signal, and marking electric energy supplemented all day long as actual supplementary electric energy;
SS 3: when the illumination coefficient is less than the illumination coefficient threshold value, then generate the illumination signal and send the illumination signal to the 5G cloud control platform, after the 5G cloud control platform receives the illumination signal, acquire actual supplementary electric energy and compare actual supplementary electric energy with the expected demand electric energy:
SS 31: if the actual supplementary electric energy is less than or equal to the predicted required electric energy, judging that the electric energy does not meet the use requirement, controlling the street lamp to be used for alternate lighting, simultaneously generating a lighting adjusting signal, sending the lighting adjusting signal to an adjusting unit, and adjusting the illumination angle of the street lamp after the adjusting unit receives the lighting adjusting signal;
SS 32: if the actual supplementary electric energy is larger than the predicted required electric energy, judging that the electric energy meets the use requirement, and transmitting the redundant electric energy to a public electric appliance for use, wherein the public electric appliance is a roadside billboard and a roadside indicator light;
SS 4: when the street lamp is used for lighting, acquiring the residual electric quantity of the actual supplementary electric energy in real time, if the residual electric quantity is less than a residual threshold value, generating a power distribution demand signal, and sending the power distribution demand signal to a national power grid;
the detection unit is used for analyzing the use information of the street lamp and carrying out fault detection on the street lamp, the use information of the street lamp is temperature data, duration data and frequency data, the temperature data is the sum of the maximum temperature when the street lamp is started and the maximum temperature after the street lamp is turned off, the duration data is the sum of the duration of the street lamp and the duration of the street lamp which is not used, the frequency data is the sum of the number of times the street lamp is started and the number of times the street lamp flickers in use, and the specific analysis and detection process is as follows:
l1: acquiring the sum of the maximum temperature when the street lamp is turned on and the maximum temperature after the street lamp is turned off, and marking the sum of the maximum temperature when the street lamp is turned on and the maximum temperature after the street lamp is turned off as WDi;
l2: acquiring the sum of the using time length of the street lamp and the unused time length of the street lamp, and marking the sum of the using time length of the street lamp and the unused time length of the street lamp as SCi;
l3: acquiring the sum of the number of times of starting the street lamp and the number of flickering times of the street lamp in use, and marking the sum of the number of times of starting the street lamp and the number of flickering times of the street lamp in use as CSi;
l4: by the formula
Obtaining a maintenance coefficient Wxi of the street lamp, wherein x1, x2 and x3 are all preset proportionality coefficients, and x1 >x2＞x3＞0；
L5: comparing the maintenance coefficient Wxi of the street lamp with a maintenance coefficient threshold value:
if the maintenance coefficient Wxi is larger than or equal to the maintenance coefficient threshold value, judging that the state of the street lamp is abnormal, generating a street lamp maintenance signal and sending the street lamp maintenance signal to the 5G cloud control platform, after receiving the maintenance signal, the 5G cloud control platform sends the maintenance signal and the street lamp number to be maintained to a mobile phone terminal of a maintenance worker, and meanwhile, controlling a normal street lamp to shift the illumination range to the illumination range of the street lamp to be maintained;
if the maintenance coefficient Wxi is smaller than the maintenance coefficient threshold value, judging that the street lamp state is normal, generating a street lamp normal signal and sending the street lamp normal signal to the 5G cloud control platform, and after receiving the normal signal, the 5G cloud control platform sends the normal signal and the number of the normal street lamp to a mobile phone terminal of a manager.
The working principle of the invention is as follows:
when the intelligent street lamp and the fault remote control system thereof work, environmental information is analyzed through a conversion unit, lamp tube conversion is carried out on the street lamp, lamp light is converted into incandescent lamps and halogen lamps, the difference value between the average temperature in the day and the average temperature at night is obtained, and the difference value between the average temperature in the day and the average temperature at night is marked as CZ; acquiring the visibility of the air environment, and marking the visibility of the air environment as NJ; acquiring the number of automobiles with fog lamps turned on a road, and marking the number of the automobiles with the fog lamps turned on the road as QC; by the formula
Acquiring a conversion coefficient ZH of the street lamp, wherein c1, c2 and c3 are preset proportionality coefficients, c1 is larger than c2 and is larger than c3 and is larger than 0, and beta is an error correction factor and is 1.0236542; comparing the conversion coefficient ZH of the street lamp with a conversion coefficient threshold: if the conversion coefficient ZH of the street lamp is larger than or equal to the conversion coefficient threshold value, judging that the current weather is heavy fog weather, generating a conversion signal and sending the conversion signal to the 5G cloud control platform, and after the 5G cloud control platform receives the conversion signal, controlling the street lamp to perform lamp tube conversion, namely converting an incandescent lamp into a halogen lamp(ii) a If the conversion coefficient ZH of the street lamp is smaller than the conversion coefficient threshold value, judging that the current weather is not heavy fog, generating a reverse conversion signal and sending the reverse conversion signal to the 5G cloud control platform, and after the 5G cloud control platform receives the reverse conversion signal, controlling the street lamp to perform lamp tube conversion, namely converting the halogen lamp into the incandescent lamp.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (5)
1. An intelligent street lamp and a fault remote control system thereof are characterized by comprising a 5G cloud control platform, an adjusting unit, a charging unit, a converting unit, a detecting unit, a registration unit and a database;
the conversion unit is used for analyzing environmental information, performing lamp tube conversion on the street lamp, converting light into conversion of an incandescent lamp and a halogen lamp, wherein the environmental information is temperature data, visibility data and quantity data, the temperature data is a difference value between the average temperature in the daytime and the average temperature at night, the visibility data is the visibility of the air environment, the quantity data is the number of automobiles with fog lamps on the road, and the specific analysis and conversion process is as follows:
step one, acquiring a difference value between the average temperature in the day and the average temperature at night, and marking the difference value between the average temperature in the day and the average temperature at night as CZ;
step two, acquiring the visibility of the air environment, and marking the visibility of the air environment as NJ;
step three, acquiring the number of the automobiles with the fog lamps turned on the road, and marking the number of the automobiles with the fog lamps turned on the road as QC;
step four, passing through a formula
Acquiring a conversion coefficient ZH of the street lamp, wherein c1, c2 and c3 are preset proportionality coefficients, c1 is larger than c2 and is larger than c3 and is larger than 0, and beta is an error correction factor and is 1.0236542;
step five, comparing the conversion coefficient ZH of the street lamp with a conversion coefficient threshold value:
if the conversion coefficient ZH of the street lamp is larger than or equal to the conversion coefficient threshold value, judging that the current weather is heavy fog, generating a conversion signal and sending the conversion signal to the 5G cloud control platform, and after receiving the conversion signal, the 5G cloud control platform controls the street lamp to carry out lamp tube conversion, namely, an incandescent lamp is converted into a halogen lamp;
if the conversion coefficient ZH of the street lamp is smaller than the conversion coefficient threshold value, judging that the current weather is not heavy fog, generating a reverse conversion signal and sending the reverse conversion signal to the 5G cloud control platform, and after the 5G cloud control platform receives the reverse conversion signal, controlling the street lamp to perform lamp tube conversion, namely converting the halogen lamp into the incandescent lamp.
2. The intelligent street lamp and the remote fault control system thereof as claimed in claim 1, wherein the registration login unit is used for the manager and the maintainer to submit the manager information and the maintainer information to register through the mobile phone terminal, and to send the manager information and the maintainer information which are successfully registered to the database for storage, the manager information includes the name, the age, the time of entry and the mobile phone number of the real name authentication of the person, and the maintainer information includes the name, the age, the time of entry and the mobile phone number of the real name authentication of the person.
3. The intelligent street lamp and the remote fault control system thereof according to claim 1, wherein the adjusting unit is configured to analyze vehicle information and adjust an angle of the street lamp, the vehicle information includes speed data, quantity data and traffic flow data, the speed data is a difference between a speed before deceleration and a speed after deceleration of a vehicle, the quantity data is a total number of vehicles decelerating while passing through the street lamp, the traffic flow data is a number of vehicles passing through within twenty minutes, the street lamp is marked as i, i-1, 2.
S1: acquiring a difference value between the speed of the vehicle before deceleration and the speed of the vehicle after deceleration, and marking the difference value between the speed of the vehicle before deceleration and the speed of the vehicle after deceleration as Ji;
s2: acquiring the total number of vehicles which decelerate when passing through a street lamp, and marking the total number of the vehicles which decelerate when passing through the street lamp as Si;
s3: acquiring the number of vehicles passing within twenty minutes, and marking the number of vehicles passing within twenty minutes as Ci;
s4: by the formula
Obtaining an adjusting coefficient Xi of the street lamp, wherein b1, b2 and b3 are all preset proportional coefficients, b1 is greater than b2 and greater than b3 is greater than 0, and alpha is an error correction factor and is 1.2365412;
s5: comparing the adjusting coefficient Xi of the street lamp with a street lamp adjusting coefficient threshold value:
if the adjusting coefficient Xi of the street lamp is larger than or equal to the threshold value of the adjusting coefficient of the street lamp, judging that the current angle of the street lamp is not beneficial to vehicle driving, generating an adjusting signal and sending the adjusting signal to the 5G cloud control platform, and after receiving the adjusting signal, the 5G cloud control platform adjusts the irradiation angle of the street lamp;
if the adjusting coefficient Xi of the street lamp is smaller than the threshold value of the adjusting coefficient of the street lamp, judging that the current angle of the street lamp is favorable for the vehicle to run, generating a recording signal and sending the recording signal to the 5G cloud control platform, and after receiving the recording signal, the 5G cloud control platform records the current irradiation angle of the street lamp and sends the irradiation angle to the database for storage.
4. The intelligent street lamp and the remote fault control system thereof according to claim 1, wherein the charging unit is configured to convert solar energy into electric energy, store the electric energy, and then use the stored electric energy for street lamp power supply, and the specific power supply manner is as follows:
SS 1: acquiring the total quantity of street lamps and the electric energy consumption of the street lamps, respectively and correspondingly marking the total quantity of the street lamps and the electric energy consumption of the street lamps as SL and XH, and acquiring the predicted required electric energy of the street lamps according to a formula YJ (SL multiplied by XH);
SS 2: the method comprises the steps of obtaining an illumination coefficient of the current environment, comparing the illumination coefficient with a coefficient threshold, generating a charging signal and sending the charging signal to a 5G cloud control platform if the illumination coefficient is larger than or equal to the illumination coefficient threshold, turning off a street lamp and charging through a charging unit after the 5G cloud control platform receives the charging signal, and marking electric energy supplemented all day long as actual supplementary electric energy;
SS 3: when the illumination coefficient is less than the illumination coefficient threshold value, then generate the illumination signal and send the illumination signal to the 5G cloud control platform, after the 5G cloud control platform receives the illumination signal, acquire actual supplementary electric energy and compare actual supplementary electric energy with the expected demand electric energy:
SS 31: if the actual supplementary electric energy is less than or equal to the predicted required electric energy, judging that the electric energy does not meet the use requirement, controlling the street lamp to be used for alternate lighting, simultaneously generating a lighting adjusting signal, sending the lighting adjusting signal to an adjusting unit, and adjusting the illumination angle of the street lamp after the adjusting unit receives the lighting adjusting signal;
SS 32: if the actual supplementary electric energy is larger than the predicted required electric energy, judging that the electric energy meets the use requirement, and transmitting the redundant electric energy to a public electric appliance for use, wherein the public electric appliance is a roadside billboard and a roadside indicator light;
SS 4: when the street lamp is used for lighting, the residual electric quantity of the actual supplementary electric energy is obtained in real time, if the residual electric quantity is smaller than the residual threshold value, a power distribution demand signal is generated, and the power distribution demand signal is sent to a national power grid.
5. The intelligent street lamp and the remote fault control system thereof according to claim 1, wherein the detection unit is used for analyzing the usage information of the street lamp and detecting the fault of the street lamp, the usage information of the street lamp is temperature data, duration data and frequency data, the temperature data is the sum of the maximum temperature when the street lamp is turned on and the maximum temperature after the street lamp is turned off, the duration data is the sum of the duration of the street lamp and the duration of the street lamp not being used, the frequency data is the sum of the number of times the street lamp is turned on and the number of times the street lamp flashes in use, and the specific analysis and detection process is as follows:
l1: acquiring the sum of the maximum temperature when the street lamp is turned on and the maximum temperature after the street lamp is turned off, and marking the sum of the maximum temperature when the street lamp is turned on and the maximum temperature after the street lamp is turned off as WDi;
l2: acquiring the sum of the using time length of the street lamp and the unused time length of the street lamp, and marking the sum of the using time length of the street lamp and the unused time length of the street lamp as SCi;
l3: acquiring the sum of the number of times of starting the street lamp and the number of flickering times of the street lamp in use, and marking the sum of the number of times of starting the street lamp and the number of flickering times of the street lamp in use as CSi;
l4: by the formula
Obtaining a maintenance coefficient Wxi of the street lamp, wherein x1, x2 and x3 are all preset proportionality coefficients, and x1 is larger than x2 and x3 is larger than 0;
l5: comparing the maintenance coefficient Wxi of the street lamp with a maintenance coefficient threshold value:
if the maintenance coefficient Wxi is larger than or equal to the maintenance coefficient threshold value, judging that the state of the street lamp is abnormal, generating a street lamp maintenance signal and sending the street lamp maintenance signal to the 5G cloud control platform, after receiving the maintenance signal, the 5G cloud control platform sends the maintenance signal and the street lamp number to be maintained to a mobile phone terminal of a maintenance worker, and meanwhile, controlling a normal street lamp to shift the illumination range to the illumination range of the street lamp to be maintained;
if the maintenance coefficient Wxi is smaller than the maintenance coefficient threshold value, judging that the street lamp state is normal, generating a street lamp normal signal and sending the street lamp normal signal to the 5G cloud control platform, and after receiving the normal signal, the 5G cloud control platform sends the normal signal and the number of the normal street lamp to a mobile phone terminal of a manager.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113705992A (en) * | 2021-08-17 | 2021-11-26 | 万申科技股份有限公司 | Edge control algorithm and system based on 5G + artificial neural network |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113705992A (en) * | 2021-08-17 | 2021-11-26 | 万申科技股份有限公司 | Edge control algorithm and system based on 5G + artificial neural network |
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