CN116828671A - Intelligent street lamp control method, system and storage medium based on edge computing gateway - Google Patents

Intelligent street lamp control method, system and storage medium based on edge computing gateway Download PDF

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Publication number
CN116828671A
CN116828671A CN202311101030.7A CN202311101030A CN116828671A CN 116828671 A CN116828671 A CN 116828671A CN 202311101030 A CN202311101030 A CN 202311101030A CN 116828671 A CN116828671 A CN 116828671A
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light transmittance
street lamp
solar
conversion efficiency
photoelectric conversion
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CN116828671B (en
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杨俊年
吴烈
姜周平
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Shenzhen Luoding Photoelectric Tech Co ltd
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Shenzhen Luoding Photoelectric Tech Co ltd
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    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05BELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10Controlling the light source
    • H05B47/105Controlling the light source in response to determined parameters
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40Control techniques providing energy savings, e.g. smart controller or presence detection

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Abstract

The application discloses an intelligent street lamp control method, a system and a storage medium based on an edge computing gateway, and particularly relates to the technical field of street lamp control, wherein the comprehensive light transmittance, a photoelectric conversion efficiency average value and a photoelectric conversion efficiency stable change coefficient are subjected to normalization processing to enable the evaluation result of the solar energy conversion performance of a solar intelligent street lamp to be more comprehensive and accurate, and measures can be taken for the solar intelligent street lamp according to different requirements and actual conditions, so that the performance and the running stability of the intelligent street lamp are improved; through generating the normal signal of electric quantity or the signal of electric quantity lack, under the condition of generating the normal signal of electric quantity, through adjusting the sensitivity of predetermineeing, calculate the sensitivity adjustment value, realize the sensitivity adjustment to solar energy wisdom street lamp, make solar energy wisdom street lamp can adjust illumination luminance and sensitivity in a flexible way according to real-time energy situation and conversion performance to guarantee the high-efficient operation and the energy-conserving solar energy resource that utilizes of solar energy wisdom street lamp.

Description

Intelligent street lamp control method, system and storage medium based on edge computing gateway
Technical Field
The application relates to the technical field of street lamp control, in particular to an intelligent street lamp control method, an intelligent street lamp control system and a storage medium based on an edge computing gateway.
Background
The edge computing gateway is a key component of edge computing, and is equipment or software deployed on edge computing nodes, and is used for connecting local equipment and cloud resources to realize the function of edge computing. Edge computing is a distributed computing model whose primary goal is to perform data processing and computation on edge devices that are close to the data source, rather than sending all the data to a centralized cloud server for processing. The edge computing gateway plays a role of a bridge on the edge node, so that data can be processed and decided rapidly locally, and data transmission delay and network load are reduced.
Under the scene of park view, use there is solar energy wisdom street lamp, solar energy wisdom street lamp absorbs solar energy and turns into the electric energy daytime, open solar energy wisdom street lamp at night, under park view's scene, because the place occupation of land is great and population density is lower, after getting rid of the solar energy wisdom street lamp that necessary illumination mode is normally bright illumination, if necessary safe illumination, all the other solar energy wisdom street lamps that set up the illumination mode for self-adaptation illumination, self-adaptation illumination is whether can be opened according to whether someone and confirm of solar energy wisdom street lamp.
The electric quantity stored in the electric storage device arranged in the solar intelligent street lamp is generally smaller, a large amount of electric quantity cannot be stored in actual working, monitoring on the running state of the solar intelligent street lamp is not accurate enough and real-time, the effect that the solar intelligent street lamp absorbs solar energy to convert the solar energy into electric energy is poor when the running state of the solar intelligent street lamp is poor, normal operation of the solar intelligent street lamp is adversely affected, the lighting effect under the scene of garden landscapes cannot be achieved well, and the lighting strategy cannot be flexibly adjusted according to the running state of the solar intelligent street lamp.
In order to solve the above problems, a technical solution is now provided.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present application provide an intelligent street lamp control method, system and storage medium based on an edge computing gateway to solve the above-mentioned problems in the prior art.
In order to achieve the above purpose, the present application provides the following technical solutions:
the intelligent street lamp control method based on the edge computing gateway comprises the following steps:
step S1: collecting solar panel light transmittance information, calculating solar panel light transmittance according to the solar panel light transmittance information, and calculating comprehensive light transmittance through analyzing deviation conditions that the solar panel light transmittance is smaller than a light transmittance threshold value;
step S2: collecting solar energy conversion efficiency information, calculating photoelectric conversion efficiency, calculating a photoelectric conversion efficiency average value according to the photoelectric conversion efficiency, and calculating a photoelectric conversion efficiency stable change coefficient according to the photoelectric conversion efficiency;
step S3: calculating a light conversion comprehensive performance evaluation coefficient through normalization processing by using the comprehensive light transmittance, the photoelectric conversion efficiency average value and the photoelectric conversion efficiency stable change coefficient, and generating a better-running signal, a normal-running signal or a poor-running signal through comparison of the light conversion comprehensive performance evaluation coefficient with a first performance evaluation threshold value and a second performance evaluation threshold value;
step S4: acquiring the current day of stored electricity, and generating an electricity normal signal or an electricity shortage signal according to the comparison between the current day of stored electricity and a current day of stored electricity threshold; and screening out the solar intelligent street lamp generating the poor running signal, and performing light control on the solar intelligent street lamp generating the good running signal and the normal running signal.
In a preferred embodiment, in step S1, the solar panel light transmittance information is represented by a comprehensive light transmittance, and the logic for obtaining the comprehensive light transmittance is as follows:
setting a solar energy acquisition interval, uniformly setting a plurality of light transmittance monitoring points in the solar energy acquisition interval, and calculating the light transmittance of the solar panel corresponding to each light transmittance monitoring point, wherein the expression is as follows:; wherein ,/>Respectively the light transmittance, the transmitted light intensity and the incident light intensity of the solar panel;
Setting a light transmittance threshold value, acquiring the number of solar panel light transmittance values, corresponding to light transmittance monitoring points in a solar energy acquisition interval, of solar panels, the light transmittance values of which are smaller than the light transmittance threshold value, and numbering the solar panel light transmittance values, corresponding to the light transmittance monitoring points in the solar energy acquisition interval, of solar panels; the comprehensive light transmittance is calculated, and the expression is as follows:; wherein ,/>Respectively the comprehensive light transmittance and the number of +.>Solar panel transmittance and transmittance threshold, +.>In order to obtain the quantity of solar panel light transmittance that the solar panel light transmittance corresponding to the light transmittance monitoring point is smaller than the light transmittance threshold value in the interval of solar energy +.>In order to obtain the number of the solar panel light transmittance of which the light transmittance of the solar panel corresponding to the light transmittance monitoring point in the interval is smaller than the light transmittance threshold value,,/>is a positive integer greater than 1.
In a preferred embodiment, in step S2; calculating photoelectric conversion efficiency, wherein the photoelectric conversion efficiency is the ratio of output electric power to incident sunlight power in unit area;
in the solar energy acquisition interval, the solar energy acquisition interval is uniformly arranged according to the actual monitoring requirementEach photoelectric conversion efficiency monitoring pointEach photoelectric conversion efficiency monitoring point corresponds to one photoelectric conversion efficiency, < >>Numbering photoelectric conversion efficiencies corresponding to photoelectric conversion efficiency monitoring points in a solar energy acquisition interval for positive integers;
calculating a photoelectric conversion efficiency average value in a solar energy acquisition interval; the expression is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the Calculating a stable change coefficient of photoelectric conversion efficiency, wherein the expression is as follows:
wherein ,for the number of photoelectric conversion efficiency corresponding to the photoelectric conversion efficiency monitoring point in the solar energy acquisition interval, +.>Is the average value of photoelectric conversion efficiency; />The photoelectric conversion efficiency stable change coefficient is +.>Photoelectric conversion efficiency of the solar cell and the solar cell in the solar energy acquisition region>And photoelectric conversion efficiency.
In a preferred embodiment, in step S3, the integrated light transmittance, the average value of the photoelectric conversion efficiency, and the stable change coefficient of the photoelectric conversion efficiency are normalized by the edge calculation gateway to calculate an evaluation coefficient of the integrated light conversion performance;
setting a first performance evaluation threshold and a second performance evaluation threshold, wherein the first performance evaluation threshold is smaller than the second performance evaluation threshold;
when the light conversion comprehensive performance evaluation coefficient is smaller than a first performance evaluation threshold value, generating a better-running signal; when the light conversion comprehensive performance evaluation coefficient is larger than or equal to the first performance evaluation threshold value and smaller than or equal to the second performance evaluation threshold value, generating a normal operation signal; when the light conversion integrated performance evaluation coefficient is greater than the second performance evaluation threshold, a poor performing signal is generated.
In a preferred embodiment, in step S4, the current day of stored electricity is obtained; setting a current day electricity storage threshold; when the current day of stored electricity is larger than the current day of stored electricity threshold value, generating an electricity quantity normal signal; generating a power shortage signal when the current day stored power is less than or equal to the current day stored power threshold;
and screening out the solar intelligent street lamp generating the poor running signal, and performing light control on the solar intelligent street lamp generating the good running signal and the normal running signal:
when generating a signal with normal electric quantity and generating a signal with better operation, keeping the preset illumination brightness and the preset sensitivity of the intelligent solar street lamp;
when generating an electric quantity normal signal and generating an operation normal signal, executing a sensitivity adjusting step, wherein the sensitivity adjusting step is as follows:
the preset sensitivity is adjusted, and a sensitivity adjustment value is calculated, wherein the expression is as follows:, wherein ,/>The method comprises the steps of respectively obtaining a sensitivity adjustment value, preset sensitivity, a first performance evaluation threshold value, a second performance evaluation threshold value and a sensitivity adjustment coefficient;
when the power shortage signal is generated, performing a sensitivity adjustment step at this time, regardless of whether the better-running signal or the normal-running signal is generated; the intelligent solar street lamp comprises preset illumination brightness and low-power consumption brightness, and when the electric quantity shortage signal is generated, the intelligent solar street lamp is set to be low-power consumption brightness.
In a preferred embodiment, the intelligent street lamp control system based on the edge computing gateway comprises a data processing module, and an information acquisition module, a light conversion judging module, an electric quantity judging module and a sensitivity adjusting module which are in communication connection with the data processing module;
the information acquisition module acquires the light transmission information of the solar panel, sends the light transmission information of the solar panel to the data processing module, and calculates to obtain the comprehensive light transmission expression;
the information acquisition module acquires solar energy conversion efficiency information, sends the solar energy conversion efficiency information to the data processing module, and calculates to obtain a photoelectric conversion efficiency average value and a photoelectric conversion efficiency stable change coefficient;
calculating a light conversion comprehensive performance evaluation coefficient through normalization processing of a data processing module by using the comprehensive light transmittance, the photoelectric conversion efficiency average value and the photoelectric conversion efficiency stable change coefficient;
the optical conversion judging module generates a better-running signal, a normal-running signal or a bad-running signal through comparing the optical conversion comprehensive performance evaluation coefficient with a first performance evaluation threshold value and a second performance evaluation threshold value;
the electric quantity judging module generates an electric quantity normal signal or an electric quantity deficient signal through comparing the current day stored electricity with a current day stored electricity threshold value;
the sensitivity adjustment module performs a sensitivity adjustment step when generating the electric quantity normal signal and generating the operation normal signal, and calculates a sensitivity adjustment value through the data processing module.
In a preferred embodiment, the storage medium for intelligent street lamp control based on the edge computing gateway is used for storing data collected in the intelligent street lamp control method based on the edge computing gateway and generated signals, and the stored collected data and the generated signals are used for realizing the intelligent street lamp control method based on the edge computing gateway.
The intelligent street lamp control method, the intelligent street lamp control system and the intelligent street lamp storage medium based on the edge computing gateway have the technical effects and advantages that:
1. the solar energy conversion performance evaluation result of the solar intelligent street lamp is more comprehensive and accurate through the normalization processing of the comprehensive light transmittance, the average value of the photoelectric conversion efficiency and the stable change coefficient of the photoelectric conversion efficiency, and the running state of the solar intelligent street lamp can be monitored in real time through the calculation of the comprehensive light conversion performance evaluation coefficient and the judgment of the running state, so that the normal running of the intelligent street lamp is ensured, the solar energy resource is effectively utilized, and stable illumination and energy supply are provided. In addition, by setting the first performance evaluation threshold and the second performance evaluation threshold, measures can be taken for the solar intelligent street lamp according to different requirements and actual conditions, and the performance and the running stability of the intelligent street lamp are further improved.
2. The solar intelligent street lamp running state is monitored and judged by acquiring the current day stored electric quantity in real time and generating an electric quantity normal signal or an electric quantity deficient signal according to a set current day stored electric quantity threshold value; under the condition of generating an electric quantity normal signal, the sensitivity adjustment value is calculated by adjusting the preset sensitivity, so that the sensitivity adjustment of the solar intelligent street lamp is realized, and the response time and accuracy are improved; the intelligent solar street lamp can flexibly adjust illumination brightness and sensitivity according to real-time energy conditions and conversion performance, so that efficient operation of the intelligent solar street lamp is guaranteed, and solar resources are utilized in an energy-saving mode.
Drawings
FIG. 1 is a schematic diagram of an intelligent street lamp control method based on an edge computing gateway;
fig. 2 is a schematic structural diagram of the intelligent street lamp control system based on the edge computing gateway.
Detailed Description
The following description of the embodiments of the present application 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 application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
Fig. 1 shows an intelligent street lamp control method based on an edge computing gateway, which comprises the following steps:
step S1: collecting solar panel light transmittance information, calculating solar panel light transmittance according to the solar panel light transmittance information, and calculating comprehensive light transmittance through analyzing deviation conditions that the solar panel light transmittance is smaller than a light transmittance threshold value.
Step S2: collecting solar energy conversion efficiency information, calculating photoelectric conversion efficiency, calculating a photoelectric conversion efficiency average value according to the photoelectric conversion efficiency, and calculating a photoelectric conversion efficiency stable change coefficient according to the photoelectric conversion efficiency.
Step S3: and calculating a light conversion comprehensive performance evaluation coefficient through normalization processing by using the comprehensive light transmittance, the photoelectric conversion efficiency average value and the photoelectric conversion efficiency stable change coefficient, and generating a better-running signal, a normal-running signal or a poor-running signal through comparison of the light conversion comprehensive performance evaluation coefficient with a first performance evaluation threshold value and a second performance evaluation threshold value.
Step S4: acquiring the current day of stored electricity, and generating an electricity normal signal or an electricity shortage signal according to the comparison between the current day of stored electricity and a current day of stored electricity threshold; and screening out the solar intelligent street lamp generating the poor running signal, and performing light control on the solar intelligent street lamp generating the good running signal and the normal running signal.
In step S1, light transmittance information of the solar panel is collected, where the light transmittance of the solar panel refers to the ability of solar light to pass through the solar panel, i.e. how much proportion of the light can pass through the solar panel without being absorbed or reflected after entering the solar panel; the light transmittance of the solar panel is very important to the effect of the solar panel on the absorption of solar energy, and when the solar light irradiates the surface of the solar panel, a part of light is absorbed by the solar panel and converted into electric energy; another part of the light is reflected or refracted and cannot be utilized by the solar panel. The high light transmittance means that more light can pass through the solar panel to be absorbed, thereby improving the photoelectric conversion efficiency of the solar panel; the low light transmittance can reduce the solar energy utilization efficiency of the solar panel and reduce the output of electric energy.
Factors that affect the light transmittance of a solar panel include, but are not limited to:
and (3) material degradation: the materials used for the solar panel can be degraded with the passage of time, so that the change of optical performance is caused, and the light transmittance is influenced; surface contamination: contaminants on the surface of the solar panel, such as dust, grease, leaves and the like, can reduce the light transmission capacity and influence the light transmittance; surface damage: damage such as scratches, cracks or abrasion on the surface of the solar panel can lead to light reflection and scattering, reduce light transmission capacity and influence light transmittance; dust accumulation: in the long-term use process, certain dust can be accumulated on the solar panel, and the light transmission efficiency is affected.
The light transmittance information of the solar panel is reflected through comprehensive light transmittance, and the acquisition logic of the comprehensive light transmittance is as follows:
setting a solar energy acquisition interval, uniformly setting a plurality of light transmittance monitoring points in the solar energy acquisition interval, wherein the light transmittance monitoring points correspond to the light transmittance of the solar panel, and calculating the light transmittance of the solar panel corresponding to each light transmittance monitoring point, wherein the expression is as follows:; wherein ,/>The transmittance, the transmitted light intensity and the incident light intensity of the solar panel are respectively.
The higher light transmittance of the solar panel means that more solar rays can penetrate the solar panel to be absorbed, thereby improving the photoelectric conversion efficiency of the solar panel; conversely, a lower transmittance of the solar panel means that less solar rays penetrate the solar panel to be absorbed, and the lower the photoelectric conversion efficiency of the solar panel.
The transmitted light intensity refers to the intensity of light passing through the solar panel; the incident light intensity refers to the intensity of light striking the surface of the solar panel.
And setting a light transmittance threshold, wherein when the light transmittance of the solar panel is smaller than the light transmittance threshold, the light transmittance of the solar panel is lower, and the adverse effect on the photoelectric conversion efficiency of the solar panel is larger.
The method comprises the steps of obtaining the quantity of solar panel light transmittance, corresponding to the light transmittance monitoring points, in a solar energy obtaining interval, smaller than a light transmittance threshold, numbering the solar panel light transmittance, corresponding to the light transmittance monitoring points, in the solar energy obtaining interval, and reflecting the light transmittance in the solar energy obtaining interval more accurately by analyzing the deviation condition that the light transmittance of the solar panel is smaller than the light transmittance threshold.
The comprehensive light transmittance is calculated, and the expression is as follows:; wherein ,respectively the comprehensive light transmittance and the number of +.>Solar panel light transmittance and light transmittance threshold,in order to obtain the quantity of solar panel light transmittance that the solar panel light transmittance corresponding to the light transmittance monitoring point is smaller than the light transmittance threshold value in the interval of solar energy +.>For the number of solar panel light transmittance, which is smaller than the light transmittance threshold value, corresponding to the light transmittance monitoring point in the solar energy acquisition interval, +.>,/>Is a positive integer greater than 1. The larger the comprehensive light transmittance is, the larger the deviation between the light transmittance of the solar panel and the light transmittance threshold value is, and the larger the adverse effect on the photoelectric conversion efficiency of the solar panel is.
The solar energy acquisition interval is a time period for the solar intelligent street lamp to absorb solar energy and convert the solar energy into electric energy in daytime, and the specific setting is set by a person skilled in the art according to the actual situation of the area and other actual situations, for example, the setting can be set to 05:00-18:00, which are not described in detail herein.
The light transmittance monitoring point is a time point for monitoring the light transmittance of the solar panel in the solar energy acquisition interval, and is set according to other actual conditions such as detection requirements.
The light transmittance threshold is set according to the light transmittance of the solar panel and other practical situations such as the practical requirement on the light transmittance of the solar panel, and will not be described here.
In step S2, solar energy conversion efficiency information is collected, and the influence of low solar energy conversion efficiency on the solar intelligent street lamp is various, wherein the low solar energy conversion efficiency means that the solar cell panel cannot fully utilize solar energy, so that generated electric energy is insufficient; this can lead to the solar intelligent street lamp not obtaining enough energy supply at night, possibly leading to unstable operation of the street lamp, frequent extinction or shortened operation time; the low solar energy conversion efficiency means that the solar panel cannot effectively utilize solar energy resources.
The photoelectric conversion efficiency is calculated, and is the ratio of the output electric power of a unit area to the incident solar power, wherein the photoelectric conversion efficiency is the ratio of the solar battery to convert the solar light into electric energy. The higher the photoelectric conversion efficiency, the higher the energy conversion efficiency of the solar cell.
Notably, the photoelectric conversion efficiency is generally expressed in terms of unit area, so that the performance of solar cells of different sizes and types can be better compared; for example, the photoelectric conversion efficiency of solar panels of different sizes can be directly compared under the same illumination condition, regardless of their actual area; therefore, a unit area is a common standard to represent the photoelectric conversion efficiency of a solar cell.
The output electric power refers to the power of electric energy output by the solar cell panel in an operating state, and the incident solar power refers to the power of solar light irradiated onto the solar cell panel. These two parameters are measured and obtained.
The output electric power may be calculated by measuring the output voltage and the output current of the solar panel. The method comprises the following specific steps:
measuring the output voltage of the solar panel by using a voltmeter, and recording as V (unit: volt); measuring the output current of the solar panel by using an ammeter, and recording as I (unit: ampere); the output electric power P can be calculated by the following formula: p=v×i.
Incident solar power refers to the total power of solar light impinging on the solar panel. Obtained by specialized solar measurement devices, common devices include solar radiometers or solar illuminometers.
The solar radiometer can directly measure the total radiant energy of sunlight irradiated on the solar panel and then convert the total radiant energy into power; the solar illuminometer can measure the irradiance of sunlight in unit area, so that the incident sunlight power is obtained through the product of the area and the irradiance.
In the solar energy acquisition interval, the solar energy acquisition interval is uniformly arranged according to the actual monitoring requirementEach photoelectric conversion efficiency monitoring point corresponds to one calculated photoelectric conversion efficiency,/one>And numbering the photoelectric conversion efficiency corresponding to the photoelectric conversion efficiency monitoring point in the solar energy acquisition interval by taking the photoelectric conversion efficiency monitoring point as a positive integer.
Calculating a photoelectric conversion efficiency average value in a solar energy acquisition interval; the expression is as follows:the lower the average value of the photoelectric conversion efficiency, the lower the photoelectric conversion efficiency of the solar panel.
Analysis of photoelectric conversion efficiency in solar energyThe stability in the interval is obtained, and the stable change coefficient of the photoelectric conversion efficiency is calculated, wherein the expression is as follows:
wherein ,for the number of photoelectric conversion efficiency corresponding to the photoelectric conversion efficiency monitoring point in the solar energy acquisition interval, +.>Is the average value of photoelectric conversion efficiency; />The photoelectric conversion efficiency stable change coefficient is +.>Photoelectric conversion efficiency of the solar cell and the solar cell in the solar energy acquisition region>And photoelectric conversion efficiency.
The greater the stable change coefficient of the photoelectric conversion efficiency, the poorer the stability of the photoelectric conversion efficiency in the solar energy acquisition interval, which means that the greater the fluctuation degree of the photoelectric conversion efficiency of the solar cell in the solar energy acquisition interval, namely, the higher the variability of the photoelectric conversion efficiency. The solar energy intelligent street lamp has the advantages that the energy conversion efficiency of the solar cell under different illumination conditions is greatly changed, the stability is poor, the uncertainty of energy output is caused, and the stable illumination and energy supply of the solar intelligent street lamp are affected.
In step S3, the light transmission information and the solar energy conversion efficiency information of the solar panel are comprehensively analyzed, the solar energy conversion performance of the solar intelligent street lamp is evaluated, the running state of the solar intelligent street lamp can be monitored in real time, and the control strategy of the solar intelligent street lamp can be supported.
Carrying out normalization processing on the comprehensive light transmittance, the average value of the photoelectric conversion efficiency and the stable change coefficient of the photoelectric conversion efficiency through an edge computing gateway of the solar intelligent street lamp to calculate a light conversion comprehensive performance evaluation coefficient; for example, the present application may calculate the light conversion comprehensive performance evaluation coefficient using the following formula:
; wherein ,/>Evaluating coefficients for light conversion comprehensive performance; />Respectively, the preset proportionality coefficient of the comprehensive light transmittance, the average value of the photoelectric conversion efficiency and the stable change coefficient of the photoelectric conversion efficiency, +.>Greater than 0->Less than 0.
Through the comprehensive performance evaluation coefficient of light conversion, the running state of the solar intelligent street lamp is monitored in real time, so that the normal running of the solar intelligent street lamp is ensured.
The larger the light conversion comprehensive performance evaluation coefficient is, the worse the running state of the solar intelligent street lamp is.
Setting a first performance evaluation threshold and a second performance evaluation threshold, wherein the first performance evaluation threshold is smaller than the second performance evaluation threshold; the first performance evaluation threshold and the second performance evaluation threshold are set by a person skilled in the art according to the magnitude of the light conversion comprehensive performance evaluation coefficient and the actual conditions such as the requirement standard of the solar energy conversion process of the solar intelligent street lamp in the technical field of the art, and are not described herein.
Comparing the light conversion comprehensive performance evaluation coefficient with a first performance evaluation threshold value and a second performance evaluation threshold value, and judging the running state of the solar intelligent street lamp:
when the light conversion comprehensive performance evaluation coefficient is smaller than the first performance evaluation threshold value, a better-operation signal is generated, and at the moment, the operation state of the intelligent solar street lamp is better, so that the normal solar energy acquisition and the solar energy photoelectric conversion can be ensured, and no measures are required at the moment.
When the light conversion comprehensive performance evaluation coefficient is larger than or equal to the first performance evaluation threshold value and smaller than or equal to the second performance evaluation threshold value, a normal operation signal is generated, and at the moment, although the problems of poor light transmittance and poor photoelectric conversion efficiency of the solar panel may exist, the intelligent solar street lamp can normally operate.
When the light conversion comprehensive performance evaluation coefficient is larger than the second performance evaluation threshold value, generating a running bad signal, wherein the running state of the solar intelligent street lamp is poor at the moment, and normal solar energy acquisition and solar energy photoelectric conversion cannot be ensured; at this time, according to the generated operation bad signal, a quasi-yarrower is arranged to inspect and repair the solar intelligent street lamp.
The solar energy conversion performance evaluation result of the solar intelligent street lamp is more comprehensive and accurate through the normalization processing of the comprehensive light transmittance, the average value of the photoelectric conversion efficiency and the stable change coefficient of the photoelectric conversion efficiency, and the running state of the solar intelligent street lamp can be monitored in real time through the calculation of the comprehensive light conversion performance evaluation coefficient and the judgment of the running state, so that the normal running of the intelligent street lamp is ensured, the solar energy resource is effectively utilized, and stable illumination and energy supply are provided. In addition, by setting the first performance evaluation threshold and the second performance evaluation threshold, measures can be taken for the solar intelligent street lamp according to different requirements and actual conditions, and the performance and the running stability of the intelligent street lamp are further improved.
In step S4, the current day of electricity is obtained, which is the electricity stored in the solar intelligent street lamp when the solar intelligent street lamp is about to be turned on.
The current day storage threshold is set by a person skilled in the art according to the type of the solar intelligent street lamp and other practical situations such as the electric quantity required at actual night, and will not be described here again.
And when the current day of stored electricity is larger than the current day of stored electricity threshold value, generating an electricity quantity normal signal.
And when the current day of stored electricity is smaller than or equal to the current day of stored electricity threshold value, generating an electricity shortage signal.
And screening out the solar intelligent street lamp generating the poor running signal, and performing light control on the rest solar intelligent street lamps generating the good running signal and the normal running signal:
when the electric quantity normal signal is generated and the signal with better operation is generated, the preset illumination brightness and the preset sensitivity of the solar intelligent street lamp are maintained.
Because when generating the normal signal of operation, do not represent the solar energy conversion performance of solar energy wisdom street lamp and have not had the problem, in order to better saving electric quantity in order to deal with probably breaking down solar energy wisdom street lamp, adjust the sensitivity of predetermineeing to the normal operating of better assurance solar energy wisdom street lamp.
When generating an electric quantity normal signal and generating an operation normal signal, executing a sensitivity adjusting step, wherein the sensitivity adjusting step specifically comprises the following steps:
the preset sensitivity is adjusted, and a sensitivity adjustment value is calculated, wherein the expression is as follows:, wherein ,/>The sensitivity adjustment value, the preset sensitivity, the first performance evaluation threshold, the second performance evaluation threshold and the sensitivity adjustment coefficient are respectively.
The greater the light conversion comprehensive performance evaluation coefficient is, the worse the running state of the solar intelligent street lamp is, the smaller the sensitivity adjustment value is, and the lower the anti-sensitivity for determining whether the solar intelligent street lamp is started or not is.
The sensitivity adjustment coefficient is set according to the actual situation, and will not be described herein.
When the power starved signal is generated, the sensitivity adjustment step is performed regardless of whether the well-functioning signal or the well-functioning signal is generated, and will not be described in detail herein.
The intelligent solar street lamp comprises preset illumination brightness and low-power consumption brightness, and when the electric quantity starvation signal is generated, the light brightness is adjusted, and the intelligent solar street lamp is set to be low-power consumption brightness.
The specific brightness setting of the preset illumination brightness and the low-power consumption brightness is set by a person skilled in the art according to the actual situation, and will not be described here again.
The preset illumination brightness and the preset sensitivity are set according to actual conditions, and can be standard values set by factory or can be set by a person skilled in the art according to actual conditions.
The solar intelligent street lamp running state is monitored and judged by acquiring the current day stored electric quantity in real time and generating an electric quantity normal signal or an electric quantity deficient signal according to a set current day stored electric quantity threshold value; under the condition of generating an electric quantity normal signal, the sensitivity adjustment value is calculated by adjusting the preset sensitivity, so that the sensitivity adjustment of the solar intelligent street lamp is realized, and the response time and accuracy are improved; the intelligent solar street lamp has the advantages that the illumination brightness and the sensitivity can be flexibly adjusted according to real-time energy conditions and conversion performance, so that the efficient operation of the intelligent solar street lamp is guaranteed, solar resources are utilized in an energy-saving mode, and the intelligent solar street lamp has good application value and beneficial effects.
Example 2
The embodiment 2 of the present application is different from the embodiment 1 in that the present embodiment describes an intelligent street lamp control system based on an edge computing gateway.
Fig. 2 shows a schematic structural diagram of the intelligent street lamp control system based on the edge computing gateway, which comprises a data processing module, an information acquisition module, an optical conversion judging module, an electric quantity judging module and a sensitivity adjusting module, wherein the information acquisition module, the optical conversion judging module, the electric quantity judging module and the sensitivity adjusting module are in communication connection with the data processing module.
The information acquisition module acquires the light transmission information of the solar panel, sends the light transmission information of the solar panel to the data processing module, and calculates to obtain the comprehensive light transmission expression rate.
The information acquisition module acquires solar energy conversion efficiency information, sends the solar energy conversion efficiency information to the data processing module, and calculates to obtain a photoelectric conversion efficiency average value and a photoelectric conversion efficiency stable change coefficient.
And calculating the light conversion comprehensive performance evaluation coefficient through normalization processing of the comprehensive light transmittance, the photoelectric conversion efficiency average value and the photoelectric conversion efficiency stable change coefficient by a data processing module, wherein the data processing module is realized based on an edge calculation gateway.
The optical conversion judging module generates a better-running signal, a normal-running signal or a bad-running signal through comparing the optical conversion comprehensive performance evaluation coefficient with a first performance evaluation threshold value and a second performance evaluation threshold value.
The electric quantity judging module generates an electric quantity normal signal or an electric quantity deficient signal through comparing the electric quantity stored on the same day with an electric quantity stored on the same day threshold value.
The sensitivity adjustment module performs a sensitivity adjustment step when generating the electric quantity normal signal and generating the operation normal signal, and calculates a sensitivity adjustment value through the data processing module.
Example 3
The intelligent street lamp control storage medium based on the edge computing gateway is used for storing data collected and generated signals in the intelligent street lamp control method based on the edge computing gateway, and the stored collected data and generated signals are used for realizing the intelligent street lamp control method based on the edge computing gateway.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, may be located in one place, or may be distributed over multiple 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 application 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 functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.

Claims (7)

1. The intelligent street lamp control method based on the edge computing gateway is characterized by comprising the following steps of:
step S1: collecting solar panel light transmittance information, calculating solar panel light transmittance according to the solar panel light transmittance information, and calculating comprehensive light transmittance through analyzing deviation conditions that the solar panel light transmittance is smaller than a light transmittance threshold value;
step S2: collecting solar energy conversion efficiency information, calculating photoelectric conversion efficiency, calculating a photoelectric conversion efficiency average value according to the photoelectric conversion efficiency, and calculating a photoelectric conversion efficiency stable change coefficient according to the photoelectric conversion efficiency;
step S3: calculating a light conversion comprehensive performance evaluation coefficient through normalization processing by using the comprehensive light transmittance, the photoelectric conversion efficiency average value and the photoelectric conversion efficiency stable change coefficient, and generating a better-running signal, a normal-running signal or a poor-running signal through comparison of the light conversion comprehensive performance evaluation coefficient with a first performance evaluation threshold value and a second performance evaluation threshold value;
step S4: acquiring the current day of stored electricity, and generating an electricity normal signal or an electricity shortage signal according to the comparison between the current day of stored electricity and a current day of stored electricity threshold; and screening out the solar intelligent street lamp generating the poor running signal, and performing light control on the solar intelligent street lamp generating the good running signal and the normal running signal.
2. The intelligent street lamp control method based on the edge computing gateway as claimed in claim 1, wherein: in step S1, the light transmittance information of the solar panel is represented by the comprehensive light transmittance, and the logic for obtaining the comprehensive light transmittance is as follows:
setting a solar energy acquisition interval, uniformly setting a plurality of light transmittance monitoring points in the solar energy acquisition interval, and calculating the light transmittance of the solar panel corresponding to each light transmittance monitoring point, wherein the expression is as follows:; wherein ,/>The light transmittance, the transmitted light intensity and the incident light intensity of the solar panel are respectively;
setting a light transmittance threshold value, acquiring the number of solar panel light transmittance values, corresponding to light transmittance monitoring points in a solar energy acquisition interval, of solar panels, the light transmittance values of which are smaller than the light transmittance threshold value, and numbering the solar panel light transmittance values, corresponding to the light transmittance monitoring points in the solar energy acquisition interval, of solar panels; the comprehensive light transmittance is calculated, and the expression is as follows:; wherein ,/>Respectively the comprehensive light transmittance and the number of +.>Solar panel transmittance and transmittance threshold, +.>In order to obtain the quantity of solar panel light transmittance that the solar panel light transmittance corresponding to the light transmittance monitoring point is smaller than the light transmittance threshold value in the interval of solar energy +.>In order to obtain the number of the solar panel light transmittance of which the light transmittance of the solar panel corresponding to the light transmittance monitoring point in the interval is smaller than the light transmittance threshold value,,/>is a positive integer greater than 1.
3. The intelligent street lamp control method based on the edge computing gateway as claimed in claim 2, wherein: in step S2; calculating photoelectric conversion efficiency, wherein the photoelectric conversion efficiency is the ratio of output electric power to incident sunlight power in unit area;
in the solar energy acquisition interval, the solar energy acquisition interval is uniformly arranged according to the actual monitoring requirementEach photoelectric conversion efficiency monitoring point corresponds to one photoelectric conversion efficiency, < >>Numbering photoelectric conversion efficiencies corresponding to photoelectric conversion efficiency monitoring points in a solar energy acquisition interval for positive integers;
calculating a photoelectric conversion efficiency average value in a solar energy acquisition interval; the expression is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Calculating a stable change coefficient of photoelectric conversion efficiency, wherein the expression is as follows: />
wherein ,to a photoelectric conversion efficiency monitoring point pair in a solar energy acquisition intervalThe number of photoelectric conversion efficiencies to be used,is the average value of photoelectric conversion efficiency; />The photoelectric conversion efficiency stable change coefficient is +.>Photoelectric conversion efficiency of the solar cell and the solar cell in the solar energy acquisition region>And photoelectric conversion efficiency.
4. The intelligent street lamp control method based on the edge computing gateway as claimed in claim 3, wherein: in step S3, the comprehensive light transmittance, the average value of the photoelectric conversion efficiency and the stable change coefficient of the photoelectric conversion efficiency are normalized through an edge computing gateway to calculate the comprehensive performance evaluation coefficient of the light conversion;
setting a first performance evaluation threshold and a second performance evaluation threshold, wherein the first performance evaluation threshold is smaller than the second performance evaluation threshold;
when the light conversion comprehensive performance evaluation coefficient is smaller than a first performance evaluation threshold value, generating a better-running signal; when the light conversion comprehensive performance evaluation coefficient is larger than or equal to the first performance evaluation threshold value and smaller than or equal to the second performance evaluation threshold value, generating a normal operation signal; when the light conversion integrated performance evaluation coefficient is greater than the second performance evaluation threshold, a poor performing signal is generated.
5. The intelligent street lamp control method based on the edge computing gateway as claimed in claim 4, wherein: in step S4, the current day of stored electricity is obtained; setting a current day electricity storage threshold; when the current day of stored electricity is larger than the current day of stored electricity threshold value, generating an electricity quantity normal signal; generating a power shortage signal when the current day stored power is less than or equal to the current day stored power threshold;
and screening out the solar intelligent street lamp generating the poor running signal, and performing light control on the solar intelligent street lamp generating the good running signal and the normal running signal:
when generating a signal with normal electric quantity and generating a signal with better operation, keeping the preset illumination brightness and the preset sensitivity of the intelligent solar street lamp;
when generating an electric quantity normal signal and generating an operation normal signal, executing a sensitivity adjusting step, wherein the sensitivity adjusting step is as follows:
the preset sensitivity is adjusted, and a sensitivity adjustment value is calculated, wherein the expression is as follows:, wherein ,/>The method comprises the steps of respectively obtaining a sensitivity adjustment value, preset sensitivity, a first performance evaluation threshold value, a second performance evaluation threshold value and a sensitivity adjustment coefficient;
when the power shortage signal is generated, performing a sensitivity adjustment step at this time, regardless of whether the better-running signal or the normal-running signal is generated; the intelligent solar street lamp comprises preset illumination brightness and low-power consumption brightness, and when the electric quantity shortage signal is generated, the intelligent solar street lamp is set to be low-power consumption brightness.
6. An intelligent street lamp control system based on an edge computing gateway, for implementing the intelligent street lamp control method based on the edge computing gateway as set forth in any one of claims 1 to 5, characterized in that: the device comprises a data processing module, an information acquisition module, an optical conversion judging module, an electric quantity judging module and a sensitivity adjusting module, wherein the information acquisition module, the optical conversion judging module, the electric quantity judging module and the sensitivity adjusting module are in communication connection with the data processing module;
the information acquisition module acquires the light transmission information of the solar panel, sends the light transmission information of the solar panel to the data processing module, and calculates to obtain the comprehensive light transmission expression;
the information acquisition module acquires solar energy conversion efficiency information, sends the solar energy conversion efficiency information to the data processing module, and calculates to obtain a photoelectric conversion efficiency average value and a photoelectric conversion efficiency stable change coefficient;
calculating a light conversion comprehensive performance evaluation coefficient through normalization processing of a data processing module by using the comprehensive light transmittance, the photoelectric conversion efficiency average value and the photoelectric conversion efficiency stable change coefficient;
the optical conversion judging module generates a better-running signal, a normal-running signal or a bad-running signal through comparing the optical conversion comprehensive performance evaluation coefficient with a first performance evaluation threshold value and a second performance evaluation threshold value;
the electric quantity judging module generates an electric quantity normal signal or an electric quantity deficient signal through comparing the current day stored electricity with a current day stored electricity threshold value;
the sensitivity adjustment module performs a sensitivity adjustment step when generating the electric quantity normal signal and generating the operation normal signal, and calculates a sensitivity adjustment value through the data processing module.
7. The storage medium of wisdom street lamp control based on edge calculation gateway, its characterized in that: the storage medium for intelligent street lamp control based on an edge computing gateway is used for storing data collected and generated signals in the intelligent street lamp control method based on the edge computing gateway, and the stored collected data and generated signals are used for realizing the intelligent street lamp control method based on the edge computing gateway according to any one of claims 1-5.
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Denomination of invention: Intelligent street light control method, system and storage medium based on edge computing gateway

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