CN113448356A - Intelligent adjustable energy conversion system - Google Patents
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Abstract
The invention belongs to the technical field of solar power generation, and discloses an intelligent adjustable energy conversion system which comprises a solar energy collection module, a solar energy storage module, an intelligent identification module, an intelligent adjustment module, a light energy conversion module, an electric energy storage module, an electric energy display module, a storage battery module, an electric quantity metering module and a central control and processing module. According to the invention, the intelligent identification module and the intelligent regulation module are arranged, the solar panel is regulated to the direction with the most sufficient illumination, so that the effect of fully collecting sunlight is achieved, the sunlight is converted into electric energy by the light energy conversion module, the solar light is utilized, the monitoring and control of each module are realized by the arrangement of the central control and processing module, the electric quantity used by the street lamp every day can be calculated by the arrangement of the electric quantity metering module, the sunlight is conveniently collected in time, the utilization of the sunlight is enhanced, the power supply time of the street lamp is further prolonged, and the problem of low utilization rate of the solar energy is solved.
Description
Technical Field
The invention belongs to the technical field of solar power generation, and particularly relates to an intelligent adjustable energy conversion system.
Background
At present, the solar energy saving field in China develops rapidly, how to convert solar energy into clean energy available for human beings more quickly and more becomes the focus of attention of people, solar energy systems used in the solar energy conversion field are various, but still have many problems and need to be further improved.
The existing facilities such as solar street lamps powered by solar energy are usually provided with a solar panel and an energy storage battery, namely a storage battery, on each facility such as a solar street lamp pole, so that solar energy is converted into electric energy and direct current, and then the direct current is directly converted into alternating current by using the direct current or the direct current is converted into the alternating current by an inverter to illuminate, but the solar panel is always in one position and cannot be converted, sunlight cannot be fully utilized, the power supply time is short, and the utilization rate is low.
Through the above analysis, the problems and defects of the prior art are as follows: solar panel absorbs solar energy among the prior art, can not convert solar panel's direction, and then can not realize make full use of solar energy, leads to the problem that the power supply time is short, and the utilization ratio is low.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an intelligent adjustable energy conversion system.
The invention is thus embodied in an intelligent adjustable energy conversion system comprising:
a solar energy collection module: the central control and processing module is connected with the solar energy collecting and processing module and is used for collecting the sunlight to realize the reasonable utilization of the sunlight;
a solar storage module: the solar energy collecting and converting module is connected with the central control and processing module and is used for collecting temporarily unconverted solar energy for storage;
the intelligent identification module: the central control and processing module is connected with the solar energy collecting and processing module and is used for identifying the direction of the sun and absorbing more light energy;
the intelligent regulation module: the solar panel is connected with the central control and processing module and used for adjusting the solar panel to the direction with the strongest sunlight illumination;
the intelligent adjusting module is provided with an illumination intensity acquisition module, a driving module and an angle detection module;
the illumination intensity acquisition module senses the intensity of solar illumination and transmits the intensity to the central control and processing module, the central control and processing module controls the driving module to change the angle of the solar panel, and the angle detection module detects the inclination angle of the solar panel in the angle adjustment process of the solar panel;
the illumination intensity acquisition module is internally provided with a photoelectric conversion module, an electric signal adjustment module, a temperature sensing module and a temperature compensation module;
the photoelectric conversion module converts the visible light illumination into an electric signal by using a photosensitive diode, and the electric signal is adjusted by the electric signal adjusting module;
after the adjustment of the electric signals is finished, the temperature sensing module senses the temperature difference in the temperature sensing module, and the temperature compensation module is used for carrying out temperature compensation on the photoelectric signals;
wherein, the specific process of temperature compensation by the temperature compensation module is as follows:
the BP consists of forward propagation of information and backward propagation of errors, and an input mode is transmitted to an output layer from an input layer through layer-by-layer processing of a hidden layer;
the output model of the BP network is:
wherein,
weights, n, for the neural network hidden layer and output layer, respectively0，n1Respectively inputting the node number and the hidden layer node number for the model;
excitation function of output layer neuronsGeneral rule f1Neuron excitation function f in the hidden layer, linear by default2The S function model at (0,1) is used as:
the transfer function adopted by the hidden layer of the BP neural network is a logarithmic S-shaped curve, and the output range of the logarithmic S-shaped curve is between (0 and 1); carrying out normalization processing on sample data:
wherein, Uin′，Pn' the nth sample neural network inputs and outputs a normalized value;
Uin，Pn，Uimax，Uimin，Pmax，Pminthe input and output calibration values and the maximum and minimum values of the ith sensor of the nth sample;
in the case of a target vector T, the error function is obtained by forward transfer of information as:
when the output layer does not obtain the expected result, returning the error signal along the original path and modifying the weight of each layer according to a certain weight correction formula until the error is minimum and finally the expected target value is reached;
the light energy conversion module: the solar energy collecting and processing module is connected with the central control and processing module and is used for converting the collected solar energy into electric energy;
a central control and processing module: the solar energy collecting module, the solar energy storage module, the intelligent identification module, the intelligent adjusting module, the light energy conversion module, the electric energy storage module, the electric energy display module, the storage battery module and the electric quantity metering module are connected, and are used for controlling and processing the functions of the modules and realizing the full utilization of solar energy;
an electric energy storage module: the solar energy storage device is connected with the central control and processing module and used for converting solar energy into electric energy for storage;
the electric energy display module: the central control and processing module is connected with the central control and processing module and is used for displaying the converted electric energy in real time;
a battery module: the central control and processing module is connected with the storage battery and is used for supplying electric quantity to the street lamp when the converted electric energy cannot meet the actual requirement;
electric quantity metering module: and the central control and processing module is connected with the central control and processing module and is used for calculating the average electric quantity used by each street lamp every day.
Further, the specific process of conditioning the electrical signal by the electrical signal adjustment module is as follows:
denoising the electric signals by adopting wavelet transformation, and extracting the low-frequency electric signals after decomposing the wavelet transformation to obtain corresponding extreme points;
setting the value of i as 1, acquiring low-frequency information of a second layer, acquiring an extreme point with an increased amplitude value by taking the extreme point acquired in the previous step as a reference basis, and removing the extreme point with a decreased amplitude value;
and repeating the process to obtain the denoised and conditioned electric signal.
Further, after the solar energy is converted into the light energy by the light energy conversion module, the converted direct current can be converted into alternating current by an inverter.
Furthermore, the driving module is provided with a bracket, and a bearing seat and a motor are arranged on the bracket;
the bearing block is provided with a rotating shaft, the rotating shaft is connected with an output shaft of the motor through a coupler, and the rotating shaft is provided with a solar cell panel.
Further, the specific process of controlling and processing each module by the central control and processing module is as follows:
the central control and processing module establishes a corresponding target data set according to data of each module of the solar energy collection module, the solar energy storage module, the intelligent identification module, the intelligent adjustment module, the light energy conversion module, the electric energy storage module, the electric energy display module, the storage battery module and the electric quantity metering module;
extracting data characteristics from the target data set, carrying out transformation, and extracting a characteristic vector representing observation data;
performing pattern recognition processing on the feature vectors by using a clustering algorithm to complete the description about the target; grouping association is carried out according to the same target;
and synthesizing the data of each sensor of each target by using a fusion algorithm to obtain the consistency explanation and description of the target.
Further, the specific process of the electric quantity metering module for calculating the average electric quantity used by each street lamp every day is as follows:
the electric quantity metering module converts the measured electric quantity parameters into direct current and direct voltage, converts the analog signals and outputs corresponding digital information.
Further, the measured current parameters collected by the electric quantity metering module include: current, voltage, power, frequency, power factor.
Further, the specific process of adjusting by the intelligent adjusting module is as follows: the illumination intensity acquisition module perceives the intensity of solar illumination, transmits to central control and processing module, and central control and processing module control drive module change solar cell panel's angle, and at the solar cell panel angular adjustment in-process, angle detection module detects solar cell panel's inclination.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the intelligent adjustable energy conversion system when executed on an electronic device.
It is another object of the present invention to provide a computer readable storage medium storing instructions that, when executed on a computer, cause the computer to execute the intelligent adjustable energy conversion system.
By combining all the technical schemes, the invention has the advantages and positive effects that: according to the invention, the intelligent identification module and the intelligent adjustment module are arranged, the solar panel is adjusted to the direction with the most sufficient illumination, so that the effect of fully collecting sunlight is achieved, the sunlight is converted into electric energy by the light energy conversion module, the utilization of the solar light is realized, the power supply time of the street lamp is further prolonged, and the problem of low solar energy utilization rate is solved. In the invention, the central control and processing module performs fusion processing on the whole data in the process of controlling and processing each module, establishes the relevance of each data and is beneficial to reasonably arranging the conversion of power consumption and electric energy.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent adjustable energy conversion system provided by an embodiment of the invention.
FIG. 2 is a flow chart of an intelligent adjustable energy conversion method provided by an embodiment of the invention.
Fig. 3 is a flowchart of an illumination intensity acquisition method of the illumination intensity acquisition module according to the embodiment of the present invention.
Fig. 4 is a flowchart of a method for conditioning an electrical signal by an electrical signal conditioning module according to an embodiment of the present invention.
Fig. 5 is a flowchart of a method for controlling and processing each module by the central control and processing module according to an embodiment of the present invention.
In the figure: 1. a solar energy collection module; 2. a solar energy storage module; 3. a light energy conversion module; 4. a central control and processing module; 5. an intelligent identification module; 6. an intelligent adjusting module; 7. an electrical energy storage module; 8. an electric energy display module; 9. a battery module; 10. and an electric quantity metering module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides an intelligent adjustable energy conversion system, and the technical scheme of the invention is described in detail in the following with reference to the accompanying drawings.
As shown in fig. 1, an intelligent adjustable energy conversion system provided by the embodiment of the present invention includes:
the solar energy collecting module is connected with the central control and processing module and is used for collecting sunlight to realize reasonable utilization of the sunlight;
the solar energy storage module is connected with the central control and processing module and is used for storing the collected temporarily unconverted solar energy;
the intelligent identification module is connected with the central control and processing module and is used for identifying the direction of the sun and absorbing more light energy;
the intelligent adjusting module is connected with the central control and processing module and is used for adjusting the solar panel to the direction with the strongest sunlight illumination;
the light energy conversion module is connected with the central control and processing module and is used for converting the collected solar energy into electric energy; after the light energy conversion module converts the solar energy into the light energy, the converted direct current can be converted into alternating current by using an inverter;
the central control and processing module is connected with the solar energy collecting module, the solar energy storage module, the intelligent identification module, the intelligent adjusting module, the light energy conversion module, the electric energy storage module, the electric energy display module, the storage battery module and the electric quantity metering module, and is used for controlling and processing the functions of each module and realizing the full utilization of solar energy;
the electric energy storage module is connected with the central control and processing module and is used for converting solar energy into electric energy for storage;
the electric energy display module is connected with the central control and processing module and is used for displaying the converted electric energy in real time;
the storage battery module is connected with the central control and processing module and is used for providing electric quantity for the street lamp by using the storage battery when the converted electric energy cannot meet the actual requirement;
and the electric quantity metering module is connected with the central control and processing module and is used for calculating the average electric quantity used by each street lamp every day.
As shown in fig. 2, the intelligent adjustable energy conversion method provided by the embodiment of the present invention includes:
s101: the solar energy collecting module collects sunlight, and the solar energy storage module stores the collected temporarily unconverted solar energy;
s102: the intelligent identification module identifies the direction of the sun and absorbs more light energy; the intelligent adjusting module adjusts the solar panel to the direction with the strongest sunlight illumination; the light energy conversion module converts the collected solar energy into electric energy;
s103: the central control and processing module controls the electric energy storage module to realize the storage of converting solar energy into electric energy; the electric energy display module realizes real-time display of the converted electric energy;
s104: when the electric energy converted by the storage battery module cannot meet the actual requirement, the storage battery module is used for providing electric quantity for the street lamp; and the electric quantity metering module is used for calculating the average electric quantity used by each street lamp every day.
S105: in the operation process of each module, the central control and processing module controls and processes the functions of the solar energy collection module, the solar energy storage module, the intelligent identification module, the intelligent adjustment module, the light energy conversion module, the electric energy storage module, the electric energy display module, the storage battery module and the electric quantity metering module, so that the solar energy is fully utilized.
In S102 provided by the embodiment of the present invention, the intelligent adjustment module is provided with an illumination intensity acquisition module, a driving module, and an angle detection module;
the illumination intensity acquisition module senses the intensity of solar illumination and transmits the intensity to the central control and processing module, the central control and processing module controls the driving module to change the angle of the solar panel, and the angle detection module detects the inclination angle of the solar panel in the angle adjustment process of the solar panel;
the illumination intensity acquisition module is internally provided with a photoelectric conversion module, an electric signal adjustment module, a temperature sensing module and a temperature compensation module.
As shown in fig. 3, the illumination intensity acquisition process of the illumination intensity acquisition module provided in the embodiment of the present invention is as follows:
s201: the photoelectric conversion module converts the visible light illumination into an electric signal by using a photosensitive diode, and the electric signal is adjusted by the electric signal adjusting module;
s202: after the electric signal adjustment is finished, the temperature sensing module senses the temperature difference through the temperature sensing module;
s203: and temperature compensation is carried out on the photoelectric signal by using the temperature compensation module.
Wherein, the specific process of temperature compensation by the temperature compensation module is as follows:
the BP consists of forward propagation of information and backward propagation of errors, and an input mode is transmitted to an output layer from an input layer through layer-by-layer processing of a hidden layer;
the output model of the BP network is:
wherein,
weights, n, for the neural network hidden layer and output layer, respectively0，n1Respectively inputting the node number and the hidden layer node number for the model;
general excitation function of neurons in the output layer f1Neuron excitation function f in the hidden layer, linear by default2The S function model at (0,1) is used as:
the transfer function adopted by the hidden layer of the BP neural network is a logarithmic S-shaped curve, and the output range of the logarithmic S-shaped curve is between (0 and 1); carrying out normalization processing on sample data:
wherein, Uin′，Pn' the nth sample neural network inputs and outputs a normalized value;
Uin，Pn，Uimax，Uimin，Pmax，Pminthe input and output calibration values and the maximum and minimum values of the ith sensor of the nth sample;
in the case of a target vector T, the error function is obtained by forward transfer of information as:
when the output layer does not obtain the expected result, the error signal is returned along the original path and the weight of each layer is modified according to a certain weight correction formula until the error is minimum and finally the expected target value is reached.
As shown in fig. 4, a specific process of the electrical signal conditioning by the electrical signal conditioning module provided in the embodiment of the present invention is as follows:
s301: denoising the electric signals by adopting wavelet transformation, and extracting the low-frequency electric signals after decomposing the wavelet transformation to obtain corresponding extreme points;
s302: setting the value of i as 1, acquiring low-frequency information of a second layer, acquiring an extreme point with an increased amplitude value by taking the extreme point acquired in the previous step as a reference basis, and removing the extreme point with a decreased amplitude value;
s303: and repeating the process to obtain the denoised and conditioned electric signal.
The driving module provided by the embodiment of the invention is provided with a bracket, and a bearing seat and a motor are arranged on the bracket;
the bearing block is provided with a rotating shaft, the rotating shaft is connected with an output shaft of the motor through a coupler, and the rotating shaft is provided with a solar cell panel.
As shown in fig. 5, a specific process of the central control and processing module provided in the embodiment of the present invention to control and process each module is as follows:
s401: the central control and processing module establishes a corresponding target data set according to data of each module of the solar energy collection module, the solar energy storage module, the intelligent identification module, the intelligent adjustment module, the light energy conversion module, the electric energy storage module, the electric energy display module, the storage battery module and the electric quantity metering module;
s402: extracting data characteristics from the target data set, carrying out transformation, and extracting a characteristic vector representing observation data;
s403: performing pattern recognition processing on the feature vectors by using a clustering algorithm to complete the description about the target; grouping association is carried out according to the same target;
s404: and synthesizing the data of each sensor of each target by using a fusion algorithm to obtain the consistency explanation and description of the target.
The specific process of the electric quantity metering module provided by the embodiment of the invention for calculating the average electric quantity used by each street lamp every day is as follows:
the electric quantity metering module converts the measured electric quantity parameters into direct current and direct voltage, converts the analog signals and outputs corresponding digital information.
Wherein, the measured current parameter that electric quantity metering module gathered includes: current, voltage, power, frequency, power factor.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. An intelligent adjustable energy conversion system, comprising:
a solar energy collection module: the central control and processing module is connected with the solar energy collecting and processing module and is used for collecting the sunlight to realize the reasonable utilization of the sunlight;
a solar storage module: the solar energy collecting and converting module is connected with the central control and processing module and is used for collecting temporarily unconverted solar energy for storage;
the intelligent identification module: the central control and processing module is connected with the solar energy collecting and processing module and is used for identifying the direction of the sun and absorbing more light energy;
the intelligent regulation module: the solar panel is connected with the central control and processing module and used for adjusting the solar panel to the direction with the strongest sunlight illumination;
the intelligent adjusting module is provided with an illumination intensity acquisition module, a driving module and an angle detection module;
the illumination intensity acquisition module is internally provided with a photoelectric conversion module, an electric signal adjustment module, a temperature sensing module and a temperature compensation module;
the photoelectric conversion module converts the visible light illumination into an electric signal by using a photosensitive diode, and the electric signal is adjusted by the electric signal adjusting module;
after the adjustment of the electric signals is finished, the temperature sensing module senses the temperature difference in the temperature sensing module, and the temperature compensation module is used for carrying out temperature compensation on the photoelectric signals;
wherein, the specific process of temperature compensation by the temperature compensation module is as follows:
the BP consists of forward propagation of information and backward propagation of errors, and an input mode is transmitted to an output layer from an input layer through layer-by-layer processing of a hidden layer;
the output model of the BP network is:
wherein,
weights, n, for the neural network hidden layer and output layer, respectively0，n1Respectively inputting the node number and the hidden layer node number for the model;
general excitation function of neurons in the output layer f1Neuron excitation function f in the hidden layer, linear by default2The S function model at (0,1) is used as:
the transfer function adopted by the hidden layer of the BP neural network is a logarithmic S-shaped curve, and the output range of the logarithmic S-shaped curve is between (0 and 1); carrying out normalization processing on sample data:
wherein, U'in，P′nInputting and outputting a normalized value by the nth sample neural network;
Uin，Pn，Uimax，Uimin，Pmax，Pminthe input and output calibration values and the maximum and minimum values of the ith sensor of the nth sample;
in the case of a target vector T, the error function is obtained by forward transfer of information as:
when the output layer does not obtain the expected result, returning the error signal along the original path and modifying the weight of each layer according to a certain weight correction formula until the error is minimum and finally the expected target value is reached;
the light energy conversion module: the solar energy collecting and processing module is connected with the central control and processing module and is used for converting the collected solar energy into electric energy;
a central control and processing module: the solar energy collecting module, the solar energy storage module, the intelligent identification module, the intelligent adjusting module, the light energy conversion module, the electric energy storage module, the electric energy display module, the storage battery module and the electric quantity metering module are connected, and are used for controlling and processing the functions of the modules and realizing the full utilization of solar energy;
an electric energy storage module: the solar energy storage device is connected with the central control and processing module and used for converting solar energy into electric energy for storage;
the electric energy display module: the central control and processing module is connected with the central control and processing module and is used for displaying the converted electric energy in real time;
a battery module: the central control and processing module is connected with the storage battery and is used for supplying electric quantity to the street lamp when the converted electric energy cannot meet the actual requirement;
electric quantity metering module: and the central control and processing module is connected with the central control and processing module and is used for calculating the average electric quantity used by each street lamp every day.
2. The intelligent adjustable energy conversion system of claim 1, wherein the electrical signal conditioning module conditions the electrical signal by a specific process comprising:
denoising the electric signals by adopting wavelet transformation, and extracting the low-frequency electric signals after decomposing the wavelet transformation to obtain corresponding extreme points;
setting the value of i as 1, acquiring low-frequency information of a second layer, acquiring an extreme point with an increased amplitude value by taking the extreme point acquired in the previous step as a reference basis, and removing the extreme point with a decreased amplitude value;
and repeating the process to obtain the denoised and conditioned electric signal.
3. The intelligent adjustable energy conversion system of claim 1, wherein the solar energy conversion module converts solar energy into light energy, and the inverter converts the converted direct current into alternating current.
4. The intelligent adjustable energy conversion system of claim 1, wherein the drive module is provided with a bracket, the bracket being provided with a bearing block and a motor;
the bearing block is provided with a rotating shaft, the rotating shaft is connected with an output shaft of the motor through a coupler, and the rotating shaft is provided with a solar cell panel.
5. The intelligent adjustable energy conversion system of claim 1, wherein the central control and processing module controls and processes each module by a specific process of:
the central control and processing module establishes a corresponding target data set according to data of each module of the solar energy collection module, the solar energy storage module, the intelligent identification module, the intelligent adjustment module, the light energy conversion module, the electric energy storage module, the electric energy display module, the storage battery module and the electric quantity metering module;
extracting data characteristics from the target data set, carrying out transformation, and extracting a characteristic vector representing observation data;
performing pattern recognition processing on the feature vectors by using a clustering algorithm to complete the description about the target; grouping association is carried out according to the same target;
and synthesizing the data of each sensor of each target by using a fusion algorithm to obtain the consistency explanation and description of the target.
6. The intelligent adjustable energy conversion system of claim 1, wherein the specific process of calculating the average amount of electricity used per street lamp per day by the electricity metering module is as follows:
the electric quantity metering module converts the measured electric quantity parameters into direct current and direct voltage, converts the analog signals and outputs corresponding digital information.
7. The intelligent adjustable energy conversion system of claim 1, wherein the measured current parameters collected by the electricity metering module include: current, voltage, power, frequency, power factor.
8. The intelligent adjustable energy conversion system of claim 1, wherein the intelligent adjustment module performs the adjustment by:
the illumination intensity acquisition module perceives the intensity of solar illumination, transmits to central control and processing module, and central control and processing module control drive module change solar cell panel's angle, and at the solar cell panel angular adjustment in-process, angle detection module detects solar cell panel's inclination.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the intelligent adjustable energy conversion system of claims 1-8 when executed on an electronic device.
10. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to perform the intelligent adjustable energy conversion system of claims 1-8.
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