CN218675813U - Automatic sun tracking photovoltaic system based on AI computer vision - Google Patents
Automatic sun tracking photovoltaic system based on AI computer vision Download PDFInfo
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- CN218675813U CN218675813U CN202223603235.9U CN202223603235U CN218675813U CN 218675813 U CN218675813 U CN 218675813U CN 202223603235 U CN202223603235 U CN 202223603235U CN 218675813 U CN218675813 U CN 218675813U
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- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims description 3
- 229910052744 lithium Inorganic materials 0.000 claims description 3
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- 238000004891 communication Methods 0.000 description 1
- 238000010280 constant potential charging Methods 0.000 description 1
- 238000010277 constant-current charging Methods 0.000 description 1
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- 238000013135 deep learning Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
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Abstract
The utility model provides a sun automatic tracking photovoltaic system based on AI computer vision, include: a power source; the rotating mechanism is connected with the power supply, a solar panel is arranged on the rotating mechanism, the power supply can supply power to the rotating mechanism, and the rotating mechanism can drive the solar panel to rotate; the camera is connected with the solar panel and can rotate along with the solar panel; the controller, the information that the camera was gathered can be transmitted extremely in the controller, the controller can be according to the information control that receives slewing mechanism, the utility model discloses a sun automatic tracking photovoltaic system based on AI computer vision, the utility model discloses but solar position of automatic tracking realizes that solar panel catches the best emphasis of illumination, avoids ordinary solar panel fixed angle can not reach the effect of the illumination electricity generation of catching of ideal.
Description
Technical Field
The utility model relates to a photovoltaic equipment field, in particular to sun automatic tracking photovoltaic system based on AI computer vision.
Background
With the continuous improvement of photovoltaic power generation technology, solar photovoltaic power generation devices are increasingly applied to the production and life of people. Compared with the conventional energy, the solar energy is utilized for generating electricity, so that the environment is not polluted, raw material transportation is not needed, the local development can be realized, the electricity utilization requirement of remote areas can be met, and the urban electricity shortage can be relieved. However, the energy density of solar energy is low, and solar energy can be utilized with low maximum efficiency only when sunlight vertically irradiates on a solar photovoltaic cell panel. The existing solar photovoltaic power generation device is mostly fixed and generally comprises a base, a support, a photovoltaic cell platform and a solar photovoltaic module. Because the base, the support and the photovoltaic cell platform are fixedly connected, the solar photovoltaic cell module cannot rotate in the elevation angle direction and the horizontal direction and cannot track the sun in real time, so that the solar energy utilization rate is low, or the scene of tracking the sun in a self-adaptive manner is poor, and the influence of the longitude and the latitude of installation and the time is large.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a sun automatic tracking photovoltaic system based on AI computer vision makes solar panel can trail the sun in real time.
In order to achieve the above object, the present invention provides the following technical solutions: an AI computer vision based solar automatic tracking photovoltaic system comprising: a power source; the rotating mechanism is connected with the power supply, a solar panel is arranged on the rotating mechanism, the power supply can supply power to the rotating mechanism, and the rotating mechanism can drive the solar panel to rotate; the camera is connected with the solar panel and can rotate along with the solar panel; the controller, the information that the camera was gathered can be transmitted to in the controller, the controller can be according to the information control that receives slewing mechanism.
Further, the rotating mechanism comprises a speed reducing motor, a shell, a rotating shaft and a rotating arm; the shell is symmetrically provided with rotating shafts, the rotating shafts are connected with the shell through bearings, two ends of each rotating arm are respectively connected with the two rotating shafts, the output end of the speed reducing motor is connected with one rotating shaft, and the rotating arms can be driven to rotate when the output end of the speed reducing motor rotates; the controller is arranged on the rotating shaft and connected with the speed reducing motor, the controller can control the speed reducing motor, and an acceleration sensor is integrated in the controller.
Further, still include charging circuit, solar panel passes through charging circuit for the power charges.
Furthermore, the charging circuit comprises a charging management chip, a voltage division resistor, a MOSFET tube and an inductor; the solar panel is connected with the input end of the charging management chip and is also connected with the maximum power point tracking end of the charging management chip through the divider resistor; the output end of the charging management chip, the MOSFET tube, the inductor and the power supply are sequentially connected; and a node between the inductor and the power supply is connected with a battery voltage feedback input end of the charging management chip.
Further, the power supply is a lithium battery.
Further, the camera is a wide-angle camera.
Further, the model of the charging management chip is CN3795.
The analysis can know, the utility model discloses a sun automatic tracking photovoltaic system based on AI computer vision, the utility model discloses but solar position of automatic tracking realizes that solar panel catches the best emphasis of illumination, avoids ordinary solar panel fixed angle not to reach the effect of the illumination electricity generation of catching of ideal.
Drawings
The accompanying drawings, which form a part of the present application, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. Wherein:
fig. 1 is a block diagram of an embodiment of the present invention.
Fig. 2 is a block diagram of a charging circuit according to an embodiment of the present invention.
Fig. 3 is a flow chart illustrating an embodiment of the present invention.
Fig. 4 is a schematic structural view of a rotating mechanism according to an embodiment of the present invention.
Description of reference numerals: 1. a solar panel; 2. a housing; 3. a bearing; 4. a rotating shaft; 5. a rotating arm; 6. a reduction motor; 7. and a controller.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. Each example is provided by way of explanation of the invention and not limitation of the invention. In fact, it will be apparent to those skilled in the art that modifications and variations can be made in the present invention without departing from the scope or spirit of the invention. For instance, features illustrated or described as part of one embodiment, can be used with another embodiment to yield a still further embodiment. It is therefore intended that the present invention encompass such modifications and variations as fall within the scope of the appended claims and equivalents thereof.
In the description of the present invention, the terms "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description of the present invention and do not require that the present invention must be constructed and operated in a particular orientation, and therefore, should not be construed as limiting the present invention. The terms "connected", "connected" and "disposed" used in the present invention should be understood in a broad sense, and may be, for example, either fixedly connected or detachably connected; can be directly connected or indirectly connected through intermediate components; the connection may be a wired electrical connection, a wireless electrical connection, or a wireless communication signal connection, and a person skilled in the art can understand the specific meaning of the above terms according to specific situations.
One or more examples of the invention are illustrated in the accompanying drawings. The detailed description uses numerical and letter designations to refer to features in the drawings. Like or similar designations in the drawings and description have been used to refer to like or similar parts of the invention. As used herein, the terms "first," "second," "third," and "fourth," etc. may be used interchangeably to distinguish one component from another and are not intended to indicate the position or importance of an individual component.
As shown in fig. 1-4, according to the embodiment of the present invention, there is provided an automatic sun tracking photovoltaic system based on AI computer vision, including: a power source; the rotating mechanism is connected with a power supply, the solar panel 1 is arranged on the rotating mechanism, the power supply can supply power to the rotating mechanism, the rotating mechanism can drive the solar panel 1 to rotate, and the power supply can also supply power to external electric equipment; the camera is connected with the solar panel 1 and can rotate along with the solar panel 1; controller 7, the information that the camera was gathered can be transmitted to controller 7 in, controller 7 can be according to the information control slewing mechanism who receives, the utility model discloses controller 7 generally chooses low-power consumption cpu for use, and the treater of jun positive T series can be chooseed for use to specific model, and the treater of this model combines the image sensor realization of 2M pixel to the target detection of camera shooting image, the utility model discloses 7 control slewing mechanism's of controller rotation can drive slewing mechanism behind the data that 7 analysis cameras of controller shot and rotate solar panel 1 to the one side towards the sun to improve photovoltaic power generation efficiency.
Preferably, the rotating mechanism comprises a speed reducing motor 6, a shell 2, a controller 7, a rotating shaft 4 and a rotating arm 5; the shell 2 is symmetrically provided with rotating shafts 4, the rotating shafts 4 are connected with the shell 2 through bearings 3, two ends of a rotating arm 5 are respectively connected with the two rotating shafts 4, the output end of a speed reducing motor 6 is connected with one rotating shaft 4, the rotating arm 5 can be driven to rotate when the output end of the speed reducing motor 6 rotates, and the output end of the speed reducing motor 6 directly and coaxially rotates the solar panel 1, so that the solar panel 1 can stably and reliably rotate; the controller 7 is arranged on one rotating shaft 4, the controller 7 is connected with the speed reducing motor 6, the controller 7 can control the running state of the speed reducing motor 6, so that the angle of the solar panel 1 is controlled, the acceleration sensor is integrated in the controller 7, and the angle of the solar panel is rotated by the acceleration sensor in a sensing mode.
Preferably, the solar panel device further comprises a charging circuit, and the solar panel 1 charges the power supply through the charging circuit.
Preferably, the charging circuit comprises a charging management chip, a voltage-dividing resistor, a MOSFET tube and an inductor; the solar panel is connected with the input end of the charging management chip and is also connected with the maximum power point tracking end of the charging management chip through a divider resistor; the output end of the charging management chip, the MOSFET tube, the inductor and the power supply are sequentially connected; and a node between the inductor and the power supply is connected with a battery voltage feedback input end of the charging management chip.
Preferably, the power supply is a lithium battery which is stable in operation and good in discharging effect.
Preferably, the camera is a wide-angle camera, the shooting area of the wide-angle camera is larger, and the shooting range of single shooting is improved.
Preferably, the type of the charging management chip is CN3795, CN3795 has a solar photovoltaic MPPT (maximum power point tracking function), and can automatically adjust a maximum power point according to the current photovoltaic power to perform charging, and simultaneously enter a trickle, constant current, and constant voltage charging mode according to the state of the battery.
The utility model discloses a concrete using-way as follows:
the wide-angle camera for image acquisition is fixed with the solar panel 1 and can shoot pictures corresponding to the rotation angle position of the solar panel; the main control CPU (controller 7) is wakened up at intervals, and the rest is in a dormant state, so that the power consumption is reduced; after the wide-angle camera collects video images, a yolov3 deep learning network can be used for detecting a solar target; according to the coordinate position of sun target in the picture, solar panel 1 is rotated in the drive, reaches the tracking sun target, and fig. 3 is the utility model discloses flow chart during the use, wherein the camera lens of wide angle camera is the wide angle camera lens.
Compared with the prior art, the utility model discloses but the position of autotracking sun realizes that solar panel 1 catches irradiant best emphasis, avoids 1 fixed angle of ordinary solar panel to reach the effect of the illumination electricity generation of catching of ideal. During engineering construction, only the fixed mounting is needed to be carried out on the object-object rotating direction of the solar panel 1, the parameter setting is not needed to be calibrated, the tracking system can automatically carry out sun detection through images and then rotate the solar panel for tracking, and the influence of external network signals and positioning signals is avoided.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. An AI computer vision based solar autotracking photovoltaic system, comprising:
a power source;
the rotating mechanism is connected with the power supply, a solar panel is arranged on the rotating mechanism, the power supply can supply power to the rotating mechanism, and the rotating mechanism can drive the solar panel to rotate;
the camera is connected with the solar panel and can rotate along with the solar panel;
the controller, the information that the camera was gathered can be transmitted to in the controller, the controller can be according to the information control that receives slewing mechanism.
2. The AI computer vision based solar automatic tracking photovoltaic system of claim 1, wherein the rotation mechanism comprises a gear motor, a housing, a rotation shaft and a rotation arm;
the shell is symmetrically provided with rotating shafts, the rotating shafts are connected with the shell through bearings, two ends of each rotating arm are respectively connected with the two rotating shafts, the output end of the speed reducing motor is connected with one rotating shaft, and the rotating arms can be driven to rotate when the output end of the speed reducing motor rotates;
the controller is arranged on the rotating shaft and connected with the speed reducing motor, the controller can control the speed reducing motor, and an acceleration sensor is integrated in the controller.
3. The AI computer vision-based solar automatic tracking photovoltaic system of claim 1, further comprising a charging circuit, wherein the solar panel charges the power source through the charging circuit.
4. The AI computer vision based solar automatic tracking photovoltaic system of claim 3, wherein the charging circuit comprises a charge management chip, a voltage divider resistor, a MOSFET tube and an inductor;
the solar panel is connected with the input end of the charging management chip and is also connected with the maximum power point tracking end of the charging management chip through the divider resistor;
the output end of the charging management chip, the MOSFET tube, the inductor and the power supply are sequentially connected;
and a node between the inductor and the power supply is connected with a battery voltage feedback input end of the charging management chip.
5. The AI computer vision based solar automatic tracking photovoltaic system of claim 1, wherein the power source is a lithium battery.
6. An AI computer vision based solar automatic tracking photovoltaic system according to claim 1, characterized in that the camera is a wide angle camera.
7. The AI computer vision based solar autotracking photovoltaic system according to claim 4, wherein the model of the charge management chip is CN3795.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202223603235.9U CN218675813U (en) | 2022-12-30 | 2022-12-30 | Automatic sun tracking photovoltaic system based on AI computer vision |
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| CN202223603235.9U CN218675813U (en) | 2022-12-30 | 2022-12-30 | Automatic sun tracking photovoltaic system based on AI computer vision |
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| CN218675813U true CN218675813U (en) | 2023-03-21 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117833792A (en) * | 2023-12-22 | 2024-04-05 | 深圳市紫光照明技术股份有限公司 | Sun tracking system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117833792A (en) * | 2023-12-22 | 2024-04-05 | 深圳市紫光照明技术股份有限公司 | Sun tracking system |
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