CN117960641B - Photovoltaic cleaning robot brush power adjustment method and system based on artificial intelligence - Google Patents
Photovoltaic cleaning robot brush power adjustment method and system based on artificial intelligence Download PDFInfo
- Publication number
- CN117960641B CN117960641B CN202410183441.3A CN202410183441A CN117960641B CN 117960641 B CN117960641 B CN 117960641B CN 202410183441 A CN202410183441 A CN 202410183441A CN 117960641 B CN117960641 B CN 117960641B
- Authority
- CN
- China
- Prior art keywords
- cleaning
- resistance
- temperature difference
- temperature
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004140 cleaning Methods 0.000 title claims abstract description 118
- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 16
- 238000005259 measurement Methods 0.000 claims abstract description 5
- 238000004364 calculation method Methods 0.000 claims description 17
- 239000010802 sludge Substances 0.000 claims description 6
- 230000000694 effects Effects 0.000 abstract description 3
- 238000005265 energy consumption Methods 0.000 abstract description 3
- 238000010248 power generation Methods 0.000 description 6
- 230000001276 controlling effect Effects 0.000 description 4
- 230000018109 developmental process Effects 0.000 description 2
- 239000000428 dust Substances 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
Landscapes
- Photovoltaic Devices (AREA)
Abstract
The invention provides a brush power adjustment system and method of a photovoltaic cleaning robot based on artificial intelligence, and belongs to the technical field of photovoltaic cleaning and artificial intelligence. The invention avoids the problem of large measurement error caused by light through measuring the temperature and the resistance, and the method can not only effectively improve the working efficiency of the robot and reduce the energy consumption of the robot, but also ensure the cleaning effect of the surface of the battery plate.
Description
Technical Field
The invention relates to the field of photovoltaic cleaning and artificial intelligence, in particular to a photovoltaic cleaning robot brush power adjustment method and system based on artificial intelligence.
Background
With the development of the times, the development of technology advances, and clean energy power generation methods such as wind power generation, hydroelectric power generation, solar power generation and the like are called as main streams of the times, and particularly solar power generation has extremely wide popularity. However, solar power generation also has some problems, for example, the heating speed of a part of the battery assembly covered by dust and dirt is far higher than that of a part of the battery assembly not covered by dust and dirt under the irradiation of sunlight, burnt dark spots appear due to overhigh temperature, a shielded photovoltaic cell can become a resistance for generating no power, the power generated by the battery is consumed to generate heat, so that the aging of the battery panel is aggravated, the generated energy is reduced, and the assembly is burnt when serious. Therefore, the photovoltaic cleaning robot plays an important role in cleaning the dirt of the battery plate. The photovoltaic cleaning robot mainly cleans dirt and the like on the surface of the battery plate through the hairbrush, but the dirt cleaning difficulty on the surface of the battery plate is different due to factors such as the dirt type on the surface of the battery plate, the dirt position and the like. The existing photovoltaic cleaning robot dynamically adjusts the brush power by acquiring the image of the photovoltaic cell panel, but the mode has a plurality of unstable factors, such as different brightness of the surrounding environment of the camera device and different definition of the shot image, and larger error can be generated; or if the camera device is covered by the sludge, the image of the photovoltaic cell panel cannot be obtained, and the adjustment of the brush power cannot be performed. Therefore, according to the invention, the brush power of the cleaning robot is dynamically adjusted according to the temperature, the resistance and other data of each area of the battery plate, so that the brush power of the photovoltaic cleaning robot is regulated and controlled as required, the working efficiency of the cleaning robot is improved, the energy consumption of the cleaning robot is reduced, and the cleaning effect is further ensured.
Disclosure of Invention
The invention aims to provide a photovoltaic cleaning robot brush power adjustment method and system based on artificial intelligence, which are used for solving the problems that the existing brush power adjustment method and system is greatly influenced by light and sludge, has low efficiency and high power consumption, cannot be cleaned as required and the like.
In order to achieve the above object, the present invention provides the following solutions:
An artificial intelligence based brush power adjustment system for a photovoltaic cleaning robot, comprising:
The area dividing module is used for dividing the battery plate into a plurality of cleaning areas;
The temperature acquisition module is used for acquiring the temperature of the surrounding environment and the temperature of each cleaning area of the battery plate and sending each temperature value to the temperature difference calculation module;
The temperature difference calculation module is used for calculating the temperature difference between the ambient temperature and the temperature of each cleaning area of the battery plate and sending the temperature difference to the central control module;
The resistance measurement module is used for measuring the resistance value of each cleaning area in each battery plate and sending the resistance value to the central control module;
and the central control module is used for dynamically adjusting the brush power in real time according to the resistance value of each cleaning area and the temperature difference value.
Optionally, the temperature acquisition module comprises a thermal infrared imager.
Optionally, the device further comprises a resistance threshold calculation module, which is used for calculating different resistance thresholds by integrating the type, thickness, area and position of each cleaning area of the battery plate.
Optionally, the device further comprises a temperature difference value threshold calculation module, which is used for calculating different temperature difference value thresholds by integrating the type, thickness, area and position of each cleaning area of the battery plate.
Optionally, the central control module further includes:
the resistance comparison unit is used for comparing the acquired resistance value of each cleaning area with a resistance threshold value;
and the temperature comparison unit is used for comparing the temperature difference value with a temperature difference value threshold value.
Optionally, the device further comprises a temperature acquisition module cleaning unit, wherein the temperature acquisition module is used for cleaning the sludge when the temperature acquisition module is shielded by the sludge.
A photovoltaic cleaning robot brush power adjustment method based on artificial intelligence comprises the following steps:
dividing the battery plate into a plurality of cleaning areas;
collecting the temperature of each cleaning area and the temperature of the surrounding environment and calculating the temperature difference value of the cleaning area and the surrounding environment;
collecting the resistance value of each cleaning area of the battery plate;
Comparing the temperature difference value with a temperature difference value threshold value, and comparing the resistance value with a resistance threshold value;
And controlling the brush power according to the comparison result, so as to perform targeted cleaning.
Optionally, after dividing the panel into a plurality of cleaning areas, the method further includes: and calculating different resistance thresholds and temperature difference thresholds by integrating the types, the thicknesses and the areas of all cleaning areas of the battery plate.
Optionally, the controlling the brush power according to the comparison result specifically includes:
when the difference value of the resistance and the temperature exceeds a threshold value, the brush power is adjusted to be maximum and the cleaning area is cleaned firstly;
when the temperature difference exceeds the threshold value and the resistance does not exceed the threshold value, classifying the cleaning areas into a first cleaning area group;
When the resistance exceeds the threshold value and the temperature difference does not exceed the threshold value, classifying the cleaning areas into a second cleaning area group;
When neither the resistance nor the temperature difference exceeds the threshold, the cleaning areas are classified into a third cleaning area group.
Optionally, when cleaning is performed, cleaning is performed sequentially in the order of the first cleaning region group, the second cleaning region group, and the third cleaning region group.
Compared with the prior art, the invention has the following beneficial effects:
According to the photovoltaic cleaning robot brush power adjustment system and method based on artificial intelligence, the battery plate is divided into the plurality of cleaning areas through the area dividing module, the temperature collecting module collects the temperature of each cleaning area and the temperature of the surrounding environment, the difference value of the temperature and the temperature of the surrounding environment is calculated, the resistance measuring module measures the resistance value of each cleaning area, and then the temperature difference value and the resistance value are compared with the temperature difference value threshold value and the resistance threshold value respectively, so that the brush power can be dynamically adjusted in real time. The invention avoids the problem of large measurement error caused by light through measuring the temperature and the resistance, and the method can not only effectively improve the working efficiency of the robot and reduce the energy consumption of the robot, but also ensure the cleaning effect of the surface of the battery plate.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a brush power adjustment system of a photovoltaic cleaning robot based on artificial intelligence according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
An artificial intelligence based brush power adjustment system for a photovoltaic cleaning robot, comprising:
The area dividing module is used for dividing the battery plate into a plurality of cleaning areas;
The temperature acquisition module is used for acquiring the temperature of the surrounding environment and the temperature of each cleaning area of the battery plate and sending each temperature value to the temperature difference calculation module;
The temperature difference calculation module is used for calculating the temperature difference between the ambient temperature and the temperature of each cleaning area of the battery plate and sending the temperature difference to the central control module;
The resistance measurement module is used for measuring the resistance value of each cleaning area in each battery plate and sending the resistance value to the central control module;
and the central control module is used for dynamically adjusting the brush power in real time according to the resistance value of each cleaning area and the temperature difference value.
Further, the temperature acquisition module comprises a thermal infrared imager.
Further, the device also comprises a resistance threshold calculation module which is used for calculating different resistance thresholds by integrating the type, thickness, area and position of each cleaning area of the battery plate.
Further, the device also comprises a temperature difference value threshold calculation module which is used for calculating different temperature difference value thresholds by integrating the type, thickness, area and position of each cleaning area of the battery plate.
Further, the central control module further includes:
the resistance comparison unit is used for comparing the acquired resistance value of each cleaning area with a resistance threshold value;
and the temperature comparison unit is used for comparing the temperature difference value with a temperature difference value threshold value.
Further, the device also comprises a temperature acquisition module cleaning unit which is used for cleaning the temperature acquisition module when the temperature acquisition module is shielded by the sludge.
A photovoltaic cleaning robot brush power adjustment method based on artificial intelligence comprises the following steps:
dividing the battery plate into a plurality of cleaning areas;
collecting the temperature of each cleaning area and the temperature of the surrounding environment and calculating the temperature difference value of the cleaning area and the surrounding environment;
collecting the resistance value of each cleaning area of the battery plate;
Comparing the temperature difference value with a temperature difference value threshold value, and comparing the resistance value with a resistance threshold value;
And controlling the brush power according to the comparison result, so as to perform targeted cleaning.
Further, after dividing the panel into a plurality of cleaning areas, the method further comprises: and calculating different resistance thresholds and temperature difference thresholds by integrating the types, the thicknesses and the areas of all cleaning areas of the battery plate.
Further, the controlling the brush power according to the comparison result specifically includes:
when the difference value of the resistance and the temperature exceeds a threshold value, the brush power is adjusted to be maximum and the cleaning area is cleaned firstly;
when the temperature difference exceeds the threshold value and the resistance does not exceed the threshold value, classifying the cleaning areas into a first cleaning area group;
When the resistance exceeds the threshold value and the temperature difference does not exceed the threshold value, classifying the cleaning areas into a second cleaning area group;
When neither the resistance nor the temperature difference exceeds the threshold, the cleaning areas are classified into a third cleaning area group.
Further, at the time of cleaning, cleaning is performed in order of the first cleaning region group, the second cleaning region group, and the third cleaning region group.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (3)
1. Photovoltaic cleaning robot brush power adjustment system based on artificial intelligence, characterized in that includes:
The area dividing module is used for dividing the battery plate into a plurality of cleaning areas;
The temperature acquisition module is used for acquiring the temperature of the surrounding environment and the temperature of each cleaning area of the battery plate and sending each temperature value to the temperature difference calculation module;
The temperature difference calculation module is used for calculating the temperature difference between the ambient temperature and the temperature of each cleaning area of the battery plate and sending the temperature difference to the central control module;
The resistance measurement module is used for measuring the resistance value of each cleaning area in each battery plate and sending the resistance value to the central control module;
the central control module is used for dynamically adjusting the brush power in real time according to the resistance value of each cleaning area and the temperature difference value;
The system also comprises a resistance threshold calculation module, a resistance threshold calculation module and a control module, wherein the resistance threshold calculation module is used for calculating different resistance thresholds according to the types, the thicknesses, the areas and the positions of all cleaning areas of the battery plate;
the system also comprises a temperature difference value threshold calculation module, a temperature difference value calculation module and a temperature difference value calculation module, wherein the temperature difference value threshold calculation module is used for calculating different temperature difference value thresholds according to the type, thickness, area and position of each cleaning area of the battery plate;
The central control module further comprises:
the resistance comparison unit is used for comparing the acquired resistance value of each cleaning area with a resistance threshold value;
A temperature comparing unit for comparing the temperature difference value with a temperature difference value threshold;
the adjustment system comprises an adjustment method, comprising:
dividing the battery plate into a plurality of cleaning areas;
collecting the temperature of each cleaning area and the temperature of the surrounding environment and calculating the temperature difference value of the cleaning area and the surrounding environment;
collecting the resistance value of each cleaning area of the battery plate;
Comparing the temperature difference value with a temperature difference value threshold value, and comparing the resistance value with a resistance threshold value;
Controlling the brush power according to the comparison result, thereby performing targeted cleaning;
After dividing the panel into a plurality of cleaning areas, the method further comprises: calculating different resistance thresholds and temperature difference thresholds according to the types, thicknesses and areas of all cleaning areas of the battery plate and the positions of the cleaning areas;
The control of the brush power according to the comparison result is specifically:
when the difference value of the resistance and the temperature exceeds a threshold value, the brush power is adjusted to be maximum and the cleaning area is cleaned firstly;
when the temperature difference exceeds the threshold value and the resistance does not exceed the threshold value, classifying the cleaning areas into a first cleaning area group;
When the resistance exceeds the threshold value and the temperature difference does not exceed the threshold value, classifying the cleaning areas into a second cleaning area group;
When the resistance and the temperature difference value do not exceed the threshold value, classifying the cleaning areas into a third cleaning area group;
When cleaning is performed, cleaning is performed in order of the first cleaning region group, the second cleaning region group, and the third cleaning region group.
2. The artificial intelligence based brush power adjustment system of a photovoltaic cleaning robot of claim 1, wherein the temperature acquisition module comprises a thermal infrared imager.
3. The artificial intelligence based photovoltaic cleaning robot brush power adjustment system of claim 1, further comprising means for cleaning the temperature acquisition module when it is obscured by sludge.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410183441.3A CN117960641B (en) | 2024-02-19 | 2024-02-19 | Photovoltaic cleaning robot brush power adjustment method and system based on artificial intelligence |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410183441.3A CN117960641B (en) | 2024-02-19 | 2024-02-19 | Photovoltaic cleaning robot brush power adjustment method and system based on artificial intelligence |
Publications (2)
Publication Number | Publication Date |
---|---|
CN117960641A CN117960641A (en) | 2024-05-03 |
CN117960641B true CN117960641B (en) | 2024-06-25 |
Family
ID=90847783
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202410183441.3A Active CN117960641B (en) | 2024-02-19 | 2024-02-19 | Photovoltaic cleaning robot brush power adjustment method and system based on artificial intelligence |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117960641B (en) |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108580490A (en) * | 2018-02-09 | 2018-09-28 | 中国计量大学 | Solar cell panel dust detects and cleaning systems |
CN109571472A (en) * | 2018-12-03 | 2019-04-05 | 张和平 | Self-adapting solar energy photovoltaic power generation equipment Intelligent cleaning robot and control system |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR100979848B1 (en) * | 2007-12-05 | 2010-09-03 | 오민환 | Washing apparatus of solar cell and control method for the same |
KR101853843B1 (en) * | 2016-11-22 | 2018-05-02 | (주)에이비엠 | Spray system for improving the operating efficiency of the roof type BIPV solar module part that can control the injection nozzle individually |
-
2024
- 2024-02-19 CN CN202410183441.3A patent/CN117960641B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108580490A (en) * | 2018-02-09 | 2018-09-28 | 中国计量大学 | Solar cell panel dust detects and cleaning systems |
CN109571472A (en) * | 2018-12-03 | 2019-04-05 | 张和平 | Self-adapting solar energy photovoltaic power generation equipment Intelligent cleaning robot and control system |
Also Published As
Publication number | Publication date |
---|---|
CN117960641A (en) | 2024-05-03 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112871938B (en) | Photovoltaic power plant cleans control integration management system | |
CN112653393B (en) | Control method and device for photovoltaic system IV diagnosis | |
CN108572011B (en) | Photovoltaic cell panel dust deposition state monitoring system based on machine vision and calculation method | |
CN105242740B (en) | Maximum power point tracking control method under partial shadow | |
CN111262242B (en) | Cold-hot electricity virtual power plant operation method based on multi-scene technology | |
CN103677063B (en) | Based on knee point equal power method photovoltaic cell component maximum power tracking method and device | |
CN110210060A (en) | The prediction technique of solar energy photovoltaic panel superficial dust degree | |
Chen et al. | A novel fault diagnosis method of PV based-on power loss and IV characteristics | |
CN108008633A (en) | Irradiation level comprising a variety of Changes in weather and photovoltaic module coordinate incidence relation method for building up | |
CN117960641B (en) | Photovoltaic cleaning robot brush power adjustment method and system based on artificial intelligence | |
CN111555714A (en) | Method for measuring power peak number of characteristic mismatch photovoltaic string | |
JP3245325U (en) | Solar power plant cluster monitoring system | |
CN107478335B (en) | A kind of method of microdefect solar module hot spot temperature computation | |
CN112148059B (en) | MPPT maximum power tracking method for photovoltaic power station | |
CN111222763A (en) | Photovoltaic module washs decision-making instrument | |
CN116433217A (en) | Distributed photovoltaic power generation management method and system | |
CN116317935A (en) | Distributed photovoltaic grid-connected detection method | |
CN109725674A (en) | A kind of optimization algorithm of the photovoltaic system maximal power tracing based on SA+PSO hybrid algorithm | |
CN109034441A (en) | A kind of prediction technique of photovoltaic module cleaning frequency, system and storage equipment | |
Kelly | The coupling factor: A new metric for determining and controlling the efficiency of solar photovoltaic power utilization | |
CN208174633U (en) | The photovoltaic module cleaning robot for having hot spot test feedback function | |
CN112651551A (en) | Photovoltaic power station tracking prediction method and system | |
Baig et al. | Recognition of faulty modules in a photovoltaic array using image processing techniques | |
CN112337876B (en) | Power supply system | |
LU504113B1 (en) | An automatic cleaning method for photovoltaic module |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |