CN111211735A - Detection method and device - Google Patents
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- CN111211735A CN111211735A CN202010053120.3A CN202010053120A CN111211735A CN 111211735 A CN111211735 A CN 111211735A CN 202010053120 A CN202010053120 A CN 202010053120A CN 111211735 A CN111211735 A CN 111211735A
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- 238000000034 method Methods 0.000 claims abstract description 22
- 238000010191 image analysis Methods 0.000 claims abstract description 11
- 238000010276 construction Methods 0.000 claims description 20
- 238000012938 design process Methods 0.000 claims description 16
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
- H02S50/10—Testing of PV devices, e.g. of PV modules or single PV cells
- H02S50/15—Testing of PV devices, e.g. of PV modules or single PV cells using optical means, e.g. using electroluminescence
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
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Abstract
The invention discloses a detection method and a detection device. The positioning method comprises the following steps: collecting design information of the photovoltaic power station; acquiring the built-up information of the photovoltaic power station by carrying out image analysis on the video image of the photovoltaic power station; comparing and analyzing the built information of the photovoltaic power station and the design information to obtain an analysis result, wherein the analysis result indicates whether the components in the photovoltaic power station meet the installation requirements or not; and generating an acceptance report according to the analysis result. According to the technical scheme, the unmanned aerial vehicle is used for shooting video image data of the photovoltaic power station, the building condition of the photovoltaic power station is automatically analyzed by combining with basic information of the photovoltaic power station, and an electronic report which is convenient to interact is generated, so that the building condition of the photovoltaic power station can be accurately evaluated, and the defect that manual acceptance of the power station in the prior art can only be performed by spot check and is not complete and intuitive is overcome.
Description
Technical Field
The invention relates to a detection method and a detection device.
Background
Under the prior art, the acceptance of photovoltaic power station is a complicated and difficult work. The existing scheme usually needs to consume a large amount of manpower, material resources and time, and the final detection result is not intuitive enough. For example, current photovoltaic power plant construction acceptance relies on manpower to survey on-site for rack installation conditions, component installation conditions, line deployment conditions, road construction conditions in large quantities, takes a long time and is prone to statistical errors.
Disclosure of Invention
The invention aims to provide a detection method and a detection device.
In a first aspect, the present invention provides a detection method, including:
collecting design information of the photovoltaic power station;
acquiring the built-up information of the photovoltaic power station by carrying out image analysis on the video image of the photovoltaic power station;
comparing and analyzing the built information of the photovoltaic power station and the design information to obtain an analysis result, wherein the analysis result indicates whether the components in the photovoltaic power station meet the installation requirements or not;
and generating an acceptance report according to the analysis result.
In a second aspect, the present invention provides a detection apparatus comprising:
the digital construction unit is used for collecting the design information of the photovoltaic power station;
the power station data acquisition unit is used for carrying out image analysis on the video image of the photovoltaic power station to obtain the built-up information of the photovoltaic power station;
the analysis detection unit is used for comparing and analyzing the built information of the photovoltaic power station with the design information to obtain an analysis result, and the analysis result indicates whether the components in the photovoltaic power station meet the installation requirements or not;
and the report generating unit is used for generating an acceptance report according to the analysis result.
The invention at least achieves the following technical effects: the method has the advantages that the video image data of the photovoltaic power station are shot by the unmanned aerial vehicle, the building condition of the photovoltaic power station is automatically analyzed by combining with the basic information of the photovoltaic power station, and an electronic report which is convenient to interact is generated, so that the building condition of the photovoltaic power station can be accurately evaluated, and the defects that manual acceptance of the power station in the prior art can only be checked, and the photovoltaic power station is not full and visual are overcome.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments will be briefly described below. It is appreciated that the following drawings depict only certain embodiments of the invention and are therefore not to be considered limiting of its scope. For a person skilled in the art, it is possible to derive other relevant figures from these figures without inventive effort.
Fig. 1 is a block diagram of a hardware configuration of a detection system according to an embodiment of the present invention;
FIG. 2 is a flow chart of a detection method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a photovoltaic power plant inspection project according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating the detection of component numbers and locations according to an embodiment of the present invention;
FIG. 5 is a schematic diagram illustrating angle detection of a component according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an acceptance report according to an embodiment of the present invention;
FIG. 7 is a block diagram of a detecting device according to an embodiment of the present invention;
fig. 8 is a block diagram of a detection system according to an embodiment of the present invention.
Detailed Description
Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
< example one >
Fig. 1 is a block diagram of a hardware configuration of a detection system 100 according to an embodiment of the present invention.
As shown in fig. 1, the detection system 100 includes a data acquisition device 1000 and a detection device 2000.
The data acquisition device 1000 is configured to acquire a video image of the photovoltaic power station and provide the acquired video image to the detection device 2000.
The data acquisition device 1000 may be a camera device, such as a camera, a webcam, or the like.
The detection device 2000 may be any electronic device, such as a PC, a notebook, a server, etc.
In this embodiment, referring to fig. 1, the detection device 2000 may include a processor 2100, a memory 2200, an interface device 2300, a communication device 2400, a display device 2500, an input device 2600, a speaker 2700, a microphone 2800, and the like.
The processor 2100 may be a mobile version processor. The memory 2200 includes, for example, a ROM (read only memory), a RAM (random access memory), a nonvolatile memory such as a hard disk, and the like. The interface device 2300 includes, for example, a USB interface, a headphone interface, and the like. The communication device 2400 can perform wired or wireless communication, for example, the communication device 2400 may include a short-range communication device, such as any device that performs short-range wireless communication based on a short-range wireless communication protocol, such as a Hilink protocol, WiFi (IEEE 802.11 protocol), Mesh, bluetooth, ZigBee, Thread, Z-Wave, NFC, UWB, LiFi, and the like, and the communication device 2400 may also include a remote communication device, such as any device that performs WLAN, GPRS, 2G/3G/4G/5G remote communication. The display device 2500 is, for example, a liquid crystal display panel, a touch panel, or the like. The input device 2600 may include, for example, a touch screen, a keyboard, and the like. A user can input/output voice information through the speaker 2700 and the microphone 2800.
In this embodiment, the memory 2200 of the detection apparatus 2000 is configured to store instructions for controlling the processor 2100 to operate at least to perform the detection method according to any embodiment of the present invention. The skilled person can design the instructions according to the disclosed solution. How the instructions control the operation of the processor is well known in the art and will not be described in detail herein.
Although a plurality of devices of the detection device 2000 are shown in fig. 1, the present invention may only relate to some of the devices, for example, the detection device 2000 only relates to the memory 2200 and the processor 2100.
In this embodiment, the data acquisition device 1000 is configured to acquire a video image and provide the acquired video image to the detection device 2000, and the detection device 2000 implements the detection method according to any embodiment of the present invention based on the video image.
It should be understood that although fig. 1 shows only one data acquisition device 1000 and one detection device 2000, the respective numbers are not meant to be limiting, and multiple data acquisition devices 1000 and/or detection devices 2000 may be included in the detection system 100.
< example two >
Aiming at the problem that in the prior art, the construction condition exploration is carried out only by manpower, and the small area is usually only checked due to time and cost, the arrangement condition cannot be reflected, and the situation is not representative. According to the embodiment of the invention, the unmanned aerial vehicle is used for shooting video image data of the photovoltaic power station, the building condition of the photovoltaic power station is automatically analyzed by combining with basic information of the photovoltaic power station, and an electronic report which is convenient to interact is generated, so that the building condition of the photovoltaic power station can be accurately evaluated, and the defect that manual acceptance of the power station in the prior art can only be performed by spot check and is not complete and intuitive is overcome.
Fig. 2 is a flowchart of a detection method according to an embodiment of the present invention, and as shown in fig. 2, the method according to the embodiment includes:
s2100, collecting design information of the photovoltaic power station.
The construction drawing of the photovoltaic power station can be subjected to image recognition, and the recognition result of the component information in the photovoltaic power station in the design process is obtained, for example, the component information such as the number of components, the positions of the components, the design inclination angle of the components, the design height of the components, the design interval of the components and the like in the design process is obtained. Basic state information of the photovoltaic power station can be acquired, and the basic state information comprises one or more of daily power generation statistics, average irradiance and theoretical power generation.
S2200, performing image analysis on the video image of the photovoltaic power station to obtain the construction information of the photovoltaic power station.
The embodiment can utilize unmanned aerial vehicle to shoot photovoltaic power plant, gathers photovoltaic power plant's video image information, for example can shoot through unmanned aerial vehicle's high altitude, gathers photovoltaic power plant's panoramic image, obtains the subassembly quantity that includes in the photovoltaic power plant built from the panoramic image. Also can shoot through unmanned aerial vehicle's low latitude, gather photovoltaic power plant's video image, gather photovoltaic power plant's detail information.
S2300, comparing and analyzing the built information and the design information of the photovoltaic power station to obtain an analysis result, wherein the analysis result indicates whether the assembly in the photovoltaic power station meets the installation requirement.
And S2400, generating an acceptance report according to the analysis result.
The embodiment utilizes the unmanned aerial vehicle to shoot photovoltaic power plant video image data, combines the basic information of photovoltaic power plant, carries out automated analysis to the condition of establishing of photovoltaic power plant, generates mutual convenient electronic report to can accomplish the construction condition of accurate aassessment photovoltaic power plant, in order to remedy artifical acceptance power plant among the prior art and can only check by spot check, not all intuitive drawback.
As shown in fig. 3, the present embodiment can detect the number and position of components, the installation angle and distance of components, the installation height of components, and the operating state of components. The detection of the installation angle and the spacing of the components in the four detection items is performed before the detection of the height of the components.
It should be noted that fig. 3 only illustrates a detection sequence, for example, the detection of the working state of the components, the detection of the number and the positions of the components, the detection of the installation angle and the distance between the components, and the detection of the installation height of the components may also be performed first; or, firstly detecting the number and the positions of the components, then detecting the working state of the components, then detecting the installation angle and the distance between the components, and finally detecting the installation height of the components.
1. The detection process for the number and position of the components is as follows:
s11, carrying out image recognition on the construction drawing of the photovoltaic power station to obtain the recognition result of the component information in the photovoltaic power station in the design process, wherein the recognition result comprises the number of the components in the photovoltaic power station and the position information of each component in the design process.
S12, acquiring a panoramic image of the photovoltaic power station by using high-altitude shooting of an unmanned aerial vehicle, and acquiring the number of actual components and position information of each component included in the built photovoltaic power station according to the panoramic image.
S13, comparing the actual number of components and the position information of each component included in the built photovoltaic power station with the number of components and the position information of each component in the identification result respectively, and obtaining the detection results of the number and the positions of the components of the photovoltaic power station.
As shown in fig. 4, collecting a panoramic image of a photovoltaic power station by using an unmanned aerial vehicle, extracting a component position from the panoramic image, and generating a geographic coordinate under a world coordinate system based on the component position; and collecting a construction drawing of the photovoltaic power station, extracting the position of the component from the construction drawing, and generating geographic coordinates under a world coordinate system based on the position of the component, so that the quantity and missing components of the component can be counted, and the counting result is visually displayed in an acceptance report.
2. The detection process of the component installation angle and the component interval is as follows:
s21, carrying out image recognition on the construction drawing of the photovoltaic power station, and obtaining the recognition result of the component information in the photovoltaic power station in the design process, wherein the recognition result comprises the installation angle and the component distance of each component in the photovoltaic power station in the design process.
S22, acquiring a video image of the photovoltaic power station by means of low-altitude shooting of the unmanned aerial vehicle, and obtaining the actual installation angle and the actual assembly distance of each assembly in the built photovoltaic power station according to the video image.
Obtaining IMU (Inertial Measurement Unit) information shot by an unmanned aerial vehicle at low altitude and internal parameter information of an unmanned aerial vehicle video acquisition device; and calculating the actual installation angle of each component in the built photovoltaic power station according to the IMU information, the internal parameter information and the deformation information of the components in the video image.
Wherein, unmanned aerial vehicle video acquisition device can be the camera, and the camera can acquire the internal parameter of camera through shooing black and white check.
As shown in fig. 5, the actual installation angle and the actual component spacing may be calculated using adjacent image frames in the video data; and comparing the actual installation angle and the actual assembly distance of each assembly obtained by calculation with the installation angle and the assembly distance of the corresponding assembly in the recognition result, thereby counting whether the assembly installation meets the requirements.
And S23, comparing the actual installation angle and the actual assembly distance of each assembly with the installation angle and the assembly distance of the assembly in the identification result respectively, and obtaining the detection result of the installation angle and the assembly distance of the photovoltaic power station assembly.
3. The detection process of the installation height of the component is as follows:
s31, carrying out image recognition on the construction drawing of the photovoltaic power station, and obtaining the recognition result of the component information in the photovoltaic power station in the design process, wherein the recognition result comprises the installation height of each component in the photovoltaic power station in the design process.
S32, acquiring a video image of the photovoltaic power station by means of low-altitude shooting of the unmanned aerial vehicle, and obtaining the actual installation height of each component in the built photovoltaic power station according to the video image.
The method comprises the following steps that IMU information shot by the unmanned aerial vehicle at low altitude and internal parameter information of the unmanned aerial vehicle video acquisition device can be obtained firstly; calculating the actual installation angle of each component in the built photovoltaic power station according to the IMU information, the internal parameter information and the deformation information of the components in the video image; and then calculating the actual installation height of each component in the built photovoltaic power station according to the actual installation angle of the component and the projection length of the component. The projection length is obtained by calculating according to the length of the upper edge of the component and a preset proportionality coefficient, and the preset proportionality coefficient is set according to the internal parameter information.
Taking a solar panel in a photovoltaic power station as an example, the projected length a of the solar panel is a' x f (x), and the actual installation height of the solar panelWherein the parameter a is the projection length of the solar panel, the parameter a' is the upper edge length of the solar panel, the coefficient f (x) is a proportionality coefficient obtained by calculating internal parameters, the parameter h is the actual installation height of the solar panel, and the parameter panel _ angle is the actual installation angle of the solar panel.
And S33, comparing the actual installation height of each component with the installation height of the component in the identification result, and obtaining a detection result about the installation height of the photovoltaic power station component.
4. The detection process of the working state of the component is as follows:
s41, basic state information of the photovoltaic power station is collected, and the basic state information comprises one or more of daily power generation statistics, average irradiance and theoretical power generation.
S42, acquiring a video image of the photovoltaic power station by means of low-altitude shooting of the unmanned aerial vehicle, and obtaining the actual working state of each component in the built photovoltaic power station according to the video image and the photovoltaic power station information.
And S43, comparing the actual working state of each component with corresponding basic state information to obtain a detection result about the working state of the photovoltaic power station component.
For example, a panel of the component can be detected from a captured video image and power station information, whether the component is operating normally can be determined based on the detection result, and the determined component that is not operating normally is displayed specifically.
After completing the detection of four aspects of the quantity and the position of the assemblies, the assembly installation angle, the assembly interval, the assembly installation height, the assembly working state and the like, the detection results are sorted, the detection results mainly comprise quantity detection, angle detection, height detection, interval detection and component function detection, standard acceptance data are formed, and the data are stored in a data information base so as to carry out trend analysis during multiple detection.
As shown in fig. 6, an interactive electronic acceptance report can be generated, the photovoltaic module distribution diagram of the power station is used as a basic background, unqualified modules are identified, any one of the optional modules is selected, and basic acceptance information of the module is displayed so that an acceptance person can quickly view the information. If the detection results are multiple times, trend analysis or display of the station building progress can be carried out.
< example three >
Fig. 7 is a block diagram of a detection apparatus according to an embodiment of the present invention, and as shown in fig. 8, the apparatus of the present embodiment includes:
the digital construction unit 7100 is used for collecting the design information of the photovoltaic power station;
the power station data acquisition unit 7200 is configured to obtain the setup information of the photovoltaic power station by performing image analysis on the video image of the photovoltaic power station;
an analysis detection unit 7300, configured to compare and analyze the setup information of the photovoltaic power station with the design information to obtain an analysis result, where the analysis result indicates whether a component in the photovoltaic power station meets an installation requirement;
a report generating unit 7400 for generating an acceptance report according to the analysis result.
In some embodiments, the digital construction unit 7100 is configured to perform image recognition on a construction drawing of the photovoltaic power station, and obtain a recognition result of component information in the photovoltaic power station in a design process; and acquiring basic state information of the photovoltaic power station, wherein the basic state information comprises one or more of daily power generation statistics, average irradiance and theoretical power generation.
In some embodiments, when the identification result includes the number of components included in the photovoltaic power station and the position information of each component in the design process, the power station data acquisition unit 7200 is configured to acquire a panoramic image of the photovoltaic power station by high-altitude shooting using an unmanned aerial vehicle, and obtain the actual number of components included in the built photovoltaic power station and the position information of each component according to the panoramic image; correspondingly, the analysis and detection unit 7300 is configured to compare the actual number of components and the position information of each component included in the built photovoltaic power station with the number of components and the position information of each component in the recognition result, respectively, to obtain a detection result regarding the number and the position of the components in the photovoltaic power station.
In some embodiments, when the identification result includes the installation angle and the component distance of each component in the photovoltaic power station in the design process, the power station data acquisition unit 7200 is configured to acquire a video image of the photovoltaic power station by means of low-altitude shooting by an unmanned aerial vehicle, and obtain the actual installation angle and the actual component distance of each component in the built photovoltaic power station according to the video image; correspondingly, the analysis and detection unit 7300 is used for comparing the actual installation angle and the actual component pitch of each component with the installation angle and the component pitch of the component in the recognition result respectively to obtain the detection result about the installation angle and the component pitch of the photovoltaic power station component
The power station data acquisition unit 7200 is configured to specifically acquire IMU information shot by the unmanned aerial vehicle at low altitude and internal parameter information of the unmanned aerial vehicle video acquisition device; and calculating the actual installation angle of each component in the built photovoltaic power station according to the IMU information, the internal parameter information and the deformation information of the components in the video image.
In some embodiments, when the identification result includes the installation height of each component in the photovoltaic power station in the design process, the power station data acquisition unit 7200 is configured to acquire a video image of the photovoltaic power station by means of low-altitude shooting by an unmanned aerial vehicle, and obtain the actual installation height of each component in the built photovoltaic power station according to the video image; accordingly, the analysis and detection unit 7300 is configured to compare the actual installation height of each component with the installation height of the component in the recognition result, and obtain a detection result about the installation height of the photovoltaic power plant component.
The power station data acquisition unit 7200 specifically acquires IMU information shot by the unmanned aerial vehicle at low altitude and internal parameter information of the unmanned aerial vehicle video acquisition device; calculating the actual installation angle of each component in the built photovoltaic power station according to the IMU information, the internal parameter information and the deformation information of the components in the video image; and calculating the actual installation height of each component in the built photovoltaic power station according to the actual installation angle of the component and the projection length of the component.
In some embodiments, the power station data acquisition unit 7200 is configured to acquire a video image of the photovoltaic power station by means of low-altitude shooting by an unmanned aerial vehicle, and obtain an actual working state of each component in the built photovoltaic power station according to the video image and the photovoltaic power station information; correspondingly, the analysis detecting unit 7300 is configured to compare the actual operating state of each component with the corresponding basic state information, and obtain a detection result about the operating state of the photovoltaic power plant component.
The specific implementation manner of each module in the apparatus embodiment of the present invention may refer to the related content in the method embodiment of the present invention, and is not described herein again.
< example four >
Fig. 8 is a block diagram of a detection system according to an embodiment of the present invention, and as shown in fig. 8, the detection system includes, in a hardware level, a processor, and optionally an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least one disk Memory.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (peripheral component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 8, but that does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may comprise program code comprising computer executable instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the detection device on the logic level. And a processor executing the program stored in the memory to implement the detection method as described above.
The method for detecting device execution as disclosed in the embodiment of fig. 8 in this specification can be applied to a processor, or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the detection method described above may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present specification may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the detection method disclosed in connection with the embodiments of the present specification may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the detection method in combination with the hardware of the processor.
The invention also provides a computer readable storage medium.
The computer readable storage medium stores one or more computer programs, the one or more computer programs comprising instructions, which when executed by a processor, are capable of implementing the detection method described above.
For the convenience of clearly describing the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", and the like are used to distinguish the same items or similar items with basically the same functions and actions, and those skilled in the art can understand that the words "first", "second", and the like do not limit the quantity and execution order.
While the foregoing is directed to embodiments of the present invention, other modifications and variations of the present invention may be devised by those skilled in the art in light of the above teachings. It should be understood by those skilled in the art that the foregoing detailed description is for the purpose of better explaining the present invention, and the scope of the present invention should be determined by the scope of the appended claims.
Claims (10)
1. A method of detection, comprising:
collecting design information of the photovoltaic power station;
acquiring the built-up information of the photovoltaic power station by carrying out image analysis on the video image of the photovoltaic power station;
comparing and analyzing the built information of the photovoltaic power station and the design information to obtain an analysis result, wherein the analysis result indicates whether the components in the photovoltaic power station meet the installation requirements or not;
and generating an acceptance report according to the analysis result.
2. The method of claim 1, wherein collecting design information for the photovoltaic power plant comprises:
carrying out image recognition on the construction drawing of the photovoltaic power station to obtain a recognition result of component information in the photovoltaic power station in the design process;
and acquiring basic state information of the photovoltaic power station, wherein the basic state information comprises one or more of daily power generation statistics, average irradiance and theoretical power generation.
3. The method of claim 2, wherein the identification result comprises the number of components included in the photovoltaic power plant in the design process and position information of each component, and the obtaining of the construction information of the photovoltaic power plant through image analysis of the video image of the photovoltaic power plant comprises:
acquiring a panoramic image of the photovoltaic power station by using high-altitude shooting of an unmanned aerial vehicle, and acquiring the number of actual components and position information of each component included in the built photovoltaic power station according to the panoramic image;
comparing and analyzing the built-up information and the design information of the photovoltaic power station to obtain an analysis result, wherein the analysis result comprises the following steps:
and comparing the actual number of components and the position information of each component included in the built photovoltaic power station with the number of components and the position information of each component in the identification result respectively to obtain detection results about the number and the positions of the components of the photovoltaic power station.
4. The method of claim 2, wherein the identification result comprises an installation angle and a component distance of each component in the photovoltaic power station in the design process, and the obtaining of the construction information of the photovoltaic power station through image analysis of the video image of the photovoltaic power station comprises:
acquiring a video image of the photovoltaic power station by using low-altitude shooting of an unmanned aerial vehicle, and acquiring an actual installation angle and an actual assembly distance of each assembly in the built photovoltaic power station according to the video image;
comparing and analyzing the built-up information and the design information of the photovoltaic power station to obtain an analysis result, wherein the analysis result comprises the following steps:
and comparing the actual installation angle and the actual assembly distance of each assembly with the installation angle and the assembly distance of the assembly in the identification result respectively to obtain a detection result about the installation angle and the assembly distance of the photovoltaic power station assembly.
5. The method of claim 2, wherein the identification result comprises an installation height of each component in the photovoltaic power plant in the design process, and the obtaining of the construction information of the photovoltaic power plant through image analysis of the video image of the photovoltaic power plant comprises:
acquiring a video image of the photovoltaic power station by using low-altitude shooting of an unmanned aerial vehicle, and acquiring the actual installation height of each component in the built photovoltaic power station according to the video image;
comparing and analyzing the built-up information and the design information of the photovoltaic power station to obtain an analysis result, wherein the analysis result comprises the following steps:
and comparing the actual installation height of each assembly with the installation height of the assembly in the identification result to obtain a detection result about the installation height of the photovoltaic power station assembly.
6. The method of claim 2, wherein obtaining the as built information of the photovoltaic power plant by performing image analysis on a video image of the photovoltaic power plant comprises:
acquiring a video image of the photovoltaic power station by using low-altitude shooting of an unmanned aerial vehicle, and acquiring the actual working state of each component in the built photovoltaic power station according to the video image and the photovoltaic power station information;
comparing and analyzing the built-up information and the design information of the photovoltaic power station to obtain an analysis result, wherein the analysis result comprises the following steps:
and comparing the actual working state of each assembly with corresponding basic state information to obtain a detection result about the working state of the photovoltaic power station assembly.
7. The method of claim 4, wherein the step of acquiring a video image of the photovoltaic power station by means of unmanned aerial vehicle low-altitude shooting, and obtaining an actual installation angle of each component in the built photovoltaic power station according to the video image comprises the following steps:
obtaining IMU information shot by the unmanned aerial vehicle at low altitude and internal parameter information of the unmanned aerial vehicle video acquisition device;
and calculating the actual installation angle of each component in the built photovoltaic power station according to the IMU information, the internal parameter information and the deformation information of the components in the video image.
8. The method of claim 5, wherein the step of acquiring video images of the photovoltaic power station by means of unmanned aerial vehicle low-altitude shooting, and obtaining the actual installation height of each component in the built photovoltaic power station according to the video images comprises the following steps:
obtaining IMU information shot by the unmanned aerial vehicle at low altitude and internal parameter information of the unmanned aerial vehicle video acquisition device;
calculating the actual installation angle of each component in the built photovoltaic power station according to the IMU information, the internal parameter information and the deformation information of the components in the video image;
and calculating the actual installation height of each component in the built photovoltaic power station according to the actual installation angle of the component and the projection length of the component.
9. The method of claim 8, wherein the projection length is calculated according to an upper edge length of the component and a preset scaling factor, wherein the preset scaling factor is set according to the internal parameter information.
10. A detection device, comprising:
the digital construction unit is used for collecting the design information of the photovoltaic power station;
the power station data acquisition unit is used for carrying out image analysis on the video image of the photovoltaic power station to obtain the built-up information of the photovoltaic power station;
the analysis detection unit is used for comparing and analyzing the built information of the photovoltaic power station with the design information to obtain an analysis result, and the analysis result indicates whether the components in the photovoltaic power station meet the installation requirements or not;
and the report generating unit is used for generating an acceptance report according to the analysis result.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113343475A (en) * | 2021-06-21 | 2021-09-03 | 阳光电源股份有限公司 | Method and device for acquiring photovoltaic simulation parameters and computer storage medium |
CN114170507A (en) * | 2021-12-01 | 2022-03-11 | 阳光新能源开发股份有限公司 | Method, device and equipment for determining photovoltaic module installation area and storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106803075A (en) * | 2017-01-13 | 2017-06-06 | 淮南矿业(集团)有限责任公司 | Geological information Weigh sensor system and method based on image recognition technology |
CN108320287A (en) * | 2018-03-12 | 2018-07-24 | 国网江苏省电力公司电力科学研究院 | A kind of transformer station secondary system equipment screen cabinet wiring automatic inspection system and method |
CN109284928A (en) * | 2018-09-27 | 2019-01-29 | 广东开放大学(广东理工职业学院) | A kind of construction monitoring method and system based on unmanned air vehicle technique |
CN110033103A (en) * | 2019-04-12 | 2019-07-19 | 合肥佳讯科技有限公司 | A kind of photovoltaic panel cruising inspection system and method for inspecting |
CN110289810A (en) * | 2019-06-18 | 2019-09-27 | 汪安源 | A kind of photovoltaic plant working status monitoring system and monitoring method |
-
2020
- 2020-01-17 CN CN202010053120.3A patent/CN111211735B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106803075A (en) * | 2017-01-13 | 2017-06-06 | 淮南矿业(集团)有限责任公司 | Geological information Weigh sensor system and method based on image recognition technology |
CN108320287A (en) * | 2018-03-12 | 2018-07-24 | 国网江苏省电力公司电力科学研究院 | A kind of transformer station secondary system equipment screen cabinet wiring automatic inspection system and method |
CN109284928A (en) * | 2018-09-27 | 2019-01-29 | 广东开放大学(广东理工职业学院) | A kind of construction monitoring method and system based on unmanned air vehicle technique |
CN110033103A (en) * | 2019-04-12 | 2019-07-19 | 合肥佳讯科技有限公司 | A kind of photovoltaic panel cruising inspection system and method for inspecting |
CN110289810A (en) * | 2019-06-18 | 2019-09-27 | 汪安源 | A kind of photovoltaic plant working status monitoring system and monitoring method |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113343475A (en) * | 2021-06-21 | 2021-09-03 | 阳光电源股份有限公司 | Method and device for acquiring photovoltaic simulation parameters and computer storage medium |
CN114170507A (en) * | 2021-12-01 | 2022-03-11 | 阳光新能源开发股份有限公司 | Method, device and equipment for determining photovoltaic module installation area and storage medium |
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