Method for identifying a solar energy storage target

Abstract

This invention relates to a method for identifying solar energy storage targets, comprising: setting up an information downloading device near the installation location of the solar energy storage facility and connecting it to the nearest weather forecast server network to download the probability of lightning occurrence at the installation location of the solar energy storage facility in the next time interval; and using a profile analysis device to intelligently determine whether there are effective lightning protection devices at the solar energy storage facility's storage site based on various visualized information. This invention's technical solution can only initiate lightning protection device detection processing when the probability of lightning occurrence at the installation location of the solar energy storage facility in the next time interval, downloaded from the nearest weather forecast server, is greater than or equal to a set probability limit. Simultaneously, it intelligently determines whether there are effective lightning protection devices at the solar energy storage facility's storage site based on various visualized information, thus balancing energy-saving and intelligent requirements.

Description

Technical Field

[0001] This invention relates to the field of solar energy storage, and more particularly to a method for identifying solar energy storage targets. Background Technology

[0002] Solar energy storage involves collecting solar radiation energy and converting it into heat energy through interaction with matter. Currently, the most commonly used solar energy collection devices include four main types: flat-plate collectors, evacuated tube collectors, ceramic solar collectors, and concentrating collectors (trough, dish, and tower types). Solar thermal utilization is generally categorized into low-temperature utilization (<200℃), medium-temperature utilization (200–800℃), and high-temperature utilization (>800℃) based on the achievable temperature and intended use. Low-temperature utilization mainly includes solar water heaters, solar dryers, solar distillers, solar heating (solar houses), solar greenhouses, and solar air conditioning systems; medium-temperature utilization mainly includes solar cookers and solar thermal power generation concentrating collectors; and high-temperature utilization mainly includes high-temperature solar furnaces.

[0003] CN118226268A discloses a method and system for predicting the time point of electrical connection point failure in a solar energy storage battery system. In this method, real-time data from all electrical connection points is acquired, and each real-time data point is input into a data analysis function to obtain several detection scores corresponding to each real-time data point. If none of the detection scores exceed a preset danger value, the real-time data is preprocessed to obtain preprocessed data. The preprocessed data is then processed using a moving average algorithm to obtain true real-time data. A state trend curve is fitted based on the true real-time data. The fault prediction time point is obtained based on the state trend curve. Finally, the fault prediction time point is sent to the detection terminal.

[0004] However, as components for outdoor installation, existing technologies lack intelligent presence detection mechanisms for lightning protection components of solar energy storage devices. At the same time, manual detection mechanisms or crude electronic detection mechanisms are continuous detection modes that consume a lot of energy and cannot simultaneously meet the requirements of intelligence and energy saving. Summary of the Invention

[0005] To address technical issues in related fields, this invention provides a method for identifying solar energy storage targets. This method only initiates overhead photography of the solar energy storage facility's installation location and subsequent lightning protection device detection when the probability of lightning occurrence in the next time interval, as downloaded from the nearest weather forecast server, is greater than or equal to a set probability limit. This avoids excessive system energy waste. Crucially, each sub-image in the received edge-sharpened image is matched with the reference contour pattern corresponding to the lightning protection device. If a sub-image in the edge-sharpened image has a content matching percentage exceeding a set percentage limit with the reference contour pattern corresponding to the lightning protection device, a lightning protection device detection signal is issued. Conversely, if no sub-image in the edge-sharpened image has a content matching percentage exceeding the set percentage limit with the reference contour pattern corresponding to the lightning protection device, a lightning protection device not detected signal is issued. This enables targeted analysis of whether necessary lightning protection devices exist near the location of the solar energy storage facility.

[0006] According to the present invention, a method for identifying solar energy storage targets is provided, the method comprising:

[0007] The information download device is placed near the installation location of the solar energy storage device and connected to the nearest weather forecast server network to download the probability of lightning occurrence at the installation location of the solar energy storage device in the next time interval from the nearest weather forecast server.

[0008] The data acquisition device is connected to the information download device to initiate an overhead camera operation on the installation location of the solar energy storage mechanism when the probability of lightning occurring at the installation location of the solar energy storage mechanism in the next time interval is greater than or equal to a set probability limit, so as to obtain and output the corresponding overhead camera image of the energy storage mechanism.

[0009] The sorting and filtering device is set near the installation location of the solar energy storage mechanism and connected to the data acquisition device. It is used to perform statistical sorting and filtering processing on the received overhead images of the energy storage to obtain and output the corresponding sorted and filtered images.

[0010] The exponential enhancement device is connected to the sorting filter device to perform image content enhancement processing based on exponential transformation on the received sorting filter image, so as to obtain and output the corresponding exponentially enhanced image;

[0011] The edge sharpening device is connected to the exponential enhancement device to perform edge sharpening processing on the received exponentially enhanced image, so as to obtain and output the corresponding edge sharpening image.

[0012] The contour analysis device is connected to the edge sharpening device to perform content matching processing on each sub-image in the received edge sharpening image and the reference contour pattern corresponding to the lightning protection device. When there is a sub-image in the edge sharpening image whose content matching percentage with the reference contour pattern corresponding to the lightning protection device exceeds a set percentage limit, a lightning protection device detection signal is issued. When there is no sub-image in the edge sharpening image whose content matching percentage with the reference contour pattern corresponding to the lightning protection device exceeds a set percentage limit, a lightning protection device not detected signal is issued. The reference contour pattern corresponding to the lightning protection device is pre-stored in the contour analysis device.

[0013] The wireless reporting device is connected to the contour analysis device and simultaneously connected to a remote big data service node, for wirelessly transmitting the received lightning protection device detection signal or lightning protection device undetected signal to the remote big data service node.

[0014] The process of matching each sub-image in the received edge-sharpened image with the reference contour pattern corresponding to the lightning protection device includes: the reference contour pattern corresponding to the lightning protection device is not a single frame.

[0015] Therefore, it can be seen that the present invention has at least the following significant substantive features:

[0016] First, the content matching process is performed on each sub-image in the received edge-sharpened image and the reference contour pattern corresponding to the lightning protection device. When the content matching percentage of a sub-image in the edge-sharpened image with the reference contour pattern corresponding to the lightning protection device exceeds a set percentage limit, a lightning protection device detection signal is issued. When the content matching percentage of a sub-image in the edge-sharpened image with the reference contour pattern corresponding to the lightning protection device does not exceed a set percentage limit, a lightning protection device not detected signal is issued. This enables targeted analysis of whether there are necessary lightning protection devices near the location of the solar energy storage institution.

[0017] Secondly: Only when the probability of lightning occurring at the installation location of the solar energy storage device in the next time interval, as downloaded from the most recent weather forecast server, is greater than or equal to the set probability limit, will the overhead photography operation of the installation location of the solar energy storage device and the subsequent detection and processing of the lightning protection device be initiated, thereby avoiding excessive waste of system energy consumption.

[0018] Furthermore, a targeted image quality optimization system, including sorting filtering equipment, exponential enhancement equipment, and edge sharpening equipment, is used to perform targeted optimization processing on the overhead images corresponding to the installation location of the solar energy storage mechanism. This results in higher quality edge-sharpened images for subsequent detection and processing of lightning protection devices, thereby improving the accuracy and efficiency of lightning protection device detection and processing.

[0019] The method for identifying solar energy storage targets in this invention can only activate the detection and processing of lightning protection devices when the probability of lightning occurrence at the installation location of the solar energy storage institution in the next time interval, as downloaded from the nearest weather forecast server, is greater than or equal to a set probability limit. At the same time, it can intelligently determine whether there are effective lightning protection devices at the energy storage site of the solar energy storage institution based on various visualized information, thereby taking into account both energy-saving and intelligent requirements. Detailed Implementation

[0020] The implementation scheme of the method for identifying solar energy storage targets of the present invention will be described in detail below.

[0021] Example 1

[0022] Example 1 illustrates a method for identifying solar energy storage targets according to a first embodiment of the present invention, the method comprising:

[0023] The information download device is placed near the installation location of the solar energy storage device and connected to the nearest weather forecast server network to download the probability of lightning occurrence at the installation location of the solar energy storage device in the next time interval from the nearest weather forecast server.

[0024] Specifically, the information download device is set near the installation location of the solar energy storage mechanism and connected to the nearest weather forecast server network. It is used to download the probability of lightning occurrence at the installation location of the solar energy storage mechanism in the next time interval from the nearest weather forecast server. The information download device is connected to the nearest weather forecast server network based on time-division duplex communication link and frequency-division duplex communication link.

[0025] The data acquisition device is connected to the information download device to initiate an overhead camera operation on the installation location of the solar energy storage mechanism when the probability of lightning occurring at the installation location of the solar energy storage mechanism in the next time interval is greater than or equal to a set probability limit, so as to obtain and output the corresponding overhead camera image of the energy storage mechanism.

[0026] The sorting and filtering device is set near the installation location of the solar energy storage mechanism and connected to the data acquisition device. It is used to perform statistical sorting and filtering processing on the received overhead images of the energy storage to obtain and output the corresponding sorted and filtered images.

[0027] The exponential enhancement device is connected to the sorting filter device to perform image content enhancement processing based on exponential transformation on the received sorting filter image, so as to obtain and output the corresponding exponentially enhanced image;

[0028] The edge sharpening device is connected to the exponential enhancement device to perform edge sharpening processing on the received exponentially enhanced image, so as to obtain and output the corresponding edge sharpening image.

[0029] The contour analysis device is connected to the edge sharpening device to perform content matching processing on each sub-image in the received edge sharpening image and the reference contour pattern corresponding to the lightning protection device. When there is a sub-image in the edge sharpening image whose content matching percentage with the reference contour pattern corresponding to the lightning protection device exceeds a set percentage limit, a lightning protection device detection signal is issued. When there is no sub-image in the edge sharpening image whose content matching percentage with the reference contour pattern corresponding to the lightning protection device exceeds a set percentage limit, a lightning protection device not detected signal is issued. The reference contour pattern corresponding to the lightning protection device is pre-stored in the contour analysis device.

[0030] The wireless reporting device is connected to the contour analysis device and simultaneously connected to a remote big data service node, for wirelessly transmitting the received lightning protection device detection signal or lightning protection device undetected signal to the remote big data service node.

[0031] The process of matching each sub-image in the received edge-sharpened image with the reference contour pattern corresponding to the lightning protection device includes: the reference contour pattern corresponding to the lightning protection device is not a single frame.

[0032] The method of setting up an information download device near the installation location of the solar energy storage device and connecting it to the nearest weather forecast server network, for downloading the probability of lightning occurrence at the installation location of the solar energy storage device in the next time interval from the nearest weather forecast server, includes: downloading the probability of lightning occurrence at the installation location of the solar energy storage device in the next time interval from the nearest weather forecast server based on the location data of the installation location of the solar energy storage device.

[0033] Example 2

[0034] Example 2 illustrates a method for identifying solar energy storage targets according to a second embodiment of the present invention.

[0035] In Example 2, unlike Example 1, the method for identifying solar energy storage targets shown in the second embodiment of the present invention may further include:

[0036] The voltage measurement mechanism is connected to the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device respectively, for measuring the current real-time voltage values ​​of each of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device respectively;

[0037] The voltage measurement mechanism is connected to the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device respectively, for measuring the current real-time voltage values ​​of each of the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device. The voltage measurement mechanism includes multiple voltage measurement units, each connected to the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device respectively, to perform separate measurements of the current real-time voltage values ​​of each of the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device.

[0038] The voltage measurement mechanism includes multiple voltage measurement units, which are respectively connected to the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device to separately measure the current real-time voltage values ​​of each of the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device. The multiple voltage measurement units are multiple voltage sensing circuits, respectively connected to the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device to separately measure the current real-time voltage values ​​of each of the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device.

[0039] The plurality of voltage measurement units are plurality of voltage sensing circuits, which are respectively connected to the sorting filter device, the exponential enhancement device, the edge sharpening device and the contour analysis device to complete the separate measurement of the current real-time voltage values ​​of the sorting filter device, the exponential enhancement device, the edge sharpening device and the contour analysis device, including: the plurality of voltage sensing circuits have the same structure;

[0040] The plurality of voltage measurement units are plurality of voltage sensing circuits, which are respectively connected to the sorting filter device, the exponential enhancement device, the edge sharpening device and the contour analysis device to complete the separate measurement of the current real-time voltage values ​​of the sorting filter device, the exponential enhancement device, the edge sharpening device and the contour analysis device. The plurality of voltage sensing circuits have the same upper limit voltage measurement value and lower limit voltage measurement value.

[0041] Example 3

[0042] Example 3 illustrates a method for identifying solar energy storage targets according to a third embodiment of the present invention.

[0043] In Example 3, unlike Example 1, the method for identifying solar energy storage targets shown in the third embodiment of the present invention may further include:

[0044] The field configuration interface is connected to multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device, respectively, for real-time configuration of the operating configuration parameters of the multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device;

[0045] The field configuration interface is connected to multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device, respectively, for real-time configuration of the operating configuration parameters of the multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device. The field configuration interface is a serial configuration interface.

[0046] Specifically, the field configuration interface is connected to multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device, respectively, for real-time configuration of the operating configuration parameters of the multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device. This includes: for the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device, the field configuration interface uses different configuration addresses to configure the operating configuration parameters of the multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device in real time.

[0047] In addition, in the method for identifying solar energy storage targets, the probability of lightning occurrence at the installation location of the solar energy storage device in the next time interval is downloaded from the nearest weather forecast server based on the location data of the installation location of the solar energy storage device. This includes: the location data of the installation location of the solar energy storage device is Beidou navigation data or Galileo navigation data.

[0048] The downloading of the lightning probability of the solar energy storage device's installation location in the next time interval from the nearest weather forecast server, based on the location data of the solar energy storage device's installation location, also includes: performing the download operation based on a frequency division communication link for bidirectional communication.

[0049] Furthermore, the above embodiments have been described for ease of understanding of the invention, and the invention is not limited to the above embodiments. Rather, the invention is intended to cover various modifications and equivalents included within the scope of the appended claims, which are interpreted in the broadest sense to encompass all such modifications and equivalents permitted by law.

Claims

1. A method for identifying solar energy storage targets, characterized in that, The method includes: The information download device is placed near the installation location of the solar energy storage device and connected to the nearest weather forecast server network to download the probability of lightning occurrence at the installation location of the solar energy storage device in the next time interval from the nearest weather forecast server. The data acquisition device is connected to the information download device to initiate an overhead camera operation on the installation location of the solar energy storage mechanism when the probability of lightning occurring at the installation location of the solar energy storage mechanism in the next time interval is greater than or equal to a set probability limit, so as to obtain and output the corresponding overhead camera image of the energy storage mechanism. The sorting and filtering device is set near the installation location of the solar energy storage mechanism and connected to the data acquisition device. It is used to perform statistical sorting and filtering processing on the received overhead images of the energy storage to obtain and output the corresponding sorted and filtered images. The exponential enhancement device is connected to the sorting filter device to perform image content enhancement processing based on exponential transformation on the received sorting filter image, so as to obtain and output the corresponding exponentially enhanced image; The edge sharpening device is connected to the exponential enhancement device to perform edge sharpening processing on the received exponentially enhanced image, so as to obtain and output the corresponding edge sharpening image; The contour analysis device is connected to the edge sharpening device to perform content matching processing on each sub-image in the received edge sharpening image and the reference contour pattern corresponding to the lightning protection device. When there is a sub-image in the edge sharpening image whose content matching percentage with the reference contour pattern corresponding to the lightning protection device exceeds a set percentage limit, a lightning protection device detection signal is issued. When there is no sub-image in the edge sharpening image whose content matching percentage with the reference contour pattern corresponding to the lightning protection device exceeds a set percentage limit, a lightning protection device not detected signal is issued. The reference contour pattern corresponding to the lightning protection device is pre-stored in the contour analysis device. The wireless reporting device is connected to the contour analysis device and simultaneously connected to a remote big data service node, for wirelessly transmitting the received lightning protection device detection signal or lightning protection device undetected signal to the remote big data service node. The process of matching each sub-image in the received edge-sharpened image with the reference contour pattern corresponding to the lightning protection device includes: the reference contour pattern corresponding to the lightning protection device is not a single frame.

2. The method for identifying solar energy storage targets as described in claim 1, characterized in that: The information download device is placed near the installation location of the solar energy storage device and connected to the nearest weather forecast server network. It is used to download the probability of lightning occurrence at the installation location of the solar energy storage device in the next time interval from the nearest weather forecast server. This includes: downloading the probability of lightning occurrence at the installation location of the solar energy storage device in the next time interval from the nearest weather forecast server based on the location data of the installation location of the solar energy storage device.

3. The method for identifying solar energy storage targets as described in claim 2, characterized in that, The method further includes: The voltage measurement mechanism is connected to the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device respectively, for measuring the current real-time voltage values ​​of each of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device respectively; The voltage measurement mechanism is connected to the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device respectively, for measuring the current real-time voltage values ​​of each of the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device. The voltage measurement mechanism includes multiple voltage measurement units, each connected to the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device respectively, to perform separate measurements of the current real-time voltage values ​​of each of the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device.

4. The method for identifying solar energy storage targets as described in claim 3, characterized in that: The voltage measurement mechanism includes multiple voltage measurement units, which are respectively connected to the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device to separately measure the current real-time voltage values ​​of each of the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device. The multiple voltage measurement units are multiple voltage sensing circuits, respectively connected to the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device to separately measure the current real-time voltage values ​​of each of the sorting filter, the exponential enhancement device, the edge sharpening device, and the contour analysis device.

5. The method for identifying solar energy storage targets as described in claim 4, characterized in that: The plurality of voltage measurement units are plurality of voltage sensing circuits, which are respectively connected to the sorting filter device, the exponential enhancement device, the edge sharpening device and the contour analysis device to complete the separate measurement of the current real-time voltage values ​​of the sorting filter device, the exponential enhancement device, the edge sharpening device and the contour analysis device, including: the plurality of voltage sensing circuits have the same structure.

6. The method for identifying solar energy storage targets as described in claim 5, characterized in that: The plurality of voltage measurement units are plurality of voltage sensing circuits, which are respectively connected to the sorting filter device, the exponential enhancement device, the edge sharpening device and the contour analysis device to complete the separate measurement of the current real-time voltage values ​​of the sorting filter device, the exponential enhancement device, the edge sharpening device and the contour analysis device. The plurality of voltage sensing circuits have the same upper limit voltage measurement value and lower limit voltage measurement value.

7. The method for identifying solar energy storage targets as described in any one of claims 3-6, characterized in that, The method further includes: The field configuration interface is connected to multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device, respectively, for real-time configuration of the operating configuration parameters of the multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device.

8. The method for identifying solar energy storage targets as described in claim 7, characterized in that: The field configuration interface is connected to multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device, respectively, for real-time configuration of the operating configuration parameters of the multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device, including: the field configuration interface is a serial configuration interface.

9. The method for identifying solar energy storage targets as described in claim 7, characterized in that: The field configuration interface is connected to multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device, respectively, for real-time configuration of the operating configuration parameters of the multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device. Specifically, for each of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device, the field configuration interface uses different configuration addresses to configure the operating configuration parameters of the multiple voltage sensing circuits of the sorting filter device, the exponential enhancement device, the edge sharpening device, and the contour analysis device in real time.