Link fusion method and system for photovoltaic power station and intelligent system

Abstract

The invention relates to the field of photovoltaic power generation, and discloses a link fusion method and system for a photovoltaic power station, and an intelligent system. The method comprises the steps of collecting original data of an intelligent system of a photovoltaic power station, and dividing the original data of the intelligent system into multiple classes; and assigning priorities to the multiple types of data, wherein each priority corresponds to a respective transmission data level. All communication link conditions at the current moment are evaluated, if the transmission data grade of the to-be-transmitted data is high, the communication link with the good transmission condition is selected, and the to-be-transmitted data is transmitted to an operation and maintenance management center of the photovoltaic power station; and automatically distributing the to-be-transmitted data of other transmission data levels to corresponding communication links for data transmission according to communication link conditions. Based on the method, the data processing efficiency and the operation and maintenance response speed of the photovoltaic power station can be remarkably improved, and meanwhile, the data transmission delay and the error rate caused by communication congestion are reduced.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic power generation, and in particular to a link fusion method and system for photovoltaic power stations and an integrated intelligent system. Background Art

[0002] This section is intended to provide a background or context for the embodiments of the present application as stated in the claims. The contents in this section are for reference only and do not constitute an admission or confirmation that they are prior art that has been disclosed.

[0003] As the global demand for clean energy grows, photovoltaic power stations, as an important way to generate clean energy, have received widespread attention for their construction and operation management. The existing operation and maintenance of photovoltaic power stations mainly rely on manual inspections and regular maintenance, which is not only time-consuming and labor-intensive, but also particularly difficult when dealing with large-scale and widely distributed power stations. In addition, with the expansion of the scale of photovoltaic power stations and the continuous updating of technology, the complexity of operation and maintenance management is also increasing.

[0004] The current technical problems mainly include:

[0005] 1. Limitations of the intelligent operation and maintenance system: The existing intelligent operation and maintenance system for photovoltaic power plants has a relatively simple visual interface, which makes it difficult to deeply reflect the actual operation of the power plant. In addition, the operation of some subsystems is complicated, requiring operators to have high professional knowledge, and some subsystems are not fully functional and cannot achieve full automation and unmanned operation, which increases labor costs.

[0006] 2. Vulnerability of data transmission: The data transmission method at the photovoltaic power station is relatively fixed. Once a transmission link is interrupted or blocked, it may cause the data to lose monitoring. In serious cases, it may even cause damage to the equipment, further affecting the power generation efficiency. Summary of the invention

[0007] The purpose of this application is to provide a link fusion method, system and intelligent system for photovoltaic power stations, which can significantly improve the data processing efficiency and operation and maintenance response speed of photovoltaic power stations, while reducing data congestion and data loss caused by communication link failures.

[0008] The present application discloses a link fusion method for a photovoltaic power station, comprising:

[0009] Collecting raw data of the intelligent system of the photovoltaic power station, and classifying the raw data of the intelligent system into multiple categories;

[0010] assigning priorities to the plurality of categories of said data, each priority corresponding to a respective level of transmission data;

[0011] All communication link conditions at the current moment are evaluated. If the transmission data level of the data to be transmitted is high, a communication link with better transmission conditions is selected to transmit the data to be transmitted to the operation and maintenance management center of the photovoltaic power station. At the same time, the data to be transmitted of other transmission data levels are automatically allocated to the corresponding communication links for data transmission according to the conditions of the remaining communication links.

[0012] In a preferred embodiment, the classifying the raw data of the intelligent system into multiple categories includes:

[0013] Classifying the raw data of the intelligent system into video data, image data and sensor data through file feature analysis and metadata processing;

[0014] The classified data is preprocessed, the video data and the picture data are analyzed through image recognition, pictures and videos with abnormal situations are identified, and the pictures and videos with abnormal situations are saved as abnormal data.

[0015] In a preferred example, the evaluating the transmission conditions of all the communication links at the current moment includes:

[0016] Determine a list of target IP addresses of the wired channel to be evaluated, and set a frequency of sending data packets, wherein the data packets include a sequence number and a timestamp;

[0017] Use a network tool to send the data packet to each receiving end;

[0018] Capture the response returned from the target IP address, record the timestamps of sending the data packet and receiving the response to the data packet, and calculate the round-trip delay of the data based on the difference between the sending and receiving timestamps;

[0019] At the same time, obtaining the transmission rate, wired signal strength and bit error rate during the signal transmission process of the communication link;

[0020] The transmission condition of the wired channel is comprehensively determined according to the round-trip delay of the data, the transmission rate, the wired signal strength and the bit error rate obtained:

[0021]

[0022] Among them, N RTT represents the normalized index of the round-trip delay of the data, N R represents a normalized index of the transmission rate, Represents the normalized index of the wired signal strength, N BER surface

[0023] showing a normalized index of the bit error rate;

[0024] Assign a corresponding weight to each normalized indicator to obtain the comprehensiveness of the wired channel.

[0025] Energy Index CPI C , the sum of the weights is 1:

[0026]

[0027] Among them, ω RTT For the N RTT The weight, ω R For the N R The weight of For the The weight, ω BER For the N BER The weight of

[0028] The comprehensive performance index CPI of the wired channel C Compare with preset thresholds i1 and i2 to determine the transmission condition of the wired channel:

[0029] If CPI C ≥i1, the transmission condition of the wired channel is excellent;

[0030] If i2≤CPI C <i1, the transmission condition of the wired channel is good;

[0031] If CPI C <i2, the transmission condition of the wired channel is medium.

[0032] In a preferred example, the evaluating the transmission conditions of all the communication links at the current moment includes:

[0033] Determine a wireless channel to be evaluated, and capture a wireless signal of the wireless channel at a set frequency;

[0034] Recording the strength of the captured wireless signal and the noise level of the surrounding environment;

[0035] Based on the strength of the wireless signal and the noise level, the signal power of the wireless signal and the noise power of the background noise of the wireless signal are obtained, and a signal-to-noise ratio of the wireless signal is calculated, wherein the signal-to-noise ratio=signal power / noise power. Meanwhile, the wireless signal strength is also obtained;

[0036] Comprehensively determine the transmission condition of the wireless channel according to the acquired signal-to-noise ratio and the wireless signal strength:

[0037]

[0038] Among them, N SNR represents the normalized index of the signal-to-noise ratio, Indicates the wireless signal

[0039] Normalized index of intensity;

[0040] Assign a corresponding weight to each normalized indicator to obtain the comprehensiveness of the wireless channel.

[0041] Energy Index CPI W , the sum of the weights is 1:

[0042]

[0043] Among them, ω SNR For the N SNR The weight of For the The weight of

[0044] The comprehensive performance index CPI of the wireless channel W Compare with preset thresholds i3 and i4 to determine the transmission condition of the wireless channel:

[0045] If CPI W ≥i3, the transmission condition of the wireless channel is excellent;

[0046] If i3≤CPI W <i4, the transmission condition of the wireless channel is good;

[0047] If CPI W <i4, the transmission condition of the wireless channel is medium.

[0048] In a preferred embodiment, it also includes:

[0049] Preprocess the collected raw data to identify and correct errors, invalid values, and missing values;

[0050] Paste the corresponding priority tags to the preprocessed data and configure the data transmission rules:

[0051] According to the priority label of the data, the corresponding transmission data level is set, wherein the alarm data is the first-level transmission data, the abnormal data is the second-level transmission data, and the remaining data is the third-level transmission data;

[0052] The first-level transmission data selects the communication link with excellent transmission condition for transmission, the second-level transmission data selects the communication link with good transmission condition for transmission, and the third-level transmission data selects the communication link with medium transmission condition for transmission;

[0053] The method for screening the alarm data is as follows: pre-define an alarm character or string, check all the collected data of the intelligent system of the photovoltaic power station, and set the data starting with the pre-defined alarm character or string as the alarm data;

[0054] The method for screening abnormal data is: pre-defining abnormal characters or character strings, checking all the collected data of the intelligent system of the photovoltaic power station, and setting the data with the pre-defined abnormal characters or character strings as abnormal data.

[0055] In a preferred embodiment, it also includes:

[0056] Selecting a corresponding transmission mode for each data, wherein determining whether the data is important data, if the data is important data, redundantly transmitting the important data through the Beidou short message transmission mode, wherein the important data includes the alarm data of each subsystem of the intelligent system of the photovoltaic power station and the production safety data of the photovoltaic power station;

[0057] If the byte length of the important data is greater than 485 bytes, a corresponding wired channel or wireless channel is selected for transmission according to the transmission conditions of the communication link for the important data greater than 485 bytes.

[0058] The present application also discloses a link fusion system for a photovoltaic power station, comprising:

[0059] A data classification module is used to classify the collected raw data of the intelligent system of the photovoltaic power station into multiple categories, including video data, sensor data and image data;

[0060] A data analysis module is used to analyze and preprocess the classified data, analyze the video data and the picture data through image recognition, identify pictures and videos with abnormal conditions, save the pictures and videos with abnormal conditions as abnormal data, and attach corresponding priority labels and transmission mode labels to multiple types of data;

[0061] A wired bandwidth monitoring and data forwarding module, used to obtain multiple values ​​during the wired channel signal transmission process, comprehensively determine the data transmission conditions of the wired channel, and forward the data to the corresponding wired channel according to the data transmission conditions of the wired channel;

[0062] A wireless channel monitoring and data forwarding module, used to obtain multiple values ​​during the wireless channel signal transmission process, comprehensively evaluate the data transmission conditions of the wireless channel, and forward the data to the corresponding wireless channel according to the data transmission conditions of the wireless channel;

[0063] The data comparison and forwarding module is used to compare the transmission mode label of the data with the data transmission condition of the communication link, and forward the data to the corresponding communication link.

[0064] In a preferred example, the data comparison and forwarding module is also configured to forward alarm signals with higher priority and byte length less than 485 bytes to a Beidou short message communication link with better data transmission conditions for redundant transmission.

[0065] The present application also discloses an intelligent system, including the link fusion system as described above and multiple other subsystems, wherein the multiple subsystems include:

[0066] Data monitoring and management system, used to collect real-time monitoring and control information data, production management data and operation management data from the photovoltaic power station plant;

[0067] Intelligent operation and maintenance system, used for drone inspection, equipment fault troubleshooting and video monitoring of photovoltaic power stations, sends out abnormal detection signals, and transmits equipment fault warnings, visual analysis results and real-time monitoring data to the outside world;

[0068] A three-dimensional visualization system for monitoring and displaying environmental parameters, power generation statistics, alarm information and equipment operating status of the photovoltaic power station;

[0069] The link fusion system is used to obtain various types of original data from the remaining multiple subsystems, fuse various types of original data from the remaining multiple subsystems, classify the fused data, evaluate the data transmission conditions of the communication link, and select a suitable transmission method for the fused data to transmit the data to the operation and maintenance management center of the photovoltaic power station.

[0070] The present application also discloses a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, the steps in the method described above are implemented.

[0071] In the implementation mode of the present application, by collecting and classifying the original data of each subsystem of the intelligent system, assigning priorities to different categories of data, and dynamically selecting the best transmission path according to the real-time channel conditions, high-priority data can be preferentially transmitted through links with better conditions, while other data are allocated through corresponding links according to their respective levels. This intelligent link fusion technology not only enhances the reliability of data transmission and reduces transmission interruptions caused by link failures or congestion, but also optimizes the use of resources and reduces operation and maintenance costs.

[0072] Furthermore, by performing real-time quality assessment of wired and wireless channels, the system can accurately determine the current status of each communication link and dynamically adjust the transmission strategy based on this data. This real-time assessment and response mechanism not only improves the efficiency of data transmission, but also ensures that the system can continue to maintain efficient and stable operation when the network status changes.

[0073] Furthermore, by preprocessing the collected raw data, identifying and correcting errors, invalid values ​​and missing values, and attaching corresponding priority labels to the preprocessed data, the system can transmit the data in an orderly manner according to the priority of the data. For example, alarm data (primary transmission data) is transmitted through a communication link with excellent transmission conditions, while abnormal data (secondary transmission data) is transmitted through a communication link with good transmission conditions. This precise data transmission rule configuration effectively optimizes resource allocation and improves system response speed and overall efficiency.

[0074] Furthermore, through an integrated intelligent system, multiple subsystems such as data monitoring management, intelligent operation and maintenance, video monitoring and three-dimensional visualization are integrated, which significantly improves the operation and maintenance efficiency and data processing capacity of photovoltaic power stations. The data monitoring management module in the system is responsible for collecting real-time monitoring and control information of photovoltaic power stations, including production management data and operation management data, while the intelligent operation and maintenance module uses drones to conduct inspections, repair equipment failures, and monitor the equipment operation status in real time, and issue abnormal detection signals and equipment failure warnings in a timely manner. In addition, the three-dimensional visualization system provides an intuitive interface for operation and maintenance personnel to display the environmental parameters, power generation statistics and alarm information of the power station, which greatly facilitates the operation and maintenance personnel to quickly grasp the situation of the plant and respond. The application of the link fusion system ensures that the original data collected from each subsystem can be effectively fused and classified, and the best transmission method is selected according to the real-time communication link conditions to ensure data security and transmission efficiency. This system integration design not only solves the problems of scattered system functions and single structure, but also greatly reduces the operating cost through intelligent and automated operation and maintenance processes, and improves the overall performance and reliability of the system.

[0075] Each technical feature disclosed in the above invention content, each technical feature disclosed in each implementation mode and example below, and each technical feature disclosed in the accompanying drawings can be freely combined with each other to form various new technical solutions (these technical solutions should be deemed to have been recorded in this specification), unless such combination of technical features is technically infeasible. For example, in one example, feature A+B+C is disclosed, and in another example, feature A+B+D+E is disclosed, and features C and D are equivalent technical means that play the same role. Technically, only one of them can be used, and it is impossible to use them at the same time. Feature E can be combined with feature C technically. Then, the solution of A+B+C+D should not be deemed to have been recorded because it is technically infeasible, while the solution of A+B+C+E should be deemed to have been recorded. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 It is a flow chart of a link fusion method for a photovoltaic power station according to an embodiment of the present application.

[0077] Figure 2 It is a flow chart of a link fusion method for a photovoltaic power station according to an embodiment of the present application.

[0078] Figure 3 It is a flow chart of a link fusion method for a photovoltaic power station according to an embodiment of the present application.

[0079] Figure 4 It is a flow chart of a link fusion method for a photovoltaic power station according to an embodiment of the present application.

[0080] Figure 5 It is a flow chart of a link fusion method for a photovoltaic power station according to an embodiment of the present application.

[0081] Figure 6 It is a structural schematic diagram of a link fusion system for a photovoltaic power station according to an embodiment of the present application.

[0082] Figure 7 It is a schematic diagram of the structure of an intelligent system according to one embodiment of the present application. DETAILED DESCRIPTION

[0083] In the following description, many technical details are provided to help readers better understand the present application. However, those skilled in the art can understand that the technical solution claimed in the present application can be implemented even without these technical details and various changes and modifications based on the following embodiments.

[0084] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0085] The first implementation of the present application relates to a link fusion method for a photovoltaic power station, the process of which is as follows: Figure 1 As shown, the method comprises the following steps:

[0086] In step 101, raw data of an intelligent system of a photovoltaic power station is collected and classified into multiple categories;

[0087] In step 102, priorities are assigned to multiple types of data, each priority corresponding to a respective transmission data level;

[0088] In step 103, all communication link conditions at the current moment are evaluated. If the transmission data level of the data to be transmitted is high, a communication link with better transmission conditions is selected to transmit the data to be transmitted to the operation and maintenance management center of the photovoltaic power station. At the same time, the data to be transmitted of other transmission data levels are automatically allocated to the corresponding communication links for data transmission according to the conditions of the remaining communication links.

[0089] In an optional embodiment, if Figure 2 As shown, in step 101, classifying the raw data of the intelligent system into multiple categories may further include:

[0090] In step 201, the raw data of the intelligent system is classified into video data, image data and sensor data through file feature analysis and metadata processing;

[0091] In step 202, the classified data is preprocessed, the video data and the picture data are analyzed by image recognition, the pictures and videos with abnormal conditions are identified, and the pictures and videos with abnormal conditions are saved as abnormal data.

[0092] In an optional embodiment, if Figure 3 As shown, evaluating the transmission conditions of all communication links at the current moment in step 103 may further include:

[0093] In step 301, a target IP address list of the wired channel to be evaluated is determined, and a frequency of sending a data packet is set, the data packet including a sequence number and a timestamp;

[0094] In step 302, a data packet is sent to each receiving end using a network tool;

[0095] In step 303, the response returned from the target IP address is captured, the timestamps of sending the data packet and receiving the data packet response are recorded, and the round-trip delay of the data is calculated based on the difference between the sending and receiving timestamps;

[0096] In step 304, the transmission rate, wired signal strength, and bit error rate of the communication link during signal transmission are obtained.

[0097] In step 305, the transmission condition of the wired channel is comprehensively determined based on the round-trip delay, transmission rate, wired signal strength and bit error rate of the acquired data.

[0098]

[0099] Among them, N RTT Represents the normalized indicator of the round-trip delay of the data, N R A normalized index representing the transmission rate. Indicates the normalized index of wired signal strength, N BER A normalized indicator representing the bit error rate.

[0100] N RTT and N BER It is a negative indicator (the smaller the value, the better), N R and It is a positive indicator (the larger the value, the better).

[0101] In step 306, a corresponding weight is assigned to each normalized index to obtain the comprehensive performance index CPI of the wired channel. C , the sum of weights is 1.

[0102]

[0103] Among them, ω RTT N RTT The weight, ω R N R The weight of for The weight, ω BER N BER The weight of .

[0104] In step 307, the comprehensive performance index CPI of the wired channel is C The data is compared with the preset thresholds i1 and i2 to determine the transmission condition of the wired channel.

[0105] If CPI C ≥i1, the transmission condition of the wired channel is excellent;

[0106] If i2≤CPI C <i1, the transmission condition of the wired channel is good;

[0107] If CPI C <i2, the transmission condition of the wired channel is medium.

[0108] In the actual monitoring process, CPI can be monitored in real time C Once the index falls below a critical threshold (such as i2), the system can automatically trigger an alarm, prompting the network administrator to check and intervene.

[0109] In an optional embodiment, if Figure 4 As shown, evaluating the transmission conditions of all communication links at the current moment may further include:

[0110] In step 401, a wireless channel to be evaluated is determined, and a wireless signal of the wireless channel at a set frequency is captured;

[0111] In step 402, the strength of the captured wireless signal and the noise level of the surrounding environment are recorded;

[0112] In step 403, based on the strength and noise level of the wireless signal, the signal power of the wireless signal and the noise power of the background noise of the wireless signal are obtained, and the signal-to-noise ratio of the wireless signal is calculated, where signal-to-noise ratio=signal power / noise power. At the same time, the wireless signal strength is also obtained;

[0113] In step 404, the transmission condition of the wireless channel is comprehensively determined based on the acquired signal-to-noise ratio and wireless signal strength:

[0114]

[0115] Among them, N SNR Represents the normalized index of signal-to-noise ratio, Indicates the wireless signal strength.

[0116] One indicator;

[0117] In step 405, a corresponding weight is assigned to each normalized indicator to obtain the comprehensive performance index CPI of the wireless channel. W , the weights sum to 1:

[0118]

[0119] Among them, ω SNR N sNR The weight of for The weight of

[0120] In step 406, the comprehensive performance index CPI of the wireless channel is W With preset thresholds i3 and i4

[0121] Compare and determine the transmission conditions of the wireless channel:

[0122] If CPIW ≥i3, the transmission condition of the wireless channel is excellent;

[0123] If i3≤CPI W <i4, the transmission condition of the wireless channel is good;

[0124] If CPI W <i4, the transmission condition of the wireless channel is medium.

[0125] In an optional embodiment, if Figure 5 As shown, it may further include:

[0126] In step 501, the collected raw data is preprocessed to identify and correct errors, invalid values ​​and missing values ​​therein;

[0127] In step 502, a corresponding priority tag is attached to the pre-processed data, and data transmission rules are configured:

[0128] In step 5021, the corresponding transmission data level is set according to the priority label of the data, wherein the alarm data is the first-level transmission data, the abnormal data is the second-level transmission data, and the remaining data is the third-level transmission data;

[0129] In step 5022, the first-level transmission data selects a communication link with an excellent transmission condition for transmission, the second-level transmission data selects a communication link with a good transmission condition for transmission, and the third-level transmission data selects a communication link with a medium transmission condition for transmission.

[0130] The method for screening the alarm data is as follows: pre-define an alarm character or string, check all the collected data of the intelligent system of the photovoltaic power station, and set the data starting with the pre-defined alarm character or string as the alarm data.

[0131] Specifically, all alarm information in all subsystems of the intelligent system from the photovoltaic power station can be data starting with "Alert:", "Warning:" or "Error:". String matching technology is used to check whether each data starts with these predefined alarm characters or strings. For alarm identifiers with more complex or changing formats, regular expressions can be used to match alarm data. Once a data entry is identified that meets the criteria for alarm data, that is, it starts with a predefined alarm character or string, the data is extracted from the total data stream as alarm data, a transmission data level of the first-level transmission data is set for it, and a communication link with excellent transmission conditions is selected for transmission. Furthermore, the alarm data can also be classified or graded according to severity or category (for example, "high", "medium" or "low", etc.), and the corresponding transmission data level and communication link are matched for it.

[0132] The method for screening abnormal data is: pre-defining abnormal characters or character strings, checking all the collected data of the intelligent system of the photovoltaic power station, and setting the data with the pre-defined abnormal characters or character strings as abnormal data.

[0133] Specifically, any data that exceeds the preset normal operating parameter range is considered abnormal data. These parameters may include temperature, pressure, current, etc. The normal operating range of each parameter must be set in the system in advance. For easy identification, all data that exceeds the normal range will automatically add predefined abnormal characters or strings, such as "Exception:". The intelligent system of the photovoltaic power station implements an automatic monitoring and marking mechanism to perform real-time analysis of data from all subsystems. When the data exceeds its preset normal range, the system automatically adds the "Exception:" mark in front of the data, and checks whether the collected data contains predefined abnormal characters or strings such as "Exception:" through string matching technology. Once a data entry is confirmed as abnormal data, it will be extracted from the total data stream, the transmission data level of the secondary transmission data will be set for it, and the communication link with good transmission conditions will be selected for transmission.

[0134] In an optional embodiment, the method may further include:

[0135] A corresponding transmission method is selected for each data, wherein it is determined whether the data is important data. If the data is important data, the important data is redundantly transmitted through the Beidou short message transmission method. Important data can be roughly divided into two categories: one is the alarm data of each subsystem of the intelligent system of the photovoltaic power station, and the other is the production safety data of the photovoltaic power station, such as the working status of the inverter (output waveform quality, frequency, voltage and other parameters), the electrical performance parameters of the photovoltaic module (such as open circuit voltage, short circuit current, maximum power point voltage, maximum power point current, etc.).

[0136] In the photovoltaic power station project, the short message communication function of the Beidou satellite navigation system was used, and the Beidou level 3 service card with a 60-second transmission frequency was specially selected. Each message that can be sent is up to 485 bytes, which is suitable for reliable data transmission in remote areas without ground communication network coverage. Therefore, if the byte length of important data is greater than 485 bytes, the corresponding wired channel or wireless channel is selected for transmission according to the transmission conditions of the communication link.

[0137] In order to better understand the technical solution of the present application, a specific example is provided below for illustration. The details listed in the example are mainly for ease of understanding and are not intended to limit the scope of protection of the present application.

[0138] This embodiment relates to a link fusion system for photovoltaic power plants, which aims to solve the security and reliability problems of data transmission in the prior art, especially in the scenario where multiple data transmission methods are integrated. The link fusion system uses artificial intelligence, big data analysis and other technologies to automatically fuse, classify and evaluate the transmission links of data from various subsystems to ensure that the data can be efficiently and securely transmitted back to the photovoltaic power plant operation and maintenance management center.

[0139] The system first collects raw data from the intelligent system of the photovoltaic power station, including video data, image data and sensor data. The data acquisition module classifies these data through file feature analysis and metadata processing. For example, the video generated by the video monitoring system and the video taken during the drone inspection are classified as video data; the pictures taken during the drone inspection and the pictures taken by the on-site monitoring camera are classified as picture data; the voltage / current data and temperature data of the photovoltaic panels and box transformers are classified as sensor data.

[0140] The data analysis module further analyzes the classified data. This includes using image recognition technology to analyze video and image data, filtering out data with abnormal conditions and saving them as abnormal data. At the same time, this module is also responsible for discovering and correcting errors, invalid values, and missing values ​​in data files. Each type of data is labeled with different priority levels according to its content and importance. For example, alarm data is labeled as first-level transmission data, abnormal data is labeled as second-level transmission data, and the rest of the data is labeled as third-level transmission data.

[0141] The system's built-in wired bandwidth monitoring module and wireless channel monitoring module use intelligent algorithms to evaluate the current channel conditions of wired and wireless channels. For example, by obtaining the round-trip delay of the data, the transmission rate during the communication link signal transmission, the wired signal strength, and the bit error rate to comprehensively evaluate the transmission conditions of the wired channel, measure the signal-to-noise ratio of the wireless channel, and obtain the wireless signal strength at the same time, the system can comprehensively judge the transmission conditions of each communication link. According to the priority of the data and the transmission conditions of the communication link, the system selects the most appropriate transmission method. The first-level transmission data gives priority to optical fiber or 5G links with excellent transmission conditions, and at the same time uses Beidou short messages for redundant transmission to ensure the security and reliability of the data. Secondary and tertiary transmission data select appropriate transmission methods according to the corresponding link conditions.

[0142] As a special service integrating communication and navigation, Beidou short message has a wide coverage and low cost, and is particularly suitable for emergency communication and Internet of Things communication. In the absence of ground communication network or ground communication network is unavailable, Beidou short message can ensure the security and stability of communication. For important but large data volume (for example, greater than 485 bytes) information, the system will select the corresponding wired channel or wireless channel for transmission according to the transmission conditions of the communication link.

[0143] The second embodiment of the present application relates to a link fusion system for a photovoltaic power station, and its structure is as follows: Figure 6 As shown, the link fusion system for a photovoltaic power station includes: a data classification module, a data analysis module, a wired bandwidth monitoring and data forwarding module, a wireless channel monitoring and data forwarding module, and a data comparison and forwarding module.

[0144] The data classification module is used to classify the collected raw data of the intelligent system of the photovoltaic power station into multiple categories, including video data, sensor data and image data. The data analysis module is used to analyze and preprocess the classified data, analyze the video data and image data through image recognition, identify the pictures and videos with abnormal conditions, and save the pictures and videos with abnormal conditions as abnormal data. For example, predefined abnormal characters or strings can be added to the data such as pictures and videos with abnormal conditions. When the abnormal characters or strings are detected, the pictures and video data with abnormal conditions can be filtered as abnormal data. The data analysis module is also used to paste corresponding priority labels and transmission mode labels on multiple types of data. The wired bandwidth monitoring and data forwarding module is used to obtain the round-trip delay of data in the wired channel, the transmission rate during signal transmission, the wired signal strength and the bit error rate, etc., so as to comprehensively evaluate the data transmission conditions of the wired channel, and forward the data to the corresponding wired channel according to the data transmission conditions of the wired channel. The wireless channel monitoring and data forwarding module is used to obtain multiple values ​​during the signal transmission of the wireless channel, comprehensively evaluate the data transmission conditions of the wireless channel, and forward the data to the corresponding wireless channel according to the data transmission conditions of the wireless channel. The data comparison and forwarding module is used to compare the data transmission mode label and the data transmission condition of the communication link, and forward the data to the corresponding communication link.

[0145] The first implementation manner is a method implementation manner corresponding to the present implementation manner. The technical details in the first implementation manner can be applied to the present implementation manner, and the technical details in the present implementation manner can also be applied to the first implementation manner.

[0146] like Figure 7 As shown, the third embodiment of the present application relates to an intelligent system, which includes the link fusion system as described above, and multiple other subsystems, wherein the multiple subsystems include a data monitoring management system, an intelligent operation and maintenance system, and a three-dimensional visualization system.

[0147] The data monitoring and management system consists of a data monitoring system and a data management system:

[0148] The data monitoring system collects real-time monitoring and control information data from the photovoltaic plant, mainly including the operating parameters of the electrical system, the operating status and operating parameters of the electrical equipment, environmental data, metering and energy consumption data, performance calculation data, alarm data, optimization data, and abnormal operating data, etc. Since the data collected by the system has high real-time requirements, two or more transmission methods are considered to ensure the safe and reliable transmission of production data, and the data transmission is classified as the first-level transmission category.

[0149] The data collected by the data management system can be roughly divided into production management data and operation management data. Production management data mainly includes operation management, regular work management, equipment management, defect management, work order management, technical supervision management, material management, inspection management, safety management and other data; operation management data mainly includes data related to the preparation and management of strategic planning, annual comprehensive plan, master production plan, material demand plan, and capacity plan; because the real-time nature of the system data is weaker than that of the data monitoring system data, the data transmission is classified as the secondary transmission level.

[0150] The intelligent operation and maintenance system consists of a drone intelligent inspection system, an intelligent maintenance system, and a video surveillance system:

[0151] The UAV intelligent inspection system is based on UAVs that can be equipped with thermal infrared imaging cameras and visible light imaging cameras. It automatically detects abnormal conditions such as dust, dirt, cracks, obstructions, and heating of photovoltaic components, and reports abnormal details and precise location information. The system integrates functions such as remote automatic inspection, inspection task overview, equipment information maintenance, waypoint planning adjustment, inspection route management, and online visual analysis. Operation and maintenance personnel can select inspection tasks or task execution order in the centralized control center, start the task, and the UAV automatically takes off from the smart hangar, takes pictures, lands, changes batteries, and charges, and inspects in sequence according to the preset routes. After each inspection is completed, the UAV inspection system selects standard photos taken by the UAV, establishes a visual analysis sample library, and uses artificial intelligence and big data analysis technology to perform visual analysis on the photos uploaded during the UAV inspection process to realize the identification and diagnosis of abnormalities of equipment such as photovoltaic thermal panels. Therefore, the data transmission level of this type of data can be defined as secondary transmission data.

[0152] The intelligent maintenance system monitors the operation of photovoltaic plant components, box inverters, lines, booster stations and other equipment in real time, and provides accurate early warning and alarm information for production operators and on-site maintenance personnel. Maintenance personnel interact with supervisors in real time through smart wearable devices to confirm maintenance points. If there are unsolvable problems, the system automatically obtains support from the background expert knowledge base in real time and gives corresponding maintenance suggestions to improve operation and maintenance efficiency. The cause and measures of the failure are automatically collected into the safe production operation and maintenance resource library, forming a closed-loop management with the maintenance process. Therefore, the data transmission level of this type of data can be defined as primary transmission data.

[0153] The video surveillance system adopts a fully digital networked closed-circuit television monitoring system, and monitoring points are set up in the booster station area and the photovoltaic plant area. The key parts of the booster station include the distribution room, relay protection room, central control room, main transformer and the entrances and exits of the main roads; the key parts of the photovoltaic plant area include the box transformer, photovoltaic components, fences and the entrances and exits of the site. Compared with the traditional video surveillance system, the intelligent video surveillance system can provide all-weather reliable monitoring. Converting passive monitoring to active monitoring can fully record relevant information, fully cover the monitoring range, reduce the workload of monitoring personnel, and continuously analyze the monitored feedback through image recognition technology to achieve active coding, alarm and storage of abnormal events and suspected threats.

[0154] The link fusion system is used to obtain various types of original data from the remaining multiple subsystems, fuse the various types of original data from the remaining multiple subsystems, classify the fused data, evaluate the data transmission conditions of the communication link, and select a suitable transmission method for the fused data to transmit the data to the operation and maintenance management center of the photovoltaic power station.

[0155] Accordingly, the embodiments of the present application also provide a computer-readable storage medium, in which computer executable instructions are stored, and when the computer executable instructions are executed by the processor, the various method embodiments of the present application are implemented. Computer-readable storage media include permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be a computer-readable instruction, a data structure, a module of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable storage media does not include temporary computer-readable media (transitory media), such as modulated data signals and carriers.

[0156] In addition, an embodiment of the present application further provides a computer program product, which includes computer executable instructions, and when the computer executable instructions are executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0157] It should be noted that, in the present application, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the term "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or equipment. In the absence of more restrictions, the elements defined by the sentence "include one" do not exclude the existence of other identical elements in the process, method, article or equipment including the elements. In the present application, if it is mentioned that a certain action is performed according to a certain element, it means at least the meaning of performing the action according to the element, which includes two situations: performing the action only according to the element and performing the action according to the element and other elements. Multiple, multiple, multiple, etc. expressions include 2, 2 times, 2 kinds and more than 2, more than 2 times, more than 2 kinds.

[0158] The serial numbers used in describing the steps of the method do not themselves constitute any limitation on the order of these steps. For example, the step with a larger serial number does not necessarily have to be executed after the step with a smaller serial number. The step with a larger serial number may be executed first and then the step with a smaller serial number. They may also be executed in parallel, as long as this execution order is reasonable for those skilled in the art. For another example, multiple steps with consecutive serial numbers (e.g., step 101, step 102, step 103, etc.) do not limit other steps that can be executed in between. For example, there may be other steps between step 101 and step 102.

[0159] This specification includes combinations of the various embodiments described herein. Individual references to embodiments (e.g., "one embodiment" or "some embodiments" or "preferred embodiments"); however, these embodiments are not mutually exclusive unless indicated as mutually exclusive or it is clear to a person skilled in the art that they are mutually exclusive. It should be noted that the word "or" is used in this specification in a non-exclusive sense unless the context clearly indicates or requires otherwise.

[0160] All documents mentioned in this specification are considered to be included in the disclosure of this application as a whole, so that they can be used as a basis for modification when necessary. In addition, it should be understood that the above is only a preferred embodiment of this specification and is not intended to limit the scope of protection of this specification. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of this specification should be included in the scope of protection of one or more embodiments of this specification.

[0161] In some cases, the actions or steps described in the claims may be performed in a different order than in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A link fusion method for a photovoltaic power station, characterized in that: include: Collecting raw data of the intelligent system of the photovoltaic power station, and classifying the raw data of the intelligent system into multiple categories; assigning priorities to the plurality of categories of said data, each priority corresponding to a respective level of transmission data; All communication link conditions at the current moment are evaluated. If the transmission data level of the data to be transmitted is high, a communication link with better transmission conditions is selected to transmit the data to be transmitted to the operation and maintenance management center of the photovoltaic power station. At the same time, the data to be transmitted of other transmission data levels are automatically allocated to the corresponding communication links for data transmission according to the conditions of the remaining communication links.

2. The link fusion method for a photovoltaic power station according to claim 1, characterized in that: The dividing the raw data of the intelligent system into multiple categories comprises: Classifying the raw data of the intelligent system into video data, image data and sensor data through file feature analysis and metadata processing; The classified data is preprocessed, the video data and the picture data are analyzed through image recognition, pictures and videos with abnormal situations are identified, and the pictures and videos with abnormal situations are saved as abnormal data.

3. The link fusion method for a photovoltaic power station according to claim 2, characterized in that: The evaluating the transmission conditions of all the communication links at the current moment includes: Determine a list of target IP addresses of the wired channel to be evaluated, and set a frequency of sending data packets, wherein the data packets include a sequence number and a timestamp; Use a network tool to send the data packet to each receiving end; Capture the response returned from the target IP address, record the timestamps of sending the data packet and receiving the response to the data packet, and calculate the round-trip delay of the data based on the difference between the sending and receiving timestamps; At the same time, obtaining the transmission rate, wired signal strength and bit error rate during the signal transmission process of the communication link; The transmission condition of the wired channel is comprehensively determined according to the round-trip delay of the data, the transmission rate, the wired signal strength and the bit error rate obtained: Among them, N RTT represents the normalized index of the round-trip delay of the data, N R represents a normalized index of the transmission rate, Represents the normalized index of the wired signal strength, N BER A normalized index representing the bit error rate; Assign a corresponding weight to each normalized indicator to obtain the comprehensive performance index CPI of the wired channel C , the sum of the weights is 1: Among them, ω RTT For the N RTT The weight, ω R For the N R The weight of For the The weight, ω BER For the N BER The weight of The comprehensive performance index CPI of the wired channel C Compare with preset thresholds i1 and i2 to determine the transmission condition of the wired channel: If CPI C ≥i1, the transmission condition of the wired channel is excellent; If i2≤CPI C <i1, the transmission condition of the wired channel is good; If CPI C <i2, the transmission condition of the wired channel is medium.

4. The link fusion method for a photovoltaic power station according to claim 2, characterized in that: The evaluating the transmission conditions of all the communication links at the current moment includes: Determine a wireless channel to be evaluated, and capture a wireless signal of the wireless channel at a set frequency; Recording the strength of the captured wireless signal and the noise level of the surrounding environment; Based on the strength of the wireless signal and the noise level, the signal power of the wireless signal and the noise power of the background noise of the wireless signal are obtained, and a signal-to-noise ratio of the wireless signal is calculated, wherein the signal-to-noise ratio=signal power / noise power. Meanwhile, the wireless signal strength is also obtained; Comprehensively determine the transmission condition of the wireless channel according to the acquired signal-to-noise ratio and the wireless signal strength: Among them, N SNR represents the normalized index of the signal-to-noise ratio, A normalized index representing the wireless signal strength; Assign a corresponding weight to each normalized indicator to obtain the comprehensive performance index CPI of the wireless channel W , the sum of the weights is 1: Among them, ω SNR For the N SNR The weight of For the The weight of The comprehensive performance index CPI of the wireless channel W Compare with preset thresholds i3 and i4 to determine the transmission condition of the wireless channel: If CPI W ≥i3, the transmission condition of the wireless channel is excellent; If i3≤CPI W <i4, the transmission condition of the wireless channel is good; If CPI W <i4, the transmission condition of the wireless channel is medium.

5. The link fusion method for a photovoltaic power station according to any one of claims 3 or 4, characterized in that: Also includes: Preprocess the collected raw data to identify and correct errors, invalid values, and missing values; Paste the corresponding priority tags to the preprocessed data and configure the data transmission rules: According to the priority label of the data, the corresponding transmission data level is set, wherein the alarm data is the first-level transmission data, the abnormal data is the second-level transmission data, and the remaining data is the third-level transmission data; The first-level transmission data selects the communication link with excellent transmission condition for transmission, the second-level transmission data selects the communication link with good transmission condition for transmission, and the third-level transmission data selects the communication link with medium transmission condition for transmission; The method for screening the alarm data is as follows: pre-define an alarm character or string, check all the collected data of the photovoltaic power station intelligent system, and set the data starting with the pre-defined alarm character or string as the alarm data; The method for screening abnormal data is: pre-defining abnormal characters or character strings, checking all the collected data of the photovoltaic power station intelligent system, and setting the data with the pre-defined abnormal characters or character strings as abnormal data.

6. The link fusion method for a photovoltaic power station according to any one of claim 1, characterized in that: Also includes: Selecting a corresponding transmission mode for each data, wherein determining whether the data is important data, if the data is important data, redundantly transmitting the important data through the Beidou short message transmission mode, wherein the important data includes the alarm data of each subsystem of the intelligent system of the photovoltaic power station and the production safety data of the photovoltaic power station; If the byte length of the important data is greater than 485 bytes, a corresponding wired channel or wireless channel is selected for transmission according to the transmission conditions of the communication link for the important data greater than 485 bytes.

7. A link fusion system for a photovoltaic power station, characterized in that: include: The data classification module is used to classify the collected raw data of the photovoltaic power station intelligent system into multiple categories, including video data, sensor data and image data; A data analysis module is used to analyze and preprocess the classified data, analyze the video data and the picture data through image recognition, identify pictures and videos with abnormal conditions, save the pictures and videos with abnormal conditions as abnormal data, and attach corresponding priority labels and transmission mode labels to multiple types of data; A wired bandwidth monitoring and data forwarding module, used to obtain multiple values ​​during the wired channel signal transmission process, comprehensively determine the data transmission conditions of the wired channel, and forward the data to the corresponding wired channel according to the data transmission conditions of the wired channel; A wireless channel monitoring and data forwarding module, used to obtain multiple values ​​during the wireless channel signal transmission process, comprehensively evaluate the data transmission conditions of the wireless channel, and forward the data to the corresponding wireless channel according to the data transmission conditions of the wireless channel; The data comparison and forwarding module is used to compare the transmission mode label of the data with the data transmission condition of the communication link, and forward the data to the corresponding communication link.

8. The link fusion system for a photovoltaic power station according to claim 7, characterized in that: The data comparison and forwarding module is also configured to forward important data with a higher priority and a byte length less than 485 bytes to a Beidou short message communication link with better data transmission conditions for redundant transmission.

9. An intelligent system, characterized in that: The method comprises a link fusion system as claimed in any one of claims 7 to 8, and a plurality of other subsystems, wherein the plurality of subsystems comprise: Data monitoring and management system, used to collect real-time monitoring and control information data, production management data and operation management data from the photovoltaic power station plant; Intelligent operation and maintenance system, used for drone inspection, equipment fault troubleshooting and video monitoring of photovoltaic power stations, sends out abnormal detection signals, and transmits equipment fault warnings, visual analysis results and real-time monitoring data to the outside world; A three-dimensional visualization system for monitoring and displaying environmental parameters, power generation statistics, alarm information and equipment operating status of the photovoltaic power station; The link fusion system is used to obtain various types of original data from the remaining multiple subsystems, fuse various types of original data from the remaining multiple subsystems, classify the fused data, evaluate the data transmission conditions of the communication link, and select a suitable transmission method for the fused data to transmit the data to the operation and maintenance management center of the photovoltaic power station.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, the steps in the method according to any one of claims 1 to 6 are implemented.

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