Unattended operation and maintenance device based on hydropower station and photovoltaic power generation

Abstract

The invention relates to the technical field of power equipment operation and maintenance, and provides an unattended operation and maintenance device based on a hydropower station and photovoltaic power generation, which efficiently organizes and manages operation and maintenance data through a data recombination unit, periodically evaluates the equipment operation state by using an operation and maintenance data evaluation unit, and timely discovers potential faults. The core innovation lies in that the data missing early warning unit intelligently compares a real-time operation and maintenance evaluation result with actual equipment operation data to realize multi-dimensional data verification, and introduces an adaptive early warning threshold and an early warning information grading system to ensure that data missing or abnormal early warning is accurately and timely sent out. The invention aims to ensure the data integrity of the hydropower station and the photovoltaic power generation equipment, provide support for operation and maintenance personnel, and ensure the stable operation of the unattended operation and maintenance system based on the hydropower station and the photovoltaic power generation.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment operation and maintenance, and in particular to an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation. Background Art

[0002] The unmanned operation and maintenance automation system and remote monitoring of hydropower stations, with the help of modern information technology, automation systems and remote monitoring, can enable hydropower stations to achieve unmanned or less-manned operation and management, monitor the status of hydropower station equipment in real time, identify problems in a timely manner and take measures, thereby improving operational efficiency and stability.

[0003] Unmanned operation and maintenance of photovoltaic power generation relies on remote monitoring systems to monitor the output voltage, current, temperature and other parameters of photovoltaic modules in real time to achieve automated maintenance. Unmanned operation and maintenance of hydropower stations and photovoltaic power generation mainly relies on advanced technologies such as automation, remote monitoring, and data analysis to achieve efficient and safe operation and management.

[0004] There are many photovoltaic power generation equipment, and they are widely distributed. Some current monitoring systems may not be able to fully cover all equipment, resulting in the inability to monitor the operating status of some equipment in real time. Although the fault prediction and diagnosis technology of photovoltaic equipment is constantly developing, there are still false alarms and missed alarms due to the large amount of data generated by photovoltaic equipment and hydropower station equipment in real time, resulting in the inability of hydropower station and photovoltaic power generation operation and maintenance personnel to detect and handle faults in a timely and accurate manner. Summary of the invention

[0005] The purpose of the present invention is to provide an unmanned operation and maintenance device based on hydropower stations and photovoltaic power generation, so as to solve the problem that photovoltaic equipment and hydropower station equipment generate a large amount of data in real time but still have false alarms and missed alarms, resulting in the operation and maintenance personnel of hydropower stations and photovoltaic power generation being unable to discover and handle faults in a timely and accurate manner.

[0006] The present invention provides an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, comprising:

[0007] An acquisition unit, which acquires the operation data of the hydropower station equipment and the operation data of the photovoltaic power generation equipment, wherein the operation data of the hydropower station equipment includes water level data, flow data, operation status of the hydropower station unit, voltage and current data of the hydropower station, power output data of the hydropower station and fault data of the hydropower station, and the photovoltaic power generation equipment includes light intensity, photovoltaic panel temperature, voltage and current data of the photovoltaic power generation equipment, power output data of the photovoltaic power generation equipment, inverter status, and fault data of the photovoltaic power generation equipment;

[0008] A data storage unit is used to establish a hydropower station and photovoltaic power generation operation and maintenance data storage library, wherein the hydropower station and photovoltaic power generation operation and maintenance data storage library includes a hydropower station operation and maintenance data storage database and a photovoltaic power generation operation and maintenance data storage database, and data storage groups are established in the hydropower station operation and maintenance data storage database and the photovoltaic power generation operation and maintenance data storage database, and a data storage group label is established for each group of data;

[0009] A data reorganization unit, based on the data storage grouping label, establishes an input data storage group, an output data storage group, and a historical storage data group corresponding to the data storage grouping label;

[0010] The operation and maintenance data evaluation unit retrieves the historical storage data group and the input data storage group in each data storage grouping label according to a preset time frequency period, compares the historical storage data group with the input data storage group, and if the data of the historical storage data group is consistent with the data of the input data storage group, substitutes the real-time hydropower station equipment operation data and photovoltaic power generation equipment operation data stored in each data storage grouping label into the preset operation and maintenance evaluation model for data processing and analysis to obtain real-time operation and maintenance evaluation results;

[0011] The data missing warning unit stores the operation evaluation data of the hydropower station equipment and the photovoltaic power generation equipment in the real-time operation and maintenance evaluation results in the evaluation result review data group, and retrieves the operation data of the hydropower station equipment and the photovoltaic power generation equipment after the preset time of the operation and maintenance evaluation time information according to the real-time operation and maintenance evaluation results, to obtain the actual equipment operation data, and compares the actual equipment operation data with the real-time operation and maintenance evaluation results. If the comparison result error exceeds the preset value, an unmanned hydropower station and photovoltaic power generation operation and maintenance data missing warning information is generated.

[0012] Furthermore, the present invention provides an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, and an acquisition unit, comprising:

[0013] Establish corresponding equipment serial numbers for hydropower station equipment and photovoltaic power generation equipment, group the equipment serial numbers according to the areas where the equipment is located, and obtain equipment grouping information;

[0014] Detect the communication connection status between the hydropower station equipment and the photovoltaic power generation equipment and the acquisition unit in the equipment group information. If the communication connection status is disconnected, continue to monitor other equipment group information, summarize the equipment information with disconnected communication connection status obtained during the detection process, and extract the location information of the disconnected equipment;

[0015] Receive the location information of the operation and maintenance personnel, substitute the location information of the operation and maintenance personnel and the location information of the disconnected equipment into the preset inspection path optimization model, and obtain the inspection and maintenance optimization route of the operation and maintenance personnel;

[0016] Count the real-time number of hydropower station equipment and photovoltaic power generation equipment in the acquisition unit. If the real-time number of hydropower station equipment and photovoltaic power generation equipment in the acquisition unit is greater than or less than the data of hydropower station equipment and photovoltaic power generation equipment in the acquisition unit in the previous period, update the connection list of hydropower station equipment and photovoltaic power generation equipment in the acquisition unit.

[0017] According to the updated connection list, the communication status between the acquisition unit and the hydropower station equipment and the photovoltaic power generation equipment in the updated connection list is detected in sequence.

[0018] Furthermore, the present invention provides an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, and a data storage unit, comprising:

[0019] When establishing a hydropower station and photovoltaic power generation operation and maintenance data repository, a cloud data storage space that is mapped to the hydropower station and photovoltaic power generation operation and maintenance data repository is simultaneously established on the cloud platform;

[0020] The data in the cloud data storage space is grouped and stored according to the data generation time to obtain cloud data storage grouping information, the data in the cloud data storage space is synchronously stored in the blockchain, and a hash value corresponding to the cloud data storage space data is generated;

[0021] The data information stored in the cloud data storage group is randomly retrieved according to a preset time period, and the corresponding hash value of the retrieved data information is tested. If the detection of the corresponding hash value of the retrieved data information fails, a data integrity detection error warning information is generated.

[0022] Furthermore, the present invention provides an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, wherein a data reorganization unit establishes an input data storage group, an output data storage group and a historical storage data group corresponding to the data storage group label according to the data storage group label, including:

[0023] Each data storage group label corresponds to the establishment of an input data storage group, an output data storage group and a historical storage data group. The input data storage group is used to store the data received in real time in the data storage group, the output data storage group is used to store the data retrieved in real time in the data storage group, and the historical storage data group is used to store the data usage record information in the data storage group.

[0024] Furthermore, the present invention provides an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, and an operation and maintenance data evaluation unit, comprising:

[0025] Set a preset time frequency cycle and establish a preset time frequency cycle information library, wherein the preset time frequency cycle information library includes a time frequency per minute, a time frequency of 1 hour, and a time frequency of 2 hours;

[0026] Establish a preset time frequency periodic retrieval rule, the time frequency of the first retrieval is different from the time frequency of the second retrieval, and the time frequency of the third retrieval is different from the time frequency of the first retrieval, and three consecutive data retrievals are regarded as a data retrieval cycle;

[0027] Extract data features from the historical storage data group and the input data storage group to obtain data features of the historical storage data group and data features in the input data storage group, compare the data features of the historical storage data group with the data features in the input data storage group, if the data of the historical storage data group is inconsistent with the data of the input data storage group;

[0028] The historical storage data group and the input data storage group data are retrieved and the corresponding data on the cloud platform are tested for data integrity. If the test result shows that the corresponding data on the cloud platform is inconsistent with the historical storage data group and the input data storage group data, a warning message of data tampering and data loss is generated.

[0029] Furthermore, the present invention provides an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, further comprising an operation and maintenance fault analysis unit;

[0030] Extract data features from data tampering and data loss warning information to obtain the data source information of the tampered information and the generation time information of the lost data;

[0031] According to the generation time information of the lost data, a lost data time period is established, wherein the lost data time period includes 24 hours before and 24 hours after the generation time information of the lost data;

[0032] Retrieve the data corresponding to the cloud data storage space and the time period of data loss, obtain the cloud backup data of the time period of data loss, substitute the cloud backup data of the time period of data loss into the operation and maintenance evaluation model for data processing and analysis, and obtain the backup data operation and maintenance evaluation result;

[0033] The backup data operation and maintenance assessment results are compared with the real-time operation and maintenance assessment results of the corresponding time period. If the data comparison results are inconsistent, the operation data of the hydropower station equipment and the photovoltaic power generation equipment during the time period of lost data are reviewed. The review method is to retrieve the data corresponding to the cloud data storage space for a one-to-one comparison. If the comparison result is found to be wrong, the equipment information corresponding to the data is retrieved to obtain the operation and maintenance fault equipment information.

[0034] The beneficial effects of the present invention are as follows:

[0035] Improve operation and maintenance efficiency and accuracy: By automatically acquiring, storing, reorganizing and evaluating the operating data of hydropower stations and photovoltaic power generation equipment, the present invention can accurately detect abnormal conditions of equipment in real time and handle them in a timely manner, greatly improving the efficiency and accuracy of operation and maintenance.

[0036] Reduce labor costs: The present invention realizes unmanned operation and maintenance, reduces the frequency of manual inspections, and thus reduces labor costs. At the same time, through intelligent data processing and analysis, it can locate the fault point more accurately, reducing the time and labor costs of troubleshooting.

[0037] Enhanced data security: By establishing a cloud platform and blockchain technology to store and verify data, the present invention ensures the integrity and security of data. Any tampering with data can be detected in time and an early warning can be issued, effectively preventing the risk of malicious modification or loss of data.

[0038] Optimize the operation and maintenance process: By retrieving data at a preset time frequency period, establishing data storage groups and labels, and using an operation and maintenance evaluation model for data processing and analysis, the present invention optimizes the operation and maintenance process, making the operation and maintenance work more systematic, standardized, and efficient.

[0039] Improve fault warning and processing capabilities: The data loss warning unit and operation and maintenance fault analysis unit of the present invention can issue warning information in a timely manner and accurately locate faulty equipment, thereby improving the fault warning and processing capabilities. This helps reduce the impact of equipment failures on the operation of hydropower stations and photovoltaic power stations, and ensures the stable operation of the power system.

[0040] In summary, the present invention realizes unmanned operation and maintenance of hydropower stations and photovoltaic power generation equipment through intelligent data processing and analysis technology, improves operation and maintenance efficiency, reduces labor costs, enhances data security, optimizes operation and maintenance processes, and improves fault warning and processing capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0042] Figure 1 A schematic diagram of a device architecture provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0044] See also Figure 1 , the present invention provides an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, comprising;

[0045] An acquisition unit, which acquires the operation data of the hydropower station equipment and the operation data of the photovoltaic power generation equipment, wherein the operation data of the hydropower station equipment includes water level data, flow data, operation status of the hydropower station unit, voltage and current data of the hydropower station, power output data of the hydropower station and fault data of the hydropower station, and the photovoltaic power generation equipment includes light intensity, photovoltaic panel temperature, voltage and current data of the photovoltaic power generation equipment, power output data of the photovoltaic power generation equipment, inverter status, and fault data of the photovoltaic power generation equipment;

[0046] The acquisition unit is not only responsible for collecting real-time operation data of hydropower station equipment and photovoltaic power generation equipment, but also has the following enhanced functions and features to adapt to a wider range of application scenarios and solve more technical problems:

[0047] In addition to obtaining data directly from sensors of hydropower stations and photovoltaic power generation equipment, it can also connect with third-party data sources (such as meteorological stations, environmental monitoring stations, etc.) to obtain relevant environmental data that affects the efficiency of hydropower stations and photovoltaic power generation, such as wind speed, temperature, humidity, etc., to provide more comprehensive data support for subsequent operation and maintenance evaluations.

[0048] After acquiring the raw data, the acquisition unit also has pre-processing functions such as data cleaning, denoising, and normalization to ensure the accuracy and consistency of the data and improve the reliability of subsequent data analysis.

[0049] Introduce a data verification mechanism to conduct real-time verification of collected data, identify and eliminate outliers or erroneous data, and ensure the authenticity and validity of the data.

[0050] For different types of hydropower station equipment and photovoltaic power generation equipment, the acquisition unit can dynamically adapt to different data interfaces and protocols to ensure smooth data access.

[0051] Ensure real-time acquisition and transmission of data, and establish a historical data storage mechanism to facilitate subsequent analysis and comparison of historical data to provide support for long-term operation and maintenance of equipment.

[0052] Encryption technology is used during data transmission to ensure data security and prevent data leakage or tampering.

[0053] Based on the acquired data and the preset fault identification algorithm, the acquisition unit can make a preliminary judgment on whether there is any abnormality in the equipment and issue an early warning when a potential fault is detected so that the operation and maintenance personnel can intervene in time.

[0054] Supports remote configuration and update functions, allowing operation and maintenance personnel to adjust data acquisition strategies or update the software version of the acquisition unit as needed to adapt to changing operation and maintenance needs.

[0055] The acquisition unit can not only comprehensively and accurately collect the operating data of hydropower stations and photovoltaic power generation equipment, but also provide strong data support for subsequent operation and maintenance evaluation, fault warning, etc.

[0056] A data storage unit is used to establish a hydropower station and photovoltaic power generation operation and maintenance data storage library, wherein the hydropower station and photovoltaic power generation operation and maintenance data storage library includes a hydropower station operation and maintenance data storage database and a photovoltaic power generation operation and maintenance data storage database, and data storage groups are established in the hydropower station operation and maintenance data storage database and the photovoltaic power generation operation and maintenance data storage database, and a data storage group label is established for each group of data;

[0057] The data reorganization unit is responsible for effectively organizing and managing the operation data of hydropower station equipment and photovoltaic power generation equipment according to the data storage grouping labels. In order to better adapt to application scenarios and solve technical problems, the data reorganization unit has the following functions:

[0058] Dynamic group management: The data reorganization unit can dynamically create, modify or delete data storage groups according to actual needs to adapt to scenarios such as device addition and reduction, data type changes, etc. Group labels are not limited to preset labels, but also support custom labels for more flexible data management.

[0059] Intelligent Data Classification: Using machine learning algorithms, the data reorganization unit is able to automatically classify the collected data and place it into corresponding storage groups, reducing the need for human intervention.

[0060] Data correlation analysis: The data reorganization unit can analyze the correlation between different data, such as the correlation between water level data and power output data of a hydropower station, thereby optimizing the data storage structure and improving the efficiency of data query and analysis.

[0061] Data compression and deduplication: In order to save storage space and improve processing efficiency, the data reorganization unit has data compression and deduplication functions, automatically identifying and deleting duplicate or redundant data.

[0062] Real-time data stream processing: For data streams collected in real time, the data reassembly unit can perform real-time processing to ensure the timeliness and accuracy of the data.

[0063] Abnormal data identification and isolation: The data reorganization unit can identify abnormal data and isolate it to a specific storage area for subsequent abnormal analysis while ensuring the purity of normal data.

[0064] Cross-platform compatibility: The data reorganization unit is compatible with different operating systems and data storage platforms to ensure smooth flow and sharing of data.

[0065] Through the above expansion and improvement, the data reorganization unit can more efficiently organize and manage the operation data of hydropower station equipment and photovoltaic power generation equipment, and provide strong data support for subsequent operation and maintenance evaluation, fault warning, etc.

[0066] A data reorganization unit, based on the data storage grouping label, establishes an input data storage group, an output data storage group, and a historical storage data group corresponding to the data storage grouping label;

[0067] The data reorganization unit can dynamically establish, adjust or merge input data storage groups, output data storage groups and historical storage data groups according to data storage group labels to meet the storage requirements of different devices and data types. The design of these storage groups not only takes into account the real-time nature of data, but also takes into account the long-term preservation and analysis requirements of historical data.

[0068] In order to improve the efficiency of data retrieval and analysis, the data reorganization unit has established an efficient data indexing mechanism for each storage group. This indexing mechanism can quickly locate data of a specific time, device or data type, thereby accelerating the data processing process.

[0069] During the data reorganization process, the data reorganization unit will perform version control on the data to ensure that the data change history is traceable. This is crucial for subsequent data analysis, troubleshooting, and system recovery.

[0070] The data reorganization unit also integrates data quality assessment functions, which can automatically detect and clean up invalid, duplicate or abnormal data records to ensure the accuracy and reliability of stored data.

[0071] Considering the security and availability of data, the data reorganization unit supports cross-device and cross-platform data synchronization. At the same time, it will regularly back up key data to prevent data loss or damage.

[0072] The data reorganization unit provides a rich set of API interfaces for integration with other systems or modules. These interfaces support standard data exchange formats such as JSON, XML, etc., ensuring the scalability and compatibility of the system.

[0073] The operation and maintenance data evaluation unit retrieves the historical storage data group and the input data storage group in each data storage grouping label according to a preset time frequency period, compares the historical storage data group with the input data storage group, and if the data of the historical storage data group is consistent with the data of the input data storage group, substitutes the real-time hydropower station equipment operation data and photovoltaic power generation equipment operation data stored in each data storage grouping label into the preset operation and maintenance evaluation model for data processing and analysis to obtain real-time operation and maintenance evaluation results;

[0074] In the present invention, the operation and maintenance data evaluation unit is responsible for periodically evaluating and monitoring the operating status of the hydropower station and photovoltaic power generation equipment. The operation and maintenance data evaluation unit is no longer limited to a fixed preset time frequency for data evaluation. It can dynamically adjust the evaluation cycle according to the equipment status, historical failure mode or external conditions (such as weather, seasonal changes). For example, in bad weather or peak equipment load periods, the evaluation frequency can be automatically increased to ensure more timely fault warning and response.

[0075] In addition to simple data consistency comparison, the operation and maintenance data evaluation unit now also supports more complex data analysis technologies, such as trend analysis, pattern recognition, etc. These technologies can dig deeper into potential problems in the data and improve the accuracy of early warnings.

[0076] Combining machine learning and artificial intelligence technologies, the operation and maintenance data evaluation unit is able to learn and identify early signs of abnormal data patterns, thereby providing early warnings before failures occur. This intelligent early warning system not only reduces the need for manual monitoring, but also greatly improves the efficiency of fault prevention.

[0077] Traditional fixed thresholds may not be able to adapt to all operating conditions. Therefore, the operation and maintenance data evaluation unit now supports adaptive threshold settings, which can be dynamically adjusted according to the real-time operating status and historical data of the equipment, thereby improving the sensitivity and accuracy of the evaluation.

[0078] To obtain a more comprehensive O&M assessment, the unit is now able to fuse data from different systems such as SCADA, CMS, etc. This cross-system data fusion provides a broader perspective and helps to identify issues that may be overlooked by a single system.

[0079] Fault simulation and emergency plan formulation: Using historical data and real-time data, the operation and maintenance data evaluation unit can simulate the operating status of equipment under different conditions to help the operation and maintenance team formulate more effective emergency plans.

[0080] Security and Privacy Protection: When evaluating and processing data, the unit strictly adheres to the standards of data security and privacy protection to ensure that all sensitive information is properly protected.

[0081] The data missing warning unit stores the operation evaluation data of the hydropower station equipment and the photovoltaic power generation equipment in the real-time operation and maintenance evaluation results in the evaluation result review data group, and retrieves the operation data of the hydropower station equipment and the photovoltaic power generation equipment after the preset time of the operation and maintenance evaluation time information according to the real-time operation and maintenance evaluation results, to obtain the actual equipment operation data, and compares the actual equipment operation data with the real-time operation and maintenance evaluation results. If the comparison result error exceeds the preset value, an unmanned hydropower station and photovoltaic power generation operation and maintenance data missing warning information is generated.

[0082] In the present invention, the data missing warning unit is a key link in ensuring the integrity and accuracy of the operation and maintenance data of the hydropower station and photovoltaic power generation equipment.

[0083] The missing data warning unit not only performs simple data comparison, but also introduces a smarter comparison algorithm that can identify abnormal patterns in the data, such as sudden data jumps or long periods of stability and no changes, so as to more accurately detect possible data missing or errors.

[0084] In addition to comparing real-time O&M assessment results with actual equipment operation data, the unit also combines historical data, equipment status, and other relevant parameters for multi-dimensional verification, improving the accuracy and reliability of data missing warnings.

[0085] According to the error size and possible impact of the data comparison results, the data missing warning unit can generate different levels of warning information. For example, a minor error may trigger a low-level warning, while a major error or continuous data anomalies may trigger a high-level warning.

[0086] The warning threshold is no longer fixed, but can be dynamically adjusted according to the operating status of the equipment, historical data, and external environmental factors. This adaptive threshold can better adapt to data fluctuations in different situations and reduce the possibility of false alarms and missed alarms.

[0087] The early warning information not only includes simple prompts of data missing or abnormalities, but also provides detailed comparison reports, possible cause analysis and recommended solutions. This information helps operation and maintenance personnel locate and solve problems more quickly.

[0088] The data missing warning unit can work in collaboration with other operation and maintenance management systems, fault diagnosis systems, etc. When data missing or abnormalities are detected, it can automatically trigger further inspection and diagnosis processes of related systems.

[0089] With the help of machine learning and artificial intelligence technology, the data missing warning unit can continuously learn and optimize its warning mechanism. By continuously analyzing historical data and warning records, it can improve the accuracy of warnings and reduce false alarm rates.

[0090] The data missing warning unit is equipped with a user-friendly interface and notification system to ensure that operation and maintenance personnel can receive warning information clearly and promptly and take corresponding measures.

[0091] The data missing warning unit can not only detect the missing or abnormal operation and maintenance data of hydropower stations and photovoltaic power generation equipment more accurately, but also provide more detailed and useful warning information, thereby helping operation and maintenance personnel to solve problems more efficiently and ensure the stable operation of the entire system.

[0092] Specifically, the present invention provides an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, and an acquisition unit, comprising:

[0093] Establish corresponding equipment serial numbers for hydropower station equipment and photovoltaic power generation equipment, group the equipment serial numbers according to the areas where the equipment is located, and obtain equipment grouping information;

[0094] Detect the communication connection status between the hydropower station equipment and the photovoltaic power generation equipment and the acquisition unit in the equipment group information. If the communication connection status is disconnected, continue to monitor other equipment group information, summarize the equipment information with disconnected communication connection status obtained during the detection process, and extract the location information of the disconnected equipment;

[0095] Receive the location information of the operation and maintenance personnel, substitute the location information of the operation and maintenance personnel and the location information of the disconnected equipment into the preset inspection path optimization model, and obtain the inspection and maintenance optimization route of the operation and maintenance personnel;

[0096] The real-time number of hydropower station equipment and photovoltaic power generation equipment in the acquisition unit is counted. If the real-time number of hydropower station equipment and photovoltaic power generation equipment in the acquisition unit is greater or less than the data of hydropower station equipment and photovoltaic power generation equipment in the acquisition unit in the previous period, the connection list of hydropower station equipment and photovoltaic power generation equipment in the acquisition unit is updated. The previous period can be 1 hour ago or 2 hours ago, which can be set according to actual needs.

[0097] According to the updated connection list, the communication status between the acquisition unit and the hydropower station equipment and the photovoltaic power generation equipment in the updated connection list is detected in sequence.

[0098] Specifically, the present invention provides an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, and a data storage unit, comprising:

[0099] When establishing a hydropower station and photovoltaic power generation operation and maintenance data repository, a cloud data storage space that is mapped to the hydropower station and photovoltaic power generation operation and maintenance data repository is simultaneously established on the cloud platform;

[0100] The data in the cloud data storage space is grouped and stored according to the data generation time to obtain cloud data storage grouping information, the data in the cloud data storage space is synchronously stored in the blockchain, and a hash value corresponding to the cloud data storage space data is generated;

[0101] The data information stored in the cloud data storage group is randomly retrieved according to a preset time period, and the corresponding hash value of the retrieved data information is tested. If the detection of the corresponding hash value of the retrieved data information fails, a data integrity detection error warning information is generated.

[0102] Specifically, the present invention provides an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, wherein a data reorganization unit establishes an input data storage group, an output data storage group and a historical storage data group corresponding to the data storage group label according to the data storage group label, including:

[0103] Each data storage group label corresponds to the establishment of an input data storage group, an output data storage group and a historical storage data group. The input data storage group is used to store the data received in real time in the data storage group, the output data storage group is used to store the data retrieved in real time in the data storage group, and the historical storage data group is used to store the data usage record information in the data storage group.

[0104] Specifically, the present invention provides an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, and an operation and maintenance data evaluation unit, comprising:

[0105] Set a preset time frequency cycle and establish a preset time frequency cycle information library, wherein the preset time frequency cycle information library includes a time frequency per minute, a time frequency of 1 hour, and a time frequency of 2 hours;

[0106] Establish a preset time frequency periodic retrieval rule, the time frequency of the first retrieval is different from the time frequency of the second retrieval, the time frequency of the third retrieval is different from the time frequency of the first retrieval, and three consecutive data retrievals are regarded as a data retrieval cycle;

[0107] Extract data features from the historical storage data group and the input data storage group to obtain data features of the historical storage data group and data features in the input data storage group, compare the data features of the historical storage data group with the data features in the input data storage group, if the data of the historical storage data group is inconsistent with the data of the input data storage group;

[0108] The historical storage data group and the input data storage group data are retrieved and the corresponding data on the cloud platform are tested for data integrity. If the test result shows that the corresponding data on the cloud platform is inconsistent with the historical storage data group and the input data storage group data, a warning message of data tampering and data loss is generated.

[0109] Specifically, the present invention provides an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, further comprising an operation and maintenance fault analysis unit;

[0110] Extract data features from data tampering and data loss warning information to obtain the data source information of the tampered information and the generation time information of the lost data;

[0111] According to the generation time information of the lost data, a lost data time period is established, wherein the lost data time period includes 24 hours before and 24 hours after the generation time information of the lost data;

[0112] Retrieving the data corresponding to the cloud data storage space and the time period of data loss, obtaining the cloud backup data of the time period of data loss, substituting the cloud backup data of the time period of data loss into the operation and maintenance evaluation model for data processing and analysis, and obtaining the backup data operation and maintenance evaluation result;

[0113] The backup data operation and maintenance assessment results are compared with the real-time operation and maintenance assessment results of the corresponding time period. If the data comparison results are inconsistent, the operation data of the hydropower station equipment and the photovoltaic power generation equipment during the time period of lost data are reviewed. The review method is to retrieve the data corresponding to the cloud data storage space for a one-to-one comparison. If the comparison result is found to be wrong, the equipment information corresponding to the data is retrieved to obtain the operation and maintenance fault equipment information.

[0114] The present invention is an unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, and its use method is as follows: the present invention obtains the operating data of the hydropower station and photovoltaic power generation equipment through the unmanned operation and maintenance device based on the hydropower station and photovoltaic power generation, analyzes the data, and sends the early warning information to the mobile terminal of the operation and maintenance personnel and the fixed terminal of the operation and maintenance personnel. When the unmanned operation and maintenance device based on the hydropower station and photovoltaic power generation processes and analyzes the data, the data is synchronously stored in real time to the cloud platform. The cloud platform provides data storage and data call services for the unmanned operation and maintenance device based on the hydropower station and photovoltaic power generation

[0115] First, the hydropower station equipment and the photovoltaic power generation equipment are connected to the acquisition unit of the present invention to ensure smooth communication between the equipment.

[0116] A hydropower station and photovoltaic power generation operation and maintenance data repository is established in the data storage unit, and corresponding data storage groups and labels are set to facilitate the classified storage and management of data.

[0117] The acquisition unit will automatically collect the operating data of the hydropower station equipment and photovoltaic power generation equipment, such as water level, flow, unit status, voltage, current, power output and fault information.

[0118] The data will be transmitted to the data storage unit and classified and stored according to the preset data storage groups and tags. At the same time, the data will also be backed up in the cloud platform and blockchain to ensure the security and integrity of the data.

[0119] The data reorganization unit will store the real-time received data into the input data storage group, the retrieved data into the output data storage group, and record the data usage history into the historical storage data group according to the data storage group label.

[0120] The operation and maintenance data evaluation unit will regularly retrieve the data in the historical storage data group and the input data storage group for comparative analysis. If the data is consistent, the real-time data will be substituted into the operation and maintenance evaluation model for processing and analysis to obtain the real-time operation and maintenance evaluation results.

[0121] The data missing warning unit will monitor the consistency between the real-time operation and maintenance evaluation results and the actual equipment operation data. If the data error exceeds the preset value, the system will generate a data missing warning message.

[0122] The operation and maintenance fault analysis unit will further analyze the warning information of data tampering or loss, locate the faulty equipment by retrieving the cloud backup data, and issue a fault warning.

[0123] After receiving the warning information, the operation and maintenance personnel can quickly locate the equipment or data links that may have problems based on the specific content of the warning information.

[0124] By comparing cloud backup data and real-time data, operation and maintenance personnel can further confirm the fault point and carry out corresponding repairs or replacements.

[0125] After handling the fault, the system can continue to monitor the operating status of the equipment to ensure the stable operation of the hydropower station and photovoltaic power station.

[0126] Through the above steps, the present invention can realize unmanned operation and maintenance management of hydropower stations and photovoltaic power stations, improve operation and maintenance efficiency, reduce labor costs, and ensure the stable operation of the power system.

[0127] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution in the embodiments of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a disk, an optical disk, etc., and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the devices described in each embodiment of the present invention or some parts of the embodiments.

[0128] The above-described embodiments of the present invention do not limit the protection scope of the present invention.

Claims

1. An unmanned operation and maintenance device based on a hydropower station and photovoltaic power generation, characterized in that: include; An acquisition unit, which acquires the operation data of the hydropower station equipment and the operation data of the photovoltaic power generation equipment, wherein the operation data of the hydropower station equipment includes water level data, flow data, operation status of the hydropower station unit, voltage and current data of the hydropower station, power output data of the hydropower station and fault data of the hydropower station, and the photovoltaic power generation equipment includes light intensity, photovoltaic panel temperature, voltage and current data of the photovoltaic power generation equipment, power output data of the photovoltaic power generation equipment, inverter status, and fault data of the photovoltaic power generation equipment; A data storage unit is used to establish a hydropower station and photovoltaic power generation operation and maintenance data storage library, wherein the hydropower station and photovoltaic power generation operation and maintenance data storage library includes a hydropower station operation and maintenance data storage database and a photovoltaic power generation operation and maintenance data storage database, and data storage groups are established in the hydropower station operation and maintenance data storage database and the photovoltaic power generation operation and maintenance data storage database, and a data storage group label is established for each group of data; A data reorganization unit, based on the data storage grouping label, establishes an input data storage group, an output data storage group, and a historical storage data group corresponding to the data storage grouping label; The operation and maintenance data evaluation unit retrieves the historical storage data group and the input data storage group in each data storage grouping label according to a preset time frequency period, compares the historical storage data group with the input data storage group, and if the data of the historical storage data group is consistent with the data of the input data storage group, substitutes the real-time hydropower station equipment operation data and photovoltaic power generation equipment operation data stored in each data storage grouping label into the preset operation and maintenance evaluation model for data processing and analysis to obtain real-time operation and maintenance evaluation results; The data missing warning unit stores the operation evaluation data of the hydropower station equipment and the photovoltaic power generation equipment in the real-time operation and maintenance evaluation results in the evaluation result review data group, and retrieves the operation data of the hydropower station equipment and the photovoltaic power generation equipment after the preset time of the operation and maintenance evaluation time information according to the real-time operation and maintenance evaluation results, to obtain the actual equipment operation data, and compares the actual equipment operation data with the real-time operation and maintenance evaluation results. If the comparison result error exceeds the preset value, an unmanned hydropower station and photovoltaic power generation operation and maintenance data missing warning information is generated.

2. The device according to claim 1, characterized in that Acquisition units, including; Establish corresponding equipment serial numbers for hydropower station equipment and photovoltaic power generation equipment, group the equipment serial numbers according to the areas where the equipment is located, and obtain equipment grouping information; Detect the communication connection status between the hydropower station equipment and the photovoltaic power generation equipment and the acquisition unit in the equipment group information. If the communication connection status is disconnected, continue to monitor other equipment group information, summarize the equipment information with disconnected communication connection status obtained during the detection process, and extract the location information of the disconnected equipment; Receive the location information of the operation and maintenance personnel, substitute the location information of the operation and maintenance personnel and the location information of the disconnected equipment into the preset inspection path optimization model, and obtain the inspection and maintenance optimization route of the operation and maintenance personnel; Count the real-time number of hydropower station equipment and photovoltaic power generation equipment in the acquisition unit. If the real-time number of hydropower station equipment and photovoltaic power generation equipment in the acquisition unit is greater than or less than the data of hydropower station equipment and photovoltaic power generation equipment in the acquisition unit in the previous period, update the connection list of hydropower station equipment and photovoltaic power generation equipment in the acquisition unit. According to the updated connection list, the communication status between the acquisition unit and the hydropower station equipment and the photovoltaic power generation equipment in the updated connection list is detected in sequence.

3. The device according to claim 1, characterized in that A data storage unit, comprising: When establishing a hydropower station and photovoltaic power generation operation and maintenance data repository, a cloud data storage space that is mapped to the hydropower station and photovoltaic power generation operation and maintenance data repository is simultaneously established on the cloud platform; The data in the cloud data storage space is grouped and stored according to the data generation time to obtain cloud data storage grouping information, the data in the cloud data storage space is synchronously stored in the blockchain, and a hash value corresponding to the cloud data storage space data is generated; The data information stored in the cloud data storage group is randomly retrieved according to a preset time period, and the corresponding hash value of the retrieved data information is tested. If the detection of the corresponding hash value of the retrieved data information fails, a data integrity detection error warning information is generated.

4. The device according to claim 1, characterized in that A data reorganization unit, which establishes an input data storage group, an output data storage group, and a historical storage data group corresponding to the data storage group label according to the data storage group label, including: Each data storage group label corresponds to the establishment of an input data storage group, an output data storage group and a historical storage data group. The input data storage group is used to store the data received in real time in the data storage group, the output data storage group is used to store the data retrieved in real time in the data storage group, and the historical storage data group is used to store the data usage record information in the data storage group.

5. The device according to claim 3, characterized in that Operation and maintenance data evaluation unit, including; Set a preset time frequency cycle and establish a preset time frequency cycle information library, wherein the preset time frequency cycle information library includes a time frequency per minute, a time frequency of 1 hour, and a time frequency of 2 hours; Establish a preset time frequency periodic retrieval rule, the time frequency of the first retrieval is different from the time frequency of the second retrieval, the time frequency of the third retrieval is different from the time frequency of the first retrieval, and three consecutive data retrievals are regarded as a data retrieval cycle; Extract data features from the historical storage data group and the input data storage group to obtain data features of the historical storage data group and data features in the input data storage group, compare the data features of the historical storage data group with the data features in the input data storage group, if the data of the historical storage data group is inconsistent with the data of the input data storage group; The historical storage data group and the input data storage group data are retrieved and the corresponding data on the cloud platform are tested for data integrity. If the test result shows that the corresponding data on the cloud platform is inconsistent with the historical storage data group and the input data storage group data, a warning message of data tampering and data loss is generated.

6. The device according to claim 5, characterized in that It also includes, an operation and maintenance fault analysis unit; Extract data features from data tampering and data loss warning information to obtain the data source information of the tampered information and the generation time information of the lost data; According to the generation time information of the lost data, a lost data time period is established, wherein the lost data time period includes 24 hours before and 24 hours after the generation time information of the lost data; Retrieving the data corresponding to the cloud data storage space and the time period of data loss, obtaining the cloud backup data of the time period of data loss, substituting the cloud backup data of the time period of data loss into the operation and maintenance evaluation model for data processing and analysis, and obtaining the backup data operation and maintenance evaluation result; The backup data operation and maintenance assessment results are compared with the real-time operation and maintenance assessment results of the corresponding time period. If the data comparison results are inconsistent, the operation data of the hydropower station equipment and the photovoltaic power generation equipment during the time period of lost data are reviewed. The review method is to retrieve the data corresponding to the cloud data storage space for a one-to-one comparison. If the comparison result is found to be wrong, the equipment information corresponding to the data is retrieved to obtain the operation and maintenance fault equipment information.

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