Hydrometeorological data management system, method and device for offshore photovoltaic project

Abstract

The invention relates to a hydro meteorological data management system, method and device for an offshore photovoltaic project, and relates to the technical field of computers, and the system comprises a data collection module which is used for collecting hydro meteorological real-time data in an offshore photovoltaic field in real time; the data quality detection module is used for carrying out abnormal data detection processing on the hydrometeorological real-time data based on the key features of the hydrometeorological real-time data to obtain hydrometeorological abnormal data, and the hydrometeorological abnormal data is used for sending abnormal prompt information to specific personnel; the data storage module is used for carrying out classified storage on the hydrometeorological real-time data according to a pre-configured data storage dimension, adding a quality mark and adding a corresponding abnormal mark to the hydrometeorological abnormal data; and generating and storing a hydro meteorological log record based on the quality mark and the abnormal mark. According to the invention, a hydro-meteorological data processing scheme can be provided, and hydro-meteorological abnormal data can be detected and reported in real time.

Description

Background Art

[0002] In recent years, as the world's attention to renewable energy continues to increase, offshore photovoltaics, as a new type of renewable energy, has gradually become the focus of attention. This technology uses the vast space of the ocean to install photovoltaic panels to collect solar energy and convert it into electricity.

[0003] Hydrometeorological data is an important means of effectively obtaining marine meteorological data, and is also a strong support for improving the quality of meteorological forecast services in key marine areas. Hydrometeorological data monitoring uses the most convenient operation method, the most comprehensive management platform, and the most timely response speed to obtain a full range of marine meteorological information and provide efficient and accurate meteorological services for enterprises and maritime management departments.

[0004] Offshore photovoltaic construction projects and subsequent electricity production, due to their unique site configuration, are highly dependent on hydrological and meteorological data. In this case, how to accurately obtain hydrological and meteorological information is particularly important.

[0005] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0006] The purpose of the present disclosure is to provide a hydrological and meteorological data management system for offshore photovoltaic projects, a hydrological and meteorological data management method for offshore photovoltaic projects, a hydrological and meteorological data management device for offshore photovoltaic projects, an electronic device, a computer-readable storage medium and a computer program product, thereby at least to a certain extent overcoming the problem that an effective hydrological and meteorological data management system has not yet been established for offshore photovoltaic scenarios and that the data quality of the hydrological and meteorological data cannot be controlled and managed.

[0007] Other features and advantages of the present disclosure will become apparent from the following detailed description, or may be learned in part by the practice of the present invention.

[0008] According to a first aspect of the present disclosure, a hydrological and meteorological data management system for an offshore photovoltaic project is provided, comprising: a data acquisition module, for collecting real-time hydrological and meteorological data in an offshore photovoltaic field in real time by a data acquisition device according to pre-configured hydrological and meteorological measurement elements; a data quality detection module, for determining key features corresponding to the real-time hydrological and meteorological data, performing abnormal data detection processing on the real-time hydrological and meteorological data based on the key features to obtain hydrological and meteorological abnormal data, and the hydrological and meteorological abnormal data is used to send abnormal prompt information to specific personnel; the key features include one or more of periodic features, trend features, seasonal features and geographical location features; a data storage module, for classifying and storing the real-time hydrological and meteorological data and adding quality tags according to pre-configured data storage dimensions, and adding corresponding abnormal tags to the hydrological and meteorological abnormal data; generating and storing hydrological and meteorological log records based on the quality tags and the abnormal tags.

[0009] In an exemplary embodiment of the present disclosure, the data acquisition module also includes a data acquisition unit, which is used to determine the hydrological and meteorological measurement elements according to the measurement performance requirements; the data acquisition device collects real-time hydrological and meteorological data in each photovoltaic field in real time according to the hydrological and meteorological measurement elements, and the real-time hydrological and meteorological data includes one or more of meteorological data, hydrological data and wave and current data.

[0010] In an exemplary embodiment of the present disclosure, the data quality detection module includes a data quality detection unit, which is used to obtain a pre-trained abnormal data detection model, wherein the abnormal data detection model is trained based on key features of hydrological and meteorological sample data; perform abnormal data detection processing on the hydrological and meteorological real-time data based on the abnormal data detection model to obtain abnormal data detection results; determine hydrological and meteorological abnormal data based on the abnormal data detection results, wherein the hydrological and meteorological abnormal data includes discrete abnormal data and continuous abnormal data; send abnormal prompt information to specific personnel based on the discrete abnormal data; determine the cause of the abnormal state of the continuous abnormal data, and send abnormal state notification information based on the cause of the abnormal state.

[0011] In an exemplary embodiment of the present disclosure, the data quality detection unit includes a data preprocessing subunit, which is used to obtain initial hydrological and meteorological real-time data from multiple data sources; identify and classify each of the initial hydrological and meteorological real-time data to obtain classified hydrological and meteorological real-time data; perform data cleaning, format conversion and standardization on each of the classified hydrological and meteorological real-time data to obtain preprocessed hydrological and meteorological real-time data; perform data fusion processing on the preprocessed hydrological and meteorological real-time data from multiple data sources to obtain hydrological and meteorological real-time data.

[0012] In an exemplary embodiment of the present disclosure, the data quality detection unit includes a data quality detection sub-unit, which is used to determine the confidence corresponding to each data item in the real-time hydrological and meteorological data; obtain a pre-configured confidence threshold, and determine the abnormal data detection result of each data item based on the comparison result between the confidence and the confidence threshold.

[0013] In an exemplary embodiment of the present disclosure, the hydrological and meteorological real-time data management system for offshore photovoltaic projects also includes a system monitoring module, which is used to obtain the real-time working status of the data acquisition equipment and record the real-time working status parameters; obtain a pre-configured abnormal fault type table, and determine the abnormal fault type of the data acquisition equipment according to the real-time working status parameters and the abnormal fault type table; when the abnormal fault type belongs to a simple fault, trigger a fault relief instruction matching the abnormal fault type, and relieve the simple fault based on the fault relief instruction; when the abnormal fault type belongs to a complex fault, determine a fault relief personnel matching the complex fault, and send a fault notification message to the fault relief personnel.

[0014] In an exemplary embodiment of the present disclosure, the real-time hydrological and meteorological data management system for offshore photovoltaic projects also includes a data publishing module and a data backup module. The data publishing module is used to publish the real-time hydrological and meteorological data to a data management platform in real time; the data backup module is used to obtain a pre-configured data backup cycle, back up the real-time hydrological and meteorological data based on the data backup cycle, and store them in a hydrological and meteorological database; or receive a data backup operation, and back up the real-time hydrological and meteorological data according to the data backup operation.

[0015] In an exemplary embodiment of the present disclosure, the real-time hydrological and meteorological data management system for offshore photovoltaic projects also includes a data query module, which is used to receive a data query request from a target user based on the data management platform, determine query keywords and user permissions according to the data query request; and return corresponding target query content to the target user according to the query keywords and the user permissions.

[0016] According to a second aspect of the present disclosure, a method for managing hydrological and meteorological data for an offshore photovoltaic project is provided, comprising: obtaining, by a hydrological and meteorological acquisition device, real-time hydrological and meteorological data in an offshore photovoltaic field in real time according to pre-configured hydrological and meteorological elements; obtaining a pre-trained abnormal data detection model, performing abnormal data detection processing on the real-time hydrological and meteorological data through the abnormal data detection model to obtain an abnormal data detection result, wherein the abnormal data detection model is trained based on key features of hydrological and meteorological sample data, and the key features include one or more of periodic features, trend features, and geographical location features; determining hydrological and meteorological abnormal data according to the obtained abnormal data detection result, wherein the hydrological and meteorological abnormal data include discrete abnormal data and continuous abnormal data; and generating a hydrological and meteorological log record based on the real-time hydrological and meteorological data and the hydrological and meteorological abnormal data.

[0017] According to a third aspect of the present disclosure, a hydrometeorological data management device for an offshore photovoltaic project is provided, comprising: a real-time data acquisition module, for obtaining, by a hydrometeorological acquisition device, real-time hydrometeorological data in an offshore photovoltaic field in real time according to pre-configured hydrometeorological elements; an abnormal data detection module, for obtaining a pre-trained abnormal data detection model, performing abnormal data detection processing on the real-time hydrometeorological data through the abnormal data detection model to obtain an abnormal data detection result, wherein the abnormal data detection model is obtained by training based on key features of hydrometeorological sample data, wherein the key features include one or more of periodic features, trend features and geographical location features; a detection result determination module, for determining hydrometeorological abnormal data according to the obtained abnormal data detection result, wherein the hydrometeorological abnormal data includes discrete abnormal data and continuous abnormal data; and a log record generation module, for generating a hydrometeorological log record based on the real-time hydrometeorological data and the hydrometeorological abnormal data.

[0018] According to a fourth aspect of the present disclosure, there is provided an electronic device, comprising: a processor; and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, a method for managing hydrological and meteorological data for an offshore photovoltaic project according to any one of the above items is implemented.

[0019] According to a fifth aspect of the present disclosure, there is provided a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for managing hydrological and meteorological data for an offshore photovoltaic project according to any one of the above items is implemented.

[0020] According to a sixth aspect of the present disclosure, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements any one of the above-mentioned methods for managing hydrological and meteorological data for offshore photovoltaic projects.

[0021] The technical solution provided by the present disclosure may have the following beneficial effects:

[0022] On the one hand, it provides a hydrological and meteorological data management system for offshore photovoltaic projects, which realizes the unification of data collection, data storage and data management functions, and provides strong meteorological forecast service support for the construction of offshore photovoltaic projects. On the other hand, by performing data quality detection on hydrological and meteorological data, the detected abnormal data is sent to specific personnel in a timely manner, which is convenient for real-time follow-up of hydrological and meteorological data and guiding the construction progress of offshore photovoltaic projects.

[0023] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present disclosure, and together with the specification, are used to explain the principles of the present disclosure. Obviously, the drawings described below are only some embodiments of the present disclosure, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0025] Figure 1 It is a system structure diagram of the hydrological and meteorological data management system for offshore photovoltaic projects disclosed in the present invention;

[0026] Figure 2 It is an overall design diagram of the hydrological and meteorological data management system for offshore photovoltaic projects disclosed in the present invention;

[0027] Figure 3 is another system structure diagram of the hydrological and meteorological data management system for offshore photovoltaic projects disclosed in the present invention;

[0028] Figure 4 A flow chart of a method for managing hydrological and meteorological data for an offshore photovoltaic project according to an exemplary embodiment of the present disclosure is schematically shown;

[0029] Figure 5 A block diagram of a hydrological and meteorological data management device for an offshore photovoltaic project according to an exemplary embodiment of the present disclosure is schematically shown;

[0030] Figure 6 A block diagram schematically shows an electronic device according to an exemplary embodiment of the present disclosure;

[0031] Figure 7 A schematic diagram of a computer-readable storage medium according to an exemplary embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0032] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be comprehensive and complete and will fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar parts, and thus their repeated description will be omitted.

[0033] In addition, the described features, structures or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known structures, methods, devices, implementations, materials or operations are not shown or described in detail to avoid blurring the various aspects of the present disclosure.

[0034] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or these functional entities or parts of functional entities may be implemented in one or more software hardened modules, or these functional entities may be implemented in different networks and / or processor devices and / or microcontroller devices.

[0035] Offshore photovoltaic projects refer to a new form of energy that transfers photovoltaic power stations from land to sea and uses marine resources to generate electricity. The dynamic characteristics of the marine environment are one of the challenges that offshore photovoltaic power stations must deal with. Changes in wind and waves on the sea surface may cause the mechanical structure of photovoltaic equipment to bear additional dynamic loads. Especially in stormy and high-wave weather, photovoltaic panels and brackets need to have sufficient strength and toughness to withstand the impact and swing of wind and waves; in addition, the rising and falling tides of the sea water may affect the stability of the floating system of the photovoltaic power station.

[0036] The implementation of offshore photovoltaic projects is highly dependent on hydrological and meteorological data. Therefore, real-time observation of hydrological and meteorological data and timely detection of abnormal conditions in the marine environment through real-time monitoring of hydrological and meteorological data to guide project implementation are issues that need to be urgently addressed in offshore photovoltaic projects.

[0037] Based on this, in this exemplary embodiment, a hydrological and meteorological data management system for an offshore photovoltaic project is first provided. Figure 1 It is a system structure of the hydrological and meteorological data management system for offshore photovoltaic projects disclosed in the present invention. Figure 1 , the hydrological and meteorological data management system for offshore photovoltaic projects can include the following modules:

[0038] The data collection module 110 is used to collect the real-time hydrological and meteorological data in the offshore photovoltaic field in real time according to the pre-configured hydrological and meteorological measurement elements by the data collection equipment.

[0039] The data quality detection module 120 is used to determine the key features corresponding to the real-time hydrological and meteorological data, perform abnormal data detection and processing on the real-time hydrological and meteorological data based on the key features, and obtain hydrological and meteorological abnormal data. The hydrological and meteorological abnormal data is used to send abnormal prompt information to specific personnel; the key features include one or more of periodic features, trend features, seasonal features and geographical location features.

[0040] The data storage module 130 is used to classify and store the real-time hydrological and meteorological data and add quality tags according to the pre-configured data storage dimensions, and add corresponding abnormal tags to the hydrological and meteorological abnormal data; generate and store hydrological and meteorological log records based on the quality tags and abnormal tags.

[0041] According to the hydrological and meteorological data management system for offshore photovoltaic projects in this example embodiment, on the one hand, a hydrological and meteorological data management system applied to offshore photovoltaic projects is provided, which realizes the unification of functions such as data collection, data storage and data management, and provides strong meteorological forecast service support for the construction of offshore photovoltaic projects. On the other hand, by performing data quality detection on hydrological and meteorological data, the detected abnormal data is sent to specific personnel in a timely manner, which is convenient for real-time follow-up of hydrological and meteorological data and guiding the construction progress of offshore photovoltaic projects.

[0042] Next, the hydrological and meteorological data management system for an offshore photovoltaic project in this exemplary embodiment will be further described.

[0043] The data collection module 110 is used to collect the real-time hydrological and meteorological data in the offshore photovoltaic field in real time according to the pre-configured hydrological and meteorological measurement elements by the data collection equipment.

[0044] In an exemplary embodiment of the present disclosure, the data acquisition device may be a device for collecting hydrological and meteorological data, such as a hydrological and meteorological instrument. The data acquisition device may be arranged in a photovoltaic platform or in a nearby sea surface area.

[0045] The hydrometeorological measurement elements may be data items collected by the data collection equipment. The hydrometeorological real-time data may be the hydrometeorological data collected in real time by the data collection equipment in the sea surface area of ​​the offshore photovoltaic project. For example, the hydrometeorological real-time data may be time series data.

[0046] In offshore photovoltaic projects, the hydrological and meteorological data acquisition equipment can be an ocean automatic weather station, which consists of hardware and software. The hardware consists of data collectors, sensors and peripherals, including communications, power supplies, etc. The software part can include software systems for supporting the display of hydrological and meteorological data.

[0047] In offshore photovoltaic projects, data acquisition equipment can collect hydrological and meteorological data in real time as real-time hydrological and meteorological data based on pre-configured hydrological and meteorological measurement elements such as air temperature, air pressure, wind speed, wind direction, temperature, humidity, visibility, etc.

[0048] In an exemplary embodiment of the present disclosure, the data acquisition module 110 also includes a data acquisition unit for determining hydrological and meteorological measurement elements according to measurement performance requirements; the data acquisition device collects real-time hydrological and meteorological data in each photovoltaic field in real time according to the hydrological and meteorological measurement elements, and the real-time hydrological and meteorological data includes one or more of meteorological data, hydrological data and wave and current data.

[0049] Among them, the measurement performance requirements can be data monitoring requirements determined according to the specific application scenarios of offshore photovoltaic projects, and specific hydrological and meteorological measurement elements can be determined according to the measurement performance requirements. Meteorological data can be a set of data reflecting the weather conditions of the marine environment, and meteorological data can be divided into climate data and weather data. Hydrological data can be water quality data of the ocean in offshore photovoltaic projects and related attribute data such as marine topography. Wave current data can refer to data related to ocean waves, including information such as wave height, wave direction, wave angle, and wave period.

[0050] Before data collection, the project implementation requirements of the offshore photovoltaic project can be clarified first, and the measurement performance requirements can be determined based on the project implementation requirements. For example, in offshore photovoltaic projects, it is necessary to pay close attention to environmental data such as meteorology, hydrology, and wave currents. According to the measurement performance requirements, the hydrological and meteorological measurement elements can be configured through the data collection equipment. The hydrological and meteorological measurement elements include the data items that need to be collected for hydrological data, meteorological data, and wave current data.

[0051] The offshore photovoltaic project includes multiple photovoltaic fields. The data acquisition equipment can collect the real-time hydrological and meteorological data in each photovoltaic field in real time according to the hydrological and meteorological measurement elements. The collected real-time hydrological and meteorological data may include one or more of meteorological data, hydrological data and wave and current data. The data acquisition equipment can detect various hydrological and meteorological elements. Specifically, the physical values ​​of the collected elements are converted into electrical signals, and quantized and encoded into data signals as hydrological and meteorological implementation data. Specifically, Table 1 shows some data items of the real-time hydrological and meteorological data.

[0052] Table 1 Some data items of real-time hydrological and meteorological data.

[0053]

[0054]

[0055] The data acquisition unit can be used to collect the hydrological and meteorological data of each photovoltaic field in real time, so as to conduct data quality detection on the real-time hydrological and meteorological data later and discover data anomalies in time to guide the implementation of offshore photovoltaic projects.

[0056] The data quality detection module 120 is used to determine the key features corresponding to the real-time hydrological and meteorological data, perform abnormal data detection and processing on the real-time hydrological and meteorological data based on the key features, and obtain hydrological and meteorological abnormal data. The hydrological and meteorological abnormal data is used to send abnormal prompt information to specific personnel; the key features include one or more of periodic features, trend features, seasonal features and geographical location features.

[0057] In an exemplary embodiment of the present disclosure, the key features may be a portion of representative features in the real-time hydrological and meteorological data. In the data analysis process, feature selection, dimensionality reduction and extraction methods may be used to select key features.

[0058] After acquiring the real-time hydrological and meteorological data, the data quality detection module can detect abnormal data based on the key features of the real-time hydrological and meteorological data, and determine the hydrological and meteorological abnormal data from the real-time hydrological and meteorological data. Specifically, the key features of the real-time hydrological and meteorological data may include but are not limited to periodic features, trend features, seasonal features, and geographical location features, etc. The present disclosure may also select other key features for abnormal data detection needs.

[0059] Specifically, periodic characteristics can refer to patterns in hydrometeorological data that repeat over a certain time interval. For example, daily rainfall may show daily periodic changes, while monthly average temperature may show seasonal periodic changes. These periodic characteristics are usually related to natural phenomena such as the earth's rotation, revolution, tides, and atmospheric circulation. Trend characteristics can refer to the gradual increase or decrease in hydrometeorological data over a long period of time. These trends may be related to climate change, land use change, or other long-term changes caused by human activities. For example, the long-term trend of rising global average temperature is an obvious example of climate change.

[0060] Seasonal characteristics can refer to the regular changes in hydrological and meteorological data in different seasons. These changes are usually related to the changes in solar radiation caused by the revolution and rotation of the earth. For example, rainfall in many areas is higher in summer and lower in winter; while temperature shows seasonal changes of high in summer and low in winter.

[0061] Geographic characteristics can refer to the differences in hydrometeorological data at different geographical locations. Due to differences in topography, landforms, latitudes, and ocean distribution on the Earth's surface, hydrometeorological conditions can vary greatly from region to region. For example, rainfall patterns, temperatures, and wind speeds can differ significantly between mountainous and coastal areas.

[0062] After the abnormal data detection result is determined through abnormal data detection, an abnormal prompt information can be sent to a specific person. Through the above steps, abnormal data in real-time data can be detected in time and notified to relevant personnel in time so that relevant personnel can intervene in time.

[0063] In an exemplary embodiment of the present disclosure, the data quality detection module 120 includes a data quality detection unit for obtaining a pre-trained abnormal data detection model, where the abnormal data detection model is trained based on key features of hydrological and meteorological sample data; performing abnormal data detection processing on hydrological and meteorological real-time data based on the abnormal data detection model to obtain abnormal data detection results; determining hydrological and meteorological abnormal data based on the abnormal data detection results, where the hydrological and meteorological abnormal data includes discrete abnormal data and continuous abnormal data; sending abnormal prompt information to specific personnel based on the discrete abnormal data; determining the cause of the abnormal state of the continuous abnormal data, and sending abnormal state notification information based on the cause of the abnormal state.

[0064] The abnormal data detection result may be the result obtained after abnormal data detection is performed on the real-time hydrological and meteorological data. The abnormal hydrological and meteorological data may be data points in the real-time hydrological and meteorological data that are obviously deviated from the normal distribution or pattern. The abnormal state cause may be the specific cause that causes the abnormal state of the hydrological and meteorological data. The abnormal state notification information may be notification information sent to a specific person so that the specific person can monitor the abnormal state of the hydrological and meteorological data in a timely manner.

[0065] The data quality detection unit can perform abnormal data detection through a pre-trained abnormal data detection model, and the abnormal data detection model can be trained based on the key features of the hydrological and meteorological sample data. The data items included in the hydrological and meteorological sample data are the same as the data items included in the hydrological and meteorological real-time data, and this disclosure will not repeat them.

[0066] Through feature extraction processing, the key features corresponding to the hydrological and meteorological sample data can be determined, and the hydrological and meteorological sample data can be input into the pre-built initial model. The hydrological and meteorological sample data has corresponding data labels, including normal data labels and abnormal data labels. The initial model analyzes the sample data based on the key features of the hydrological and meteorological sample data and outputs the corresponding prediction labels. The model is trained with the loss value between the output prediction label and the real data label to obtain the abnormal data detection model for subsequent abnormal data detection.

[0067] The real-time hydrological and meteorological data is input into the trained abnormal data detection model, and the abnormal data detection model performs abnormal data detection processing, and finally outputs the corresponding data label as the abnormal data detection result. The hydrological and meteorological abnormal data can be determined from the abnormal data detection result. For example, the hydrological and meteorological abnormal data can include discrete abnormal data and continuous abnormal data. Among them, discrete abnormal data can be abnormal data points corresponding to individual time points in the collected time series data. Continuous abnormal data can be incorrect data that appears continuously at multiple time points in the collected time series data.

[0068] For the identified discrete abnormal data, an abnormal prompt message is sent to a specific person based on the discrete abnormal data, prompting the relevant person to conduct a manual review. For incorrect data that appears continuously, it is necessary to analyze the cause of the failure of the continuous abnormal data to determine the corresponding abnormal state cause, and the data quality detection unit can automatically call the relevant business personnel information and issue abnormal state notification information, such as sending abnormal state notification information by SMS or alarm, to notify the relevant business personnel to handle it in time. The abnormal state notification information of the abnormal data detection result is sent to the relevant business personnel, so that the relevant personnel can follow up the abnormal state in real time and respond in time.

[0069] In an exemplary embodiment of the present disclosure, the data quality detection unit includes a data preprocessing subunit, which is used to obtain initial hydrological and meteorological real-time data from multiple data sources; identify and classify each initial hydrological and meteorological real-time data to obtain classified hydrological and meteorological real-time data; perform data cleaning, format conversion and standardization on each classified hydrological and meteorological real-time data to obtain preprocessed hydrological and meteorological real-time data; perform data fusion processing on the preprocessed hydrological and meteorological real-time data from multiple data sources to obtain hydrological and meteorological real-time data.

[0070] The initial hydrological and meteorological real-time data may be the hydrological and meteorological real-time data directly collected by various hardware of the data acquisition device. The classified hydrological and meteorological real-time data may be the data obtained after the hydrological and meteorological real-time data is identified and classified according to the pre-configured data classification category. The pre-processed hydrological and meteorological real-time data may be the data generated after various data pre-processing such as data cleaning, format conversion and standardization are performed on the classified hydrological and meteorological real-time data.

[0071] The data preprocessing subunit can integrate hydrological and meteorological monitoring station data from different sources and types, including ground observation data, satellite remote sensing data and model output data, such as obtaining initial hydrological and meteorological real-time data from multiple data sources. Each initial hydrological and meteorological real-time data is identified and classified, for example, it can be identified and classified according to specific data items to obtain classified hydrological and meteorological real-time data.

[0072] Data cleaning, format conversion and standardization are performed on each category of real-time hydrological and meteorological data to obtain pre-processed real-time hydrological and meteorological data; wherein, data cleaning can be a process of identifying and processing errors and anomalies in the data, such as identifying and processing missing values, duplicate values ​​and obviously erroneous data points. Data conversion can be a process of converting data into a format suitable for a support vector machine model, such as converting data into numerical, categorical or time series data. Standardization can be a process of converting data into a unified data format. Furthermore, data fusion processing is performed on the pre-processed real-time hydrological and meteorological data from multiple data sources, such as data fusion processing based on data items to obtain real-time hydrological and meteorological data. Through data preprocessing, the collected data can be integrated into data that can be processed by the model as the data basis for subsequent abnormal data detection.

[0073] In an exemplary embodiment of the present disclosure, the data quality detection unit includes a data quality detection sub-unit, which is used to determine the confidence corresponding to each data item in the real-time hydrological and meteorological data; obtain a pre-configured confidence threshold, and determine the abnormal data detection result of each data item based on the comparison result between the confidence and the confidence threshold.

[0074] The confidence threshold may be a pre-configured reference threshold for comparison with the confidence values ​​of each data item of the real-time hydrological and meteorological data.

[0075] The data quality detection subunit can use the data anomaly detection model to determine the confidence level corresponding to each data item in the real-time hydrological and meteorological data. The confidence level is also called the confidence level, which can be an indicator used to measure the reliability of the confidence interval corresponding to the specific value of each data item. Taking meteorological data as an example, based on a set of time series meteorological data obtained, the confidence interval of the set of data at a 95% confidence level is calculated, and the confidence level can be 95%.

[0076] The calculated confidence level is compared with the confidence level threshold, and the abnormal data detection result is obtained by determining whether there is abnormal data in each data item based on the comparison result of the two. Through the above steps, it can be determined whether each data item contains abnormal data, so as to monitor and report the abnormal data in time.

[0077] The data storage module 130 is used to classify and store the real-time hydrological and meteorological data and add quality tags according to the pre-configured data storage dimensions, and add corresponding abnormal tags to the hydrological and meteorological abnormal data; generate and store hydrological and meteorological log records based on the quality tags and abnormal tags.

[0078] In an exemplary embodiment of the present disclosure, the data storage dimension may be the dimension used for storing and processing the real-time hydrological and meteorological data. The quality mark may be a mark used to identify the quality level of the real-time hydrological and meteorological data. The abnormal mark may be a mark made on the abnormal hydrological and meteorological data in order to distinguish the abnormal data from the normal data. The hydrological and meteorological log record may be a record file used to record the information, operations and events of the real-time hydrological and meteorological data.

[0079] The real-time hydrological and meteorological data collected in real time and the identified hydrological and meteorological anomaly data can be stored in the hydrological and meteorological database. Data storage operations can be performed according to the data storage dimension, for example, data from different collection points and data from different measurement elements are classified and stored and uniformly managed.

[0080] The data storage dimension can be determined based on the data organization dimension. The data organization methods can be divided into one-dimensional data, two-dimensional data, and high-dimensional data. One-dimensional data usually organizes data in a linear manner, and generally uses lists, tuples, or sets to store data. Two-dimensional data, also known as tabular data, consists of rows and columns and is stored using two-dimensional lists. High-dimensional data can be organized using a key-value method and stored using dictionaries.

[0081] When determining the corresponding data storage dimensions, matching data tags can also be added to different types of data, such as adding quality tags to classified stored hydrological and meteorological real-time data to determine the quality level corresponding to the hydrological and meteorological real-time data; in addition, corresponding anomaly tags can be added to the detected hydrological and meteorological abnormal data, such as the anomaly tag can indicate the anomaly type corresponding to the abnormal data.

[0082] For data that has been tagged, various messages can be generated according to production and storage requirements, such as generating hydrological and meteorological log records, which can record the specific data values ​​of hydrological and meteorological real-time data; they can also record the abnormal status of hydrological and meteorological real-time data, and the user operations performed by relevant users in response to the abnormal data status; they can also record specific events triggered by users based on hydrological and meteorological real-time data.

[0083] The real-time hydrological and meteorological data, hydrological and meteorological log records and other related information are stored in the hydrological and meteorological database, which is deployed in the database management system. The database management system can realize the functions of daily database management and data backup. The hydrological and meteorological log records are regularly reported to the relevant departments so that the relevant departments can check the relevant data at any time.

[0084] refer to Figure 2 , Figure 2This is an overall design diagram of the hydrological and meteorological data management system for offshore photovoltaic projects disclosed in the present invention. Figure 2 It can be seen that the basic functions of the entire system are mainly composed of three parts: data collection points located on site; host computers, databases and Web servers located at the central station; and user terminals distributed in various places. The three form an organic whole through a dedicated communication network to realize functions such as data collection, data storage, data management, data publishing and query. The system can deploy an abnormal data detection model on the host computer located at the central station to detect abnormal data in real-time hydrological and meteorological data; store the generated hydrological and meteorological log records in the database; and then publish the data stored in the database through the web server through the dedicated network to the data management platform so that relevant business personnel can query the data.

[0085] In an exemplary embodiment of the present disclosure, a real-time hydrological and meteorological data management system for an offshore photovoltaic project also includes a system monitoring module, which is used to obtain the real-time working status of a data acquisition device and record real-time working status parameters; obtain a pre-configured abnormal fault type table, and determine the abnormal fault type of the data acquisition device according to the real-time working status parameters and the abnormal fault type table; when the abnormal fault type belongs to a simple fault, trigger a fault relief instruction matching the abnormal fault type, and relieve the simple fault based on the fault relief instruction; when the abnormal fault type belongs to a complex fault, determine a fault relief personnel matching the complex fault, and send a fault notification message to the fault relief personnel.

[0086] The real-time working state may be the real-time operating state of the data acquisition device, and the real-time working state may include but is not limited to normal operating state, abnormal state, shutdown state, full load and idle state, etc. The real-time working state parameter may be the device parameter corresponding to the current working state of the data acquisition device. The abnormal fault type table may be a data table for recording the abnormal fault types that may occur in the data acquisition device. The abnormal fault type may be the fault type that the data acquisition device may correspond to.

[0087] refer to Figure 3 , Figure 3 3 is another system structure diagram of the hydrological and meteorological data management system for offshore photovoltaic projects disclosed in the present invention. The hydrological and meteorological real-time data management system 300 for offshore photovoltaic projects also includes a system monitoring module 310, which can monitor the real-time working status of the data acquisition equipment, such as obtaining and recording the real-time working status parameters of the data acquisition equipment. The working status parameters of the equipment may include parameters such as physical quantities, chemical quantities and electrical quantities of the equipment, and these parameters jointly determine the performance and operating status of the equipment or system.

[0088] After obtaining the real-time working state parameters, the real-time working state parameters are analyzed, and the working state parameter values ​​are compared with the pre-configured abnormal fault type table to determine the working state of the data acquisition device. When the data acquisition device has an abnormal working state, the abnormal fault type corresponding to the data acquisition device can be determined according to the abnormal fault type table. The abnormal fault type can include simple faults and complex faults.

[0089] If the abnormal fault type is a simple fault, which can be a temporary fault that occurs accidentally at any time in the data acquisition device, such as a device freeze or freeze, then a fault relief instruction matching the abnormal fault type can be triggered, and the simple fault can be automatically relieved by executing the fault relief instruction. For example, when the device freezes abnormally, a restart instruction can be triggered to restore the device to normal by restarting the data acquisition device. When the device freezes, a program termination instruction can be triggered to terminate some running programs in the device to alleviate the device freeze.

[0090] If it is determined by comparing the abnormal fault type table that the abnormal fault type is a complex fault, the fault resolution personnel related to the complex fault can be determined and fault notification information can be sent to the fault resolution personnel; wherein, the complex fault can be a fault generated by the data acquisition equipment that cannot be automatically restored by the fault resolution instruction.

[0091] For different types of equipment failures, a troubleshooting personnel responsible for troubleshooting the equipment failure can be pre-arranged. The troubleshooting personnel can be the staff who handles complex failures to restore the data acquisition equipment to normal. The fault notification information is sent to the troubleshooting personnel. The fault notification information can be a notification information sent to the troubleshooting personnel, such as the fault notification information can be sent in the form of a text message or an alarm. The system monitoring module can timely eliminate the equipment failure when the equipment fails to ensure the normal operation of the equipment by real-time monitoring of the real-time working status of the data acquisition equipment.

[0092] In an exemplary embodiment of the present disclosure, continue to refer to Figure 3 The real-time hydrological and meteorological data management system 300 for offshore photovoltaic projects also includes a data publishing module 320 and a data backup module 330. The data publishing module 320 is used to publish the real-time hydrological and meteorological data to the data management platform in real time; the data backup module 330 is used to obtain a pre-configured data backup cycle, back up the real-time hydrological and meteorological data based on the data backup cycle, and store it in the hydrological and meteorological database; or receive a data backup operation, and back up the real-time hydrological and meteorological data according to the data backup operation.

[0093] The data management platform may be an application platform that provides functions such as visual display, data publishing, and data query of real-time hydrological and meteorological data to relevant personnel. The data backup cycle may refer to the frequency or time interval of backing up data. The hydrological and meteorological database may be a database for storing real-time hydrological and meteorological data and related information.

[0094] Continue to refer Figure 3 The data publishing module 320 can be used to publish the collected real-time hydrological and meteorological data to the data management platform in real time, which can be used by relevant personnel through data query operations later.

[0095] In order to ensure the security of collected data and prevent data loss due to accidents, the hydrological and meteorological real-time data management system of the offshore photovoltaic project disclosed in the present invention must be able to realize data backup function, such as realizing data backup through a data backup module. The data backup function can be realized through automatic backup and manual backup.

[0096] When performing automatic data backup, the data backup cycle can be pre-configured, such as the data backup cycle can be 24 hours (hour, h), 12 hours, etc.; according to the data backup cycle, the real-time hydrological and meteorological data can be automatically backed up, and the backup data can be stored in the hydrological and meteorological database.

[0097] In addition, the data backup module 330 can also support manual backup. Relevant business personnel can perform data backup operations based on the data management platform. When receiving the user's data backup operation, the relevant hydrological and meteorological real-time data selected by the user can be backed up according to the data backup operation and stored in the hydrological and meteorological database. Through the data backup function, unexpected situations can be effectively dealt with, data loss can be prevented, and data security can be protected.

[0098] In an exemplary embodiment of the present disclosure, continue to refer to Figure 3 The real-time hydrological and meteorological data management system 300 for offshore photovoltaic projects also includes a data query module 340, which is used to receive data query requests from target users based on the data management platform, determine query keywords and user permissions based on the data query requests; and return corresponding target query content to the target user based on the query keywords and user permissions.

[0099] The data query request may be a query request submitted by the target user based on the data management platform. The query keyword may be a keyword used by the target user to query the data, which helps the target user to retrieve the required target data from the database. User authority may be a mechanism for controlling the user's access level to software functions and resources. Different users have different access levels and can query different data. The target user may be the user who sends the data query request. The target query content may be the query content returned based on the data query request of the target user.

[0100] Continue to refer Figure 3 The real-time hydrological and meteorological data management system 300 for offshore photovoltaic projects also supports a data query function. Users can submit corresponding data query requests through the data management platform. The query keywords and user permissions for this data query operation can be determined from the data query request. For example, the query keywords can include data generation date, data source, data type, etc. The data management platform can return the corresponding target query content to the target user based on the received query keywords and user permissions, so that users can perform data query, data download and other operations from the data management platform, and support the use needs of relevant business personnel for hydrological and meteorological data.

[0101] In summary, the hydrological and meteorological data management system for offshore photovoltaic projects disclosed in the present invention includes a data acquisition module, which is used for real-time acquisition of hydrological and meteorological real-time data in offshore photovoltaic fields by data acquisition equipment according to pre-configured hydrological and meteorological measurement elements; a data quality detection module, which is used to determine the key features corresponding to the hydrological and meteorological real-time data, and perform abnormal data detection and processing on the hydrological and meteorological real-time data based on the key features to obtain hydrological and meteorological abnormal data, which is used to send abnormal prompt information to specific personnel; the key features include one or more of periodic features, trend features, seasonal features and geographical location features; a data storage module, which is used to classify and store the hydrological and meteorological real-time data and add quality tags according to the pre-configured data storage dimensions, and add corresponding abnormal tags to the hydrological and meteorological abnormal data; and generate and store hydrological and meteorological log records based on the quality tags and abnormal tags. On the one hand, a hydrological and meteorological data management system applied to offshore photovoltaic projects is provided, which realizes the unification of functions such as data acquisition, data storage and data management, and provides strong meteorological forecast service support for the construction of offshore photovoltaic projects. On the other hand, by conducting data quality checks on hydrological and meteorological data, the detected abnormal data will be sent to specific personnel in a timely manner, which facilitates real-time follow-up of hydrological and meteorological data and guides the construction progress of offshore photovoltaic projects.

[0102] Secondly, the present disclosure also provides a method for managing hydrological and meteorological data for offshore photovoltaic projects. The method can be implemented based on the above-mentioned hydrological and meteorological data management system for offshore photovoltaic projects. The hydrological and meteorological data management method for offshore photovoltaic projects of the present disclosure can be implemented using a server, or the method described in the present disclosure can be implemented using a terminal device. The terminals described in the present disclosure may include mobile terminals such as mobile phones, tablet computers, laptop computers, PDAs, and personal digital assistants (PDAs), as well as fixed terminals such as desktop computers. Figure 4 The following is a schematic diagram of a hydrological and meteorological data management method for an offshore photovoltaic project according to some embodiments of the present disclosure. Figure 4 , the hydrological and meteorological data management method for an offshore photovoltaic project may include the following steps:

[0103] Step S410, the hydrological and meteorological data acquisition equipment acquires the real-time hydrological and meteorological data in the offshore photovoltaic field in real time according to the pre-configured hydrological and meteorological elements;

[0104] Step S420, obtaining a pre-trained abnormal data detection model, performing abnormal data detection processing on the real-time hydrological and meteorological data through the abnormal data detection model, and obtaining an abnormal data detection result, wherein the abnormal data detection model is trained based on key features of the hydrological and meteorological sample data, and the key features include one or more of periodic features, trend features, and geographical location features;

[0105] Step S430, determining hydrological and meteorological abnormal data according to the abnormal data detection result obtained, where the hydrological and meteorological abnormal data includes discrete abnormal data and continuous abnormal data;

[0106] Step S440, generating a hydrological and meteorological log record based on the real-time hydrological and meteorological data and the hydrological and meteorological abnormal data.

[0107] The disclosed method for managing hydrological and meteorological data for offshore photovoltaic projects is implemented based on a supporting hydrological and meteorological data management system for offshore photovoltaic projects. The hydrological and meteorological data of each photovoltaic field in the offshore photovoltaic field area are collected in real time by data acquisition equipment, so as to provide real-time hydrological and meteorological information for the supervision and protection of the photovoltaic field area. In addition, by performing abnormal data detection on the real-time hydrological and meteorological data, abnormal hydrological and meteorological data can be determined, including discrete abnormal data and continuous abnormal data. When the abnormal data is detected, the abnormal status notification information of the abnormal data is sent to the relevant business personnel in the form of text messages or alarms, so that the relevant business personnel can grasp the real-time data dynamics and improve the early warning and forecasting level of the environmental information of the offshore photovoltaic field and the surrounding waters.

[0108] The disclosed hydrometeorological data management method for offshore photovoltaic projects, on the one hand, performs data quality detection on hydrometeorological data and sends the detected abnormal data to specific personnel in a timely manner, so as to facilitate real-time follow-up of hydrometeorological data, improve the data warning level, and guide the construction progress of offshore photovoltaic projects. On the other hand, hydrometeorological log records are generated based on hydrometeorological data, so that relevant business personnel can check relevant data at any time and grasp the hydrometeorological information of offshore photovoltaic projects.

[0109] It should be noted that, although the steps of the method of the present invention are described in a specific order in the drawings, this does not require or imply that the steps must be performed in this specific order, or that all the steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps, etc.

[0110] In addition, in this exemplary embodiment, a hydrological and meteorological data management device for an offshore photovoltaic project is also provided. Figure 5 The hydrological and meteorological data management device 500 for an offshore photovoltaic project may include: a real-time data acquisition module 510, an abnormal data detection module 520, a detection result determination module 530 and a log record generation module 540.

[0111] Specifically, the real-time data acquisition module 510 is used to obtain the real-time hydrological and meteorological data in the offshore photovoltaic field in real time by the hydrological and meteorological collection equipment according to the pre-configured hydrological and meteorological elements; the abnormal data detection module 520 is used to obtain a pre-trained abnormal data detection model, and perform abnormal data detection processing on the real-time hydrological and meteorological data through the abnormal data detection model to obtain the abnormal data detection result, and the abnormal data detection model is trained based on the key features of the hydrological and meteorological sample data, and the key features include one or more of periodic features, trend features and geographical location features; the detection result determination module 530 is used to determine the hydrological and meteorological abnormal data according to the obtained abnormal data detection results, and the hydrological and meteorological abnormal data includes discrete abnormal data and continuous abnormal data; the log record generation module 540 is used to generate a hydrological and meteorological log record based on the real-time hydrological and meteorological data and the hydrological and meteorological abnormal data.

[0112] The specific details of the virtual modules of the above-mentioned hydrological and meteorological data management devices for offshore photovoltaic projects have been described in detail in the corresponding hydrological and meteorological data management methods for offshore photovoltaic projects. The undisclosed details can be found in the implementation methods of the method part, and will not be repeated here.

[0113] It should be noted that, although several modules or units of the hydrometeorological data management device for offshore photovoltaic projects are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided into multiple modules or units for embodiment.

[0114] In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

[0115] Those skilled in the art will appreciate that various aspects of the present disclosure may be implemented as systems, methods or program products. Therefore, various aspects of the present disclosure may be specifically implemented in the following forms, namely: complete hardware embodiments, complete software embodiments (including firmware, microcode, etc.), or embodiments combining hardware and software aspects, which may be collectively referred to herein as "circuits", "modules" or "systems".

[0116] The exemplary embodiments of the present disclosure also provide a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the hydrological and meteorological data management method for an offshore photovoltaic project is implemented.

[0117] In one embodiment, the computer program product may be a tangible product containing the computer program, such as a computer-readable storage medium storing the computer program. Figure 6 , Figure 6 The schematic diagram of a computer-readable storage medium according to an exemplary embodiment of the present disclosure is schematically shown. The computer-readable storage medium 600 can be a storage medium based on electrical, magnetic, optical, electromagnetic, infrared, etc. signals, including but not limited to: random access memory (RAM), read-only memory (ROM), magnetic tape, floppy disk, flash memory (Flash), mechanical hard disk (HDD), solid state drive (SSD), etc. Exemplarily, the computer program product can be implemented as a non-volatile storage medium storing a computer program, such as a read-only memory, a NAND flash memory (NandFlash), etc.

[0118] In one embodiment, the computer program product may be an intangible product including a computer program. Exemplarily, the computer program product may be implemented as a virtual digital product, such as a digital file storing an executable file, an installation package, etc. of the computer program.

[0119] The code of the computer program can be written in one or more programming languages. Programming languages ​​such as C language, Java, C++, etc. The program code can be executed entirely on the user computing device, or partially on the user computing device, or as a separate software package, or partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, such as a local area network (LAN), a wide area network (WAN), etc., or can be connected to an external computing device (e.g., an Internet connection provided by an operator).

[0120] The computer program may be carried or transmitted via electrical, magnetic, optical, electromagnetic, infrared, or other signals. The electronic device may convert the signal carrying the computer program into a digital signal, thereby running the computer program. When the computer program is run on an electronic device, its code is used to enable the electronic device to execute (more specifically, the processor of the electronic device may execute) the method steps of various exemplary embodiments of the present disclosure, such as the above-mentioned hydrological and meteorological data management method for an offshore photovoltaic project.

[0121] The exemplary embodiments of the present disclosure also provide an electronic device, which may include a processor and a memory. The memory stores executable instructions of the processor, such as a computer program. The processor executes the method steps of various exemplary embodiments of the present disclosure by executing the executable instructions. In addition, the electronic device may also include a display for displaying a graphical user interface.

[0122] Reference below Figure 7 , the electronic device is exemplarily described in the form of a general-purpose computing device. It should be understood that Figure 7 The electronic device 700 shown is merely an example and should not limit the functions and scope of use of the embodiments of the present disclosure.

[0123] like Figure 7 As shown, the electronic device 700 may include: a processor 710 , a memory 720 , a bus 730 , an I / O (input / output) interface 740 , a network adapter 750 , and a display 760 .

[0124] The memory 720 may include a volatile memory, such as a RAM 721, a cache unit 722, and may also include a non-volatile memory, such as a ROM 723. The memory 720 may also include one or more program modules 724, such program modules 724 include but are not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or a combination thereof may include the implementation of a network environment. For example, the program module 724 may include each module in the above-mentioned device.

[0125] The processor 710 may include one or more processing units. For example, the processor 710 may include an AP (Application Processor), a modem processor, a GPU (Graphics Processing Unit), an ISP (Image Signal Processor), a controller, an encoder, a decoder, a DSP (Digital Signal Processor), a baseband processor and / or an NPU (Neural-Network Processing Unit), etc.

[0126] The processor 710 may be used to execute executable instructions stored in the memory 720, such as executing the above-mentioned hydrological and meteorological data management method for offshore photovoltaic projects.

[0127] The bus 730 is used to realize the connection between different components of the electronic device 700, and may include a data bus, an address bus, and a control bus.

[0128] The electronic device 700 can communicate with one or more external devices 800 (eg, a keyboard, a mouse, an external controller, etc.) through the I / O interface 740 .

[0129] The electronic device 700 can communicate with one or more networks through the network adapter 750. For example, the network adapter 750 can provide mobile communication solutions such as 3G / 4G / 5G, or wireless communication solutions such as wireless LAN, Bluetooth, near field communication, etc. The network adapter 750 can communicate with other modules of the electronic device 700 through the bus 730.

[0130] The electronic device 700 may display a graphical user interface through the display 760 , such as a platform display interface of a data management platform.

[0131] although Figure 7Not shown, other hardware and / or software modules may also be provided in the electronic device 700, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0132] As can be seen from the above, the technical solution of the present disclosure can be implemented as a method, an apparatus, a system, a computer program product, a storage medium, an electronic device, etc. Those skilled in the art can understand that various aspects of the present disclosure can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software, such as being respectively referred to as a "circuit", "module" or "system".

[0133] It should be understood that the present disclosure is not limited to the specific method steps or structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from the scope thereof. Those skilled in the art will easily think of other embodiments based on the specific embodiments provided by the present disclosure. Therefore, the specific embodiments provided by the present disclosure are only exemplary, and the scope and spirit of the present disclosure are indicated by the claims, and any variations, uses or adaptive changes of the present disclosure should be covered, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the technical field that are not disclosed in the present disclosure.

Claims

1. A hydrological and meteorological data management system for offshore photovoltaic projects, characterized in that: include: A data acquisition module, used for real-time acquisition of hydrological and meteorological data in the offshore photovoltaic field by a data acquisition device according to pre-configured hydrological and meteorological measurement elements; A data quality detection module, used to determine the key features corresponding to the real-time hydrological and meteorological data, perform abnormal data detection processing on the real-time hydrological and meteorological data based on the key features, and obtain hydrological and meteorological abnormal data, wherein the hydrological and meteorological abnormal data is used to send abnormal prompt information to specific personnel; the key features include one or more of periodic features, trend features, seasonal features and geographical location features; A data storage module, used to classify and store the real-time hydrological and meteorological data and add quality marks according to pre-configured data storage dimensions, and add corresponding abnormal marks to the abnormal hydrological and meteorological data; A hydro-meteorological log record is generated and stored based on the quality mark and the anomaly mark.

2. The system according to claim 1, characterized in that The data acquisition module also includes a data acquisition unit for determining the hydrological and meteorological measurement elements according to the measurement performance requirements; The data acquisition device acquires the real-time hydrological and meteorological data in each photovoltaic field in real time according to the hydrological and meteorological measurement elements. The real-time hydrological and meteorological data includes one or more of meteorological data, hydrological data and wave and current data.

3. The system according to claim 1, characterized in that The data quality detection module includes a data quality detection unit, which is used to obtain a pre-trained abnormal data detection model, wherein the abnormal data detection model is trained based on key features of hydrological and meteorological sample data; Performing abnormal data detection processing on the hydrological and meteorological real-time data based on the abnormal data detection model to obtain an abnormal data detection result; Determine hydrological and meteorological abnormal data according to the abnormal data detection result, wherein the hydrological and meteorological abnormal data includes discrete abnormal data and continuous abnormal data; Sending abnormal prompt information to specific personnel based on the discrete abnormal data; An abnormal state cause of the continuous abnormal data is determined, and abnormal state notification information is sent based on the abnormal state cause.

4. The system according to claim 3, characterized in that The data quality detection unit includes a data preprocessing subunit, which is used to obtain initial hydrological and meteorological real-time data from multiple data sources; Identifying and classifying each of the initial hydrological and meteorological real-time data to obtain classified hydrological and meteorological real-time data; Performing data cleaning, format conversion and standardization processing on each of the classified hydrological and meteorological real-time data to obtain pre-processed hydrological and meteorological real-time data; The pre-processed real-time hydrological and meteorological data from the multiple data sources are subjected to data fusion processing to obtain real-time hydrological and meteorological data.

5. The system according to claim 3, characterized in that The data quality detection unit includes a data quality detection subunit, which is used to determine the confidence level corresponding to each data item in the real-time hydrological and meteorological data; A pre-configured confidence threshold is obtained, and the abnormal data detection result of each of the data items is determined according to a comparison result between the confidence and the confidence threshold.

6. The system according to claim 1, characterized in that The hydrological and meteorological real-time data management system for offshore photovoltaic projects also includes a system monitoring module for obtaining the real-time working status of the data acquisition equipment and recording the real-time working status parameters; Obtaining a pre-configured abnormal fault type table, and determining the abnormal fault type of the data acquisition device according to the real-time working state parameter and the abnormal fault type table; When the abnormal fault type belongs to a simple fault, triggering a fault relief instruction matching the abnormal fault type, and resolving the simple fault based on the fault relief instruction; When the abnormal fault type belongs to a complex fault, a fault resolution person matching the complex fault is determined, and fault notification information is sent to the fault resolution person.

7. The system according to any one of claims 1 to 6, characterized in that: The hydrological and meteorological real-time data management system for offshore photovoltaic projects also includes a data publishing module and a data backup module. The data publishing module is used to publish the real-time hydrological and meteorological data to the data management platform in real time; The data backup module is used to obtain a pre-configured data backup period, perform backup processing on the real-time hydrological and meteorological data based on the data backup period, and store the data in a hydrological and meteorological database; or A data backup operation is received, and the real-time hydrological and meteorological data is backed up according to the data backup operation.

8. The system according to claim 7, characterized in that The real-time hydrological and meteorological data management system for offshore photovoltaic projects also includes a data query module. The data query module is used to receive a data query request from a target user based on the data management platform, and determine a query keyword and user authority according to the data query request; According to the query keyword and the user authority, the corresponding target query content is returned to the target user.

9. A method for managing hydrological and meteorological data for an offshore photovoltaic project, characterized in that: include: The hydrological and meteorological data collection equipment obtains the real-time hydrological and meteorological data in the offshore photovoltaic field in real time according to the pre-configured hydrological and meteorological elements; Obtain a pre-trained abnormal data detection model, and perform abnormal data detection processing on the real-time hydrological and meteorological data through the abnormal data detection model to obtain an abnormal data detection result, wherein the abnormal data detection model is trained based on key features of the hydrological and meteorological sample data, and the key features include one or more of periodic features, trend features, and geographical location features; Determine hydrological and meteorological abnormal data according to the abnormal data detection result obtained, wherein the hydrological and meteorological abnormal data includes discrete abnormal data and continuous abnormal data; A hydrological and meteorological log record is generated based on the real-time hydrological and meteorological data and the hydrological and meteorological abnormal data.

10. A hydrological and meteorological data management device for an offshore photovoltaic project, characterized in that: include: A real-time data acquisition module is used to obtain the real-time hydrological and meteorological data in the offshore photovoltaic field in real time according to the pre-configured hydrological and meteorological elements by the hydrological and meteorological acquisition equipment; An abnormal data detection module is used to obtain a pre-trained abnormal data detection model, and perform abnormal data detection processing on the hydrological and meteorological real-time data through the abnormal data detection model to obtain an abnormal data detection result, wherein the abnormal data detection model is trained based on key features of the hydrological and meteorological sample data, and the key features include one or more of periodic features, trend features and geographical location features; A detection result determination module, used to determine hydrological and meteorological abnormal data according to the obtained abnormal data detection results, wherein the hydrological and meteorological abnormal data includes discrete abnormal data and continuous abnormal data; A log record generation module is used to generate a hydrological and meteorological log record based on the real-time hydrological and meteorological data and the hydrological and meteorological abnormal data.

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