Power flow prediction method and device, electronic equipment and storage medium

Abstract

The invention provides a power flow prediction method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring actually-measured meteorological data and actually-measured tidal current data of a to-be-measured station in at least one time period before a prediction time period; determining first astronomical tide data of the to-be-measured station in at least one previous time period based on the actually-measured meteorological data and the actually-measured tide data; according to the first astronomical tide data, determining second astronomical tide data of the to-be-measured station in the prediction time period; and obtaining predicted meteorological data of the to-be-measured station in the prediction time period, and determining predicted tidal current data of the to-be-measured station in the prediction time period based on the predicted meteorological data and the second astronomical tide data. According to the invention, the timeliness of tide forecasting can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of tidal current forecast data processing, and in particular to a tidal current forecasting method, device, electronic equipment and storage medium. Background Art

[0002] With the development of port channels, the demand for tidal forecasts in port channels has increased significantly, especially the need for short-term rapid forecast products similar to the "weather forecast" model, which provides important reference for channel maintenance, ship navigation, marine environmental protection, safety assurance and port channel engineering management.

[0003] In the related technologies, most of them use numerical simulation to calculate the flow, so as to predict the flow data and make flow forecast. However, the calculation efficiency of numerical simulation is low and the cycle is long, which leads to the forecast cycle being unable to meet the needs of short-term rapid forecast and is not suitable for practical application. Summary of the invention

[0004] The embodiments of the present invention provide a power flow prediction method, device, electronic device and storage medium to improve the timeliness of power flow prediction and achieve the purpose of rapid power flow prediction.

[0005] In a first aspect, an embodiment of the present invention provides a power flow prediction method, comprising: Obtaining measured meteorological data and measured tidal flow data of the site to be measured in at least one time period before the forecast time period; Determine the first astronomical tidal data of the station to be measured in the at least previous time period based on the measured meteorological data and the measured tidal flow data; Determine, according to the first astronomical tide data, the astronomical tide data of the next day of the station to be tested within the prediction time period; The predicted meteorological data of the station to be tested within the predicted time period is obtained, and based on the predicted meteorological data and the second astronomical tide data, the predicted tidal current data of the station to be tested within the predicted time period is determined.

[0006] In a possible implementation, determining the first astronomical tidal data of the station to be measured in the at least previous time period based on the measured meteorological data and the measured tidal flow data includes: Based on the measured meteorological data and a preset comparison table, determining first power flow deviation data corresponding to the measured meteorological data; the preset comparison table contains different meteorological data and their corresponding power flow deviation data; Based on the first tidal current deviation data and the measured tidal current data, first astronomical tidal data of the station to be measured in the at least previous time period is determined.

[0007] In a possible implementation manner, before determining the first power flow deviation data corresponding to the measured meteorological data based on the measured meteorological data and a preset comparison table, the method further includes: Inputting measured meteorological data in multiple time periods into the power flow model to obtain power flow simulation data in multiple time periods output by the power flow model; the power flow model is used to determine the power flow simulation data in the corresponding time period according to the meteorological data in different time periods; Inputting the multiple time periods into the astronomical tide model to obtain astronomical tide simulation data in the multiple time periods output by the astronomical tide model; the astronomical tide model is used to determine the astronomical tide simulation data in the corresponding time period according to different time periods; Determining tidal current deviation data within the plurality of time periods according to differences between tidal current simulation data within the plurality of time periods and astronomical tidal current simulation data within corresponding time periods; The preset comparison table is obtained based on the measured meteorological data in the multiple time periods and the tidal flow deviation data.

[0008] In a possible implementation, determining the second day astronomical tide data of the station to be tested within the prediction time period according to the first astronomical tide data includes: Determine, from the astronomical tide simulation data in the multiple time periods, the astronomical tide simulation data having the smallest difference with the first astronomical tide data, and determine the next time period of the time period corresponding to the astronomical tide simulation data as the target time period; The astronomical tide simulation data corresponding to the target time period is determined as the second-day astronomical tide data corresponding to the tested station in the predicted time period.

[0009] In a possible implementation, determining the predicted tidal current data of the station to be tested within the predicted time period based on the predicted meteorological data and the second astronomical tidal data includes: Based on the predicted meteorological data and the preset comparison table, determining the second power flow deviation data corresponding to the predicted meteorological data; Based on the second tidal current deviation data and the second astronomical tidal data, the predicted tidal current data of the station to be tested within the predicted time period is determined.

[0010] In a possible implementation, the method further includes: Acquire measured tidal current field data of the port channel in multiple time periods; the measured tidal current field data includes measured tidal current data of multiple stations; According to the predicted tidal current data of the test site within the predicted time period, the measured tidal current field data with the smallest difference from the predicted tidal current data is determined from the measured tidal current field data within the multiple time periods, and the measured tidal current field data is determined as the tidal current field data of the port channel within the predicted time period.

[0011] In a possible implementation, obtaining the preset comparison table based on the measured meteorological data and the tidal flow deviation data in the multiple time periods includes: For each time period, the measured meteorological data is analyzed to determine the meteorological characteristics of the time period. The preset comparison table is determined based on the meteorological characteristics in multiple time periods and the tidal current deviation data; the preset comparison table contains meteorological characteristics of different meteorological data and their corresponding tidal current deviation data.

[0012] In a second aspect, an embodiment of the present invention provides a power flow prediction device, comprising: An acquisition module, used to acquire the measured meteorological data and measured tidal flow data of the site to be tested in at least one time period before the forecast time period; Identify modules for: Determine the first astronomical tidal data of the station to be measured in the at least previous time period based on the measured meteorological data and the measured tidal flow data; Determine, according to the first astronomical tide data, the astronomical tide data of the next day of the station to be tested within the prediction time period; The prediction module is used to obtain the predicted meteorological data of the station to be tested within the prediction time period, and determine the predicted tidal current data of the station to be tested within the prediction time period based on the predicted meteorological data and the second astronomical tidal data.

[0013] In a third aspect, an embodiment of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the processor implements the steps of the method described in the first aspect or any possible implementation manner of the first aspect.

[0014] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method described in the first aspect or any possible implementation method of the first aspect are implemented.

[0015] The embodiment of the present invention provides a tidal current prediction method, device, electronic device and storage medium, which determines the astronomical tide data (i.e., the tidal current data of the second day) of the station to be tested in the prediction period through the astronomical tide data (i.e., the tidal current data of the first day) of the station to be tested in at least one time period before the prediction period, and determines the predicted tidal current data of the station to be tested in the prediction period according to the astronomical tide data and predicted meteorological data of the station to be tested in the prediction period, which can effectively improve the timeliness of the tidal current prediction. Among them, in the tidal current prediction process, the embodiment of the present invention performs tidal current prediction according to the astronomical tide law and meteorological data, without the need for complex numerical simulation calculations, which can greatly shorten the tidal current prediction time, improve the timeliness of the tidal current forecast, meet the requirements of the port channel for short-term rapid forecast, and is suitable for practical application. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0017] Figure 1 is a flow chart of the implementation of the power flow prediction method provided by the embodiment of the present invention; Figure 2 is a flowchart for implementing the determination of a preset comparison table provided by an embodiment of the present invention; Figure 3 is a schematic diagram of the structure of a tidal current prediction device provided by an embodiment of the present invention; Figure 4 is a schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0019] In the related art, when forecasting tidal currents for ports and waterways, most of them use numerical simulation to simulate tidal currents, thereby predicting tidal current data and forecasting tidal currents. However, ports and waterways have high requirements for the timeliness of tidal current forecasts, and it is necessary to provide tidal current forecast data within the forecast period in a short time. However, numerical simulation has low computational efficiency and takes a long time, and it is not suitable for practical applications because it cannot provide tidal current forecast data within the forecast period in a short time.

[0020] In order to improve the timeliness of the tidal current forecast, in the implementation of the present application, the astronomical tidal data of the station to be tested in the prediction period is determined by the astronomical tidal data of the station to be tested in at least the previous time period of the prediction period, and the predicted tidal current data of the station to be tested in the prediction period is determined according to the astronomical tidal data and the predicted meteorological data of the station to be tested in the prediction period, which can effectively improve the timeliness of the tidal current forecast. Among them, this embodiment takes into account that the tidal current data is obtained by superimposing the tidal current data caused by the astronomical tidal data and the meteorological factors, and the astronomical tidal data is the tidal current data that changes regularly over time. Therefore, the embodiment of the present invention determines the astronomical tidal data in the prediction period according to the astronomical tidal data of at least the previous time period of the prediction period, and on the basis of the astronomical tidal data, considers the influence of the meteorological data, and finally determines the predicted tidal current data in the prediction period. In the process of tidal current forecasting, the embodiment of the present invention performs tidal current forecasting according to the astronomical tidal law and meteorological data, without the need for complex numerical simulation calculations, which can greatly shorten the tidal current forecasting time, improve the timeliness of tidal current forecasting, meet the requirements of the port channel for short-term rapid forecasting, and is suitable for practical application.

[0021] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0022] Figure 1 The implementation flow chart of the power flow prediction method provided by the embodiment of the present invention is detailed as follows: Step 101, obtaining the measured meteorological data and measured tidal flow data of the station to be measured in at least one time period before the predicted time period.

[0023] In this embodiment, the sea area involved in the port channel is relatively large, and multiple observation sites can be deployed to observe the meteorological data and tidal current data at different locations of the port channel. Here, the predicted tidal current data of the station to be tested in the predicted time period is determined by obtaining the measured meteorological data and measured tidal current data of at least one time period before the predicted time period of the station to be tested.

[0024] The measured meteorological data may include but are not limited to wind field data such as wind speed and wind direction. The measured tidal current data may include but are not limited to data such as tide level, flow velocity, flow direction, etc. The wind field data such as wind speed and wind direction act on the sea surface and may affect the tidal current data such as tide level, flow velocity, flow direction, etc.

[0025] Here, the length of the time period can be determined according to actual conditions. In order to ensure the integrity of the tidal current prediction, the length of the time period can be determined according to the length of the tidal cycle in this embodiment. Among them, the length of the time period can be an integer multiple of the length of the tidal cycle. Exemplarily, the length of a complete tidal cycle is about 25 hours, and accordingly, the length of a time period can be 25 hours, 50 hours, or 75 hours, etc. In the embodiment of the present invention, the length of a time period is set to 25 hours.

[0026] Step 102: determining the first astronomical tidal data of the station to be measured in at least a previous time period based on the measured meteorological data and the measured tidal flow data.

[0027] Here, astronomical tide data refers to tidal data under astronomical tide. Astronomical tide is a tidal phenomenon caused by the tidal force of the moon and the sun on the earth's ocean. This tidal phenomenon and its occurrence time have regularity. In other words, astronomical tide data is affected by time and changes regularly over time.

[0028] On the basis of astronomical tide data, the influence of meteorological data on tide data is superimposed to determine the actual tide data. Correspondingly, on the basis of actual tide data, the influence of meteorological data on tide data is deducted to obtain astronomical tide data.

[0029] In some embodiments, when determining the first astronomical tidal data of the site to be tested in at least the previous time period based on the measured meteorological data and the measured tidal flow data, the first tidal flow deviation data corresponding to the measured meteorological data can be first determined based on the measured meteorological data and a preset comparison table, and then the first astronomical tidal data of the site to be tested in at least the previous time period can be determined based on the first tidal flow deviation data and the measured tidal flow data.

[0030] Here, the preset comparison table contains different meteorological data and their corresponding tidal current deviation data. Among them, the tidal current deviation data is used to characterize the difference between the measured tidal current data and the astronomical tidal current data. According to the above, meteorological data is the main factor causing the difference between the measured tidal current data and the astronomical tidal current data. Accordingly, the tidal current deviation data can be used to characterize the degree of influence of meteorological data on tidal current data, and different meteorological data correspond to different tidal current deviation data.

[0031] The embodiment of the present invention can determine the tidal current deviation data corresponding to the measured meteorological data by querying a preset comparison table, and deduct the tidal current deviation data from the measured tidal current data to obtain the first day tidal current data.

[0032] Step 103, determining the cultural tide data of the second day of the site to be tested within the prediction time period according to the cultural tide data of the first day.

[0033] Here, considering the characteristic that astronomical tide data changes regularly over time, the embodiment of the present invention can determine the second day astronomical tide data of the station to be tested in the predicted time period based on the first astronomical tide data of the station to be tested in at least the previous time period of the predicted time period.

[0034] Step 104, obtaining the predicted meteorological data of the station to be tested within the predicted time period, and determining the predicted tidal current data of the station to be tested within the predicted time period based on the predicted meteorological data and the second astronomical tidal data.

[0035] According to the above, on the basis of the astronomical tide data, the influence of the meteorological data on the tide data is superimposed to determine the actual tide data. Therefore, the embodiment of the present invention can determine the influence of the predicted meteorological data on the tide data according to the predicted meteorological data, and on the basis of the astronomical tide data of the next day, the influence of the meteorological data on the tide data is superimposed to determine the predicted tide data.

[0036] In some embodiments, when determining the predicted tidal current data of the station to be tested within the predicted time period, the second tidal current deviation data corresponding to the predicted meteorological data can be first determined based on the predicted meteorological data and a preset comparison table; then, based on the second tidal current deviation data and the second astronomical tidal data, the predicted tidal current data of the station to be tested within the predicted time period is determined.

[0037] Here, according to the predicted meteorological data of the station to be tested in the predicted time period, the second tidal current deviation data can be determined from the preset comparison table, wherein the second tidal current deviation data can be used to characterize the difference between the astronomical tidal data and the predicted tidal current data in the predicted time period.

[0038] In the embodiment of the present invention, the second tidal current deviation data can be superimposed on the second day's tidal current data, and the superimposed data can be determined as the predicted tidal current data of the station to be tested within the predicted time period.

[0039] The embodiment of the present invention can determine the first day astronomical tide data of the station to be tested in at least one time period before the prediction time period through the measured meteorological data and measured tidal current data of the station to be tested in the above-mentioned at least one time period before the prediction time period; then, according to the first day astronomical tide data, the second day astronomical tide data of the station to be tested in the prediction time period can be determined; then, according to the predicted meteorological data and the second astronomical tide data of the station to be tested in the prediction time period, the predicted tidal current data of the station to be tested in the prediction time period is determined, so as to quickly predict the predicted tidal current data. Among them, the embodiment of the present invention performs tidal current prediction based on astronomical tide laws and meteorological data, without the need for complex numerical simulation calculations, which can greatly shorten the tidal current prediction time and improve the timeliness of tidal current forecasts.

[0040] The following is an introduction to the method of determining the preset comparison table. Figure 2 As shown, when determining the preset comparison table, the following steps are mainly included: Step 201, inputting measured meteorological data in multiple time periods into a power flow model to obtain power flow simulation data in multiple time periods output by the power flow model. The power flow model is used to determine the power flow simulation data in the corresponding time period according to the meteorological data in different time periods.

[0041] This embodiment can establish a tidal current model according to the tidal current mathematical modeling method. The specific modeling method can be found in the "Numerical Simulation Specifications for Water Transport Engineering", which will not be described in detail here. By using the measured meteorological data and measured tidal current data in different time periods, the model parameters of the tidal current model can be optimized and adjusted until the deviation between the tidal current simulation data output by the tidal current model and the corresponding measured tidal current data is within the preset error range, thereby obtaining an optimized tidal current model.

[0042] Here, the years with continuous, sufficient and close measured data can be divided into multiple time periods, and the measured meteorological data in the multiple time periods are input into the optimized power flow model to obtain the corresponding power flow simulation data in the multiple time periods, so that the power flow deviation data can be determined based on the power flow simulation data. The measured data includes measured meteorological data and measured power flow data.

[0043] Step 202: Input multiple time periods into the astronomical tide model to obtain astronomical tide simulation data in multiple time periods output by the astronomical tide model. The astronomical tide model is used to determine the astronomical tide simulation data in the corresponding time period according to different time periods.

[0044] Here, the astronomical tide model is essentially also a tidal current model. The astronomical tide model is mainly used to reflect the mapping relationship between different time periods and their corresponding astronomical tide data. It can be understood that when the influence of meteorological data on tidal current data is ignored, the astronomical tide data is the tidal current data. Among them, the wind field data such as wind speed and wind direction can have an impact on the tidal current data. Accordingly, when optimizing the astronomical tide model, the astronomical tide model can be optimized and adjusted based on different time periods in a windless scene and their corresponding measured tidal current data until the deviation between the measured tidal current data and the astronomical tide data is within the error range, and the optimized astronomical tide data is obtained.

[0045] In the embodiment of the present invention, the meteorological data in the multiple time periods input into the tidal model are ignored, and only the multiple time periods are input into the astronomical tidal model, so that the astronomical tidal simulation data in the corresponding time periods can be correspondingly determined.

[0046] In addition, the astronomical tide simulation data in multiple time periods can form a database, so that astronomical tide prediction can be performed later based on the astronomical tide simulation data in different time periods in the database.

[0047] Step 203, determining tidal deviation data in a plurality of time periods according to the differences between the tidal simulation data in a plurality of time periods and the astronomical tidal simulation data in the corresponding time periods.

[0048] Here, the phase difference between the tidal simulation data and the corresponding astronomical tide simulation data, the increase or decrease in water after phase correction, and the tidal range can be determined as tidal deviation data to characterize the difference between the tidal simulation data and the astronomical tide simulation data.

[0049] Step 204, obtaining a preset comparison table based on the measured meteorological data and tidal flow deviation data in multiple time periods.

[0050] Here, the preset comparison table can be determined based on the measured meteorological data in different time periods and their corresponding tidal current deviation data.

[0051] In some embodiments, when a preset comparison table is obtained based on the measured meteorological data and the tidal current deviation data in multiple time periods, for the measured meteorological data in each time period, a feature analysis can be performed on the measured meteorological data in the time period to determine the meteorological features in the time period; then, based on the meteorological features and the tidal current deviation data in the multiple time periods, a preset comparison table is determined. Here, the preset comparison table contains meteorological features of different meteorological data and their corresponding tidal current deviation data.

[0052] In an embodiment of the present invention, considering that the meteorological data in a time period is too complex, the features of the measured meteorological data in each time period can be extracted respectively to obtain meteorological features for characterizing the meteorological data in the time period, so as to streamline the data and avoid occupying too many resources.

[0053] The meteorological data in the embodiment of the present invention mainly include wind field data such as wind speed and wind direction that can affect the tidal flow data. The embodiment of the present invention mainly adopts strong wind level, effective wind energy, and strong wind process characteristic values ​​to characterize the meteorological characteristics of the above wind field data. Among them, the strong wind process characteristic values ​​mainly include strong wind time and strong wind level process line.

[0054] Here, the effective wind energy can be calculated by the following formula:

[0055] in, represents the effective wind energy, The coefficient is 0.02~0.03 according to the existing experimental observation data. represents the wind friction coefficient, represents the air density, , , , They represent wind speeds of level 6, level 7, level 8, and level 9, respectively. , , , They represent the wind time corresponding to level 6 wind, level 7 wind, level 8 wind, and level 9 wind respectively. Represents the critical wind time. For example, the critical wind time may be 2 hours.

[0056] The embodiment of the present application divides the years with continuous, sufficient and relatively close measured data into multiple time periods in sequence, and based on the measured meteorological data, astronomical tide models and tidal current models in the multiple time periods, it is possible to determine the tidal current simulation data and astronomical tide simulation data in the corresponding time periods, and then determine the tidal current deviation data, which is used to characterize the degree of influence of meteorological data on tidal current data.

[0057] Based on the astronomical tide simulation data obtained in multiple time periods as described above, the embodiment of the present invention can perform astronomical tide prediction based on the astronomical tide simulation data in multiple time periods and the time series relationship in each time period to determine the second day astronomical tide data of the tested station within the predicted time period.

[0058] In some embodiments, when determining the second day's tidal data for the station to be tested within the predicted time period, the astronomical tidal simulation data with the smallest difference from the first day's tidal data can be first determined from the astronomical tidal simulation data within multiple time periods, and the next time period of the time period corresponding to the astronomical tidal simulation data can be determined as the target time period; then, the astronomical tidal simulation data corresponding to the target time period is determined as the second day's tidal data corresponding to the station to be tested in the predicted time period.

[0059] Here, the above-mentioned multiple time periods can be divided in sequence from the years with continuous and sufficient measured meteorological data and relatively close in time, and there is a time series relationship between the time periods. And the astronomical tide data changes regularly over time. Accordingly, the embodiment of the present invention can determine the astronomical tide simulation data with the smallest difference from the first day's tidal data from the astronomical tide simulation data in multiple time periods, and determine the next time period of the time period corresponding to the astronomical tide simulation data as the target time period, and then determine the second day's tidal data.

[0060] Astronomical tide simulation data can usually be expressed in the form of a tidal curve. When determining the astronomical tide simulation data with the smallest difference from the first day's literary tide, we can first determine the astronomical tide simulation data with the same tidal type as the first day's literary tide data based on the shape of the tidal curve. Then, we can use the least squares method to determine the astronomical tide simulation data with the smallest difference from the above astronomical tide simulation data with the same tidal type.

[0061] The embodiment of the present invention can determine the predicted tidal current data of the station to be tested in the predicted time period through the measured meteorological data and the measured tidal current data of the station to be tested in at least one time period before the predicted time period. Considering that the sea area involved in the port channel contains many observation stations, and the predicted tidal current data of each station are not the same, the embodiment of the present invention can further predict the tidal current field data of the entire port channel in the predicted time period on the basis of determining the predicted tidal current data of the station to be tested in the predicted time period.

[0062] In some embodiments, when predicting the tidal field data of the entire port channel within the prediction time period, the measured tidal field data of the port channel within multiple time periods can be obtained first; then, based on the predicted tidal data of the station to be measured within the prediction time period, the measured tidal field data with the smallest difference from the predicted tidal data is determined from the measured tidal field data within multiple time periods, and the measured tidal field data is determined as the tidal field data of the port channel within the prediction time period.

[0063] Among them, the measured tidal field data is used to characterize the tidal data corresponding to the entire port channel; it contains measured tidal data of multiple stations.

[0064] Here, the measured tidal field data in each time period includes the measured tidal field data of each observation station in the port channel in the time period. The embodiment of the present invention determines the measured tidal field data with the smallest difference from the predicted tidal field data from the measured tidal field data of the measured station in the above multiple time periods based on the predicted tidal field data of the measured station in the predicted time period, and determines the measured tidal field data in the time period corresponding to the measured tidal field data as the tidal field data of the port channel in the predicted time period.

[0065] The above-mentioned predicted tidal current data and measured tidal current data can both be expressed in the form of tidal curves. When determining the measured tidal current data with the smallest difference from the predicted tidal current data, the measured tidal current data with the same tidal type as the predicted tidal current data can be determined first according to the shape of the tidal current curve, and then the measured tidal current data with the smallest difference can be determined from the measured tidal current data with the same tidal type using the least squares method. Finally, the measured tidal current field data in the time period corresponding to the measured tidal current data with the smallest difference is determined as the tidal current field data of the port channel in the predicted time period.

[0066] When predicting the tidal field of a port channel, the embodiment of the present invention does not need to perform numerical simulation calculations, consumes less computing power, and can quickly obtain the prediction results. The prediction results can also be quickly updated according to new measured values ​​as time goes by. Therefore, compared with using mathematical models to predict the tidal field, it has a significant advantage in prediction speed.

[0067] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0068] The following is an embodiment of the device of the present invention. For details not described in detail therein, reference may be made to the corresponding method embodiment described above.

[0069] Figure 3 The schematic diagram of the structure of the tidal current prediction device provided by the embodiment of the present invention is shown. For the convenience of explanation, only the part related to the embodiment of the present invention is shown, which is described in detail as follows: like Figure 3 As shown, the power flow prediction device 3 includes: an acquisition module 31 , a determination module 32 and a prediction module 33 .

[0070] An acquisition module 31 is used to acquire the measured meteorological data and the measured tidal flow data of the station to be tested in at least one time period before the predicted time period; The determination module 32 is used to: Based on the measured meteorological data and the measured tidal current data, determining the first tidal current data of the station to be measured in at least a previous time period; According to the Wenchao data of the first day, determine the Wenchao data of the second day of the tested site within the prediction time period; The prediction module 33 is used to obtain the predicted meteorological data of the station to be tested within the prediction time period, and determine the predicted tidal current data of the station to be tested within the prediction time period based on the predicted meteorological data and the second astronomical tidal data.

[0071] In a possible implementation, the determination module 32 is specifically configured to: Based on the measured meteorological data and a preset comparison table, determining the first power flow deviation data corresponding to the measured meteorological data; the preset comparison table includes different meteorological data and their corresponding power flow deviation data; Based on the first tidal current deviation data and the measured tidal current data, the first astronomical tidal current data of the station to be measured in at least a previous time period is determined.

[0072] In a possible implementation, the determination module 32 is further configured to: The measured meteorological data in multiple time periods are input into the power flow model to obtain the power flow simulation data in multiple time periods output by the power flow model; the power flow model is used to determine the power flow simulation data in the corresponding time period according to the meteorological data in different time periods; Inputting multiple time periods into the astronomical tide model to obtain astronomical tide simulation data in multiple time periods output by the astronomical tide model; the astronomical tide model is used to determine the astronomical tide simulation data in the corresponding time period according to different time periods; Determining tidal current deviation data in a plurality of time periods according to differences between tidal current simulation data in a plurality of time periods and astronomical tidal current simulation data in a corresponding time period; Based on the measured meteorological data and tidal current deviation data in multiple time periods, a preset comparison table is obtained.

[0073] In a possible implementation, the determination module 32 is specifically configured to: Determine, from the astronomical tide simulation data in multiple time periods, the astronomical tide simulation data with the smallest difference from the first day astronomical tide data, and determine the next time period of the time period corresponding to the astronomical tide simulation data as the target time period; The astronomical tide simulation data corresponding to the target time period is determined as the astronomical tide data of the next day corresponding to the predicted time period at the station to be tested.

[0074] In a possible implementation, the prediction module 33 is specifically configured to: Based on the predicted meteorological data and a preset comparison table, determining the second power flow deviation data corresponding to the predicted meteorological data; Based on the second tidal current deviation data and the second astronomical tidal current data, the predicted tidal current data of the station to be tested within the predicted time period is determined.

[0075] In a possible implementation, the prediction module 33 is further configured to: Obtain the measured tidal field data of the port channel in multiple time periods; the measured tidal field data includes the measured tidal data of multiple stations; According to the predicted tidal current data of the station to be tested within the predicted time period, the measured tidal current field data with the smallest difference from the predicted tidal current data is determined from the measured tidal current field data within multiple time periods, and the measured tidal current field data is determined as the tidal current field data of the port channel within the predicted time period.

[0076] In a possible implementation, the determination module 32 is specifically configured to: For each time period, the measured meteorological data is analyzed to determine the meteorological characteristics of the time period. Based on the meteorological characteristics and tidal current deviation data in multiple time periods, a preset comparison table is determined; the preset comparison table contains meteorological characteristics of different meteorological data and their corresponding tidal current deviation data.

[0077] The power flow prediction device provided in this embodiment can be used to execute the above method embodiments. Its implementation principle and technical effects are similar, and this embodiment will not be repeated here.

[0078] Figure 4 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 4 As shown, the electronic device 4 of this embodiment includes: a processor 40, a memory 41, and a computer program 42 stored in the memory 41 and executable on the processor 40. When the processor 40 executes the computer program 42, the steps in the above-mentioned various power flow prediction method embodiments are implemented, such as Figure 1 Alternatively, when the processor 40 executes the computer program 42, the functions of each module / unit in the above-mentioned device embodiments are implemented, for example Figure 3 The functions of the modules 31 to 33 are shown.

[0079] Exemplarily, the computer program 42 may be divided into one or more modules / units, one or more modules / units are stored in the memory 41 and executed by the processor 40 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program 42 in the electronic device 4. For example, the computer program 42 may be divided into Figure 3 Modules 31 to 33 are shown.

[0080] The electronic device 4 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The electronic device 4 may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will appreciate that Figure 4 It is only an example of the electronic device 4 and does not constitute a limitation of the electronic device 4. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0081] The processor 40 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0082] The memory 41 may be an internal storage unit of the electronic device 4, such as a hard disk or memory of the electronic device 4. The memory 41 may also be an external storage device of the electronic device 4, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the electronic device 4. The memory 41 is used to store computer programs and other programs and data required by the electronic device. The memory 41 may also be used to temporarily store data that has been output or is to be output.

[0083] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0084] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0085] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0086] In the embodiments provided by the present invention, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0087] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0088] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0089] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of the above-mentioned various power flow prediction method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. Computer-readable media can include: any entity or device that can carry computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A power flow prediction method, characterized in that: include: Obtaining the measured meteorological data and the measured tidal flow data of the site to be measured in at least one time period before the forecast time period; Determining first astronomical tidal data of the station to be measured in the at least previous time period based on the measured meteorological data and the measured tidal flow data; Determine the tidal data of the next day of the station to be tested within the prediction time period according to the first tidal data; The predicted meteorological data of the station to be tested within the predicted time period is obtained, and based on the predicted meteorological data and the second astronomical tide data, the predicted tidal current data of the station to be tested within the predicted time period is determined.

2. The power flow prediction method according to claim 1, characterized in that: The determining, based on the measured meteorological data and the measured tidal current data, the first astronomical tidal current data of the station to be measured in the at least previous time period comprises: Based on the measured meteorological data and a preset comparison table, determining first power flow deviation data corresponding to the measured meteorological data; the preset comparison table contains different meteorological data and their corresponding power flow deviation data; Based on the first tidal current deviation data and the measured tidal current data, first astronomical tidal data of the station to be measured in the at least previous time period is determined.

3. The power flow prediction method according to claim 2, characterized in that: Before determining the first power flow deviation data corresponding to the measured meteorological data based on the measured meteorological data and the preset comparison table, the method further includes: Inputting measured meteorological data in multiple time periods into the power flow model to obtain power flow simulation data in multiple time periods output by the power flow model; the power flow model is used to determine the power flow simulation data in the corresponding time period according to the meteorological data in different time periods; Inputting the multiple time periods into the astronomical tide model to obtain astronomical tide simulation data in the multiple time periods output by the astronomical tide model; the astronomical tide model is used to determine the astronomical tide simulation data in the corresponding time period according to different time periods; Determining tidal current deviation data within the plurality of time periods according to differences between tidal current simulation data within the plurality of time periods and astronomical tidal current simulation data within corresponding time periods; The preset comparison table is obtained based on the measured meteorological data in the multiple time periods and the tidal flow deviation data.

4. The power flow prediction method according to claim 3, characterized in that: The step of determining the second day tidal data of the station to be tested within the prediction time period according to the first tidal data includes: Determine, from the astronomical tide simulation data in the multiple time periods, the astronomical tide simulation data having the smallest difference with the first astronomical tide data, and determine the next time period of the time period corresponding to the astronomical tide simulation data as the target time period; The astronomical tide simulation data corresponding to the target time period is determined as the second-day astronomical tide data corresponding to the tested station in the predicted time period.

5. The power flow prediction method according to any one of claims 2 to 4, characterized in that: The step of determining the predicted tidal current data of the station to be tested within the predicted time period based on the predicted meteorological data and the second astronomical tidal data includes: Based on the predicted meteorological data and the preset comparison table, determining the second power flow deviation data corresponding to the predicted meteorological data; Based on the second tidal current deviation data and the second astronomical tidal data, the predicted tidal current data of the station to be tested within the predicted time period is determined.

6. The power flow prediction method according to any one of claims 1 to 4, characterized in that: The method further comprises: Acquire measured tidal current field data of the port channel in multiple time periods; the measured tidal current field data includes measured tidal current data of multiple stations; According to the predicted tidal current data of the test site within the predicted time period, the measured tidal current field data with the smallest difference from the predicted tidal current data is determined from the measured tidal current field data within the multiple time periods, and the measured tidal current field data is determined as the tidal current field data of the port channel within the predicted time period.

7. The power flow prediction method according to claim 3 or 4, characterized in that: Based on the measured meteorological data and the tidal current deviation data in the multiple time periods, the preset comparison table is obtained, including: For each time period, the measured meteorological data is analyzed to determine the meteorological characteristics of the time period. The preset comparison table is determined based on the meteorological characteristics in multiple time periods and the tidal current deviation data; the preset comparison table contains meteorological characteristics of different meteorological data and their corresponding tidal current deviation data.

8. A tidal current prediction device, characterized in that: include: An acquisition module, used to acquire the measured meteorological data and measured tidal flow data of the site to be tested in at least one time period before the forecast time period; Identify modules for: Determining first astronomical tidal data of the station to be measured in the at least previous time period based on the measured meteorological data and the measured tidal flow data; Determine the tidal data of the next day of the station to be tested within the prediction time period according to the first tidal data; The prediction module is used to obtain the predicted meteorological data of the station to be tested within the prediction time period, and determine the predicted tidal current data of the station to be tested within the prediction time period based on the predicted meteorological data and the second astronomical tidal data.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the power flow prediction method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the power flow prediction method as described in any one of claims 1 to 7 are implemented.

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