Hydro-meteorological intelligent forecast management method and system

Abstract

The invention provides a hydro meteorology intelligent forecast management method and system. The method comprises the following steps: S1, acquiring hydro meteorology coupling forecast information; s2, on the basis of the drainage basin flow prediction model, according to the hydro-meteorological coupling forecast information, performing drainage basin flow prediction on the hydropower station; and S3, the auxiliary user performs operation management on the hydropower station based on the drainage basin flow prediction result. According to the method, the watershed flow prediction is carried out on the hydropower station based on the watershed flow prediction model according to the hydro-meteorological coupling prediction information, the hydro-meteorological coupling prediction information is more comprehensive than basic watershed weather prediction information, the watershed flow prediction accuracy is improved, manual prediction is not needed, and the labor cost is reduced; the method assists the user in performing operation management on the hydropower station based on the drainage basin flow prediction result, assists the user in performing operation management on the hydropower station, further reduces the labor cost, and improves the efficiency of hydropower station operation management.

Description

Technical Field

[0001] The present invention relates to the technical field of hydrological and meteorological intelligent forecasting management, and in particular to a hydrological and meteorological intelligent forecasting management method and system. Background Art

[0002] At present, in order to carry out operation management of hydropower stations in advance, it is necessary to predict the basin flow of hydropower stations and implement it based on the basin flow prediction results.

[0003] However, traditional basin flow prediction methods are mostly based on basic basin weather forecast information and require manual implementation by multiple staff members. In addition, traditional operation and management methods require staff to manually manage the operation of hydropower stations based on the basin flow prediction results after the basin flow prediction is completed. Therefore, the overall labor cost is large, which reduces the efficiency of basin flow prediction and even reduces the efficiency of hydropower station operation and management.

[0004] Therefore, a solution is urgently needed. Summary of the invention

[0005] One of the purposes of the present invention is to provide a hydrological and meteorological intelligent forecasting management method, which is based on a watershed flow prediction model and performs watershed flow prediction for a hydropower station according to the hydrological and meteorological coupling forecast information. The hydrological and meteorological coupling forecast information is more comprehensive than the basic watershed weather forecast information, thereby improving the accuracy of watershed flow prediction and eliminating the need for manual prediction, thereby reducing labor costs. It assists users in operating and managing hydropower stations based on the watershed flow prediction results, assisting users in operating and managing hydropower stations, thereby further reducing labor costs and improving the efficiency of hydropower station operation and management.

[0006] An embodiment of the present invention provides a hydrological and meteorological intelligent forecast management method, comprising: Obtain hydrological and meteorological coupled forecast information; Based on the basin flow prediction model and the hydro-meteorological coupling forecast information, basin flow prediction for hydropower stations is carried out; Assist users to manage the operation of hydropower stations based on basin flow prediction results.

[0007] Optionally, the hydro-meteorological coupled forecast information includes at least: information on hydro-meteorological forecasting by coupling numerical weather forecasting with a land surface hydrological model.

[0008] Optionally, the steps for constructing the watershed flow prediction model are as follows: Based on big data technology, mine target multi-source data; Preprocess the target multi-source data; Based on the preprocessing results, the basin flow prediction model is trained.

[0009] Optionally, the auxiliary user performs operation management of the hydropower station based on the basin flow prediction result, including: Visualize the basin flow prediction results to obtain a visualization model; Displaying a visual model to the user; Based on the viewing history of the visualization model by the user, a plurality of decision basis source areas are divided from the visualization model; When the set of regional attribute relationships between the decision basis source areas meets at least one timing condition in the timing condition library, if the user uses the virtual selector to select the first target basis content from the decision basis source area, and the user continues to use the virtual selector to move in the first unique direction at a moving speed exceeding the first speed threshold, and moves a distance reaching the first distance threshold, activate the moving filter boxes of other decision basis source areas from which the first target basis content is not selected; Determine the target decision basis source area from other decision basis source areas; Based on the correlation degree library of the timing conditions that the regional attribute relationship set meets, determining the correlation degree between each of the plurality of candidate basis contents in the target decision basis source area and the first target basis content; Generate a content selection table; Set the content selection table in the mobile filter frame of the target decision basis source area; If the user continues to use the virtual selector to move in the second only direction at a moving speed that does not exceed the second speed threshold, the control based on the content selection table starts to indicate the first to-be-selected based content to be selected, and whenever the user continues to use the virtual selector to move in the second only direction for a distance reaching the second distance threshold, the control based on the content selection table continues to indicate the next to-be-selected based content to be selected; When the time duration for which the user stops moving the virtual selector exceeds a time threshold, the to-be-selected basis content currently indicated in the to-be-selected table is used as the second target basis content; Based on the suggestion knowledge base, according to the first target basis content and the second target basis content, provide management decision suggestions to the user; When the user completes the management strategy based on the management decision suggestion, the hydropower station is operated and managed accordingly based on the management strategy.

[0010] Optionally, the area difference between the two regions into which the target decision is divided by the moving filter box of the source area does not exceed an area difference threshold value.

[0011] Optionally, the content to be selected is displayed in the content selection table in order from the first direction to the second direction according to the relevance from large to small; The steps for determining the first direction are as follows: Constructing a movement vector based on the moving starting point and the first unique direction of the virtual selector when the user uses the virtual selector to select the first target basis content from the decision basis source area; When the horizontal component of the motion vector exceeds the vertical component of the motion vector, the vertical upward direction is taken as the first direction; otherwise, the horizontal leftward direction is taken as the first direction; The second direction is the opposite direction of the first direction.

[0012] Optionally, based on the viewing history of the user viewing the visualization model, a plurality of decision basis source areas are divided from the visualization model, including: Perform a time-series representation of the viewing history to obtain a sequence of historical items; Determine a plurality of history item clusters from the history item sequence; wherein each history item cluster satisfies the cluster constraint; Based on the division rules of the cluster constraints that each historical item cluster complies with, a plurality of decision basis source areas are divided from the visualization model according to each historical item cluster.

[0013] An embodiment of the present invention provides a hydrological and meteorological intelligent forecast management system, comprising: An acquisition module is used to obtain hydrological and meteorological coupled forecast information; The prediction module is used to predict the flow rate of a hydropower station based on the watershed flow prediction model and the hydro-meteorological coupling forecast information; The management module is used to assist users in operating and managing hydropower stations based on basin flow prediction results.

[0014] Optionally, the hydro-meteorological coupled forecast information includes at least: information on hydro-meteorological forecasting by coupling numerical weather forecasting with a land surface hydrological model.

[0015] Optionally, the steps for constructing the watershed flow prediction model are as follows: Based on big data technology, mine target multi-source data; Preprocess the target multi-source data; Based on the preprocessing results, the basin flow prediction model is trained.

[0016] Optionally, the management module assists the user in operating and managing the hydropower station based on the basin flow prediction result, including: Visualize the basin flow prediction results to obtain a visualization model; Displaying a visual model to the user; Based on the viewing history of the visualization model by the user, a plurality of decision basis source areas are divided from the visualization model; When the set of regional attribute relationships between the decision basis source areas meets at least one timing condition in the timing condition library, if the user uses the virtual selector to select the first target basis content from the decision basis source area, and the user continues to use the virtual selector to move in the first unique direction at a moving speed exceeding the first speed threshold, and moves a distance reaching the first distance threshold, activate the moving filter boxes of other decision basis source areas from which the first target basis content is not selected; Determine the target decision basis source area from other decision basis source areas; Based on the correlation degree library of the timing conditions that the regional attribute relationship set meets, determining the correlation degree between each of the plurality of candidate basis contents in the target decision basis source area and the first target basis content; Generate a content selection table; Set the content selection table in the mobile filter frame of the target decision basis source area; If the user continues to use the virtual selector to move in the second only direction at a moving speed that does not exceed the second speed threshold, the control based on the content selection table starts to indicate the first to-be-selected based content to be selected, and whenever the user continues to use the virtual selector to move in the second only direction for a distance reaching the second distance threshold, the control based on the content selection table continues to indicate the next to-be-selected based content to be selected; When the time duration for which the user stops moving the virtual selector exceeds a time threshold, the to-be-selected basis content currently indicated in the to-be-selected table is used as the second target basis content; Based on the suggestion knowledge base, according to the first target basis content and the second target basis content, provide management decision suggestions to the user; When the user completes the management strategy based on the management decision suggestion, the hydropower station is operated and managed accordingly based on the management strategy.

[0017] Optionally, the area difference between the two regions into which the target decision is divided by the moving filter box of the source area does not exceed an area difference threshold value.

[0018] Optionally, the content to be selected is displayed in the content selection table in order from the first direction to the second direction according to the relevance from large to small; The steps for determining the first direction are as follows: Constructing a movement vector based on the moving starting point and the first unique direction of the virtual selector when the user uses the virtual selector to select the first target basis content from the decision basis source area; When the horizontal component of the motion vector exceeds the vertical component of the motion vector, the vertical upward direction is taken as the first direction; otherwise, the horizontal leftward direction is taken as the first direction; The second direction is the opposite direction of the first direction.

[0019] Optionally, the management module divides a plurality of decision basis source areas from the visualization model based on the viewing history of the user viewing the visualization model, including: Perform a time-series representation of the viewing history to obtain a sequence of historical items; Determine a plurality of history item clusters from the history item sequence; wherein each history item cluster satisfies the cluster constraint; Based on the division rules of the cluster constraints that each historical item cluster complies with, a plurality of decision basis source areas are divided from the visualization model according to each historical item cluster.

[0020] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0021] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 A schematic diagram of a hydrological and meteorological intelligent forecasting management method in an embodiment of the present invention; Figure 2 It is a schematic diagram of a hydrological and meteorological intelligent forecasting management system in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0024] The embodiment of the present invention provides a hydrological and meteorological intelligent forecast management method, such as Figure 1 As shown, including: S1. Obtaining hydrological and meteorological coupled forecast information; S2. Based on the basin flow prediction model and the hydrological and meteorological coupling forecast information, basin flow prediction is performed for the hydropower station; S3, assisting users to manage the operation of hydropower stations based on the basin flow prediction results; The hydro-meteorological coupled forecast information at least includes: information on hydro-meteorological forecasting by coupling numerical weather forecasting with a land surface hydrological model.

[0025] In the above technical scheme, numerical weather forecast refers to high-resolution meteorological forecast data, including at least: precipitation, temperature, air pressure, wind speed, etc., usually from meteorological stations, etc.; land surface hydrological model is a model that simulates the hydrological process in the basin, such as precipitation-runoff model, which can be implemented based on SWAT hydrological model; the coupling mechanism of numerical weather forecast includes: taking numerical weather forecast as input and inputting it into land surface hydrological model, the land surface hydrological model will simulate the hydrological process according to the numerical weather forecast, obtain simulation parameters, such as soil moisture, groundwater level, etc., and will also feed back the simulation parameters to the numerical weather forecast for further optimization forecast; thus, the information of hydrological and meteorological forecasting by coupling numerical weather forecast and land surface hydrological model can be the precipitation, temperature, air pressure, wind speed, soil moisture, groundwater level and optimized forecast results of numerical weather forecast in the basin. The basin flow prediction model can predict the basin flow of hydropower stations according to the hydrological and meteorological coupling forecast information. When the forecast results of river basin flow are obtained, users can conduct operation management of the hydropower station based on the forecast results of river basin flow. During management, scenario analysis can be conducted on future climate change and extreme weather events (such as heavy rains, droughts, etc.), and whether the operation of the hydropower station can cope with them can be evaluated. River basin flow in the next few days, weeks or even months can also be simulated, and reservoir water levels and power generation potential under different scenarios can be predicted.

[0026] This application is based on a watershed flow prediction model and predicts watershed flow for hydropower stations according to the hydro-meteorological coupling forecast information. The hydro-meteorological coupling forecast information is more comprehensive than the basic watershed weather forecast information, which improves the accuracy of watershed flow prediction and eliminates the need for manual prediction, reducing labor costs. It assists users in operating and managing hydropower stations based on the watershed flow prediction results, assists users in operating and managing hydropower stations, further reduces labor costs, and improves the efficiency of hydropower station operation and management.

[0027] In one embodiment, the steps of constructing the watershed flow prediction model are as follows: Based on big data technology, mine target multi-source data; Preprocess the target multi-source data; Based on the preprocessing results, the basin flow prediction model is trained.

[0028] In the above technical solution, the target multi-source data at least includes: The target multi-source data at least includes: a large amount of hydrological and meteorological information and river basin flow information at the same time in history; when preprocessing the target multi-source data, data cleaning can be performed to improve the credibility of the training data; after the preprocessing is completed, the preprocessing results are used as training samples to train the river basin flow prediction model, and the trained river basin flow prediction model can be combined with the training samples according to the hydrological and meteorological coupling forecast information to predict the river basin flow for the hydropower station.

[0029] The embodiment of the present invention mines target multi-source data based on big data, preprocesses the mined target multi-source data, and trains a watershed flow prediction model based on the preprocessing results, thereby improving the comprehensiveness and accuracy of the training of the watershed flow prediction model.

[0030] In one embodiment, the auxiliary user performs operation management of the hydropower station based on the basin flow prediction result, including: S301, visualizing the basin flow prediction results to obtain a visualization model; In S301, the basin flow prediction result at least includes: the flow at different flow monitoring points in the basin of the hydropower station at different times in the future, the precipitation distribution and precipitation intensity distribution in the basin of the hydropower station in the future; when performing visualization processing, based on GIS technology, the basin flow prediction result is displayed in the form of a digital model to obtain a visualization model; in the visualization model, the change trend of the future flow in the basin of the hydropower station, the future water storage change of the reservoir of the hydropower station, etc. can be viewed; S302, displaying a visualization model to a user; In S302, the user may be an operation manager of a hydropower station, etc. When the visualization model is displayed to the user, the user may view it through a display device such as a visualization large screen; S303, dividing a plurality of decision basis source areas from the visualization model based on the viewing history of the user viewing the visualization model; In S303, when the user views the visualization model, a viewing history is generated, which at least includes: the viewing content, viewing time, operations performed during viewing, and operation time of the visualization model viewed by the user; based on the viewing history, a decision basis source area is divided, and the decision basis source area includes the content on which the user makes a decision on the operation and management of the hydropower station; S304: when the set of regional attribute relationships between the decision basis source areas meets at least one timing condition in the timing condition library, if the user uses the virtual selector to select the first target basis content from the decision basis source area, and the user continues to use the virtual selector to move in the first unique direction at a moving speed exceeding the first speed threshold, and moves a distance reaching the first distance threshold, activate the moving filter boxes of other decision basis source areas from which the first target basis content is not selected; In S304, the regional attribute relationship set includes a plurality of regional attribute relationships between source areas of pairwise decision-making basis, and the regional attribute relationship at least includes: the two areas are of the same area type, and there is a decision logic association between the two areas (for example, if a user wants to make a decision on water discharge scheduling of a reservoir, he needs to first check the display area of ​​future water level changes of the reservoir, and then check the location distribution area of ​​the responsible personnel around the reservoir, and finally dispatch the responsible personnel nearby to perform the water discharge operation of the reservoir, then there is a decision logic association between the display area of ​​future water level changes of the reservoir and the location distribution area of ​​the responsible personnel around the reservoir), etc.; the timing condition refers to the use The conditions under which the user can currently make decisions on the operation and management of the hydropower station. For example, if the timing condition is that there is a decision logic association between the user's viewing of the future water level change display area of ​​the reservoir and the location distribution area of ​​the responsible personnel around the reservoir, it means that the user wants to make a decision on the reservoir discharge scheduling, and the user can currently make a decision on the operation and management of the hydropower station; the introduction of the regional attribute relationship set meets the timing condition, and the next step is performed when the regional attribute relationship set meets the timing condition, which reduces the auxiliary resources of the system and improves the accuracy and efficiency of the assistance to the user; the virtual selector can be an operation pointer, etc.; the first goal The basis content is the content that at least one user in the decision basis source area can rely on to make a decision on the operation and management of a hydropower station; confirmation refers to the user confirming the selection through a virtual selector; the first speed threshold represents a faster speed at which the virtual pointer moves; the first distance threshold represents a distance at which the virtual pointer moves a longer distance; the first unique direction is the unique direction in which the virtual pointer continues to move; when the user selects the first target basis content, continues to use the virtual selector to continue to move in the first unique direction at a moving speed exceeding the first speed threshold, and moves a distance reaching the first distance threshold, it means that the user wants to select a content in other decision basis source areas that is used together with the first target basis content as a basis for the operation and management decision of the hydropower station, and the user needs to be assisted to quickly select the content (generally, the area of ​​the hydropower station basin is very large, and the corresponding scope of the constructed visualization model is also large. When the user selects the content, it may be necessary to move the virtual selector a very long distance, which is very inconvenient and reduces the user's hydropower station management decision efficiency, so such assistance is needed), triggering assistance, further reducing system resources, and further improving the accuracy and efficiency of user assistance; S305, determining a target decision basis source area from other decision basis source areas; wherein the area difference between two areas into which a moving filter box of the target decision basis source area is divided by a ray starting from the current moving position of the virtual selector in a first unique direction in which the virtual selector continues to move does not exceed an area difference threshold; In S305, the mobile filter box is a rectangular box that encloses the other decision basis source area in the smallest possible way; the area difference threshold may be, for example, 8 square centimeters; when the ray passes through the mobile filter box, it will be divided into two areas, and if the area difference between the two areas does not exceed the area difference threshold, it means that the ray is close to bisecting the mobile filter box, and it means that the content that the user wants to select is in the other decision basis source area of ​​the mobile filter box, that is, the target decision basis source area; by using the positional relationship between the ray starting from the current moving position of the virtual selector and the first unique direction of continuous movement of the virtual selector and the mobile filter box, it is quickly determined which other decision basis source area the content that the user wants to select comes from, thereby greatly improving the work efficiency of the system; S306, based on the correlation degree library of the timing conditions that the regional attribute relationship set meets, determining the correlation degree between each of the plurality of candidate basis contents in the target decision basis source area and the first target basis content; In S306, the timing condition pre-sets a correlation library, and there are correlations between two different basis contents in the correlation library. The timing condition that the regional attribute relationship set meets represents how the user wants to make a decision on the operation and management of the hydropower station. Based on this, the correlation between each of the candidate basis contents and the first target basis content can be determined. For example: the timing condition represents that the user wants to make a decision on the water discharge scheduling of the reservoir. The first target basis content that has been selected is the water level change of the reservoir in the next 10 hours. If the candidate basis content is the distance ranking between the current person in charge of the reservoir and the reservoir, the correlation between the two is 10. If the candidate basis is the power generation of the hydropower station on that day, the correlation between the two is 0. Therefore, the correlation library can be preset in advance to facilitate the rapid determination of the correlation between each of the multiple candidate basis contents in the target decision basis source area and the first target basis content, thereby improving the work efficiency of the system; S307, generating a basis content selection table; wherein the basis content selection table displays the to-be-selected basis contents in order from the first direction to the second direction according to the relevance from large to small; In S307, the selection criteria contents are displayed in the selection table from the first direction to the second direction according to the relevance from large to small, so that the user can quickly select the selection criteria contents that are more likely to meet his / her selection intention, thereby improving the humanization and the user's hydropower station management decision-making efficiency; S308, setting the content selection table in the mobile filter frame of the target decision basis source area; In S308, when the user wants to select the content in other decision basis source areas, the user will first check the corresponding other decision basis source areas and then move the virtual selector. Therefore, the content selection table can be set in the mobile filter frame of the target decision basis source area, so that the user can directly check it, which improves the humanization; S309, if the user continues to use the virtual selector to move in the second only direction at a moving speed that does not exceed the second speed threshold, the control based on the content selection table starts to indicate the first to-be-selected based content to be selected, and whenever the user continues to use the virtual selector to move in the second only direction for a distance reaching the second distance threshold, the control based on the content selection table continues to indicate the next to-be-selected based content to be selected; In S309, the second speed threshold is a speed representing a slower movement of the virtual pointer; the second unique direction is a unique direction in which the virtual pointer continues to move at this time; the second distance threshold is a distance representing a shorter movement of the virtual pointer; if the user uses the virtual selector to continue to move in the second unique direction at a moving speed not exceeding the second speed threshold, it means that the user knows that the system begins to assist him, and at this time the user can continue to use the virtual selector to select the to-be-selected basis content in the to-be-selected basis selection table through control, first, the to-be-selected basis content is indicated in the to-be-selected basis selection table to be indicated, and the to-be-selected basis content can be displayed in a jumping manner; whenever the user continues to use the virtual selector to move in the second unique direction for a distance of the second distance threshold, the to-be-selected basis content selection table is indicated to be indicated; the second unique direction is different from the first unique direction; S310: when the time duration for which the user stops moving the virtual selector exceeds a time threshold, the to-be-selected basis content currently indicated in the to-be-selected basis selection table is used as the second target basis content; In S310, the duration threshold is a longer duration value representing the duration of the user stopping the movement using the virtual selector; when the duration of the user stopping the movement using the virtual selector exceeds the duration threshold, it indicates that the user confirms the currently indicated to-be-selected basis content and uses it as the second target basis content; S311, based on the suggestion knowledge base, according to the first target basis content and the second target basis content, provide management decision suggestions to the user; In S311, the suggestion knowledge base has management decision suggestions corresponding to different basis contents, and the management decision suggestions can be pre-set based on the expert experience of the hydropower station operation management, etc. Therefore, based on the suggestion knowledge base, management decision suggestions can be made to the user according to the first target basis content and the second target basis content, so as to achieve further assistance to the user; S312. When the user completes the management strategy based on the management decision suggestion, the hydropower station is operated and managed accordingly based on the management strategy.

[0031] In S312, after viewing the management decision suggestions, the user will start to make management decisions based on the management decision suggestions, and finally complete the management strategy. Based on the management strategy, the hydropower station will be operated and managed accordingly.

[0032] When the various technical steps of the embodiment of the present invention work together, the following beneficial effects are achieved: After the user selects the first target basis content, the system will assist him / her in quickly selecting the second target basis content at the most appropriate time, improving convenience and being more humane; after selecting the second target basis content, the system will give management decision suggestions to provide further assistance.

[0033] In one embodiment, the steps of determining the first direction are as follows: Constructing a movement vector based on the moving starting point and the first unique direction of the virtual selector when the user uses the virtual selector to select the first target basis content from the decision basis source area; When the horizontal component of the motion vector exceeds the vertical component of the motion vector, the vertical upward direction is taken as the first direction; otherwise, the horizontal leftward direction is taken as the first direction; The second direction is the opposite direction of the first direction.

[0034] In the above technical solution, a plane rectangular coordinate system is established with the moving starting point as the origin, the horizontal direction as the x-axis, and the vertical direction as the y-axis. The moving vector can be expressed as (x, y) in the plane rectangular coordinate system, wherein x and y are the projection lengths of the moving vector on the x-axis and the y-axis respectively; the horizontal component of the moving vector is the absolute value of x, and the vertical component of the moving vector is the absolute value of y; when the horizontal component of the moving vector exceeds the vertical component of the moving vector, it means that the movement of the virtual selector is closer to horizontal movement, then according to the content selection table, it is necessary to indicate the candidates in the vertical direction from top to bottom; otherwise, it is necessary to indicate the candidates in the horizontal direction from left to right.

[0035] The embodiment of the present invention reasonably determines the first direction and the second direction, so that when the user views the content selection table, the user can select each candidate content along the most appropriate candidate direction according to the content selection table.

[0036] In one embodiment, the method of dividing a plurality of decision basis source areas from the visualization model based on the viewing history of the user viewing the visualization model includes: Perform a time-series representation of the viewing history to obtain a sequence of historical items; Determine a plurality of history item clusters from the history item sequence; wherein each history item cluster satisfies the cluster constraint; Based on the division rules of the cluster constraints that each historical item cluster complies with, a plurality of decision basis source areas are divided from the visualization model according to each historical item cluster.

[0037] In the above technical scheme, when the viewing history is represented in time series, the viewing history is split into multiple history items, and each history item is sorted in the order of the time when the history was generated to obtain a history item sequence; multiple groups of one-to-one corresponding cluster constraints and division rules are set, and when there is a history item cluster that meets the cluster constraint in the history item sequence, the decision basis source area is divided according to the corresponding history item cluster based on the corresponding division rule. For example: the cluster constraint is that each history item in the same history item cluster reflects that the user pays attention to the same model area in the visualization model for more than 10 minutes, which means that the user may want to select a decision basis from it, and the corresponding division rule is to divide the model area into the decision basis source area.

[0038] The embodiment of the present invention introduces cluster constraints and division rules to quickly determine multiple historical item clusters from a historical item sequence, and based on the division rules of the cluster constraints that each historical item cluster complies with, divides multiple decision basis source areas from the visualization model according to each historical item cluster, thereby improving the division accuracy and efficiency of the decision basis source areas.

[0039] The embodiment of the present invention provides a hydrological and meteorological intelligent forecast management system, such as Figure 2 As shown, including: Acquisition module 1, used to obtain hydrological and meteorological coupled forecast information; Prediction module 2 is used to predict the flow rate of a hydropower station based on the flow rate prediction model of the watershed and the hydro-meteorological coupling forecast information; Management module 3 is used to assist users in operating and managing the hydropower station based on the basin flow prediction results.

[0040] The hydrological and meteorological coupled forecast information at least includes: information on hydrological and meteorological forecasting by coupling numerical weather forecasting with a land surface hydrological model.

[0041] The steps for constructing the watershed flow prediction model are as follows: Based on big data technology, mine target multi-source data; Preprocess the target multi-source data; Based on the preprocessing results, the basin flow prediction model is trained.

[0042] The management module 3 assists the user in operating and managing the hydropower station based on the basin flow prediction results, including: Visualize the basin flow prediction results to obtain a visualization model; Displaying a visual model to the user; Based on the viewing history of the visualization model by the user, a plurality of decision basis source areas are divided from the visualization model; When the set of regional attribute relationships between the decision basis source areas meets at least one timing condition in the timing condition library, if the user uses the virtual selector to select the first target basis content from the decision basis source area, and the user continues to use the virtual selector to move in the first unique direction at a moving speed exceeding the first speed threshold, and moves a distance reaching the first distance threshold, activate the moving filter boxes of other decision basis source areas from which the first target basis content is not selected; Determine the target decision basis source area from other decision basis source areas; Based on the correlation degree library of the timing conditions that the regional attribute relationship set meets, determining the correlation degree between each of the plurality of candidate basis contents in the target decision basis source area and the first target basis content; Generate a content selection table; Set the content selection table in the mobile filter frame of the target decision basis source area; If the user continues to use the virtual selector to move in the second only direction at a moving speed that does not exceed the second speed threshold, the control based on the content selection table starts to indicate the first to-be-selected based content to be selected, and whenever the user continues to use the virtual selector to move in the second only direction for a distance reaching the second distance threshold, the control based on the content selection table continues to indicate the next to-be-selected based content to be selected; When the time duration for which the user stops moving the virtual selector exceeds a time threshold, the to-be-selected basis content currently indicated in the to-be-selected table is used as the second target basis content; Based on the suggestion knowledge base, according to the first target basis content and the second target basis content, provide management decision suggestions to the user; When the user completes the management strategy based on the management decision suggestion, the hydropower station is operated and managed accordingly based on the management strategy.

[0043] The area difference between the two areas into which the target decision is divided by the ray starting from the current moving position of the virtual selector and moving in the first unique direction of the virtual selector does not exceed the area difference threshold.

[0044] In the content selection table, the contents to be selected are displayed in order from the first direction to the second direction according to the relevance from large to small; The steps for determining the first direction are as follows: Constructing a movement vector based on the moving starting point and the first unique direction of the virtual selector when the user uses the virtual selector to select the first target basis content from the decision basis source area; When the horizontal component of the motion vector exceeds the vertical component of the motion vector, the vertical upward direction is taken as the first direction; otherwise, the horizontal leftward direction is taken as the first direction; The second direction is the opposite direction of the first direction.

[0045] The management module 3 divides a plurality of decision basis source areas from the visualization model based on the viewing history of the user viewing the visualization model, including: Perform a time-series representation of the viewing history to obtain a sequence of historical items; Determine a plurality of history item clusters from the history item sequence; wherein each history item cluster satisfies the cluster constraint; Based on the division rules of the cluster constraints that each historical item cluster complies with, a plurality of decision basis source areas are divided from the visualization model according to each historical item cluster.

[0046] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A hydrological and meteorological intelligent forecast management method, characterized in that: include: Obtain hydrological and meteorological coupled forecast information; Based on the basin flow prediction model and the hydro-meteorological coupling forecast information, basin flow prediction for hydropower stations is carried out; Assist users to manage the operation of hydropower stations based on basin flow prediction results.

2. The hydrological and meteorological intelligent forecast management method according to claim 1, characterized in that: The hydrological and meteorological coupled forecast information at least includes: information on hydrological and meteorological forecasting by coupling numerical weather forecasting with a land surface hydrological model.

3. The hydrological and meteorological intelligent forecast management method according to claim 1, characterized in that: The steps for constructing the watershed flow prediction model are as follows: Based on big data technology, mine target multi-source data; Preprocess the target multi-source data; Based on the preprocessing results, the basin flow prediction model is trained.

4. The hydrological and meteorological intelligent forecast management method according to claim 1, characterized in that: The auxiliary user performs operation management of the hydropower station based on the basin flow prediction results, including: Visualize the basin flow prediction results to obtain a visualization model; Displaying a visual model to the user; Based on the viewing history of the visualization model by the user, a plurality of decision basis source areas are divided from the visualization model; When the set of regional attribute relationships between the decision basis source areas meets at least one timing condition in the timing condition library, if the user uses the virtual selector to select the first target basis content from the decision basis source area, and the user continues to use the virtual selector to continuously move in the first unique direction at a moving speed exceeding the first speed threshold, and moves a distance reaching the first distance threshold, activate the moving filter boxes of other decision basis source areas from which the first target basis content is not selected; Determine the target decision basis source area from other decision basis source areas; Based on the correlation degree library of the timing conditions that the regional attribute relationship set meets, determining the correlation degree between each of the plurality of candidate basis contents in the target decision basis source area and the first target basis content; Generate a content selection table; Set the content selection table in the mobile filter frame of the target decision basis source area; If the user continues to use the virtual selector to move in the second only direction at a moving speed that does not exceed the second speed threshold, the control based on the content selection table starts to indicate the first to-be-selected based content to be selected, and whenever the user continues to use the virtual selector to move in the second only direction for a distance reaching the second distance threshold, the control based on the content selection table continues to indicate the next to-be-selected based content to be selected; When the time duration for which the user stops moving the virtual selector exceeds a time threshold, the to-be-selected basis content currently indicated in the to-be-selected table is used as the second target basis content; Based on the suggestion knowledge base, according to the first target basis content and the second target basis content, provide management decision suggestions to the user; When the user completes the management strategy based on the management decision suggestion, the hydropower station is operated and managed accordingly based on the management strategy.

5. The hydrological and meteorological intelligent forecast management method according to claim 4, characterized in that: The area difference between the two areas into which the target decision is divided by the ray starting from the current moving position of the virtual selector and moving in the first unique direction of the virtual selector does not exceed the area difference threshold.

6. The hydrological and meteorological intelligent forecast management method according to claim 4, characterized in that: In the content selection table, the contents to be selected are displayed in order from the first direction to the second direction according to the relevance from large to small; The steps for determining the first direction are as follows: Constructing a movement vector based on the moving starting point and the first unique direction of the virtual selector when the user uses the virtual selector to select the first target basis content from the decision basis source area; When the horizontal component of the motion vector exceeds the vertical component of the motion vector, the vertical upward direction is taken as the first direction; otherwise, the horizontal leftward direction is taken as the first direction; The second direction is the opposite direction of the first direction.

7. The hydrological and meteorological intelligent forecast management method according to claim 4, characterized in that: Based on the viewing history of the user viewing the visualization model, a plurality of decision basis source areas are divided from the visualization model, including: Perform a time-series representation of the viewing history to obtain a sequence of historical items; Determine a plurality of history item clusters from the history item sequence; wherein each history item cluster satisfies the cluster constraint; Based on the division rules of the cluster constraints that each historical item cluster complies with, a plurality of decision basis source areas are divided from the visualization model according to each historical item cluster.

8. A hydrological and meteorological intelligent forecast management system, characterized in that: include: An acquisition module is used to obtain hydrological and meteorological coupled forecast information; The prediction module is used to predict the flow rate of a hydropower station based on the watershed flow prediction model and the hydro-meteorological coupling forecast information; The management module is used to assist users in operating and managing hydropower stations based on basin flow prediction results.

9. The hydrological and meteorological intelligent forecast management system according to claim 8, characterized in that: The hydrological and meteorological coupled forecast information at least includes: information on hydrological and meteorological forecasting by coupling numerical weather forecasting with a land surface hydrological model.

10. The hydrological and meteorological intelligent forecast management system according to claim 8, characterized in that: The steps for constructing the watershed flow prediction model are as follows: Based on big data technology, mine target multi-source data; Preprocess the target multi-source data; Based on the preprocessing results, the basin flow prediction model is trained.

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