Flood control dispatching intelligent management method and system

Abstract

The invention provides a flood control scheduling intelligent management method and system, and the method comprises the steps: carrying out the severity evaluation of the situation of a target region for flood control scheduling, and obtaining an evaluation value; when the evaluation value is greater than or equal to an evaluation value threshold value, first flood control scheduling management is performed on the target area autonomously; and when the evaluation value is smaller than the evaluation value threshold value, the management personnel are assisted to perform second flood control scheduling management on the target area. According to the method, firstly, the situation severity evaluation is performed on the flood control scheduling target area, and whether the system autonomously performs the first flood control scheduling management or the auxiliary management personnel performs the second flood control scheduling management is determined based on the size relationship between the evaluation value obtained through evaluation and the evaluation value threshold, so that the complete dependence on manpower is reduced, and the labor cost is reduced; and secondly, when the target area encounters a relatively serious flood situation, the management personnel are assisted to carry out second flood control scheduling management, so that the management personnel can carry out efficient and accurate flood control scheduling aiming at the complex flood situation.

Description

Technical Field

[0001] The present invention relates to the technical field of flood control dispatching management of hydropower stations, and in particular to a flood control dispatching intelligent management method and system thereof. Background Art

[0002] As an important energy infrastructure, hydropower stations are usually located upstream of rivers and lakes, and such areas are often at risk of flooding. Floods may not only pose a direct threat to hydropower station facilities, but also affect the normal operation and power generation benefits of hydropower stations. In order to ensure the safe operation of power stations during floods, flood control and dispatching technology is particularly important.

[0003] Current flood control dispatching technology is mainly focused on flood control dispatching management, but it often relies entirely on manual management personnel, which has high labor costs. In addition, when faced with complex flood situations (such as an increase in extreme weather events, increased flood intensity and frequency, etc.), manual management personnel cannot efficiently and accurately carry out flood control dispatching management.

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

[0005] One of the purposes of the present invention is to provide an intelligent management method for flood control scheduling. First, the severity of the situation in the flood control scheduling target area is evaluated. Based on the relationship between the evaluation value obtained by the evaluation and the evaluation value threshold, it is decided whether the system will independently perform the first flood control scheduling management, or the auxiliary management personnel will perform the second flood control scheduling management, thereby reducing the complete dependence on manual labor, reducing labor costs, and ensuring that flood situations of different severity have corresponding treatment plans; secondly, when the target area encounters a more serious flood situation, the system will assist the management personnel in performing the second flood control scheduling management, so that the management personnel can perform efficient and accurate flood control scheduling for complex flood situations.

[0006] An embodiment of the present invention provides a flood control dispatching intelligent management method, including: Evaluate the severity of the situation in the target area for flood control and obtain the evaluation value; When the evaluation value is greater than or equal to the evaluation value threshold, the first flood control dispatch management is autonomously performed on the target area; When the evaluation value is less than the evaluation value threshold, the auxiliary management personnel conduct a second flood control dispatch management on the target area.

[0007] Optionally, the auxiliary manager performs a second flood control dispatch management on the target area, including: Displaying a visual model of the situation in the target area to managers; Extract features from the situation visualization model and the viewing behavior information of managers viewing the situation visualization model in the past to obtain a feature set; When the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, the situation visualization model is continuously input into the AI ​​decision model in the first period to obtain a logical sequence of decision knowledge; When the decision behavior information of the manager making flood control dispatch management decisions based on the situation visualization model in the second period and the first N decision knowledge in the logical sequence of decision knowledge that is greater than or equal to Ng have a first standard association relationship, each decision knowledge in the logical sequence of decision knowledge is traversed in sequence order; During each traversal, based on the current viewing perspective of the situation visualization model viewed by the manager and the mapping basis information of the traversed decision-making knowledge, the knowledge mapping area is determined in the situation visualization model; Map the traversed decision-making knowledge into the knowledge mapping area; When the manager views the knowledge mapping area for a time period greater than or equal to the time threshold, the manager continues to traverse the next decision knowledge; After traversing each decision-making knowledge, when the user inputs the flood control scheduling management strategy, the flood control scheduling management strategy is executed on the target area; The starting time of the first period is the time when the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, and the time length is the time length value corresponding to the standard feature set; The second period is after the first period and adjacent to the first period, and the length of the second period is negatively correlated with the matching degree between the feature set and the standard feature set; g<N, the size of g is positively correlated with the matching degree between the feature set and the standard feature set; The first standard association relationship includes: decision-making behavior information represents the manager's intention to adopt decision-making knowledge.

[0008] Optionally, determining the knowledge mapping area in the situation visualization model based on the current viewing perspective of the manager viewing the situation visualization model and the mapping basis information of the traversed decision knowledge includes: Determine mapping area conditions based on mapping basis information; Determine a plurality of candidate mapping areas that meet the mapping area conditions from the situation visualization model; Traverse each candidate mapping area in turn; During each traversal, a target area is determined in the situation visualization model, which is visible at the current viewing angle and has a second standard association relationship with the traversed candidate mapping area; Obtain a common standard viewing angle between the traversed area to be mapped and the target area; Determine the evaluation value corresponding to the similarity between the standard viewing perspective and the current viewing perspective from the evaluation value table, and associate it with the traversed candidate mapping area; After traversing all candidate mapping areas, the candidate mapping area associated with the greatest similarity is used as the knowledge mapping area; The second standard association relationship includes: The straight-line distance between the target area and the traversed candidate mapping area is less than or equal to the distance threshold; and, The display content of the minimum complete enclosure of the target area and the traversed decision knowledge meet the joint display conditions; and, The relative orientation between the target area and the traversed candidate mapping area meets the relative orientation condition; the relative orientation condition corresponds to the joint display condition.

[0009] Optionally, the flood control dispatch intelligent management method further includes: Build a flood control dispatch management experience database for the target area; Display the flood control dispatch management experience database to managers.

[0010] Optionally, the flood control dispatch intelligent management method further includes: When managers select flood control dispatching management experience from the flood control dispatching management experience library, the managers are shown the whole process of applying the flood control dispatching management experience to the target area.

[0011] An embodiment of the present invention provides a flood control dispatching intelligent management system, including: The severity evaluation module is used to evaluate the severity of the situation in the target area for flood control dispatch and obtain the evaluation value; A first flood control dispatching management module is used to autonomously perform a first flood control dispatching management on the target area when the evaluation value is greater than or equal to the evaluation value threshold; The second flood control dispatching management module is used to assist the management personnel in performing the second flood control dispatching management on the target area when the evaluation value is less than the evaluation value threshold.

[0012] Optionally, the second flood control dispatch management module assists the management personnel in performing the second flood control dispatch management on the target area, including: Displaying a visual model of the situation in the target area to managers; Extract features from the situation visualization model and the viewing behavior information of managers viewing the situation visualization model in the past to obtain a feature set; When the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, the situation visualization model is continuously input into the AI ​​decision model in the first period to obtain a logical sequence of decision knowledge; When the decision behavior information of the manager making flood control dispatch management decisions based on the situation visualization model in the second period and the first N decision knowledge in the logical sequence of decision knowledge that is greater than or equal to Ng have a first standard association relationship, each decision knowledge in the logical sequence of decision knowledge is traversed in sequence order; During each traversal, based on the current viewing perspective of the situation visualization model viewed by the manager and the mapping basis information of the traversed decision-making knowledge, the knowledge mapping area is determined in the situation visualization model; Map the traversed decision-making knowledge into the knowledge mapping area; When the manager views the knowledge mapping area for a time period greater than or equal to the time threshold, the manager continues to traverse the next decision knowledge; After traversing each decision-making knowledge, when the user inputs the flood control scheduling management strategy, the flood control scheduling management strategy is executed on the target area; The starting time of the first period is the time when the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, and the time length is the time length value corresponding to the standard feature set; The second period is after the first period and adjacent to the first period, and the length of the second period is negatively correlated with the matching degree between the feature set and the standard feature set; g<N, the size of g is positively correlated with the matching degree between the feature set and the standard feature set; The first standard association relationship includes: decision-making behavior information represents the manager's intention to adopt decision-making knowledge.

[0013] Optionally, the second flood control dispatch management module determines the knowledge mapping area in the situation visualization model based on the current viewing angle of the manager viewing the situation visualization model and the mapping basis information of the traversed decision knowledge, including: Determine mapping area conditions based on mapping basis information; Determine a plurality of candidate mapping areas that meet the mapping area conditions from the situation visualization model; Traverse each candidate mapping area in turn; During each traversal, a target area is determined in the situation visualization model, which is visible at the current viewing angle and has a second standard association relationship with the traversed candidate mapping area; Obtain a common standard viewing angle between the traversed area to be mapped and the target area; Determine the evaluation value corresponding to the similarity between the standard viewing perspective and the current viewing perspective from the evaluation value table, and associate it with the traversed candidate mapping area; After traversing all candidate mapping areas, the candidate mapping area associated with the greatest similarity is used as the knowledge mapping area; The second standard association relationship includes: The straight-line distance between the target area and the traversed candidate mapping area is less than or equal to the distance threshold; and, The display content of the minimum complete enclosure of the target area and the traversed decision knowledge meet the joint display conditions; and, The relative orientation between the target area and the traversed candidate mapping area meets the relative orientation condition; the relative orientation condition corresponds to the joint display condition.

[0014] Optionally, the flood control dispatching intelligent management system further includes: Experience library module, used for: Build a flood control dispatch management experience database for the target area; Display the flood control dispatch management experience database to managers.

[0015] Optionally, the experience library module is also used for: When managers select flood control dispatching management experience from the flood control dispatching management experience library, the managers are shown the whole process of applying the flood control dispatching management experience to the target area.

[0016] 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.

[0017] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] 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 flood control dispatch intelligent management method according to an embodiment of the present invention; Figure 2 It is a schematic diagram of a flood control dispatch intelligent management system in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] 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.

[0020] The embodiment of the present invention provides a flood control dispatching intelligent management method, such as Figure 1As shown, including: S1. Evaluate the severity of the situation in the target area for flood control dispatch and obtain an evaluation value; S2. When the evaluation value is greater than or equal to the evaluation value threshold, the first flood control dispatch management is autonomously performed on the target area; S3. When the evaluation value is less than the evaluation value threshold, the auxiliary management personnel conduct a second flood control dispatch management on the target area.

[0021] The working principle and beneficial effects of the above technical solution are: The target area is the hydropower station area and the basin where it is located; when the target area encounters a flood, the target area is evaluated for the severity of the situation, and the evaluation value represents the degree of goodness of the situation of the target area encountering the flood. The larger the evaluation value, the greater the degree of goodness; when evaluating the severity of the situation, multiple situation information of the target area encountering the flood (for example: flood flow, flood water level, flood water level rising speed, etc.) can be collected to determine whether each situation information meets the preset evaluation index (for example: the flood flow reaches 20m³ / s). If so, the preset score corresponding to the evaluation index that the situation information meets is output (for example: 2), and finally the sum of the scores is used as the evaluation value.

[0022] The evaluation value threshold can be 8; when the evaluation value is greater than or equal to the evaluation value threshold, it means that the situation of the target area encountering floods is relatively good, and there is no need for management personnel to intervene. The system is carried out independently. When the system autonomously performs the first flood control scheduling management on the target area, it can determine the currently applicable flood control scheduling management experience from the preset flood control scheduling management experience library based on multiple situation information of the target area encountering floods, and perform the first flood control scheduling management on the target area in comparison with the flood control scheduling management experience; there is a large amount of manual experience in flood control scheduling management of hydropower stations in the flood control scheduling management suggestion library.

[0023] When the evaluation value is less than the evaluation value threshold, it means that the flood situation in the target area is not good enough, and management personnel need to intervene to assist the management personnel in performing the second flood control dispatch management for the target area.

[0024] The present invention firstly evaluates the severity of the situation in the target area of ​​flood control scheduling, and based on the relationship between the evaluation value obtained by the evaluation and the evaluation value threshold, decides whether the system shall independently perform the first flood control scheduling management, or the auxiliary management personnel shall perform the second flood control scheduling management, thereby reducing the complete reliance on manual labor, reducing labor costs, and ensuring that flood situations of different severity have corresponding treatment plans; secondly, when the target area encounters a more serious flood situation, the system will assist the management personnel in performing the second flood control scheduling management, so that the management personnel can perform efficient and accurate flood control scheduling for complex flood situations.

[0025] In one embodiment, the auxiliary manager performs the second flood control dispatch management on the target area, including: Displaying a visual model of the situation in the target area to managers; Extract features from the situation visualization model and the viewing behavior information of managers viewing the situation visualization model in the past to obtain a feature set; When the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, the situation visualization model is continuously input into the AI ​​decision model in the first period to obtain a logical sequence of decision knowledge; the starting time of the first period is the time when it is determined that the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, and the time length is the time length value corresponding to the standard feature set; When the decision behavior information of the manager making flood control dispatch management decisions based on the situation visualization model in the second period and the first N decision knowledge in the logical sequence of decision knowledge greater than or equal to Ng have the first standard association relationship, each decision knowledge in the logical sequence of decision knowledge is traversed in sequence order; the second period is after the first period and adjacent to the first period, and the length of the second period is negatively correlated with the matching degree between the feature set and the standard feature set; g<N, the size of g is positively correlated with the matching degree between the feature set and the standard feature set; the first standard association relationship includes: the decision behavior information represents that the manager intends to adopt the decision knowledge; During each traversal, based on the current viewing perspective of the situation visualization model viewed by the manager and the mapping basis information of the traversed decision-making knowledge, the knowledge mapping area is determined in the situation visualization model; Map the traversed decision-making knowledge into the knowledge mapping area; When the manager views the knowledge mapping area for a time period greater than or equal to the time threshold, the manager continues to traverse the next decision knowledge; After traversing each decision-making knowledge, when the user inputs the flood control scheduling management strategy, the flood control scheduling management strategy is executed on the target area; The working principle and beneficial effects of the above technical solution are: The situation visualization model is a three-dimensional model that can visualize the situation information of floods in the target area to managers. It can be implemented based on BIM or GIS technology. For example, the situation visualization model displays the flood flow and flood water level information in different areas of the basin where the hydropower station is located, as well as the location and related responsibilities of the on-site personnel of the hydropower station and the working status of the flood control facilities of the hydropower station. Managers can view the situation visualization model to understand the situation information of floods in the target area intuitively and from a global perspective.

[0026] When managers view the situation visualization model, viewing behavior information is generated. The viewing behavior information includes: the operation behavior of managers based on the input of the situation visualization model, the instruction behavior issued by managers to the target area based on the situation visualization model, and the discussion behavior generated by managers and other managers. At the same time, feature extraction is performed on the situation visualization model and the viewing behavior information to obtain a feature set. The features in the feature set include: the behavior type and behavior generation time of the above-mentioned operation behavior, instruction behavior, and discussion behavior.

[0027] The standard feature set is pre-set, and the features in it jointly reflect that the manager wants to make flood control scheduling management decisions or that the manager currently needs to make flood control scheduling management decisions. For example: the features in the standard feature set are to check the water level of the reservoir of the hydropower station and the sluice control interface of the reservoir in sequence, which means that the manager wants to intervene in the water level of the reservoir, that is, to make flood control scheduling management decisions. For example: the feature in the standard feature set is that the water level of the reservoir of the hydropower station continues to increase rapidly, which means that the manager currently needs to intervene in the water level of the reservoir immediately, that is, the manager currently needs to make flood control scheduling management decisions. ; The matching degree threshold can be 75%; when the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, it means that the manager wants to make a flood control scheduling management decision or the manager is currently required to make a flood control scheduling management decision. In the first period, the situation visualization model is continuously input into the AI ​​decision model. The AI ​​decision model will immediately make decisions based on the continuously input situation visualization model. The decision knowledge logical sequence can be used to assist the manager in flood control scheduling management; the situation information will be continuously updated, so the situation visualization model needs to be input into the AI ​​decision model, and the situation visualization model that changes continuously in the first period is used as The AI ​​decision model determines the basis for the logical sequence of decision knowledge; the logical sequence of decision knowledge contains decision knowledge arranged in sequence order, and the decision knowledge is the knowledge that assists and guides the management personnel to conduct flood control dispatching management for the target area under the current situation, and its sequence order is the logical order of assisting and guiding the management personnel; the starting time of the first period is set to the time when the matching degree between the feature set and the standard feature set is determined to be greater than or equal to the matching degree threshold, so that once the matching degree between the feature set and the standard feature set is determined to be greater than or equal to the matching degree threshold, the situation visualization model begins to be input into the AI ​​decision model; the standard feature set corresponds to a preset time length value, and the higher the degree to which the management personnel want to make flood control dispatching management decisions or the current need for the management personnel to make flood control dispatching management decisions, the more the management personnel need to be assisted and guided quickly, and the smaller the time length value is. Specifically, the size relationship between the standard feature set and the time length value can be set by the technical personnel according to this requirement; the AI ​​decision model is an artificial intelligence model that uses a large amount of manual experience in flood control dispatching management of hydropower stations to train the neural network model to convergence, which can decide how to assist the management personnel in flood control dispatching management, that is, output the logical sequence of decision knowledge.

[0028] Managers can make flood control dispatch management decisions based on the situation visualization model, which will generate decision behavior information. The decision behavior information includes: the control object and control type controlled by the manager based on the situation visualization model, such as: the control object is a hydropower station equipment, the control type is start or shut down, etc., and another example: the control object is a hydropower station work type, the control type is work scheduling, etc.; when the decision behavior information of the manager making flood control dispatch management decisions based on the situation visualization model in the second period and the first N decision knowledge in the logical sequence of decision knowledge greater than or equal to Ng decision knowledge have a first standard association relationship, it means that the logical sequence of decision knowledge can be used to assist and guide the manager, and each decision knowledge in the logical sequence of decision knowledge is traversed in sequence according to the sequence order, and the manager is assisted and guided by traversing each decision knowledge in sequence; the first standard association relationship refers to the decision behavior information representing the manager's intention to adopt decision knowledge, such as: the decision behavior information is to dispatch the on-site staff of the hydropower station to the flood control and evacuation area, and the decision knowledge is to dispatch the staff to take evacuation, then the two meet the first standard association relationship; The second time period is set after the first time period and adjacent to the first time period, so that once the logical sequence of decision-making knowledge is determined, the management personnel can be assisted and guided; the time length of the second time period is set to be negatively correlated with the matching degree between the feature set and the standard feature set. The greater the matching degree between the feature set and the standard feature set, the higher the degree to which the management personnel actually want to make flood control scheduling management decisions or the current actual need for the management personnel to make flood control scheduling management decisions, and whether to assist and guide the management personnel can be determined in a shorter time. The shorter the time length of the second time period, the greater the size relationship between the time length of the second time period and the matching degree can be set by the technical personnel according to this requirement; the size of g is set to be positively correlated with the matching degree between the feature set and the standard feature set. The greater the matching degree between the feature set and the standard feature set, the higher the degree to which the management personnel actually want to make flood control scheduling management decisions or the current actual need for the management personnel to make flood control scheduling management decisions, and the decision behavior information and the less decision knowledge meet the first standard association relationship to determine whether to assist and guide the management personnel, and the smaller Ng is, the fixed N is, that is, the larger g is.

[0029] Each time decision-making knowledge is traversed, the knowledge mapping area is determined in the situation visualization model, and the traversed decision-making knowledge is mapped into the knowledge mapping area. After mapping, managers can view the decision-making knowledge in the knowledge mapping area and obtain auxiliary guidance.

[0030] The duration threshold may be 100 seconds. When the manager views the knowledge mapping area for a time period greater than or equal to the duration threshold, it indicates that the user has sufficient time to utilize the decision knowledge mapping and continues to traverse the next decision knowledge.

[0031] After traversing each decision-making knowledge, the user will make a decision, input the flood control scheduling management strategy, and implement the flood control scheduling management strategy for the target area.

[0032] The embodiment of the present invention introduces a feature set and a standard feature set to accurately, quickly and comprehensively determine the extent to which managers want to make flood control scheduling management decisions or the extent to which managers are currently required to make flood control scheduling management decisions. Based on this extent, the timing of inputting the situation visualization model into the AI ​​decision model for logical sequence decision-making of decision knowledge is determined, thereby reducing the working resources of the AI ​​decision model and improving the AI ​​decision efficiency. Secondly, the starting time of the first time period is set to be the time when the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, and the time length is the time length value corresponding to the standard feature set, so as to accurately determine the starting time of continuously inputting the situation visualization model into the AI ​​decision model, thereby ensuring that the AI ​​decision model has sufficient decision-making basis and avoiding time wasted due to long-term continuous input, thereby further improving the AI ​​decision efficiency. Then, the management personnel are set to input the situation visualization model into the AI ​​decision model based on the situation in the second time period. The visualization model uses the condition that there is a first standard correlation relationship between the decision behavior information of flood control scheduling management decisions and the first N decision knowledge in the logical sequence of decision knowledge, which is greater than or equal to Ng. It can accurately, quickly and comprehensively determine whether management personnel can be assisted and guided, and reasonably determine the timing of auxiliary guidance, so as to avoid directly using the logical sequence of decision knowledge to assist and guide management personnel and affect the decision-making ideas of management personnel themselves. It is particularly humane and more applicable. Then, the second time period is set after the first time period and adjacent to the first time period. The length of the second time period is negatively correlated with the matching degree between the feature set and the standard feature set, and the size of g is positively correlated with the matching degree between the feature set and the standard feature set. It can not only ensure that it is possible to accurately determine whether management personnel can be assisted and guided, but also avoid time delays caused by excessive determination, which is very intelligent.

[0033] In one embodiment, determining the knowledge mapping area in the situation visualization model based on the current viewing perspective of the manager viewing the situation visualization model and the mapping basis information of the traversed decision knowledge includes: Determine mapping area conditions based on mapping basis information; Determine a plurality of candidate mapping areas that meet the mapping area conditions from the situation visualization model; Traverse each candidate mapping area in turn; During each traversal, a target area is determined in the situation visualization model, which is visible at the current viewing angle and has a second standard association relationship with the traversed candidate mapping area; Obtain a common standard viewing angle between the traversed area to be mapped and the target area; Determine the evaluation value corresponding to the similarity between the standard viewing perspective and the current viewing perspective from the evaluation value table, and associate it with the traversed candidate mapping area; After traversing all candidate mapping areas, the candidate mapping area associated with the greatest similarity is used as the knowledge mapping area; The second standard association relationship includes: Condition A: The straight-line distance between the target area and the traversed candidate mapping area is less than or equal to the distance threshold; and, Condition B: The display content of the minimum complete enclosure of the target area and the traversed decision knowledge meet the joint display conditions; and, Condition C: The relative orientation between the target area and the traversed candidate mapping area meets the relative orientation condition; the relative orientation condition corresponds to the joint display condition.

[0034] The working principle and beneficial effects of the above technical solution are: The mapping basis information includes: the size of the area required for the content of the decision knowledge to be displayed, the target that the content of the decision knowledge needs to be close to, etc. (the closeness here is based on the human visual sense that the content and the target are related, and the specific requirements for closeness can be set by technical personnel according to actual conditions); therefore, the mapping area conditions can be determined based on the mapping basis information, and the mapping area conditions include: the size of the area required for the content of the decision knowledge to be displayed in the to-be-selected mapping area, the target that the content of the decision knowledge needs to be close to, etc.

[0035] There is a second standard association relationship between the target area and the traversed candidate mapping area, which means that the manager can improve the effect of assisting and guiding the manager by viewing the target area and the traversed candidate mapping area after the mapping decision knowledge at the same time; and the target area is visible under the current viewing angle, which means that the manager has currently seen the traversed candidate mapping area, and it is more likely that he will switch to viewing the traversed candidate mapping area and the target area at the same time.

[0036] The common standard viewing angle of the area to be mapped and the target area refers to a viewing angle that can at least completely view the area to be mapped and the target area.

[0037] There are evaluation values ​​corresponding to different similarities in the evaluation value table. The greater the similarity between the standard viewing perspective and the current viewing perspective, the more convenient it is for managers to switch to viewing the situation visualization model from the standard viewing perspective, and the greater the evaluation value. Specifically, the relationship between the similarity and the evaluation value can be set by the technical staff according to this requirement.

[0038] After traversing each candidate mapping region, the candidate mapping region associated with the greatest similarity is used as the knowledge mapping region, and the candidate mapping region associated with the greatest similarity is the mapping region most suitable for mapping the traversed decision knowledge.

[0039] In condition A, the distance threshold can be 10cm; condition A is set to ensure that the target area is not far from the traversed candidate mapping area, so that it can be fully visible under the same viewing angle; in condition B, the display content is surrounded by the target area at the minimum level. The joint display condition refers to the condition that the manager can simultaneously view the target area and the traversed candidate mapping area after mapping the decision knowledge to improve the effect of assisting and guiding the manager. For example, the joint display condition is that the decision knowledge is to command the leader of the hydropower station flood control expert group to make risk avoidance arrangements for the hydropower station, and the display content is the current location distribution of the other members of the hydropower station flood control expert group. Then the manager The team leader can communicate and coordinate in advance based on the current position distribution of the team members; in condition C, the relative position refers to the position of the target area in the traversed candidate mapping area, and the relative position condition corresponds to the joint display condition that meets the display content and the traversed decision knowledge. For example: in the above example of the joint display condition, the manager can communicate and coordinate in advance based on the current position distribution of the team members. The manager needs to check the decision knowledge first and then check the display content. The relative position condition is that the target area is on the right side of the traversed candidate mapping area, which meets the viewing habits of personnel viewing the visualization model.

[0040] The embodiment of the present invention determines the knowledge mapping area in the situation visualization model based on the current viewing perspective of the manager viewing the situation visualization model and the mapping basis information of the traversed decision knowledge, ensures that the traversed decision knowledge has the best mapping area, and improves the effect and efficiency of assisting and guiding the managers.

[0041] In one embodiment, the flood control dispatch intelligent management method further includes: Build a flood control dispatch management experience database for the target area; Display the flood control dispatch management experience database to managers; When managers select flood control dispatching management experience from the flood control dispatching management experience library, the managers are shown the whole process of applying the flood control dispatching management experience to the target area.

[0042] The working principle and beneficial effects of the above technical solution are: There is a large amount of flood control dispatching management experience in the flood control dispatching management experience database. When managers select flood control dispatching management experience from the flood control dispatching management experience database, the managers are shown the whole process of applying the flood control dispatching management experience to the target area, helping them to learn from the flood control dispatching management experience.

[0043] The embodiment of the present invention provides a flood control dispatching intelligent management system, such as Figure 2 As shown, including: Severity evaluation module 1 is used to evaluate the severity of the situation in the target area for flood control dispatch and obtain an evaluation value; The first flood control dispatching management module 2 is used to autonomously perform the first flood control dispatching management on the target area when the evaluation value is greater than or equal to the evaluation value threshold; The second flood control dispatching management module 3 is used to assist the management personnel in performing the second flood control dispatching management on the target area when the evaluation value is less than the evaluation value threshold.

[0044] The second flood control dispatch management module assists the management personnel in performing the second flood control dispatch management on the target area, including: Displaying a visual model of the situation in the target area to managers; Extract features from the situation visualization model and the viewing behavior information of managers viewing the situation visualization model in the past to obtain a feature set; When the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, the situation visualization model is continuously input into the AI ​​decision model in the first period to obtain a logical sequence of decision knowledge; When the decision behavior information of the manager making flood control dispatch management decisions based on the situation visualization model in the second period and the first N decision knowledge in the logical sequence of decision knowledge that is greater than or equal to Ng have a first standard association relationship, each decision knowledge in the logical sequence of decision knowledge is traversed in sequence order; During each traversal, based on the current viewing perspective of the situation visualization model viewed by the manager and the mapping basis information of the traversed decision-making knowledge, the knowledge mapping area is determined in the situation visualization model; Map the traversed decision-making knowledge into the knowledge mapping area; When the manager views the knowledge mapping area for a time period greater than or equal to the time threshold, the manager continues to traverse the next decision knowledge; After traversing each decision-making knowledge, when the user inputs the flood control scheduling management strategy, the flood control scheduling management strategy is executed on the target area; The starting time of the first period is the time when the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, and the time length is the time length value corresponding to the standard feature set; The second period is after the first period and adjacent to the first period, and the length of the second period is negatively correlated with the matching degree between the feature set and the standard feature set; g<N, the size of g is positively correlated with the matching degree between the feature set and the standard feature set; The first standard association relationship includes: decision-making behavior information represents the manager's intention to adopt decision-making knowledge.

[0045] The second flood control dispatch management module determines the knowledge mapping area in the situation visualization model based on the current viewing angle of the manager viewing the situation visualization model and the mapping basis information of the traversed decision knowledge, including: Determine mapping area conditions based on mapping basis information; Determine a plurality of candidate mapping areas that meet the mapping area conditions from the situation visualization model; Traverse each candidate mapping area in turn; During each traversal, a target area is determined in the situation visualization model, which is visible at the current viewing angle and has a second standard association relationship with the traversed candidate mapping area; Obtain a common standard viewing angle between the traversed area to be mapped and the target area; Determine the evaluation value corresponding to the similarity between the standard viewing perspective and the current viewing perspective from the evaluation value table, and associate it with the traversed candidate mapping area; After traversing all candidate mapping areas, the candidate mapping area associated with the greatest similarity is used as the knowledge mapping area; The second standard association relationship includes: The straight-line distance between the target area and the traversed candidate mapping area is less than or equal to the distance threshold; and, The display content of the minimum complete enclosure of the target area and the traversed decision knowledge meet the joint display conditions; and, The relative orientation between the target area and the traversed candidate mapping area meets the relative orientation condition; the relative orientation condition corresponds to the joint display condition.

[0046] The flood control dispatching intelligent management system also includes: Experience library module, used for: Build a flood control dispatch management experience database for the target area; Display the flood control dispatch management experience database to managers.

[0047] The experience base module is also used for: When managers select flood control dispatching management experience from the flood control dispatching management experience library, the managers are shown the whole process of applying the flood control dispatching management experience to the target area.

[0048] 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 flood control dispatching intelligent management method, characterized in that: include: Evaluate the severity of the situation in the target area for flood control and obtain the evaluation value; When the evaluation value is greater than or equal to the evaluation value threshold, the first flood control dispatch management is autonomously performed on the target area; When the evaluation value is less than the evaluation value threshold, the auxiliary management personnel conduct a second flood control dispatch management on the target area.

2. The flood control dispatching intelligent management method according to claim 1, characterized in that: The auxiliary management personnel performs the second flood control dispatch management on the target area, including: Displaying visual models of the situation in target areas to managers; Extract features from the situation visualization model and the viewing behavior information of managers viewing the situation visualization model in the past to obtain a feature set; When the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, the situation visualization model is continuously input into the AI ​​decision model in the first period to obtain a logical sequence of decision knowledge; When the decision behavior information of the manager making flood control dispatch management decisions based on the situation visualization model in the second period and the first N decision knowledge in the logical sequence of decision knowledge that is greater than or equal to Ng have a first standard association relationship, each decision knowledge in the logical sequence of decision knowledge is traversed in sequence order; During each traversal, based on the current viewing perspective of the situation visualization model viewed by the manager and the mapping basis information of the traversed decision-making knowledge, the knowledge mapping area is determined in the situation visualization model; Map the traversed decision-making knowledge into the knowledge mapping area; When the manager views the knowledge mapping area for a time period greater than or equal to the time threshold, the manager continues to traverse the next decision knowledge; After traversing each decision-making knowledge, when the user inputs the flood control scheduling management strategy, the flood control scheduling management strategy is executed on the target area; The starting time of the first period is the time when the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, and the time length is the time length value corresponding to the standard feature set; The second period is after the first period and adjacent to the first period, and the length of the second period is negatively correlated with the matching degree between the feature set and the standard feature set; g<N, the size of g is positively correlated with the matching degree between the feature set and the standard feature set; The first standard association relationship includes: decision-making behavior information represents the manager's intention to adopt decision-making knowledge.

3. The flood control dispatching intelligent management method according to claim 2, characterized in that: The step of determining a knowledge mapping area in the situation visualization model based on the current viewing perspective of the manager viewing the situation visualization model and the mapping basis information of the traversed decision knowledge includes: Determine mapping area conditions based on mapping basis information; Determine a plurality of candidate mapping areas that meet the mapping area conditions from the situation visualization model; Traverse each candidate mapping area in turn; During each traversal, a target area is determined in the situation visualization model, which is visible at the current viewing angle and has a second standard association relationship with the traversed candidate mapping area; Obtain a common standard viewing angle between the traversed area to be mapped and the target area; Determine the evaluation value corresponding to the similarity between the standard viewing angle and the current viewing angle from the evaluation value table, and associate it with the traversed candidate mapping area; After traversing all candidate mapping areas, the candidate mapping area associated with the greatest similarity is used as the knowledge mapping area; The second standard association relationship includes: The straight-line distance between the target area and the traversed candidate mapping area is less than or equal to the distance threshold; and, The display content of the minimum complete enclosure of the target area and the traversed decision knowledge meet the joint display conditions; and, The relative orientation between the target area and the traversed candidate mapping area meets the relative orientation condition; the relative orientation condition corresponds to the joint display condition.

4. The flood control dispatching intelligent management method according to claim 1, characterized in that: Also includes: Build a flood control dispatch management experience database for the target area; Display the flood control dispatch management experience database to managers.

5. The intelligent management method for flood control dispatching according to claim 4, characterized in that: Also includes: When managers select flood control dispatching management experience from the flood control dispatching management experience library, the managers are shown the whole process of applying the flood control dispatching management experience to the target area.

6. A flood control dispatching intelligent management system, characterized in that: include: The severity evaluation module is used to evaluate the severity of the situation in the target area for flood control dispatch and obtain the evaluation value; A first flood control dispatching management module is used to autonomously perform a first flood control dispatching management on the target area when the evaluation value is greater than or equal to the evaluation value threshold; The second flood control dispatching management module is used to assist the management personnel in performing the second flood control dispatching management on the target area when the evaluation value is less than the evaluation value threshold.

7. The flood control dispatching intelligent management system according to claim 6, characterized in that: The second flood control dispatch management module assists the management personnel in performing the second flood control dispatch management on the target area, including: Displaying visual models of the situation in target areas to managers; Extract features from the situation visualization model and the viewing behavior information of managers viewing the situation visualization model in the past to obtain a feature set; When the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, the situation visualization model is continuously input into the AI ​​decision model in the first period to obtain a logical sequence of decision knowledge; When the decision behavior information of the manager making flood control dispatch management decisions based on the situation visualization model in the second period and the first N decision knowledge in the logical sequence of decision knowledge that is greater than or equal to Ng have a first standard association relationship, each decision knowledge in the logical sequence of decision knowledge is traversed in sequence order; During each traversal, based on the current viewing perspective of the situation visualization model viewed by the manager and the mapping basis information of the traversed decision-making knowledge, the knowledge mapping area is determined in the situation visualization model; Map the traversed decision-making knowledge into the knowledge mapping area; When the manager views the knowledge mapping area for a time period greater than or equal to the time threshold, the manager continues to traverse the next decision knowledge; After traversing each decision-making knowledge, when the user inputs the flood control scheduling management strategy, the flood control scheduling management strategy is executed on the target area; The starting time of the first period is the time when the matching degree between the feature set and the standard feature set is greater than or equal to the matching degree threshold, and the time length is the time length value corresponding to the standard feature set; The second period is after the first period and adjacent to the first period, and the length of the second period is negatively correlated with the matching degree between the feature set and the standard feature set; g<N, the size of g is positively correlated with the matching degree between the feature set and the standard feature set; The first standard association relationship includes: decision-making behavior information represents the manager's intention to adopt decision-making knowledge.

8. The flood control dispatching intelligent management system according to claim 7, characterized in that: The second flood control dispatch management module determines the knowledge mapping area in the situation visualization model based on the current viewing angle of the manager viewing the situation visualization model and the mapping basis information of the traversed decision knowledge, including: Determine mapping area conditions based on mapping basis information; Determine a plurality of candidate mapping areas that meet the mapping area conditions from the situation visualization model; Traverse each candidate mapping area in turn; During each traversal, a target area is determined in the situation visualization model, which is visible at the current viewing angle and has a second standard association relationship with the traversed candidate mapping area; Obtain a common standard viewing angle between the traversed area to be mapped and the target area; Determine the evaluation value corresponding to the similarity between the standard viewing angle and the current viewing angle from the evaluation value table, and associate it with the traversed candidate mapping area; After traversing all candidate mapping areas, the candidate mapping area associated with the greatest similarity is used as the knowledge mapping area; The second standard association relationship includes: The straight-line distance between the target area and the traversed candidate mapping area is less than or equal to the distance threshold; and, The display content of the minimum complete enclosure of the target area and the traversed decision knowledge meet the joint display conditions; and, The relative orientation between the target area and the traversed candidate mapping area meets the relative orientation condition; the relative orientation condition corresponds to the joint display condition.

9. The flood control dispatching intelligent management system according to claim 6, characterized in that: Also includes: Experience library module, used for: Build a flood control dispatch management experience database for the target area; Display the flood control dispatch management experience database to managers.

10. The flood control dispatching intelligent management system according to claim 9, characterized in that: The experience base module is also used for: When managers select flood control dispatching management experience from the flood control dispatching management experience library, the managers are shown the whole process of applying the flood control dispatching management experience to the target area.

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