GIS-based ecological flow information updating method and system

Abstract

The invention relates to the technical field of intelligent monitoring, in particular to an ecological flow information updating method and system based on a GIS, and the method comprises the steps: determining whether target ecological flow data is ecological flow data of a previous period or not through dynamically updating the target ecological flow data of an abnormal report, and forming multi-period abnormal monitoring; inputting the related data into a second configuration standard of the multi-data source control model, and determining a first coping strategy of each target index under the action of each piece of past ecological flow data in the multi-cycle anomaly monitoring and a second coping strategy of each past index under the action of each piece of target ecological flow data in the multi-cycle anomaly monitoring; and inputting the multi-data source control model, and determining a coping strategy through the target ecological flow data in multi-cycle anomaly monitoring. According to the method, the alarm information is comprehensively analyzed, the comprehensive abnormal information is extracted from a plurality of alarm events, the intelligent level is high, and accurate abnormal processing suggestions and decision support are provided for monitoring personnel.

Description

Technical Field

[0001] This application relates to the field of intelligent monitoring technologies, and particularly to a method and system for updating ecological flow information based on GIS. Background Art

[0002] With the rapid development of Internet technologies and the acceleration of enterprise digital transformation, the alarm data generated by data centers and various industrial systems has grown explosively. These alarm data are not only huge in quantity but also diverse in types, and at the same time, they have brought problems such as a sharp increase in the number of alarms, low efficiency of manual processing, limitations of single-item alarms and comprehensive-item alarms, lack of abnormal diagnosis functions, and low intelligent level of alarm processing.

[0003] Existing monitoring methods are difficult to cope with this rapidly growing and complex monitoring demand, and the alarm information processing ability is limited: Traditional systems mainly focus on single-item alarms and lack the ability to alarm comprehensive items, resulting in a single means of presenting alarm information and making it difficult to comprehensively reflect the system status. Moreover, the system does not have the ability to comprehensively analyze alarm information and cannot extract comprehensive abnormal information from multiple alarm events, affecting the rapid positioning and resolution of abnormalities. Low intelligent level: Lack of intelligent decision support functions and unable to provide accurate abnormal handling suggestions and decision support for monitoring personnel. The system has deficiencies in the visual display of alarm information and is difficult to intuitively reflect the system status and the importance of alarm information. Summary of the Invention

[0004] To achieve the above object, this application provides the following technical solutions: According to the first aspect of the present invention, the present invention claims protection for a method for updating ecological flow information based on GIS, including: By dynamically updating the target ecological flow data of the abnormal report, determining whether the target ecological flow data is the ecological flow data of the previous cycle to constitute multi-cycle abnormal monitoring; If not, then controlling the multi-data source control model to output a coping strategy for passing through the target ecological flow data; If so, then determining the target index of the dynamically updated abnormal report associated with the target ecological flow data through the first configuration standard in the multi-data source control model; Inputting the target index, target ecological flow data, past index, past ecological flow data, and past coping strategy in the multi-cycle abnormal monitoring into the second configuration standard of the multi-data source control model; Determining, through the second configuration standard of the multi-data source control model, the first coping strategy of each target index in the multi-cycle abnormal monitoring under the action of each past ecological flow data, and the second coping strategy of each past index in the multi-cycle abnormal monitoring under the action of each target ecological flow data; Input the multi - data - source control model based on the first coping strategy, the second coping strategy, and the past coping strategy to determine the coping strategy in the multi - cycle anomaly monitoring through the target ecological flow data.

[0005] Further, the steps of inputting the target index, target ecological flow data, past index, past ecological flow data, and past coping strategy in the multi - cycle anomaly monitoring into the second configuration standard of the multi - data - source control model include: Obtain each past ecological flow data in the multi - cycle anomaly monitoring, the past index of each dynamic update anomaly report associated with each past ecological flow data, and the past coping strategy associated with each past ecological flow data; Configure the behavior set in the second configuration standard of the multi - data - source control model according to the configuration length and configuration content type; Extract target abnormal behaviors respectively from each past ecological flow data, the past index of each dynamic update anomaly report associated with each past ecological flow data, the past coping strategy associated with each past ecological flow data, each target ecological flow data, and the target index of each dynamic update anomaly report associated with each target ecological flow data; wherein, the target abnormal behavior meets the requirements of the configuration content type and the configuration length. Input each past ecological flow data and each target index into the first behavior set at regular intervals, and input each target ecological flow data and each past index into the second behavior set at regular intervals.

[0006] Further, the steps of extracting target abnormal behaviors respectively from each past ecological flow data, the past index of each dynamic update anomaly report associated with each past ecological flow data, the past coping strategy associated with each past ecological flow data, each target ecological flow data, and the target index of each dynamic update anomaly report associated with each target ecological flow data include: Determine whether there is abnormal text in each past ecological flow data, the past index of each dynamic update anomaly report associated with each past ecological flow data, the past coping strategy associated with each past ecological flow data, each target ecological flow data, and the target index of each dynamic update anomaly report associated with each target ecological flow data that cannot extract target abnormal behaviors; If not, execute the steps of extracting target abnormal behaviors; If so, display the abnormal text on the visualization platform, and generate the target abnormal behavior of the abnormal text in combination with the user confirmation instruction input through the visualization platform.

[0007] Further, the step of inputting the target index, target ecological flow data, past index, past ecological flow data, and past response strategies in the multi-period anomaly monitoring into the second configuration standard of the multi-data source control model further includes: In the process of inputting the target index, target ecological flow data, past index, past ecological flow data, and past response strategies in the multi-period anomaly monitoring into the second configuration standard of the multi-data source control model, if the number of the behavior sets in the second configuration standard reaches the configuration quantity threshold, delete or merge the behavior sets with the configured number that are farthest from the target input time.

[0008] Further, the step of determining whether the target ecological flow data is the ecological flow data of the previous period to form multi-period anomaly monitoring by dynamically updating the target ecological flow data of the anomaly report includes: Determine whether the target ecological flow data and the ecological flow data of the previous period form multi-period anomaly monitoring by determining whether the time interval between inputting the target ecological flow data and inputting the ecological flow data of the previous period is within the configured time range; Or, Determine whether the target ecological flow data and the ecological flow data of the previous period form multi-period anomaly monitoring by determining whether any of the matching degrees between the target ecological flow data and the ecological flow data of the previous period, the response strategy associated with the ecological flow data of the previous period, and the index meet the configured matching degree threshold.

[0009] Further, the step of controlling the multi-data source control model to output the response strategy through the target ecological flow data includes: Control the dynamic update search engine to retrieve at least one dynamically updated anomaly report associated with the target ecological flow data through the target ecological flow data input by the visualization platform; Extract corresponding behavior key points from each of the dynamically updated anomaly reports, and input the behavior key points into the multi-data source control model to determine the index associated with each of the dynamically updated anomaly reports; wherein, the multi-data source control model includes a first configuration standard for extracting the index, and the first configuration standard is determined based on the log requirements and feature requirements of the index; Determine the confidence level of each of the dynamically updated anomaly reports associated with the index based on the verification rules and verification weights associated with each anomaly element of the index in the third configuration standard; Determine the target dynamically updated anomaly report associated with the target ecological flow data from the dynamically updated anomaly reports based on the confidence level of the dynamically updated anomaly reports and the index; Input the target ecological flow data and the index of the target dynamic update anomaly report into the multi-data source control model, and output the coping strategy for the target ecological flow data under the action of the second configuration standard.

[0010] Further, the step of determining the target index of the dynamic update anomaly report associated with the target ecological flow data through the first configuration standard in the multi-data source control model includes: Determine the first configuration standard for each dynamic update anomaly report associated with the target ecological flow data based on the configuration log requirements and configuration feature requirements of the target index; wherein, the feature requirements include one or more of the following: requiring the display of the abnormal elements of the dynamic update anomaly report, the required display index length, and the abnormal type of the dynamic update anomaly report to be displayed. Extract the corresponding behavior key points from each of the dynamic update anomaly reports and input them into the multi-data source control model. Extract the corresponding first behavior key points for each of the behavior key points of the dynamic update anomaly reports according to the feature requirements. Process each of the first behavior key points according to the log requirements to obtain the index of each dynamic update anomaly report; wherein, the log requirements include the collection time, the collector, the collection location, and the collection plan, and the collection plan is before the collection time and the collection location.

[0011] Further, the step of determining the first coping strategy for each target index in each past ecological flow data and the second coping strategy for each past index in each target ecological flow data in the multi-cycle anomaly monitoring through the second configuration standard of the multi-data source control model includes: Poll the target indexes respectively associated with each past ecological flow data in the first behavior set to generate the first coping strategy for each target index under the action of the past ecological flow data. Poll the past indexes respectively associated with each target ecological flow data in the second behavior set to generate the second coping strategy for each past index under the action of the target ecological flow data.

[0012] Further, the step of determining the coping strategy for the multi-cycle anomaly monitoring through the target ecological flow data by inputting the first coping strategy, the second coping strategy, and the past coping strategy into the multi-data source control model includes: Assign weight ratios to the first coping strategy, the second coping strategy, and the past coping strategy respectively according to the correlation degrees of the target ecological flow data with the first coping strategy, the second coping strategy, and the past coping strategy. Based on the matching degrees of the first response strategy, the second response strategy, and the past response strategy with the target ecological flow data and the weight ratio, determine and output the response strategy for the multi-cycle anomaly monitoring through the target ecological flow data.

[0013] According to the second aspect of the present invention, the present invention claims protection for a GIS-based ecological flow information update system for implementing the GIS-based ecological flow information update method described above, including: A decision-making unit, by dynamically updating the target ecological flow data of the anomaly report, decides whether the target ecological flow data is the ecological flow data of the previous cycle to form a multi-cycle anomaly monitoring; A first response strategy unit, if not, controls the multi-data source control model to output the response strategy through the target ecological flow data; A first determination unit, if so, determines the target index of the dynamically updated anomaly report associated with the target ecological flow data through the first configuration standard in the multi-data source control model; An input unit inputs the target index, the target ecological flow data, the past index, the past ecological flow data, and the past response strategy in the multi-cycle anomaly monitoring into the second configuration standard of the multi-data source control model; A second determination unit determines the first response strategy of each target index in the multi-cycle anomaly monitoring under the action of each past ecological flow data, and the second response strategy of each past index in the multi-cycle anomaly monitoring under the action of each target ecological flow data through the second configuration standard of the multi-data source control model; A second response strategy unit inputs the first response strategy, the second response strategy, and the past response strategy into the multi-data source control model, and determines the response strategy for the multi-cycle anomaly monitoring through the target ecological flow data.

[0014] The present application relates to the field of intelligent monitoring technologies, and particularly to a method and system for updating ecological flow information based on GIS. By dynamically updating the target ecological flow data of an anomaly report, it is determined whether the target ecological flow data is the ecological flow data of the previous cycle to constitute multi-cycle anomaly monitoring; relevant data is input into the second configuration standard of a multi-data source control model to determine the first response strategy of each target index in each past ecological flow data in multi-cycle anomaly monitoring, and the second response strategy of each past index in each target ecological flow data in multi-cycle anomaly monitoring; the multi-data source control model is input to determine the response strategy in multi-cycle anomaly monitoring through the target ecological flow data. The present invention comprehensively analyzes alarm information, extracts comprehensive anomaly information from multiple alarm events, has a high level of intelligence, and provides accurate anomaly handling suggestions and decision-making support for monitoring personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a working flowchart of a method for updating ecological flow information based on GIS requested to be protected by an embodiment of the present application; Figure 2 It is a structural block diagram of a system for updating ecological flow information based on GIS requested to be protected by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Through the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present application.

[0017] The terms "first", "second", and "third" in this application are only used for descriptive purposes and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first", "second", and "third" may explicitly or implicitly include at least one of such features. In the description of this application, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise specifically defined. In the embodiments of this application, all directional indications (such as up, down, left, right, front, back...) are only used to explain the relative positional relationship, movement conditions, etc. between components in a specific posture (as shown in the drawings). If the specific posture changes, the directional indications will also change accordingly. In addition, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products, or devices.

[0018] Referring to "embodiment" herein means that a specific feature, structure, or characteristic described in connection with an embodiment can be included in at least one embodiment of this application. The phrase appears in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0019] Figure 1 It is a flowchart of a method for updating ecological flow information based on GIS provided by an embodiment of the present invention; Referring to Figure 1 , the method mainly includes the following steps: Step S102, by dynamically updating the target ecological flow data of the exception report, determine whether the target ecological flow data and the ecological flow data of the previous cycle constitute multi-cycle exception monitoring.

[0020] Among them, the target ecological flow data can be input through a visualization platform, and the visualization platform can be understood as an interface integrated in the above intelligent device for facilitating user interaction; the ecological flow data in the embodiments of the present invention can be understood as the monitoring sensor information of the exception report updated dynamically. It should be noted that based on the correlation relationship between the target ecological flow data and the previous ecological flow data, determine whether the two are in the same exception monitoring, that is, constitute multi-cycle exception monitoring; as an optional embodiment, it is also based on the correlation relationship between the coping strategies of the target ecological flow data and the previous ecological flow data to determine whether the target ecological flow data and the previous ecological flow data constitute multi-cycle exception monitoring.

[0021] Step S104, if not, then control the multi-data source control model to output a coping strategy for the target ecological flow data.

[0022] Here, if the target ecological flow data and the previous ecological flow data belong to different anomaly detections, that is, the target ecological flow data is the first question in the target anomaly detection, then based on the dynamically updated anomaly report passed by the ecological flow data, a dynamically updated coping strategy is made.

[0023] Step S106, if so, then determine the target index of the dynamically updated anomaly report associated with the target ecological flow data through the first configuration standard in the multi-data source control model.

[0024] Here, if the target ecological flow data and the previous ecological flow data belong to the same anomaly detection, that is, the target ecological flow data and the previous ecological flow data constitute a multi-period anomaly detection, then it is necessary to determine the dependency relationship between the target ecological flow data, the previous ecological flow data, and the coping strategy of the previous ecological flow data, so as to obtain the precise coping strategy for the ecological flow data that is not the first to be proposed in the multi-period anomaly detection; first, obtain at least one target index associated with the ecological flow data through the first configuration standard, and each target index is associated with a dynamically updated anomaly report.

[0025] Step S108, input the target index, target ecological flow data, past index, past ecological flow data, and past coping strategy in the multi-period anomaly detection into the second configuration standard of the multi-data source control model.

[0026] It should be noted that it is possible to know whether the target ecological flow data and the previous ecological flow data belong to the same multi-period anomaly detection through the steps of the foregoing embodiments. In this way, it is possible to correspondingly know whether the previous ecological flow data is associated with its associated previous ecological flow data, and so on to obtain all the past ecological flow data in the target multi-period anomaly detection, and the associated past coping strategy for each past ecological flow data; Among them, the second configuration standard (after information input) is based on the processing and coping strategy logic associated with various pre-configured monitoring types, and guides the multi-data source control model to pass the coping strategy of the ecological flow data, and its pre-configured processing and coping strategy logic associated with various monitoring types; for example, the third configuration standard determines the monitoring type of the ecological flow data by identifying specific keywords in the ecological flow data, selects the associated reply rule through the corresponding monitoring type, and under the action of this reply rule, generates an answer passing through the ecological flow data through the index of the target dynamically updated anomaly report.

[0027] Here, the second configuration standard itself also configures input rules so that information such as the target index, target ecological flow data, past index, past ecological flow data, and past response strategies is input into the second configuration standard in a prescribed input requirement and in a conventional manner.

[0028] Step S110, through the second configuration standard of the multi-data source control model, determine the first response strategy of each target index in each multi-cycle anomaly monitoring under the action of each past ecological flow data, and the second response strategy of each past index in each multi-cycle anomaly monitoring under the action of each target ecological flow data.

[0029] Among them, based on the second configuration standard input in a conventional manner, it is possible to implement the first response strategy for the past ecological flow data using each target index, and the second response strategy for the target ecological flow data using each past index.

[0030] Step S112, based on the first response strategy, the second response strategy, and the past response strategy, input them into the multi-data source control model to determine the response strategy for the multi-cycle anomaly monitoring through the target ecological flow data.

[0031] In a preferred embodiment of practical application, first, decide whether the target ecological flow data for dynamically updating the anomaly report belongs to the first monitoring of the target multi-cycle anomaly monitoring or belongs to other monitoring in the target multi-cycle anomaly monitoring before the target ecological flow data; if it is the first monitoring, then based on the associated dynamically updated anomaly report, determine the ecological flow data response strategy with dynamic updateability; if it is not the first monitoring, that is, the target ecological flow data and the previous ecological flow data belong to the same multi-cycle anomaly monitoring, then use the first configuration standard to extract the target indexes of each dynamically updated anomaly report associated with the target ecological flow data, and then input the target monitoring, target indexes, past monitoring, past indexes, and past response strategies in the target multi-cycle anomaly monitoring into the second configuration standard to obtain the first response strategy of each target index to the past ecological flow data, the second response strategy of each past index to the target ecological flow data, and the past response strategy of each past index to the past ecological flow data; through the set of response strategies obtained by cross-referencing these indexes with associated relationships in the same multi-cycle anomaly monitoring, determine the response strategy of the target monitoring with a dependency relationship to the multi-cycle anomaly monitoring, and a response strategy result with relatively high accuracy for the target ecological flow data can be obtained.

[0032] In some embodiments, in step S102, deciding whether the target ecological flow data and the ecological flow data of the previous cycle constitute a multi-cycle anomaly monitoring can be achieved through the following methods, including: Step 1.1), determine whether the target ecological flow data and the ecological flow data of the previous cycle constitute multi-cycle anomaly monitoring by deciding whether the time interval between the input of the target ecological flow data and the input of the ecological flow data of the previous cycle is within the configured time range.

[0033] Here, if the time interval between the time when the target ecological flow data is input into the visualization platform and the time when the ecological flow data of the previous cycle is input into the visualization platform meets the configured time range, the target ecological flow data and the ecological flow data of the previous cycle can be recognized as the same multi-cycle anomaly monitoring.

[0034] Step 1.2), determine whether the target ecological flow data and the ecological flow data of the previous cycle constitute multi-cycle anomaly monitoring by deciding whether any of the matching degrees between the target ecological flow data and the ecological flow data of the previous cycle, the coping strategies associated with the ecological flow data of the previous cycle, and the index meets the configured matching degree threshold.

[0035] Here, as an optional embodiment, it can be determined whether the target ecological flow data and the ecological flow data of the previous cycle that meet the matching degree requirements constitute the same multi-cycle anomaly monitoring by comparing the matching degrees of the target ecological flow data, the ecological flow data of the previous cycle, the indexes of each dynamically updated anomaly report respectively associated with the ecological flow data of the previous cycle, and the corresponding coping strategies with the configured matching degree threshold.

[0036] As another optional embodiment, it is necessary to meet both Step 1.1) and Step 1.2) at the same time, that is, while the time interval between the target ecological flow data and the ecological flow data of the previous cycle meets the requirements, the target ecological flow data and the associated index and coping strategy have a matching degree that meets the requirements with the ecological flow data of the previous cycle. Only then are the target ecological flow data and the ecological flow data of the previous cycle recognized as the same multi-cycle anomaly monitoring.

[0037] The determination method of whether the target ecological flow data and the ecological flow data of the previous cycle constitute multi-cycle anomaly monitoring can be selected based on the actual application situation and accuracy requirements.

[0038] It should be noted that the target ecological flow data may be associated with at least one dynamically updated anomaly report. The dynamically updated anomaly reports associated with the target ecological flow data can be determined through a dynamically updated search engine. The same applies to the situation of the dynamically updated anomaly reports associated with the ecological flow data of the previous cycle; in practical applications, it can also be determined whether the target ecological flow data and the ecological flow data of the previous cycle belong to the same multi-cycle anomaly monitoring through the matching degree between the dynamically updated anomaly report 1 associated with the ecological flow data of the previous cycle and the dynamically updated anomaly report 2 associated with the target ecological flow data; It can be understood that operations such as determining the matching degree of the foregoing steps in the embodiments of the present invention can all be implemented through a matching model in a neural network.

[0039] In some embodiments, if the target ecological flow data and the previous ecological flow data do not belong to the same multi-period anomaly monitoring, the target ecological flow data belongs to the first monitoring of the target multi-period anomaly monitoring. At this time, step S104 can be determined by the precise dynamic update of the dynamic update of the anomaly report to ensure the reliability of the response strategy result, specifically including: Step 2.1), through the target ecological flow data input by the visualization platform, control the dynamic update search engine to retrieve at least one dynamic update anomaly report associated with the target ecological flow data.

[0040] Step 2.2), extract the corresponding behavior key points from each dynamic update anomaly report, and input the behavior key points into the multi-data source control model to determine the index associated with each dynamic update anomaly report.

[0041] Step 2.3), based on the verification rules and verification weights associated with each anomaly element of the index in the third configuration standard, determine the confidence level of each dynamic update anomaly report associated with the index.

[0042] It should be noted that each dynamic update anomaly report of the target is only retrieved because it is related to the ecological flow data, and the confidence level of such a dynamic update anomaly report itself cannot be guaranteed. In the embodiments of the present invention, the third configuration standard is used here to verify the situation of the anomaly elements associated with each dynamic update anomaly report to determine the confidence level of each dynamic update anomaly report; Among them, each anomaly report includes at most six anomaly elements, such as anomaly time, operator, abnormal equipment, abnormal reason, abnormal process, and abnormal consequence; the verification rules of each anomaly element and the verification weight associated with each anomaly element are pre-configured in the third configuration standard, that is, whether each anomaly element passes the verification has a different effect on the confidence level of the dynamic update anomaly report.

[0043] Step 2.4), based on the confidence level and index of the dynamic update anomaly report, determine the target dynamic update anomaly report associated with the ecological flow data from the dynamic update anomaly reports.

[0044] It can be understood that, in combination with the verification of the confidence level of each dynamic update anomaly report and the index extracted from each dynamic update anomaly report in the foregoing embodiment steps, the target dynamic update anomaly report with the highest matching degree with the ecological flow data is determined; in other words, the target dynamic update anomaly report generally conforms to the ecological flow data and has a relatively high confidence level among the dynamic update anomaly reports.

[0045] Step 2.5), input the ecological flow data and the index of the target dynamic update exception report into the multi-data source control model, and output the response strategy for the target ecological flow data under the action of the second configuration standard.

[0046] Here, the multi-data source control model also includes a second configuration standard, which can perform response strategies on the input ecological flow data passing through the target dynamic update exception report and output the response information of the ecological flow data.

[0047] In some other embodiments, if the target ecological flow data and the previous ecological flow data belong to the same multi-cycle anomaly monitoring, determine the precise response strategy of the target ecological flow data in the multi-cycle anomaly monitoring through the dependence between the target ecological flow data, the target index and the past monitoring and past index in the multi-cycle anomaly monitoring; first, as described in step S106, extract the target index from the dynamic update exception report associated with the target ecological flow data, specifically including: Step 3.1), determine the first configuration standard for each dynamic update exception report associated with the target ecological flow data based on the configuration log requirements and configuration feature requirements of the target index.

[0048] Here, the first configuration standard for each dynamic update exception report can be determined in advance. The first configuration standards associated with each dynamic update exception report may be the same or different; the first configuration standard is determined according to the log requirements and feature requirements of the index. In other words, the index expectation requirements associated with each dynamic update exception report may be different, resulting in different first configuration standards for different dynamic update exception reports.

[0049] As an optional embodiment, the initial configuration standard associated with each dynamic update exception report can be determined based on the source website and exception type of each dynamic update exception report; then, each initial configuration standard is processed through the log and features shown by the requirements of the index to obtain the first configuration standard associated with each dynamic update exception report respectively.

[0050] Step 3.2), extract the corresponding behavior key points from each dynamic update exception report and input them into the multi-data source control model.

[0051] Step 3.3), extract the corresponding first behavior key points from the behavior key points of each dynamic update exception report according to the feature requirements.

[0052] Among them, the feature requirements include one or more of the following: the abnormal elements of the dynamic update exception report required to be shown, the index length required to be shown, and the abnormal type of the dynamic update exception report required to be shown; According to the feature requirements, extract several abnormal elements associated with the dynamically updated abnormal report including specific abnormal types, and the first line presented according to a specific index length is the key point; In the foregoing embodiments, each dynamically updated abnormal report matching the ecological flow data may be associated with multiple different abnormal types, or each dynamically updated abnormal report includes multiple abnormal types; here, the target abnormal type of each dynamically updated abnormal report can be determined based on the feature requirements in the first configuration standard.

[0053] Step 3.4), process each first line as the key point according to the log requirements to obtain the index of each dynamically updated abnormal report.

[0054] Among them, the log requirements include the collection time, the collector, the collection location, and the collection plan, and the collection plan is before the collection time and the collection location.

[0055] Here, on the basis that the first line as the key point meets the feature requirements, the specific sensor information composition in the first line as the key point is also arranged according to the log requirements.

[0056] In some embodiments, the target index associated with the target ecological flow data and the past index associated with the past ecological flow data are both input according to the constraint conditions configured in the second configuration standard. This step S108 can also be implemented through the following steps, including: Step 4.1), obtain each past ecological flow data in the multi-period abnormal monitoring, the past index of each dynamically updated abnormal report associated with each past ecological flow data, and the past response strategy associated with each past ecological flow data.

[0057] Among them, based on step S102 in the foregoing embodiments, it can be known whether the ecological flow data input at each target moment belongs to the same multi-period abnormal monitoring as the ecological flow data input at the previous moment, and in this way, all past monitors of each multi-period abnormal monitoring can be known; For example, a certain multi-period abnormal monitoring includes two past monitors A and B in total. The target monitoring input can know that it belongs to the same multi-period abnormal monitoring as the previous monitor B. At this time, using the previous monitor B as the target monitor, it is decided whether the target monitor B and its previous monitor A belong to the same multi-period abnormal monitoring. In the case of belonging, then using the past monitor A as the target monitor, it is decided that it is different from the previous monitor input to the visualization platform in the multi-period abnormal monitoring, that is, the past monitor A is the first ecological flow data of the target multi-period abnormal monitoring, and the index and response strategy associated with each ecological flow data in the target multi-period abnormal monitoring are obtained respectively.

[0058] Step 4.2), configure the behavior set in the second configuration criterion of the multi-data source control model according to the configured length and configured content type.

[0059] Here, the second configuration criterion can be configured based on the configured business requirements and scenarios. After configuration, only the information that conforms to the configured content type and the configured length can be input into the behavior set of the second configuration criterion; the configured content type can include content types such as collection time, collector, collection location, collection plan, etc.

[0060] Step 4.3), extract the target abnormal behaviors from each past ecological flow data, the past indexes of each dynamic update abnormal report associated with each past ecological flow data, the past response strategies associated with each past ecological flow data, each target ecological flow data, and the target indexes of each dynamic update abnormal report associated with each target ecological flow data.

[0061] Among them, the target abnormal behaviors meet the requirements of the configured content type and the configured length. It can be understood that there may be parts in the past ecological flow data, past indexes, past response strategies, target ecological flow data, and each target ecological flow data and target indexes that do not conform to the provisions of the second configuration criterion. Extract the target abnormal behaviors that meet the requirements and then input them into the second configuration criterion.

[0062] As an optional embodiment, in order to ensure the input reliability of the second configuration criterion, in addition to the way of timing input through constraints such as the configured length requirement and the configured content type shown in Step 4.3), the content to be input can also be verified through Step 4.4) to ensure the reliability of the content to be input that passes the verification, specifically including: Step 4.4.1), determine whether there is abnormal text in each past ecological flow data, the past indexes of each dynamic update abnormal report associated with each past ecological flow data, the past response strategies associated with each past ecological flow data, each target ecological flow data, and the target indexes of each dynamic update abnormal report associated with each target ecological flow data, from which the target abnormal behaviors cannot be extracted.

[0063] Here, the abnormal text can be understood as the text information in the past ecological flow data, past indexes, past response strategies, target ecological flow data, and target indexes from which the target abnormal behaviors cannot be extracted.

[0064] Step 4.4.2), if not, execute Step 4.3) to extract the target abnormal behaviors.

[0065] Here, if the target abnormal behavior can be extracted from the past ecological flow data, past index, past coping strategy, target ecological flow data, and target index, they can be directly extracted respectively.

[0066] In step 4.4.3), if available, the abnormal text is displayed on the visualization platform, and combined with the user confirmation instruction input through the visualization platform, the target abnormal behavior of the abnormal text is generated.

[0067] In step 4.5), each past ecological flow data is respectively and regularly input into the first behavior set with each target index, and each target ecological flow data is respectively and regularly input into the second behavior set with each past index.

[0068] Here, it can be understood that the target abnormal behavior of each past ecological flow data is respectively and regularly input into the first behavior set with the target abnormal behavior of each target index; each first behavior set includes the target abnormal behavior of a past ecological flow data and the target abnormal behavior of a target index associated with this past ecological flow data; and there may be multiple past ecological flow data, and there may also be multiple target indexes, that is, each past ecological flow data may also be associated with multiple target indexes, so it can be known that the first behavior set includes at least one; Similarly, the target abnormal behavior of each target ecological flow data is respectively and regularly input into the second behavior set with the target abnormal behavior of each past index, and this second behavior set also includes at least one.

[0069] It should be noted that the second configuration standard has pre-set the cross-correlation relationship between the target monitoring and the past index, and between the past monitoring and the target index, and the same correlation relationship is stored and input in the same behavior set. Among them, the past coping strategy is stored in the third behavior set.

[0070] As an optional embodiment, in order to ensure the input reliability of the second configuration standard, in addition to the method of regularly inputting into the first behavior set and the second behavior set shown in step 4.5), the number of the first behavior set and the second behavior set can also be restricted by another constraint condition pre-set by the second configuration standard, including: In step 4.6), during the process of inputting the target index, target ecological flow data, past index, past ecological flow data, and past coping strategy in the multi-period abnormal monitoring into the second configuration standard of the multi-data source control model, if the number of the behavior sets of the second configuration standard reaches the configuration quantity threshold, the behavior sets with the configured number that are farthest from the target input time are deleted or merged.

[0071] It should be noted that the second configuration standard may not only include the behavior set information associated with the target multi - cycle anomaly monitoring. To ensure the storage space of the second configuration standard, the number of behavior sets carried in the second configuration standard is pre - configured; In practical applications, cross - type responses are respectively generated through the first behavior set and the second behavior set after input in the second configuration standard. As described in step S110, it includes: Step 5.1), poll the target index respectively associated with each past ecological traffic data in the first behavior set, and generate the first response strategy of each target index under the action of the past ecological traffic data.

[0072] Among them, there may be n pieces of past ecological traffic data, and there are also m target indexes. Therefore, m * n first behavior sets will be generated in the second configuration standard. Polling the m * n first behavior sets generates m * n first response strategies for each target index to each piece of past ecological traffic data.

[0073] Step 5.2), poll the past index respectively associated with each target ecological traffic data in the second behavior set, and generate the second response strategy of each past index under the action of the target ecological traffic data.

[0074] Similarly to step 5.1), polling the second behavior set can obtain multiple second response strategies for the target ecological traffic data based on the past index.

[0075] Step S112 obtains the response strategy of the target ecological traffic data through the first response strategy, the second response strategy and the past response strategy. This response strategy is dependent on the past monitoring, past response strategy and past index in the multi - cycle anomaly monitoring, and has higher accuracy. It includes: Step 6.1), respectively assign weight ratios to the first response strategy, the second response strategy and the past response strategy according to the correlation degrees between the target ecological traffic data and the first response strategy, the second response strategy and the past response strategy.

[0076] Here, the second response strategy for answering through the target ecological traffic data has the highest correlation degree with the target ecological traffic data, the first response strategy has the second - highest correlation degree with the target ecological traffic data, and the past response strategy has the lowest correlation degree with the target ecological traffic data. Corresponding configuration weight ratios are respectively assigned according to this correlation degree ranking.

[0077] Step 6.2), determine and output the response strategy for the target ecological traffic data in the multi - cycle anomaly monitoring based on the matching degrees and weight ratios between the first response strategy, the second response strategy and the past response strategy and the target ecological traffic data.

[0078] Here, taking the foregoing example for illustration, it can be understood that the multi-data source control model can determine the field / semantic matching degree between each coping strategy and the target ecological flow data based on the foregoing coping strategy set; based on the target ecological flow data, the coping strategies with the highest matching degree can be obtained as the first coping strategy and the second coping strategy a, and then by combining the product of the weight ratios respectively associated with each coping strategy, the coping strategy for the target ecological flow data in multi-period anomaly monitoring can be obtained.

[0079] The embodiment of the present invention can obtain multiple sets of coping strategy sets with dependent relevance in multi-period anomaly monitoring through the cross-answer of the target ecological flow data and the past index, and the past ecological flow data and the target index, and then through this coping strategy set, the multi-data source control model can know the accurate coping strategy for the target ecological flow data.

[0080] In some embodiments, as Figure 2 shown, the embodiment of the present invention provides an ecological flow information update system based on GIS, including: A decision-making unit, by dynamically updating the target ecological flow data of the anomaly report, decides whether the target ecological flow data and the ecological flow data of the previous period constitute multi-period anomaly monitoring; A first coping strategy unit, if not, controls the multi-data source control model to output the coping strategy for passing through the target ecological flow data; A first determination unit, if so, determines the target index of the dynamically updated anomaly report associated with the target ecological flow data through the first configuration standard in the multi-data source control model; An input unit inputs the target index, the target ecological flow data, the past index, the past ecological flow data, and the past coping strategy in the multi-period anomaly monitoring into the second configuration standard of the multi-data source control model; A second determination unit determines the first coping strategy of each target index in each past ecological flow data in the multi-period anomaly monitoring and the second coping strategy of each past index in each target ecological flow data through the second configuration standard of the multi-data source control model; A second coping strategy unit inputs the first coping strategy, the second coping strategy, and the past coping strategy into the multi-data source control model to determine the coping strategy for passing through the target ecological flow data in the multi-period anomaly monitoring.

[0081] Further, the input unit is further configured to obtain each historical ecological flow data in the multi-period anomaly monitoring, the historical indexes of each of the dynamically updated anomaly reports associated with each of the historical ecological flow data, and the historical response strategies associated with each of the historical ecological flow data; configure the behavior set in the second configuration standard of the multi-data source control model according to the configured length and configured content type; extract target abnormal behaviors from each historical ecological flow data, the historical indexes of each of the dynamically updated anomaly reports associated with each of the historical ecological flow data, the historical response strategies associated with each of the historical ecological flow data, each target ecological flow data, and the target indexes of each of the dynamically updated anomaly reports associated with each of the target ecological flow data, respectively, where the target abnormal behaviors meet the requirements of the configured content type and the configured length; input each historical ecological flow data and each target index into the first behavior set at regular intervals, and input each target ecological flow data and each historical index into the second behavior set at regular intervals.

[0082] Further, the input unit is further configured to determine whether there is abnormal text from which target abnormal behaviors cannot be extracted among each historical ecological flow data, the historical indexes of each of the dynamically updated anomaly reports associated with each of the historical ecological flow data, the historical response strategies associated with each of the historical ecological flow data, each target ecological flow data, and the target indexes of each of the dynamically updated anomaly reports associated with each of the target ecological flow data; if not, perform the step of extracting target abnormal behaviors; if so, display the abnormal text on the visualization platform and generate target abnormal behaviors for the abnormal text in combination with the user confirmation instruction input through the visualization platform.

[0083] Further, the input unit is further configured to, in the process of inputting the target index, target ecological flow data, historical index, historical ecological flow data, and historical response strategy in the multi-period anomaly monitoring into the second configuration standard of the multi-data source control model, if the number of behavior sets in the behavior set of the second configuration standard reaches the configured quantity threshold, delete or merge the behavior sets of the configured number that are farthest from the target input time.

[0084] Furthermore, the decision-making unit is also used to determine whether the target ecological flow data and the ecological flow data of the previous period constitute multi-period anomaly monitoring by deciding whether the time interval between the input of the target ecological flow data and the input of the ecological flow data of the previous period is within the configured time range; or, by deciding whether the matching degree of the target ecological flow data with the ecological flow data of the previous period, the response strategy associated with the ecological flow data of the previous period, and the index meets the configured matching degree threshold, respectively, to determine whether the target ecological flow data and the ecological flow data of the previous period constitute multi-period anomaly monitoring.

[0085] Furthermore, the first response strategy unit is also used to control the dynamic update of the search engine to retrieve at least one dynamically updated anomaly report associated with the target ecological flow data through the target ecological flow data input by the visualization platform; extract the corresponding behavior key points from each of the dynamically updated anomaly reports, and input the behavior key points into the multi-data source control model to determine the index associated with each of the dynamically updated anomaly reports; wherein, the multi-data source control model includes a first configuration criterion for extracting the index, and the first configuration criterion is determined based on the log requirements and feature requirements of the index; based on the verification rules and verification weights associated with each anomaly element of the index in the third configuration criterion, determine the confidence level of each dynamically updated anomaly report associated with the index; based on the confidence level of the dynamically updated anomaly report and the index, determine the target dynamically updated anomaly report associated with the ecological flow data from the dynamically updated anomaly reports; input the ecological flow data and the index of the target dynamically updated anomaly report into the multi-data source control model, and output the response strategy for the target ecological flow data under the action of the second configuration criterion.

[0086] Furthermore, the first determination unit is also used to determine the first configuration criterion for each dynamically updated anomaly report associated with the target ecological flow data based on the configured log requirements and configured feature requirements of the target index; wherein, the feature requirements include one or more of the following: requiring the display of the anomaly elements of the dynamically updated anomaly report, the length of the index to be displayed, and the anomaly type of the dynamically updated anomaly report to be displayed; extract the corresponding behavior key points from each of the dynamically updated anomaly reports and input them into the multi-data source control model; extract the corresponding first behavior key points from the behavior key points of each of the dynamically updated anomaly reports according to the feature requirements; process each of the first behavior key points according to the log requirements to obtain the index of each of the dynamically updated anomaly reports; wherein, the log requirements include the collection time, the collector, the collection location, and the collection plan, and the collection plan is before the collection time and the collection location.

[0087] Further, the second determination unit is further configured to poll the target indexes respectively associated with each piece of past ecological flow data in the first row set, and generate a first response strategy for each of the target indexes under the action of the past ecological flow data; poll the past indexes respectively associated with each piece of target ecological flow data in the second row set, and generate a second response strategy for each of the past indexes under the action of the target ecological flow data.

[0088] Further, the second response strategy unit is further configured to assign weight ratios to the first response strategy, the second response strategy, and the past response strategy respectively according to the association degrees between the target ecological flow data and the first response strategy, the second response strategy, and the past response strategy; determine and output the response strategy for the target ecological flow data in the multi-period anomaly monitoring based on the matching degrees between the first response strategy, the second response strategy, and the past response strategy and the target ecological flow data and the weight ratios.

[0089] In several embodiments provided by the present application, it should be understood that the disclosed system, system, and method can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of systems or units can be in electrical, mechanical, or other forms.

[0090] In addition, each functional unit in various embodiments of the present application can be integrated in a processing unit, or each unit can be physically separate, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. The above is only the implementation manner of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present application.

[0091] The specific implementation manners of the invention have been described in detail above, but they are only examples. The present application is not limited to the specific implementation manners described above. For those skilled in the art, any equivalent modification or substitution to the invention is also within the scope of the present application. Therefore, equivalent transformations, modifications, improvements, etc. made without departing from the spirit and principles of the present application should all be covered within the scope of the present application.

Claims

1. An ecological flow information update method based on GIS, characterized in that, Including: By dynamically updating the target ecological flow data of the exception report, determining whether the target ecological flow data is the ecological flow data of the previous cycle constitutes multi-cycle anomaly monitoring; If not, control the multi-data source control model to output a coping strategy through the target ecological flow data; If so, determine the target index of the dynamically updated exception report associated with the target ecological flow data through the first configuration standard in the multi-data source control model; Input the target index, target ecological flow data, past index, past ecological flow data, and past coping strategy in the multi-cycle anomaly monitoring into the second configuration standard of the multi-data source control model; Through the second configuration standard of the multi-data source control model, determine the first coping strategy of each target index in the multi-cycle anomaly monitoring under the action of each past ecological flow data, and the second coping strategy of each past index in the multi-cycle anomaly monitoring under the action of each target ecological flow data; Based on the first coping strategy, the second coping strategy, and the past coping strategy input into the multi-data source control model, determine the coping strategy through the target ecological flow data in the multi-cycle anomaly monitoring.

2. The method according to claim 1, wherein The step of inputting the target index, target ecological flow data, past index, past ecological flow data, and past coping strategy in the multi-cycle anomaly monitoring into the second configuration standard of the multi-data source control model includes: Obtain each past ecological flow data in the multi-cycle anomaly monitoring, the past index of each dynamically updated exception report associated with each past ecological flow data, and the past coping strategy associated with each past ecological flow data; Configure the behavior set in the second configuration standard of the multi-data source control model according to the configuration length and configuration content type; Extract target abnormal behaviors from each past ecological flow data, the past index of each dynamically updated exception report associated with each past ecological flow data, the past coping strategy associated with each past ecological flow data, each target ecological flow data, and the target index of each dynamically updated exception report associated with each target ecological flow data; wherein, the target abnormal behavior meets the requirements of the configuration content type and the configuration length; Input each past ecological flow data and each target index into the first behavior set at regular intervals, and input each target ecological flow data and each past index into the second behavior set at regular intervals.

3. The method according to claim 2, wherein The step of extracting target abnormal behaviors from each past ecological flow data, the past index of each dynamically updated exception report associated with each past ecological flow data, the past coping strategy associated with each past ecological flow data, each target ecological flow data, and the target index of each dynamically updated exception report associated with each target ecological flow data includes: Determine whether there is abnormal text that cannot extract the target abnormal behavior in each past ecological flow data, the past indexes of each dynamically updated abnormal report associated with each past ecological flow data, the past response strategies associated with each past ecological flow data, each target ecological flow data, and the target indexes of each dynamically updated abnormal report associated with each target ecological flow data; If not, perform the steps of extracting the target abnormal behavior; If so, display the abnormal text on the visualization platform, and generate the target abnormal behavior of the abnormal text in combination with the user confirmation instruction input through the visualization platform.

4. The method according to claim 2, characterized in that, The step of inputting the target index, target ecological flow data, past index, past ecological flow data, and past response strategy in the multi-period anomaly monitoring into the second configuration standard of the multi-data source control model further includes: During the process of inputting the target index, target ecological flow data, past index, past ecological flow data, and past response strategy in the multi-period anomaly monitoring into the second configuration standard of the multi-data source control model, if the number of behavior sets in the behavior set of the second configuration standard reaches the configuration quantity threshold, delete or merge the behavior sets of the configuration number that are farthest from the target input time.

5. The method according to claim 1, characterized in that, The step of determining whether the target ecological flow data is the ecological flow data of the previous period to form multi-period anomaly monitoring through the target ecological flow data of the dynamically updated abnormal report includes: Determine whether the target ecological flow data and the ecological flow data of the previous period form multi-period anomaly monitoring by determining whether the time interval between inputting the target ecological flow data and inputting the ecological flow data of the previous period is within the configured time range; Or, Determine whether the target ecological flow data and the ecological flow data of the previous period form multi-period anomaly monitoring by determining whether any of the matching degrees of the target ecological flow data with the ecological flow data of the previous period, the response strategy and index associated with the ecological flow data of the previous period meet the configured matching degree threshold.

6. The method according to claim 1, wherein The step of controlling the multi-data source control model to output the response strategy through the target ecological flow data includes: Control the dynamically updated search engine to retrieve at least one dynamically updated abnormal report associated with the target ecological flow data through the target ecological flow data input through the visualization platform; Extract the corresponding behavior key points from each dynamically updated abnormal report, and input the behavior key points into the multi-data source control model to determine the index associated with each dynamically updated abnormal report; wherein, the multi-data source control model includes a first configuration standard for extracting the index, and the first configuration standard is determined based on the log requirements and feature requirements of the index; Determine the confidence level of each dynamically updated abnormal report associated with the index based on the verification rules and verification weights associated with each abnormal element of the index in the third configuration standard; Determine a target dynamically updated anomaly report associated with the target ecological flow data from the dynamically updated anomaly report based on the confidence level of the dynamically updated anomaly report and the index; Input the target ecological flow data and the index of the target dynamically updated anomaly report into the multi-data source control model, and output a coping strategy for passing the target ecological flow data under the action of the second configuration standard.

7. The method according to claim 1, wherein The step of determining the target index of the dynamically updated anomaly report associated with the target ecological flow data through the first configuration standard in the multi-data source control model includes: Based on the configuration log requirements and configuration feature requirements of the target index, determine the first configuration standard for each dynamically updated anomaly report associated with the target ecological flow data; wherein, the feature requirements include one or more of the following: the requirement to display the anomaly elements of the dynamically updated anomaly report, the required index length to be displayed, and the anomaly type of the dynamically updated anomaly report to be displayed; Extract the corresponding behavior key points from each of the dynamically updated anomaly reports and input them into the multi-data source control model; Extract the corresponding first behavior key points from the behavior key points of each of the dynamically updated anomaly reports according to the feature requirements; Process each of the first behavior key points according to the log requirements to obtain the index of each of the dynamically updated anomaly reports; wherein, the log requirements include the collection time, the collector, the collection location, and the collection plan, and the collection plan is before the collection time and the collection location.

8. The method according to claim 2 or 3 or 4, characterized in that, The step of determining the first coping strategy for each target index under the action of each past ecological flow data in the multi-period anomaly monitoring and the second coping strategy for each past index under the action of each target ecological flow data through the second configuration standard in the multi-data source control model includes: Poll the target indexes respectively associated with each past ecological flow data in the first behavior set to generate the first coping strategy for each target index under the action of the past ecological flow data; Poll the past indexes respectively associated with each target ecological flow data in the second behavior set to generate the second coping strategy for each past index under the action of the target ecological flow data.

9. The method according to claim 1, characterized in that, The step of determining the coping strategy for passing the target ecological flow data in the multi-period anomaly monitoring based on the input of the first coping strategy, the second coping strategy, and the past coping strategy into the multi-data source control model includes: Assign weight ratios to the first coping strategy, the second coping strategy, and the past coping strategy respectively according to the correlation degrees of the target ecological flow data with the first coping strategy, the second coping strategy, and the past coping strategy; Determine and output the coping strategy for passing the target ecological flow data in the multi-period anomaly monitoring based on the matching degrees of the first coping strategy, the second coping strategy, and the past coping strategy with the target ecological flow data and the weight ratios.

10. An ecological flow information update system based on GIS, which is used to execute an ecological flow information update method based on GIS according to any one of claims 1-9, characterized in that, Include: The decision-making unit makes a multi-period anomaly monitoring on whether the target ecological flow data is the ecological flow data of the previous period by dynamically updating the target ecological flow data of the anomaly report; The first response strategy unit, if the answer is no, controls the multi-data source control model to output the response strategy passing through the target ecological flow data; The first determination unit, if the answer is yes, determines the target index of the dynamically updated anomaly report associated with the target ecological flow data through the first configuration standard in the multi-data source control model; The input unit inputs the target index, the target ecological flow data, the past index, the past ecological flow data, and the past response strategy in the multi-period anomaly monitoring into the second configuration standard of the multi-data source control model; The second determination unit determines the first response strategy of each target index in the multi-period anomaly monitoring under the action of each past ecological flow data, and the second response strategy of each past index in the multi-period anomaly monitoring under the action of each target ecological flow data through the second configuration standard of the multi-data source control model; The second response strategy unit determines the response strategy passing through the target ecological flow data in the multi-period anomaly monitoring based on the first response strategy, the second response strategy, and the past response strategy input into the multi-data source control model.

Images