Meteorological water conservancy disaster intelligent grading early warning linkage call routing method and system

Abstract

The invention discloses a meteorological water conservancy disaster intelligent grading early warning linkage call routing method and a meteorological water conservancy disaster intelligent grading early warning linkage call routing system. A meteorological water conservancy two-factor early warning matrix is constructed, a cross-department data fusion channel is established, an early warning coupling model is developed, and multi-dimensional early warning fusion is achieved. And formulating a water conservancy special response strategy library, wherein the water conservancy special response strategy library comprises river water level grading routing and mountain torrent risk area customization strategies. And developing an intelligent water conservancy enhancement module, such as a flood control project topology analysis engine and a water and rain work condition semantic analyzer. The method is characterized in that a three-element risk rating model is constructed by an initiative dynamic coupling algorithm, and a water conservancy emergency response topology network based on double dimensions and a water conservancy project BIM data and meteorological early warning space superposition analysis module are adopted. The accuracy and comprehensiveness of disaster early warning can be improved, the timeliness and effectiveness of emergency response are ensured, and the intelligent level and disaster response capacity of the system are improved.

Description

Technical Field

[0001] The present invention relates to the field of meteorological and water conservancy disaster early warning, and in particular to a meteorological and water conservancy disaster intelligent graded early warning linkage call routing method and system. Background Art

[0002] Meteorological and water disasters pose a serious threat to the social economy and the safety of people's lives and property. Traditional early warning and response mechanisms often suffer from problems such as untimely and inaccurate information transmission and difficulties in coordination among departments. For example, in the event of a flood disaster caused by heavy rain, warning information issued by the meteorological department may not be promptly and accurately transmitted to the water conservancy department and relevant responsible units, resulting in delayed response measures. Furthermore, inconsistent data formats and standards between different departments make effective data integration and sharing difficult, hindering comprehensive disaster assessment and decision-making. Therefore, a method and system that can integrate meteorological and water conservancy data, implement intelligent hierarchical warnings, and implement coordinated call routing is needed to improve the efficiency and accuracy of disaster response. Summary of the Invention

[0003] To address the technical problems encountered in the prior art, the present application provides an intelligent hierarchical early warning linkage call routing system for meteorological and water conservancy disasters, comprising: a data acquisition module for acquiring meteorological early warning data and water conservancy monitoring data in real time, the meteorological early warning data including early warning levels and meteorological element parameters, and the water conservancy monitoring data including hydrological parameters and water conservancy project operating status parameters; a routing decision module for jointly analyzing the meteorological early warning data and water conservancy monitoring data according to preset multi-dimensional early warning fusion rules to dynamically generate a hierarchical call routing strategy, the routing strategy including at least a call object priority sequence and a call mode combination; a call execution module for executing a multi-mode early warning call based on the strategy output by the routing decision module, the multi-mode early warning call including at least one combination of voice calls, text messages, and sound and light alarms; a feedback optimization module for monitoring call response status in real time and dynamically optimizing subsequent call strategies based on response timeliness and answer results; wherein the routing decision module includes a water conservancy project topology analysis unit for analyzing the spatial topological relationship of flood control projects and automatically initiating a defense linkage call to the responsible person in the downstream associated area when a specific water conservancy facility enters an early warning state.

[0004] Through standardized interfaces, meteorological warning levels and rainfall forecast data are collected in real time, simultaneously accessing water level monitoring station data, reservoir flood control instructions, and flash flood disaster monitoring information from the water conservancy department. Spatial data fusion technology is used to align the coordinates of meteorological GIS layers with water conservancy project distribution maps, constructing a digital base for the watershed, including river channels, levees, and flood storage areas. A multidimensional warning fusion model is deployed, trained with historical disaster data to form a rule base for meteorological and water conservancy parameter associations. When a red warning for heavy rain is received, the model automatically correlates real-time inflow data from reservoirs within the basin. If the combined conditions of "three-hour surface rainfall exceeding the flood control plan threshold and reservoir water levels approaching the flood limit" are detected, a cross-departmental joint response is immediately triggered. A spatial topology analysis engine analyzes the spatial correlation network of levee projects. When a piping alarm occurs on a particular levee section, a call list is automatically generated for responsible administrative districts within 10 kilometers downstream. A hierarchical call strategy is generated based on a dynamic routing algorithm. For villages at high risk of flash floods, the system combines the critical rainfall indicators set by the water conservancy department to activate a three-level progressive calling mechanism of "village-level early warning officer → township flood control person in charge → county-level commander". When there is a time conflict between the reservoir dispatching instructions and the rainstorm warning, the call task of the person responsible for flood discharge safety will be executed first, and the people in the affected area will be notified of the person responsible for evacuation at the same time. The identity of the caller is verified through voice recognition technology, and the response time from the initiation of the call to the receipt of an effective response is recorded. When the average response time of multiple persons in charge in the same early warning event exceeds the preset threshold, the priority ranking of subsequent call strategies in the area is automatically optimized. After receiving the disposal feedback from the water conservancy project management unit, the closed-loop verification unit will feed back the actual disposal effect to the early warning model parameter library to achieve system self-learning.

[0005] Furthermore, the establishment of a multi-dimensional early warning fusion mechanism includes: building a meteorological-hydraulic dual-factor early warning matrix, incorporating the river warning water levels (blue / yellow / orange / red), reservoir flood limit water levels, and geological disaster risk levels issued by the water conservancy department into the early warning parameter system; establishing a cross-departmental data fusion channel, and real-time access to hydrological monitoring station data (river water level / flow / reservoir inflow), flood control project operation status (gate opening / embankment working condition) and mountain torrent disaster monitoring data; developing an early warning coupling model based on watershed characteristics, which automatically increases the response level when the hourly rainfall exceeds the threshold of the water conservancy department's flood control plan.

[0006] In one embodiment, the data acquisition module includes: a meteorological data interface unit for receiving the warning level information and actual monitoring data issued by the meteorological department; a water conservancy data interface unit for accessing the watershed water level monitoring data, reservoir operation parameters and mountain torrent disaster monitoring data of the water conservancy department; and a spatial data fusion unit for unifying the coordinate system of meteorological GIS data and water conservancy project spatial distribution data.

[0007] In one embodiment, the routing decision module also includes: a dynamic priority calculation unit, which is used to adjust the call order based on the real-time risk level of the disaster-affected area, and automatically increase the call priority of the person in charge of the corresponding area when the preset basin characteristic parameters are monitored to reach the flood control plan threshold; a semantic analysis unit, which is used to parse the key water conservancy element parameters in the early warning text, and the water conservancy element parameters include but are not limited to river warning water levels, reservoir flood control instructions and embankment working condition information.

[0008] In one embodiment, the call execution module includes: an intelligent retry unit, which starts a progressive retry mechanism at a preset time interval when the first call does not receive an effective response, and the retry mechanism includes call object upgrade rules and call method enhancement rules; a cross-level jump unit, which automatically skips the current call object level and initiates a call to a higher-level responsible person after a preset number of consecutive call attempts are not answered.

[0009] In one embodiment, the feedback optimization module includes: a response time evaluation unit, which is used to record the time interval from call initiation to obtaining a valid response, and trigger a policy adjustment instruction when the preset response time limit is exceeded; a closed-loop verification unit, which is used to confirm the identity of the answering party through voice recognition technology, and automatically generate an information delivery completion certificate after obtaining a valid response.

[0010] In one embodiment, the routing decision module also includes: a composite warning analysis unit, which is used to generate a cross-departmental joint response strategy when the meteorological warning level and water conservancy monitoring parameters meet the preset composite warning conditions. The joint response strategy includes instructions for parallel calls to member units of the flood control command and responsible persons of related administrative districts.

[0011] In one embodiment, the system further includes: a water conservancy project impact analysis unit for performing spatial overlay analysis on water conservancy facility BIM model data and real-time meteorological warning data, automatically identifying a list of water conservancy facilities that may be affected by heavy rain, and generating targeted call plans for project maintenance responsible persons.

[0012] The present invention also provides an embodiment, a meteorological and water conservancy warning linkage call routing method, which is applied to the above-mentioned meteorological and water conservancy disaster intelligent hierarchical warning linkage call routing system, including: real-time acquisition of meteorological warning data and water conservancy monitoring data, the meteorological warning data including warning level and meteorological element parameters, the water conservancy monitoring data including hydrological parameters and water conservancy project operation status parameters; joint analysis of meteorological warning data and water conservancy monitoring data according to preset multi-dimensional warning fusion rules, and dynamic generation of hierarchical call routing strategies, the routing strategies at least including call object priority sequence and call mode combination; execution of multi-mode warning calls based on the output strategies, the multi-mode warning calls including voice calls, text messages and sound and light alarms; real-time monitoring of call response status, and dynamic optimization of subsequent call strategies based on response timeliness and answer results.

[0013] Furthermore, the method also includes constructing a meteorological-hydraulic dual-factor early warning matrix, incorporating the river warning water level level, reservoir flood limit water level, and geological disaster risk level issued by the water conservancy department into the early warning parameter system; establishing a cross-departmental data fusion channel, and accessing hydrological monitoring station data, flood control project operation status data, and mountain torrent disaster monitoring data in real time; using a meteorological semantic recognition module and a newly added water-rainfall semantic analyzer to parse meteorological elements and water conservancy professional terms respectively to obtain key parameters; through a warning coupling model based on watershed characteristics, the early warning level is determined according to the key parameters and the flood control plan threshold of the water conservancy department; the call object and call order are determined according to a pre-set water conservancy special response strategy library dynamically bound to the warning level; using a background communication robot to send disaster monitoring real-time status, forecast and warning conditions, risk warnings, and disaster information to the call object through sound and light, voice calls, and text messages; receiving the response feedback of the call object, and when the response feedback meets the preset response conditions, the information transmission closed loop is completed.

[0014] In one embodiment, the dynamic routing decision process also includes, when the critical rainfall for flash flood disasters is monitored, activating a three-level progressive call mechanism, and initiating calls to the operating personnel in sequence; when a dangerous situation warning occurs in the flood control project, multi-way consultation calls are simultaneously initiated to the downstream related areas based on the project topology relationship.

[0015] In one of the embodiments, it also includes: training a machine learning model based on historical response data to optimize the matching rules between warning levels and call strategies; regularly updating the water conservancy project impact analysis parameter library, and dynamically adjusting the emergency response topology relationship of the basin unit based on the revision of the flood control plan.

[0016] Beneficial effects

[0017] This solution provides a method and system for intelligent, graded early warning and call routing for meteorological and water conservancy disasters. Through multi-dimensional technological innovation and collaborative operations, it comprehensively enhances disaster early warning and emergency response capabilities. Leveraging a multi-dimensional early warning fusion mechanism, the system constructs a meteorological-water conservancy dual-factor early warning matrix and opens up cross-departmental data fusion channels, achieving a deep integration of meteorological and water conservancy data. This overcomes the limitations of traditional single data sources and, combined with an early warning coupling model based on watershed characteristics, significantly improves the accuracy and comprehensiveness of disaster early warnings, providing a precise basis for subsequent responses. The water conservancy-specific response strategy library formulates differentiated response strategies based on river water level classification and flash flood risk areas. Whether polling watershed management stations during a blue warning, triggering a direct hotline for an interdepartmental joint meeting at a red warning, or escalating calls to three levels for flash flood disasters, it ensures that call routing and response measures can be quickly identified under different disaster scenarios and warning levels, greatly improving the timeliness and effectiveness of emergency responses. In the Smart Water Conservancy Enhancement Module, the flood control project topology analysis engine analyzes the spatial relationships of water conservancy projects in real time, and the water, rain, and engineering semantic analyzer accurately identifies water conservancy terminology. The combination of the two enhances the monitoring and management of water conservancy projects, enabling immediate defense linkage upon discovery of a dangerous situation. The pioneering three-factor risk rating model dynamically couples rainfall, water, and engineering conditions. The water conservancy emergency response topology network, constructed based on the dual dimensions of "watershed unit-administrative division," and the spatial overlay analysis module for water conservancy project BIM data and meteorological warnings, further enhance the system's intelligence level, enabling systematic linkage warnings for water conservancy facilities such as reservoirs, rivers, and flood storage areas. Customized call plans are generated based on the disaster situation, making the entire disaster response system more scientific, intelligent, and efficient, and building a solid technical defense line to protect people's lives and property. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0019] Figure 1 This is a module diagram of a meteorological and water conservancy early warning intelligent linkage call routing system provided by an embodiment of the present invention.

[0020] Figure 2 A working step diagram of a meteorological and water conservancy early warning linkage call routing method provided by another embodiment of the present invention. DETAILED DESCRIPTION

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0022] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture. If the specific posture changes, the directional indications will also change accordingly.

[0023] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features limited to "first" and "second" may explicitly or implicitly include at least one of such features. In addition, if "and / or" or "and / or" appears in the full text, its meaning includes three parallel solutions. Taking "A and / or B" as an example, it includes solution A, solution B, or solutions that satisfy both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in this field to implement. When the combination of technical solutions is mutually contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0024] Example 1

[0025] refer to Figure 1To address the technical problems encountered in the prior art, the present application provides an intelligent hierarchical early warning linkage call routing system for meteorological and water conservancy disasters, comprising: a data acquisition module for acquiring meteorological early warning data and water conservancy monitoring data in real time, wherein the meteorological early warning data includes early warning levels and meteorological element parameters, and the water conservancy monitoring data includes hydrological parameters and water conservancy project operating status parameters; a routing decision module for jointly analyzing the meteorological early warning data and water conservancy monitoring data according to preset multi-dimensional early warning fusion rules to dynamically generate a hierarchical call routing strategy, wherein the routing strategy includes at least a call object priority sequence and a call mode combination; a call execution module for executing a multi-mode early warning call based on the strategy output by the routing decision module, wherein the multi-mode early warning call includes at least one combination of voice calls, text messages, and sound and light alarms; a feedback optimization module for monitoring call response status in real time and dynamically optimizing subsequent call strategies based on response timeliness and response results; wherein the routing decision module includes a water conservancy project topology analysis unit for analyzing the spatial topological relationship of flood control projects and automatically initiating a defense linkage call to the responsible person in the downstream associated area when a specific water conservancy facility enters an early warning state.

[0026] Through standardized interfaces, meteorological warning levels and rainfall forecast data are collected in real time, simultaneously accessing water level monitoring station data, reservoir flood control instructions, and flash flood disaster monitoring information from the water conservancy department. Spatial data fusion technology is used to align the coordinates of meteorological GIS layers with water conservancy project distribution maps, constructing a digital base for the watershed, including river channels, levees, and flood storage areas. A multidimensional warning fusion model is deployed, trained with historical disaster data to form a rule base for meteorological and water conservancy parameter associations. When a red warning for heavy rain is received, the model automatically correlates real-time inflow data from reservoirs within the basin. If the combined conditions of "three-hour surface rainfall exceeding the flood control plan threshold and reservoir water levels approaching the flood limit" are detected, a cross-departmental joint response is immediately triggered. A spatial topology analysis engine analyzes the spatial correlation network of levee projects. When a piping alarm occurs on a particular levee section, a call list is automatically generated for responsible administrative districts within 10 kilometers downstream. A hierarchical call strategy is generated based on a dynamic routing algorithm. For villages at high risk of flash floods, the system combines the critical rainfall indicators set by the water conservancy department to activate a three-level progressive calling mechanism of "village-level early warning officer → township flood control person in charge → county-level commander". When there is a time conflict between the reservoir dispatching instructions and the rainstorm warning, the call task of the person responsible for flood discharge safety will be executed first, and the people in the affected area will be notified of the person responsible for evacuation at the same time. The identity of the caller is verified through voice recognition technology, and the response time from the initiation of the call to the receipt of an effective response is recorded. When the average response time of multiple persons in charge in the same early warning event exceeds the preset threshold, the priority ranking of subsequent call strategies in the area is automatically optimized. After receiving the disposal feedback from the water conservancy project management unit, the closed-loop verification unit will feed back the actual disposal effect to the early warning model parameter library to achieve system self-learning.

[0027] Furthermore, the establishment of a multi-dimensional early warning fusion mechanism includes: building a meteorological-hydraulic dual-factor early warning matrix, incorporating the river warning water levels (blue / yellow / orange / red), reservoir flood limit water levels, and geological disaster risk levels issued by the water conservancy department into the early warning parameter system; establishing a cross-departmental data fusion channel, and real-time access to hydrological monitoring station data (river water level / flow / reservoir inflow), flood control project operation status (gate opening / embankment working condition) and mountain torrent disaster monitoring data; developing an early warning coupling model based on watershed characteristics, which automatically increases the response level when the hourly rainfall exceeds the threshold of the water conservancy department's flood control plan.

[0028] It should be noted that the aforementioned early warning coupling model includes the following steps: Data preprocessing: Feature extraction of meteorological elements (rainfall intensity and duration) and hydraulic parameters (river water level rise and reservoir flood control capacity) from historical disaster cases to establish a standardized training set covering scenarios such as rainstorms, flash floods, and urban waterlogging. Association rule mining: Association analysis algorithms are used to identify the inherent connection between meteorological warning levels and hydraulic hazards. For example, when hourly rainfall exceeds 50 mm, the rate of water level rise in small and medium-sized rivers is positively correlated with the hardening rate of the underlying surface in the basin. Based on this, a rainfall-water level response coefficient matrix for different geomorphic units was established. Dynamic weight allocation: Decision factor weights are dynamically adjusted based on real-time data streams. During typhoons, the weight of storm surge monitoring data and coastal embankment operating parameters is automatically increased; during the dry season, the correlation analysis between reservoir water storage and irrigation channel operation status is emphasized.

[0029] In some embodiments, for example, in a red alert linkage response scenario for heavy rain, the system first receives the red alert signal for heavy rain issued by the meteorological station in real time through the meteorological data interface unit. The signal contains the rainfall forecast value for the next three hours and radar echo intensity information. At the same time, the water conservancy data interface unit synchronously obtains the real-time operating parameters of the five large reservoirs in the target basin, including key indicators such as the current water level, inflow, and flood gate opening. The spatial data fusion unit performs spatial overlay analysis on the heavy rain area forecast map provided by the meteorological department and the watershed water system distribution map of the water conservancy department. The coordinate conversion algorithm is used to eliminate the projection deviation of different data sources to generate a comprehensive situation map containing rainfall contour lines, river water level stations, and reservoir dam locations.

[0030] The multidimensional early warning fusion model initiates a complex condition determination process, dynamically comparing real-time rainfall intensity data with the threshold parameters in the reservoir flood control and dispatch plan. When the system detects that the average rainfall in the sub-basin where a reservoir is located has exceeded the historical extreme value for the same period, and the reservoir water level rise rate within one hour reaches the emergency threshold specified in the design flood control standard, the model automatically triggers a Level I emergency response command. At this point, the spatial topology analysis engine immediately intervenes. Based on a pre-built digital twin model of the water conservancy project, it analyzes the topological connectivity of the river downstream of the reservoir and, combined with the river longitudinal profile data in the digital elevation model, deduces the administrative regions that may be affected during the flood's evolution.

[0031] Based on the simulation results, the routing decision module generates a multi-threaded call strategy. It first sends an encrypted dispatch instruction containing the recommended flood discharge flow rate to the chief technical officer of the reservoir management unit. This instruction is transmitted via a dedicated government network and requires biometric verification by the recipient to ensure information security. Simultaneously with the initiation of the flood discharge, the system automatically searches the database of flood control officers in the affected downstream areas. Combining administrative division layers with real-time population heat map data, it prioritizes voice calls to densely populated township-level flood control commanders within the flood risk area. The call content is dynamically generated using speech synthesis technology and includes current water and rainfall data, the estimated peak flood arrival time, and recommended emergency measures. If the system detects that two consecutive calls to a township-level officer's office phone have been unanswered, the intelligent retry unit immediately activates the emergency communication protocol and simultaneously pushes the warning information to the officer's government mobile terminal and the emergency broadcast system within the jurisdiction via a converged communication gateway, ensuring multi-channel reach.

[0032] At the provincial flood control command center, the system automatically connects to a video conferencing link, integrating and displaying real-time monitoring footage of key reservoirs, downstream river water level curves, and a dashboard showing the responsible individual's response status. When the on-duty leader of the provincial flood control office answers the call, the system verifies their identity through voiceprint recognition technology, then initiates a multi-department joint dispatch process and automatically generates an emergency response proposal that includes a material allocation plan, evacuation routes, and traffic control measures. Timeline data for the entire early warning response process is transmitted back in real time to the feedback optimization module. By analyzing response delay data at each stage, the system automatically optimizes the callee sorting rules and communication channel selection strategies for subsequent similar incidents.

[0033] The routing decision module also includes a dynamic priority calculation unit, which adjusts the call order based on the real-time risk level of the disaster-affected area. When a preset watershed characteristic parameter reaches a flood control plan threshold, it automatically increases the call priority of the person in charge of the corresponding area. A semantic analysis unit is used to parse key water conservancy parameters in the warning text, including but not limited to river warning water levels, reservoir flood control instructions, and levee working conditions. The call execution module includes an intelligent retry unit, which, when an initial call fails to receive a valid response, initiates a progressive retry mechanism at preset intervals. This retry mechanism includes call target escalation rules and call method enhancement rules. A cross-level jump unit automatically skips the current call target level and initiates a call to a higher-level person in charge after a preset number of consecutive unanswered call attempts. The feedback optimization module includes a response time evaluation unit, which records the time interval from call initiation to receiving a valid response, triggering a policy adjustment instruction when the preset response time limit is exceeded. A closed-loop verification unit is used to confirm the identity of the callee through voice recognition technology and automatically generates a message delivery completion certificate after receiving a valid response. The routing decision module also includes a composite warning analysis unit, which generates a cross-departmental joint response strategy when the meteorological warning level and water conservancy monitoring parameters meet preset composite warning conditions. The joint response strategy includes instructions for concurrently calling members of the flood control headquarters and responsible persons in the associated administrative districts. The system also includes a water conservancy project impact analysis unit, which performs spatial overlay analysis on water conservancy facility BIM model data and real-time meteorological warning data, automatically identifies a list of water conservancy facilities potentially affected by heavy rain, and generates a targeted call plan for responsible project maintenance personnel.

[0034] Example 2

[0035] refer to Figure 2 The present invention also provides an embodiment, a meteorological and water conservancy warning linkage call routing method, which is applied to the above-mentioned meteorological and water conservancy disaster intelligent hierarchical warning linkage call routing system, including: real-time acquisition of meteorological warning data and water conservancy monitoring data, the meteorological warning data including warning level and meteorological element parameters, the water conservancy monitoring data including hydrological parameters and water conservancy project operation status parameters; joint analysis of meteorological warning data and water conservancy monitoring data according to preset multi-dimensional warning fusion rules, and dynamic generation of hierarchical call routing strategies, the routing strategies at least including call object priority sequence and call mode combination; executing multi-mode warning calls based on the output strategies, the multi-mode warning calls including voice calls, text messages and sound and light alarms; real-time monitoring of call response status, and dynamic optimization of subsequent call strategies based on response timeliness and answer results.

[0036] Furthermore, the method also includes constructing a meteorological-hydraulic dual-factor early warning matrix, incorporating the river warning water level level, reservoir flood limit water level, and geological disaster risk level issued by the water conservancy department into the early warning parameter system; establishing a cross-departmental data fusion channel, and accessing hydrological monitoring station data, flood control project operation status data, and mountain torrent disaster monitoring data in real time; using a meteorological semantic recognition module and a newly added water-rainfall semantic analyzer to parse meteorological elements and water conservancy professional terms respectively to obtain key parameters; through a warning coupling model based on watershed characteristics, the early warning level is determined according to the key parameters and the flood control plan threshold of the water conservancy department; the call object and call order are determined according to a pre-set water conservancy special response strategy library dynamically bound to the warning level; using a background communication robot to send disaster monitoring real-time status, forecast and warning conditions, risk warnings, and disaster information to the call object through sound and light, voice calls, and text messages; receiving the response feedback of the call object, and when the response feedback meets the preset response conditions, the information transmission closed loop is completed.

[0037] In some embodiments, for example, for the three-level progressive call scenario of flash flood disasters, the system first obtains real-time water level data from the hydrological monitoring stations deployed along the flash flood ditch, and combines it with the radar inversion rainfall product provided by the meteorological department to calculate the average rainfall in the current basin. When the system identifies that the hourly rainfall value of a certain monitoring station exceeds the critical rainfall threshold for flash flood disasters set by the water conservancy department, the flash flood emergency response mechanism is immediately activated. At this time, the water conservancy project impact analysis unit retrieves the flash flood disaster investigation and evaluation database of the area, which contains structured data such as historical flash flood inundation range, danger zoning results, and contact information of village-level responsible persons.

[0038] Based on a preset rainfall-water level response model, the system simulates the evolution of channel flooding under current rainfall conditions and dynamically adjusts the flash flood risk range by combining geomorphological parameters such as slope and vegetation coverage in the digital terrain model. When the prediction results show that an administrative village is located in a flash flood risk area, the spatial topology analysis engine automatically links the village's emergency responsibility system and generates a three-level contact list including village-level early warning officers, township village cadres, and county-level technical experts. The call execution module first sends an encrypted text message containing the warning level and a map of the danger zone to the personal mobile terminal of the village-level early warning officer and requires the recipient to confirm receipt on the government app. If the system does not receive an electronic receipt within the preset time, the voice call process is automatically triggered, and the key points of emergency response are broadcast to the early warning officer using dialect speech synthesis technology.

[0039] Once the village-level early warning officer completes the initial assessment of the dangerous situation and reports the on-site situation through the system, the township-level flood control command platform automatically receives a progress dashboard pushed by the system. If the system detects that a village's early warning response time exceeds the preset safety threshold, or if the water level rise rate reported by the automatic water level monitoring station is abnormally high, the response level will be immediately upgraded and a video call request will be initiated directly to the township flood control command center's duty room. Once the video call is connected, the system verifies the caller's identity through facial recognition technology and simultaneously overlays the video with a 3D situation map of the dangerous area, a map of the distribution of available rescue forces, and other decision-making support information.

[0040] At the county-level command level, the system automatically generates a comprehensive assessment report on flash flood risks for the entire county by analyzing the early warning response status of multiple related villages. When more than 30% of the early warning points experience response delays, the system automatically triggers the bypass call mechanism and directly initiates a priority call to the government terminal of the commander of the county-level flood control and drought relief headquarters. Throughout the entire handling process, the feedback optimization module continuously collects response timeliness data and handling measure effectiveness data from each link, and optimizes the rainfall-disaster correlation parameters in the flash flood early warning model through machine learning algorithms. The system also converts the best practices in successful handling cases into standardized handling processes. When a similar scenario occurs again, it automatically adds historical handling experience prompt information to the call content, forming a closed-loop mechanism for knowledge accumulation and capability iteration.

[0041] It should be noted that the dynamic routing decision-making process also includes the following: when critical rainfall for flash flood disasters is detected, a three-level progressive call mechanism is activated, and calls are made to the operating personnel in sequence; when a dangerous situation warning is issued for a flood control project, multiple consultation calls are simultaneously made to the downstream related areas based on the project topology. The machine learning model is trained based on historical response data to optimize the matching rules between warning levels and call strategies; the water conservancy project impact analysis parameter library is regularly updated, and the emergency response topology of the basin unit is dynamically adjusted based on the revision of the flood control plan.

[0042] In summary, the present invention provides a method and system for intelligent, graded early warning and call routing for meteorological and water conservancy disasters. By establishing a deep fusion mechanism and intelligent analysis system for meteorological and water conservancy data, it achieves multiple technological breakthroughs and improved practical results in the field of disaster emergency response. The system integrates meteorological warning levels, actual rainfall data, and water conservancy project operating parameters in real time through a cross-departmental data interface. This innovatively establishes a multi-dimensional parameter coupling analysis model, effectively addressing the response lag caused by data silos in traditional early warning systems. This multi-dimensional early warning fusion model, trained with historical disaster data and dynamically updated with real-time data streams, accurately identifies the complex risk characteristics of disasters such as rainstorms and flash floods. When a superposition effect between meteorological warning levels and water conservancy monitoring parameters is detected, a cross-departmental coordinated response mechanism is automatically triggered, significantly improving the spatiotemporal resolution of risk assessment. A spatial topology analysis engine analyzes the spatial correlation network and administrative responsibility system of water conservancy facilities to establish a three-dimensional response architecture. This dual optimization enables intelligent deduction of impact areas and precise location of responsible individuals in scenarios such as river embankment hazards and reservoir flood discharge scheduling, significantly improving the accuracy of selecting the recipients of early warning information. The dynamic routing strategy generation mechanism significantly compresses the response chain while ensuring the reliability of early warning information transmission through the organic combination of progressive calls, intelligent retries, and cross-level jumps. In typical scenarios, the closed-loop efficiency from early warning issuance to the completion of multi-level responsible person calls has been greatly improved compared with traditional methods. The closed-loop feedback system continuously optimizes the early warning model parameters and call strategy rules through machine learning, so that the system has the ability to adapt to extreme weather variability and dynamic changes in the status of water conservancy projects. In recent years, in actual combat operations such as typhoons and heavy rainstorms, it has effectively shortened the response delay of grassroots responsible persons and successfully curbed the escalation of dangerous situations many times. This technical solution reconstructs the emergency response paradigm for meteorological and water conservancy disasters through intelligent means, and has achieved systematic breakthroughs in improving the timeliness of early warnings, enhancing the coordination capabilities of multiple departments, and optimizing the allocation of emergency resources. It provides a reusable technical infrastructure for building a new type of smart disaster prevention system.

[0043] The above description is only a preferred embodiment of the present invention and does not limit the patent scope of the present invention. All equivalent structural transformations made by using the contents of the present invention description and drawings under the inventive concept of the present invention, or direct / indirect application in other related technical fields are included in the patent protection scope of the present invention.

Claims

1. An intelligent graded warning linkage call routing system for meteorological and water disasters, characterized by: include: A data acquisition module is used to obtain meteorological warning data and water conservancy monitoring data in real time. The meteorological warning data includes warning levels and meteorological element parameters, and the water conservancy monitoring data includes hydrological parameters and water conservancy project operation status parameters; The routing decision module is used to jointly analyze meteorological warning data and water conservancy monitoring data according to preset multi-dimensional warning fusion rules, and dynamically generate a hierarchical call routing strategy. The routing strategy at least includes a call object priority sequence and a call method combination; A call execution module is used to execute multi-mode warning calls based on the strategy output by the routing decision module. The multi-mode warning calls include voice calls, text messages, and sound and light alarms. Feedback optimization module, used to monitor call response status in real time and dynamically optimize subsequent call strategies based on response time and answer results; The routing decision module includes a water conservancy project topology analysis unit, which is used to analyze the spatial topology relationship of flood control projects. When a specific water conservancy facility is in an early warning state, a defense linkage call is automatically initiated to the person in charge of the downstream related area.

2. The meteorological and water conservancy disaster intelligent graded warning linkage call routing system according to claim 1 is characterized in that: The data acquisition module also includes: Meteorological data interface unit, used to receive warning level information and actual monitoring data issued by the meteorological department; Water conservancy data interface unit, used to access watershed water level monitoring data, reservoir operation parameters and mountain torrent disaster monitoring data from the water conservancy department; The spatial data fusion unit is used to unify the coordinate systems of meteorological GIS data and water conservancy project spatial distribution data.

3. The meteorological and water disaster intelligent graded warning linkage call routing system according to claim 1 is characterized in that: The routing decision module also includes: A dynamic priority calculation unit adjusts the call order based on the real-time risk level of the disaster-affected area. When the preset basin characteristic parameters are monitored to reach the flood control plan threshold, the call priority of the person in charge of the corresponding area is automatically increased; The semantic analysis unit is used to parse the key water conservancy element parameters in the warning text. The key water conservancy element parameters include river warning water level data, reservoir flood control instruction data and embankment working condition information data.

4. The meteorological and water disaster intelligent graded warning linkage call routing system according to claim 1 is characterized in that: The call execution module also includes: Intelligent retry unit, when the first call does not receive an effective response, starts a progressive retry mechanism at preset time intervals. The retry mechanism includes call object upgrade rules and call method enhancement rules; The cross-level jump unit automatically skips the current call object level and initiates a call to a higher-level responsible person after a preset number of consecutive call attempts are not answered.

5. The meteorological and water conservancy disaster intelligent graded warning linkage call routing system according to claim 1 is characterized in that: The feedback optimization module includes: Response time evaluation unit, used to record the time interval from call initiation to obtaining a valid response, and trigger a policy adjustment instruction when the preset response time limit is exceeded; The closed-loop verification unit is used to confirm the identity of the caller through voice recognition technology and automatically generate a certificate of completion of information delivery after obtaining a valid response.

6. The meteorological and water disaster intelligent graded warning linkage call routing system according to claim 1 is characterized in that: The routing decision module also includes: The composite warning analysis unit is used to generate a cross-departmental joint response strategy when the meteorological warning level and water conservancy monitoring parameters meet the preset composite warning conditions. The joint response strategy includes instructions for parallel calls to member units of the flood control command and responsible persons of related administrative regions.

7. The meteorological and water disaster intelligent graded warning linkage call routing system according to claim 1 is characterized in that: The system further comprises: The water conservancy project impact analysis unit is used to perform spatial overlay analysis on the BIM model data of water conservancy facilities and real-time meteorological warning data, automatically identify the list of water conservancy facilities that may be affected by heavy rain, and generate targeted call plans for project maintenance responsible persons.

8. A meteorological and water conservancy early warning linkage call routing method based on the system according to any one of claims 1 to 7, characterized in that: include: Acquire meteorological warning data and water conservancy monitoring data in real time, the meteorological warning data including warning levels and meteorological element parameters, and the water conservancy monitoring data including hydrological parameters and water conservancy project operation status parameters; Combined analysis of meteorological warning data and water conservancy monitoring data is performed based on preset multi-dimensional warning fusion rules to dynamically generate a hierarchical call routing strategy, which at least includes a call object priority sequence and a call mode combination; Executing a multi-mode warning call based on the output strategy, the multi-mode warning call including voice call, text message and sound and light alarm; Monitor call response status in real time and dynamically optimize subsequent call strategies based on response time and answer results.

9. The meteorological and water conservancy early warning linkage call routing method according to claim 8, characterized in that: The dynamic routing decision process also includes: When critical rainfall for flash flood disasters is monitored, a three-level progressive call mechanism is activated, and calls are made to the operating personnel in sequence; when a dangerous situation warning occurs in a flood control project, multiple consultation calls are simultaneously initiated to the downstream related areas based on the project topology.

10. The meteorological and water conservancy early warning linkage call routing method according to claim 8, characterized in that: Also includes: Train machine learning models based on historical response data to optimize the matching rules between warning levels and call strategies; Regularly update the water conservancy project impact analysis parameter library, and dynamically adjust the emergency response topology relationship of the basin unit based on the revision of the flood control plan.

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