Gis-based regional monitoring method and related device

Abstract

The application discloses a regional monitoring method based on GIS and related equipment. The method comprises the following steps: storing spatial element data of a monitoring object in a GIS system in a standard GIS data format; dividing a detection area based on management demand information to obtain management block data, so as to associate the spatial element data of the monitoring object with the management block data; and combining multi-source monitoring data associated with a received emergency event with an emergency spatial analysis model to generate a spatial situation research and judgment result. The method can solve the problems that a single regional emergency management solution exists in a monitoring blind area, it is difficult to guarantee the regional coverage completeness of monitoring data, there is a lack of spatial reference data standard, it is difficult to share and integrate monitoring data of different sources and different coordinates, the comprehensive emergency analysis of the spatial dimension is weakened, the comprehensive utilization of large-scale data is limited, and there is a lack of sufficient flexibility.

Description

Technical Field

[0001] The embodiments of this application relate to the field of emergency monitoring, and more specifically, the present invention relates to a GIS-based regional monitoring method and related equipment. Background Technology

[0002] With the rapid development of remote sensing technology, sensor technology, geographic information systems, artificial intelligence, and other fields, the continuous maturation and widespread application of various technologies have provided technical support for regional monitoring and emergency management. In recent years, natural disasters, environmental pollution, public health emergencies, and other sudden events have occurred frequently, placing higher demands on emergency management. Against this backdrop, the ability to monitor and respond to various emergency situations within the region has become a top priority.

[0003] Existing regional monitoring and emergency analysis technologies mainly include the following:

[0004] Remote sensing monitoring: Using remote sensing data acquired by satellites, aircraft, etc., it is possible to monitor and analyze surface information within a region, including landforms, vegetation cover, and water changes. This method can acquire surface information over a large area, but its disadvantages include a certain lag in data acquisition, high equipment costs, limitations in spatiotemporal resolution, and susceptibility to factors such as cloud cover and atmospheric conditions.

[0005] Sensor networks: This method deploys sensors in multiple locations to collect environmental data in real time, providing real-time monitoring and early warning capabilities for the area. This method is simple to implement and relatively inexpensive, but the deployment of a large number of sensors leads to high maintenance costs and limited monitoring range. Summary of the Invention

[0006] The summary section introduces a series of simplified concepts, which will be further explained in detail in the detailed description section. The summary section of this invention is not intended to limit the key features and essential technical features of the claimed technical solution, nor is it intended to determine the scope of protection of the claimed technical solution.

[0007] To address the issues of blind spots in single-source regional emergency management solutions, which compromise the completeness of regional data coverage; the lack of spatial reference data standards, which hinders the sharing and integration of monitoring data from different sources and coordinates, weakening comprehensive spatial emergency analysis and limiting the integrated utilization of large-scale data; and the fact that existing monitoring models and algorithms may not fully cover all situations due to the complex and diverse regional environments, resulting in inaccurate predictions and analyses, and that monitoring systems and equipment can only be designed for specific scenarios, lacking sufficient flexibility, this invention proposes a GIS-based regional monitoring method. This method includes:

[0008] The spatial element data of the monitored objects are entered into the GIS system in a standard GIS data format.

[0009] Based on management needs information, the detection area is divided to obtain management area data, so as to associate the spatial element data of the monitored objects with the management area data;

[0010] The received multi-source monitoring data associated with emergency events are combined with the emergency spatial analysis model to generate spatial situation assessment results.

[0011] Optionally, the step of combining the received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results includes:

[0012] Obtain management area data associated with emergency events to determine the corresponding target emergency space analysis model;

[0013] Based on the target emergency space analysis model, combined with the multi-source monitoring data associated with the emergency event, the management area data associated with the emergency event, and the spatial element data associated with the emergency event, a spatial situation assessment result is generated.

[0014] Optionally, the step of obtaining management area data associated with emergency events to determine the corresponding target emergency spatial analysis model includes:

[0015] Obtain the preset emergency strategy corresponding to the management area associated with the emergency event;

[0016] Based on the preset emergency strategy, a corresponding target emergency space analysis model is constructed.

[0017] Optionally, the step of combining the received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results includes:

[0018] Based on the preset emergency strategy, the input multi-source monitoring data is filtered and combined to form target multi-source monitoring combined data and related analysis algorithms;

[0019] An emergency spatial analysis model is constructed based on the target multi-source monitoring combined data, the analysis algorithm, the management area data associated with the emergency event, and the spatial element data associated with the emergency event, in order to generate spatial situation assessment results.

[0020] Optional, also includes:

[0021] Based on the spatial situation assessment results, a grid-based linkage and reinforcement analysis is conducted using path analysis and resource allocation algorithms within the GIS system.

[0022] Optionally, the multi-source monitoring data includes public opinion data, and the step of combining the received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results includes:

[0023] The social sentiment data associated with the emergency event is spatially correlated with the spatial element data and the management area data to generate multi-source monitoring combined data;

[0024] By combining the correlated multi-source monitoring data with the emergency spatial analysis model, the affected area and the scope of the event's impact can be generated.

[0025] Optional, also includes:

[0026] Based on the spatial situation analysis requirements, key information point acquisition requests are generated for target public opinion publishing users and target public opinion publishing pages. The key information point acquisition requests include: key text information acquisition requests and key image information acquisition requests.

[0027] The feedback data from the requests for obtaining the key information points are analyzed to obtain key data related to the emergency event in order to expand the multi-source monitoring data.

[0028] Secondly, the present invention also proposes a GIS-based regional monitoring device, comprising:

[0029] In the data entry unit, users input spatial feature data of the monitored objects into the GIS system in a standard GIS data format.

[0030] The association unit is used to divide the detection area based on management needs information to obtain management area data, so as to associate the spatial element data of the monitored object with the management area data;

[0031] The analysis unit is used to combine the received multi-source monitoring data associated with emergency events with the emergency spatial analysis model to generate spatial situation assessment results.

[0032] Thirdly, an electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program stored in the memory to implement the steps of the GIS-based regional monitoring method as described in any of the first aspects above.

[0033] Fourthly, the present invention also proposes a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the GIS-based regional monitoring method of any of the preceding claims of the first aspect.

[0034] In summary, the GIS-based regional monitoring method proposed in this application involves: inputting the spatial element data of the monitored objects into a GIS system in a standard GIS data format; dividing the monitoring area based on management needs information to obtain management zone data, and then associating the spatial element data of the monitored objects with the management zone data; and combining the received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results. This facilitates the integration of multi-source monitoring data and model algorithms, provides intuitive geographic information display through GIS maps, comprehensively manages remote sensing raster and sensor point data through a spatial element database, and enables flexible configuration and operation of monitoring model algorithms using spatial analysis models, thereby improving the intuitiveness, accuracy of assessment, and flexibility of emergency response and handling in regional monitoring and emergency management.

[0035] The GIS-based regional monitoring method of the present invention, and other advantages, objectives and features of the present invention will be partly apparent from the following description, and partly understood by those skilled in the art through study and practice of the present invention. Attached Figure Description

[0036] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit this specification. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0037] Figure 1 This application provides a schematic diagram of a GIS-based regional monitoring method.

[0038] Figure 2 This is a schematic diagram of another GIS-based regional monitoring method provided in an embodiment of this application;

[0039] Figure 3 A schematic diagram of a GIS-based regional monitoring device is provided as an embodiment of this application;

[0040] Figure 4 A schematic diagram of a regional monitoring system structure is provided as an embodiment of this application;

[0041] Figure 5 This is a schematic diagram of a GIS-based regional monitoring electronic device provided in an embodiment of this application. Detailed Implementation

[0042] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus. The technical solutions of the embodiments of this application will now be clearly and completely described in conjunction with the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them.

[0043] To address the issues of blind spots in single-source regional emergency management solutions, which compromise the completeness of regional data coverage; the lack of spatial reference data standards hinders the sharing and integration of monitoring data from different sources and coordinates, weakening comprehensive spatial emergency analysis and limiting the integrated utilization of large-scale data; and the complexity and diversity of regional environments mean that existing monitoring models and algorithms may not fully cover all situations, leading to inaccurate predictions and analyses, and monitoring systems and equipment that are designed for specific scenarios and lack sufficient flexibility, please refer to [the relevant documentation / reference]. Figure 1 This is a schematic diagram of a GIS-based regional monitoring method provided in an embodiment of this application, which may specifically include steps S110 to S140.

[0044] S110, the spatial element data of the monitored object is entered into the GIS system in a standard GIS data format.

[0045] For example, spatial feature data may include the location and geographical features of monitoring stations, monitored plots, roads, rivers, etc. This may require spatial feature processing to meet GIS data requirements and spatial reference standards.

[0046] S120: The detection area is divided based on management requirements information to obtain management area data, so as to associate the spatial element data of the monitored object with the management area data.

[0047] For example, collect relevant data about the monitoring area, including administrative boundary data, topographic data, and population distribution data. If necessary, preprocess the data to ensure its format conforms to the requirements of the GIS system. In the GIS system, use administrative boundary data or other appropriate reference data to divide the monitoring area into management zones. This can be achieved using spatial analysis tools such as cutting and merging polygon layers, or generating grids according to certain rules. Assign attribute information to each management zone, such as emergency response personnel, emergency resources, and rescue forces. These attributes can be achieved by creating a management zone attribute table and associating it with geospatial data. Import the management zone data into the GIS system. This includes the boundary data of the management zones and their associated attribute information. This data can be imported into the GIS system as vector layers for subsequent spatial analysis and visualization. Perform spatial feature-based data processing on the monitored objects to meet the data requirements of the GIS system. This may involve importing elements such as monitoring stations, monitored plots, monitored roads, and rivers into the GIS system in a standard vector data format, ensuring their spatial geometry is correct. The spatial element data of the monitored objects are linked with the data of the management areas to ensure the correlation between the monitored object data and the management areas they belong to. At the same time, real-time data updates are ensured to reflect the latest information on the monitored objects and the attributes of the management areas.

[0048] S130 combines the received multi-source monitoring data associated with emergency events with the emergency spatial analysis model to generate spatial situation assessment results.

[0049] For example, the visualization and analysis capabilities of a GIS system can be used to perform spatial analysis and emergency simulations of the managed area and monitored objects. You can use tools provided by the GIS system to perform buffer analysis, path analysis, hotspot analysis, etc., to assist in emergency decision-making and response processes.

[0050] For example, assuming the need to simulate the spread of a certain environmental pollutant, spatial interpolation algorithms in GIS, such as Kriging interpolation or inverse distance weighted interpolation, can be used to estimate the distribution of the pollutant throughout the region based on existing monitoring station data. This helps predict the extent of pollutant spread and aids in developing emergency response plans. Monitoring station data can be used to provide real-time or historical monitoring data of environmental pollutants to determine the pollutant concentration at each monitoring point. Geographic information data, including topography, land cover, and other data, can be used to assist in constructing the interpolation model.

[0051] Suppose there is a chemical plant in a certain area. To understand the potential affected area in the event of an accident at the plant, the buffer analysis function in GIS can be used to create a series of buffer zones around the chemical plant, representing different impact ranges. This helps identify potentially affected areas and implement appropriate emergency measures. Specifically, the chemical plant's location data can be used to determine the center point of the buffer analysis, representing the location of the potential accident source. Road network data is used to ensure that the results of the buffer analysis match actual road conditions, helping to determine emergency response routes.

[0052] In summary, the GIS-based regional monitoring method provided in this application involves: inputting the spatial element data of the monitored object into a GIS system in a standard GIS data format; dividing the monitoring area based on management needs information to obtain management area data, and then associating the spatial element data of the monitored object with the management area data; and combining the received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results. This facilitates the integration of multi-source monitoring data and model algorithms, provides intuitive geographic information display through GIS maps, comprehensively manages remote sensing raster and sensor point data through a spatial element database, and utilizes spatial analysis models to achieve flexible configuration and operation of monitoring model algorithms, thereby improving the intuitiveness, accuracy of assessment, emergency response, and flexibility of handling in regional monitoring and emergency management.

[0053] According to some embodiments, the step of combining received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results includes:

[0054] Obtain management area data associated with emergency events to determine the corresponding target emergency space analysis model;

[0055] Based on the target emergency space analysis model, combined with the multi-source monitoring data associated with the emergency event, the management area data associated with the emergency event, and the spatial element data associated with the emergency event, a spatial situation assessment result is generated.

[0056] According to some embodiments, the step of obtaining management area data associated with emergency events to determine the corresponding target emergency space analysis model includes:

[0057] Obtain the preset emergency strategy corresponding to the management area associated with the emergency event;

[0058] Based on the preset emergency strategy, a corresponding target emergency space analysis model is constructed.

[0059] According to some embodiments, the step of combining received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results includes:

[0060] Based on the preset emergency strategy, the input multi-source monitoring data is filtered and combined to form target multi-source monitoring combined data and related analysis algorithms;

[0061] An emergency spatial analysis model is constructed based on the target multi-source monitoring combined data, the analysis algorithm, the management area data associated with the emergency event, and the spatial element data associated with the emergency event, in order to generate spatial situation assessment results.

[0062] For example, various data related to emergency events can be collected, including geographic information data (such as topography and transportation networks), population distribution data, resource distribution data, and environmental parameter data (such as meteorological and hydrological data). Ensure that this data covers the area of ​​interest and has a certain spatiotemporal resolution. In a GIS environment, combine input data sources, analysis algorithms, and environmental parameters to construct a spatial analysis model of the emergency event. This model can include analytical methods such as buffer analysis and intersection analysis, as well as specific algorithms and models for specific emergency event types. For example, for flood events, you can construct a water level change model and an inundation range model; for fire events, you can construct a fire spread model. Combine various input data sources into the model and perform necessary data processing and preprocessing. This may include data projection transformation, data fusion, and data matching to ensure consistency and coherence between different data levels. Debug and validate the constructed spatial analysis model. This includes sensitivity analysis of model parameters and verification and validation of model results to ensure the model's accuracy and reliability. Based on the emergency response plan, use the constructed spatial analysis model to assess the spatial situation of the emergency event. This may include identifying affected areas, determining rescue routes, and assessing resource availability. Methods such as buffer zone analysis and intersection analysis can be used to quickly understand the scope of an emergency's impact and key areas.

[0063] According to some embodiments, it also includes:

[0064] Based on the spatial situation assessment results, a grid-based linkage and reinforcement analysis is conducted using path analysis and resource allocation algorithms within the GIS system.

[0065] For example, based on model analysis results, grid-based coordinated reinforcement can be implemented. Rescue forces can be rationally allocated and coordinated to support different areas based on their urgency and resource needs. This can be achieved through path analysis and resource allocation algorithms within a GIS system, ensuring that rescue resources can cover the affected area to the greatest extent possible and reach the scene as quickly as possible.

[0066] For example, such as Figure 2As shown, management zones can be divided according to administrative units within the monitoring area. The objects to be monitored are processed into spatial element data, forming element vector data conforming to spatial reference standards, which is then imported into the database and mapped. Data and analysis tools are combined, and an emergency analysis model is constructed and debugged according to spatial topological logic. The system can display all imported monitoring element spatial data according to latitude and longitude coordinates. During monitoring: Management zones are divided using the regional administrative or emergency system organizational management model. Spatial grid surface element data is imported into the GIS system, and the grid is assigned attributes corresponding to the management zone, including information such as emergency leaders, emergency resources, and rescue forces. Key monitoring objects in the region are spatially vectorized and imported into the database and mapped according to the general GIS data format standards, such as monitoring stations, monitored plots, monitored roads and rivers. Mapping is standardized by point, line, and surface elements, and data is uniformly updated and presented in the GIS system. During emergency analysis: A GIS spatial analysis model is constructed based on the region's emergency strategy. By combining different input data sources, analysis algorithms, and environmental parameters, a spatial analysis model based on the emergency response plan is formed. Spatial situation assessment of emergency events and grid-based coordinated support are conducted using analysis methods such as buffer zones and intersection analysis.

[0067] According to some embodiments, the multi-source monitoring data includes public opinion data, and the step of combining the received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results includes:

[0068] The social sentiment data associated with the emergency event is spatially correlated with the spatial element data and the management area data to generate multi-source monitoring combined data;

[0069] By combining the correlated multi-source monitoring data with the emergency spatial analysis model, the affected area and the scope of the event's impact can be generated.

[0070] For example, spatial correlation can be established between public opinion data and spatial data (such as geographic information data and sensor data) to help identify potential disaster areas and the scope of impact of emergency events. For instance, by analyzing trending events and keywords in public opinion data and combining them with geographic location information, potential emergencies such as fires and explosions in a particular area can be identified, allowing for timely emergency response. In grid-based coordinated support and relief efforts, using public opinion data as a crucial reference factor can help optimize resource allocation and emergency response. For example, based on trending areas and keywords identified through public opinion data analysis, combined with other data (such as population density and transportation networks), it can be determined which areas require priority for deploying rescue teams or mobilizing resources. Simultaneously, utilizing public opinion data allows for timely understanding of public needs and sentiments, thereby better guiding rescue operations and resource allocation.

[0071] According to some embodiments, it also includes:

[0072] Based on the spatial situation analysis requirements, key information point acquisition requests are generated for target public opinion publishing users and target public opinion publishing pages. The key information point acquisition requests include: key text information acquisition requests and key image information acquisition requests.

[0073] The feedback data from the requests for obtaining the key information points are analyzed to obtain key data related to the emergency event in order to expand the multi-source monitoring data.

[0074] It's understandable that limited monitoring data is available in some spaces and areas. Therefore, it's crucial to fully utilize user-generated public opinion information online, such as recorded videos or related text descriptions, as a data source to aid in spatial situation assessment of emergency events. The system can leverage user devices and locations within social media feeds, sending requests for key information points to target users and pages based on spatial situation assessment needs. These requests include requests for key text information and key image information. Through these requests, the system can acquire relevant information such as text descriptions, images, and videos posted by users. The acquired key information points are then fed back by the system, which needs to analyze this feedback data. The purpose of this analysis is to extract key data related to the emergency event from the user-generated public opinion information. This may involve technologies such as text content analysis and image content recognition to ensure that the extracted information is relevant to the emergency event. By analyzing the feedback data, the system can obtain key data related to the emergency event. This data can be combined with other monitoring data to expand the scope and content of multi-source monitoring data. For example, if a user posts a video about a fire in a certain area, the system can extract key information such as the location, time, and size of the fire from the video and add it to the monitoring data for analysis.

[0075] For example, the filtering and debunking of acquired public opinion information can be achieved through this feedback data; for instance, video data is more credible than direct text descriptions. For user-posted public opinion information, credibility can be assessed based on the publisher's identity, history, and authentication information. For example, announcements from official media or government departments are generally more credible, while information from unknown or unverified accounts requires additional verification. If multiple sources publish similar or consistent information about the same event, the credibility of this information may be higher. The system can compare information from different sources and weight or prioritize consistent information. For emergency events, the time and location of occurrence should be consistent. The system can compare information from different sources to check the spatiotemporal consistency of the event and further verify inconsistent information. For text descriptions or video content, the internal logic can be analyzed for rationality. For example, are there contradictions, or does it conform to known facts? The system can utilize natural language processing and image recognition technologies to analyze the logical structure and authenticity of information content.

[0076] Please see Figure 3 One embodiment of the GIS-based regional monitoring device in this application may include:

[0077] In storage unit 21, users input spatial feature data of the monitored objects into the GIS system in a standard GIS data format;

[0078] The association unit 22 is used to divide the detection area based on management demand information to obtain management area data, so as to associate the spatial element data of the monitored object with the management area data;

[0079] Analysis unit 23 is used to combine the received multi-source monitoring data associated with emergency events with the emergency spatial analysis model to generate spatial situation assessment results.

[0080] In summary, the GIS-based regional monitoring device provided in this application imports the spatial element data of the monitored object into the GIS system in a standard GIS data format; divides the monitoring area based on management needs information to obtain management area data, and associates the spatial element data of the monitored object with the management area data; and combines the received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results. This facilitates the integration of multi-source monitoring data and model algorithms, provides intuitive geographic information display through GIS maps, comprehensively manages remote sensing raster and sensor point data through a spatial element database, and utilizes spatial analysis models to achieve flexible configuration and operation of monitoring model algorithms, thereby improving the intuitiveness, accuracy of assessment, emergency response, and flexibility of handling in regional monitoring and emergency management.

[0081] For example, the above-described GIS-based regional monitoring method can be applied to a GIS-based regional monitoring system, which may include a regional monitoring and emergency analysis system and a back-end data model service and management center.

[0082] For example, the aforementioned regional monitoring and emergency analysis system is responsible for combining spatial and non-spatial data of the monitored area to perform spatial analysis, data visualization, and decision support, providing intuitive geographic information displays, including layer directories, map windows, spatial analysis, and information panels. It can have layer operation, map operation, time-series projection, spatial query, and spatial analysis functions. The layer operation function manages and displays data from different layers, including geographic information, sensor data, and remote sensing data. Users can select the layers to display or analyze through the layer directory and perform layer overlay and visualization adjustments. The map operation function is the core interface of the system, including map windows and map interaction tools. The map window displays the spatial distribution of geographic information and various data layers. Users can browse and navigate the map using map interaction tools such as panning and zooming, and obtain detailed feature attributes and distribution information of areas of interest. The time-series projection module can predict and project the future using historical data and model algorithms. Users can select the time range and parameter settings, and the system will perform projection analysis based on historical monitoring data and algorithm models, generating predicted data for future time series on the map to aid in decision-making and emergency planning. The spatial query module allows for data querying and filtering based on specific spatial conditions and attributes. Users can draw query areas or select query criteria in the map window, and the system will return datasets that meet the criteria, which can then be further analyzed and displayed. The spatial analysis module provides more advanced spatial analysis tools, such as buffer analysis, intersection analysis, and path analysis. These tools can be used to identify geographic patterns, detect anomalies, and optimize resource allocation, providing strong support for emergency response and decision-making.

[0083] For example, the aforementioned backend data model service and management center can realize functions such as access, registration, publishing, and service management of multi-source data and models. The data catalog and analysis model configuration can be customized and expanded according to specific needs and application scenarios.

[0084] The backend data model service and management center has interface call and service monitoring functions. It can monitor the usage of system data interface calls and service registration calls in real time. The backend management center can also monitor the data of the monitoring sites in real time.

[0085] like Figure 5As shown, this application embodiment also provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, it implements the steps of any of the above-described GIS-based regional monitoring methods:

[0086] The spatial element data of the monitored objects are entered into the GIS system in a standard GIS data format.

[0087] Based on management needs information, the detection area is divided to obtain management area data, so as to associate the spatial element data of the monitored objects with the management area data;

[0088] The received multi-source monitoring data associated with emergency events are combined with the emergency spatial analysis model to generate spatial situation assessment results.

[0089] Optionally, the step of combining the received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results includes:

[0090] Obtain management area data associated with emergency events to determine the corresponding target emergency space analysis model;

[0091] Based on the target emergency space analysis model, combined with the multi-source monitoring data associated with the emergency event, the management area data associated with the emergency event, and the spatial element data associated with the emergency event, a spatial situation assessment result is generated.

[0092] Optionally, the step of obtaining management area data associated with emergency events to determine the corresponding target emergency spatial analysis model includes:

[0093] Obtain the preset emergency strategy corresponding to the management area associated with the emergency event;

[0094] Based on the preset emergency strategy, a corresponding target emergency space analysis model is constructed.

[0095] Optionally, the step of combining the received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results includes:

[0096] Based on the preset emergency strategy, the input multi-source monitoring data is filtered and combined to form target multi-source monitoring combined data and related analysis algorithms;

[0097] An emergency spatial analysis model is constructed based on the target multi-source monitoring combined data, the analysis algorithm, the management area data associated with the emergency event, and the spatial element data associated with the emergency event, in order to generate spatial situation assessment results.

[0098] Optional, also includes:

[0099] Based on the spatial situation assessment results, a grid-based linkage and reinforcement analysis is conducted using path analysis and resource allocation algorithms within the GIS system.

[0100] Optionally, the multi-source monitoring data includes public opinion data, and the step of combining the received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results includes:

[0101] The social sentiment data associated with the emergency event is spatially correlated with the spatial element data and the management area data to generate multi-source monitoring combined data;

[0102] By combining the correlated multi-source monitoring data with the emergency spatial analysis model, the affected area and the scope of the event's impact can be generated.

[0103] Optional, also includes:

[0104] Based on the spatial situation analysis requirements, key information point acquisition requests are generated for target public opinion publishing users and target public opinion publishing pages. The key information point acquisition requests include: key text information acquisition requests and key image information acquisition requests.

[0105] The feedback data from the requests for obtaining the key information points are analyzed to obtain key data related to the emergency event in order to expand the multi-source monitoring data.

[0106] Since the electronic device described in this embodiment is the device used to implement a GIS-based regional monitoring device in this application embodiment, those skilled in the art can understand the specific implementation method and various variations of the electronic device in this embodiment based on the method described in this application embodiment. Therefore, how the electronic device implements the method in this application embodiment will not be described in detail here. Any device used by those skilled in the art to implement the method in this application embodiment is within the scope of protection of this application.

[0107] In practical implementation, when the computer program 311 is executed by the processor, it can achieve the following: Figure 1 Any of the implementation methods in the corresponding embodiments:

[0108] The spatial element data of the monitored objects are entered into the GIS system in a standard GIS data format.

[0109] Based on management needs information, the detection area is divided to obtain management area data, so as to associate the spatial element data of the monitored objects with the management area data;

[0110] The received multi-source monitoring data associated with emergency events are combined with the emergency spatial analysis model to generate spatial situation assessment results.

[0111] Optionally, the step of combining the received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results includes:

[0112] Obtain management area data associated with emergency events to determine the corresponding target emergency space analysis model;

[0113] Based on the target emergency space analysis model, combined with the multi-source monitoring data associated with the emergency event, the management area data associated with the emergency event, and the spatial element data associated with the emergency event, a spatial situation assessment result is generated.

[0114] Optionally, the step of obtaining management area data associated with emergency events to determine the corresponding target emergency spatial analysis model includes:

[0115] Obtain the preset emergency strategy corresponding to the management area associated with the emergency event;

[0116] Based on the preset emergency strategy, a corresponding target emergency space analysis model is constructed.

[0117] Optionally, the step of combining the received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results includes:

[0118] Based on the preset emergency strategy, the input multi-source monitoring data is filtered and combined to form target multi-source monitoring combined data and related analysis algorithms;

[0119] An emergency spatial analysis model is constructed based on the target multi-source monitoring combined data, the analysis algorithm, the management area data associated with the emergency event, and the spatial element data associated with the emergency event, in order to generate spatial situation assessment results.

[0120] Optional, also includes:

[0121] Based on the spatial situation assessment results, a grid-based linkage and reinforcement analysis is conducted using path analysis and resource allocation algorithms within the GIS system.

[0122] Optionally, the multi-source monitoring data includes public opinion data, and the step of combining the received multi-source monitoring data associated with emergency events with an emergency spatial analysis model to generate spatial situation assessment results includes:

[0123] The social sentiment data associated with the emergency event is spatially correlated with the spatial element data and the management area data to generate multi-source monitoring combined data;

[0124] By combining the correlated multi-source monitoring data with the emergency spatial analysis model, the affected area and the scope of the event's impact can be generated.

[0125] Optional, also includes:

[0126] Based on the spatial situation analysis requirements, key information point acquisition requests are generated for target public opinion publishing users and target public opinion publishing pages. The key information point acquisition requests include: key text information acquisition requests and key image information acquisition requests.

[0127] The feedback data from the requests for obtaining the key information points are analyzed to obtain key data related to the emergency event in order to expand the multi-source monitoring data.

[0128] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0129] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0130] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0131] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0132] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0133] This application also provides a computer program product, which includes computer software instructions that, when executed on a processing device, cause the processing device to perform actions such as... Figure 1 The corresponding embodiment describes the GIS-based regional monitoring process.

[0134] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0135] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0136] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0137] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0138] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0139] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0140] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A GIS-based regional monitoring method, characterized by, The method comprises the following steps: The spatial element data of the monitoring object is stored in the GIS system in a standard GIS data format; The detection area is divided based on the management requirement information to obtain management block data, so as to associate the spatial element data of the monitoring object with the management block data; The received multi-source monitoring data associated with the emergency event is combined with an emergency spatial analysis model to generate a spatial situation judgment result; The multi-source monitoring data associated with the emergency event comprises social public opinion data, and the received multi-source monitoring data associated with the emergency event is combined with the emergency spatial analysis model to generate the spatial situation judgment result, which comprises: The social public opinion data associated with the emergency event is spatially associated with the spatial element data and the management block data to generate multi-source monitoring combined data; The associated multi-source monitoring combined data is combined with the emergency spatial analysis model to generate an emergency event affected area and an event influence range; Further comprising: Based on the spatial situation judgment analysis requirement, a key information point acquisition request is generated for a target public opinion publishing user and a target public opinion publishing page, the key information point acquisition request comprises a key text information acquisition request and a key image information acquisition request, the target public opinion publishing user and the target public opinion publishing page are determined based on a user device and a location of the user, and the selected user device and location are determined based on the associated multi-source monitoring combined data combined with the emergency spatial analysis model to generate an emergency event affected area; According to the identity, historical record and authentication information of the publisher, consistency is judged according to the time and location of the emergency event, and the information of unknown accounts or accounts without authentication and the information not meeting the spatiotemporal consistency are further verified; The feedback data of the key information point acquisition request is analyzed to obtain key data associated with the emergency event and passing the verification to expand the multi-source monitoring data.

2. The method of claim 1, wherein, The received multi-source monitoring data associated with the emergency event is combined with the emergency spatial analysis model to generate the spatial situation judgment result, which comprises: The management block data associated with the emergency event is acquired to determine a corresponding target emergency spatial analysis model; Based on the target emergency spatial analysis model, the multi-source monitoring data associated with the emergency event, the management block data associated with the emergency event and the spatial element data associated with the emergency event are combined to generate the spatial situation judgment result.

3. The method of claim 2, wherein, The management block data associated with the emergency event is acquired to determine the corresponding target emergency spatial analysis model, which comprises: A preset emergency strategy corresponding to the acquired management block data associated with the emergency event is acquired; Based on the preset emergency strategy, a corresponding target emergency spatial analysis model is constructed.

4. The method of claim 1, wherein, The received multi-source monitoring data associated with the emergency event is combined with the emergency spatial analysis model to generate the spatial situation judgment result, which comprises: Based on a preset emergency strategy, the input multi-source monitoring data is screened and combined to form target multi-source monitoring combined data and related analysis algorithms; Based on the target multi-source monitoring combined data, the analysis algorithms, the management block data associated with the emergency event and the spatial element data associated with the emergency event, an emergency spatial analysis model is constructed to generate a spatial situation judgment result.

5. The method of claim 1, wherein, Further comprising: Based on the space situation judgment result, grid linkage reinforcement analysis is performed through path analysis and resource allocation algorithm in the GIS system.

6. A GIS-based regional monitoring apparatus, characterized by comprising: The method as claimed in any one of claims 1 to 5, the device comprising: A storage unit, in which a user stores spatial feature data of a monitoring object in a standard GIS data format into a GIS system; An association unit configured to divide a detection area based on management requirement information to obtain management section data, and associate the spatial feature data of the monitoring object with the management section data; An analysis unit configured to generate a space situation judgment result by combining received multi-source monitoring data associated with an emergency event with an emergency space analysis model.

7. An electronic device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to implement the steps of the GIS-based regional monitoring method according to any one of claims 1-5 when executing the computer program stored in the memory.

8. A computer readable storage medium having stored thereon a computer program, characterized in that: The computer program is executed by the processor to implement the GIS-based regional monitoring method according to any one of claims 1-5.

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