CN115512518A - Early warning information processing method and device for multiple disasters based on time-space correlation - Google Patents
Early warning information processing method and device for multiple disasters based on time-space correlation Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for processing early warning information of multiple disasters based on space-time correlation, and belongs to the technical field of disaster early warning. The method comprises the following steps: responding to the received disaster early warning information report, and acquiring early warning stage types of a first historical disaster early warning information report and at least one second historical disaster early warning information report; under the condition that the obtained early warning stage types are all judged to be finished reporting, when the current disaster early warning risk level is higher than a threshold value, determining that the current disaster early warning information is reported as the first report of a new disaster early warning event; and under the condition that the acquired early warning stage type is determined to be non-end report, determining that the current disaster early warning information report is an updated report or an end report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the information generation category and the early warning end condition of the current disaster early warning information report. The disaster early warning system can realize the time-space correlation of disaster early warning information reports of different monitoring areas and perform the fusion of disaster early warning events.
Description
Technical Field
The invention belongs to the technical field of disaster early warning, and particularly relates to a method for processing early warning information of multiple disasters based on space-time association, a device for processing early warning information of multiple disasters based on space-time association, a terminal device and a computer-readable storage medium.
Background
At present, monitoring and early warning systems for various natural disasters are usually independent, namely, independent monitoring and early warning systems are provided for each subdivided disaster, but various natural disasters can affect production and life of people, even life safety, multiple natural disasters can occur in parallel, or secondary disasters caused by one disaster, such as rolling stones and landslide caused by earthquake, but the existing independent monitoring and early warning systems for various disasters usually cause the problems of monitoring equipment disuse, data unshared, incomplete early warning and the like, and are difficult to meet actual requirements.
In addition, various monitoring and early warning methods are often used for each natural disaster, for example, weather early warning of mountain torrents or geological disasters can be performed through weather forecast, and disasters such as landslides and debris flows can be early warned through analysis of monitoring data of monitoring equipment such as crack meters, GNSS and mud-water level meters. The problems that coverage areas are different, data sources are different during monitoring and early warning, and time urgency, space accuracy and reliability of early warning information are different when different monitoring and early warning methods are adopted are solved.
In the multi-disaster early warning process, the occurrence, the progress and the termination of a disaster are a dynamic evolution process and a process which can possibly spread (for example, natural disasters such as mountain fire, mountain flood and the like), most of the existing single disaster early warning information reports are independent, the correlation among the information is insufficient, the current evolution state of the disaster or the current risk state of the disaster can only be independently displayed, and the whole evolution process of the disaster or the risk change process of the disaster cannot be effectively reflected.
Disclosure of Invention
The embodiment of the invention aims to provide a method and a device for processing early warning information of multiple disasters based on space-time association, so as to solve the problems that the prior art cannot perform space-time association on numerous disaster early warning information, cannot accurately associate disaster early warning information to report corresponding disaster early warning events, and cannot effectively reflect the overall evolution process of disasters or the risk change process of disasters.
In order to achieve the above object, in a first aspect of the present invention, there is provided a method for processing multiple disaster warning information based on spatiotemporal correlation, including:
responding to a received disaster early warning information report, acquiring a first historical disaster early warning information report and at least one second historical disaster early warning information report, and acquiring early warning stage types of the first historical disaster early warning information report and the second historical disaster early warning information report, wherein the first historical disaster early warning information report is a previous disaster early warning information report of the same disaster type of a current disaster early warning information report corresponding to a monitoring area, and the second historical disaster early warning information report is a previous disaster early warning information report of the same disaster type of an adjacent monitoring area corresponding to the current disaster early warning information report;
under the condition that the early warning stage types of the first historical disaster early warning information report and all the second historical disaster early warning information reports are determined to be end reports, when the disaster early warning risk level corresponding to the current disaster early warning information report is higher than a risk level threshold value, determining that the current disaster early warning information report is the first report of a new disaster early warning event; and
and under the condition that the early warning stage type of the first historical disaster early warning information report and/or at least one second historical disaster early warning information report is determined to be non-end report, acquiring the information generation category of the current disaster early warning information report, and determining that the current disaster early warning information report is an updated report or an end report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the information generation category of the current disaster early warning information report and the early warning end condition.
Preferably, the information generation category of the current disaster warning information report includes: automatic reporting and studying and judging reporting; the method further comprises the following steps:
if the current disaster early warning information report is automatically generated by a preset disaster early warning model, determining that the current disaster early warning information report is an automatic report;
and if the current disaster early warning information report is generated after manual inspection and/or manual research and judgment, determining the current disaster early warning information report as a research and judgment report.
Preferably, the early warning end condition comprises a first early warning end condition and a second early warning end condition; determining that the current disaster early warning information report is an updated report or an end report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the information generation category and the early warning end condition of the current disaster early warning information report, including:
if the current disaster early warning information report does not meet the first early warning end condition, determining that the current disaster early warning information report is an updated report of a disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report;
if the current disaster early warning information report meets the first early warning end condition and the current disaster early warning information report is a study report, determining that the current disaster early warning information report is an end report of a disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report;
and if the current disaster early warning information report meets the first early warning ending condition and the current disaster early warning information report is an automatic report, determining that the current disaster early warning information report is an updated report or an ending report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the second early warning ending condition.
Preferably, the study and judgment report is a comprehensive study and judgment carried out by combining the latest information of the current monitoring area and at least one adjacent monitoring area; or
The studying and judging report is a comprehensive studying and judging report which is carried out by combining the latest information of the current monitoring area, the latest information of at least one adjacent monitoring area, the first historical disaster early warning information report and all the second historical disaster early warning information reports. Preferably, determining that the current disaster early warning information report is an updated report or an end report of a disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the current disaster early warning information report and the second early warning end condition includes:
determining that the current disaster early warning information report is the end report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report under the condition that the current disaster early warning information report meets the second early warning end condition; or alternatively
And under the condition that the current disaster early warning information report does not meet the second early warning ending condition, determining that the current disaster early warning information report is an updated report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report.
Preferably, the first warning end condition includes:
and determining that the disaster early warning risk level corresponding to the current disaster early warning information report is not higher than the preset risk level.
Preferably, the second warning end condition includes:
and the disaster early warning risk grade corresponding to the current disaster early warning information report is not higher than the preset risk grade, and no new disaster early warning information report is received within the preset time period after the current disaster early warning information report is received, wherein the new disaster early warning information report and the current disaster early warning information report correspond to the same disaster category and are in the same monitoring area or adjacent monitoring areas.
Preferably, the second warning end condition includes:
and the disaster early warning risk grade corresponding to the current disaster early warning information report is not higher than the preset risk grade, and a new disaster early warning information report of which the corresponding disaster early warning risk grade is not lower than the preset risk grade is not received in the preset time period, wherein the new disaster early warning information report and the current disaster early warning information report correspond to the same disaster category and are in the same monitoring area or adjacent monitoring areas.
Preferably, the method further comprises:
and determining that the monitoring area with the distance between the monitoring areas corresponding to the current disaster early warning information report being lower than the distance threshold value is an adjacent monitoring area of the monitoring area corresponding to the current disaster early warning information report.
Preferably, the method further comprises:
and determining that the distance between the monitoring areas corresponding to the current disaster early warning information report is lower than a distance threshold, and the monitoring area with the height difference between the monitoring areas corresponding to the current disaster early warning information report being lower than a height difference threshold is an adjacent monitoring area of the monitoring area corresponding to the current disaster early warning information report.
Preferably, the method further comprises:
and determining that the monitoring area with the preset incidence relation between the monitoring areas corresponding to the current disaster early warning information report is an adjacent monitoring area of the monitoring area corresponding to the current disaster early warning information report.
In a second aspect of the present invention, there is provided a multiple disaster warning information processing apparatus based on spatiotemporal correlation, including:
the early warning information receiving module is configured to receive a disaster early warning information report;
the early warning stage type acquisition module is configured to acquire a first historical disaster early warning information report and at least one second historical disaster early warning information report in response to a received disaster early warning information report, and acquire early warning stage types of the first historical disaster early warning information report and the second historical disaster early warning information report, wherein the first historical disaster early warning information report is a previous disaster early warning information report of the same disaster type of a monitoring area corresponding to a current disaster early warning information report, and the second historical disaster early warning information report is a previous disaster early warning information report of the same disaster type of an adjacent monitoring area corresponding to the current disaster early warning information report;
the disaster early warning information report judging module is configured to determine that the current disaster early warning information report is the first report of a new disaster early warning event when the early warning stage types of the first historical disaster early warning information report and all the second historical disaster early warning information reports are both end reports and when the disaster early warning risk level corresponding to the current disaster early warning information report is higher than a risk level threshold; and
and under the condition that the early warning stage type of the first historical disaster early warning information report and/or at least one second historical disaster early warning information report is determined to be non-end report, acquiring the information generation category of the current disaster early warning information report, and determining that the current disaster early warning information report is an updated report or an end report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the information generation category of the current disaster early warning information report and the early warning end condition.
In a third aspect of the present invention, there is provided a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned multiple disaster warning information processing methods based on spatiotemporal association when executing the computer program.
In a fourth aspect of the present invention, there is provided a computer-readable storage medium having stored therein instructions, which, when run on a computer, cause the computer to execute the above-described disaster warning information processing methods based on spatiotemporal correlation.
The technical scheme of the invention at least has the following beneficial effects:
according to the method, the early warning stage type of the previous disaster early warning information report of the monitoring area corresponding to the current disaster early warning information report and at least one adjacent area of the monitoring area is obtained, and the current disaster early warning information report is determined to be the first report of a new disaster early warning event or to be the updated report or the finished report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the determined early warning stage types of all the previous disaster early warning information reports and the information generation types of the current disaster early warning information reports, so that the time-space association of the disaster early warning information reports of different monitoring areas is realized, the fusion and the updating of the disaster early warning event can be accurately carried out on the received disaster early warning information reports, the early warning stage to which the current disaster early warning information report belongs is accurately determined, the independent disaster early warning information reports are associated, the evolution process of a disaster or the risk change process of the disaster is reflected through the disaster early warning event, and the user can grasp of the related information and update, respond or dispose the early warning information in time.
Additional features and advantages of embodiments of the present invention will be described in detail in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a flowchart of a method for processing multiple disaster warning information based on spatiotemporal correlation according to a preferred embodiment of the present invention;
FIG. 2 is a schematic view of an adjacent monitoring area provided by the preferred embodiment of the present invention;
FIG. 3 is a schematic view of another adjacent monitoring area provided by the preferred embodiment of the present invention;
FIG. 4 is a schematic elevation view of adjacent monitored areas as provided by a preferred embodiment of the present invention;
FIG. 5 is a schematic block diagram of a multi-disaster warning information processing apparatus based on spatiotemporal correlation according to a preferred embodiment of the present invention;
fig. 6 is a schematic diagram of a terminal device according to a preferred embodiment of the present invention.
Description of the reference numerals
10-terminal device, 100-processor, 101-memory, 102-computer program.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are given by way of illustration and explanation only, not limitation.
In this embodiment, the monitoring area may be defined by different range divisions according to different disaster types, for example, in an earthquake early warning scenario, the monitoring area may be a monitoring area in a range of a dozen or even dozens of kilometers, and in other disasters, the monitoring area may be a small range of hundreds of meters or kilometers, or a large range of dozens of kilometers.
In this embodiment, the previous disaster early warning event refers to a disaster early warning event corresponding to the first historical disaster early warning information report and all second historical disaster early warning information reports in which the early warning stage types are the first report or the updated report.
As shown in fig. 1, the present embodiment provides a method for processing multiple disaster warning information based on spatiotemporal correlation, including:
responding to the received disaster early warning information report, acquiring a first historical disaster early warning information report and at least one second historical disaster early warning information report, and acquiring early warning stage types of the first historical disaster early warning information report and the second historical disaster early warning information report, wherein the first historical disaster early warning information report is a previous disaster early warning information report of the same disaster type of a current disaster early warning information report corresponding to a monitoring area, and the second historical disaster early warning information report is a previous disaster early warning information report of the same disaster type of an adjacent monitoring area corresponding to the current disaster early warning information report;
under the condition that the early warning stage types of the first historical disaster early warning information report and all the second historical disaster early warning information reports are determined to be finished reports, when the disaster early warning risk level corresponding to the current disaster early warning information report is higher than a risk level threshold value, determining that the current disaster early warning information report is the first report of a new disaster early warning event; and
and under the condition that the early warning stage type of the first historical disaster early warning information report and/or at least one second historical disaster early warning information report is determined to be non-end report, the information generation category of the current disaster early warning information report is obtained, and the current disaster early warning information report is determined to be the updated report or the end report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the information generation category of the current disaster early warning information report and the early warning end condition.
In this way, in the embodiment, the early warning stage type of the previous disaster early warning information report of the monitoring area corresponding to the current disaster early warning information report and at least one adjacent monitoring area thereof is obtained, and the current disaster early warning information report is determined to be the first report of a new disaster early warning event, or the updated report or the finished report of the previous disaster early warning event according to the determined early warning stage types of all the previous disaster early warning information reports and the information generation category of the current disaster early warning information report. Therefore, the time-space correlation of the disaster early warning information reports in different monitoring areas is realized, the integration and the updating processing of disaster early warning events can be accurately carried out on the received disaster early warning information reports, the early warning stage to which the current disaster early warning information report belongs is accurately determined, and the user can timely update, respond or dispose the current disaster early warning information report.
Most of monitoring and early warning of natural disasters at present monitor the disaster characteristic data of corresponding natural disasters through setting up corresponding monitoring facilities, and monitoring facilities gathers the monitoring data that contains disaster characteristic data and sends monitoring data to the server and carries out analysis processes, and the server confirms whether to produce corresponding disaster early warning information according to the rule of predetermineeing and reports. For example, in the process of monitoring the waterlogging, the disaster characteristic data is the depth of the waterlogging, the monitoring equipment monitors the depth of the waterlogging, the server receives monitoring data of the depth of the waterlogging in real time, when the depth of the waterlogging exceeds a preset threshold value of the depth of the waterlogging, the server considers that the waterlogging is in risk or has occurred, and the server generates corresponding disaster early warning information. In this embodiment, the information included in the disaster warning information report includes, but is not limited to, information such as a disaster category, a warning event ID, disaster point position information, warning presentation time, an information generation category, and disaster characteristic data.
In the disaster early warning field, the occurrence, the progress and the termination of a disaster are a dynamic evolution process, which is called a disaster event, and correspondingly, the generation, the updating and the release of a disaster early warning information report are also a dynamic evolution process, which is called a disaster early warning event. The disaster early-warning event may be accompanied by the whole process of a disaster event, may also be a risk prompt before the disaster event occurs, or may be the whole process from the risk prompt before the disaster event occurs to the disaster event, for example, the disaster early-warning event may be only a process of risk prompt for a possibly occurring disaster, that is, a change of risk occurring in different stages; alternatively, the disaster warning event may be a dynamic evolution process generated after the disaster occurs and accompanied by the occurrence, change and termination of the disaster. One disaster early warning event comprises a plurality of disaster early warning information reports, and the disaster early warning information reports can reflect the change process of the disaster early warning event. The disaster early warning information event is generated and transmitted in the form of an information report.
The early warning center server processes a plurality of disaster early warning information reports every day, the disaster early warning information reports come from different monitoring areas and correspond to different disaster types, and the disaster early warning information reports are automatically generated according to a preset model and also manually reported. Of course, in the actual monitoring process, a plurality of disaster early warning information reports may be generated in the same monitoring area, and the generated plurality of disaster early warning information reports may correspond to the same disaster early warning event or different disaster early warning events. In order to facilitate a user to quickly and accurately determine a plurality of disaster early warning information reports and timely update, respond or dispose the disaster early warning information, the disaster early warning information reports are classified and screened, and the disaster early warning information reports correspond to a disaster early warning event and a disaster early warning stage of the disaster early warning event, so that the current disaster early warning information reports can be updated, responded or disposed in time, in the embodiment, a first disaster early warning information report in one disaster early warning event is defined as a first report; aiming at the disaster early warning event, after the disaster early warning event is reported for the first time, the disaster early warning information which updates the content of the disaster early warning event is reported as an updated report; and aiming at the disaster early warning event, after the first report, judging that the disaster early warning information report generated when the disaster early warning event is ended or the risk of the disaster is relieved is an end report, indicating that the early warning is relieved by the end report, and ending the current disaster early warning event. It can be understood that after the early warning stage type of the disaster early warning information report is determined, the corresponding early warning stage type can be written into the corresponding disaster early warning information report so as to mark the disaster early warning information report.
Specifically, after receiving a new disaster early warning information report, the embodiment first acquires disaster point position information and disaster category information in a current disaster early warning information report, and screens out a first historical disaster early warning information report and/or a second historical disaster early warning information report, in which the disaster point position information and the disaster category are matched with the current disaster early warning information report, that is, a previous disaster early warning information report matching the same disaster category as the current disaster early warning information report in the same monitoring area and a previous disaster early warning information report matching the same disaster category in at least one adjacent monitoring area. For example, the disaster point position information in the current disaster early warning information report is A1, and the disaster category is a fire, as shown in fig. 2, where A1 indicates that the early warning position corresponding to the disaster early warning information report is a monitoring area A1. After disaster point position information and a disaster type of the current disaster early warning information report are determined, a previous disaster early warning information report of which the disaster type is a fire disaster and the disaster point position information is A1 and a previous disaster early warning information report of at least one adjacent monitoring area of adjacent monitoring areas, such as A2, A4 and A5, of which the disaster point position information is A1 are screened out. It can be understood that, as shown in fig. 3, if the adjacent monitoring area of the current disaster early warning information report includes monitoring areas belonging to other monitoring area ranges, for example, in fig. 3, the adjacent monitoring area of A1 includes A2, A3, A4, B1, and B2, where A1 to A4 belong to the same monitoring area range a, and B1 to B2 belong to a monitoring area range B, when obtaining the previous disaster early warning information report of the adjacent monitoring area of A1, the target adjacent monitoring area of A1 may be determined as A2, A3, and A4, or as A2, A3, A4, B1, and B2 according to the actual situation, and when screening the second historical disaster early warning information report, it may be determined whether the disaster type matches the current disaster early warning information report, and then it may be determined whether the disaster point position matches, and then it is determined whether the disaster type matches, where this is not limited.
Certainly, the method for obtaining the first historical disaster early warning information report can also be optimized on the above method, a unique identifier is carried out on each disaster point position, the unique identifier comprises a disaster category, when the current disaster early warning information report is received, the disaster early warning information report under the unique identifier of the disaster point position is obtained, and then the first historical disaster early warning information report is screened out according to the early warning prompt time; or, unique identification is carried out on each disaster point position, the unique identification comprises disaster categories, all disaster early warning information reports are arranged by a time axis, and when the current disaster early warning information report is received, the latest disaster early warning information report on the time axis is acquired as a first historical disaster early warning information report according to the unique identification of the disaster point position and the time axis. In this embodiment, the method for determining the adjacent monitoring area includes: and determining that the monitoring area with the distance between the monitoring areas corresponding to the current disaster early warning information report being lower than the distance threshold value is an adjacent monitoring area of the monitoring area corresponding to the current disaster early warning information report. For example, the distance between the central points of the monitoring areas is used as the distance between the monitoring areas, and if the distance between the monitoring area corresponding to the current disaster early warning information report and the central points of the other monitoring areas is lower than a distance threshold, the corresponding monitoring area is determined to be an adjacent monitoring area of the current monitoring area.
In order to determine the adjacent monitoring area more accurately, the method of the present embodiment further includes: and determining that the distance between the monitoring areas corresponding to the current disaster early warning information report is lower than a distance threshold, and the monitoring area with the height difference between the monitoring areas corresponding to the current disaster early warning information report being lower than a height difference threshold is an adjacent monitoring area of the monitoring area corresponding to the current disaster early warning information report. In the actual monitoring process, the terrain of each monitoring area is often uneven, for example, when the mountain torrents are pre-warned, the terrain among the monitoring areas fluctuates, the mountain torrents can be discharged from a high place to a low place, namely, from an upstream to a downstream, so that in order to more accurately correlate disaster pre-warning information with a disaster pre-warning event and accurately reflect the evolution process of disaster/disaster pre-warning, the embodiment further determines the adjacent monitoring areas of the current monitoring area based on the horizontal distance and the elevation difference between the current monitoring area and each monitoring area. If the monitoring area corresponding to the current disaster early warning information report is A1, firstly, calculating the horizontal distance between the monitoring area A1 and each monitoring area, referring to fig. 3, if the monitoring areas with the horizontal distances lower than the distance threshold are determined to be B1, B2, A3 and A4, respectively calculating the elevation differences Δ h1, Δ h2, Δ h3, Δ h4 and Δ h5 of the monitoring areas A1 and B1, B2, A3 and A4, and if the elevation differences Δ h1, Δ h2 and Δ h3 are lower than the elevation difference threshold, determining the adjacent monitoring areas of the monitoring area A1 to be B1, B2 and A2. It should be noted that, the above division of the adjacent monitoring areas may be determined in different manners according to different disaster types.
Fig. 4 is a schematic cross-sectional view of the monitoring areas A1, A2, C1, C2, and C3, wherein the distance between the ground and the ground level of the monitoring areas A1, A2, C1, C2, and C3 is taken as the elevation of the monitoring areas A1, A2, C1, C2, and C3.
In addition, in the present embodiment, the adjacent monitoring areas may be determined by setting an association relationship in advance, for example, by associating the downstream monitoring areas in the same flow domain as the adjacent monitoring areas of the upstream monitoring area in advance, it is needless to say that an association library table may be established in advance, and the monitoring areas may be associated with each other in a mapping or other corresponding manner in the association library table.
After the second historical disaster early warning information report of at least one adjacent monitoring area is determined, early warning stage types in all previous disaster early warning information reports, namely the first historical disaster early warning information report and the second historical disaster early warning information report, are further obtained, whether the early warning stage types in all the previous disaster early warning information reports are end reports is judged, if the early warning stage types in all the previous disaster early warning information reports are end reports, the fact that the previous disaster early warning event is ended is indicated, if the disaster early warning risk level corresponding to the current disaster early warning information report is higher than a risk level threshold value, the fact that the current early warning information report corresponds to a new disaster early warning event is determined, the early warning event ID of the new disaster early warning event is generated, the new disaster early warning event ID is added in the current disaster early warning information report, and meanwhile, the early warning stage type of the current disaster early warning information report is marked as the first report. For example, all previous disaster early warning information reports include (fire, W1, A1, T1, C1, self-report, end-report) and (fire, W2, A2, T2, C2, self-report, end-report), the current disaster early warning information report is (fire, A3, T3, C3, self-report), since all previous disaster early warning information report early warning stage types are end-reports, it indicates that the current disaster early warning information report is the first report of a new disaster early warning event, and the current disaster early warning information report is updated to (fire, W3, A3, T3, C3, self-report, first report). Wherein, W represents the early warning event ID, A represents the disaster point position information, T represents the early warning prompt time, and C represents the disaster characteristic data, such as smoke concentration or hot spot information.
If the early warning stage type of any disaster early warning information report in all the previous disaster early warning information reports is non-end report, namely first report or updated report, indicating that the evolution process of the previous disaster early warning event is not finished or the risk of disaster occurrence is not relieved, further judging whether the current disaster early warning information report meets the early warning end condition of the disaster early warning event, if the current disaster early warning information report meets the early warning end condition, further acquiring the information generation category of the current disaster early warning information report, and further determining the current disaster early warning information report to be updated report or ended report of the previous disaster early warning event according to the information generation category of the current disaster early warning information report.
In this embodiment, the information generation categories of the disaster warning information report include: the method comprises the following steps of automatically reporting and studying and judging, wherein the information generation category of the disaster early warning information report is identified by the following method: if the current disaster early warning information report is automatically generated by a preset disaster early warning model, determining the information generation category of the current disaster early warning information report as an automatic report; and if the current disaster early warning information report is generated after manual inspection and/or manual research and judgment, determining the information generation category of the current disaster early warning information report as a research and judgment report.
The automatic alarm is an information alarm automatically generated according to monitoring data acquired by monitoring equipment, for example, current water level data of a monitoring area is acquired through a water level meter which is deployed in the monitoring area in advance, the acquired current water level data is transmitted to a server through a communication module, the server calls a preset disaster early warning model to process the acquired current water level data, and a corresponding disaster early warning information alarm is generated and marked as the automatic alarm. It can be understood that the disaster early warning model is different according to different disaster categories, and the disaster early warning model may be a set of generation rules of a disaster early warning information report for a certain disaster category, or may be obtained after training a deep learning algorithm, which is not limited herein.
Meanwhile, in some disaster early warning and monitoring scenes, such as landslide early warning based on instrument monitoring, since monitoring data acquired by an instrument often has more jumps and anomalies due to an external severe environment or problems of the instrument itself, and automatic reporting generated based on the monitoring data acquired by the instrument has a certain anomaly probability, in order to ensure reliability of disaster early warning information reporting, the monitoring data is generally required to be manually researched and judged, and a research and judgment report is generated to be used as supplement and correction of the automatic reporting; in addition, the automatic report is automatically generated based on the instrument monitoring data, and the research and judgment report can be combined with other multi-source data on the basis of the automatic report, for example, the research and judgment report is assisted by combining a satellite map, forecast rainfall information, camera information and the like, so that the disaster risk and change can be judged more accurately by manpower. In this embodiment, the study and judgment report may be a supplement to a monitoring area not covered by the monitoring instrument or an abnormal situation not monitored by the monitoring instrument, for example, after the inspection staff manually surveys a relevant situation of the disaster early warning, the staff automatically uploads the study and judgment report including relevant data and/or a disaster situation, and the study and judgment report is not a supplement and a correction to the automatic report. It can be understood that, in order to distinguish whether the judged newspaper is a correction of the automatic newspaper or a new judged newspaper generated by the inspection, when the judged newspaper is generated, the judged newspaper can be marked by different marks.
In this embodiment, the early warning end condition includes a first early warning end condition and a second early warning end condition; determining that the current disaster early warning information report is an updated report or an end report of a previous disaster early warning event according to the information generation category and the early warning end condition of the current disaster early warning information report, wherein the method comprises the following steps: if the current disaster early warning information report does not meet the first early warning end condition, determining that the current disaster early warning information report is an updated report of the previous disaster early warning event; if the current disaster early warning information report meets a first early warning ending condition and the current disaster early warning information report is a study and judgment report, determining that the current disaster early warning information report is an ending report of a previous disaster early warning event, wherein the study and judgment report is a comprehensive study and judgment carried out by combining the latest information of the current monitoring area and at least one adjacent monitoring area; or, the studying and judging report is a comprehensive studying and judging report which is carried out by combining the latest information of the current monitoring area, the latest information of at least one adjacent monitoring area, the first historical disaster early warning information report and all the second historical disaster early warning information reports, wherein the latest information of the current monitoring area and the adjacent monitoring area can be manually acquired or calibrated disaster characteristic data and/or satellite pictures, forecast rainfall information, camera information and other related information. And if the current disaster early warning information report meets the first early warning ending condition and the current disaster early warning information report is an automatic report, determining that the current disaster early warning information report is an updated report or an ending report of the previous disaster early warning event according to the second early warning ending condition. And the previous disaster early warning event refers to a disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report.
The first early warning ending condition may be different according to different disaster categories, and for example, the disaster characteristic data may not exceed the corresponding index threshold as the first early warning ending condition. Taking the disaster category as a fire disaster as an example, if the early warning prompting time is T0 time, the smoke concentration is 5ppm, the early warning event of the obtained current monitoring area is W1 in the previous disaster early warning information report, the early warning time is T0-1 hour time, the smoke concentration is 100ppm, the time interval between the smoke concentration and the current disaster early warning information report reaches a preset time threshold value, such as n minutes, and the smoke concentration in the current disaster early warning information report is less than the preset concentration threshold value, such as 10ppm, the current disaster early warning information report is considered to meet a first early warning ending condition. In this embodiment, the current disaster warning information report may be a warning information report that reflects the disaster risk of a certain disaster category, or a warning information report that reflects the occurrence process of a certain disaster category when the disaster has occurred. For example, for a forest fire, if the current disaster early warning information report is an early warning information report reflecting a disaster occurrence process, the main characteristic index of the disaster early warning information report may be whether a hot spot exists in a monitored area, for example, if there is no hot spot in the current disaster early warning information report compared with all previous disaster early warning information reports reaching a preset time threshold, the current disaster early warning information report is considered to meet a first early warning end condition. It can be understood that whether each monitoring area has a hot spot may be obtained through an image acquisition device disposed in each monitoring area or through satellite image identification, the identification of the hot spot is prior art, and is not limited herein, and it should be understood that the specific values of the parameters are only used for illustrating the method of the present application, and are not specific limitations on the parameters, and the specific values of the relevant parameters may be adjusted according to actual situations.
And if the current disaster early warning information report does not meet the first early warning ending condition, indicating that the evolution process of the current disaster early warning event is not ended, and determining that the current disaster early warning information report is the updated report of the previous disaster early warning event. For example, taking the disaster category as a fire disaster as an example, if the current disaster warning information report includes a warning presentation time at time T0 and a smoke concentration of 20000ppm, the obtained previous disaster warning information report including a warning event ID W1 in the current monitored area includes a warning presentation time at time T0-15 minutes and a smoke concentration of 18000ppm, and a time interval between the smoke concentration and the current disaster warning information report does not reach a preset time threshold, and the smoke concentration of the current disaster warning information report is greater than a preset smoke concentration threshold, for example, 10ppm, it is determined that the current disaster warning information report does not satisfy the first warning end condition, and the warning stage type of the current disaster warning information report is an updated report of the previous disaster warning event.
In this embodiment, the first warning ending condition may further include: and determining that the disaster early warning risk level corresponding to the current disaster early warning information report is not higher than a preset risk level. The method for determining the disaster early warning risk level is different according to different specific disaster categories, taking a fire as an example, for the same disaster early warning event, within a preset time threshold of 20 minutes, if the smoke concentration reported by the current disaster early warning information is higher than a first smoke concentration threshold of 20000ppm, determining that the current disaster early warning risk level is level L1, if the smoke concentration is lower than the first smoke concentration threshold and higher than a second smoke concentration threshold, wherein the second smoke concentration threshold is smaller than the first smoke concentration threshold, and if the second smoke concentration threshold is 10000ppm, determining that the current disaster early warning risk level is level L2, indicating that the current risk level is lower than level L1, and if the smoke concentration is lower than the second smoke concentration threshold of 10000ppm, determining that the current risk level is level L3, and so on. In a specific example of this embodiment, disaster early warning risk levels are classified into levels L1 to L4 according to different variation amounts within a preset time threshold, and the risk levels represented by the disaster early warning risk levels are sequentially reduced, where the level L1 is represented by red, the level L2 is represented by orange, the level L3 is represented by yellow, and the level L4 is represented by blue, for example, when it is determined that the disaster early warning risk level corresponding to the current disaster early warning information report is the level L4, the current disaster early warning information report is labeled as blue, and when it is determined that the disaster early warning risk level corresponding to the current disaster early warning information report is lower than the level L4, an early warning end condition is satisfied. It should be noted that, for different disasters, the preset risk level may be one of L4, L3 or low risk. It is understood that, in the present embodiment, the method for determining the disaster early warning risk level includes, but is not limited to, the above steps, which are merely exemplary illustrations of the disaster level determination. In this embodiment, on the basis of the disaster early warning risk level L1-L4, a low risk level may be further added, where the low risk level indicates that the current disaster risk level is lower than the L4 level, and when it is determined that the disaster early warning risk level corresponding to the current disaster early warning information report is not higher than the low risk level, the early warning end condition is satisfied.
If the current disaster early warning information report meets the first early warning ending condition, whether the current disaster early warning information report is an automatic report or a study report is further judged, for example, whether the current disaster early warning information report is an automatic report or a study report can be determined by acquiring the information generation category of the current disaster early warning information report. If the current disaster early warning information report is determined to be a study report, marking the current disaster early warning information report as an end report of a previous disaster early warning event, and generating no new disaster early warning event at the moment; if the current disaster early warning information report is determined to be an automatic report, further judging whether the current disaster early warning information report meets a second early warning ending condition, and determining that the current disaster early warning information report is an ending report of a previous disaster early warning event under the condition that the current disaster early warning information report meets the second early warning ending condition; or determining that the current disaster early warning information report is an updated report of the previous disaster early warning event under the condition that the current disaster early warning information report does not meet the second early warning ending condition.
In a specific example of this embodiment, the second warning end condition includes: the disaster early warning risk grade corresponding to the current disaster early warning information report is not higher than the preset risk grade, and a new disaster early warning information report is not received within the preset time period after the current disaster early warning information report is received, wherein the new disaster early warning information report and the current disaster early warning information report correspond to the same disaster category and are in the same monitoring area or adjacent monitoring areas.
For example, when it is determined that the disaster early warning risk level of the current disaster early warning information report is a low risk level, whether a disaster early warning information report of the same disaster category as that of the current disaster early warning information report in the same monitoring area or an adjacent monitoring area is received or not is continuously monitored within n hours of a preset time period, if a new disaster early warning information report of the same disaster category of the same monitoring area or the adjacent monitoring area is not received, it is determined that a second early warning end condition is met, and the current disaster early warning information report is marked as an end report; otherwise, marking the current disaster early warning information report as an updated report. Therefore, by continuously monitoring the disaster early warning information report within the preset time period of n hours, the situation that the continuation process of the current disaster early warning event is not updated in time can be effectively avoided. For example, when the disaster type is a mountain fire disaster, when it is determined that the fire is extinguished according to the identification of the hot spot in the monitored area, at this time, there is still a possibility of reignition of the mountain fire, if it is determined that the current disaster early warning information report satisfies the second early warning end condition, the current disaster early warning information report is marked as the end report of the current disaster early warning event, and the current disaster early warning event is ended, the reignition of the mountain fire in the monitored area or in an adjacent monitored area may be erroneously determined as a new disaster event, and actually, the reignition of the mountain fire is a continuation of the previous disaster event, thereby causing untimely update of the disaster event.
In another specific example of this embodiment, the second warning end condition includes: the disaster early warning risk grade corresponding to the current disaster early warning information report is not higher than the preset risk grade, and a new disaster early warning information report of which the corresponding disaster early warning risk grade is not lower than the preset risk grade is not received in the preset time period, wherein the new disaster early warning information report and the current disaster early warning information report correspond to the same disaster category and are in the same monitoring area or adjacent monitoring areas. For example, when the disaster early warning risk level of the current disaster early warning information report is determined to be a low risk level, if a new disaster early warning information report of the same disaster category as that of the current disaster early warning information report in the same monitoring area or an adjacent monitoring area is received within n hours of a preset time period, further judging whether the disaster early warning risk level of the received new disaster early warning information report is higher than the low risk level, if the disaster early warning risk levels of all the disaster early warning information reports received within n hours are not higher than the low risk level, determining that an early warning end condition is met, and marking the current disaster early warning information report as an end report; otherwise, marking the current disaster early warning information report as an updated report.
As shown in fig. 5, in a second aspect of the present invention, there is provided a multiple disaster warning information processing apparatus based on spatiotemporal correlation, including:
the early warning information receiving module is configured to receive a disaster early warning information report;
the early warning stage type acquisition module is configured to respond to a received disaster early warning information report, acquire a first historical disaster early warning information report and at least one second historical disaster early warning information report, and acquire early warning stage types of the first historical disaster early warning information report and the second historical disaster early warning information report, wherein the first historical disaster early warning information report is a previous disaster early warning information report of the same disaster type of a monitoring area corresponding to a current disaster early warning information report, and the second historical disaster early warning information report is a previous disaster early warning information report of the same disaster type of an adjacent monitoring area corresponding to the current disaster early warning information report;
the disaster early warning information report judging module is configured to determine that the current disaster early warning information report is the first report of a new disaster early warning event when the disaster early warning risk level corresponding to the current disaster early warning information report is higher than the risk level threshold value under the condition that the early warning stage types of the first historical disaster early warning information report and all the second historical disaster early warning information reports are determined to be finished reports; and
and under the condition that the early warning stage type of the first historical disaster early warning information report and/or at least one second historical disaster early warning information report is determined to be non-end report, the information generation category of the current disaster early warning information report is obtained, and the current disaster early warning information report is determined to be the updated report or the end report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the information generation category of the current disaster early warning information report and the early warning end condition.
In a third aspect of the present invention, there is provided a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned multiple disaster warning information processing methods based on spatiotemporal association.
Fig. 6 is a schematic diagram of a terminal device provided in this embodiment. As shown in fig. 6, the terminal device 10 includes: a processor 100, a memory 101, and a computer program 102 stored in the memory 101 and operable on the processor 100. The steps in the above-described method embodiments are implemented when the processor 100 executes the computer program 102. Alternatively, the processor 100, when executing the computer program 102, implements the functions of the modules/units in the above-described device embodiments.
Illustratively, the computer program 102 may be partitioned into one or more modules/units, which are stored in the memory 101 and executed by the processor 100 to implement the present invention. One or more of the modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 102 in the terminal device 10. For example, the computer program 102 may be divided into an early warning information receiving module, an early warning stage type acquiring module, and a disaster early warning information reporting and judging module.
The terminal device 10 may be a desktop computer, a notebook, a palm computer, an intelligent terminal, a cloud server, a special early warning terminal for disaster early warning, or other computing devices. Terminal device 10 may include, but is not limited to, a processor 100, a memory 101. Those skilled in the art will appreciate that fig. 6 is merely an example of the terminal device 10 and does not constitute a limitation of the terminal device 10 and may include more or fewer components than shown, or some of the components may be combined, or different components, e.g., the terminal device may also include input-output devices, network access devices, buses, etc.
The Processor 100 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 101 may be an internal storage unit of the terminal device 10, such as a hard disk or a memory of the terminal device 10. The memory 101 may also be an external storage device of the terminal device 10, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like provided on the terminal device 10. Further, the memory 101 may also include both an internal storage unit of the terminal device 10 and an external storage device. The memory 101 is used to store computer programs and other programs and data required by the terminal device 10. The memory 101 may also be used to temporarily store data that has been output or is to be output.
In a fourth aspect of the present invention, there is provided a computer-readable storage medium having stored therein instructions, which, when run on a computer, cause the computer to execute the above-mentioned disaster warning information processing methods based on spatiotemporal correlation.
While the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solution of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications are within the scope of the embodiments of the present invention.
It should be noted that the various features described in the foregoing embodiments may be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present invention will not be described separately for the various possible combinations.
Those skilled in the art will appreciate that all or part of the steps in the method for implementing the above embodiments may be implemented by a program, which is stored in a storage medium and includes several instructions to make a single chip, a chip, or a processor (processor) execute all or part of the steps in the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In addition, any combination of the various embodiments of the present invention may be made, and the same should be considered as what is disclosed in the embodiments of the present invention as long as it does not depart from the spirit of the embodiments of the present invention.
Claims (14)
1. A method for processing various disaster early warning information based on space-time association is characterized by comprising the following steps:
responding to a received disaster early warning information report, acquiring a first historical disaster early warning information report and at least one second historical disaster early warning information report, and acquiring early warning stage types of the first historical disaster early warning information report and the second historical disaster early warning information report, wherein the first historical disaster early warning information report is a previous disaster early warning information report of the same disaster category of a monitoring area corresponding to a current disaster early warning information report, and the second historical disaster early warning information report is a previous disaster early warning information report of the same disaster category of an adjacent monitoring area corresponding to the current disaster early warning information report;
under the condition that the early warning stage types of the first historical disaster early warning information report and all the second historical disaster early warning information reports are determined to be end reports, when the disaster early warning risk level corresponding to the current disaster early warning information report is higher than a risk level threshold, determining that the current disaster early warning information report is the first report of a new disaster early warning event; and
and under the condition that the early warning stage type of the first historical disaster early warning information report and/or at least one second historical disaster early warning information report is determined to be non-end report, acquiring the information generation category of the current disaster early warning information report, and determining that the current disaster early warning information report is an updated report or an end report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the information generation category of the current disaster early warning information report and the early warning end condition.
2. The method for processing multiple disaster early warning information based on spatiotemporal correlation according to claim 1, wherein the information generation category of the current disaster early warning information report comprises: automatic reporting and studying and judging reporting; the method further comprises the following steps:
if the current disaster early warning information report is automatically generated by a preset disaster early warning model, determining that the current disaster early warning information report is an automatic report;
and if the current disaster early warning information report is generated after manual inspection and/or manual research and judgment, determining the current disaster early warning information report as a research and judgment report.
3. The method for processing the early warning information of the plurality of disasters based on the spatiotemporal association according to claim 2, wherein the early warning end condition comprises a first early warning end condition and a second early warning end condition; determining that the current disaster early warning information report is an updated report or an end report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the information generation category and the early warning end condition of the current disaster early warning information report, including:
if the current disaster early warning information report does not meet the first early warning ending condition, determining that the current disaster early warning information report is an updated report of a disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report;
if the current disaster early warning information report meets the first early warning ending condition and the current disaster early warning information report is a study and judgment report, determining that the current disaster early warning information report is an ending report of a disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report;
and if the current disaster early warning information report meets the first early warning ending condition and the current disaster early warning information report is an automatic report, determining that the current disaster early warning information report is an updated report or an ending report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the second early warning ending condition.
4. The method for processing multiple disaster early warning information based on spatiotemporal correlation according to claim 3, wherein the study and judgment is a comprehensive study and judgment combined with the latest information of the current monitoring area and at least one adjacent monitoring area; or
The studying and judging report is a comprehensive studying and judging report which is carried out by combining the latest information of the current monitoring area, the latest information of at least one adjacent monitoring area, the first historical disaster early warning information report and all the second historical disaster early warning information reports.
5. The method for processing multiple disaster early warning information based on spatio-temporal correlation according to claim 3, wherein determining that the current disaster early warning information report is an updated report or an end report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the current disaster early warning information report and the second early warning end condition comprises:
determining that the current disaster early warning information report is an end report of a disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report under the condition that the current disaster early warning information report meets the second early warning end condition; or alternatively
And under the condition that the current disaster early warning information report does not meet the second early warning ending condition, determining that the current disaster early warning information report is an updated report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report.
6. The spatiotemporal correlation-based multi-disaster warning information processing method according to claim 3, wherein the first warning end condition comprises:
and determining that the disaster early warning risk grade corresponding to the current disaster early warning information report is not higher than the preset risk grade.
7. The spatiotemporal correlation-based multi-disaster early warning information processing method according to claim 3, wherein the second early warning ending condition comprises:
and the disaster early warning risk grade corresponding to the current disaster early warning information report is not higher than the preset risk grade, and no new disaster early warning information report is received within the preset time period after the current disaster early warning information report is received, wherein the new disaster early warning information report and the current disaster early warning information report correspond to the same disaster category and are in the same monitoring area or adjacent monitoring areas.
8. The spatiotemporal correlation-based multi-disaster early warning information processing method according to claim 3, wherein the second early warning ending condition comprises:
and the disaster early warning risk grade corresponding to the current disaster early warning information report is not higher than the preset risk grade, and a new disaster early warning information report of which the corresponding disaster early warning risk grade is not lower than the preset risk grade is not received in the preset time period, wherein the new disaster early warning information report and the current disaster early warning information report correspond to the same disaster category and are in the same monitoring area or adjacent monitoring areas.
9. The spatiotemporal correlation-based multi-disaster warning information processing method according to claim 1, further comprising:
and determining that the monitoring area with the distance between the monitoring areas corresponding to the current disaster early warning information report being lower than the distance threshold value is an adjacent monitoring area of the monitoring area corresponding to the current disaster early warning information report.
10. The spatiotemporal association-based multiple disaster warning information processing method according to claim 1, further comprising:
and determining that the distance between the monitoring areas corresponding to the current disaster early warning information report is lower than a distance threshold value, and the monitoring area with the elevation difference between the monitoring areas corresponding to the current disaster early warning information report being lower than an elevation difference threshold value is an adjacent monitoring area of the monitoring area corresponding to the current disaster early warning information report.
11. The spatiotemporal association-based multiple disaster warning information processing method according to claim 1, further comprising:
and determining that the monitoring area with the preset association relation with the monitoring area corresponding to the current disaster early warning information report is an adjacent monitoring area of the monitoring area corresponding to the current disaster early warning information report.
12. A time-space correlation-based multiple disaster early warning information processing device is characterized by comprising:
the early warning information receiving module is configured to receive a disaster early warning information report;
the early warning stage type acquisition module is configured to respond to a received disaster early warning information report, acquire a first historical disaster early warning information report and at least one second historical disaster early warning information report, and acquire early warning stage types of the first historical disaster early warning information report and the second historical disaster early warning information report, wherein the first historical disaster early warning information report is a previous disaster early warning information report of the same disaster type of a monitoring area corresponding to the current disaster early warning information report, and the second historical disaster early warning information report is a previous disaster early warning information report of the same disaster type of an adjacent monitoring area corresponding to the current disaster early warning information report;
the disaster early warning information report judging module is configured to determine that the current disaster early warning information report is a first report of a new disaster early warning event when the disaster early warning risk level corresponding to the current disaster early warning information report is higher than a risk level threshold value under the condition that the early warning stage types of the first historical disaster early warning information report and all the second historical disaster early warning information reports are determined to be end reports; and
and under the condition that the early warning stage type of the first historical disaster early warning information report and/or at least one second historical disaster early warning information report is determined to be non-end report, acquiring the information generation category of the current disaster early warning information report, and determining that the current disaster early warning information report is the updated report or the end report of the disaster early warning event corresponding to the first historical disaster early warning information report or the second historical disaster early warning information report according to the information generation category of the current disaster early warning information report and the early warning end condition.
13. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the multiple disaster warning information processing method based on spatiotemporal association according to any one of claims 1 to 11 when executing the computer program.
14. A computer-readable storage medium having stored therein instructions, which when run on a computer, cause the computer to execute the spatiotemporal association-based disaster warning information processing methods of any one of claims 1 to 11.
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CN117809433A (en) * | 2023-08-31 | 2024-04-02 | 应急管理部大数据中心 | Internet of things equipment-closing processing method and system supporting accurate fusion early warning |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130035859A1 (en) * | 2010-01-19 | 2013-02-07 | Swiss Reinsurance Company Ltd. | Method and system for automated location dependent natural disaster forecast |
JP2016217762A (en) * | 2015-05-15 | 2016-12-22 | 株式会社パスコ | Disaster coping determination support device and disaster coping determination support program |
CN107911432A (en) * | 2017-11-08 | 2018-04-13 | 中电科新型智慧城市研究院有限公司 | City emergency commading platform |
CN113611085A (en) * | 2021-10-11 | 2021-11-05 | 辽博信息科技(山东)有限公司 | Monitoring and early warning method and system for geological disasters in geotechnical engineering |
CN115034600A (en) * | 2022-06-06 | 2022-09-09 | 青岛地质工程勘察院(青岛地质勘查开发局) | Early warning method and system for geological disaster monitoring |
-
2022
- 2022-11-01 CN CN202211359568.3A patent/CN115512518B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130035859A1 (en) * | 2010-01-19 | 2013-02-07 | Swiss Reinsurance Company Ltd. | Method and system for automated location dependent natural disaster forecast |
JP2016217762A (en) * | 2015-05-15 | 2016-12-22 | 株式会社パスコ | Disaster coping determination support device and disaster coping determination support program |
CN107911432A (en) * | 2017-11-08 | 2018-04-13 | 中电科新型智慧城市研究院有限公司 | City emergency commading platform |
CN113611085A (en) * | 2021-10-11 | 2021-11-05 | 辽博信息科技(山东)有限公司 | Monitoring and early warning method and system for geological disasters in geotechnical engineering |
CN115034600A (en) * | 2022-06-06 | 2022-09-09 | 青岛地质工程勘察院(青岛地质勘查开发局) | Early warning method and system for geological disaster monitoring |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116824807A (en) * | 2023-07-05 | 2023-09-29 | 成都高新减灾研究所 | Multi-disaster early warning and alarming method and system |
CN116824807B (en) * | 2023-07-05 | 2024-04-30 | 成都高新减灾研究所 | Multi-disaster early warning and alarming method and system |
CN117809433A (en) * | 2023-08-31 | 2024-04-02 | 应急管理部大数据中心 | Internet of things equipment-closing processing method and system supporting accurate fusion early warning |
CN117809433B (en) * | 2023-08-31 | 2024-05-28 | 应急管理部大数据中心 | Internet of things equipment-closing processing method and system supporting accurate fusion early warning |
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