CN115512518B - Method and device for processing early warning information of multiple disasters based on space-time correlation - Google Patents

Method and device for processing early warning information of multiple disasters based on space-time correlation Download PDF

Info

Publication number
CN115512518B
CN115512518B CN202211359568.3A CN202211359568A CN115512518B CN 115512518 B CN115512518 B CN 115512518B CN 202211359568 A CN202211359568 A CN 202211359568A CN 115512518 B CN115512518 B CN 115512518B
Authority
CN
China
Prior art keywords
warning information
disaster
information report
report
disaster early
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202211359568.3A
Other languages
Chinese (zh)
Other versions
CN115512518A (en
Inventor
请求不公布姓名
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
INSTITUTE OF CARE-LIFE
Chengdu Meihuan Technology Co ltd
Original Assignee
INSTITUTE OF CARE-LIFE
Chengdu Meihuan Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by INSTITUTE OF CARE-LIFE, Chengdu Meihuan Technology Co ltd filed Critical INSTITUTE OF CARE-LIFE
Priority to CN202211359568.3A priority Critical patent/CN115512518B/en
Publication of CN115512518A publication Critical patent/CN115512518A/en
Application granted granted Critical
Publication of CN115512518B publication Critical patent/CN115512518B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/10Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Tourism & Hospitality (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Educational Administration (AREA)
  • Theoretical Computer Science (AREA)
  • Development Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Environmental & Geological Engineering (AREA)
  • Geology (AREA)
  • Emergency Management (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Alarm Systems (AREA)

Abstract

The embodiment of the invention provides a method and a device for processing early warning information of various disasters based on space-time correlation, and belongs to the technical field of disaster early warning. Comprising the following steps: responding to the received disaster early-warning information report, and acquiring early-warning stage types of the first historical disaster early-warning information report and at least one second historical disaster early-warning information report; under the condition that the acquired early warning stage types are all end reports, when the current disaster early warning risk level is higher than a threshold value, determining the current disaster early warning information report 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-ending report, determining the current disaster early warning information report as the updated report or 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 information generation type and the early warning ending condition of the current disaster early warning information report. The invention can realize the time-space correlation of disaster early warning information report of different monitoring areas and fusion of disaster early warning events.

Description

Method and device for processing early warning information of multiple disasters based on space-time correlation
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 various disasters based on space-time correlation, a device for processing early warning information of various disasters based on space-time correlation, a terminal device and a computer readable storage medium.
Background
At present, the monitoring and early warning system for various natural disasters is usually independent, namely, the monitoring and early warning system is independent for each sub-divided disaster, but various natural disasters can affect the production and life even life safety of people, and various natural disasters can occur in parallel, or one disaster causes secondary disasters such as earthquake-induced rolling stones and landslide, but the existing independent monitoring and early warning system for various disasters can generally cause the problems of non-sharing of monitoring equipment, non-sharing of data, incomplete early warning and the like, and the actual requirements are difficult to meet.
In addition, various monitoring and early warning methods are often available for each natural disaster, for example, mountain floods or geological disasters can be early warned by weather forecast, and disasters such as landslide and debris flow can be early warned by analysis of monitoring data of monitoring devices such as a crack meter, a GNSS, a mud water level meter and the like. The method has the advantages that different methods are adopted for monitoring and early warning, the coverage area is different, the data sources during monitoring and early warning are different, the time urgency, the space accuracy and the reliability of early warning information are different, the prior art cannot classify the commonality of a plurality of disaster species simultaneously according to different monitoring and early warning methods, the elements such as the time urgency, the space accuracy and the reliability contained in the early warning information cannot be clearly classified, meanwhile, the prior art cannot determine the early warning stage of the early warning information according to the generation mode of the early warning information, and the time-space correlation cannot be carried out on a plurality of disaster early warning information, so that the accurate information fusion and update processing cannot be carried out on different early warning information, the disaster early warning event corresponding to the early warning information cannot be accurately correlated, the evolution process of the disaster cannot be accurately reflected, and the requirements of users on timely updating, responding and early warning disposal of the information cannot be met.
In the multi-disaster early warning process, the occurrence, the progress and the ending of disasters are dynamic evolution processes and also are possible spreading processes (such as mountain fires, mountain floods and other natural disasters), the existing single-disaster early warning information report is independent, the correlation among the information is insufficient, the current evolution state of the disasters or the current risk state of the disasters can be only independently displayed, and the whole evolution process of the disasters or the risk change process of the disasters can not 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 various disasters based on space-time correlation, which are used for solving the problems that the prior art cannot perform space-time correlation on numerous disaster early warning information, cannot accurately correlate disaster early warning events corresponding to disaster early warning information and cannot effectively reflect the whole 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 disaster early-warning information based on space-time correlation, including:
responding to 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 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 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 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 the current disaster early warning information report as the first report of a new disaster early warning event; 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 non-ending report, acquiring the information generation type of the current disaster early warning information report, and determining the current disaster early warning information report as an updating report or 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 according to the information generation type of the current disaster early warning information report and the early warning ending condition.
Preferably, the information generation category of the current disaster early warning information report includes: automatic report and study report; the method further comprises the steps of:
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 warning information report is generated after manual inspection and/or manual judgment, determining the current disaster warning information report as judgment report.
Preferably, the early warning ending condition comprises a first early warning ending condition and a second early warning ending condition; determining that the current disaster early-warning information report is updated report or 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, wherein the method comprises the following steps:
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 is a research 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;
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 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 second early warning ending condition.
Preferably, the research report is a comprehensive research performed in combination with the latest information of the current monitoring area and at least one adjacent monitoring area; or (b)
The studying judgment report is a comprehensive studying judgment 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 report. Preferably, determining, according to the current disaster early-warning information report and the second early-warning ending condition, that the current disaster early-warning information report is an update report or 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 includes:
determining that the current disaster early-warning information report is the 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 under the condition that the current disaster early-warning information report meets the second early-warning ending 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 the current disaster early-warning information report as 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.
Preferably, the first early 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 early warning end condition includes:
the disaster early-warning risk level corresponding to the current disaster early-warning information report is not higher than the preset risk level, and in a preset time period after the current disaster early-warning information report is received, no new disaster early-warning information report is received, and 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 early warning end condition includes:
the disaster early-warning risk level corresponding to the current disaster early-warning information report is not higher than the preset risk level, and a new disaster early-warning information report with the corresponding disaster early-warning risk level not lower than the preset risk level is not received within the preset time period, and 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 the monitoring area, of which the distance between the monitoring areas corresponding to the current disaster early-warning information report is lower than the distance threshold value, as the 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 warning information report is lower than a distance threshold value, and the monitoring areas with the height difference between the monitoring areas corresponding to the current disaster warning information report being lower than the height difference threshold value are adjacent monitoring areas of the monitoring areas corresponding to the current disaster warning information report.
Preferably, the method further comprises:
and determining the monitoring areas with preset association relations between the monitoring areas corresponding to the current disaster early warning information report as adjacent monitoring areas of the monitoring areas corresponding to the current disaster early warning information report.
In a second aspect of the present invention, there is provided a plurality of disaster early warning information processing devices based on space-time correlation, comprising:
the early warning information receiving module is configured to receive disaster early warning information report;
an early warning stage type acquisition module 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 the received disaster early warning information report, acquire early warning stage types of the first historical disaster early warning information report and the second historical disaster early warning information report, 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 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 category of an adjacent monitoring area of the 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 a risk level threshold 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
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 non-ending report, acquiring the information generation type of the current disaster early warning information report, and determining the current disaster early warning information report as an updating report or 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 according to the information generation type of the current disaster early warning information report and the early warning ending 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 methods for processing disaster early warning information based on time-space correlation when executing the computer program.
In a fourth aspect of the present invention, there is provided a computer-readable storage medium having instructions stored therein that, when run on a computer, cause the computer to perform the above-described methods of processing disaster early-warning information based on spatiotemporal correlation.
The technical scheme of the invention has at least the following beneficial effects:
according to the invention, the early warning stage types of the disaster early warning information report corresponding to the monitoring area and at least one adjacent area are obtained, the current disaster early warning information report is determined to be the first report of a new disaster early warning event according to the early warning stage types of all the determined previous disaster early warning information report and the information generation types of the current disaster early warning information report, or the update 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 is determined, so that the time-space association of the disaster early warning information report of different monitoring areas is realized, the fusion and update processing of the disaster early warning event can be accurately carried out on the received disaster early warning information report, the early warning stage to which the current disaster early warning information report belongs is accurately determined, the independent disaster early warning information report is associated, and the relevant information is beneficial to the user to be updated, responded or treated in time through the evolution process of the disaster early warning event reflecting the disaster or the risk change process of the disaster.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of 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, without limitation, the embodiments of the invention. In the drawings:
FIG. 1 is a flow chart of a method for processing various disaster early warning information based on space-time correlation according to the preferred embodiment of the present invention;
FIG. 2 is a schematic view of an adjacent monitoring area provided by a preferred embodiment of the present invention;
FIG. 3 is a schematic view of another adjacent monitoring area provided by a preferred embodiment of the present invention;
FIG. 4 is a schematic elevation view of an adjacent monitoring area provided by a preferred embodiment of the present invention;
FIG. 5 is a schematic block diagram of a disaster early warning information processing device based on space-time 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 equipment, 100-processor, 101-memory, 102-computer program.
Detailed Description
The following describes specific embodiments of the present invention in detail with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.
In this embodiment, the monitoring area may be defined in different ranges according to different disaster types, for example, in a scenario of earthquake early warning, the monitoring area may be a monitoring area in a range of tens or even tens of kilometers using the intensity meter as the original shape, and in other disasters, the monitoring area may be a small range of hundreds of meters, kilometers or a large range of tens of kilometers.
In this embodiment, the previous disaster warning event refers to a disaster warning event corresponding to a disaster warning information report in which the type of the early warning stage in the first historical disaster warning information report and all the second historical disaster warning information reports is the first report or the updated report.
As shown in fig. 1, the present embodiment provides a method for processing disaster early-warning information based on space-time 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 category 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 category of an adjacent monitoring area of the 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 end reports, when the disaster early warning risk level corresponding to the current disaster early warning information report is higher than the risk level threshold, determining the current disaster early warning information report as the first report of a new disaster early warning event; 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 non-ending report, acquiring the information generation type of the current disaster early warning information report, and determining that the current disaster early warning information report is an updating report or 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 according to the information generation type of the current disaster early warning information report and the early warning ending condition.
In this way, the present embodiment determines, by acquiring the pre-warning stage types of the pre-warning information reports of the current disaster pre-warning information report corresponding to the monitoring area and at least one of the adjacent monitoring areas, whether the current disaster pre-warning information report is the first report of the new disaster pre-warning event or the update report or the end report of the previous disaster pre-warning event according to the determined pre-warning stage types of all the previous disaster pre-warning information reports and the information generation types of the current disaster pre-warning information report. Therefore, the time-space correlation of disaster early-warning information reports of different monitoring areas is realized, the fusion and update 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 current disaster early-warning information report can be updated, responded or disposed in time by a user.
At present, most of monitoring and early warning of natural disasters generally monitor disaster characteristic data of corresponding natural disasters by setting corresponding monitoring equipment, the monitoring equipment collects corresponding monitoring data containing the disaster characteristic data and sends the monitoring data to a server for analysis and processing, and the server determines whether to generate corresponding disaster early warning information according to preset rules. For example, in the process of monitoring waterlogging, disaster characteristic data are ponding depth, monitoring equipment monitors ponding depth, a server receives monitoring data of ponding depth in real time, when ponding depth exceeds a preset ponding depth threshold value, risk of waterlogging occurs or waterlogging occurs is considered, and the server generates corresponding disaster early warning information. In this embodiment, the information included in the disaster early warning information includes, but is not limited to, disaster category, early warning event ID, disaster point position information, early warning prompt time, information generation category, disaster feature data, and the like.
In the disaster early warning field, the occurrence, progress and ending of the disaster are a dynamic evolution process, which is called a disaster event, and correspondingly, the generation, update and release of 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 be a risk prompt before the occurrence of the disaster event, or may be the whole process from the risk prompt before the occurrence of the disaster event to the occurrence of the disaster event, for example, the disaster early warning event may be the process of the risk prompt only aiming at the possible occurrence of the disaster, namely, the change of the disaster occurrence risk in different stages; alternatively, the disaster early warning event may be a dynamic evolution process generated after the disaster occurs, accompanied by the occurrence, change and termination of the disaster. A 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 generation and transmission of disaster early warning information events are carried out in the form of information report.
The early warning center server processes a plurality of disaster early warning information reports every day, wherein 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, multiple disaster warning information reports may be generated in the same monitoring area, and the generated multiple disaster warning information reports may correspond to the same disaster warning event or may correspond to different disaster warning events. In order to facilitate a user to quickly and accurately determine a plurality of disaster warning information reports and update, respond or dispose the disaster warning information in time, the invention classifies and screens the disaster warning information reports, and corresponds the disaster warning information reports to disaster warning events and disaster warning stages of the disaster warning events so as to update, respond or dispose the current disaster warning information report in time; for the disaster early-warning event, after the first report, updating the disaster early-warning information report of the disaster early-warning event content into an updated report; for the disaster early warning event, after the first report, judging the disaster early warning information report generated when the disaster early warning event is ended or the risk of the disaster is relieved as an end report, and ending the report to show that the early warning is relieved, wherein the current disaster early warning event is ended. It can be appreciated that after determining the type of the early-warning stage of the disaster early-warning information report, the corresponding type of the early-warning stage 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 present embodiment first obtains disaster point position information and disaster category information in the 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, where the first historical disaster early warning information report and the second historical disaster early warning information report are matched with each other, that is, a previous disaster early warning information report of the same disaster category and a previous disaster early warning information report of the same disaster category of at least one adjacent monitoring area, where the first historical disaster early warning information report and the second historical disaster early warning information report are matched with each other. For example, the disaster point position information in the current disaster early-warning information report is A1, and the disaster category is 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 the disaster point position information and the disaster category of the current disaster early warning information report are determined, the previous disaster early warning information report with the disaster category being fire disaster and the disaster point position information being A1 and the previous disaster early warning information report with the disaster point position information being at least one of the adjacent monitoring areas of A1, such as A2, A4 and A5, 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 areas, for example, in fig. 3, the adjacent monitoring area of A1 includes A2, A3, A4, B1, B2, where A1 to A4 belong to the same monitoring area range a, B1 to B2 belong to the monitoring area range B, when the previous disaster early warning information report of the adjacent monitoring area of A1 is obtained, the target adjacent monitoring area of A1 may be determined to be A2, A3, A4, or A2, A3, A4, B1, and B2 according to the actual situation, and meanwhile, when screening the second historical disaster early warning information report, it may be determined whether the disaster category is matched with the current disaster early warning information report, then determine whether the disaster point position is matched, and then determine whether the disaster point position is matched, if the disaster category is matched, which is not limited.
Of course, the method for obtaining the first historical disaster early warning information report can also be optimized on the method, unique identification is carried out on each disaster point position, the unique identification comprises disaster categories, when the current disaster early warning information report is received, the disaster early warning information report under the unique identification of the disaster point position is obtained, and then the first historical disaster early warning information report is screened out according to early warning prompt time; or, carrying out unique identification on each disaster point position, wherein the unique identification comprises disaster categories, all disaster early warning information reports are arranged in a time axis, and when the current disaster early warning information report is received, acquiring the latest disaster early warning information report on the time axis as a first historical disaster early warning information report according to the unique identification of the disaster point position and combining the time axis. In this embodiment, the method for determining the adjacent monitoring area includes: and determining the monitoring area, of which the distance between the monitoring areas corresponding to the current disaster early-warning information report is lower than the distance threshold value, as the adjacent monitoring area of the monitoring area corresponding to the current disaster early-warning information report. For example, the distance between the center 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 center point of other monitoring areas is lower than a distance threshold value, the corresponding monitoring area is determined to be the adjacent monitoring area of the current monitoring area.
In order to more accurately determine the adjacent monitoring areas, the method of the present embodiment further includes: and determining that the distance between the monitoring areas corresponding to the current disaster warning information report is lower than a distance threshold value, and the monitoring areas with the height difference between the monitoring areas corresponding to the current disaster warning information report being lower than the height difference threshold value are adjacent monitoring areas of the monitoring areas corresponding to the current disaster warning information report. In the actual monitoring process, the situation that the topography of each monitoring area is uneven often exists, for example, when the mountain floods are warned, the topography of each monitoring area is fluctuated, and the mountain floods can flow from the high position of the topography to the low position of the topography, namely flow from the upstream to the downstream, so that in order to more accurately correlate disaster warning information report with disaster warning events, the evolution process of disaster/disaster warning is accurately reflected, and the embodiment is further based on the determination of the horizontal distance and the elevation difference between the current monitoring area and each monitoring area and the adjacent monitoring area of the current 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 distance lower than the distance threshold value are determined to be B1, B2, A3 and A4, respectively calculating the elevation differences delta h1, delta h2, delta h3, delta h4 and delta h5 of the monitoring areas A1 and B1, B2, A3 and A4, and if the elevation differences delta h1, delta h2 and delta h3 are lower than the elevation difference threshold value, determining that the adjacent monitoring areas of A1 are B1, B2 and A2. It should be noted that the above division of 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, C3, and the distances between the ground surfaces of the monitoring areas A1, A2, C1, C2, C3 and the ground level are taken as the elevations of the monitoring areas A1, A2, C1, C2, C3.
In addition, in this embodiment, the adjacent monitoring areas may be determined by a preset association relationship, for example, by associating the downstream monitoring areas in the same flow area with the adjacent monitoring areas of the upstream monitoring areas in advance, or of course, an association library table may be established in advance, where the monitoring areas are associated with each other by mapping or other corresponding methods.
After determining the second historical disaster warning information report of at least one adjacent monitoring area, further acquiring all the previous disaster warning information report, namely the first historical disaster warning information report and all the early warning stage types in the second historical disaster warning information report, judging whether the early warning stage types in all the previous disaster warning information report are finish reports, if the early warning stage types in all the previous disaster warning information report are finish reports, indicating that the previous disaster warning event is finished, if the disaster warning risk level corresponding to the current disaster warning information report is higher than the risk level threshold, determining that the current disaster warning information report corresponds to a new disaster warning event, adding the new disaster warning event ID in the current disaster warning information report, and marking the early warning stage type of the current disaster warning information report as the first report. For example, all the previous disaster early warning information reports include (fire, W1, A1, T1, C1, automatic report, end report) and (fire, W2, A2, T2, C2, automatic report, end report), the current disaster early warning information report is (fire, A3, T3, C3, automatic report), and since the early warning stage types in all the previous disaster early warning information reports are all end reports, the current disaster early warning information report is the first report of a new disaster early warning event, the current disaster early warning information report is updated to (fire, W3, A3, T3, C3, automatic report, first report). Wherein W represents early warning event ID, A represents disaster point position information, T represents early warning prompt time, and C represents disaster characteristic data such as smoke concentration or hot spot information.
If the type of the early warning stage of any disaster early warning information report in all the previous disaster early warning information reports is a non-ending report, namely a first report or an updated report, and the early warning stage of any disaster early warning information report is a first report or an updated report, wherein the first report or the updated report indicates that the evolution process of the previous disaster early warning event is not ended or the risk of occurrence of the disaster is not relieved, whether the current disaster early warning information report meets the early warning ending condition of the disaster early warning event is further judged, if the current disaster early warning information report meets the early warning ending condition, the information generation category of the current disaster early warning information report is further obtained, and then the current disaster early warning information report is determined to be the updated report or the 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 category of the disaster warning information report includes: the method comprises the steps of automatic report and judgment report, wherein the information generation category of 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 type of the current disaster early-warning information report as an automatic report; if the current disaster warning information report is generated after manual inspection and/or manual judgment, determining the information generation type of the current disaster warning information report as judgment report.
The automatic report is an information report automatically generated according to the monitoring data collected by the monitoring equipment, for example, the current water level data of the monitoring area is collected through a water level meter which is arranged in the monitoring area in advance, the collected current water level data is transmitted to the server through the communication module, the server calls a preset disaster early-warning model to process the collected current water level data, and the corresponding disaster early-warning information report is generated and marked to be the automatic report. It can be understood that the disaster early-warning model is different according to different specific disaster categories, and the disaster early-warning model may be a set of generation rules of disaster early-warning information report for a certain type of 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, for example, landslide early warning based on instrument monitoring, because the monitoring data collected by the instrument often have more jumps and anomalies due to the external severe environment or the problems of the instrument, and automatic report generated based on the monitoring data collected by the instrument has certain anomaly probability, in order to ensure the reliability of disaster early warning information report, manual research and judgment on the monitoring data is usually needed to generate research and judgment report as supplement and correction to the automatic report; in addition, the automatic report is automatically generated based on instrument monitoring data, and the research judgment report can be combined with other multi-source data on the basis of the automatic report, for example, the auxiliary operation of combining satellite images, forecast rainfall information, camera information and the like is carried out, so that the disaster risk and change can be judged more accurately manually. In this embodiment, the research report may be a supplement to an area not covered by the monitoring apparatus or an abnormal situation not monitored by the monitoring apparatus, for example, after the patrol personnel manually surveys the related situation of the disaster early warning, the personnel uploads the research report including the related data and/or the disaster situation by themselves, and the research report is not a supplement and correction to the automatic report. It will be appreciated that in order to distinguish whether the report is a correction to an automated report or a new report generated by inspection, the report may be marked with a different identifier when the report is generated.
In this embodiment, the early warning ending conditions include a first early warning ending condition and a second early warning ending condition; determining the current disaster early-warning information report as an updated report or an ending report of a previous disaster early-warning event according to the information generation category and the early-warning ending condition of the current disaster early-warning information report, comprising: 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 previous disaster early-warning event; 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 research judgment report, determining that the current disaster early-warning information report is the ending report of the previous disaster early-warning event, wherein the research judgment report is comprehensive research judgment performed 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 combined with 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 areas can be manually collected or calibrated disaster characteristic data and/or related information such as satellite images, forecast rainfall information, camera information and the like. 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 a previous disaster early-warning event according to the second early-warning ending condition. 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, for example, the disaster feature data may not exceed a corresponding index threshold value as the first early warning ending condition. Taking a disaster type as a fire disaster as an example, if in the current disaster early-warning information report, the early-warning prompt time is at the moment T0, the smoke concentration is 5ppm, and the acquired early-warning event of the current monitoring area is at the moment of T0-1 hours in the previous disaster early-warning information report, the smoke concentration is 100ppm, the time interval between the current disaster early-warning information report 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 smaller than a preset concentration threshold value such as 10ppm, then the current disaster early-warning information report is considered to meet the first early-warning ending condition. In this embodiment, the current disaster early warning information report may be an early warning information report reflecting the disaster risk of a certain disaster category, or may be an early warning information report reflecting the occurrence process of the disaster category when the disaster category has occurred. For example, for mountain fires, if the current disaster warning information report is a warning information report reflecting the occurrence process of the disaster, the main characteristic index may be whether there is a hot spot in the monitored area, for example, compared with all previous disaster warning information reports reaching the preset time threshold, if there is no hot spot in the current disaster warning information report, the current disaster warning information report is considered to satisfy the first warning end condition. It can be understood that whether the hot spot exists in each monitoring area can be obtained through an image acquisition device arranged in each monitoring area or through satellite image recognition, the identification of the hot spot is not limited in this regard, meanwhile, it is to be understood that specific values of the above parameters are only used for illustrating the method of the present application, not for limiting the above parameters specifically, and specific values of related parameters can be adjusted according to practical situations.
If the current disaster early-warning information report does not meet the first early-warning ending condition, the evolution process of the current disaster early-warning event is not ended, and the current disaster early-warning information report is determined to be an updated report of the previous disaster early-warning event. For example, taking a disaster type as a fire disaster as an example, if in the current disaster early-warning information report, the early-warning prompt time is at the moment T0, the smoke concentration is 20000ppm, in the acquired previous disaster early-warning information report with the early-warning event ID of W1 in the current monitoring area, the early-warning prompt time is at the moment T0-15 minutes, the smoke concentration is 18000ppm, the time interval between the early-warning information report and the current disaster early-warning information report does not reach the preset time threshold, and the smoke concentration of the current disaster early-warning information report is greater than the preset smoke concentration threshold, such as 10ppm, the current disaster early-warning information report is considered to not meet the first early-warning end condition, and the early-warning stage type of updating the current disaster early-warning information report is the updated report of the previous disaster early-warning event.
In this embodiment, the first early warning end 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 the 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, aiming at the same disaster early warning event, if the smoke concentration of the current disaster early warning information is higher than a first smoke concentration threshold value such as 20000ppm within a preset time threshold value such as 20 minutes, determining the current disaster early warning risk level to be L1 level, if the smoke concentration is lower than the first smoke concentration threshold value and higher than a second smoke concentration threshold value, wherein the second smoke concentration threshold value is smaller than the first smoke concentration threshold value, if the second smoke concentration threshold value is 10000ppm, determining the current disaster early warning risk level to be L2 level, indicating that the current risk level is lower than level L1, if the smoke concentration is lower than the second smoke concentration threshold value by 10000ppm, determining the current risk level to be L3 level, and the like. In a specific example of this embodiment, according to different variation amounts within a preset time threshold, the disaster early warning risk class is divided into L1 to L4 classes, the risk classes represented by the classes are sequentially reduced, where L1 class is represented by red, L2 class is represented by orange, L3 class is represented by yellow, and L4 class is represented by blue, for example, when it is determined that the disaster early warning risk class corresponding to the current disaster early warning information report is L4 class, the current disaster early warning information report may be marked as blue, and when it is determined that the disaster early warning risk class corresponding to the current disaster early warning information report is lower than L4 class, the 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 will be appreciated that in this embodiment, the method for determining the disaster warning risk level includes, but is not limited to, the above steps, which are merely exemplary descriptions for determining the disaster level. In this embodiment, on the basis of the disaster early-warning risk levels L1 to L4, a low risk level may be further increased, 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, an early-warning end condition is satisfied.
If the current disaster warning information report meets the first warning ending condition, further judging whether the current disaster warning information report is an automatic report or a research judgment report, for example, the current disaster warning information report can be determined to be the automatic report or the research judgment report by acquiring the information generation category of the current disaster warning information report. If the current disaster early-warning information report is determined to be a studying judgment report, marking the current disaster early-warning information report as an ending report of a previous disaster early-warning event, and not generating a new disaster early-warning event at the moment; if the current disaster early-warning information report is determined to be automatic, 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 the ending report of the previous disaster early-warning event under the condition that the current disaster early-warning information report meets the second early-warning ending condition; or under the condition that the current disaster early-warning information report does not meet the second early-warning ending condition, determining the current disaster early-warning information report as the updated report of the previous disaster early-warning event.
In a specific example of this embodiment, the second early warning end condition includes: the disaster early warning risk level corresponding to the current disaster early warning information report is not higher than the preset risk level, and in the preset time period after the current disaster early warning information report is received, no new disaster early warning information report is received, and 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 determining that the disaster warning risk level of the current disaster warning information report is a low risk level, continuously monitoring whether the disaster warning information report of the same disaster category as the current disaster warning information report in the same monitoring area or the adjacent monitoring area is received within a preset time period n hours, if the new disaster warning information report of the same disaster category in the same monitoring area or the adjacent monitoring area is not received, determining that a second warning ending condition is met, and marking the current disaster warning information report as an ending report; otherwise, the current disaster early warning information report is marked as an update report. Therefore, the disaster early warning information report is continuously monitored within the preset time period n hours, and untimely updating of the continuation process of the current disaster early warning event 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, the possibility of reburning still exists in the mountain fire at the moment, if it is determined that the current disaster early-warning information report meets the second early-warning end condition at the moment, the current disaster early-warning information report is marked as an end report of the current disaster early-warning event, and the current disaster early-warning event is ended, the reburning mountain fire in the monitored area or the adjacent monitored area may be erroneously determined as a new disaster event, and in fact, the reburning mountain fire is a continuation of the previous disaster event, thereby leading to untimely update of the disaster event.
In another specific example of the present embodiment, the second early warning end condition includes: the disaster early warning risk level corresponding to the current disaster early warning information report is not higher than the preset risk level, and a new disaster early warning information report corresponding to the disaster early warning risk level not lower than the preset risk level is not received any more in a preset time period, and 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 determining that the disaster warning risk level of the current disaster warning information report is a low risk level, if a new disaster warning information report of the same disaster category as the current disaster warning information report in the same monitoring area or an adjacent monitoring area is received within a preset time period n hours, further judging whether the disaster warning risk level of the received new disaster warning information report is higher than the low risk level, if the disaster warning risk level of all the disaster warning information reports received within n hours is not higher than the low risk level, determining that a warning ending condition is met, and marking the current disaster warning information report as an ending report; otherwise, the current disaster early warning information report is marked as an update report.
As shown in fig. 5, in a second aspect of the present invention, there is provided a plurality of disaster early-warning information processing apparatuses based on space-time correlation, comprising:
the early warning information receiving module is configured to receive disaster early warning information report;
the early warning stage type acquisition module is configured to respond to the 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, 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 category 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 category of an adjacent monitoring area of the 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 a risk level threshold 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
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 non-ending report, acquiring the information generation type of the current disaster early warning information report, and determining that the current disaster early warning information report is an updating report or 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 according to the information generation type of the current disaster early warning information report and the early warning ending 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, the processor implementing the above-mentioned methods for processing disaster early warning information based on time-space correlation when executing the computer program.
Fig. 6 is a schematic diagram of a terminal device according to the present 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 executable on the processor 100. The steps of the method embodiments described above are implemented by the processor 100 when executing the computer program 102. Alternatively, the processor 100, when executing the computer program 102, performs the functions of the modules/units of the apparatus embodiments described above.
By way of example, computer program 102 may be partitioned into one or more modules/units that are stored in memory 101 and executed by processor 100 to accomplish the present invention. One or more of the modules/units may be a series of computer program instruction segments capable of performing a specific function for describing 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 acquisition module, and a disaster early warning information report judgment module.
The terminal device 10 may be a computing device such as a desktop computer, a notebook computer, a palm computer, an intelligent terminal, a cloud server, a disaster warning special-purpose warning terminal, etc. Terminal device 10 may include, but is not limited to, a processor 100, a memory 101. It will be appreciated by those skilled in the art that fig. 6 is merely an example of the terminal device 10 and is not limiting of the terminal device 10, and may include more or fewer components than shown, or may combine certain components, 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 (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 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 provided on the terminal device 10, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like. Further, the memory 101 may also include both an internal storage unit and an external storage device of the terminal device 10. 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 that, when executed on a computer, cause the computer to perform the above-described methods of processing disaster warning information based on spatio-temporal correlation.
The alternative embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the embodiments of the present invention are not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solutions of the embodiments of the present invention within the scope of the technical concept of the embodiments of the present invention, and all the simple modifications belong to the protection scope of the embodiments of the present invention.
In addition, the specific features described in the above embodiments may be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the various possible combinations of embodiments of the invention are not described in detail.
Those skilled in the art will appreciate that all or part of the steps in a method for implementing the above embodiments may be implemented by a program stored in a storage medium, where the program includes several instructions for causing a single-chip microcomputer, chip or processor (processor) to perform all or part of the steps in a method according to various embodiments of the invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In addition, any combination of the various embodiments of the present invention may be made, so long as it does not deviate from the idea of the embodiments of the present invention, and it should also be regarded as the disclosure of the embodiments of the present invention.

Claims (14)

1. A method for processing various disaster early warning information based on space-time correlation is characterized by comprising the following steps:
responding to 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 an early-warning stage type of the first historical disaster early-warning information report and an early-warning stage type of 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 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 category of an adjacent monitoring area of the 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 the early-warning stage types of all the second historical disaster early-warning information report are all 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
Under the condition that the early warning stage type of the first historical disaster early warning information report and/or the early warning stage type of at least one second historical disaster early warning information report are/is determined to be non-end report, acquiring the information generation type of the current disaster early warning information report, and determining that the current disaster early warning information report is the update 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 type of the current disaster early warning information report and the early warning end condition.
2. The method for processing various disaster warning information based on space-time correlation according to claim 1, wherein the information generation category of the current disaster warning information report comprises: automatic report and study report; the method further comprises the steps of:
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 warning information report is generated after manual inspection and/or manual judgment, determining the current disaster warning information report as judgment report.
3. The method for processing disaster warning information based on space-time correlation according to claim 2, wherein the warning ending conditions include a first warning ending condition and a second warning ending condition; determining that the current disaster early-warning information report is updated report or 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, wherein the method comprises the following steps:
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 is a research 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;
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 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 second early warning ending condition.
4. The method for processing multiple disaster warning information based on space-time correlation according to claim 3, wherein the studying and judging report is a comprehensive studying and judging carried out by combining the latest information of the corresponding monitoring area of the current disaster warning information report and at least one of the adjacent monitoring areas; or (b)
The studying judgment report is a comprehensive studying judgment carried out by combining the latest information of the monitoring area corresponding to the current disaster early warning information report, 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 report.
5. The method for processing multiple disaster warning information based on space-time correlation according to claim 3, wherein determining, according to the current disaster warning information report and the second warning end condition, that the current disaster warning information report is an update report or an end report of a disaster warning event corresponding to the first historical disaster warning information report or the second historical disaster warning information report, includes:
determining that the current disaster early-warning information report is the 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 under the condition that the current disaster early-warning information report meets the second early-warning ending 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 the current disaster early-warning information report as 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.
6. The method for processing disaster warning information based on space-time correlation according to claim 3, wherein the first warning ending condition comprises:
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.
7. The method for processing disaster warning information based on space-time correlation according to claim 3, wherein the second warning ending condition comprises:
the disaster early-warning risk level corresponding to the current disaster early-warning information report is not higher than the preset risk level, and in a preset time period after the current disaster early-warning information report is received, no new disaster early-warning information report is received, and 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 method for processing disaster warning information based on space-time correlation according to claim 3, wherein the second warning ending condition comprises:
the disaster early-warning risk level corresponding to the current disaster early-warning information report is not higher than the preset risk level, and a new disaster early-warning information report corresponding to the disaster early-warning risk level not lower than the preset risk level is not received within a preset time period, and 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 method for processing disaster warning information based on space-time correlation according to claim 1, further comprising:
and determining the monitoring area, of which the distance between the monitoring areas corresponding to the current disaster early-warning information report is lower than the distance threshold value, as the adjacent monitoring area of the monitoring area corresponding to the current disaster early-warning information report.
10. The method for processing disaster warning information based on space-time correlation according to claim 1, further comprising:
determining that the distance between the monitoring areas corresponding to the current disaster warning information report is lower than a distance threshold value, and the monitoring areas with the height difference between the monitoring areas corresponding to the current disaster warning information report being lower than the height difference threshold value are adjacent monitoring areas of the monitoring areas corresponding to the current disaster warning information report
11. The method for processing disaster warning information based on space-time correlation according to claim 1, further comprising:
and determining the monitoring areas with preset association relations between the monitoring areas corresponding to the current disaster early warning information report as adjacent monitoring areas of the monitoring areas corresponding to the current disaster early warning information report.
12. A plurality of disaster early warning information processing devices based on space-time correlation, comprising:
the early warning information receiving module is configured to receive disaster early warning information report;
the early warning stage type acquisition module is configured to respond to the 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 the early warning stage type of the first historical disaster early warning information report and the early warning stage type of the second historical disaster early warning information report, wherein the first historical disaster early warning information report is the previous disaster early warning information report of the same disaster category of the monitoring area corresponding to the current disaster early warning information report, and the second historical disaster early warning information report is the previous disaster early warning information report of the same disaster category of the adjacent monitoring area of the 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 a risk level threshold under the condition that the early warning stage types of the first historical disaster early warning information report and all the early warning stage types of the second historical disaster early warning information report are determined to be end reports; and
Under the condition that the early warning stage type of the first historical disaster early warning information report and/or the early warning stage type of at least one second historical disaster early warning information report are/is determined to be non-end report, acquiring the information generation type of the current disaster early warning information report, and determining that the current disaster early warning information report is the update 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 type 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, characterized in that the processor implements the spatio-temporal correlation-based disaster warning information processing method according to any one of claims 1 to 11 when executing the computer program.
14. A computer-readable storage medium having instructions stored therein, which when run on a computer, cause the computer to perform the spatiotemporal correlation-based disaster warning information processing method of any one of claims 1 to 11.
CN202211359568.3A 2022-11-01 2022-11-01 Method and device for processing early warning information of multiple disasters based on space-time correlation Active CN115512518B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211359568.3A CN115512518B (en) 2022-11-01 2022-11-01 Method and device for processing early warning information of multiple disasters based on space-time correlation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211359568.3A CN115512518B (en) 2022-11-01 2022-11-01 Method and device for processing early warning information of multiple disasters based on space-time correlation

Publications (2)

Publication Number Publication Date
CN115512518A CN115512518A (en) 2022-12-23
CN115512518B true CN115512518B (en) 2023-07-28

Family

ID=84512354

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211359568.3A Active CN115512518B (en) 2022-11-01 2022-11-01 Method and device for processing early warning information of multiple disasters based on space-time correlation

Country Status (1)

Country Link
CN (1) CN115512518B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
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

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2010342859B2 (en) * 2010-01-19 2013-09-19 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
CN113611085B (en) * 2021-10-11 2021-12-17 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

Also Published As

Publication number Publication date
CN115512518A (en) 2022-12-23

Similar Documents

Publication Publication Date Title
CN115512518B (en) Method and device for processing early warning information of multiple disasters based on space-time correlation
CN111917877A (en) Data processing method and device for Internet of things equipment, electronic equipment and storage medium
CN105791022A (en) Congestion degree detection and early-warning system
CN112927461B (en) Early warning decision method and device for charging pile of new energy automobile
CN111932709A (en) Method for realizing violation safety supervision of inspection operation of gas station based on AI identification
CN112164049B (en) Method and device for monitoring illegal construction
WO2020111934A1 (en) A method and system for detection of natural disaster occurrence
CN113283824A (en) Comprehensive management method and system for intelligent park data
CN117538503A (en) Real-time intelligent soil pollution monitoring system and method
CN115660922A (en) Intelligent safety and fire integrated early warning management system based on Internet of things
CN111966746A (en) Meteorological disaster prevention and reduction flow monitoring system and monitoring method thereof
CN117523299B (en) Image recognition method, system and storage medium based on computer network
CN115798174B (en) Fusion processing method, device and equipment for multi-disaster early warning information and storage medium
CN113869220A (en) Monitoring method and system for major traffic accidents
CN117149565A (en) State detection method, device, equipment and medium for key performance indexes of cloud platform
CN117037065A (en) Flame smoke concentration detection method, device, computer equipment and storage medium
CN115619222B (en) Early warning information processing method and device for multiple disasters and terminal equipment
CN116011927A (en) Supervision inspection method and device, electronic equipment and storage medium
CN116051497A (en) Intelligent analysis method for power transmission and transformation images of power grid based on data processing
CN114661929A (en) Operation management method, device and equipment for forest treatment and storage medium
CN112583792A (en) Daily monitoring system and method for network station group
CN116633467B (en) Emergency broadcasting system combining artificial intelligence technology
CN116452924B (en) Model threshold adjustment method and device, electronic equipment and storage medium
CN112347151B (en) Suspicion degree determination method and data analysis equipment
CN117119434B (en) Personnel identification method, device, equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant