CN111966746A - Meteorological disaster prevention and reduction flow monitoring system and monitoring method thereof - Google Patents
Meteorological disaster prevention and reduction flow monitoring system and monitoring method thereof Download PDFInfo
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Abstract
The invention relates to a computer-implemented meteorological disaster prevention and reduction flow monitoring method, which comprises the following steps: lane receiving step: receiving weather data using at least one live swimlane of weather station data and event data using at least one live swimlane of event data; lane data processing step: analyzing the time, the event position and the event type of the event data, and analyzing the time and data quantity value in the meteorological data based on the meteorological stations around the event position; lane interface display step: and generating an event thumbnail according to the time and the event type of the event data and displaying the event thumbnail on one discrete swimlane unit of the discrete swimlane, and generating a curve or a bar chart according to the time and the data magnitude of the meteorological data and displaying the curve or the bar chart on the meteorological station data real swimlane. The monitoring system flow and algorithm have better accuracy and timeliness for improving the meteorological disaster prevention and reduction capability, and provide better support for improving the disaster prevention and the energy capability.
Description
Technical Field
The invention belongs to the field of execution design of a user interface of electric digital processing, and particularly relates to a meteorological disaster prevention and reduction flow monitoring system and a monitoring method thereof.
Background
The national emergency early warning information release system (hereinafter referred to as the national early warning release system) is officially operated in the whole country on 5 months and 1 days in 2015, and realizes the horizontal and vertical uniform release of the multiple disaster early warning information. On the basis of the national early warning release system, each province actively promotes the intra-province early warning informatization construction, builds a provincial early warning release system and realizes application and supply as required. Due to the fact that multiple systems and multiple platforms are parallel, key information monitoring of early warning 'life' period is lost, meteorological disaster prevention and reduction monitoring 'talking about on paper', and the advantages of meteorological services cannot be reflected due to the fact that traditional paper recording modes and scattered informatization construction are achieved. The disaster prevention and reduction service flows of the basic-level weather of each province are independent, the intermediate media for vertical management and highlighting the service effect are lacked, a clear unified full-flow monitoring method is not provided, the effective association of the live condition, early warning, service and disaster public opinion cannot be made, and the early warning issuing effect and the weather guarantee service advantage cannot be reflected. Therefore, in order to comprehensively grasp the actual conditions of the meteorological disasters in the stages from occurrence, development to termination, early warning, service and disaster situation public opinion, the establishment of the meteorological disaster prevention and reduction full-flow monitoring is of great significance for expanding the meteorological disaster prevention and reduction technical service functions, improving the disaster prevention and reduction capability and realizing transparent management.
Disclosure of Invention
In order to solve the technical problem provided by the present invention, on one hand, the present invention provides a method for monitoring a weather disaster prevention and reduction process implemented by a computer, wherein the monitoring is performed based on at least a first user interface, the first user interface is a map monitoring interface, the method further includes monitoring based on a second user interface, and the method for monitoring by the second user interface includes:
lane receiving step: receiving meteorological data by using at least one meteorological station data live lane, and receiving event data by using at least one event data lane, wherein the meteorological data comprises temperature data, precipitation data and wind direction data, and the event data comprises disaster public opinion event data, service event data and early warning event data;
lane data processing step: analyzing the time, the event position and the event type of the event data, and analyzing the time and data quantity value in the meteorological data based on the meteorological stations around the event position;
lane interface display step: and generating an event thumbnail according to the time and the event type of the event data, and displaying the event thumbnail on one discrete swim lane unit of the discrete swim lane, and generating a curve or a bar chart according to the time and the data magnitude of the weather data, wherein the time of the weather data is an abscissa and the data magnitude is an ordinate.
In another aspect, the invention further provides a computer-implemented weather disaster prevention and reduction process monitoring system, which includes at least one data processor; and a memory storing instructions that, when executed by the at least one processor, perform the methods provided by the present invention.
The method has the advantages that a meteorological disaster prevention and reduction data standard specification and a shared transmission channel are established by creating a meteorological disaster prevention and reduction service full-flow monitoring system, each service flow monitoring algorithm is designed and realized, and the landscape and portrait display is carried out from two dimensions of time and space by means of a lane graph, so that basic meteorological disaster prevention and reduction work information and key nodes can be dynamically mastered, the basic meteorological disaster prevention and reduction services are prevented from being in conflict, a meteorological disaster prevention and reduction ecological chain is formed, the full-flow full-factor visual dynamic monitoring is realized, and the blank of the national meteorological disaster prevention and reduction service system is filled. Through practice, the monitoring system flow and the algorithm have better accuracy and timeliness for improving the meteorological disaster prevention and reduction capability, and provide better support for improving the disaster prevention and the stress capability.
Drawings
FIG. 1 is a schematic illustration of a first user interface and a second user interface;
FIG. 2 is a schematic view of a third user interface and a second user interface;
FIG. 3 is a diagram of a meteorological disaster prevention and reduction overall process monitoring.
Detailed Description
In some embodiments of the present invention, a method for monitoring a weather disaster prevention and reduction process implemented by a computer is, as shown in fig. 1, based on at least a first user interface, where the first user interface is a map monitoring interface, the method further includes monitoring based on a second user interface, and the method for monitoring by the second user interface includes:
lane receiving step: receiving meteorological data by using at least one meteorological station data live lane, and receiving event data by using at least one event data lane, wherein the meteorological data comprises temperature data, precipitation data and wind direction data, and the event data comprises disaster public opinion event data, service event data and early warning event data;
lane data processing step: analyzing the time, the event position and the event type of the event data, and analyzing the time and data quantity value in the meteorological data based on the meteorological stations around the event position;
lane interface display step: and generating an event thumbnail according to the time and the event type of the event data, and displaying the event thumbnail on one discrete swim lane unit of the discrete swim lane, and generating a curve or a bar chart according to the time and the data magnitude of the weather data, wherein the time of the weather data is an abscissa and the data magnitude is an ordinate.
In some embodiments, the weather data swimlane or the event data swimlane are located in different blocks, respectively.
In some embodiments, the time granularity of the discrete lanes includes scaling support for day, hour, ten minute, minute periods.
In some embodiments, the length of the plurality of time thumbnails located in the same discretized swimlane unit is inversely proportional to the number of thumbnails in the discretized swimlane unit.
In some embodiments, the time difference between two adjacent event data is smaller than the lane time period, and when the two adjacent event data belong to the same event, the thumbnails corresponding to the two discrete data are merged along the lane direction.
In some embodiments, the event data further includes a rating attribute associated with a background color of the procedure thumbnail; the background color of the thumbnail is attached with text information and a disaster type icon.
In some embodiments, the lanes are infinitely scaled in the direction of elongation.
In some specific embodiments, the data quantity value is a grade value obtained by a grading algorithm for the CISMISS data, the intersection relation between the meteorological site and the current early warning landing area is calculated through the landing area information of the early warning signal and the latitude and longitude of the meteorological site based on a geographic information geometric analysis algorithm, and the meteorological site quantity value around the current early warning event is obtained through statistics. For example: the levels include red, orange, yellow, and blue warnings.
In some embodiments, in the lane processing step, the processing method of the warning event data includes: according to the release rule of national and provincial meteorological disaster early warning signals, an early warning index library is established based on an owl language, basic data is subjected to statistical analysis according to index elements and time ranges of the early warning index library, elements and time dimensions related to the early warning indexes are obtained, the average value or statistical value of the elements in a past period is calculated, missing hourly data needing secondary statistics is subjected to hourly data accumulation or averaging, the current hourly data is compared with the early warning indexes, and meteorological site information meeting the early warning release standard is recorded; after the basic data is analyzed, a message is sent to a downstream index comparison program through a message middleware, and the index comparison program rapidly compares the index with the analysis data and stores the site information and the early warning information which accord with the early warning release standard into a database. And (4) the same type of early warning, and when one site meets the indexes of a plurality of early warning levels, only the highest early warning level of the site is recorded. For example: 54511 station accords with orange early warning, yellow early warning and blue early warning of high temperature early warning, and only 54511 station is stored as orange early warning.
In some embodiments, the event data swimlane comprises a multi-level pre-alarm sub-axis, and the swimlane interface displaying step comprises a pre-alarm event classification step of:
defining an early warning event;
highlighting the selected content according to the weather early warning information;
based on the time axis and the multi-stage early warning sub-axis, the area to which the early warning belongs is taken as the center through the correlation condition,
extracting administrative division codes through the early warning unique identifier, and coding rules of provinces, cities and counties according to the administrative division codes, for example: the only expression for a certain warning is: 63012341600000_20200603161545, wherein the corresponding administrative district code is 630123, the city level administrative district corresponding to the county level administrative district is 630100, the province level administrative district is 630000 according to the administrative district code coding rule, the upper and lower level related early warning information is screened out and displayed in a grading way, and the related conditions comprise release units, early warning types, early warning grades and release time.
In some embodiments, different color regions of the bar graph correspond to respective level values, and different color region heights are proportional to weather station magnitude values for the respective levels.
In some other embodiments of the present invention, the method for monitoring the first user interface includes:
a map receiving step: receiving early warning situation data and emergency data by using a three-dimensional map;
map data processing: acquiring the geographic position and the topographic feature of a current event and weather station information around the current event;
displaying a map interface: displaying the detailed information, the geographic position and the topographic features of the current event and the positions of the weather stations around the current event in the three-dimensional map.
In other specific embodiments, the map layer of the three-dimensional map comprises an emergency, an early warning situation, basic information, hidden points, a map layer and a region name, wherein the basic information comprises a disaster responsible person, an information member, early warning equipment, a school, a hospital, tourist attractions, flammable and explosive places and a mountain reservoir.
In still other embodiments of the present invention, referring to fig. 2, the monitoring is further performed based on a third user interface, and the method for monitoring by the third user interface includes:
an interface receiving step: receiving national early warning trumpet data, national weather display screen data, informant data and meteorological disaster prevention and reduction 'local account' data by using at least one block in an interface, wherein the meteorological disaster prevention and reduction 'local account' data is provincial uploading data;
and (3) data processing: obtaining updated data according to the time attribute of the data;
an interface display step: the update data is displayed in at least one of the blocks.
In some preferred embodiments of the present invention, the first user interface and the second user interface perform association monitoring, and the associating step includes:
the map receiving step and the lane receiving step are synchronized to receive data;
the lane data processing step and the map data processing step synchronously process the data;
the swim lane interface displaying step is displayed simultaneously with or separately from the map interface displaying step.
The following examples are provided to illustrate the present invention but should not be construed as limiting the scope of the invention.
Some embodiments of the present invention aim to provide a full-flow monitoring method for a disaster process, which compares live, early warning, service, and disaster public opinion from two dimensions of time and space based on a "lane diagram", so as to embody the advantages of weather disaster prevention and reduction, present service effects, and provide insight into defects and problems in advance, thereby achieving timely evasion and reasonable decision.
Based on the above object, the embodiment of the present invention provides a brand new meteorological disaster prevention and reduction full-process monitoring method, which mainly aims at: the dynamic meteorological service is a dynamic meteorological service in the whole process from occurrence, development to termination, wherein the dynamic meteorological service is a severe sudden event which has large influence and strong destructiveness on typhoon, rainstorm, snowstorm, cold tide, strong wind, sand storm, high temperature, drought, thunder, hail, frost, fog, haze, road icing and the like. The meteorological disaster prevention and reduction full-process monitoring method comprises the following steps:
1 weather disaster prevention and reduction flow monitoring
The meteorological disaster prevention and reduction is the first link and the first line of defense for national disaster prevention and reduction, the meteorological disaster prevention and reduction aims at the full-flow monitoring of serious emergency and early warning information caused by meteorological disasters, and the meteorological disaster prevention and reduction is divided into four axes of live, early warning, service and disaster public opinion through a lane graph, wherein the lane graph is used as a horizontal time axis, and the vertical direction is the scene, the early warning, the service and the disaster public opinion. And (3) according to national weather disaster prevention and reduction data format standard specifications, cleaning and sorting the basic level weather disaster prevention and reduction service data through a national weather disaster prevention and reduction data transmission shared channel. The following cleansing sequence is followed for each shared data file: the first step is as follows: and (4) preprocessing. Carrying out normative inspection, and filtering files and records which are not in the standard and cannot be further processed; the second step is that: and (6) data cleaning. According to the cleaning rule described below, dirty data (incomplete, error, etc.), abnormal data (repeated, overtime, inconsistent, etc.) records are automatically detected and filtered, and the missing spatial information attributes (longitude and latitude, administrative codes, addresses, etc.) are attempted to be automatically complemented; the third step: and (6) quality grading. Automatically generating a quality score based on previously identified problems; the fourth step: and correcting and updating. And the reference score informs a filling unit of the detected problems, and triggers a correction or updating program. And implementing the following cleaning rules according to the data quality management 'six elements':
1. data integrity. And identifying and solving the problems of incompleteness or lack of records and attributes. The recording integrity is to detect missing records and missing types by counting the spatial distribution and the type distribution of the shared data. The attribute integrity is that whether the value is null or not is checked according to the necessity or condition of fields in the national weather disaster prevention and reduction data format standard, and the null value is judged to adopt a text length and null value vocabulary;
2. and (4) normalization of data. The problems of naming specification, format specification, date and time specification, telephone number specification, precision specification and the like are identified and solved. The naming specification checks whether the file name meets the file naming rule, the format specification checks whether the file name meets the XML format, whether the key field exceeds the rules of a dictionary table, the date and time specification checks whether the file name meets the date and time format, the telephone number specification checks whether the telephone number is long enough and the mobile phone number is in compliance, and the precision specification checks whether the longitude and latitude and the administrative code are fine enough. The format specification inspection mainly adopts a regular expression method, and tries to correct key fields which do not conform to a dictionary table in a word vector clustering mode;
3. and (4) data consistency. The method is used for identifying and solving the consistent problems of space, early warning service, responsible persons, delivery sources and the like. The method comprises the steps of checking the space consistency whether longitude and latitude, administrative codes and addresses are matched or not and whether the administrative codes and the addresses point to the same ground source or not, checking the early warning service consistency whether equipment codes in early warning release facilities, release facility states and release feedback are matched or not, checking the consistency of responsible persons whether mobile phones of release mobile phones, responsible persons of monitoring points and responsible persons are matched or not, and checking the consistency of a reporting source whether a code of a filling unit is consistent with a filling data unit or not. The consistency check is mainly realized by a database index and a foreign key;
4. and (4) data accuracy. And identifying and solving the problems of errors such as early warning, precipitation threshold, administrative region codes, place names and the like. And checking whether the early warning ID meets the specification or not and whether the release feedback is early warning in effect or not according to an early warning service rule, wherein the rule adopts a regular expression, and the effect checking adopts a retrieval mode. And (3) counting the maximum precipitation amount (water level and soil) of nearly 10 years/hour in cities and counties in each place by adopting an abnormality detection mode based on statistics, and detecting the range distance and the quartile distance of the precipitation (water level and soil) threshold value to detect the threshold abnormality point. Making Chinese administrative region code dictionary and place name dictionary rules in nearly 30 years, and identifying wrong administrative codes and place names;
5. data uniqueness. Identifying and solving the problem of repeated recording, and identifying whether the data is repeated with the stored record according to the recording main key;
6. and (5) data timeliness. And identifying and solving the real-time data aging problem, establishing an overtime threshold value according to a transmission specification by adopting distance-based anomaly detection, and checking whether the data is overtime or abnormally interrupted.
The national meteorological disaster prevention and reduction data are effectively normalized through the cleaning sequence and the cleaning rule, the data quality is improved, the data are highly available, the data are enabled to live through the visualization technology, important links and key work of meteorological disaster prevention and reduction are better mastered, global deployment and decision support are made, and an emergency 'wartime' state is reasonably entered according to relevant emergency response commands. And collecting, associating and displaying meteorological disaster internet big data by using technologies such as a crawler technology, machine learning, natural language processing and the like.
(1) Incident event
The live axis selects the nearest meteorological observation station (automatic station) in the range according to the location of the emergency, and gives the air temperature, precipitation and wind direction; the early warning axis is divided into four minor axes of city and county of the national province, and displays the county-level early warning related to the type and the location of the emergency and the city-level, province-level and country-level early warning which the city-level, province-level and country-level early warning belong to upwards by taking the emergency as a main line; the service axis is divided into two levels of sub-axes of country, province, city and county, and comprises call response information (telephone call), decision service type information (two-office information, quick report and special report), consultation video connection, emergency starting command, important indication, important command and the like; the disaster public opinion axis is matched with the emergency, wherein the disaster comprises the initial disaster occurrence situation, the disaster situation, the derivative and secondary disasters, the specific disaster situation and the loss, the rescue situation and the like. Public sentiment includes the tendency of society and masses to events, the reverberation of early warning publications and other related content.
Combining a lane graph time line, adopting stepless zooming to perform early warning and comparing live situations and disaster situations, and giving timeliness of early warning release; compared with the early warning, the service highlights important links, important nodes and behavior actions within the early warning validity period; disaster public opinion and service comparison are carried out to reflect the forward and reverse information of the social public on the action of the government department in the emergency; and reasonable arrangement and control and reasonable prevention are achieved through live, early warning, service and disaster public opinion overview event lines.
(2) Early warning event
According to the province, city and county issuing units issued by early warning, the live axis is combined with the meteorological observation stations (automatic stations) reaching the red, orange, yellow and blue standard in the range of each province, provincial early warning presents all live stations reaching the red, orange, yellow and blue standard in the province, city early warning presents all live stations reaching the red, orange, yellow and blue standard in the city, and county early warning presents all live stations reaching the red, orange, yellow and blue standard in the county. Clicking a single site to enter a specific site to present a current relevant meteorological element value; the early warning axis takes provincial early warning as a main line and displays provincial early warning, all early warnings of city and county levels and all early warnings of country levels. And displaying the city-level early warning, all the downward county-level early warnings, the upward provincial-level early warning and the upward national-level early warning by taking the city-level early warning as a main line. Displaying the county-level early warning, the city-level early warning, the province-level early warning and the country-level early warning which belong to the county-level early warning; the service axis is divided into two levels of sub-axes of country, province, city and county, and comprises call response information (telephone call), decision service type information (two-office information, quick report and special report), consultation video connection, emergency starting command, important indication, important command and the like; the disaster public opinion axis is matched with the early warning type, wherein the disaster comprises the initial disaster occurrence situation, the disaster situation, the derivative and secondary disasters, the specific disaster situation and the loss, the rescue situation and the like. Public sentiment includes the tendency of society and masses to events, the reverberation of early warning publications, and other content.
Combining a lane graph time line, adopting stepless zooming, comparing early warning with a live situation, combining an early warning release standard, counting live situation information reaching an early warning release level in hours, and giving a related meteorological element value and early warning release timeliness; compared with the early warning, the service and the early warning highlight the important links, the important nodes and the behavior actions of the four levels of the counties and the provinces of China within the early warning validity period; disaster public opinion and service comparison are carried out, and forward and reverse information issued by social public to the early warning is reflected; through the period of live, early warning, service and disaster public opinion overview early warning and issuing, the early warning information lead index is perfected based on the meteorological disaster early warning signal quality inspection method, and the early warning issuing effect is controlled.
Through the transverse and longitudinal comparison of the meteorological disaster prevention and reduction full-flow data, the meteorological disaster prevention and reduction full-flow monitoring from disaster occurrence, development to completion is realized for the first time, and the blank of the full-flow monitoring in the national, provincial, municipal and county disaster prevention and reduction service system is made up. Compared with the actual situation and the disaster situation, the early warning release timeliness rate can be obtained; compared with the early warning, the service and the early warning can highlight important services, important links, behavior actions and response speed in the early warning period; and disaster public opinion and service comparison reflects the positive and negative attitude of the social public on the action of the government department in the emergency. The flow realizes the cross and longitudinal overview of the live, early warning, service and disaster public opinion, and achieves reasonable arrangement and control and reasonable prevention. The monitoring flow is shown in fig. 3.
2 meteorological disaster prevention and reduction monitoring method
(1) Live data extraction
According to a meteorological disaster early warning signal quality inspection method, an early warning index library is created by using an owl language, elements and time dimensions related to early warning indexes are obtained, missing hourly data needing secondary statistics are accumulated or averaged, the current hourly data are compared with the early warning indexes, and site information meeting early warning release standards (red, orange, yellow and blue) is recorded. And (4) the same type of early warning, and when one station accords with a plurality of early warning levels, only the highest level is recorded.
(2) Early warning event analogy
According to the meteorological disaster early warning signal quality inspection method, early warning events are defined. And highlighting the selected content according to the weather early warning information, and screening and displaying relevant early warning information of the upper level and the lower level by taking the area to which the early warning belongs as a center through relevant conditions such as a release unit, an early warning type, an early warning level and the like based on a time axis and a four-level early warning sub-axis in China, province, city, county and the like.
(3) Service data selection
The service axis is a core axis and is used for tracing important behaviors and important nodes from disaster occurrence, development to completion. By applying a natural language processing technology, disaster type information in service data is dynamically extracted, and by matching disaster type rules (for example, strong correlation between debris flow and early warnings such as rainstorm, strong convection and hail), service information of a disaster event and the early warning event is selected, and response behaviors such as work dynamics, emergency response, special plans, decision materials and important batch instructions are dynamically displayed respectively.
(4) Event public opinion acquisition
After a disaster occurs, disaster public opinion data related to the disaster are obtained on the internet by using a crawler technology according to the disaster type, the occurrence time and the place area, a disaster model is established by using machine learning and natural language processing technologies, data extraction and aggregation analysis are carried out, and the current disaster loss, rescue conditions and the reflection conditions of social public on the disaster event are given.
(5) Disaster process linkage
In order to realize the full-flow monitoring from the occurrence and development of meteorological disasters to the completion of the meteorological disasters, the real-time condition, early warning, service and disaster situation public sentiment are necessary, the meteorological element values of which the real-time monitoring accords with the early warning type are selected between the real-time condition and the early warning through the early warning type, and the early warning issuing time is compared with the monitoring station value time reaching the early warning issuing standard, so that the early warning issuing lead is reflected visually. The service uses early warning as a starting point, and reflects whether the effect of early warning release and the action in the service process are effective or not through disaster public opinion, wherein the early warning release effect and the action in the service process are reflected through critical actions and important actions which are carried out in the modes of video consultation, telephone outbound and the like in the emergency process when the national, province, city and county levels release higher-level early warning or serious meteorological disasters occur. Through four-axis cross-difference comparison, the whole flow of meteorological disaster prevention and reduction in the disaster process is visually reflected, the meteorological vertical supervision capacity is exerted, and the comprehensive strength of meteorological disaster prevention and reduction is improved.
3 realizing meteorological disaster prevention and reduction functions
By using a showing mode of stepless zooming of a lane graph, live situations, early warning, services and disaster situation public sentiments are classified and displayed item by item based on a time axis, key nodes and important links of a weather disaster prevention and reduction full chain from occurrence, development to completion of disasters are effectively concerned in two dimensions of time and space, and four-axis linkage is realized.
The lane graph has a stepless zooming function, the container of the disaster event lane graph is used, the grouping arrangement of early warning, service and disaster public opinion of each level of the lanes is realized through a user-defined template, and the zooming support for day, hour, ten-minute and minute time periods is added by using the user-defined time granularity, so that the time period distribution is more reasonable after the time axis is zoomed. After the data is updated, the data is clustered by categories, for example: counting the total number of the service information at the same time point, displaying the service information in a lane graph by using a window, expanding an accumulated service information list when clicking the window, clicking any one of the selected lists again, and checking specific service information so as to solve the problem of data stacking phenomenon caused by intensive distribution of the time point; the weather station data real lane and the event data lane use the same time axis, when the time granularity of the live lane graph changes, the event lane can be automatically adjusted to the same time granularity to ensure the consistency of the data display range, and the display effects of different time granularities are adjusted to a certain extent. For example: when the mouse is rolled in the live swim lane or the event data swim lane graph, the time granularity displayed by the live swim lane and the event data swim lane graph can be automatically zoomed at the same time, and the service information displayed in the swim lane graph can display the service information under the corresponding time granularity according to the zoom of the time granularity.
Implementations and functional operations of the subject matter described in this specification can be implemented in: digital electronic circuitry, tangibly embodied computer software or firmware, computer hardware, including the structures disclosed in this specification and their structural equivalents, or combinations of more than one of the foregoing.
Embodiments of the subject matter described in this specification can be implemented as one or more computer programs, i.e., one or more modules of computer program instructions encoded on one or more tangible, non-transitory program carriers, for execution by, or to control the operation of, data processing apparatus.
The software platform matched with the planned visualization system by combining the service requirements of the user comprises the following steps: the system comprises a visual rendering running platform, a three-dimensional rendering plug-in, a data service platform and a map service platform so as to support the construction of a visual system and the realization of system functions. The software architecture is as follows:
alternatively or in addition, the program instructions may be encoded on an artificially generated propagated signal, e.g., a machine-generated electrical, optical, or electromagnetic signal, that is generated to encode information for transmission to suitable receiver apparatus for execution with a data processing apparatus. The computer storage medium may be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of the foregoing.
The term "data processing apparatus" encompasses all kinds of apparatus, devices, and machines for processing data, including by way of example a programmable processor, a computer, or multiple processors or multiple computers. An apparatus can comprise special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application-specific integrated circuit). The apparatus can include, in addition to hardware, code that creates an execution environment for the associated computer program, e.g., code that constitutes processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more of them.
A computer program (which may also be referred to or described as a program, software application, module, software module, script, or code) can be written in any form of programming language, including compiled or interpreted languages, or declarative or procedural languages, and it can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment. A computer program may, but need not, correspond to a file in a file system. A program can be stored in a portion of a file that holds other programs or data, e.g., one or more scripts stored in: in a markup language document; in a single file dedicated to the relevant program; or in multiple coordinated files, such as files that store one or more modules, sub programs, or portions of code. A computer program can be deployed to be executed on one computer or on multiple computers that are located at one site or distributed across multiple sites and interconnected by a communication network.
The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application-specific integrated circuit).
Computers suitable for carrying out computer programs include, and illustratively may be based on, general purpose microprocessors, or special purpose microprocessors, or both, or any other kind of central processing unit. Typically, the central processing unit will receive instructions and data from a read-only memory or a random access memory or both. The essential elements of a computer are a central processing unit for executing or executing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto optical disks, or optical disks. However, a computer need not have such a device. Further, the computer may be embedded in another apparatus, e.g., a mobile telephone, a Personal Digital Assistant (PDA), a mobile audio or video player, a game console, a Global Positioning System (GPS) receiver, or a removable storage device, e.g., a Universal Serial Bus (USB) flash drive, or the like.
Computer readable media suitable for storing computer program instructions and data include all forms of non volatile memory, media and memory devices, including by way of example: semiconductor memory devices, such as EPROM, EEPROM, and flash memory devices; magnetic disks, e.g., internal hard disks or removable disks; magneto-optical disks; CD-ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.
Claims (16)
1. A computer-implemented method for monitoring a weather disaster prevention and reduction process is characterized in that the method is based on a second user interface, and the method for monitoring the second user interface comprises the following steps:
lane receiving step: receiving meteorological data by using at least one meteorological station data live lane, and receiving event data by using at least one event data lane, wherein the meteorological data comprises temperature data, precipitation data and wind direction data, and the event data comprises disaster public opinion event data, service event data and early warning event data;
lane data processing step: analyzing the time, the event position and the event type of the event data, and analyzing the time and data quantity value in the meteorological data based on the meteorological stations around the event position;
lane interface display step: and generating an event thumbnail according to the time and the event type of the event data, and displaying the event thumbnail on one discrete swim lane unit of the discrete swim lane, and generating a curve or a bar chart according to the time and the data magnitude of the weather data, wherein the time of the weather data is an abscissa and the data magnitude is an ordinate.
2. The method of claim 1, wherein the weather data lane or the event data lane are located in different blocks, respectively.
3. The method of claim 2, wherein the time granularity of the discrete lanes comprises scaling support for day, hour, ten minute, minute periods.
4. The method of claim 3, wherein the length of the plurality of time thumbnails located in the same discretized swimlane unit is inversely proportional to the number of thumbnails in the discretized swimlane unit.
5. The method of claim 3, wherein the time difference between two adjacent event data is smaller than the lane time period, and when the two adjacent event data belong to the same event, the thumbnails corresponding to the two discrete data are merged along the lane direction.
6. The method of claim 3, wherein the event data further includes a rating attribute, the rating attribute being associated with a background color of the procedure thumbnail; the background color of the thumbnail is attached with text information and a disaster type icon.
7. The method of claim 3, wherein the lanes are infinitely scaled in the direction of elongation.
8. The method of claim 3, wherein the data volume value pairs CIMISS data is obtained through a grading algorithm according to a grade value and through falling area information of an early warning signalCalculating the intersection relation between the meteorological station and the current early warning landing area based on a geographic information geometric analysis algorithm, and obtaining the meteorological station quantity value around the current early warning event through statistics; the levels include red, orange, blue, and yellow warnings.
9. The method of claim 1,
in the lane processing step, the processing method of the early warning event data comprises the following steps: creating an early warning index library, acquiring elements and time dimensions related to early warning indexes, accumulating or averaging missing hourly data needing secondary statistics, comparing the current hourly data with the early warning indexes, and recording site information meeting early warning release standards; and (4) the same type of early warning, and when one station accords with a plurality of early warning levels, only the highest level is recorded.
10. The method of claim 9, wherein the event data swimlane comprises a multi-level early warning sub-axis, the swimlane interface displaying step comprising an early warning event classification step of:
defining an early warning event;
highlighting the selected content according to the weather early warning information;
based on a time axis and a multi-stage early warning sub-axis, screening and displaying relevant early warning information of an upper stage and a lower stage by taking an area to which the early warning belongs as a center through association conditions, wherein the association conditions comprise a release unit, an early warning type, an early warning level and release time.
11. The method of claim 10, wherein different color regions of the bar graph correspond to respective level values, and different color region heights are proportional to the weather station magnitude value for the respective level.
12. The method of claim 1, wherein the third user interface monitoring method comprises:
a map receiving step: receiving early warning situation data and emergency data by using a three-dimensional map;
map data processing: acquiring the geographic position and the topographic feature of a current event and weather station information around the current event;
displaying a map interface: displaying the detailed information, the geographic position and the topographic features of the current event and the positions of the weather stations around the current event in the three-dimensional map.
13. The method of claim 11, wherein the layer of the three-dimensional map comprises an emergency, an early warning situation, basic information, a hidden point, a map layer, and a region name, wherein the basic information comprises a disaster responsible person, an information member, an early warning device, a school, a hospital, a tourist attraction, a flammable and combustible place, and a mountain reservoir.
14. The method of claim 12, wherein monitoring is further based on a third user interface, the method of monitoring by the third user interface comprising:
an interface receiving step: receiving national early warning trumpet data, national weather display screen data, informant data and meteorological disaster prevention and reduction 'local account' data by using at least one block in an interface, wherein the meteorological disaster prevention and reduction 'local account' data is provincial uploading data;
and (3) data processing: obtaining updated data according to the time attribute of the data;
an interface display step: the update data is displayed in at least one of the blocks.
15. The method of claim 1, wherein the first user interface and the second user interface are monitored in association, the associating step comprising:
the map receiving step and the lane receiving step are synchronized to receive data;
the lane data processing step and the map data processing step synchronously process the data;
the swim lane interface displaying step is displayed simultaneously with or separately from the map interface displaying step.
16. A computer-implemented weather disaster prevention and reduction flow monitoring system is characterized in that,
the system comprises at least one data processor; and
a memory storing instructions that, when executed by the at least one processor, perform the method according to any one of claims 1-15.
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