CN115223336A - Disaster early warning analysis system and method based on location service - Google Patents
Disaster early warning analysis system and method based on location service Download PDFInfo
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Abstract
The invention particularly relates to a disaster early warning analysis method based on location service, which comprises the following steps: acquiring disaster early warning information in real time; acquiring the distribution condition of facilities on a geographic information system in real time; judging whether facilities concerned exist in the range of the disaster early warning information according to the disaster early warning information and the distribution condition of the facilities on the geographic information system; according to the type and degree of the disaster early warning information and in combination with the potential safety hazard information of the facilities in the safety production system, judging the level of potential risk hazards possibly caused by the facilities in the range of the disaster early warning information; and generating risk potential warning information of the facilities in the disaster warning information range according to the warning grade and duration of the disaster warning information and the judgment result of the previous step, and releasing the risk potential warning information to the facilities in the longitude and latitude range of the disaster warning information. The disaster early warning analysis method provided by the invention effectively improves the management and control level of enterprises on potential safety hazards, reduces influence and ensures safety.
Description
Technical Field
The invention relates to the technical field of disaster early warning, in particular to a disaster early warning analysis system and method based on location service.
Background
With the development of scientific technology, disaster early warning plays an increasingly important role in the production and life of people, and with the continuous innovation of a large number of construction and detection means of various national observation stations, the disaster early warning becomes more and more accurate and can be traced, for example, weather early warning, a weather bureau standardizes identification, release flows and response measures for different types and degrees of severity of weather disasters, and weather disaster early warning information generally comprises cities, regions, types, grades, states, release time, update time and early warning texts; earthquake early warning, with present scientific technology, still difficult accurate prediction is given to earthquake early warning, but after the earthquake takes place, the earthquake causes the destruction of different degree to infrastructure, and it is very necessary that the enterprise carries out the inspection of safety risk hidden danger.
At present, the disaster early warning method is mainly combined with a geographic information system, the position information of all concerned infrastructures is shown on the geographic information system, and the method can be classified according to different icons, and simultaneously seismic data and meteorological data, including forecast data, real-time data and the like, are applied in a set mode, and the method mainly comprises the following aspects: (1) Showing the natural environment conditions of the enterprise, such as what important production elements exist in a certain area, and how the current or historical natural environment of the enterprise is; (2) According to historical meteorological conditions, the influence on the production element when the current meteorological conditions reach a certain level and what kind of plan are prepared can be judged, the potential risk caused by investigation can be eliminated, and the weather can be prevented; (3) The management department of an enterprise can utilize the early warning information to inform the subordinate department in advance to prepare for prevention, so that loss is avoided or reduced.
With the coming of the intelligent era, enterprises need to make full use of public meteorological environment data of facilities, realize the development and change of the hidden danger of the facilities accurately and timely, and better monitor risks and handle the hidden danger.
Disclosure of Invention
Therefore, it is necessary to provide a disaster early warning analysis system and method based on location-based service to comprehensively analyze whether potential safety hazards exist in facilities under different meteorological conditions and whether the potential development and deterioration exist, and to issue hidden danger early warning through the system, so that the management and control level of enterprises on the potential safety hazards is effectively improved, influences are reduced, and safety is guaranteed.
In order to achieve the above purpose, the invention provides the following technical scheme:
a disaster early warning analysis method based on location service comprises the following steps:
s1, acquiring disaster early warning information in real time;
s2, acquiring the distribution situation of facilities on a geographic information system in real time;
s3, judging whether the concerned facilities exist in the range of the disaster early warning information according to the disaster early warning information and the distribution condition of the facilities on the geographic information system;
s4, judging the potential risk level possibly caused by the facilities in the range of the disaster early warning information according to the type and the degree of the disaster early warning information and by combining the potential safety hazard information of the facilities in the safety production system;
and S5, according to the early warning grade and the duration of the disaster early warning information and the judgment result of the step 4, generating the risk potential warning information of the facilities within the range of the disaster early warning information and issuing the risk potential warning information to the facilities within the latitude and longitude range of the disaster early warning information.
Further, the disaster early warning information is obtained in step S1 by actively pushing with a professional organization ordering the service or by acquiring data from a public network, and the disaster early warning information includes a latitude and longitude range, an early warning level, and a duration of the disaster early warning information.
Further, the step S2 specifically includes the following steps:
s21, a maintainer of basic information of the system inputs basic information of facilities in the system;
s22, communicating a data interface with the public network map, and automatically acquiring the basic information of the updated facilities on the public network map;
the infrastructure information of the facility includes latitude and longitude data of the facility.
Further, the step S3 specifically includes the following steps:
s31, displaying the position and the range of the disaster on a map according to the latitude and longitude range of the disaster early warning information acquired in real time;
s32, acquiring longitude and latitude data of the facility in the step S2;
and S33, comparing the longitude and latitude data of the facilities in the step S2 with the longitude and latitude range of the disaster early warning information in the step S31, and judging whether the facilities are in the longitude and latitude range of the disaster early warning information in the step S31 one by one.
Further, in step 4, according to the type and degree of the disaster early warning information, and in combination with the potential safety hazard information of the facility in the safety production system, whether each facility in the latitude and longitude range of the disaster early warning information has the possibility of aggravating the potential risk is judged; the judgment standard is one or more of a visual experience method, a basic analysis method, a work safety analysis method, a safety check table and a safety standardization method.
Further, the step S4 specifically includes the following steps:
s41, acquiring the potential safety hazard information of each facility within the latitude and longitude range of the disaster early warning information one by one according to the judgment result in the step S33; carrying out disaster early warning analysis on the potential risks possibly caused by each facility in the latitude and longitude range of the disaster early warning information, and further judging whether each facility in the latitude and longitude range of the disaster early warning information has the possibility of aggravating the potential risks;
step S42, generating risk potential warning information of each facility within the latitude and longitude range of the disaster warning information according to the warning grade and duration of the disaster warning information and the judgment result in the step S41; the risk potential warning information comprises four types of effective warning information, degradation warning information, upgrade warning information and cancellation warning information.
Further, in step 5, a risk potential warning is sent to facilities within the disaster warning range in one or more of the following manners:
s51, the method is carried out in a short message, mail or office OA mode;
s52, communicating with an interface of a communication object, automatically assembling alarm information, and automatically sending by a system;
s53, receiving the message receipt sent by the opposite side;
the incoming and outgoing messages are stored in the system for later reference S54.
The invention also provides a disaster early warning analysis system based on the location service, which comprises a first acquisition module, a second acquisition module, a first judgment module, a second judgment module and a release module;
the first acquisition module is used for acquiring disaster early warning information in real time and sending the disaster early warning information to the first judgment module and the release module;
the second acquisition module is used for acquiring the distribution condition of facilities on the geographic information system in real time and sending the distribution condition to the first judgment module;
the first judging module is used for receiving the disaster early warning information sent by the first acquiring module and the distribution condition of the facilities sent by the second acquiring module on the geographic information system, judging whether concerned facilities exist in the range of the disaster early warning information, obtaining a first judging result and sending the first judging result to the second judging module;
the second judging module is used for receiving the first judging result sent by the first judging module, judging whether facilities in the disaster early warning information range have the possibility of aggravating the risk hidden danger or not, obtaining a second judging result and sending the second judging result to the releasing module;
the release module is used for receiving the disaster early warning information sent by the first acquisition module and the second judgment result sent by the second judgment module, generating the risk potential warning information of the facilities within the disaster early warning information range and releasing the risk potential warning information to the facilities within the latitude and longitude range of the disaster early warning information.
Further, the first obtaining module obtains the disaster warning information by one or a combination of two of the following methods: the first mode is as follows: the first acquisition module is in communication connection with the national authority early warning system and receives disaster early warning information actively pushed by the national authority early warning system in real time; the second mode is as follows: the first acquisition module is in communication connection with a public network and acquires disaster early warning information from the public network in real time; the disaster early warning information comprises newly added early warning information, eliminated early warning information and changed early warning information; the disaster early warning information comprises longitude and latitude ranges, early warning grades and duration time of the disaster early warning information.
Further, the second obtaining module is used for a user to input basic information of the facility and automatically obtain the basic information of the facility updated on the public network map; the basic information of the facility comprises longitude and latitude data of the facility; and the second acquisition module automatically acquires the basic information of the updated facilities on the public network map through a data interface communicated with the public network map.
Further, the first judging module receives disaster early warning information sent by the first obtaining module and longitude and latitude data of facilities sent by the second obtaining module in real time; displaying the position and the range of the disaster on a map according to the latitude and longitude range of the disaster early warning information; and comparing the longitude and latitude data of the facilities with the longitude and latitude range of the disaster early warning information, judging whether the facilities are in the longitude and latitude range of the disaster early warning information one by one to obtain a first judgment result, and sending the first judgment result to a second judgment module.
Further, the second judging module receives the first judging result sent by the first judging module in real time, and judges the potential safety hazard information of each facility within the latitude and longitude range of the disaster early warning information one by one; and carrying out disaster early warning analysis on the potential risks possibly caused by each facility in the latitude and longitude range of the disaster early warning information, further judging whether each facility in the latitude and longitude range of the disaster early warning information has the possibility of aggravating the potential risks, obtaining a second judgment result and sending the second judgment result to the release module.
Further, the release module is configured to receive the disaster early warning information sent by the first obtaining module and a second judgment result sent by the second judging module; according to the early warning grade and the duration of the disaster early warning information and the second judgment result, risk potential warning information of each facility in the latitude and longitude range of the disaster early warning information is generated and issued to each facility in the latitude and longitude range of the disaster early warning information; the risk potential warning information comprises four types of effective warning information, degradation warning information, upgrade warning information and cancellation warning information.
Further, the issuing module issues the risk potential warning information to the facilities within the latitude and longitude range of the disaster warning information in one or more of the following manners:
mode 1: through short message, mail or office OA mode;
mode 2: the risk and hidden danger early warning information is automatically assembled by opening an interface with a communication object, and the system automatically sends the information;
mode 3: receiving the message receipt sent by the opposite side;
mode 4: messages to and from are stored in the system for later review.
The invention has the beneficial technical effects that:
the disaster early warning analysis system and method based on the location service are based on the location service matching technology and the hidden danger analysis method, matching research is carried out on the location, type and degree of real-time disaster early warning, the location and the hidden danger of the facilities, accurate early warning of the facilities is realized, the instantaneity and effectiveness of preparation measures taken by the facilities under the condition of disaster occurrence can be effectively improved, and the thought and means of processing are improved and enhanced.
Drawings
FIG. 1 is a flowchart of a disaster early warning analysis method based on location based services according to the present invention;
fig. 2 is a schematic structural diagram of a disaster warning analysis system based on location-based service according to the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and the detailed description.
Referring to fig. 1, the present invention provides a disaster early warning analysis method based on location-based services, including the following steps:
s1, acquiring disaster early warning information in real time;
s2, acquiring the distribution situation of facilities on a geographic information system in real time;
s3, judging whether concerned facilities exist in the range of the disaster early warning information according to the disaster early warning information and the distribution condition of the facilities on the geographic information system;
s4, judging the potential risk level possibly caused by the facilities in the range of the disaster early warning information according to the type and the degree of the disaster early warning information and by combining the potential safety hazard information of the facilities in the safety production system;
and S5, generating risk potential warning information of the facilities within the disaster warning information range according to the warning grade and duration of the disaster warning information and the judgment result of the step 4, and issuing the risk potential warning information to the facilities within the longitude and latitude range of the disaster warning information.
Further, in the step S1, the types of the disaster early warning information include weather disaster early warning information such as thunder, strong wind, hail, cold tide, drought and earthquake disaster information; each disaster early warning information comprises longitude and latitude range, early warning grade and duration of the disaster early warning information.
Examples of disaster warning information are as follows: XXX weather station 20XX X month X day X distributes rainstorm orange early warning signal: 53.7 mm rainfall appears in XXX in the past 1 hour, 10-30 mm local 50 mm rainfall is still existed in XX in the future 3 hours and in rural towns in the middle and north, along with thunder and short-term strong wind, and the geological disaster of mountain torrents has large weather risk and please take precautions.
Further, in step S1, the disaster warning information may be obtained by subscribing to a professional organization, and actively pushing data by the professional organization, for example, actively pushing by an early warning system of a national authority department such as a chinese meteorological data network and a chinese seismic grid; data acquisition can also be carried out through a data interface which is open from the Internet, for example, public data which is externally issued by a China meteorological data network and a China seismic platform network are acquired through a public network; compared with the prior art, the method for signing professional services has more guaranteed safety, stability and real-time performance.
Further, the step S2 specifically includes the following steps:
s21, a maintainer of system basic information inputs basic information of the facility in the system;
s22, communicating a data interface with the public network map, and automatically acquiring the basic information of the updated facilities on the public network map;
the infrastructure information of the facility includes latitude and longitude data of the facility.
Further, the step S3 specifically includes the following steps:
s31, displaying the position and the range of the disaster on a map according to the latitude and longitude range of the disaster early warning information acquired in real time;
s32, acquiring longitude and latitude data of the facility in the step S2;
and S33, comparing the longitude and latitude data of the facilities in the step S2 with the longitude and latitude range of the disaster early warning information in the step S31, and judging whether the facilities are in the longitude and latitude range of the disaster early warning information in the step S31 one by one.
The disaster warning information generally takes a specific administrative area as a basis of a geographical location, and this embodiment directly determines whether the administrative area includes a facility of interest according to the administrative area mentioned in the disaster warning information.
Further, in step S4, according to the type and degree of the disaster early warning information, and in combination with the potential safety hazard information of the facility in the safety production system, performing disaster early warning analysis on potential risk hazards that may be caused by each facility within the latitude and longitude range of the disaster early warning information, and determining potential risk that may be caused by the facility within the range of the disaster early warning information; the judgment standard is one or more of a visual experience method, a basic analysis method, a work safety analysis method, a safety check table and a safety standardization method; the potential safety hazard information comprises a potential safety hazard item, a name of a safety area, content of a potential safety hazard entry, a name of a potential safety hazard category, a time limit for rectification and whether rectification and rectification are performed or not.
Further, the step S4 specifically includes the following steps:
s41, acquiring the potential safety hazard information of each facility within the latitude and longitude range of the disaster early warning information one by one according to the judgment result of the step S33; carrying out disaster early warning analysis on the potential risk hazards possibly caused by each facility in the latitude and longitude range of the disaster early warning information, wherein the potential risk hazards include whether the potential safety hazard information of each facility and the disaster early warning information have a mutual influence relationship, and whether the influence is positive or negative; further judging whether each facility in the latitude and longitude range of the disaster early warning information has the possibility of aggravating the risk potential danger;
and S42, generating risk potential warning information of each facility within the latitude and longitude range of the disaster warning information according to the warning level and duration of the disaster warning information and the judgment result in S41, wherein for example, a piece of potential data exists in the potential safety hazard information of the facility, a protective cover or a fence is not arranged at a precipitation wellhead, and when strong precipitation weather such as orange or red warning heavy rain, heavy snow and the like occurs, the level of the potential risk is increased, and the possibility of deterioration exists, corresponding potential warning information is generated. The relation judgment standard of the two is established and extracted based on expert experience and related field knowledge; the risk potential warning information comprises four types of effective warning information, degradation warning information, upgrade warning information and cancellation warning information.
Further, in step 5, a risk potential warning is sent to facilities within the disaster warning range in one or more of the following manners:
s51, the method is carried out in a short message, mail or office OA mode;
s52, communicating through an interface of a communication object, automatically assembling alarm information, and automatically sending by a system;
s53, receiving the message receipt sent by the opposite side;
the incoming and outgoing messages are stored in the system for later reference S54.
Referring to fig. 2, the present invention further provides a disaster early warning analysis system based on location-based service, including a first obtaining module, a second obtaining module, a first judging module, a second judging module, and a publishing module;
the first acquisition module is used for acquiring disaster early warning information in real time and sending the disaster early warning information to the first judgment module and the release module;
the second acquisition module is used for acquiring the distribution condition of facilities on the geographic information system in real time and sending the distribution condition to the first judgment module;
the first judging module is used for receiving the disaster early warning information sent by the first acquiring module and the distribution condition of the facilities sent by the second acquiring module on the geographic information system, judging whether the facilities concerned exist in the range of the disaster early warning information, obtaining a first judging result and sending the first judging result to the second judging module;
the second judgment module is used for receiving the first judgment result sent by the first judgment module, judging whether facilities in the disaster early warning information range have the possibility of aggravating the risk hidden danger or not, obtaining a second judgment result and sending the second judgment result to the release module;
the release module is used for receiving the disaster early warning information sent by the first acquisition module and the second judgment result sent by the second judgment module, generating the risk potential warning information of the facilities within the disaster early warning information range and releasing the risk potential warning information to the facilities within the latitude and longitude range of the disaster early warning information.
Further, the first obtaining module obtains the disaster warning information by one or a combination of two of the following methods: the first mode is as follows: the first acquisition module is in communication connection with a professional organization ordering service and receives disaster early warning information actively pushed by the professional organization in real time; the second mode is as follows: the first acquisition module is in communication connection with a public network and acquires disaster early warning information from the public network in real time; the disaster early warning information comprises longitude and latitude ranges, early warning grades and duration of the disaster early warning information.
Further, the second obtaining module is used for a user to input basic information of the facility and automatically obtain the basic information of the facility updated on the public network map; the basic information of the facility comprises longitude and latitude data of the facility; and the second acquisition module automatically acquires the basic information of the updated facilities on the public network map by communicating a data interface with the public network map.
Further, the first judging module receives disaster early warning information sent by the first acquiring module and longitude and latitude data of facilities sent by the second acquiring module in real time; displaying the position and the range of the disaster on a map according to the latitude and longitude range of the disaster early warning information; and comparing the longitude and latitude data of the facilities with the longitude and latitude range of the disaster early warning information, judging whether the facilities are in the longitude and latitude range of the disaster early warning information one by one to obtain a first judgment result, and sending the first judgment result to a second judgment module.
Further, the second judging module receives the first judging result sent by the first judging module in real time, and acquires the potential safety hazard information of each facility within the latitude and longitude range of the disaster early warning information one by one; and carrying out disaster early warning analysis on the risk potential hazards possibly caused by each facility in the latitude and longitude range of the disaster early warning information, further judging whether each facility in the latitude and longitude range of the disaster early warning information has the possibility of aggravating the risk potential hazards, obtaining a second judgment result and sending the second judgment result to the issuing module.
Further, the release module is configured to receive the disaster early warning information sent by the first obtaining module and a second judgment result sent by the second judging module; according to the early warning grade and the duration of the disaster early warning information and the second judgment result, risk potential warning information of each facility in the latitude and longitude range of the disaster early warning information is generated and issued to each facility in the latitude and longitude range of the disaster early warning information; the risk potential warning information comprises four types of effective warning information, degradation warning information, upgrade warning information and cancellation warning information.
For example, there is a hidden danger data in the potential safety hazard information of the facility in the latitude and longitude range of the disaster early warning information, and the precipitation wellhead is not provided with a protective cover or a fence, so that when strong precipitation weather such as orange or red early warning heavy rain, heavy snow and the like is encountered, the level of the hidden danger is increased, and the possibility of deterioration exists, and then corresponding risk hidden danger early warning information is generated. The relation judgment standard of the two is established and extracted based on expert experience and related field knowledge.
Further, the issuing module issues the risk potential warning information to the facilities within the latitude and longitude range of the disaster warning information in one or more of the following manners:
mode 1: through short message, mail or office OA mode;
mode 2: the risk potential warning information is automatically assembled through the communication object interface, and the system automatically sends the risk potential warning information;
mode 3: receiving the message receipt sent by the opposite side;
mode 4: messages to and from are stored in the system for later review.
Example 1
The disaster early warning analysis system based on the location service is used for carrying out disaster early warning analysis based on the location service, and comprises the following steps:
s1: the first acquisition module acquires disaster early warning information in real time and sends a first judgment module and a release module;
s2: the second acquisition module acquires the distribution condition of the facility on the geographic information system in real time and sends the distribution condition to the first judgment module;
s3: the first judgment module receives the disaster early warning information sent by the first acquisition module and the distribution condition of the facilities sent by the second acquisition module on the geographic information system, judges whether the facilities concerned exist in the range of the disaster early warning information, obtains a first judgment result and sends the first judgment result to the second judgment module;
s4: the second judgment module receives the first judgment result sent by the first judgment module, judges whether facilities in the disaster early warning information range have the possibility of aggravating the risk hidden danger or not, obtains a second judgment result and sends the second judgment result to the release module;
and S5, the release module receives the disaster early warning information sent by the first acquisition module and a second judgment result sent by the second judgment module, generates risk potential warning information of the facilities within the disaster early warning information range, and releases the risk potential warning information to the facilities within the longitude and latitude range of the disaster early warning information.
In step S1, the disaster warning information types include earthquake disaster warning information and weather disaster warning information; the disaster early warning information can be acquired by ordering service with professional institutions, and the professional institutions actively push data; public data externally issued by a meteorological office and a seismic platform network can be acquired through a public network, and compared with the public data, a professional service mode is signed, so that the safety, the stability and the real-time performance are guaranteed.
The format of the meteorological disaster early warning information is as follows: [ XX City/county big fog yellow early warning ] A10-day-9 prefecture meteorological office distributes big fog yellow early warning signals: the situation that fog with visibility less than 500 meters appears in the sea level above 600 meters in my county and in the valley region of the plateau dam from 4 months 17 days 9 to 4 months 18 days 14 is expected, and all parts are asked to take care of preventing the possible influence of the heavy fog weather. The format of the seismic information is: magnitude, origin time, latitude, longitude, depth (kilometer), reference position.
In this embodiment, the disaster warning information is weather disaster warning information acquired by a weather system.
After disaster early warning information is acquired, whether a concerned facility exists in an area where the disaster early warning information is located needs to be judged, whether the facility has hidden danger or not needs to be inquired, the grade of final early warning is judged, whether the corresponding disaster early warning corresponds to hidden danger early warning of the facility or not is judged, if the early warning changes, whether the corresponding original early warning corresponds to potential safety hazard early warning or not needs to be judged, and the grade and type of the early warning are judged again.
In step S2, the system acquires the distribution of the facilities in the geographic information system in real time, and the maintainer of the basic information of the system inputs basic information such as longitude and latitude of the facilities in the system, and according to the longitude and latitude information, the positions of the facilities can be displayed on a map, and according to the types of the facilities, different icons are used for displaying.
And S3, judging whether disaster early warning exists in the disaster area or not on the basis of acquiring the disaster early warning information and the facility basic information. The facilities mainly exist in the form of points on the map, the early warning information is in the range of the early warning area, for example, earthquake information can be enclosed in the area with the radius of hundreds of kilometers of a square circle according to a geographic information system, the weather early warning is divided according to administrative areas, and the information of all facilities in the range can be calculated based on the information.
In step S4, according to the type and degree of disaster early warning information, the weather disaster early warning analysis is carried out by combining the potential safety hazard information of the facility in the safety production system, potential risk hazards which may be caused are analyzed, and the judgment standard is an intuitive experience method, a basic analysis method, a work safety analysis method, a safety check table, a safety standardization method and the like; according to the step S3, the facility influenced by the disaster early warning can be known, the facility generates information such as risks and hidden dangers through measures such as safety inspection, whether the disaster influences the risks and the hidden dangers or not is judged, and whether the influence is positive or negative needs to be evaluated.
S5, issuing the risk potential warning information, wherein the issuing function channel of the risk potential warning information has multiple options, and the risk potential warning information is sent in short messages, mails, office OA and other modes; the alarm information is automatically assembled by opening an interface with a communication object, and the system automatically sends the alarm information; receiving the message receipt sent by the opposite side; messages to and from are stored in the system for later review.
In conclusion, through the above five steps, the steps of judging, associating, issuing and the like of disaster early warning based on location service are completed. The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention.
It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (14)
1. A disaster early warning analysis method based on location service is characterized by comprising the following steps:
s1, acquiring disaster early warning information in real time;
s2, acquiring the distribution situation of facilities on a geographic information system in real time;
s3, judging whether concerned facilities exist in the range of the disaster early warning information according to the disaster early warning information and the distribution condition of the facilities on the geographic information system;
s4, judging the potential risk level possibly caused by the facilities within the range of the disaster early warning information according to the type and the degree of the disaster early warning information and by combining the potential safety hazard information of the facilities in the safety production system;
and S5, generating risk potential warning information of the facilities within the disaster warning information range according to the warning grade and duration of the disaster warning information and the judgment result of the step 4, and issuing the risk potential warning information to the facilities within the longitude and latitude range of the disaster warning information.
2. The disaster early warning analysis method based on location based service of claim 1, wherein the disaster early warning information is obtained in step S1 by actively pushing with a professional organization subscribed to the service or collecting data from a public network, and the disaster early warning information comprises latitude and longitude range of the disaster early warning information, early warning level, and duration.
3. The disaster early warning analysis method based on location-based service according to claim 1, wherein the step S2 specifically comprises the following steps:
s21, a maintainer of system basic information inputs basic information of the facility in the system;
s22, communicating a data interface with the public network map, and automatically acquiring the basic information of the updated facilities on the public network map;
the infrastructure information of the facility includes latitude and longitude data of the facility.
4. The disaster early warning analysis method based on location based service as claimed in claim 1, wherein the step S3 comprises the following steps:
s31, displaying the position and the range of the disaster on a map according to the latitude and longitude range of the disaster early warning information acquired in real time;
s32, acquiring longitude and latitude data of the facility in the step S2;
and S33, judging whether the facilities are in the latitude and longitude range of the disaster early warning information in the step S31 one by comparing the latitude and longitude data of the facilities in the step S2 with the latitude and longitude range of the disaster early warning information in the step S31.
5. The disaster early warning analysis method based on location-based service as claimed in claim 1, wherein in step 4, according to the type and degree of the disaster early warning information, and in combination with the safety hazard information of the facility in the safety production system, it is determined whether each facility within the latitude and longitude range of the disaster early warning information has the possibility of aggravating the risk hazard; the judgment standard is one or more of visual experience method, basic analysis method, work safety analysis method, safety check table and safety standardization method.
6. The disaster early warning analysis method based on location-based service according to claim 5, wherein the step S4 specifically comprises the following steps:
s41, acquiring the potential safety hazard information of each facility within the latitude and longitude range of the disaster early warning information one by one according to the judgment result of the step S33; carrying out disaster early warning analysis on the potential risks possibly caused by each facility in the latitude and longitude range of the disaster early warning information, and further judging whether each facility in the latitude and longitude range of the disaster early warning information has the possibility of aggravating the potential risks;
step S42, generating risk potential warning information of each facility within the latitude and longitude range of the disaster warning information according to the warning grade and duration of the disaster warning information and the judgment result in the step S41; the risk potential warning information comprises four types of effective warning information, degradation warning information, upgrade warning information and cancellation warning information.
7. The disaster early warning analysis method based on location based services as claimed in claim 1, wherein in step 5, the risk potential early warning is sent to the facilities within the disaster early warning range by one or more of the following modes:
s51, the method is carried out in a short message, mail or office OA mode;
s52, communicating with an interface of a communication object, automatically assembling alarm information, and automatically sending by a system;
s53, receiving the message receipt sent by the opposite side;
the incoming and outgoing messages are stored in the system for later reference S54.
8. The disaster early warning analysis system of the disaster early warning analysis method based on the location-based service according to any one of claims 1 to 7, comprising a first obtaining module, a second obtaining module, a first judging module, a second judging module and a publishing module;
the first acquisition module is used for acquiring disaster early warning information in real time and sending the disaster early warning information to the first judgment module and the release module;
the second acquisition module is used for acquiring the distribution condition of facilities on the geographic information system in real time and sending the distribution condition to the first judgment module;
the first judging module is used for receiving the disaster early warning information sent by the first acquiring module and the distribution condition of the facilities sent by the second acquiring module on the geographic information system, judging whether concerned facilities exist in the range of the disaster early warning information, obtaining a first judging result and sending the first judging result to the second judging module;
the second judging module is used for receiving the first judging result sent by the first judging module, judging whether facilities in the disaster early warning information range have the possibility of aggravating the risk hidden danger or not, obtaining a second judging result and sending the second judging result to the releasing module;
the release module is used for receiving the disaster early warning information sent by the first acquisition module and the second judgment result sent by the second judgment module, generating the risk potential warning information of the facilities within the disaster early warning information range and releasing the risk potential warning information to the facilities within the longitude and latitude range of the disaster early warning information.
9. The disaster early warning analysis system of claim 8, wherein the first obtaining module obtains disaster early warning information by one or a combination of two of the following methods: the first mode is as follows: the first acquisition module is in communication connection with the national authority early warning system and receives disaster early warning information actively pushed by the national authority early warning system in real time; the second mode is as follows: the first acquisition module is in communication connection with a public network and acquires disaster early warning information from the public network in real time; the disaster early warning information comprises newly added early warning information, eliminated early warning information and changed early warning information; the disaster early warning information comprises longitude and latitude ranges, early warning grades and duration time of the disaster early warning information.
10. The disaster early warning analysis system according to claim 8, wherein the second obtaining module is configured to enter basic information of a facility by a user and automatically obtain basic information of the facility updated on a public network map; the basic information of the facility comprises longitude and latitude data of the facility; and the second acquisition module automatically acquires the basic information of the updated facilities on the public network map by communicating a data interface with the public network map.
11. The disaster early warning analysis system according to claim 8, wherein the first judgment module receives disaster early warning information sent by the first acquisition module and longitude and latitude data of the facility sent by the second acquisition module in real time; displaying the position and range of the disaster on a map according to the latitude and longitude range of the disaster early warning information; and comparing the longitude and latitude data of the facilities with the longitude and latitude range of the disaster early warning information, judging whether the facilities are in the longitude and latitude range of the disaster early warning information one by one to obtain a first judgment result, and sending the first judgment result to a second judgment module.
12. The disaster early warning analysis system according to claim 8, wherein the second determination module receives the first determination result sent by the first determination module in real time, and determines the safety hazard information of each facility one by one within a latitude and longitude range of the disaster early warning information; and carrying out disaster early warning analysis on the risk potential hazards possibly caused by each facility in the latitude and longitude range of the disaster early warning information, further judging whether each facility in the latitude and longitude range of the disaster early warning information has the possibility of aggravating the risk potential hazards, obtaining a second judgment result and sending the second judgment result to the issuing module.
13. The disaster early warning analysis system according to claim 8, wherein the issuing module is configured to receive disaster early warning information sent by the first obtaining module and a second judgment result sent by the second judging module; according to the early warning grade and the duration of the disaster early warning information and the second judgment result, risk potential warning information of each facility in the latitude and longitude range of the disaster early warning information is generated and issued to each facility in the latitude and longitude range of the disaster early warning information; the risk potential warning information comprises four types of effective warning information, degradation warning information, upgrade warning information and cancellation warning information.
14. The disaster early warning analysis system of claim 8, wherein the issuing module issues the risk potential early warning information to the facilities within latitude and longitude of the disaster early warning information by one or more of the following combinations:
mode 1: through short message, mail or office OA mode;
mode 2: the risk potential warning information is automatically assembled through the communication object interface, and the system automatically sends the risk potential warning information;
mode 3: receiving the message receipt sent by the opposite side;
mode 4: messages to and from are stored in the system for later review.
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| CN202210719987.7A CN115223336A (en) | 2022-06-23 | 2022-06-23 | Disaster early warning analysis system and method based on location service |
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