CN113360585A - Forest fire disaster-causing factor data system construction method, system, medium and equipment - Google Patents
Forest fire disaster-causing factor data system construction method, system, medium and equipment Download PDFInfo
- Publication number
- CN113360585A CN113360585A CN202110626372.5A CN202110626372A CN113360585A CN 113360585 A CN113360585 A CN 113360585A CN 202110626372 A CN202110626372 A CN 202110626372A CN 113360585 A CN113360585 A CN 113360585A
- Authority
- CN
- China
- Prior art keywords
- data
- combustible
- forest
- forest fire
- database
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000010276 construction Methods 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 claims abstract description 52
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 38
- 238000012545 processing Methods 0.000 claims abstract description 17
- 239000000463 material Substances 0.000 claims description 46
- 238000009826 distribution Methods 0.000 claims description 33
- 238000010586 diagram Methods 0.000 claims description 28
- 238000004364 calculation method Methods 0.000 claims description 18
- 238000003860 storage Methods 0.000 claims description 13
- 239000013598 vector Substances 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 8
- 230000001788 irregular Effects 0.000 claims description 5
- 230000001131 transforming effect Effects 0.000 claims description 5
- 238000005520 cutting process Methods 0.000 claims description 3
- 238000013501 data transformation Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 abstract description 16
- 238000007405 data analysis Methods 0.000 abstract description 2
- 238000013461 design Methods 0.000 abstract description 2
- 238000004891 communication Methods 0.000 description 7
- 238000001556 precipitation Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000011835 investigation Methods 0.000 description 4
- 238000012417 linear regression Methods 0.000 description 4
- 238000007726 management method Methods 0.000 description 4
- 238000013500 data storage Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 240000004282 Grewia occidentalis Species 0.000 description 2
- 230000006399 behavior Effects 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 2
- 238000001983 electron spin resonance imaging Methods 0.000 description 2
- 238000003306 harvesting Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 239000002023 wood Substances 0.000 description 2
- ATJFFYVFTNAWJD-UHFFFAOYSA-N Tin Chemical compound [Sn] ATJFFYVFTNAWJD-UHFFFAOYSA-N 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 210000000481 breast Anatomy 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 235000008216 herbs Nutrition 0.000 description 1
- 239000003864 humus Substances 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 241000894007 species Species 0.000 description 1
- 230000007480 spreading Effects 0.000 description 1
- 238000003892 spreading Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/176—Support for shared access to files; File sharing support
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Remote Sensing (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention discloses a method, a system, a medium and equipment for constructing a forest fire disaster causing factor data system. The construction method of the forest fire disaster causing factor data system comprises the following steps: acquiring meteorological data, and processing the meteorological data to form a meteorological information database; collecting combustible type and loading data information and combustible water content data information, and respectively drawing into thematic maps; collecting forest fire archive data, constructing a forest fire archive database, and sharing the data of the meteorological information database, the thematic map and the forest fire archive database to obtain a forest fire disaster causing factor data system. The invention also provides a system, a medium and equipment for constructing the forest fire disaster causing factor data system. The scheme of the invention adopts a reasonable scheme design and a scientific data analysis method to establish a finely classified database of various disaster-causing factors and realize real-time dynamic monitoring and acquisition of various fire risk factors in key forest zones.
Description
Technical Field
The invention relates to the technical field of forest fire prevention and control, in particular to a method, a system, a medium and equipment for constructing a forest fire disaster-causing factor data system.
Background
The forest fire monitoring and early warning scientific research strength in China is weak and needs to be further enhanced. In the aspect of forest fire monitoring and early warning work, only fire weather forecast based on meteorological factors (temperature, relative humidity, wind speed, wind direction, rainfall and the like) is kept, and the accuracy of conventional forest fire trend prediction needs to be further improved. Only main meteorological factors (temperature, relative humidity, wind speed, wind direction, precipitation and the like) influencing forest fires are considered, the meteorological factors are closely related to the occurrence and development of the forest fires, but the forest fire danger weather grade prediction and forecast only consider the meteorological factors, the forest fire danger weather forecast can be obtained, and the forest fire occurrence forecast and the forest fire behavior forecast cannot be realized.
The implementation of the early warning response mechanism of the forest fire danger is a precondition and a foundation for scientifically preventing the forest fire, and is also an objective requirement for realizing the change of the forest fire prevention work from passive coping with the forest fire to dominant solution of the risk of the fire and from passive management of 'fire fighting after the fact' to active management of 'solution in advance'. The realization of forest fire risk prediction requires comprehensive understanding of various factors related to the occurrence and development of forest fire, and the analysis and prediction of forest fire occurrence risk and forest fire spreading conditions are carried out by integrating various real-time fire factors. Through on-site research, it is found that, except that Jilin province is developed after years of construction, the technical level of forest fire early warning and monitoring and the early warning response management system of the Jilin province have corresponding rudiments, other provinces do not form a perfect forest fire early warning and response mechanism, standardized multifunctional comprehensive observation stations are not arranged in all places, real-time dynamic monitoring on various fire risk factors of key forest regions is not realized, monitoring and acquisition of important fire occurrence factors in the forest are lacked, a high-precision forest fire prediction and monitoring early warning model and a forest fire monitoring early warning system cannot be established, and finally prediction of forest fire behaviors is not meaningful.
Disclosure of Invention
Based on the method, the system, the medium and the equipment, the forest fire disaster causing factor data system is constructed.
In a first aspect, a method for constructing a forest fire disaster causing factor data system comprises the following steps:
acquiring meteorological data, and processing the meteorological data to form a meteorological information database;
collecting combustible type and loading data information and combustible water content data information, and respectively drawing into thematic maps;
collecting forest fire file data and constructing a forest fire file database;
and sharing the data of the meteorological information database, the thematic map and the forest fire archive database to obtain a forest fire disaster causing factor data system.
Further, the method for constructing the forest fire disaster causing factor data system further comprises the following steps of collecting basic geographic data: and associating the basic geographic information database, and extracting the geographic information of the forest resources from the database.
The basic geographic information database, the meteorological information database, the combustible material information database and the forest fire archive database are mutually interacted, and the respective information databases are supplemented and perfected by mutually sharing data. For example, the forest fire archive database interacts with the basic geographic information database, the meteorological information database and the combustible information database respectively to acquire data in the forest fire archive database, perfect geographic position information of forest fires, and complement and perfect meteorological information data, combustible information data and the like of forests and surrounding before and after each fire.
Further, the data processing forms a weather information database, including: processing invalid data or abnormal data, connecting weather station information, generating SHAPE files, cutting according to a fixed range, generating Thiessen polygons, converting a coordinate system and other processes, generating irregular triangular net files and raster files in a man-machine interaction mode, and finally converting the irregular triangular net files and the raster files into ASCII code files.
Further, for meteorological data obtained by the forest fire danger monitoring station, the data format is referred to as follows: the first column of the data is the name of a monitoring station, the second column is the air temperature (centigrade degree) at a certain moment, the third column is the relative humidity (%) at a certain moment, the fourth column is the wind speed (meter/second), the fifth column is the precipitation from 8 days before to 8 days, wherein null represents no precipitation; and meanwhile, TXT and EXCEL data meeting the requirements of the data format can be processed.
Further, when the meteorological information database is constructed, invalid data or abnormal data are automatically identified and removed, alarm is given when the invalid data or the abnormal data are modified and removed, and a list report of the modified/removed data is formed.
Further, the construction of the weather information database also comprises manual input data; mainly refers to a mode that a user inputs data through other modes such as telephone, fax and the like.
Further, the collecting combustible material type and loading data information comprises:
collecting combustible type and load information, including: determining the number and the position of the survey samples; determining forest combustible classification rules and methods, and coding; establishing a calculation equation of the combustible load; real-time data transformation is carried out, and a database is established;
collecting data information of water content of combustible;
drawing a thematic map according to the collected real-time combustible type and loading capacity data information and the combustible water content data information;
the thematic map comprises: combustible type and loading distribution diagram, combustible water content distribution diagram.
Further, the method for collecting the combustible material type and loading data information specifically comprises the following steps:
determining the number and the position of the survey samples; the method specifically comprises the following steps: collecting forest stand investigation factor information and combustible load data related to inferred combustible information in forest class clearing data in a target area, analyzing and determining spatial differentiation conditions, and determining the number and position of investigation sample plots;
classifying forest combustibles in a target area at level 3 on the basis of national forest combustible type classification standards, determining forest combustible classification rules and methods, and coding the rules and methods;
establishing a calculation equation of the combustible load;
the method specifically comprises the following steps: collecting sample plot survey data of the determined sample plot, and extracting dead combustible load, herbaceous combustible load, shrub combustible load, arbor combustible load and total load of 1 hour time lag, 10 hours time lag and 100 hours time lag from forest resource class clearing data; collecting survey data of forest stand survey factors and loads in sample plots: dead combustible materials are sampled by adopting a four-corner sampling method, and live combustible materials are sampled by adopting a harvesting method and a representative wood method; then, establishing a calculation equation for calculating the combustible load by using first-class checking data by adopting a multivariate linear regression method and other non-linear regression methods;
converting real-time data, and establishing a database:
and transforming forest survey data in the target area according to the classification rules and the calculation equation to generate a combustible material type database and a loading capacity database in the target area.
Further, a method of profiling the combustibles type and loading, comprising: forming a geographical space database of forest combustible classification sample plot bitmaps in a target area; and drawing a forest combustible distribution and loading grid diagram and a vector diagram.
Preferably, the method for forming the bitmap geospatial database of forest combustible classification sample sites in the target area comprises the following steps: collecting forest resource continuous checking sample plot survey data in the areas, and performing data standardization processing and other data preprocessing to ensure that the data contents of relevant fields of the forest resource continuous checking sample plot data in each area are consistent; extracting relevant fields of the sample plot database to form a combustible material classification work database; and according to the geographic coordinate data of the forest resource continuous checking sample plot, manufacturing digitized sample plot bitmaps according to the total population and the secondary population, splicing to form a uniform sample plot bitmap, and finally forming a forest combustible classification sample plot bitmap geographic space database in the target area.
Preferably, the method for drawing the forest combustible distribution and loading grid map comprises the following steps:
classifying the forest combustible material according to the data of each sample plot based on the geographical space database of the forest combustible material classification sample plot bitmap, and making a generated forest combustible material sample plot classification chart; superposing a forest combustible sample plot distribution diagram; and (3) performing interpolation calculation on each grid in the kilometer grid graph of the target area by using an interpolation calculation method to finally form a forest combustible distribution grid graph of the target area.
Preferably, the method for drawing the forest combustible distribution and loading capacity vector diagram comprises the following steps:
and carrying out grid map vectorization treatment on the basis of the forest combustible distribution grid map to form a geographic information vector map conforming to a geographic information system data format (such as an ARCGIS map format).
Furthermore, the forest fire archive database can be constructed by selecting any one of the acquisition modes, the archive data is uploaded to the server, and after the archive is uploaded successfully, the submitter can check whether the uploaded archive is correct. If not, the file can be deleted, if correct, the file is formally stored in the system, and in the process, the system is implicitly interacted with the meteorological information database, so that the meteorological information related to the file is automatically supplemented.
In a second aspect, the invention provides a system for constructing a forest fire disaster factor data system, comprising:
the meteorological information database construction module comprises: the system is used for collecting meteorological data and forming a meteorological information database through data processing;
combustible material information database construction module: the device is used for collecting combustible type and loading data information and combustible water content data information and respectively drawing thematic maps;
the forest fire archive database construction module comprises: the forest fire detection system is used for collecting forest fire file data and building a forest fire file database.
The meteorological information database construction module, the combustible material information database construction module and the forest fire archive database construction module share data with each other.
Further, the system for constructing the forest fire disaster factor data further comprises a basic geographic data acquisition module: the method is used for collecting basic geographic information data from the basic geographic information database and accurately positioning forest resources.
Further, the combustible material information database construction module comprises:
combustible type and loading data information acquisition module: collecting combustible material type and loading data information, and transforming the collected information data by using a classification rule and a calculation equation to generate a combustible material type and loading information database;
combustible water content data information acquisition module: collecting and storing data information of water content of the combustible to form a water content database of the combustible;
thematic map drawing module: drawing or correcting a thematic map according to the collected combustible type and loading capacity data information and the combustible water content data information; the thematic map comprises: combustible type and loading distribution diagram, combustible water content distribution diagram.
The thematic map drawing module comprises: the combustible type and loading capacity distribution diagram drawing module and the combustible water content distribution diagram drawing module.
In a third aspect, the present invention provides an apparatus comprising a storage device for storing one or more programs and a processor;
when the one or more programs are executed by the processor, the processor realizes the forest fire disaster causing factor data system construction method according to any one of the above items.
The fourth purpose of the invention is realized by the following technical scheme:
in a fourth aspect, a computer-readable storage medium stores at least one program, which when executed by a processor, implements the forest fire disaster causing factor data system construction method as in any one of the above.
The invention discloses a method, a system, equipment and a medium for constructing a forest fire disaster causing factor data system, which have the beneficial effects that:
compared with the prior art, the forest fire disaster causing factor data system construction method, the system, the equipment and the medium provided by the invention have the advantages that various finely classified disaster causing factor databases are established by obtaining the meteorological information database, the thematic map and the forest fire archive database and adopting a reasonable scheme design and a scientific data analysis method, various factors related to occurrence and development of forest fire are comprehensively known, real-time dynamic monitoring and acquisition of various fire risk factors in key forest zones are realized, and an accurate and comprehensive data basis is provided for establishing a high-precision forest fire risk prediction and monitoring early warning model and a forest fire monitoring early warning system.
For a better understanding and practice, the invention is described in detail below with reference to the accompanying drawings.
Drawings
FIG. 1 is a flow chart of a method for constructing a forest fire disaster-causing factor data system according to the present invention.
FIG. 2 is a flow chart of a method for constructing a combustible material information database in the forest fire disaster causing factor data system construction method of the invention.
Fig. 3 is a detailed flowchart of step S31 of the method for constructing the combustible information database in the forest fire disaster causing factor data system construction method of the present invention.
FIG. 4 is an overall schematic diagram of the forest fire disaster causing factor data system construction system of the present invention.
Fig. 5 is a schematic structural diagram of a combustible material information database construction module of the invention.
Reference numerals:
100. a basic geographic data acquisition module; 200. a meteorological information database construction module; 300. a combustible material information database construction module; 400. a forest fire archive database construction module; 310. the combustible material type and loading data information acquisition module; 320. the combustible water content data information acquisition module; 330. a thematic map drawing module; 331. a combustible material type and loading capacity distribution diagram drawing module; 332. and drawing a combustible water content distribution diagram.
Detailed Description
The terms of orientation of up, down, left, right, front, back, top, bottom, and the like, referred to or may be referred to in this specification, are defined relative to their configuration, and are relative concepts. Therefore, it may be changed according to different positions and different use states. Therefore, these and other directional terms should not be construed as limiting terms.
The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It should be noted that: in this specification, the numbers before the operation steps such as S1, S2, S3, S4, S5, S6 and the like are only used as references in the description process as references of the corresponding operation steps, and are not limited to the order or logical relationship of the operation steps, and some of the operation steps referred to may be sequentially implemented, implemented in parallel or implemented in a cross-way.
Referring to fig. 1 to 3, the method for constructing the forest fire disaster causing factor data system of the present invention comprises the following steps:
s1: acquiring basic geographic data: associating a basic geographic information database, and extracting geographic information of forest resources from the basic geographic information database;
s2: constructing a meteorological information database:
acquiring meteorological data from a forest fire danger monitoring station, a meteorological information database, manual input and the like, and uniformly processing the meteorological data to form a meteorological information database;
s3: constructing a combustible material information database:
mainly comprises collecting the combustible material type and carrying capacity data information, collecting the combustible material water content data information and drawing a thematic map;
s4: constructing a forest fire file database:
the collection mode of the forest fire archive data comprises the following steps: the user fills corresponding content on line through the prompt information on the webpage, and uploads the content to the server after verification; or downloading and filling the template provided by the system, and submitting the template through a data receiving path provided by the system after filling; if an existing file system exists, forest fire files are recorded in the file system, and the file system can be associated to directly collect the forest fire files.
The basic geographic information database, the meteorological information database, the combustible material information database and the forest fire archive database are mutually interacted, and the respective information databases are supplemented and perfected by mutually sharing data. For example, the forest fire archive database interacts with the basic geographic information database, the meteorological information database and the combustible information database respectively to acquire data in the basic geographic information database, perfect geographic position information of forest fires, and complement and perfect meteorological information data, combustible information data and the like of forests and surrounding before and after each fire.
S5: and sharing the data of the meteorological information database, the thematic map and the forest fire archive database to obtain a forest fire disaster causing factor data system.
In some embodiments, processing meteorological data comprises: the method completes the processes of automatic import of specific data, abnormal value processing, weather station information connection, SHAPE file generation, cutting according to a fixed range, Thiessen polygon generation, coordinate system conversion and the like, generates irregular triangular network (TIN) files and raster files in a man-machine interaction mode, and finally converts the files into ASCII code files.
In some embodiments, the data format of the meteorological data obtained by the forest fire danger monitoring station is referred to as follows: the first column of the data is the name of a monitoring station, the second column is the air temperature (centigrade degree) at a certain moment, the third column is the relative humidity (%) at a certain moment, the fourth column is the wind speed (meter/second), the fifth column is the precipitation from 8 days before to 8 days, wherein null represents no precipitation; and meanwhile, TXT and EXCEL data meeting the requirements of the data format can be processed.
In some embodiments, when the weather information database is built, for invalid or abnormal data, invalid data/modified abnormal data is automatically identified and eliminated, an alarm is given when modified/eliminated, and an inventory report of modified/eliminated data is formed.
In some embodiments, said building a weather information database further comprises manually entering data; mainly refers to a mode that a user inputs data through other modes such as telephone, fax and the like.
In some embodiments, the method for establishing the combustible material data information base comprises the following steps:
s31: combustible type and load data information is collected.
S32: and collecting the water content data information of the combustible.
S33: drawing a thematic map: drawing a thematic map according to the collected real-time combustible type and loading capacity data information and the combustible water content data information; the thematic map comprises: combustible type and loading distribution diagram, combustible water content distribution diagram.
In some embodiments, the S31: the method for acquiring the combustible material type and loading data information specifically comprises the following steps:
s311: the number and location of survey plots is determined.
Collecting forest stand investigation factor information and combustible load data related to inferred combustible information in forest class clearing data in the target area, analyzing and determining spatial diversity conditions, and determining the number and position of investigation sample plots. Preferably, the survey factors related to inferring combustible information in the type of inventory data include: average age of the forest; tree species composition, breast diameter (trunk diameter), tree height; humus thickness; thickness of litter; average height and coverage of herbs; average height and coverage of shrubs, etc.
S312: classifying the forest combustible in the target area at level 3 on the basis of national forest combustible type classification standard, determining forest combustible classification rules and methods, and coding.
The coding system should be a complete, top-down coding system, whose principle is:
uniqueness: having a nationwide uniform, obeable unique code;
the durability: each province's natural object classification can follow the set of codes;
availability: it is suitable for computer database storage and calculation.
S313: and establishing a calculation equation of the combustible load.
The method specifically comprises the following steps: collecting sample plot survey data of the determined sample plot, and extracting dead combustible load, herbaceous combustible load, shrub combustible load, arbor combustible load and total load of 1 hour time lag, 10 hours time lag and 100 hours time lag from forest resource class clearing data; collecting survey data of forest stand survey factors and loads in sample plots: dead combustible materials are sampled by adopting a four-corner sampling method, and live combustible materials are sampled by adopting a harvesting method and a representative wood method; then, a calculation equation for calculating the combustible load from the first-class inventory data is established by adopting a multivariate linear regression method and other non-linear regression methods.
S314: and (5) real-time data transformation is carried out, and a database is established.
And transforming forest survey data in the target area according to the classification rules and the calculation equation to generate a combustible material type database and a loading capacity database in the target area.
In some embodiments, the method for collecting the combustible water content data information comprises: and a water sensor is buried in each forest region, and combustible water content data of each forest region is collected in real time.
In some embodiments, a method of profiling the combustible type and load comprises: forming a geographical space database of forest combustible classification sample plot bitmaps in a target area; and drawing a forest combustible distribution and loading grid diagram and a vector diagram.
In some embodiments, the method for forming a bitmap geospatial database of forest combustible classification samples in a target area comprises: collecting forest resource continuous checking sample plot survey data in the areas, and performing data standardization processing and other data preprocessing to ensure that the data contents of relevant fields of the forest resource continuous checking sample plot data in each area are consistent; extracting relevant fields of the sample plot database to form a combustible material classification work database; and according to the geographic coordinate data of the forest resource continuous checking sample plot, manufacturing digitized sample plot bitmaps according to the total population and the secondary population, splicing to form a uniform sample plot bitmap, and finally forming a forest combustible classification sample plot bitmap geographic space database in the target area.
In some embodiments, the method of mapping forest combustible distribution and loading grid maps comprises:
classifying the forest combustible material according to the data of each sample plot based on the geographical space database of the forest combustible material classification sample plot bitmap, and making a generated forest combustible material sample plot classification chart; superposing a forest combustible sample plot distribution diagram; and (3) performing interpolation calculation on each grid in the kilometer grid graph of the target area by using an interpolation calculation method to finally form a forest combustible distribution grid graph of the target area.
In some embodiments, the method of mapping forest combustible distribution and load vectors comprises:
and carrying out grid map vectorization treatment on the basis of the forest combustible distribution grid map to form a geographic information vector map conforming to a geographic information system data format (such as an ARCGIS map format).
In some embodiments, the forest fire profile database may be constructed by selecting any one of the above collection methods, uploading the profile data to a server, and after the profile uploading is successful, a submitter may check whether the uploaded profile is correct. If not, the file can be deleted, if correct, the file is formally stored in the system, and in the process, the system is implicitly interacted with the meteorological information database, so that the meteorological information related to the file is automatically supplemented.
Referring to fig. 4 to 5, the forest fire disaster causing factor data system construction system of the present invention includes:
basic geographic data acquisition module 100: the system is used for providing various basic geographic information data with different scales;
the weather information database construction module 200: the system is used for collecting meteorological data and forming a meteorological information database through data processing; specifically, the system is used for uniformly processing and managing the collected meteorological historical information data and the live observation data of the networked meteorological stations;
combustible material information database construction module 300: the device is used for collecting the combustible type and loading data information and the combustible water content data information and respectively drawing thematic maps. The method is particularly used for collecting combustible data, including combustible type and loading data and forest combustible water content data; drawing a thematic map according to the collected combustible data;
forest fire archive database construction module 400: the forest fire detection system is used for collecting forest fire file data and building a forest fire file database. The method is particularly used for constructing a forest fire file database for collected forest fire data information, major forest fire data information, forest fire file data information of various regions and the like.
The basic geographic data acquisition module 100, the meteorological information database construction module 200, the combustible material information database construction module 300 and the forest fire record database construction module 400 are mutually interacted, and respective databases are supplemented and perfected by mutually sharing corresponding data.
Specifically, for example, the basic geographic data acquisition module 100, the meteorological information database construction module 200, the combustible material information database construction module 300, and the forest fire archive database construction module 400 interact with each other, and supplement and perfect the respective constructed information databases by sharing data with each other.
In some embodiments, the combustible material information database construction module 300 includes:
combustible type and load data information acquisition module 310: collecting combustible material type and loading data information, and transforming the collected information data by using a classification rule and a calculation equation to generate a combustible material type and loading information database;
combustible water content data information acquisition module 320: and collecting and storing the data information of the water content of the combustible to form a combustible water content database.
Thematic map drawing module 330: drawing or correcting a thematic map according to the collected combustible type and loading capacity data information and the combustible water content data information; the thematic map comprises: combustible type and loading distribution diagram, combustible water content distribution diagram.
The thematic map drawing module 330 includes: a combustible type and loading capacity distribution diagram drawing module 331 and a combustible water content distribution diagram drawing module 332.
Specifically, the data of the forest fire disaster-causing factor data system is organized, managed and stored in a database mode, the spatial data (spatial basic geographic data and spatial thematic data) is stored in an ArcSDE management mode or a PGDB mode, and the rest information is directly managed and stored in a relational database mode.
Vector data before warehousing support ArcInfo Coverage or ArcView profile format and raster data, and data after warehousing use ESRI Geodatabase as a spatial data storage model. Geodatabase is a native data format of ESRI ArcGIS, and is a brand-new data organization model. These spatial data and the like can be losslessly loaded into Oracle-based ArcSDE Geodatabase using ArcGIS Desktop.
And (4) establishing a basic geographic information database which meets the specifications and standards, wherein the accuracy and quality of the original data of the database are required to meet the relevant national standards and industry standards. And the warehousing data strictly conforms to code standards made by countries and forestry departments followed by the basic geographic data and the forestry resource data.
The invention also provides a computer readable storage medium, which stores at least one program, and when the program is executed by a processor, the method for constructing the forest fire disaster causing factor data system is realized.
It should be appreciated that the computer-readable storage medium is any data storage device that can store data or programs which can thereafter be read by a computer system. Examples of computer-readable storage media include: read-only memory, random access memory, CD-ROM, HDD, DVD, magnetic tape, optical data storage devices, and the like.
The computer readable storage medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.
Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
In some embodiments, the computer-readable storage medium may also be non-transitory.
The present invention also provides an apparatus comprising a storage device for storing one or more programs and a processor;
when the one or more programs are executed by the processor, the processor realizes the forest fire disaster causing factor data system construction method according to any one of the above items.
The device may also preferably include a communication interface for communicating with external devices and for interactive transmission of data.
It should be noted that the memory may include a high-speed RAM memory, and may also include a nonvolatile memory (nonvolatile memory), such as at least one disk memory.
In a specific implementation, if the memory, the processor and the communication interface are integrated on a chip, the memory, the processor and the communication interface can complete mutual communication through the internal interface. If the memory, the processor and the communication interface are implemented independently, the memory, the processor and the communication interface may be connected to each other through a bus and perform communication with each other.
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 invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (10)
1. A method for constructing a forest fire disaster-causing factor data system is characterized by comprising the following steps:
acquiring meteorological data, and processing the meteorological data to form a meteorological information database;
collecting combustible type and loading data information and combustible water content data information, and respectively drawing into thematic maps;
collecting forest fire file data and constructing a forest fire file database;
and sharing the data of the meteorological information database, the thematic map and the forest fire archive database to obtain a forest fire disaster causing factor data system.
2. The forest fire disaster causing factor data system construction method according to claim 1, wherein the forest fire disaster causing factor data system construction method further comprises a correlation basic geographic information database from which geographic information of forest resources is extracted.
3. The forest fire disaster causing factor data system construction method according to claim 1 or 2, wherein the data processing forms a meteorological information database, comprising: processing invalid data or abnormal data, connecting weather station information, generating SHAPE files, cutting to generate Thiessen polygons, converting coordinate systems, generating irregular triangular net files and raster files in a man-machine interaction mode, and finally converting the irregular triangular net files and the raster files into ASCII code files.
4. The forest fire disaster causing factor data system construction method according to claim 1 or 2, characterized in that when the meteorological information database is constructed, invalid data or abnormal data is automatically identified and removed, an alarm is given when the data is modified or removed, and a list report of the modified/removed data is formed.
5. The forest fire disaster causing factor data system construction method according to claim 1, wherein the collecting combustible type and loading data information comprises:
collecting combustible type and load information, including: determining the number and the position of the survey samples; determining forest combustible classification rules and methods, and coding; establishing a calculation equation of the combustible load; real-time data transformation is carried out, and a database is established;
collecting data information of water content of combustible;
drawing a thematic map according to the collected real-time combustible type and loading capacity data information and the combustible water content data information;
the thematic map comprises: combustible type and loading distribution diagram, combustible water content distribution diagram.
6. The forest fire disaster causing factor data system construction method of claim 5, wherein the method for drawing the combustible type and loading distribution map comprises the following steps:
forming a map geographical spatial database of forest combustible classification sample sites in a target area, comprising: collecting forest resource continuous checking sample plot survey data in the areas, and performing data standardization processing and other data preprocessing to ensure that the data contents of relevant fields of the forest resource continuous checking sample plot data in each area are consistent; extracting relevant fields of the sample plot database to form a combustible material classification work database; according to the geographic coordinate data of the forest resource continuous checking sample plot, manufacturing digitized sample plot bitmaps according to the total population and the secondary population, splicing to form a uniform sample plot bitmap, and finally forming a forest combustible classification sample plot bitmap geographic space database in a target area;
drawing a forest combustible distribution and loading grid diagram and a vector diagram, wherein the drawing comprises the following steps: classifying the forest combustible material according to the data of each sample plot based on the geographical space database of the forest combustible material classification sample plot bitmap, and making a generated forest combustible material sample plot classification chart; superposing a forest combustible sample plot distribution diagram; performing interpolation calculation on each grid in the kilometer grid graph of the target area by using an interpolation calculation method to finally form a forest combustible distribution grid graph of the target area; and carrying out grid map vectorization treatment on the basis of the forest combustible distribution grid map to form a geographic information vector map.
7. A forest fire disaster-causing factor data system construction system is characterized by comprising the following steps:
the meteorological information database construction module comprises: the system is used for collecting meteorological data and forming a meteorological information database through data processing;
combustible material information database construction module: the device is used for collecting combustible type and loading data information and combustible water content data information and respectively drawing thematic maps;
the forest fire archive database construction module comprises: the forest fire detection system is used for collecting forest fire file data and building a forest fire file database.
8. The forest fire disaster causing factor data system construction system according to claim 7, wherein the combustible information database construction module comprises:
combustible type and loading data information acquisition module: collecting combustible material type and loading data information, and transforming the collected information data by using a classification rule and a calculation equation to generate a combustible material type and loading information database;
combustible water content data information acquisition module: collecting and storing data information of water content of the combustible to form a water content database of the combustible;
thematic map drawing module: and drawing or correcting a thematic map according to the collected combustible type and loading data information and the combustible water content data information.
9. A computer-readable storage medium, characterized in that it stores at least one program which, when executed by a processor, implements the forest fire disaster factor data system construction method according to any one of claims 1 to 6.
10. An apparatus comprising a storage device and a processor, the storage device to store one or more programs;
when the one or more programs are executed by the processor, the processor implements the forest fire disaster factor data system construction method according to any one of claims 1 to 6.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110626372.5A CN113360585A (en) | 2021-06-04 | 2021-06-04 | Forest fire disaster-causing factor data system construction method, system, medium and equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110626372.5A CN113360585A (en) | 2021-06-04 | 2021-06-04 | Forest fire disaster-causing factor data system construction method, system, medium and equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113360585A true CN113360585A (en) | 2021-09-07 |
Family
ID=77532308
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110626372.5A Pending CN113360585A (en) | 2021-06-04 | 2021-06-04 | Forest fire disaster-causing factor data system construction method, system, medium and equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113360585A (en) |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040220753A1 (en) * | 2002-11-18 | 2004-11-04 | Joseph Tabe | Home-land intelligent system's technology "H-LIST" |
US20120066005A1 (en) * | 2010-09-10 | 2012-03-15 | State Farm Mutual Automobile Insurance Company | Systems and methods for grid-based insurance rating |
CN103020369A (en) * | 2012-12-21 | 2013-04-03 | 浙江农林大学 | High-resolution forest fire forecasting method |
CN103065045A (en) * | 2012-12-21 | 2013-04-24 | 浙江农林大学 | Forecast method of forest fire danger of coupling climate and vegetation |
CN103593584A (en) * | 2013-11-29 | 2014-02-19 | 民政部国家减灾中心 | Area fire risk estimation method |
CN103824138A (en) * | 2012-11-19 | 2014-05-28 | 郭志华 | Forest fire hazard emergency command decision management GIS three-dimensional platform |
CN103886130A (en) * | 2014-02-24 | 2014-06-25 | 中国林业科学研究院森林生态环境与保护研究所 | Forest fire combustible combustion efficiency estimation method |
CN105389931A (en) * | 2015-11-18 | 2016-03-09 | 西安天璇智能系统科技有限公司 | Intelligent monitoring and warning system for forest fire prevention |
CN105719421A (en) * | 2016-04-27 | 2016-06-29 | 丛静华 | Big data mining based integrated forest fire prevention informatization system |
CN111783634A (en) * | 2020-06-29 | 2020-10-16 | 北京华云星地通科技有限公司 | Fire point detection method based on satellite remote sensing data |
CN112712275A (en) * | 2021-01-07 | 2021-04-27 | 南京大学 | Forest fire risk assessment method based on Maxent and GIS |
-
2021
- 2021-06-04 CN CN202110626372.5A patent/CN113360585A/en active Pending
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040220753A1 (en) * | 2002-11-18 | 2004-11-04 | Joseph Tabe | Home-land intelligent system's technology "H-LIST" |
US20120066005A1 (en) * | 2010-09-10 | 2012-03-15 | State Farm Mutual Automobile Insurance Company | Systems and methods for grid-based insurance rating |
CN103824138A (en) * | 2012-11-19 | 2014-05-28 | 郭志华 | Forest fire hazard emergency command decision management GIS three-dimensional platform |
CN103020369A (en) * | 2012-12-21 | 2013-04-03 | 浙江农林大学 | High-resolution forest fire forecasting method |
CN103065045A (en) * | 2012-12-21 | 2013-04-24 | 浙江农林大学 | Forecast method of forest fire danger of coupling climate and vegetation |
CN103593584A (en) * | 2013-11-29 | 2014-02-19 | 民政部国家减灾中心 | Area fire risk estimation method |
CN103886130A (en) * | 2014-02-24 | 2014-06-25 | 中国林业科学研究院森林生态环境与保护研究所 | Forest fire combustible combustion efficiency estimation method |
CN105389931A (en) * | 2015-11-18 | 2016-03-09 | 西安天璇智能系统科技有限公司 | Intelligent monitoring and warning system for forest fire prevention |
CN105719421A (en) * | 2016-04-27 | 2016-06-29 | 丛静华 | Big data mining based integrated forest fire prevention informatization system |
CN111783634A (en) * | 2020-06-29 | 2020-10-16 | 北京华云星地通科技有限公司 | Fire point detection method based on satellite remote sensing data |
CN112712275A (en) * | 2021-01-07 | 2021-04-27 | 南京大学 | Forest fire risk assessment method based on Maxent and GIS |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Pinto et al. | Evaluation and projections of extreme precipitation over southern Africa from two CORDEX models | |
CN110019595B (en) | Multi-source meteorological data integration method and system | |
CN108446293A (en) | A method of based on urban multi-source isomeric data structure city portrait | |
Bashari et al. | Risk of fire occurrence in arid and semi-arid ecosystems of Iran: an investigation using Bayesian belief networks | |
Chapman et al. | Linking plant species information to continental biodiversity inventory, climate modeling and environmental monitoring | |
CN111310898A (en) | Landslide hazard susceptibility prediction method based on RNN | |
CN115994685A (en) | Method for evaluating current situation of homeland space planning | |
CN112015786B (en) | Extreme weather monitoring and early warning information processing system for outer race field | |
CN113190556B (en) | Method, system, medium and equipment for establishing forest surface combustible database | |
Yildiz et al. | Monitoring urban growth by using segmentation-classification of multispectral Landsat images in Izmit, Turkey | |
CN115586536A (en) | Forest resource investigation monitoring system and method based on laser point cloud | |
CN115577011A (en) | Power transmission line monitoring method and related equipment | |
CN113222237B (en) | Dynamic prediction method, system, equipment and medium for water content of forest combustible | |
Krofcheck et al. | Allometric relationships for Quercus gambelii and Robinia neomexicana for biomass estimation following disturbance | |
Guo et al. | Automatic data quality control of observations in wireless sensor network | |
KR102580376B1 (en) | Automation-based Standardization System for forest management | |
CN113360585A (en) | Forest fire disaster-causing factor data system construction method, system, medium and equipment | |
Kiviste et al. | Diameter distribution models and height-diameter equations for Estonian forests. | |
CN109684388B (en) | Meteorological data index and visual analysis method based on super-cubic grid tree | |
CN114443790B (en) | Cultivated land data integration method, equipment and storage medium | |
Roser et al. | Drone imagery protocols to map vegetation are transferable between dryland sites across an elevational gradient | |
CN114579647A (en) | Fusion model for ecological monitoring data of multi-source heterogeneous wetland | |
Buya et al. | Analysis of land surface temperature with land use and land cover and elevation from NASA MODIS satellite data: a case study of Bali, Indonesia | |
CN113156082B (en) | Method and system for identifying depth of active layer of crop root system | |
CN115455490A (en) | Carbon right asset digital acquisition method based on block chain |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |