CN114091743A - Mountain forest fire-fighting command decision method and system - Google Patents
Mountain forest fire-fighting command decision method and system Download PDFInfo
- Publication number
- CN114091743A CN114091743A CN202111341159.6A CN202111341159A CN114091743A CN 114091743 A CN114091743 A CN 114091743A CN 202111341159 A CN202111341159 A CN 202111341159A CN 114091743 A CN114091743 A CN 114091743A
- Authority
- CN
- China
- Prior art keywords
- fire
- fighting
- target area
- early warning
- information
- 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
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000005259 measurement Methods 0.000 claims abstract description 58
- 238000012544 monitoring process Methods 0.000 claims description 15
- 238000012800 visualization Methods 0.000 claims description 7
- 239000000126 substance Substances 0.000 claims description 6
- 230000000007 visual effect Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 4
- 238000003384 imaging method Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000010835 comparative analysis Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
Images
Classifications
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- 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
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- 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
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/005—Fire alarms; Alarms responsive to explosion for forest fires, e.g. detecting fires spread over a large or outdoors area
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Databases & Information Systems (AREA)
- Tourism & Hospitality (AREA)
- Emergency Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Probability & Statistics with Applications (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Computational Linguistics (AREA)
- Operations Research (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Fuzzy Systems (AREA)
- Remote Sensing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Computing Systems (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a mountain forest fire control command decision method and a mountain forest fire control command decision system, wherein the mountain forest primary early warning of a target area is generated by acquiring the fire occurrence probability of the target area when the fire occurrence probability is greater than a preset early warning value; acquiring a target area fire fighting resource and a primary early warning strategy corresponding to the mountain forest primary early warning, and generating a fire fighting plan according to the target area fire fighting resource and the primary early warning strategy; the target area is monitored in real time, when a fire disaster occurs in the target area, actual measurement meteorological information of a fire scene is obtained, whether the fire fighting plan meets the current fire fighting requirement is determined according to the actual measurement meteorological information of the fire scene, the fire fighting plan is visually output when the fire fighting plan meets the current fire fighting requirement, the fire scene information can be accurately mastered, a command decision is easier, the fire fighting command speed and efficiency are improved, the system resource overhead is reduced, and the early warning efficiency and the effectiveness of the fire fighting command are improved.
Description
Technical Field
The invention relates to the technical field of fire fighting, in particular to a mountain forest fire fighting command decision method and a mountain forest fire fighting command decision system.
Background
The forest fire disaster is a natural disaster which has strong burst property and large destructiveness and is difficult to deal with and rescue, and the forest fire disaster is very easy to cause great loss once occurring, and the life and property safety can not be effectively guaranteed, so that the prevention of the fire disaster needs to be performed by taking measures to ensure that the fire disaster is sufficient, and the control is performed on the source of the fire disaster, so that the fire disaster is not caused.
The forest fire fighting has the problems of wide fire fighting area, great influence of fire behavior on weather, complex forest environment, difficulty in putting fire fighting resources, incapability of accurately mastering fire scene information, difficulty in commanding and deciding and the like.
Disclosure of Invention
The invention mainly aims to provide a mountain forest fire control command decision method and a mountain forest fire control command decision system, and aims to solve the technical problems that mountain forest fire control in the prior art is complex in mountain forest environment, difficult in fire control resource release, incapable of accurately mastering fire scene information and difficult in command decision.
In a first aspect, the invention provides a mountain forest fire-fighting command decision method, which comprises the following steps:
acquiring the fire occurrence probability of a target area, and generating mountain forest primary early warning of the target area when the fire occurrence probability is greater than a preset early warning value;
acquiring a target area fire fighting resource and a primary early warning strategy corresponding to the mountain forest primary early warning, and generating a fire fighting plan according to the target area fire fighting resource and the primary early warning strategy;
the target area is monitored in real time, actual measurement meteorological information of a fire scene is obtained when a fire disaster of the target area is detected, whether the fire fighting plan meets the current fire fighting requirement or not is determined according to the actual measurement meteorological information of the fire scene, and the fire fighting plan is visually output when the fire fighting plan meets the current fire fighting requirement.
Optionally, the acquiring a fire occurrence probability of a target area, and when the fire occurrence probability is greater than a preset early warning value, generating a mountain forest primary early warning of the target area includes:
acquiring mountain forest fire protection big data, and generating a fire spread model library, a fire protection strategy library, a fire protection resource library and a geographic information library according to the mountain forest fire protection big data;
acquiring national weather forecast information through the weather measurement module, and acquiring target geographic information of a target area from the geographic information base;
judging the fire occurrence probability of the fire in the target area according to the national weather forecast information, the target geographic information and the preset grades;
and comparing the fire occurrence probability with the preset early warning value, and generating the mountain forest primary early warning of the target area when the fire occurrence probability is greater than the preset early warning value.
Optionally, the obtaining of the target area fire fighting resource and the primary early warning policy corresponding to the primary early warning of the mountain forest, and generating a fire fighting plan according to the target area fire fighting resource and the primary early warning policy include:
and calling a target area fire-fighting resource corresponding to the target area from the fire-fighting resource library, selecting a primary early-warning strategy corresponding to the mountain forest primary early-warning from the fire-fighting strategy library, and generating a fire-fighting plan according to the target area fire-fighting resource and the primary early-warning strategy.
Optionally, the monitoring the target area in real time, obtaining actual measurement meteorological information of a fire scene when a fire disaster occurs in the target area, determining whether the fire protection plan meets a current fire protection requirement according to the actual measurement meteorological information of the fire scene, and visually outputting the fire protection plan when the fire protection plan meets the current fire protection requirement includes:
monitoring the target area in real time, obtaining mountain forest fire scene information, and judging whether the target area has a fire or not according to the mountain forest fire scene information;
when a fire disaster in the target area is detected, acquiring actual measurement meteorological information and fire fighting configuration information of the fire scene in the target area;
performing fire spread analysis on the fire scene according to the actual measurement meteorological information of the fire scene and the fire protection configuration information to obtain an analysis result, and determining whether the fire protection plan meets the current fire protection requirement according to the analysis result;
and visually outputting the fire-fighting plan when the fire-fighting plan meets the current fire-fighting requirement, and reselecting an early warning strategy when the fire-fighting plan does not meet the current fire-fighting requirement.
Optionally, the performing fire spread analysis on the fire scene according to the actual measurement meteorological information and the fire protection configuration information to obtain an analysis result, and determining whether the fire protection plan meets the current fire protection requirement according to the analysis result includes:
acquiring a spread analysis model matched with the target region from the fire spread model library;
inputting the actual measurement meteorological information and the fire fighting configuration information of the fire scene into the spreading analysis model to obtain an analysis result;
when the analysis result is that the fire spread is controllable, judging that the fire-fighting plan meets the current fire-fighting requirement;
and when the analysis result is that the fire spreading is uncontrollable, judging that the fire-fighting plan does not meet the current fire-fighting requirement.
In a second aspect, to achieve the above object, the present invention further provides a mountain forest fire fighting command and decision system, including:
the fire-fighting decision-making module, the fire spread prediction model and the visualization module; wherein the content of the first and second substances,
the fire fighting decision module is used for acquiring the fire occurrence probability of a target area and generating mountain forest primary early warning of the target area when the fire occurrence probability is greater than a preset early warning value;
the fire fighting decision module is further used for acquiring a target area fire fighting resource and a primary early warning strategy corresponding to the mountain forest primary early warning, and generating a fire fighting plan according to the target area fire fighting resource and the primary early warning strategy;
the fire spread prediction model is also used for monitoring the target area in real time and obtaining actual measurement meteorological information of a fire scene when a fire disaster occurs in the target area;
the fire fighting decision module is also used for determining whether the fire fighting plan meets the current fire fighting requirement according to the actual measurement meteorological information of the fire scene;
and the visualization module is used for visually outputting the fire-fighting plan when the fire-fighting plan meets the current fire-fighting requirement.
Optionally, the mountain forest fire-fighting command decision system further includes: a weather prediction module; wherein the content of the first and second substances,
the fire fighting decision module is also used for acquiring mountain forest fire fighting big data and generating a fire spread model library, a fire fighting strategy library, a fire fighting resource library and a geographic information library according to the mountain forest fire fighting big data;
the weather prediction module is also used for acquiring national weather forecast information;
the fire spread prediction model is also used for acquiring target geographic information of a target area from the geographic information base and judging the fire occurrence probability of the fire in the target area according to the national weather forecast information, the target geographic information and preset grades;
the fire fighting decision module is further configured to compare the fire occurrence probability with the preset early warning value, and generate a mountain forest primary early warning of the target area when the fire occurrence probability is greater than the preset early warning value.
Optionally, the fire fighting decision module is further configured to retrieve a target area fire fighting resource corresponding to the target area from the fire fighting resource library, select a primary early warning policy corresponding to the mountain forest primary early warning from the fire fighting policy library, and generate a fire fighting plan according to the target area fire fighting resource and the primary early warning policy.
Optionally, the fire spreading prediction model is further configured to monitor the target area in real time, obtain mountain forest fire scene information, and determine whether the target area is in fire according to the mountain forest fire scene information;
the fire spread prediction model is further used for acquiring actual measurement meteorological information and fire fighting configuration information of the fire scene of the target area when the fire disaster of the target area is detected;
the fire spread prediction model is also used for carrying out fire spread analysis on the fire scene according to the actually measured meteorological information of the fire scene and the fire fighting configuration information to obtain an analysis result;
and the fire fighting decision module is also used for determining whether the fire fighting plan meets the current fire fighting requirement according to the analysis result, and reselecting the early warning strategy when the fire fighting plan does not meet the current fire fighting requirement.
Optionally, the fire spread prediction model is further used for obtaining a spread analysis model matched with the target region from the fire spread model library;
the fire spreading prediction model is also used for inputting the actual measurement meteorological information and the fire fighting configuration information of the fire scene into the spreading analysis model to obtain an analysis result;
the fire fighting decision module is also used for judging that the fire fighting plan meets the current fire fighting requirement when the analysis result is that the fire spreading is controllable;
and the fire fighting decision module is also used for judging that the fire fighting plan does not meet the current fire fighting requirement when the analysis result is that the fire spreading is uncontrollable.
According to the mountain forest fire control command decision method, the mountain forest primary early warning of a target area is generated by acquiring the fire occurrence probability of the target area when the fire occurrence probability is larger than a preset early warning value; acquiring a target area fire fighting resource and a primary early warning strategy corresponding to the mountain forest primary early warning, and generating a fire fighting plan according to the target area fire fighting resource and the primary early warning strategy; real-time supervision the target area detects when the target area breaks out the conflagration, obtains the actual measurement meteorological information in the scene of a fire, according to the actual measurement meteorological information in the scene of a fire confirms whether the fire control scheme satisfies current fire control demand, and the fire control scheme satisfies visual output when the current fire control demand the fire control scheme through visual output, can accurately grasp scene of a fire information, and the commander decision is easier, has improved fire control command speed and efficiency, has solved the problem that the fire in the target area spreads and fire control strength under the complex environment puts in the difficulty, can carry out fire control resource fast and put in, has reduced system resources cost, has promoted early warning efficiency and fire control command's validity.
Drawings
FIG. 1 is a schematic flow chart of a mountain fire-fighting command decision method according to a first embodiment of the present invention;
FIG. 2 is a schematic flow chart of a mountain fire-fighting command decision method according to a second embodiment of the present invention;
FIG. 3 is a schematic flow chart of a mountain fire-fighting command decision method according to a third embodiment of the present invention;
FIG. 4 is a schematic flow chart of a mountain fire-fighting command decision method according to a fourth embodiment of the present invention;
FIG. 5 is a schematic flow chart of a fifth embodiment of the mountain fire fighting command method according to the present invention;
FIG. 6 is a functional block diagram of a mountain fire control decision system according to a first embodiment of the present invention;
fig. 7 is a block diagram of the system components of the mountain fire-fighting command decision system according to the second embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The solution of the embodiment of the invention is mainly as follows: by acquiring the fire occurrence probability of a target area, generating a mountain forest primary early warning of the target area when the fire occurrence probability is greater than a preset early warning value; acquiring a target area fire fighting resource and a primary early warning strategy corresponding to the mountain forest primary early warning, and generating a fire fighting plan according to the target area fire fighting resource and the primary early warning strategy; monitoring the target area in real time, acquiring actual measurement meteorological information of a fire scene when detecting that a fire disaster happens to the target area, determining whether the fire fighting plan meets the current fire fighting requirement according to the actual measurement meteorological information of the fire scene, and visually outputting the fire-fighting plan when the fire-fighting plan meets the current fire-fighting requirement, through visual output, can accurately master the scene of a fire information, the command decision-making is easier, the fire control command speed and efficiency are improved, the problem that the fire in the target area is spread and the fire control strength is difficult to put in under the complex environment is solved, the fire control resource can be put in quickly, the system resource overhead is reduced, the effectiveness of early warning efficiency and fire control command is improved, the technical problems that in the prior art, the mountain forest fire control has complex mountain forest environment, the fire control resource is difficult to put in, the scene of a fire information can not be accurately mastered, and the command decision-making is difficult are solved.
Referring to fig. 1, fig. 1 is a schematic flow chart of a mountain fire-fighting command decision method according to a first embodiment of the present invention.
In a first embodiment, the mountain forest fire fighting command decision method comprises the following steps:
and S10, acquiring the fire occurrence probability of a target area, and generating the mountain forest primary early warning of the target area when the fire occurrence probability is greater than a preset early warning value.
It should be noted that the fire occurrence probability is a probability of a fire occurring in a target area, the preset early warning value is a preset threshold value for determining whether a fire occurs, when the fire occurrence probability is greater than the preset early warning value, it can be determined that a fire easily occurs in the target area, and a mountain forest primary early warning of the target area can be correspondingly generated.
And S20, acquiring target area fire fighting resources and a primary early warning strategy corresponding to the mountain forest primary early warning, and generating a fire fighting plan according to the target area fire fighting resources and the primary early warning strategy.
It can be understood that the fire fighting resources and the primary early warning strategy of the target area corresponding to the primary early warning of the mountain forest can generate the corresponding fire fighting early warning through the fire fighting resources and the primary early warning strategy of the target area.
Step S30, monitoring the target area in real time, obtaining actual measurement meteorological information of a fire scene when a fire disaster occurs in the target area, determining whether the fire protection plan meets the current fire protection requirement or not according to the actual measurement meteorological information of the fire scene, and visually outputting the fire protection plan when the fire protection plan meets the current fire protection requirement.
It should be understood that, real-time monitoring the target area can obtain the real-time mountain forest fire scene state of the target area, when detecting that the target area has a fire, can obtain the actual measurement meteorological information of the fire scene through the actual measurement of the meteorological phenomena, through the actual measurement meteorological information of the fire scene, whether the fire control plan meets the current fire control demand can be judged, the fire control plan meets the current fire control demand, and visual imaging output can be carried out, so that fire control command decision auxiliary information is provided for commanders, and the fire control command efficiency is improved.
According to the scheme, by acquiring the fire occurrence probability of the target area, when the fire occurrence probability is larger than a preset early warning value, primary mountain forest early warning of the target area is generated; acquiring a target area fire fighting resource and a primary early warning strategy corresponding to the mountain forest primary early warning, and generating a fire fighting plan according to the target area fire fighting resource and the primary early warning strategy; real-time supervision the target area detects when the target area breaks out the conflagration, obtains the actual measurement meteorological information in the scene of a fire, according to the actual measurement meteorological information in the scene of a fire confirms whether the fire control scheme satisfies current fire control demand, and the fire control scheme satisfies visual output when the current fire control demand the fire control scheme through visual output, can accurately grasp scene of a fire information, and the commander decision is easier, has improved fire control command speed and efficiency, has solved the problem that the fire in the target area spreads and fire control strength under the complex environment puts in the difficulty, can carry out fire control resource fast and put in, has reduced system resources cost, has promoted early warning efficiency and fire control command's validity.
Further, fig. 2 is a schematic flow chart of a mountain fire-fighting command decision method according to a second embodiment of the present invention, and as shown in fig. 2, the mountain fire-fighting command decision method according to the second embodiment of the present invention is proposed based on the first embodiment, in this embodiment, the step S10 specifically includes the following steps:
and S11, acquiring mountain forest fire protection big data, and generating a fire spread model library, a fire protection strategy library, a fire protection resource library and a geographic information library according to the mountain forest fire protection big data.
It should be noted that the mountain forest fire protection big data is a set formed by fusing historical mountain forest fire protection data and massive data corresponding to fire protection data obtained by current real-time monitoring, and includes various preset fire protection spreading models, fire protection strategies, fire protection resource information of each area and geographic information, a fire protection spreading model library for predicting fire protection spreading trend can be generated through the mountain forest fire protection big data, a fire protection strategy library for storing different fire protection plans and strategies is generated, a fire protection resource library for storing fire protection resource information of different areas is generated, and a geographic information library for storing detailed geographic information and fire protection related information of different areas is generated, wherein the geographic information includes information such as terrain, roads, water sources and vegetation.
And step S12, acquiring national weather forecast information through the weather measurement module, and acquiring target geographic information of a target area from the geographic information base.
It can be understood that the weather forecast information of the country can be obtained through the weather prediction module, the weather forecast information of the corresponding target area corresponds to the weather forecast information of the corresponding national weather forecast information, and the target geographic information of the target area can be obtained from the geographic information base.
And step S13, judging the fire occurrence probability of the fire in the target area according to the national weather forecast information, the target geographic information and the preset grades.
It should be understood that the preset classification is a preset classification level corresponding to a fire early warning in the target area, and the possibility of a fire in the target area, that is, the fire occurrence probability of the fire in the target area, can be determined through the national weather forecast information, the target geographic information and the preset classification.
And step S14, comparing the fire occurrence probability with the preset early warning value, and generating the mountain forest primary early warning of the target area when the fire occurrence probability is greater than the preset early warning value.
It can be understood that the preset early warning value is a preset threshold value for judging whether to send out a fire early warning judgment probability, and when the fire occurrence probability is greater than the preset early warning value, the mountain forest primary early warning in the target area can be generated.
According to the scheme, the method comprises the steps that forest fire protection big data are obtained, and a fire spread model base, a fire protection strategy base, a fire protection resource base and a geographic information base are generated according to the forest fire protection big data; acquiring national weather forecast information through the weather measurement module, and acquiring target geographic information of a target area from the geographic information base; judging the fire occurrence probability of the fire in the target area according to the national weather forecast information, the target geographic information and the preset grades; and comparing the fire occurrence probability with the preset early warning value, generating the mountain forest primary early warning of the target area when the fire occurrence probability is greater than the preset early warning value, quickly judging the probability of mountain forest fire in the target area, further quickly generating the mountain forest primary early warning, and improving the follow-up fire control command speed and efficiency.
Further, fig. 3 is a schematic flow chart of a decision method for fire protection command in mountain forest according to a third embodiment of the present invention, and as shown in fig. 3, the third embodiment of the decision method for fire protection command in mountain forest according to the present invention is proposed based on the second embodiment, in this embodiment, the step S20 specifically includes the following steps:
s21, calling a target area fire-fighting resource corresponding to the target area from the fire-fighting resource library, selecting a primary early-warning strategy corresponding to the mountain forest primary early-warning from the fire-fighting strategy library, and generating a fire-fighting plan according to the target area fire-fighting resource and the primary early-warning strategy.
It should be noted that the fire-fighting resource library stores fire-fighting resource information corresponding to the target area, the fire-fighting resource of the target area corresponding to the target area can be called from the fire-fighting resource library, the fire-fighting plan and the strategy corresponding to the target area are stored in the fire-fighting strategy library, the primary early-warning strategy corresponding to the primary early-warning of the mountain forest can be selected from the fire-fighting strategy library, and the corresponding fire-fighting plan can be generated through the fire-fighting resource of the target area and the primary early-warning strategy.
According to the scheme, a target area fire fighting resource corresponding to the target area is called from the fire fighting resource library, a primary early warning strategy corresponding to the mountain forest primary early warning is selected from the fire fighting strategy library, and a fire fighting plan is generated according to the target area fire fighting resource and the primary early warning strategy; can generate the fire control scheme fast, conveniently follow-up fire control resource is put in fast, has improved follow-up fire control command speed and efficiency.
Further, fig. 4 is a schematic flow chart of a mountain fire-fighting command decision method according to a fourth embodiment of the present invention, and as shown in fig. 4, the mountain fire-fighting command decision method according to the fourth embodiment of the present invention is proposed based on the second embodiment, and in this embodiment, the step S30 specifically includes the following steps:
and step S31, monitoring the target area in real time, acquiring mountain forest fire scene information, and judging whether the target area has a fire or not according to the mountain forest fire scene information.
It should be noted that the target area is monitored in real time, mountain and forest fire scene information of the target area is obtained, and whether a fire disaster occurs in the target area can be further determined according to the mountain and forest fire scene information, that is, whether the fire disaster actually occurs in the target area is determined according to the mountain and forest fire scene information.
And step S32, when the fire disaster of the target area is detected, acquiring actual measurement meteorological information and fire fighting configuration information of the fire scene of the target area.
It can be understood that when a fire disaster occurs in the target area, the actual measurement weather information of the fire scene and the fire fighting configuration information of the target area can be obtained in time, the actual measurement weather information of the fire scene is the current weather related information of the fire scene measured in real time, the fire fighting configuration information is the fire fighting strength configuration related information of the target area, and the fire fighting configuration information includes, but is not limited to, the configuration information of fire fighting teams, the fire fighting means, the road accessibility, the fire fighting safety and other fire fighting strength configuration information of various angles.
And S33, performing fire spread analysis on the fire scene according to the actual measurement meteorological information and the fire protection configuration information to obtain an analysis result, and determining whether the fire protection plan meets the current fire protection requirement according to the analysis result.
It should be understood that, the fire scene fire spreading analysis can be performed by using the fire scene actual measurement meteorological information and the fire protection configuration information, that is, the fire scene fire spreading trend is predicted, the fire protection strategy efficiency can be evaluated by using the fire scene actual measurement meteorological information and the fire protection configuration information, and then the corresponding analysis result is obtained, and whether the fire protection plan meets the current fire protection requirement or not can be determined by using the analysis result, that is, whether the fire protection plan can effectively solve the fire protection or not can be determined by using the current fire protection plan.
And S34, visually outputting the fire-fighting plan when the fire-fighting plan meets the current fire-fighting requirement, and reselecting an early warning strategy when the fire-fighting plan does not meet the current fire-fighting requirement.
It can be understood that when the fire protection plan meets the current fire protection requirement, that is, when the current fire protection plan can effectively solve fire disasters in a fire scene, visual image output can be performed, generally, visual images can be provided for a commander at a mobile terminal or a fixed terminal, a three-dimensional stereogram of a corresponding fire scene can be generated, the whole fire protection plan is subjected to three-dimensional stereolithography, the decision of fire commanders is further assisted, and the decision speed and the decision efficiency of mountain forest fire protection command are improved.
It should be understood that when the fire protection plan does not satisfy the current fire protection requirement, that is, the fire protection plan cannot effectively solve the fire at this time, a new fire protection early warning strategy can be selected from the fire protection strategy library at this time, and then the comparative analysis is performed again until the current fire protection requirement is satisfied.
According to the scheme, mountain forest fire scene information is obtained by monitoring the target area in real time, and whether a fire disaster happens in the target area is judged according to the mountain forest fire scene information; when a fire disaster in the target area is detected, acquiring actual measurement meteorological information and fire fighting configuration information of the fire scene in the target area; performing fire spread analysis on the fire scene according to the actual measurement meteorological information of the fire scene and the fire protection configuration information to obtain an analysis result, and determining whether the fire protection plan meets the current fire protection requirement according to the analysis result; the method comprises the steps of visually outputting the fire protection plan when the fire protection plan meets the current fire protection requirement, reselecting an early warning strategy when the fire protection plan does not meet the current fire protection requirement, verifying the feasibility of the fire protection plan at the first time when a fire disaster occurs, visualizing the scene of the fire protection plan, effectively assisting fire commanders in making decisions, and further improving the speed and efficiency of mountain forest fire protection command decisions.
Further, fig. 5 is a schematic flow chart of a fifth embodiment of the mountain fire-fighting command decision method, and as shown in fig. 5, the fifth embodiment of the mountain fire-fighting command decision method is provided based on the fourth embodiment, in this embodiment, the step S33 specifically includes the following steps:
and step S331, obtaining a spread analysis model matched with the target area from the fire spread model library.
It should be noted that the fire spread model library stores spread analysis models corresponding to the target regions, and different regions correspond to different spread analysis models corresponding to different regions, and the different spread analysis models are stored in the fire spread model library.
And S332, inputting the actual measurement meteorological information and the fire fighting configuration information of the fire scene into the spreading analysis model to obtain an analysis result.
It can be understood that, after the actual measurement meteorological information and the fire fighting configuration information are input into the spreading analysis model, an analysis result after comprehensive evaluation analysis, that is, a result of whether the fire spreading trend of the fire scene can be effectively controlled, can be obtained.
And S333, when the analysis result shows that the fire spread is controllable, judging that the fire-fighting plan meets the current fire-fighting requirement.
It can be understood that, when the analysis result indicates that the fire spread is controllable, that is, it indicates that the fire in the fire scene of the current target area can be effectively controlled and solved, it may be determined that the fire protection plan satisfies the current fire protection requirement.
And step S334, when the analysis result shows that the fire spread is uncontrollable, judging that the fire-fighting plan does not meet the current fire-fighting requirement.
It should be understood that, when the analysis result is that the fire spread is uncontrollable, which indicates that the fire in the fire scene of the current target area cannot be effectively controlled and solved, the fire will continue to spread, and at this time, it may be determined that the fire protection plan does not meet the current fire protection requirement, and at this time, a new fire protection early warning strategy needs to be timely replaced.
According to the scheme, the embodiment obtains the spread analysis model matched with the target area from the fire spread model library; inputting the actual measurement meteorological information and the fire fighting configuration information of the fire scene into the spreading analysis model to obtain an analysis result; when the analysis result is that the fire spread is controllable, judging that the fire-fighting plan meets the current fire-fighting requirement; when the analysis result shows that the fire spreading is uncontrollable, the fire-fighting plan is judged to not meet the current fire-fighting requirement, whether the fire spreading trend can be solved can be accurately predicted, and therefore the fire-fighting early warning strategy is adjusted in time, the follow-up fire-fighting resource can be rapidly released, and the early warning efficiency and the effectiveness of fire-fighting command are improved.
Correspondingly, the invention further provides a mountain forest fire-fighting command decision system.
Referring to fig. 6, fig. 6 is a functional block diagram of a mountain fire-fighting command decision system according to a first embodiment of the present invention.
In a first embodiment of the mountain fire-fighting command decision system of the present invention, the mountain fire-fighting command decision system includes: a fire fighting decision module 10, a fire spread prediction model 20 and a visualization module 30; wherein the content of the first and second substances,
the fire fighting decision module is used for acquiring the fire occurrence probability of a target area and generating mountain forest primary early warning of the target area when the fire occurrence probability is greater than a preset early warning value;
the fire fighting decision module is further used for acquiring a target area fire fighting resource and a primary early warning strategy corresponding to the mountain forest primary early warning, and generating a fire fighting plan according to the target area fire fighting resource and the primary early warning strategy;
the fire spread prediction model is also used for monitoring the target area in real time and obtaining actual measurement meteorological information of a fire scene when a fire disaster occurs in the target area;
the fire fighting decision module is also used for determining whether the fire fighting plan meets the current fire fighting requirement according to the actual measurement meteorological information of the fire scene;
and the visualization module is used for visually outputting the fire-fighting plan when the fire-fighting plan meets the current fire-fighting requirement.
Further, the mountain forest fire-fighting command and decision system further comprises: a weather prediction module 40; wherein the content of the first and second substances,
the fire fighting decision module is also used for acquiring mountain forest fire fighting big data and generating a fire spread model library, a fire fighting strategy library, a fire fighting resource library and a geographic information library according to the mountain forest fire fighting big data;
the weather prediction module is also used for acquiring national weather forecast information;
the fire spread prediction model is also used for acquiring target geographic information of a target area from the geographic information base and judging the fire occurrence probability of the fire in the target area according to the national weather forecast information, the target geographic information and preset grades;
the fire fighting decision module is further configured to compare the fire occurrence probability with the preset early warning value, and generate a mountain forest primary early warning of the target area when the fire occurrence probability is greater than the preset early warning value.
The fire fighting decision module is further configured to retrieve a target area fire fighting resource corresponding to the target area from the fire fighting resource library, select a primary early warning strategy corresponding to the mountain forest primary early warning from the fire fighting strategy library, and generate a fire fighting plan according to the target area fire fighting resource and the primary early warning strategy.
The fire spreading prediction model is also used for monitoring the target area in real time, obtaining mountain forest fire scene information and judging whether the target area has a fire or not according to the mountain forest fire scene information;
the fire spread prediction model is further used for acquiring actual measurement meteorological information and fire fighting configuration information of the fire scene of the target area when the fire disaster of the target area is detected;
the fire spread prediction model is also used for carrying out fire spread analysis on the fire scene according to the actually measured meteorological information of the fire scene and the fire fighting configuration information to obtain an analysis result;
and the fire fighting decision module is also used for determining whether the fire fighting plan meets the current fire fighting requirement according to the analysis result, and reselecting the early warning strategy when the fire fighting plan does not meet the current fire fighting requirement.
The fire spread forecasting model is also used for acquiring a spread analysis model matched with the target region from the fire spread model library;
the fire spreading prediction model is also used for inputting the actual measurement meteorological information and the fire fighting configuration information of the fire scene into the spreading analysis model to obtain an analysis result;
the fire fighting decision module is also used for judging that the fire fighting plan meets the current fire fighting requirement when the analysis result is that the fire spreading is controllable;
and the fire fighting decision module is also used for judging that the fire fighting plan does not meet the current fire fighting requirement when the analysis result is that the fire spreading is uncontrollable.
The steps implemented by the functional modules of the mountain fire-fighting command decision system can refer to the embodiments of the mountain fire-fighting command decision method, and are not described herein again.
In a specific implementation, as shown in fig. 7, fig. 7 is a block diagram of a system composition of a mountain forest fire-fighting command decision system according to a second embodiment of the present invention, and referring to fig. 7, a fire spread model base, a fire-fighting strategy base, a fire-fighting resource base, and a geographic information base are generated according to mountain forest fire-fighting big data; the geographic information base is used for storing detailed geographic information of a target area, and the detailed geographic information comprises information related to fire fighting, such as terrain, roads, water sources, vegetation and the like; the fire fighting resource library is used for storing fire fighting resource information of a target area; the fire-fighting strategy library is used for storing fire-fighting plans and strategies of the target area; the fire spread model library is used for providing a plurality of fire spread analysis models and supporting selection according to the characteristics of a target area; the fire scene actual measurement information can receive fire scene real-time acquisition information, including fire source points, fire areas, acquisition information of support early warning equipment, unmanned aerial vehicle scanning information and field acquisition information of firefighters; the real-time meteorological information collected in a fire scene can be obtained through meteorological collection and actual measurement, and the meteorological information comprises parameters such as direction, wind power, temperature and humidity; the weather forecast information corresponds to national weather forecast information, and the corresponding weather forecast information of the target area is transmitted to the fire spread prediction model as a parameter, so that an analysis result is output to the fire fighting decision module; the fire fighting decision module analyzes and evaluates whether the fire fighting strategies of the fire fighting strategy library are effective or not, so that the most appropriate fire fighting strategies are selected to assist in fire fighting command; the visualization module is used for realizing the visual output of the fire-fighting strategy, and the fire-fighting commander can make a decision conveniently through visual imaging output or three-dimensional display, so that the fire-fighting command efficiency is improved.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A mountain forest fire-fighting command decision method is characterized by comprising the following steps:
acquiring the fire occurrence probability of a target area, and generating mountain forest primary early warning of the target area when the fire occurrence probability is greater than a preset early warning value;
acquiring a target area fire fighting resource and a primary early warning strategy corresponding to the mountain forest primary early warning, and generating a fire fighting plan according to the target area fire fighting resource and the primary early warning strategy;
the target area is monitored in real time, actual measurement meteorological information of a fire scene is obtained when a fire disaster of the target area is detected, whether the fire fighting plan meets the current fire fighting requirement or not is determined according to the actual measurement meteorological information of the fire scene, and the fire fighting plan is visually output when the fire fighting plan meets the current fire fighting requirement.
2. The mountain forest fire control command decision method according to claim 1, wherein the obtaining of the probability of occurrence of a fire in a target area and the generating of the mountain forest primary warning in the target area when the probability of occurrence of the fire is greater than a preset warning value comprises:
acquiring mountain forest fire protection big data, and generating a fire spread model library, a fire protection strategy library, a fire protection resource library and a geographic information library according to the mountain forest fire protection big data;
acquiring national weather forecast information through the weather measurement module, and acquiring target geographic information of a target area from the geographic information base;
judging the fire occurrence probability of the fire in the target area according to the national weather forecast information, the target geographic information and the preset grades;
and comparing the fire occurrence probability with the preset early warning value, and generating the mountain forest primary early warning of the target area when the fire occurrence probability is greater than the preset early warning value.
3. The mountain forest fire fighting command decision method according to claim 2, wherein the obtaining of the target area fire fighting resources and the primary early warning strategy corresponding to the mountain forest primary early warning and the generating of the fire fighting plan according to the target area fire fighting resources and the primary early warning strategy comprises:
and calling a target area fire-fighting resource corresponding to the target area from the fire-fighting resource library, selecting a primary early-warning strategy corresponding to the mountain forest primary early-warning from the fire-fighting strategy library, and generating a fire-fighting plan according to the target area fire-fighting resource and the primary early-warning strategy.
4. The mountain fire control command decision method of claim 3, wherein the monitoring the target area in real time, obtaining actual measurement weather information of a fire scene when a fire in the target area is detected, determining whether the fire protection plan meets the current fire protection requirement according to the actual measurement weather information of the fire scene, and visually outputting the fire protection plan when the fire protection plan meets the current fire protection requirement comprises:
monitoring the target area in real time, obtaining mountain forest fire scene information, and judging whether the target area has a fire or not according to the mountain forest fire scene information;
when a fire disaster in the target area is detected, acquiring actual measurement meteorological information and fire fighting configuration information of the fire scene in the target area;
performing fire spread analysis on the fire scene according to the actual measurement meteorological information of the fire scene and the fire protection configuration information to obtain an analysis result, and determining whether the fire protection plan meets the current fire protection requirement according to the analysis result;
and visually outputting the fire-fighting plan when the fire-fighting plan meets the current fire-fighting requirement, and reselecting an early warning strategy when the fire-fighting plan does not meet the current fire-fighting requirement.
5. The mountain fire control commander decision method according to claim 4, wherein said performing fire spread analysis on the fire scene according to the actual measurement meteorological information and the fire configuration information to obtain an analysis result, and determining whether the fire protection plan meets the current fire protection requirement according to the analysis result comprises:
acquiring a spread analysis model matched with the target region from the fire spread model library;
inputting the actual measurement meteorological information and the fire fighting configuration information of the fire scene into the spreading analysis model to obtain an analysis result;
when the analysis result is that the fire spread is controllable, judging that the fire-fighting plan meets the current fire-fighting requirement;
and when the analysis result is that the fire spreading is uncontrollable, judging that the fire-fighting plan does not meet the current fire-fighting requirement.
6. A mountain forest fire control command decision system, characterized in that, mountain forest fire control command decision system includes: the fire-fighting decision-making module, the fire spread prediction model and the visualization module; wherein the content of the first and second substances,
the fire fighting decision module is used for acquiring the fire occurrence probability of a target area and generating mountain forest primary early warning of the target area when the fire occurrence probability is greater than a preset early warning value;
the fire fighting decision module is further used for acquiring a target area fire fighting resource and a primary early warning strategy corresponding to the mountain forest primary early warning, and generating a fire fighting plan according to the target area fire fighting resource and the primary early warning strategy;
the fire spread prediction model is also used for monitoring the target area in real time and obtaining actual measurement meteorological information of a fire scene when a fire disaster occurs in the target area;
the fire fighting decision module is also used for determining whether the fire fighting plan meets the current fire fighting requirement according to the actual measurement meteorological information of the fire scene;
and the visualization module is used for visually outputting the fire-fighting plan when the fire-fighting plan meets the current fire-fighting requirement.
7. The mountain fire commander decision system of claim 6, further comprising: a weather prediction module; wherein the content of the first and second substances,
the fire fighting decision module is also used for acquiring mountain forest fire fighting big data and generating a fire spread model library, a fire fighting strategy library, a fire fighting resource library and a geographic information library according to the mountain forest fire fighting big data;
the weather prediction module is also used for acquiring national weather forecast information;
the fire spread prediction model is also used for acquiring target geographic information of a target area from the geographic information base and judging the fire occurrence probability of the fire in the target area according to the national weather forecast information, the target geographic information and preset grades;
the fire fighting decision module is further configured to compare the fire occurrence probability with the preset early warning value, and generate a mountain forest primary early warning of the target area when the fire occurrence probability is greater than the preset early warning value.
8. The mountain forest fire fighting command decision system according to claim 7, wherein the fire fighting decision module is further configured to retrieve a target area fire fighting resource corresponding to the target area from the fire fighting resource repository, select a primary early warning policy corresponding to the mountain forest primary early warning from the fire fighting policy repository, and generate a fire fighting plan according to the target area fire fighting resource and the primary early warning policy.
9. The mountain forest fire control commanding and deciding system as claimed in claim 8, wherein the fire spread prediction model is further used for monitoring the target area in real time, obtaining mountain forest fire field information, and judging whether the target area is in fire according to the mountain forest fire field information;
the fire spread prediction model is further used for acquiring actual measurement meteorological information and fire fighting configuration information of the fire scene of the target area when the fire disaster of the target area is detected;
the fire spread prediction model is also used for carrying out fire spread analysis on the fire scene according to the actually measured meteorological information of the fire scene and the fire fighting configuration information to obtain an analysis result;
and the fire fighting decision module is also used for determining whether the fire fighting plan meets the current fire fighting requirement according to the analysis result, and reselecting the early warning strategy when the fire fighting plan does not meet the current fire fighting requirement.
10. The mountain fire control commander decision system of claim 9, wherein the fire spread prediction model is further configured to obtain a spread analysis model matching the target area from the fire spread model library;
the fire spreading prediction model is also used for inputting the actual measurement meteorological information and the fire fighting configuration information of the fire scene into the spreading analysis model to obtain an analysis result;
the fire fighting decision module is also used for judging that the fire fighting plan meets the current fire fighting requirement when the analysis result is that the fire spreading is controllable;
and the fire fighting decision module is also used for judging that the fire fighting plan does not meet the current fire fighting requirement when the analysis result is that the fire spreading is uncontrollable.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111341159.6A CN114091743A (en) | 2021-11-12 | 2021-11-12 | Mountain forest fire-fighting command decision method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111341159.6A CN114091743A (en) | 2021-11-12 | 2021-11-12 | Mountain forest fire-fighting command decision method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114091743A true CN114091743A (en) | 2022-02-25 |
Family
ID=80300430
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111341159.6A Pending CN114091743A (en) | 2021-11-12 | 2021-11-12 | Mountain forest fire-fighting command decision method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114091743A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115619609A (en) * | 2022-09-27 | 2023-01-17 | 无锡布塔信息科技有限公司 | Fire fighting warning method and system based on three-dimensional visual data |
| CN116308213A (en) * | 2023-05-11 | 2023-06-23 | 河北履中科技有限公司 | Urban digital emergency integrated platform |
-
2021
- 2021-11-12 CN CN202111341159.6A patent/CN114091743A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115619609A (en) * | 2022-09-27 | 2023-01-17 | 无锡布塔信息科技有限公司 | Fire fighting warning method and system based on three-dimensional visual data |
| CN115619609B (en) * | 2022-09-27 | 2024-02-27 | 无锡布塔信息科技有限公司 | Fire-fighting warning method and system based on three-dimensional visual data |
| CN116308213A (en) * | 2023-05-11 | 2023-06-23 | 河北履中科技有限公司 | Urban digital emergency integrated platform |
| CN116308213B (en) * | 2023-05-11 | 2023-08-15 | 河北履中科技有限公司 | Urban digital emergency integrated platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112530119B (en) | Forest fire emergency drilling evaluation and analysis system and method and computer equipment | |
| CN114091743A (en) | Mountain forest fire-fighting command decision method and system | |
| CN103456136B (en) | Internet of Things framework type system for monitoring and early warning of major accident potential safety hazards of water conservancy and hydropower project | |
| KR101675733B1 (en) | Nuclear power plant accident integrated action system | |
| CN112766909A (en) | Intelligent management and control system and method suitable for ship fire safety and computer medium | |
| CN110390789A (en) | Forest fire protection data analysis system based on big data | |
| CN116739245B (en) | Intelligent fire-fighting city alarm receiving and scheduling system | |
| CN112927461B (en) | Early warning decision method and device for charging pile of new energy automobile | |
| Vazquez et al. | Wildfire mitigation plans in power systems: A literature review | |
| CN115880598B (en) | Ground image detection method and related device based on unmanned aerial vehicle | |
| CN110826930A (en) | Security task scheduling method, device, equipment and readable storage medium | |
| CN112464813A (en) | Method and device for monitoring mountain fire | |
| CN115526372A (en) | Emergency response dispatching command system | |
| CN115393566A (en) | Fault identification and early warning method and device for power equipment, storage medium and equipment | |
| KR102414734B1 (en) | Apparatus and method for generating disaster notification message, method for providing disaster information using the same | |
| Reis et al. | Network management by smartphones sensors thresholds in an integrated control system for hazardous materials transportation | |
| CN112590590A (en) | Charging pile automatic fire extinguishing method and system and storage medium | |
| Aliyari et al. | Drone-based bridge inspection in harsh operating environment: Risks and safeguards | |
| CN117180687A (en) | Intelligent fire-fighting remote monitoring system and method | |
| CN116523492A (en) | Hydropower station supervision method and system, electronic equipment and storage medium | |
| Esen et al. | Validation of automated valet parking | |
| CN111583744B (en) | Virtual reality-based molten metal operation accident rehearsing method and system | |
| CN114445041A (en) | Method and system for emergency treatment of in-transit accidents of hazardous chemical substances | |
| CN113793480A (en) | Geological disaster monitoring and early warning method and system | |
| CN109818351B (en) | Meteorological power data comprehensive management method and system |
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 |