CN108806158A - A kind of forest fire detection rescue system based on cloud computing - Google Patents
A kind of forest fire detection rescue system based on cloud computing Download PDFInfo
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- CN108806158A CN108806158A CN201810605414.5A CN201810605414A CN108806158A CN 108806158 A CN108806158 A CN 108806158A CN 201810605414 A CN201810605414 A CN 201810605414A CN 108806158 A CN108806158 A CN 108806158A
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- 238000001514 detection method Methods 0.000 title claims abstract description 60
- 238000004458 analytical method Methods 0.000 claims description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 9
- 239000000779 smoke Substances 0.000 claims description 8
- 208000008589 Obesity Diseases 0.000 claims description 7
- 235000008935 nutritious Nutrition 0.000 claims description 7
- 235000020824 obesity Nutrition 0.000 claims description 7
- 230000002265 prevention Effects 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 7
- 230000001629 suppression Effects 0.000 claims description 7
- 230000001535 kindling effect Effects 0.000 claims description 6
- 239000000463 material Substances 0.000 claims description 6
- 239000002689 soil Substances 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 6
- 230000006399 behavior Effects 0.000 claims description 4
- 238000000034 method Methods 0.000 claims description 4
- 235000016709 nutrition Nutrition 0.000 claims description 4
- 238000011084 recovery Methods 0.000 claims description 4
- 230000005855 radiation Effects 0.000 claims description 3
- 239000000126 substance Substances 0.000 claims description 3
- 239000003086 colorant Substances 0.000 claims 1
- 239000004744 fabric Substances 0.000 claims 1
- 239000007921 spray Substances 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 4
- 230000006378 damage Effects 0.000 description 2
- 238000004887 air purification Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000034994 death Effects 0.000 description 1
- 231100000517 death Toxicity 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
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- 238000003672 processing method Methods 0.000 description 1
Classifications
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- 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
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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Abstract
The invention discloses a kind of, and the forest fire based on cloud computing detects rescue system, including fire detection unit, calculate analytic unit, rescue unit, planning unit and warning unit, the fire detection unit is for passing through air, object temperature detects the probability of forest fire generation with intake image, it is described to calculate analytic unit for the data by detection to analyze the condition of a disaster of fire, carry out the demand of grade classification and rescue, the rescue unit is used to carry out the rescue of fire and personnel by rescue aid or personnel, the planning unit is planned after the regional planning and calamity for forest, the warning unit is used to alert user forest and the possibility of fire occurs and the danger classes of fire after fire occurs；The present invention carrys out the possibility of the effective detection forest fire generation of intelligence by the setting of said units, is effectively rescued personnel and forest after fire occurs, and preserves the ecological environment and increases safety.
Description
Technical field
The present invention relates to technical field of security and protection, and in particular to a kind of forest fire detection rescue system based on cloud computing.
Background technology
Forest has the function of air purification, fixing of soil and conservation of water, maintains the ecological balance, provides resources of production.Every year, global meeting
A certain number of forest fires occur.Forest fire has the characteristics that sudden, the uncertain, short time causes huge breaking-up,
The forest fire of large area is often caused by unconspicuous hidden fire.
Initially, the mankind use Jian sightseeing towers, the mode early warning forest fire of Yong Ren Gong lookouts, this mode that can only find
Larger forest fires；Later, it was cruised in the air expensive using aerial cruise early warning the forest zone of high forest fire danger class, in addition
Cruise climate, factors are affected round the clock etc., cannot take on monitoring task within 7 × 24 hours, due to being cruised in the air away from earth's surface
Distance is remote, and also the same is difficult to find hidden fire or small fire；Currently, some big forest zones of China generally use satellite monitoring, but
Satellite is far from earth surface and fire behavior generation area, to the resolution ratio of temperature usually only in 1000 square meters or so, it is difficult to find
It is possible that causing the hidden fire and small fire of forest fire；In recent years, the video frequency monitoring system that many forest zones in China are mounted with is used for more
Mend the deficiencies of the means in forest fires early warning such as artificial loud and clear prestige, aerial cruise, satellite monitoring.This system, according to the geography in forest zone
Forest zone is divided into different monitoring areas by feature, in the part high point of each monitoring area, is arranged monitoring point, usual one
Point can monitor 90,000 mu or so of forest range.
Present system cannot detect the generation of fire well, and people cannot be effectively rescued when fire occurs
Member helps forest effectively to restore ecology after fire.
Invention content
Goal of the invention：
After cannot effectively finding fire, rescue trapped person the present invention be directed to present fire detection rescue system and restore calamity
A kind of forest fire detection rescue system based on cloud computing that the problem of forest is proposed, can effectively find fire, rescue
It helps trapped person and restores forest after calamity, reduce the loss of forest fire.
Technical solution：
A kind of forest fire detection rescue system based on cloud computing, including fire detection unit, calculating analytic unit, rescue list
Member, planning unit and warning unit, the fire detection unit are used for gloomy to detect by air, object temperature and intake image
The probability that forest fires calamity occurs；It is described to calculate analytic unit for the data by detection to analyze the condition of a disaster of fire, carry out grade
The demand for dividing and rescuing；The rescue unit is used to carry out the rescue of fire and personnel by rescue aid or personnel；Institute
It is planned after stating regional planning and calamity of the planning unit for forest；The warning unit is used to alert user forest and fire occurs
Possibility and the danger classes that fire after fire occurs.
Further, the fire detection unit includes nutritious obesity module, ignition point detection module, Smoke Detection mould
Block, wind direction module and taking module, the nutritious obesity module are used to detect the dense degree of cloud layer and obtain weather condition；Institute
Ignition point of the ignition point detection module for storing various substances in forest is stated, and body surface temperature is obtained by infrared radiation
Degree；The Smoke Detection module is used to obtain the content and concentration of smog in forest；The wind direction module is for judging wind speed, wind
Size and Orientation；The taking module for obtaining situation everywhere in forest in real time, by the camera of forest everywhere and
Random unmanned plane shooting.
Further, the calculating analytic unit includes memory module and cloud computing module, and the memory module is for depositing
It stores up the fire detection unit, rescue unit, the information of planning unit and obtains forest is on fire in network reason and storage；Institute
Feelings after stating probability that cloud computing module is occurred by the information of the memory module come comprehensive descision fire and fire occurring
Condition is divided into several grades, passes through restoration methods after the different rescue mode of information calculating analysis, route and calamity.
Further, the rescue unit includes GPS module, fire suppression module and calling module, and the GPS module is for obtaining
The real-time routes in forest are taken to be distributed and position the position in different rescue places；The fire suppression module includes sparge pipe and water storage
Case, for when rudimentary fire occurs self carry out put out a fire；The calling module is used for calling party and rescue personnel, passes through
The calling set of forest is dispersed in provide location information.
Further, forest is divided into several pieces by the planning unit by fire-blocking belt, and is divided by described calculate
It analyses unit and plans recovering step after forest calamity, carried out by disaster area, Disaster degree, local situation and soil nutritional profile
Analysis.
Further, the warning unit includes multiple display panels, is shown according to the danger classes of fire behavior different
Color.
Further, the forest fire detection rescue system is additionally provided with recording unit, for recording the piece forest fire
A situation arises and recovery situation.
Further, the forest fire detection rescue system is additionally provided with prevention unit, increases people by poster to remind
Awareness of the importance of fire prevention, the detection of kindling material detection device come in and go out forest the person on the kindling material that carries pass through to reduce artificial fire
Periodically the reasonable of pickup optically focused article, battery and dry season is sprayed water to reduce natural fire.
Further, the forest fire detection rescue system is additionally provided with unit, for fire post analysis to occur
The front and back information obtained occurs for fire, judges fire processing, supplies shortcoming.
The present invention realizes following advantageous effect：
1. the present invention accurately detects fire by fire detection unit to detect cloud layer, ignition point, smog and wind direction
Possibility, plan best processing method after fire occurs by calculating analytic unit, can effectively increase forest
The green resource of safety and protection country.
2. the present invention rescues trapped personnel after fire occurs by rescue unit and warning unit, using not
With the warning of color remind trapped person's fire hazard rating, fire is carried out by preventing unit and unit pre-
Anti- and increase awareness of the importance of fire prevention can effectively reduce harm caused by forest fire and reduce the injures and deaths of personnel.
Description of the drawings
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and consistent with the instructions for explaining the principles of this disclosure.
Fig. 1 is that forest fire of the present invention detects rescue system structure diagram；
Fig. 2 is the fire detection cellular construction block diagram of one embodiment of the invention；
Fig. 3 is the calculating analytic unit structure diagram of one embodiment of the invention；
Fig. 4 is the rescue unit structure diagram of one embodiment of the invention.
Reference numeral：
Fire detection unit 010；Calculate analytic unit 020；Rescue unit 030；Planning unit 040；Warning unit 050；Record
Unit 060；Prevent unit 070；Unit 080；Nutritious obesity module 011；Ignition point detection module 012；Smoke Detection mould
Block 013；Wind direction module 014；Taking module 015；Storage module 021；Cloud computing module 022；GPS module 031；Fire suppression module
032；Calling module 033.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Referring to Fig. 1-4, the present invention provides a kind of technical solution, a kind of forest fire detection rescue system based on cloud computing
System, including fire detection unit 010, calculating analytic unit 020, rescue unit 030, planning unit 040 and warning unit 050,
It is characterized in that：The fire detection unit 010 is used to detect forest fire hair by air, object temperature and intake image
Raw probability, by acquiring information to the concrete condition of monitoring forest in real time, the possibility that fire is occurred is reduced, and will be obtained
Information be sent to calculate analytic unit 020；It is described to calculate analytic unit 020 for the data by detection to analyze fire
The condition of a disaster carries out the demand of grade classification and rescue, the probability of fire, the direction of sprawling and rescue is calculated by the information of reception
Planning；The rescue unit 030 is used to carry out the rescue of fire and personnel by rescue aid or personnel；The planning is single
Member 040 plans that information is compared before and after obtaining forest fire, obtains best planning after the regional planning and calamity for forest
Content；The warning unit 050 is used to alert user forest and the possibility of fire occurs and the danger etc. of fire after fire occurs
Grade, personnel are reminded by color and the sound of warning.
Wherein, the fire detection unit 010 includes nutritious obesity module 011, ignition point detection module 012, smog inspection
Module 013, wind direction module 014 and taking module 015 are surveyed, the nutritious obesity module 011 is used to detect the dense degree of cloud layer
Judging the possibility of fire generation with weather condition, acquisition temperature and rainfall probability is obtained, rainfall probability is big, and cloud layer is intensive,
Temperature is low, and the probability that fire occurs is small；The ignition point detection module 012 is used to store the ignition point of various substances in forest,
And body surface temperature is obtained by infrared radiation, fire is judged by the different body surface temperature of random detection
Probability, it is more accurate using the comparison of ignition point, counted by the rate of body surface temperature rise and the temperature of ignition point
Possibility and the time for reaching ignition point are calculated, the judgement of forest fire is carried out；The Smoke Detection module 013 is for obtaining forest
The content and concentration of middle smog, are measured by the smoke detector put at random, smog content and concentration in certain area
The alarm of fire is carried out when more than preset value, putting for the smoke detector is according to flow of the people, trees dense degree and object
The abundant degree of money is placed；The wind direction module 014 is used to judge the size and Orientation of wind speed, wind；The taking module
015 for obtaining situation everywhere in forest in real time, is shot by forest camera everywhere and random unmanned plane.
Wherein, the calculating analytic unit 020 includes memory module and cloud computing module 022, and the memory module is used for
It stores the fire detection unit 010, rescue unit 030, the information of planning unit 040 and obtains the original that forest is on fire in network
Cause simultaneously stores；Probability that the cloud computing module 022 is occurred by the information of the storage module 021 come comprehensive descision fire and
Fire is divided into several grades there is a situation where after, is calculated by information extensive after analyzing different rescue modes, route and calamity
Compound method is judged the probability of fire generation using the information of the fire detection unit 010, passes through the data searched in network
The region that fire easily occurs is monitored, after fire generation, fire judged by wind direction module 014, taking module 015
The sprawling situation and danger classes of calamity, by obtaining water source in forest, field and rescuing the position in place come to neighbouring people
Member is rescued, and measures nutritional ingredient, disaster area and the Disaster degree in soil to plan that recovery plan, selection are easy to endemic species
The plant of plant is planted, and the adjustment of plant is carried out by observing plant strain growth situation and soil nutrient content.
Wherein, the rescue unit 030 includes GPS module 031, fire suppression module 032 and calling module 033, the GPS moulds
Block 031 is used to obtain the real-time routes distribution in forest and positions the positions in different rescue places, and the prompt of pass course is helped
Trapped person and rescue personnel is helped most to flee from and reach soon scene, the rescue place provides the vehicles, fire distinguisher and hair
Rescue signal is sent, the rescue place is close to water source or is located at open space；The fire suppression module 032 includes sparge pipe and storage
Water tank, for when rudimentary fire occurs self carry out put out a fire, different journeys are carried out to fire by the differentiation of fire size class
The processing of degree, the processing for nearby thering is extinguishing device just to put out a fire when fire has just occurred or will occur and scene
Shooting, upload, wait for staff carry out confirmation processing；The calling module 033 is used for calling party and rescue personnel, leads to
It crosses and is dispersed in the calling set of forest to provide location information, the calling set is periodically detected.
Wherein, forest is divided into several pieces by the planning unit 040 by fire-blocking belt, and is analyzed by the calculating
Unit 020 plans recovering step after forest calamity, by disaster area, Disaster degree, local situation and soil nutritional profile come into
Row analysis recommends the plant for being easy to plantation, and observes disaster-stricken land restoration situation.
Wherein, the warning unit 050 includes multiple display panels, and different face is shown according to the danger classes of fire behavior
Low Alert has just occurred or will occur as color, and the display color table of comparisons, fire, and fire is controllable to intermediate police after occurring
Report, uncontrollable fire is high level alarm.
Wherein, the forest fire detection rescue system is additionally provided with recording unit 060, for recording piece forest fire hair
Raw situation and recovery situation the reason of by recording and analyzing fire, carry out more further during prevention for the reason
Detection.
Wherein, the forest fire detection rescue system, which is additionally provided with, prevents unit 070, increases people by poster to remind
Awareness of the importance of fire prevention, the detection of kindling material detection device come in and go out forest the person on the kindling material that carries, to reduce artificial fire, by fixed
Phase pickup optically focused article, battery and the reasonable of dry season are sprayed water to reduce natural fire.
Wherein, the forest fire detection rescue system is additionally provided with unit 080, for fire post analysis fire to occur
The front and back information obtained occurs for calamity, judges fire processing, supplies shortcoming, by counting loss after calamity and
Analysis entirely should to process judge, the standard of judge is the extent of damage, casualties and processing time.
The above embodiments merely illustrate the technical concept and features of the present invention, and the purpose is to allow the skill for being familiar with the technical field
Art personnel can understand the content of the present invention and implement it accordingly, and can not be limited the scope of the invention with this.All bases
Equivalent changes or modifications made by spirit of the invention, should be covered by the protection scope of the present invention.
Claims (9)
1. a kind of forest fire based on cloud computing detects rescue system, including fire detection unit, calculating analytic unit, rescue
Unit, planning unit and warning unit, it is characterised in that：The fire detection unit is used for through air, object temperature and takes the photograph
Image is taken to detect the probability of forest fire generation；It is described to calculate analytic unit for the data by detection to analyze fire
The condition of a disaster carries out the demand of grade classification and rescue；The rescue unit be used for by rescue aid or personnel carry out fire and
The rescue of personnel；The planning unit is planned after the regional planning and calamity for forest；The warning unit is for alerting user
Forest occurs the possibility of fire and the danger classes of fire after fire occurs.
2. a kind of forest fire based on cloud computing according to claim 1 detects rescue system, it is characterised in that：It is described
Fire detection unit includes nutritious obesity module, ignition point detection module, Smoke Detection module, wind direction module and taking module,
The nutritious obesity module is used to detect the dense degree of cloud layer and obtains weather condition；The ignition point detection module is for storing up
The ignition point of various substances in forest is deposited, and body surface temperature is obtained by infrared radiation；The Smoke Detection module is used
In the content and concentration that obtain smog in forest；The wind direction module is used to judge the size and Orientation of wind speed, wind；The shooting
Module is shot for obtaining situation everywhere in forest in real time by forest camera everywhere and random unmanned plane.
3. a kind of forest fire based on cloud computing according to claim 1 detects rescue system, it is characterised in that：It is described
It includes memory module and cloud computing module to calculate analytic unit, and the memory module is for storing the fire detection unit, rescuing
Help unit, planning unit information and obtain forest reason on fire and storage in network；The cloud computing module passes through described
The information of memory module carrys out the probability of comprehensive descision fire generation and fire is divided into several grades there is a situation where after, passes through
Restoration methods after the different rescue mode of information calculating analysis, route and calamity.
4. a kind of forest fire based on cloud computing according to claim 1 detects rescue system, it is characterised in that：It is described
Rescue unit includes GPS module, fire suppression module and calling module, and the GPS module is used to obtain the real-time routes point in forest
The position in cloth rescue place different with positioning；The fire suppression module includes sparge pipe and water tank, for rudimentary fire to occur
When self carry out put out a fire；The calling module be used for calling party and rescue personnel, by be dispersed in the calling set of forest come
Location information is provided.
5. a kind of forest fire based on cloud computing according to claim 1 detects rescue system, it is characterised in that：It is described
Forest is divided into several pieces by planning unit by fire-blocking belt, and is restored after planning forest calamity by the calculating analytic unit
Step is analyzed by disaster area, Disaster degree, local situation and soil nutritional profile.
6. a kind of forest fire based on cloud computing according to claim 1 detects rescue system, it is characterised in that：It is described
Warning unit includes multiple display panels, and different colors is shown according to the danger classes of fire behavior.
7. a kind of forest fire based on cloud computing according to claim 1 detects rescue system, it is characterised in that：It is described
Forest fire detection rescue system is additionally provided with recording unit, and for recording the piece forest fire, a situation arises and recovery situation.
8. a kind of forest fire based on cloud computing according to claim 1 detects rescue system, it is characterised in that：It is described
Forest fire detection rescue system is additionally provided with prevention unit, and the awareness of the importance of fire prevention for increasing people, kindling material detection are reminded by poster
The kindling material carried on the person of device detection discrepancy forest, to reduce artificial fire, by periodically picking up optically focused article, battery
Natural fire is reduced with the reasonable water spray of dry season.
9. a kind of forest fire based on cloud computing according to claim 1 detects rescue system, it is characterised in that：It is described
Forest fire detection rescue system is additionally provided with unit, the letter for being obtained before and after fire post analysis fire occurs and occurs
Breath is judged fire processing, is supplied shortcoming.
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| CN109686029A (en) * | 2019-02-21 | 2019-04-26 | 安徽鸿延传感信息有限公司 | One kind managing platform for four chromatic graph of enterprise security fence risk stratification |
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