CN108765836A - A kind of forest fire early-warning system based on wireless sensor network - Google Patents
A kind of forest fire early-warning system based on wireless sensor network Download PDFInfo
- Publication number
- CN108765836A CN108765836A CN201810497270.6A CN201810497270A CN108765836A CN 108765836 A CN108765836 A CN 108765836A CN 201810497270 A CN201810497270 A CN 201810497270A CN 108765836 A CN108765836 A CN 108765836A
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
Abstract
The present invention provides a kind of forest fire early-warning system based on wireless sensor network, which includes：Wireless sensor network, for acquiring the environmental impact factor data in forest；Data processing module is handled for the data to acquisition, generates the situation information that can describe forest fire situation；Fire prediction module, for according to obtained situation information, fire risk occurring to forest and predicts, and determines corresponding level of building fire risk；Alarm module, for being alarmed accordingly according to obtained level of building fire risk.The present invention can efficiently and effectively predict the development trend in forest fire future by wireless sensor network, accomplish the division of the timely and accurately early warning to forest fire and level of building fire risk, be conducive to staff and take corresponding defensive measure in time.
Description
Technical field
The present invention relates to wireless sensor application fields, and in particular to a kind of Forest Fire Alarm based on wireless sensor
System.
Background technology
Forest fire is one of the most important natural calamity that the mankind are faced.Forest is the precious resources of the mankind, and
The guarantee of agricultural production and people's lives.The generation of forest fire leads to the destruction of the forest reserves and ecological environment, it tends to be difficult to
It puts out a fire to save life and property, causes huge loss.Therefore, direct monitoring is done to forest fire, accomplishes to prevent trouble before it happens, can preferably carry out
The prevention of forest fire, the decision puted out a fire to save life and property.Currently, the domestic fire monitoring measure traditional to forest mainly has, manually patrols, regards
Frequency observation, aircraft patrol and satellite remote sensing etc., but it acquires dispersion, inaccurate etc. there are time-consuming and laborious, of high cost, data and lacks
Point, it is difficult to accurate comprehensive monitoring and prediction fire.
Invention content
In view of the above-mentioned problems, the present invention is intended to provide a kind of forest fire early-warning system based on wireless sensor.
The purpose of the present invention is realized using following technical scheme：
A kind of forest fire early-warning system based on wireless sensor network, the early warning system include：
Wireless sensor network, for acquiring the environmental impact factor data in forest；
Data processing module is handled for the data to acquisition, generates the situation information that can describe forest fire；
Fire prediction module, for according to obtained situation information, fire risk occurring to forest and predicts, and determines
Corresponding level of building fire risk；
Alarm module, for being alarmed accordingly according to obtained level of building fire risk.
Advantageous effect：The present invention provides a kind of forest fire early-warning system based on wireless sensor network, the systems
The environmental impact factor data in forest can be obtained in real time by wireless sensor network, realize the prison to entire forest
Control.Moreover the occurrence tendency of forest fire more effectively can also be rapidly predicted by wireless sensor network, accomplish timely standard
Really to the division of the early warning of forest fire and level of building fire risk, is conducive to staff and corresponding defence is taken to arrange in time
It applies.
Description of the drawings
Using attached drawing, the invention will be further described, but the embodiment in attached drawing does not constitute any limit to the present invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the principle of the present invention figure；
Fig. 2 is the frame construction drawing of fire prediction module 300 of the present invention；
Fig. 3 is the frame construction drawing of fire risk assessment unit 310 of the present invention.
Reference numeral：
Wireless sensor network 100；Data processing module 200；Fire prediction module 300；Alarm module 400；Fire wind
Dangerous assessment unit 310；Fire risk predicting unit 320；Fire size class confirmation unit 330；Situation information assesses subelement 311；
Risk assessment subelement 312；Risk integrative assessment subelement 313.
Specific implementation mode
In conjunction with following application scenarios, the invention will be further described.
Referring to Fig. 1, a kind of forest fire early-warning system based on wireless sensor network, which includes：
Wireless sensor network 100, for acquiring the environmental impact factor data in forest；
Data processing module 200 is handled for the data to acquisition, generates the situation letter that can describe forest fire
Breath；
Fire prediction module 300, for according to obtained situation information, fire risk occurring to forest and predicts, and
Determine corresponding level of building fire risk；
Alarm module 400, for being alarmed accordingly according to obtained level of building fire risk.
Advantageous effect：The present invention provides a kind of forest fire early-warning system based on wireless sensor network, the systems
The environmental impact factor data in forest can be obtained in real time by wireless sensor network, realize the prison to entire forest
Control.Moreover the occurrence tendency of forest fire more effectively can also be rapidly predicted by wireless sensor network, accomplish timely standard
Really to the division of the early warning of forest fire and level of building fire risk, is conducive to staff and corresponding defence is taken to arrange in time
It applies.
In one embodiment, wireless sensor network 100 by several wireless sensors for being deployed in forest with
ZigBee wireless networking modes form.
In one embodiment, environmental impact factor include temperature, relative humidity, rainfall, soil moisture, humidity,
Wind speed and air pressure.
In one embodiment, the data of acquisition are handled, generates the situation that can describe forest fire situation
Information, in particular to de-redundant is carried out to the environmental impact factor data of acquisition and cleaning, a stepping row format of going forward side by side are uniformly processed,
Obtain the situation information for describing forest fire situation.
Advantageous effect：The present invention in the above-described embodiment, carries out at de-redundant, cleaning and format conversion the data of acquisition
Reason, the way can effectively reduce data dimension, and the situation information of description forest fire is removed with little data, reduces follow-up work
The complexity of work improves the working efficiency of follow-up Forest Fire Alarm.
In one embodiment, referring to Fig. 2, fire prediction module 300 includes：
Fire risk assessment unit 310 is used for the situation information of the forest fire according to acquisition, and fire wind occurs to forest
It is assessed danger；
Fire risk predicting unit 320, the historical data for fire to occur according to assessment result and forest, sends out forest
The future trend for calamity of lighting a fire is predicted；
Fire size class confirmation unit 330 divides fire wind for the prediction result according to fire risk predicting unit 320
Dangerous grade.
Advantageous effect：The present invention in the above-described embodiment, by establishing fire prediction module 300, assesses current forest
The value-at-risk of fire occurs, and then realizes the real time monitoring to the forest, while further to forest fire occurs for the module
Future trend is predicted that contributing to system to understand forest in time, the possibility of fire may occur in future time instance, contribute to
It when fire occurs, can adopt an effective measure, reduce the loss that forest fire is brought, while also saving manpower and materials.
In one embodiment, referring to Fig. 3, fire risk assessment unit 310 includes that situation information assesses subelement
311, risk assessment subelement 312 and risk integrative assessment subelement 313.
Situation information assesses subelement 311, is used for the situation information of the forest fire according to acquisition, calculates separately forest
The probability value of fire occurs in one region, wherein region ΩiThe interior computational methods of probability value that fire occurs are：
(1) forest Ω is divided into N number of size is identical, regions of non-overlapping copies, wherein Ω={ Ω1,
Ω2,…,Ωi,…,ΩN}；
(2) following probability function is utilized, is calculated in t moment, region ΩiThe interior probability value that fire occurs：
In formula, P (Ωi, t) and it is the region Ω in t momentiThe interior probability value that fire occurs, xm(Ωi, t) and it is in t moment
When, m-th of situation information is to region ΩiThe interior influence degree value that fire occurs, Υm(Ωi, t) and it is the region Ω in t momenti
Interior m-th of situation information weighted value shared when forest fire occurs, M are the numbers for the situation information for describing forest fire,It is region ΩiImportance value in the forest；
(3) all areas in forest are traversed, you can obtain the probability value that fire occurs for each region in forest.
Fire risk assessment subelement 312, for according to the probability value that fire occurs in obtained forest in each region
With generation fire in each region to the threat degree of entire forest, to the degree of risk of fire occurs in each region in forest
It is assessed；
Fire risk assessment subelement 313, for according to risk assessment subelement 312 obtain about being sent out in each region
The degree of risk for calamity of lighting a fire obtains the degree of risk that fire occurs for entire forest.
Advantageous effect：By the way that forest to be divided into the region of multiple non-overlapping copies, to each region occur fire risk into
Row assessment, which can accurately estimate the degree of risk of each place generation fire in getting out of the wood, while the way can also
Enough accurately estimations, which get out of the wood, occurs the degree of risk of fire, reduces the complexity of algorithm, improves the speed of data processing.
In one embodiment, according to probability value and each region that fire occurs in obtained forest in each region
Interior that threat degree of the fire to entire forest occurs, the degree of risk to fire occurs in each region in forest is assessed,
Specifically, be exactly by calculate each region occur fire degree of risk value, using the degree of risk value calculated come
Assess the degree of risk that fire occurs for each region in forest, wherein region ΩiThe interior degree of risk value that fire occurs is to utilize
What following formula was calculated：
In formula, KiIt is region ΩiThe interior degree of risk value that fire occurs, P (Ωi, t) and it is the region Ω in t momentiInterior hair
The probability value for calamity of lighting a fire, εiIt is region ΩiTo the threat degree value of entire forest when occurring fire,It is at one section of past
In, region ΩiThe average value of the interior probability that fire occurs.
Advantageous effect：In the above embodiment of the present invention, which not only considers current time region ΩiInterior generation fire
Probability value, while having also contemplated in the past period, in region ΩiThe interior average probability value that fire occurs, the algorithm meter
Obtain in region ΩiThe interior degree of risk value that fire occurs is more accurate, be conducive to it is follow-up accurately to forest fire not
Carry out trend to be predicted.
In one embodiment, according to risk assessment subelement 312 obtain about fire occurs in each region
Degree of risk value obtains the degree of risk value that fire occurs for entire forest, and specifically, the degree of risk of fire occurs for entire forest
Value is calculated using following function：
In formula, GtotalIt is the degree of risk value that fire occurs for entire forest, KiIt is region ΩiThe degree of risk of fire occurs
Value, N is areal,It is region ΩiImportance value in entire forest, τ are that forest occurs for local other factors
The influence degree of fire, and 0 < τ < 1, R (Ωc,Ωi) it is region ΩiWith region ΩcDegree of correlation coefficient, and work as c=i
When, R (Ωc,Ωi)=1.
Advantageous effect：In the above embodiment of the present invention, by the way that forest is divided into multiple regions, according to what is be calculated
The degree of risk value of fire occurs for each region, and then considers that the degree of risk value of fire occurs for entire forest, this to protect a forest
Personnel can accurately understand forest and the degree of risk of fire occurs, and timely and effectively take safeguard procedures, reduce forest hair
The loss that calamity of lighting a fire is brought.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although being explained in detail to the present invention with reference to preferred embodiment, those skilled in the art answer
Work as analysis, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. a kind of forest fire early-warning system based on wireless sensor network, which is characterized in that including：
Wireless sensor network, for acquiring the environmental impact factor data in forest；
Data processing module is handled for the data to acquisition, generates the situation information that can describe forest fire；
Fire prediction module, for according to obtained situation information, fire risk occurring to forest and predicts, and determines corresponding
Level of building fire risk；
Alarm module, for being alarmed accordingly according to obtained level of building fire risk.
2. forest fire early-warning system according to claim 1, which is characterized in that the wireless sensor network is by disposing
Several wireless sensors in forest are formed in ZigBee wireless networking modes.
3. forest fire early-warning system according to claim 2, which is characterized in that the environmental impact factor includes gas
Temperature, relative humidity, rainfall, soil moisture, wind speed and air pressure.
4. forest fire early-warning system according to claim 3, which is characterized in that at the data of described pair of acquisition
Reason generates the situation information that can describe forest fire, in particular to carries out de-redundant, cleaning and uniform format to the data of acquisition
Change is handled, and obtains the situation information for describing forest fire.
5. forest fire early-warning system according to claim 4, which is characterized in that the fire prediction module includes：
Fire risk assessment unit is used for the situation information of the forest fire according to acquisition, and fire risk, which occurs, to forest carries out
Assessment；
To forest fire occurs for fire risk predicting unit, the historical data for fire to occur according to assessment result and forest
Future trend predicted；
Fire size class confirmation unit divides level of building fire risk for the prediction result according to the fire risk predicting unit.
6. forest fire early-warning system according to claim 5, which is characterized in that the fire risk assessment unit includes
Situation information assesses subelement, degree of risk assessment subelement and degree of risk comprehensive assessment subelement；
The situation information assesses subelement, is used for the situation information of the forest fire according to acquisition, it is a certain to calculate separately forest
The probability value of fire occurs in region, wherein region ΩiThe interior computational methods of probability value that fire occurs are：
(1) forest Ω is divided into N number of size is identical, regions of non-overlapping copies, wherein Ω={ Ω1,Ω2,…,
Ωi,…,ΩN}；
(2) following probability function is utilized, is calculated in t moment, region ΩiThe interior probability value that fire occurs：
In formula, P (Ωi, t) and it is the region Ω in t momentiThe interior probability value that fire occurs, xm(Ωi, t) and it is the m in t moment
A situation information is to region ΩiThe interior influence degree value that fire occurs, Υm(Ωi, t) and it is the region Ω in t momentiInterior m-th
The situation information weighted value shared when forest fire occurs, M are the numbers for the situation information for describing forest fire,It is region
ΩiImportance value in the forest；
(3) all areas in forest are traversed, you can obtain the probability value that fire occurs for each region in forest；
The risk assessment subelement, for according to the probability value of fire and each area occurs in each region in obtained forest
Threat degree of the fire to entire forest occurs in domain, the degree of risk to fire occurs in each region in forest is commented
Estimate；
The wind of fire occurs in each region for being obtained according to the risk assessment subelement for the risk assessment subelement
Dangerous degree obtains the degree of risk that fire occurs for entire forest.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109448295A (en) * | 2018-11-24 | 2019-03-08 | 石家庄市圣铭科技有限公司 | A kind of forest, grassland fireproofing prewarning monitoring system |
| CN110930632A (en) * | 2019-11-01 | 2020-03-27 | 杨勇 | Early warning system based on artificial intelligence |
| CN111798637A (en) * | 2020-06-30 | 2020-10-20 | 刘向科 | Lightning stroke forest fire early warning method |
| KR20210047491A (en) * | 2019-10-22 | 2021-04-30 | 전남대학교산학협력단 | Determining the risk of fire situation system by analyzing fire record information on the fire situation and method thereof |
| CN112950880A (en) * | 2021-01-26 | 2021-06-11 | 特斯联科技集团有限公司 | Fire early warning method and system based on big data |
| CN113033391A (en) * | 2021-03-24 | 2021-06-25 | 浙江中辰城市应急服务管理有限公司 | Fire risk early warning research and judgment method and system |
| CN113095282A (en) * | 2021-04-29 | 2021-07-09 | 中山大学 | Fire grading method, device, equipment and medium for island subareas |
| CN115239138A (en) * | 2022-07-25 | 2022-10-25 | 应急管理部国家减灾中心 | Forest fire dynamic risk assessment method and device |
| CN117152893A (en) * | 2023-10-31 | 2023-12-01 | 广州市林业和园林科学研究院 | Forest disaster prevention method and system |
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| CN113033391A (en) * | 2021-03-24 | 2021-06-25 | 浙江中辰城市应急服务管理有限公司 | Fire risk early warning research and judgment method and system |
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| CN113095282A (en) * | 2021-04-29 | 2021-07-09 | 中山大学 | Fire grading method, device, equipment and medium for island subareas |
| CN115239138A (en) * | 2022-07-25 | 2022-10-25 | 应急管理部国家减灾中心 | Forest fire dynamic risk assessment method and device |
| CN117152893A (en) * | 2023-10-31 | 2023-12-01 | 广州市林业和园林科学研究院 | Forest disaster prevention method and system |
| CN117152893B (en) * | 2023-10-31 | 2023-12-29 | 广州市林业和园林科学研究院 | Forest disaster prevention method and system |
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