CN105976549A - Intelligent forest fire prevention early warning system and method thereof - Google Patents
Intelligent forest fire prevention early warning system and method thereof Download PDFInfo
- Publication number
- CN105976549A CN105976549A CN201610570168.5A CN201610570168A CN105976549A CN 105976549 A CN105976549 A CN 105976549A CN 201610570168 A CN201610570168 A CN 201610570168A CN 105976549 A CN105976549 A CN 105976549A
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- forest
- measuring
- humiture
- zigbee
- early warning
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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
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/28—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture specially adapted for farming
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses an intelligent forest fire prevention early warning system and method thereof. The system comprises temperature and humidity sensors which are arranged in the forest according to the set distance and used for measuring temperature and humidity in the forest and temperature and humidity sensors which are used for measuring temperature and humidity of the surface soil of the forest. A Zigbee module is wirelessly connected with a Zigbee wireless local area network. The Zigbee wireless local area network is connected with a mobile communication network. The mobile communication network is connected with a wireless communication network control center or a mobile communication device of a mountain patrolling manager. Historical forest fire temperature and humidity data are stored in the wireless communication network control center. The system is combined with the method so that the problems in the prior art that the accuracy is low, consumption of large amount of ground manpower, material resources and financial resources for verification is required, patrolling and protection area is small, the field of vision is narrow, error is high in determining the fire position due to the rugged terrains or the dense forest and cost is high can be avoided.
Description
Technical field
The present invention relates to a kind of fire prevention early warning technology field, especially relate to a kind of intelligent forest fire prevention early warning
System and method.
Background technology
In the market the like product for forest fire protection early warning patrol mainly by ground, Wang Tai
The medium-long range monitor modes such as monitoring, aviation are patrolled, satellite remote sensing.
And ground is patrolled, main task is to spread propaganda among the masses, and controls artificial burning things which may cause a fire disaster, gos deep into the dead of Wang Tai observation
Angle is gone on patrol.To dealing personnel and vehicle, field produces and life fire checks and supervises.Deposit
Deficiency be patrol that area is little, have tunnel vision, determine fire location time, often because terrain is rugged,
The forest is dense and bigger error occurs；Having inconvenient traffic, meagrely-populated remote mountain areas, it is impossible to carry out ground
Face is patrolled, and can only need to come more with video monitoring method with various traffic fare and personnel's cost of labor
Mend.
Aviation is patrolled, and is to utilize to patrol aircraft and carry out the detection of forest fires.Its advantage is to patrol visual field width, machine
Dynamic property is big, speed to around the scene of a fire and developing fire can accomplish complete observation, can have been taked the most simultaneously in time
Effect measure.But there is also deficiency: night, strong wind weather, cloudy day visibility are difficult to take off time relatively low,
Make an inspection tour simultaneously and limited by course line, time, and range of observation is little, can only be once a day to a certain forest zone
Observing, as missed observation opportunity, the forest fire on the same day does not observes yet, and easily leads to terrible disaster,
Fixing flight expense 2000 yuan/hour, cost is high, rents aircraft somewhat expensive, and flight expense is serious not
Foot, this is accomplished by compensating its defect with fixed point video surveillance.
And remote sensing satellite there is also deficiency: NOAA-AVHRR accuracy rate is low, ground is needed to spend a large amount of
Human and material resources, financial resources examine, the most ungetable place, the condition of a fire is examined particularly significant.
When focus reaches 3 pixels, fire causes disaster the most substantially.
Summary of the invention
The technical problem to be solved is to provide a kind of intelligent forest fire prevention early warning system and side thereof
Method, it is to avoid prior art accuracy rate is low, need ground to spend substantial amounts of human and material resources, financial resources to carry out
Examine, patrol that area is little, have tunnel vision, determine that fire location is often because terrain is rugged or forest is luxuriant
Close and the problem that bigger error, cost are high occurs.
For solving above-mentioned technical problem, the technical solution of the present invention is:
A kind of intelligent forest fire prevention early warning system, is included in forest and lays for measuring according to setpoint distance
The Temperature Humidity Sensor 1,2 of the internal humiture of forest and be used for measuring the warm and humid of forest soil top layer humiture
Degree sensor 3, is used for measuring the Temperature Humidity Sensor 1,2 of the internal humiture of forest and being used for measuring sylvogenic soil
The Temperature Humidity Sensor 3 of earth top layer humiture is connected with Zigbee module, and described Zigbee module is same
Zigbee WLAN 4 phase wireless connections, the described same mobile communication network of Zigbee WLAN 4
5 connect, and described mobile communication network 5 is with wireless communication networks control centre or the movement of patrolling mountain manager
Communication device is connected, and is provided with control system based on Zigbee in described Zigbee WLAN 4
System, in described wireless communication networks control centre, storage has the humiture data of historical forest fire.
The method of described intelligent forest fire prevention early warning system, specific as follows:
Lay the Temperature Humidity Sensor being used for measuring the internal humiture of forest according to setpoint distance in forest
1,2 and be used for measuring the Temperature Humidity Sensor 3 of forest soil top layer humiture, by monitoring forest in real time
Portion's humiture and forest soil top layer humiture data, by these humiture data acquisitions and pass through Zigbee
The control system based on Zigbee that module is sent in Zigbee WLAN 4, comes this with this
A little humiture data are analyzed controlling, i.e. when detecting the local temperature measuring the internal humiture somewhere of forest
When degree rises to 150 DEG C～200 DEG C, it is additionally based on the forest that the control system identification collection of Zigbee comes
There is the humidity higher than the first setting value and be less than the situation of the second setting value in internal temperature, collection comes in addition
When forest soil skin temperature exists higher than the 3rd setting value and humidity less than the situation of the 4th setting value, just
To gather in the internal humiture of the forest come and forest soil top layer humiture data through zigbee LAN
Pass to wireless communication networks control centre or patrol on the device for mobile communication of mountain manager, with historical gloomy
The humiture data of forest fires calamity are analyzed, and determine whether to there is disaster hidden-trouble with this.
Via the structure of the present invention, compared with prior art, it is an advantage of the current invention that:
The present invention is the closely real time on-line monitoring condition of a fire, can be the most in time by the condition of a fire that may be present
Hidden danger is by being wirelessly transmitted to command centre or patrolling on the manager's device for mobile communication of mountain. it is easy to nip in the bud
Disaster hidden-trouble.It is likely to cause the potential risk of fire inside the most preventative real-time monitoring forest, and leads to
Cross analysis to take measures in time, it is to avoid the generation of fire.
Accompanying drawing explanation
Fig. 1 is the structural representation of described intelligent forest fire prevention early warning system.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and
Embodiment, is further elaborated to the present invention.Should be appreciated that described herein being embodied as
Example only in order to explain the present invention, is not intended to limit the present invention.
As it is shown in figure 1, intelligent forest fire prevention early warning system, it is included in forest and lays according to setpoint distance
It is used for measuring the Temperature Humidity Sensor 1,2 of the internal humiture of forest and warm and humid for measuring forest soil top layer
The Temperature Humidity Sensor 3 of degree, is used for the internal humiture of monitoring forest and forest soil top layer humiture in real time
Data, are used for measuring the Temperature Humidity Sensor 1,2 of the internal humiture of forest and being used for measuring forest soil table
The Temperature Humidity Sensor 3 of layer humiture is connected with Zigbee module, the same Zigbee of described Zigbee module
WLAN 4 phase wireless connections, described Zigbee WLAN 4 connects with mobile communication network 5,
Described mobile communication network 5 is with wireless communication networks control centre or the device for mobile communication that patrols mountain manager
It is connected, described Zigbee WLAN 4 is provided with control system based on Zigbee, described
In wireless communication networks control centre, storage has the humiture data of historical forest fire.
Solar photovoltaic powered system 6 is set in described forest eminence, is used for being used for measuring in forest
The Temperature Humidity Sensor 1,2 of portion's humiture, it is used for measuring the Temperature Humidity Sensor of forest soil top layer humiture
3 and control system based on Zigbee power, concrete power supply mode is that solar photovoltaic powered system 6 is white
It electricity can be for whole system and be stored in accumulator, and discharge electric energy in accumulator in the evening again
For whole system.
Described forest eminence is the top on the hills in the top of trees in forest or forest.
Described mobile communication network 5 is 2G network, 3G network, 4G network or GPRS network.
Described laying according to setpoint distance in forest is used for measuring the temperature and humidity sensing of humiture inside forest
The setpoint distance of device 1,2 and the Temperature Humidity Sensor 3 for measuring forest soil top layer humiture is gloomy
Lateral separation within woods and the longitudinally spaced spacing distance being 50-100 rice.
The method of described intelligent forest fire prevention early warning system, specific as follows:
Lay the Temperature Humidity Sensor being used for measuring the internal humiture of forest according to setpoint distance in forest
1,2 and be used for measuring the Temperature Humidity Sensor 3 of forest soil top layer humiture, by monitoring forest in real time
Portion's humiture and forest soil top layer humiture data, by these humiture data acquisitions and pass through Zigbee
The control system based on Zigbee that module is sent in Zigbee WLAN 4, comes this with this
A little humiture data are analyzed controlling, i.e. when detecting the local temperature measuring the internal humiture somewhere of forest
When degree rises to 150 DEG C～200 DEG C, it is additionally based on the forest that the control system identification collection of Zigbee comes
There is the humidity higher than the first setting value and be less than the situation of the second setting value in internal temperature, collection comes in addition
When forest soil skin temperature exists higher than the 3rd setting value and humidity less than the situation of the 4th setting value, just
To gather in the internal humiture of the forest come and forest soil top layer humiture data through zigbee LAN
Pass to wireless communication networks control centre or patrol on the device for mobile communication of mountain manager, with historical gloomy
The humiture data of forest fires calamity are analyzed, and determine whether to there is disaster hidden-trouble with this.
The present invention is by mounting arrangements intelligence sensor in forest, inside sensor collection forest
Forest internal information is remotely passed by information (such as earth's surface and trees temperature, humidity) by intelligent wireless device
It is passed on command centre or forest inspectorate mobile terminal.The present invention is divided into following and part:
1. sensor (Temperature Humidity Sensor) sensor is responsible for internal for forest soil temperature and humidity, earth's surface temperature
Humidity information is collected
2.Zigbee control system, the information that various kinds of sensors is collected by zigbee automatic network-building system is led to
Cross TCP/IP carry out processing, networking, transmission.
3. sub data transmission analysis system, zigbee by sensor collection to information process, pass through
2G 3G 4G network wireless remotely arrive data center and analyze and process.
4. electric power system, provides electric energy to each sensor and control system by solar-energy photo-voltaic cell sheet.
With the above-mentioned desirable embodiment according to the present invention for enlightenment, by above-mentioned description, relevant work
Make personnel completely can in the range of without departing from this invention technological thought, carry out various change and
Amendment.The content that the technical scope of this invention is not limited in description, it is necessary to according to right
Claimed range determines its technical scope.
Claims (5)
1. an intelligent forest fire prevention early warning system, it is characterised in that be included in forest according to setpoint distance
Lay the Temperature Humidity Sensor being used for measuring the internal humiture of forest and warm and humid for measuring forest soil top layer
The Temperature Humidity Sensor of degree, is used for measuring the Temperature Humidity Sensor of the internal humiture of forest and gloomy for measuring
The Temperature Humidity Sensor of woods upper soll layer humiture is connected with Zigbee module, described Zigbee module
With Zigbee WLAN phase wireless connections, the described same mobile communication network of Zigbee WLAN
Connecting, described mobile communication network is with wireless communication networks control centre or the mobile communication of patrolling mountain manager
Device is connected, and is provided with control system based on Zigbee, institute in described Zigbee WLAN
State storage in wireless communication networks control centre and have the humiture data of historical forest fire.
Intelligent forest the most according to claim 1 fire prevention early warning system, it is characterised in that described gloomy
Woods eminence arranges solar photovoltaic powered system, is used for being used for measuring the warm and humid of the internal humiture of forest
Spend sensor, be used for measuring the Temperature Humidity Sensor of forest soil top layer humiture and control based on Zigbee
System power supply processed, concrete power supply mode is that solar photovoltaic powered system electricity on daytime can be for whole system
Use and be stored in accumulator, in accumulator, discharge electric energy evening again for whole system.
Intelligent forest the most according to claim 2 fire prevention early warning system, it is characterised in that described forest
Eminence is the top on the hills in the top of trees in forest or forest.
Intelligent forest the most according to claim 1 fire prevention early warning system, it is characterised in that described movement
Communication network is 2G network, 3G network, 4G network or GPRS network.
Intelligent forest the most according to claim 1 fire prevention early warning system, it is characterised in that described gloomy
Woods is laid according to setpoint distance the Temperature Humidity Sensor 1,2 being used for measuring the internal humiture of forest and is used for
The setpoint distance of the Temperature Humidity Sensor 3 measuring forest soil top layer humiture is horizontal within forest
Interval and the longitudinally spaced spacing distance being 50-100 rice.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610570168.5A CN105976549A (en) | 2016-07-19 | 2016-07-19 | Intelligent forest fire prevention early warning system and method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610570168.5A CN105976549A (en) | 2016-07-19 | 2016-07-19 | Intelligent forest fire prevention early warning system and method thereof |
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| CN105976549A true CN105976549A (en) | 2016-09-28 |
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| CN201610570168.5A Pending CN105976549A (en) | 2016-07-19 | 2016-07-19 | Intelligent forest fire prevention early warning system and method thereof |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107135465A (en) * | 2017-04-19 | 2017-09-05 | 上海事凡物联网科技有限公司 | Measure the network system of Fuel loads |
| RU2744436C1 (en) * | 2019-09-30 | 2021-03-09 | Алексей Петрович Зверев | Method of detection of peatland fires |
| CN113534717A (en) * | 2021-07-26 | 2021-10-22 | 中南林业科技大学 | Wisdom forestry monitoring system |
| CN113706028A (en) * | 2021-08-31 | 2021-11-26 | 广东省林业科学研究院 | Forest fire risk hidden danger analysis method, system, equipment and medium |
| 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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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107135465A (en) * | 2017-04-19 | 2017-09-05 | 上海事凡物联网科技有限公司 | Measure the network system of Fuel loads |
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| CN113534717A (en) * | 2021-07-26 | 2021-10-22 | 中南林业科技大学 | Wisdom forestry monitoring system |
| CN113706028A (en) * | 2021-08-31 | 2021-11-26 | 广东省林业科学研究院 | Forest fire risk hidden danger analysis method, system, equipment and medium |
| 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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Application publication date: 20160928 |
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