CN107230312B - Effective forest fire monitoring system - Google Patents
Effective forest fire monitoring system Download PDFInfo
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- CN107230312B CN107230312B CN201710453931.0A CN201710453931A CN107230312B CN 107230312 B CN107230312 B CN 107230312B CN 201710453931 A CN201710453931 A CN 201710453931A CN 107230312 B CN107230312 B CN 107230312B
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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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Abstract
The utility model provides an effectual forest fire monitoring system, includes fire condition parameter monitoring module, long-range fire condition surveillance center and alarm module, fire condition parameter monitoring module is arranged in monitoring forest each item fire condition parameter information, and will through wireless sensor network the fire condition parameter conveys long-range fire condition surveillance center, long-range fire condition surveillance center carries out data processing and analysis to the parameter information who receives to data after will handling and the threshold value that sets up carry out the comparison, make alarm module report to the police promptly when data surpass and set up the threshold value. The invention has the beneficial effects that: the effective forest fire monitoring system is used for collecting forest fire parameter information in real time, then processing and analyzing the collected parameter information, judging whether a forest has a fire or not, effectively helping a forest supervisor to find out the occurrence of the forest fire in time and put out a fire at the initial stage of the fire, and greatly reducing fire loss.
Description
Technical Field
The invention relates to the field of forest fire monitoring, in particular to an effective forest fire monitoring system.
Background
In recent years, forest fires frequently occur, so that the life and property safety of people in forest areas is threatened, forest structures are damaged, and the density and the utilization value of trees in the forest areas are reduced. The destructiveness and the multiplicity of forest fires, the importance of forest resources and the current shortage of forest resources in China make the forest fire prevention in China extremely important, so that the occurrence of the forest fires is reduced, the harm and the loss caused by the forest fires can be reduced, and the ecological environment is protected. The invention provides an effective forest fire monitoring system, which can realize timely discovery of forest fires through effective monitoring of forest fire parameter information, can extinguish the forest fires at the early stage of forest fire occurrence, and greatly reduces the loss of the forest fires.
Disclosure of Invention
In view of the above problems, the present invention aims to provide an effective forest fire monitoring system.
The purpose of the invention is realized by the following technical scheme:
the utility model provides an effectual forest fire monitoring system, includes fire condition parameter monitoring module, long-range fire condition surveillance center and alarm module, fire condition parameter monitoring module is arranged in monitoring forest each item fire condition parameter information, and will through wireless sensor network fire condition parameter information conveys long-range fire condition surveillance center, long-range fire condition surveillance center carries out data processing and analysis to the parameter information received to data after will handling and the threshold value that sets up compare, make alarm module report to the police promptly when data surpass and set up the threshold value.
The beneficial effects created by the invention are as follows: the effective forest fire monitoring system has the advantages that the sensors are arranged at different positions in a forest to realize real-time collection of forest fire parameter information, collected parameter information is processed and analyzed, whether a fire occurs in the forest or not is judged, people are effectively helped to find out forest fires in time and extinguish the fire at the initial stage of the fire, fire loss is greatly reduced, and the safety guarantee of firemen is increased.
Drawings
The invention is further described with the aid of the accompanying drawings, in which, however, the embodiments do not constitute any limitation to the invention, and for a person skilled in the art, without inventive effort, further drawings may be derived from the following figures.
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic diagram of a fire parameter monitoring module according to the present invention;
fig. 3 is a schematic structural diagram of a data transmission unit according to the present invention.
Reference numerals:
a fire parameter monitoring module 1; a remote fire monitoring center 2; an alarm module 3; a fire parameter acquisition unit 11; a data transmission unit 12; an energy consumption control subunit 121; a network setup subunit 122.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, 2 and 3, the effective forest fire monitoring system of the embodiment includes a fire parameter monitoring module 1, a remote fire monitoring center 2 and an alarm module 3, wherein the fire parameter monitoring module 1 is configured to monitor various fire parameter information in a forest and transmit the fire parameter information to the remote fire monitoring center 2 through a wireless sensor network, the remote fire monitoring center 2 performs data processing and analysis on the received parameter information, compares the processed data with a set threshold, and instructs the alarm module 3 to alarm when the data exceeds the set threshold.
This preferred embodiment provides an effectual forest fire monitoring system, lays the sensor through different positions department in the forest and realizes the real-time collection to forest fire parameter information, handles and analyzes the parameter information who obtains gathering then, judges whether the forest has the conflagration to take place, effectively helps the forest supervisor in time to discover the emergence of forest fire and put out a fire at the conflagration initial stage, has alleviateed the loss of fire greatly and has increaseed fireman's safety guarantee.
Preferably, the fire parameter monitoring module 1 includes a fire parameter acquisition unit 11 and a data transmission unit 12, the fire parameter acquisition unit 11 is composed of various sensor nodes and is used for acquiring various fire parameter data in a forest, and the data transmission unit 12 transmits data acquired by the sensor nodes to a remote fire monitoring center through a wireless sensor network.
Preferably, set up a monitoring point at every certain distance in the forest, set up a set of fire condition parameter acquisition unit 11 on every monitoring point, fire condition parameter acquisition unit 11 includes temperature sensor, humidity transducer, smoke detector, flame detector and combustible gas concentration detection sensor.
The fire parameter monitoring module is arranged in the preferred embodiment, so that effective collection and transmission of fire parameters in the forest are realized, and data guarantee is provided for a remote fire monitoring center.
Preferably, the data transmission unit 12 transmits data between sensor nodes by using a wireless sensor network, and includes an energy consumption control subunit 121 and a network setting subunit 122, where the energy consumption control subunit 121 determines the sensor nodes transmitting data according to the energy levels of the sensor nodes in the network, and the network setting subunit 122 performs routing design of the wireless sensor network by using an improved ant colony algorithm.
Preferably, the energy consumption control subunit 121 determines the sensor node for data transmission according to the energy level of the sensor node in the network, and defines the parameter value of the sensor node k at t as pk(t) the path distance between the sensor node k and the adjacent sensor node l is DklThe capacity of the sensor node k to process data is vkThe remaining energy value of the sensor node k is ekThe initial energy value of the sensor node k is EkThen p iskThe expression of (t) is:
in the formula, sigma and tau are weight values of corresponding parameter items respectively;
defining the working threshold value of the sensor node as p, and only if the parameter value of the sensor node k meets pk(t)>p activates sensor node k.
The preferred embodiment is provided with the energy consumption control subunit, and determines the sensor nodes with higher energy to transmit data according to the energy levels of the sensor nodes in the network, so that the residual capacities of the sensor nodes in the network tend to be balanced, the service cycle of the network is prolonged, and the monitoring reliability is improved.
Preferably, the network setting subunit 122 is configured to perform routing design of the wireless sensor network, introduce sensor node parameter values to improve pheromone update rules in the ant colony algorithm, and specifically include:
a. in the ant colony algorithm, the probability that ant m selects from sensor node k to sensor node l is:
in the formula, Am(0,1, …, n-1) is an ant m optional node set,τkl(t) is link lklThe intensity of the pheromone of (a),
is visibility factor, α is pheromone parameter in algorithm, α is more than or equal to 0, β is visibility parameter in algorithm, β is more than or equal to 0.
b. When ant m turns to sensor node l from sensor node k, path lklThe pheromone on is updated as:
τkl(t+1)＝(1-ρ)τkl(t)+ρτ0
in the formula, τkl(t) is path lklPheromone before update, τkl(t +1) is path lklThe rho of the updated pheromone is the volatilization coefficient of the pheromone, and rho belongs to [0,1 ]]，τ0Is the initial value of the pheromone;
c. when the ant m reaches the target sensor node, the optimal path lklThe global pheromone update of the pheromone of (a) is:
τkl(t+1)＝(1-ρ)τkl(t)+ρΔτkl
in the formula, τkl(t) is path lklPheromone before update, τkl(t +1) is path lklThe updated pheromone is that rho is the volatilization coefficient of the pheromone and rho belongs to [0,1 ]]，Δτkl(t) denotes a path lklThe pheromone concentration increment above, h is the number of ants passing through the path, Δ τkl d(t) that the d-th ant stays on the path l at the time tklPheromone of (1), pk(t) is the value of the parameter, p, of the sensor node k at time tlAnd (t) is the parameter value of the sensor node l at the time t.
In the preferred embodiment, the residual capacity of the wireless sensor is introduced into the ant colony algorithm as a parameter, and the pheromone of the optimal routing path of the sensor network is updated by applying the improved ant colony pheromone updating rule, so that the service life of the wireless sensor network is prolonged to a great extent.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (2)
1. An effective forest fire monitoring system is characterized by comprising a fire parameter monitoring module, a remote fire monitoring center and an alarm module, wherein the fire parameter monitoring module is used for monitoring various fire parameter information in a forest and transmitting the fire parameter information to the remote fire monitoring center through a wireless sensor network, the remote fire monitoring center carries out data processing and analysis on the received parameter information, compares the processed data with a set threshold value, and commands the alarm module to give an alarm when the data exceeds the set threshold value, the fire parameter monitoring module comprises a fire parameter acquisition unit and a data transmission unit, the fire parameter acquisition unit consists of various sensor nodes and is used for acquiring various fire parameter data in the forest, the data transmission unit transmits the data acquired by the sensor nodes to the remote fire monitoring center through the wireless sensor network, the energy consumption control method comprises an energy consumption control subunit and a network setting subunit, wherein the energy consumption control subunit determines a sensor node for transmitting data according to the energy level of nodes in the network, and defines the parameter value of a sensor node k at t as pk(t) the path distance between the sensor node k and the adjacent sensor node l is DklThe capacity of the sensor node k to process data is vkThe remaining energy value of the sensor node k is ekThe initial energy value of the sensor node k is EkThen p iskThe expression of (t) is:
in the formula, sigma and tau are weight values of corresponding parameter items respectively;
defining the working threshold value of the sensor node as p, and only if the parameter value of the sensor node k meets pk(t)>p, starting the sensor node k to transmit data, wherein the network setting subunit is used for designing a route of the wireless sensor network, introducing sensor node parameter values to improve pheromone updating rules in the ant colony algorithm, and the method specifically comprises the following steps:
a. in the ant colony algorithm, the probability that ant m selects from sensor node k to sensor node l is:
in the formula, Am(0,1, …, n-1) is an ant m optional node set, τkl(t) is link lklThe intensity of the pheromone of (a),
is a visibility factor, α is an pheromone parameter in the algorithm, α is more than or equal to 0, β is a visibility parameter in the algorithm, β is more than or equal to 0;
b. when ant m turns to sensor node l from sensor node k, path lklThe pheromone on is updated as:
τkl(t+1)＝(1-ρ)τkl(t)+ρτ0
in the formula, τkl(t) is path lklPheromone before update, τkl(t +1) is path lklThe rho of the updated pheromone is the volatilization coefficient of the pheromone, and rho belongs to [0,1 ]]，τ0Is the initial value of the pheromone;
c. after local pheromone updating is carried out on the optimal path, the optimal path lklThe global pheromone on is updated as:
τkl(t+1)＝(1-ρ)τkl(t)+ρΔτkl
in the formula, τkl(t) is path lklPheromone before update, τkl(t +1) is path lklThe updated pheromone is that rho is the volatilization coefficient of the pheromone and rho belongs to [0,1 ]]，Δτkl(t) denotes a path lklThe pheromone concentration increment above, h is the number of ants passing through the path, Δ τkl d(t) that the d-th ant stays on the path l at the time tklPheromone of (1), pk(t) is the value of the parameter, p, of the sensor node k at time tlAnd (t) is the parameter value of the sensor node l at the time t.
2. An effective forest fire monitoring system as claimed in claim 1 wherein a monitoring point is provided at intervals in the forest, a set of fire parameter acquisition units being provided at each monitoring point, said fire parameter acquisition units including temperature sensors, humidity sensors, smoke detectors, flame detectors and combustible gas concentration detection sensors.
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| CN104394566A (en) * | 2014-11-12 | 2015-03-04 | 南京航空航天大学 | Fuzzy decision-based low-power dissipation self-adaption clustering multihop wireless sensor network topology control method |
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