CN110113724A - Gas-monitoring WSN node configuration method and system based on nonlinear dynamic equation - Google Patents
Gas-monitoring WSN node configuration method and system based on nonlinear dynamic equation Download PDFInfo
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- CN110113724A CN110113724A CN201910422990.0A CN201910422990A CN110113724A CN 110113724 A CN110113724 A CN 110113724A CN 201910422990 A CN201910422990 A CN 201910422990A CN 110113724 A CN110113724 A CN 110113724A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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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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Abstract
The present invention provides a kind of gas-monitoring WSN node configuration method and system based on nonlinear dynamic equation, wherein method is the following steps are included: obtain the initial data of the multiple sensors node and base station communication in monitoring range；The initial data got is pre-processed；Pretreated data unbalanced input kinetic equation is calculated into the corresponding signal-to-noise ratio size of each group initial data；It is optimal case when signal-to-noise ratio maximum, the quantity of different sensors and the proportion of energy is determined according to maximum signal-to-noise ratio.The present invention can according to need the gas type of monitoring and original communication data calculate optimal quantity and energy proportioning, so that WSN can not only be made to keep higher performance, can also effectively economize on resources.
Description
Technical field
The present invention relates to the monitoring technology fields of factory floor gas more particularly to a kind of based on nonlinear dynamic equation
Gas-monitoring WSN node configuration method and system.
Background technique
Currently, more and more new and high technologies are employed and are integrated into industrial production.Such as wireless sensor network
(Wireless Sensor Network, abbreviation WSN), WLAN (WLAN), high speed network and portable equipment etc. innovate into
Step is all played an important role in people's daily life.Especially WSN shows one's capabilities in more and more fields, for example, factory
The monitoring of gas in workshop.
WSN is a kind of emerging network model, it is by largely there is the sensor node of communication and computing capability to be laid in
Unattended monitoring area is constituted.With advancing by leaps and bounds for WSN technology and computer technology, the wireless prison based on WSN technology
Control system has the advantages such as uninterrupted in real time, dynamic is strong, erection of equipment is simple, and wireless monitor is expected to replace traditional wire monitoring
Means.Therefore, carrying out reliable real time monitoring using distribution of the wireless supervisory control system to gas in factory floor becomes
One of current research hotspot.
Factory floor is primarily referred to as building one within the scope of certain space for production equipment, producer goods, control system
The building in the same space is included with a variety of production element concentrateds such as producers.To accomplish space, the comprehensive benefit of manpower
With the unitized management with machinery equipment, the purpose of production efficiency and easy access is improved.Especially in chemical industry factory, chemistry
The detection of gas is the key that guarantee personnel safety and reduction one ring of equipment property loss.WSN technology master in chemical workshop
It realizes gas concentration in region, the acquisition of the monitoring data of type, transmission, is the important of the complete automatically-monitored network of composition
One ring, this makes key factor one of of the high performance Routing Protocol as system stable operation.
The existing chemical workshop of node deployment in to(for) WSN is excessively general, will usually monitor two kinds of gas and pass
Sensor repeats covering deployment in the same area, is not distinguished effectively to the monitoring of toxic gas and fuel gas, this just makes
It is wasted at the deployment in certain regional nodes.In addition, due to other no schemes, the battery of each sensor is also used
Identical specification, this also results in the energy starvation or redundancy of partial region, and will cause partial region, there are monitoring deficiencies
Problem.
Summary of the invention
The present invention provides a kind of gas-monitoring WSN node configuration method and system based on nonlinear dynamic equation, solves
Existing above-mentioned problem.
To solve the above problems, the embodiment of the present invention provides a kind of gas-monitoring WSN section based on nonlinear dynamic equation
Point configuration method, comprising the following steps:
Obtain the initial data of the multiple sensors node and base station communication in monitoring range；
The initial data got is pre-processed；
Pretreated data unbalanced input kinetic equation is calculated into the corresponding signal-to-noise ratio size of each group initial data；
It is optimal case when signal-to-noise ratio maximum, the quantity and energy of different sensors is determined according to maximum signal-to-noise ratio
Proportion.
As an implementation, the described pair of initial data got carries out pre-treatment step, specifically includes following step
It is rapid:
The traffic of sensor node and base station in each round communication is obtained, and the traffic is pre-processed, processing is public
Formula is as follows:
D (t)=(d (t)-dmin)/(dmax-dmin), in formula, d (t) is expressed as the traffic when t takes turns, dminAnd dmaxPoint
It is not the minimum value and maximum value of d (t)；
The traffic is handled as series of parameters, i.e. small parameter signal D (t)=(D1,, D2, D3... Dn), D (t) is indicated
Network information transfer ability when t takes turns；
Utilize carrier signal c (t)=(A0sin(2πfcT) the small parameter signal D (t) after normalization is modulated, is obtained
Small parameter periodic signal s (t)=D (t) gc (t)=D (t) (A0sin(2πfcT), A0It is expressed as amplitude, fcIt is expressed as signal frequency
Rate；
Small parameter periodic signal s (t) and the additive white Gaussian noise n (t) of superposition is defeated together as system input signal
Enter into nonlinear dynamic equation.
As an implementation, the nonlinear dynamic equation is accidental resonance equation.
As an implementation, the accidental resonance equation is described as follows:
In formula, U and x relationship formula are the potential function of a bistable systemS (t)=Acos (2 π f0T) it is expressed as the input signal of nonlinear dynamic equation: small parameter period letter
Number, A is expressed as signal assignment, f0It is expressed as signal frequency, a, b > 0 is expressed as system parameter；N (t) is expressed as assembly average
The additive white Gaussian noise for being D for 0, noise intensity.
As an implementation, the signal-to-noise ratio formula is as follows:
In formula, SNR is expressed as signal-to-noise ratio, U0It is expressed as barrier height, U0=a2/4b。
The present invention also provides a kind of gas-monitoring WSN node configuration system based on nonlinear dynamic equation, comprising:
Module is obtained, for obtaining the initial data of the multiple sensors node in monitoring range and base station communication；
Preprocessing module, for being pre-processed to the initial data got；
Processing module, it is corresponding for pretreated data unbalanced input kinetic equation to be calculated each group initial data
Signal-to-noise ratio size；
Module is matched, for being optimal case when signal-to-noise ratio maximum, different sensors are determined according to maximum signal-to-noise ratio
Quantity and energy proportion.
Further, include following processing step in the preprocessing module:
The traffic of sensor node and base station in each round communication is obtained, and the traffic is pre-processed；
The traffic is handled as series of parameters；
The small parameter signal after normalization is modulated to obtain small parameter periodic signal using carrier signal；
It is input to together using small parameter periodic signal and the additive white Gaussian noise of superposition as system input signal non-thread
In property kinetic equation.
The beneficial effect of the present invention compared with the prior art is: can according to need the gas type of monitoring and original logical
Letter data calculates optimal quantity and energy proportioning, so that WSN can not only be made to keep higher performance, it can also be effectively
It economizes on resources.
Detailed description of the invention
Fig. 1 is the flow chart of the gas-monitoring WSN node configuration method of the invention based on nonlinear dynamic equation；
Fig. 2 is pre-treatment step in the gas-monitoring WSN node configuration method of the invention based on nonlinear dynamic equation
Flow chart；
Fig. 3 is the transition figure of nonlinear bistable system potential energy curve and particle of the invention between two potential wells；
Fig. 4 is different sensors in the gas-monitoring WSN node configuration method of the invention based on nonlinear dynamic equation
Quantity and energy reversal lab diagram；
Fig. 5 is the module connection figure of the gas-monitoring WSN node configuration system of the invention based on nonlinear dynamic equation.
Attached drawing mark: 1, module is obtained；2, preprocessing module；3, processing module；4, module is matched.
Specific embodiment
Below in conjunction with attached drawing, the technical characteristic and advantage above-mentioned and other to the present invention are clearly and completely described,
Obviously, described embodiment is only section Example of the invention, rather than whole embodiments.
In general, to be effectively monitored to murder by poisoning and fuel gas, in some factory floors to cope with possibility in time
The emergency case of appearance.And it common are harmful gas and fuel gas type and be overlapped there is no large-scale.Therefore, existing skill
Art scheme is will to monitor number of sensors repeatedly covering deployment in the same area of two kinds of gas.This has been resulted in
The waste of certain regional nodes.In addition, due to not reliable scheme, the battery of each sensor also uses identical rule
Lattice, this also results in the energy starvation or redundancy of partial region.
The present invention provides a kind of gas-monitoring WSN node configuration method based on nonlinear dynamic equation, utilization are non-thread
Property kinetic equation, the data distribution monitored according to WSN optimizes the energy and quantity configuration of network node, is keeping higher net
Capacity usage ratio can also be effectively improved while network performance.
Specifically, as shown in Figure 1, a kind of gas-monitoring WSN node configuration method based on nonlinear dynamic equation, including
Following steps:
S100: the initial data of the multiple sensors node and base station communication in monitoring range is obtained；
S200: the initial data got is pre-processed；
S300: pretreated data unbalanced input kinetic equation is calculated into the corresponding signal-to-noise ratio of each group initial data
Size；
S400: when signal-to-noise ratio maximum be optimal case, according to maximum signal-to-noise ratio determine different sensors quantity and
The proportion of energy.
Nonlinear dynamic equation system is using small parameter signal as input signal.But WSN communicates the signal generated with BS
For non-small parameter signal, and do not have periodicity.Therefore, it before handling using nonlinear dynamic equation, needs to pass reflection WSN
The original signal data of Movement Capabilities is pre-processed, and system requirements is complied with.As shown in Fig. 2, being specifically included in step S200
Following steps:
S201: the traffic of sensor node and base station in each round communication is obtained, and the traffic is pre-processed, is located
It is as follows to manage formula:
D (t)=(d (t)-dmin)/(dmax-dmin), in formula, d (t) is expressed as the traffic when t takes turns, dminAnd dmaxPoint
It is not the minimum value and maximum value of d (t)；
S202: the traffic is handled as series of parameters, i.e. small parameter signal D (t)=(D1,, D2, D3... Dn), D (t)
Indicate the network information transfer ability in t wheel；
S203: carrier signal c (t)=(A is utilized0sin(2πfcT) the small parameter signal D (t) after normalization is adjusted
System, obtains small parameter periodic signal s (t)=D (t) gc (t)=D (t) (A0sin(2πfcT), A0It is expressed as amplitude, fcIt is expressed as
Signal frequency；
S204: small parameter periodic signal s (t) and the additive white Gaussian noise n (t) of superposition are regard as system input signal one
It rises and is input in nonlinear dynamic equation.
In the present embodiment, the nonlinear dynamic equation used is accidental resonance equation (stochastic resonance
(SR))。
Accidental resonance is Brownian Particles under the action of by cyclical signal (cyclic drive power) and noise (random force),
There is a phenomenon where reciprocal transition in nonlinear bistable system.If Fig. 3 is that nonlinear bistable system potential energy curve and particle exist
Transition figure between two potential wells, Langevin equation description are as follows:
In formula, U and x relationship formula are the potential function of a bistable system(solid line in such as Fig. 3)；S (t)=Acos (2 π f0T) it is expressed as the input of nonlinear dynamic equation
Signal, A are expressed as signal assignment, f0It is expressed as signal frequency, a, b > 0 is expressed as system parameter；N (t) is expressed as statistical average
Value is the additive white Gaussian noise that 0, noise intensity is D.
When the intensity D of the amplitude A of input signal and noise are 0, the barrier height that Langevin equation describes system is
U0=a2/ 4b, bottom are located atThe position at place, and the output state of system is determined will stay on by original state
One of two potential wells.If the periodic drive signal of input signalIt is quantitative using signal-to-noise ratio for f (t)
The output effect for describing stochastic resonance system, is defined as the ratio of the power spectrum and ambient noise spectrum at signal frequency, i.e.,
Signal-to-noise ratio:
Under adiabatic approximation condition (input signal amplitude, frequency, noise intensity are less than 1), exported by stochastic resonance system
The simplified style of the available output signal-to-noise ratio of the auto-correlation function of signal, sees below formula:
According to the description of above-mentioned accidental resonance, using the communication data between the node initially obtained and base station as input number
According to, it brings nonlinear dynamic equation into and calculates analysis, scheme acquisition corresponding optimal section when maximum by selection signal-to-noise ratio (SNR)
Point quantity and energy reversal scheme.
As shown in Figure 4, it can be seen that the data for selecting the sensor node that there is different number and energy to combine to generate.From
On the whole, present in four endpoints of the top near 12% and 2.1 without occurring from XY axis, show quantity and energy
Interaction.Therefore, this method efficiently solves toxic gas and combustible gas sensor in gas-monitoring really and repeats to cover
The problem of.
As shown in figure 5, a kind of gas-monitoring WSN node configuration system based on nonlinear dynamic equation, including obtain mould
Block 1, preprocessing module 2, processing module 3 and proportion module 4.Module 1 is obtained to be used to obtain a variety of sensings in monitoring range
The initial data of device node and base station communication；Preprocessing module 2 is for pre-processing the initial data got；Handle mould
Block 3 is used to pretreated data unbalanced input kinetic equation calculating the corresponding signal-to-noise ratio size of each group initial data；
Match module 4 be used for when signal-to-noise ratio maximum be optimal case, according to maximum signal-to-noise ratio determine different sensors quantity and
The proportion of energy.
In the present embodiment, include following processing step in preprocessing module:
The traffic of sensor node and base station in each round communication is obtained, and the traffic is pre-processed；
The traffic is handled as series of parameters；
The small parameter signal after normalization is modulated to obtain small parameter periodic signal using carrier signal；
It is input to together using small parameter periodic signal and the additive white Gaussian noise of superposition as system input signal non-thread
In property kinetic equation.
The present invention is based on the gas-monitoring WSN node configuration methods and system of nonlinear dynamic equation, can according to need
The gas type and original communication data of monitoring, calculate optimal quantity and energy proportioning by nonlinear dynamic equation, from
And WSN can not only be made to keep higher performance, it can also effectively economize on resources.
Particular embodiments described above has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that the above is only a specific embodiment of the present invention, the protection being not intended to limit the present invention
Range.It particularly points out, to those skilled in the art, all within the spirits and principles of the present invention, that is done any repairs
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (7)
1. a kind of gas-monitoring WSN node configuration method based on nonlinear dynamic equation, which is characterized in that including following step
It is rapid:
Obtain the initial data of the multiple sensors node and base station communication in monitoring range；
The initial data got is pre-processed；
Pretreated data unbalanced input kinetic equation is calculated into the corresponding signal-to-noise ratio size of each group initial data；
It is optimal case when signal-to-noise ratio maximum, the quantity of different sensors and matching for energy is determined according to maximum signal-to-noise ratio
Than.
2. the gas-monitoring WSN node configuration method according to claim 1 based on nonlinear dynamic equation, feature exist
In, the described pair of initial data got carries out pre-treatment step, specifically includes the following steps:
The traffic of sensor node and base station in each round communication is obtained, and the traffic is pre-processed, processing formula is such as
Under:
D (t)=(d (t)-dmin)/(dmax-dmin), in formula, d (t) is expressed as the traffic when t takes turns, dminAnd dmaxIt is d respectively
(t) minimum value and maximum value；
The traffic is handled as series of parameters, i.e. small parameter signal D (t)=(D1,,D2,D3,…Dn), D (t) is indicated in t wheel
Network information transfer ability；
Utilize carrier signal c (t)=(A0sin(2πfcT) the small parameter signal D (t) after normalization is modulated, obtains small ginseng
Signal s one number time (t)=D (t) gc (t)=D (t) (A0sin(2πfcT), A0It is expressed as amplitude, fcIt is expressed as signal frequency；
Small parameter periodic signal s (t) and the additive white Gaussian noise n (t) of superposition are input to together as system input signal
In nonlinear dynamic equation.
3. the gas-monitoring WSN node configuration method according to claim 1 or 2 based on nonlinear dynamic equation, special
Sign is that the nonlinear dynamic equation is accidental resonance equation.
4. the gas-monitoring WSN node configuration method according to claim 3 based on nonlinear dynamic equation, feature exist
In the accidental resonance equation is described as follows:
In formula, U and x relationship formula are the potential function of a bistable systemS (t)=Acos (2 π f0T) it is expressed as the input signal of nonlinear dynamic equation: small parameter period letter
Number, A is expressed as signal assignment, f0It is expressed as signal frequency, a, b > 0 is expressed as system parameter；N (t) is expressed as assembly average
The additive white Gaussian noise for being D for 0, noise intensity.
5. the gas-monitoring WSN node configuration method according to claim 4 based on nonlinear dynamic equation, feature exist
In the signal-to-noise ratio formula is as follows:
In formula, SNR is expressed as signal-to-noise ratio, U0It is expressed as barrier height, U0=a2/4b。
6. a kind of gas-monitoring WSN node configuration system based on nonlinear dynamic equation characterized by comprising
Module is obtained, for obtaining the initial data of the multiple sensors node in monitoring range and base station communication；
Preprocessing module, for being pre-processed to the initial data got；
Processing module, for pretreated data unbalanced input kinetic equation to be calculated the corresponding letter of each group initial data
It makes an uproar and compares size；
Module is matched, for determining the quantity of different sensors and the optimum proportioning of energy according to signal-to-noise ratio size.
7. the gas-monitoring WSN node configuration system according to claim 6 based on nonlinear dynamic equation, feature exist
In including following processing step in the preprocessing module:
The traffic of sensor node and base station in each round communication is obtained, and the traffic is pre-processed；
The traffic is handled as series of parameters；
The small parameter signal after normalization is modulated to obtain small parameter periodic signal using carrier signal；
The additive white Gaussian noise of small parameter periodic signal and superposition is input to Nonlinear Dynamic as system input signal together
In power equation.
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